Tag: Business Research BMS Notes

University of Mumbai BMS Notes

Historical, Exploratory, Descriptive, Casual Research

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Historical Research

Historical research data is subject to external criticism (verification of genuineness or validity of the source) and internal criticism (exploring the meaning of the source). Historical research has time and place dimensions. Simple chronology is not considered historical research because it does not interpret the meaning of events.

Historical research is a qualitative technique. Historical research studies the meaning of past events in an attempt to interpret the facts and explain the cause of events, and their effect in the present events. In doing so, researchers rely heavily on primary historical data (direct accounts of events, archival data – official documents, personal records, and records of eyewitnesses) and less frequently on secondary historical data.

Advantages

  • The research is not involved in the situation that is studied
  • The researchers do not interact with the subjects of study
  • Analysis of historical data may help explain current and future events

Shortcomings

  • Historical data is incomplete and vulnerable to time (documents can be destroyed by wars or over time)
  • It can also be biased and corrupt (e.g. diaries, letters, etc. are influenced by the person writing them)
  • Historical research is a complex and broad category because the topics of research (e.g. the study of a society) are affected by numerous factors that need to be considered and analysed.

Exploratory Research

Exploratory research is “the preliminary research to clarify the exact nature of the problem to be solved.” It is used to ensure additional research is taken into consideration during an experiment as well as determining research priorities, collecting data and honing in on certain subjects which may be difficult to take note of without exploratory research. It can include techniques, such as:

  • Secondary research, such as reviewing available literature and/or data
  • Informal qualitative approaches, such as discussions with consumers, employees, management or competitors
  • Formal qualitative research through in-depth interviews, focus groups, projective methods, case studies or pilot studies

Advantages

  • Flexibility and adaptability to change
  • Exploratory research is effective in laying the groundwork that will lead to future studies.
  • Exploratory studies can potentially save time and other resources by determining at the earlier stages the types of research that are worth pursuing

Disadvantages

  • Exploratory studies generate qualitative information and interpretation of such type of information is subject to bias
  • These types of studies usually make use of a modest number of samples that may not adequately represent the target population. Accordingly, findings of exploratory research cannot be generalized to a wider population.
  • Findings of such type of studies are not usually useful in decision making in a practical level.

Exploratory research Steps

  • Identify the problem: A researcher identifies the subject of research and the problem is addressed by carrying out multiple methods to answer the questions.
  • Create the hypothesis: When the researcher has found out that there are no prior studies and the problem is not precisely resolved, the researcher will create a hypothesis based on the questions obtained while identifying the problem.
  • Further research: Once the data has been obtained, the researcher will continue his study through descriptive investigation. Qualitative methods are used to further study the subject in detail and find out if the information is true or not.

Descriptive Research

Descriptive research is used to describe characteristics of a population or phenomenon being studied. It does not answer questions about how/when/why the characteristics occurred. Rather it addresses the “what” question (what are the characteristics of the population or situation being studied?). The characteristics used to describe the situation or population are usually some kind of categorical scheme also known as descriptive categories. For example, the periodic table categorizes the elements. Scientists use knowledge about the nature of electrons, protons and neutrons to devise this categorical scheme. We now take for granted the periodic table, yet it took descriptive research to devise it. Descriptive research generally precedes explanatory research. For example, over time the periodic table’s description of the elements allowed scientists to explain chemical reaction and make sound prediction when elements were combined.

Hence, descriptive research cannot describe what caused a situation. Thus, descriptive research cannot be used as the basis of a causal relationship, where one variable affects another. In other words, descriptive research can be said to have a low requirement for internal validity.

The description is used for frequencies, averages and other statistical calculations. Often the best approach, prior to writing descriptive research, is to conduct a survey investigation. Qualitative research often has the aim of description and researchers may follow-up with examinations of why the observations exist and what the implications of the findings are.

Types of Descriptive Research

Descriptive research is classified into different types according to the kind of approach that is used in conducting descriptive research. The different types of descriptive research are highlighted below:

  • Descriptive-survey

Descriptive-survey research uses surveys to gather data about varying subjects. This data aims to know the extent to which different conditions can be obtained among these subjects.

For example, a researcher wants to determine the qualification of employed professionals in Maryland. He uses a survey as his research instrument, and each item on the survey related to qualifications is subjected to a Yes/No answer.

This way, the researcher can describe the qualifications possessed by the employed demographics of this community.

  • Descriptive-normative survey

This is an extension of the descriptive-survey, with the addition being the normative element. In the descriptive-normative survey, the results of the study should be compared with the norm.

For example, an organization that wishes to test the skills of its employees by a team may have them take a skills test. The skills tests are the evaluation tool in this case, and the result of this test is compared with the norm of each role.

If the score of the team is one standard deviation above the mean, it is very satisfactory, if within the mean, satisfactory, and one standard deviation below the mean is unsatisfactory.

  • Descriptive-status

This is a quantitative description technique that seeks to answer questions about real-life situations. For example, a researcher researching the income of the employees in a company, and the relationship with their performance.

A survey will be carried out to gather enough data about the income of the employees, then their performance will be evaluated and compared to their income. This will help determine whether a higher income means better performance and low income means lower performance or vice versa.

  • Descriptive-analysis

Descriptive-analysis method of research describes a subject by further analyzing it, which in this case involves dividing it into 2 parts. For example, the HR personnel of a company that wishes to analyze the job role of each employee of the company may divide the employees into the people that work at the Headquarters in the US and those that work from Oslo, Norway office.

A questionnaire is devised to analyze the job role of employees with similar salaries and work in similar positions.

  • Descriptive classification

This method is employed in biological sciences for the classification of plants and animals. A researcher who wishes to classify the sea animals into different species will collect samples from various search stations, then classify them accordingly.

  • Descriptive-comparative

In descriptive-comparative research, the researcher considers 2 variables which are not manipulated, and establish a formal procedure to conclude that one is better than the other. For example, an examination body wants to determine the better method of conducting tests between paper-based and computer-based tests.

A random sample of potential participants of the test may be asked to use the 2 different methods, and factors like failure rates, time factors, and others will be evaluated to arrive at the best method.

  • Correlative Survey

Correlative used to determine whether the relationship between 2 variables is positive, negative, or neutral. That is, if 2 variables, say X and Y are directly proportional, inversely proportional or are not related to each other.

Characteristics of descriptive research

The term descriptive research then refers to research questions, design of the study, and data analysis conducted on that topic. We call it an observational research method because none of the research study variables are influenced in any capacity.

Some distinctive characteristics of descriptive research are:

  • Quantitative research: Descriptive research is a quantitative research method that attempts to collect quantifiable information for statistical analysis of the population sample. It is a popular market research tool that allows us to collect and describe the demographic segment’s nature.
  • Uncontrolled variables: In descriptive research, none of the variables are influenced in any way. This uses observational methods to conduct the research. Hence, the nature of the variables or their behavior is not in the hands of the researcher.
  • Cross-sectional studies: Descriptive research is generally a cross-sectional study where different sections belonging to the same group are studied.
  • The basis for further research: Researchers further research the data collected and analyzed from descriptive research using different research techniques. The data can also help point towards the types of research methods used for the subsequent research.

Casual Research

Causal research, also called explanatory research, is the investigation of (research into) cause-and-effect relationships. To determine causality, it is important to observe variation in the variable assumed to cause the change in the other variables, and then measure the changes in the other variables. Other confounding influences must be controlled for so they don’t distort the results, either by holding them constant in the experimental creation of data, or by using statistical methods. This type of research is very complex and the researcher can never be completely certain that there are no other factors influencing the causal relationship, especially when dealing with people’s attitudes and motivations. There are often much deeper psychological considerations that even the respondent may not be aware of.

There are two research methods for exploring the cause-and-effect relationship between variables: experimentation (e.g., in a laboratory) and statistical research.

Objectives:

  • Understanding which variables are the cause, and which variables are the effect. For example, let’s say a city council wanted to reduce car accidents on their streets. They might find through preliminary descriptive and exploratory research that both accidents and road rage have been steadily increasing over the past 5 years. Instead of automatically assuming that road rage is the cause of these accidents, it would be important to measure whether the opposite could be true. Maybe road rage increases in light of more accidents due to lane closures and increased traffic. It could also be the case of the old adage “correlation does not guarantee causation.” Maybe both are increasing due to another reason like construction, lack of proper traffic controls, or an influx of new drivers.
  • Determining the nature of the relationship between the causal variables and the effect predicted. Continuing with our example, let’s say the city council proved that road rage had an increasing effect on the number of car accidents in the area. The causal research could be used for two things. First measuring the significance of the effect, like quantifying the percentage increase in accidents that can be contributed by road rage. Second, observing how the relationship between the variables works (i.e., enraged drivers are prone to accelerating dangerously or taking more risks, resulting in more accidents).

Advantages of causal researches

  • Causal research helps identify the causes behind processes taking place in the system. Having this knowledge helps the researcher to take necessary actions to fix the problems or to optimize the outcomes.
  • Causal research provides the benefits of replication if there is a need for it.
  • Causal research helps identify the impacts of changing the processes and existing methods.
  • In causal research, the subjects are selected systematically. Because of this, causal research is helpful for higher levels of internal validity.

Disadvantages of causal research

  • The causal research is difficult to administer because sometimes it is not possible to control the effects of all extraneous variables.
  • Causal research is one of the most expensive research to conduct. The management requires a great deal of money and time to conduct research. Sometimes it costs more than 1 or 2 million dollars to test real-life two advertising campaigns.
  • One disadvantage of causal research is that it provides information about your plans to your competitors. For example, they might use the outcomes of your research to identify what you are up to and enter the market before you.
  • The findings of causal research are always inaccurate because there will always be a few previous causes or hidden causes that will be affecting the outcome of your research. For example, if you are planning to study the performance of a new advertising campaign in an already established market. Then it is difficult for you to do this as you don’t know the advertising campaign solely influences the performance of your business understudy or it is affected by the previous advertising campaigns.
  • The results of your research can be contaminated as there will always be a few people outside your market that might affect the results of your study.
  • Another disadvantage of using causal research is that it takes a long time to conduct this research. The accuracy of the causal research is directly proportional to the time you spend on the research as you are required to spend more time to study the long-term effects of a marketing program.
  • Coincidence in causal research is the biggest flaw of the research. Sometimes, the coincidence between a cause and an effect can be assumed as a cause and effect relationship.
  • You can’t conclude merely depending on the outcomes of the causal research. You are required to conduct other types of research alongside the causal research to confirm its output.
  • Sometimes, it is easy for a researcher to identify that two variables are connected, but to determine which variable is the cause and which variable is the effect is challenging for a researcher.
University of Mumbai BMS Notes

Pure, Basic and Fundamental Research

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Basic research, also called pure research or fundamental research, is a type of scientific research with the aim of improving scientific theories for better understanding and prediction of natural or other phenomena.

Basic research focuses on the search for truth or the development of theory. Because of this property, basic research is fundamental. Researchers with their fundamental background knowledge “design studies that can test, refine, modify, or develop theories.”

In contrast, applied research uses scientific theories to develop technology or techniques which can be used to intervene and alter natural or other phenomena. Though often driven simply by curiosity, basic research often fuels the technological innovations of applied science. The two aims are often practiced simultaneously in coordinated research and development.

Basic research advances fundamental knowledge about the world. It focuses on creating and refuting or supporting theories that explain observed phenomena. Pure research is the source of most new scientific ideas and ways of thinking about the world. It can be exploratory, descriptive, or explanatory; however, explanatory research is the most common.

Basic research generates new ideas, principles, and theories, which may not be immediately utilized but nonetheless form the basis of progress and development in different fields. Today’s computers, for example, could not exist without research in pure mathematics conducted over a century ago, for which there was no known practical application at the time. Basic research rarely helps practitioners directly with their everyday concerns; nevertheless, it stimulates new ways of thinking that have the potential to revolutionize and dramatically improve how practitioners deal with a problem in the future.

Here are a few examples of questions asked in pure research:

  • How did the universe begin?
  • What are protons, neutrons, and electrons composed of?
  • How do slime molds reproduce?
  • How do the Neo-Malthusians view the Malthusian theory?
  • What is the specific genetic code of the fruit fly?
  • What is the relevance of the dividend theories in the capital market?

Basic Research Method

  • Interview

An interview is a common method of data collection in basic research that involves having a one-on-one interaction with an individual in order to gather relevant information about a phenomenon. Interview can be structured, unstructured or semi-structured depending on the research process and objectives. 

In a structured interview, the researcher asks a set of premeditated questions while in an unstructured interview, the researcher does not make use of a set of premeditated questions. Rather he or she depends on spontaneity and follow-up questioning in order to gather relevant information.

On the other hand, a semi-structured interview is a type of interview that allows the researcher to deviate from premeditated questions in order to gather more information about the research subject. You can conduct structured interviews online by creating and administering a survey online on Online tool.

  • Observation

Observation is a type of data-gathering method that involves paying close attention to a phenomenon for a specific period of time in order to gather relevant information about its behaviors. When carrying out basic research, the researcher may need to study the research subject for a stipulated period as it interacts with its natural environment.

Observation can be structured or unstructured depending on its procedures and approach. In structured observation, the data collection is carried out using a predefined procedure and in line with a specific schedule while unstructured observation is not restricted to a predetermined procedure.

  • Experiment

An experiment is a type of quantitative data-gathering method that seeks to validate or refute a hypothesis and it can also be used to test existing theories. In this method of data collection, the researcher manipulates dependent and independent variables to achieve objective research outcomes.

  • Questionnaire

A questionnaire is a data collection tool that is made up of a series of questions to which the research subjects provide answers. It is a cost-effective method of data gathering because it allows you to collect large samples of data from the members of the group simultaneously.

You can create and administer your pure research questionnaire online using Online tool and you can also make use of paper questionnaires; although these are easily susceptible to damage.

  Fundamental research Applied research
 

 

 

Purpose

 Expand knowledge of processes of business and management

Results in universal principles relating to the process and its relationship to outcomes

Findings of significance and value to society in general

 Improve understanding of particular business or management problem

Results in solution to problem

New knowledge limited to problem

Findings of practical relevance and value to managers in organizations
 

 

Context

 Undertaken by people based in universities

Choice of topic and objectives determined by the researcher

Flexible time scales

 Undertaken by people based in a variety of settings including organizations and universities

Objectives negotiated with originator

Tight time scales

University of Mumbai BMS Notes

Variables Research

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A variable is, as the name applies, something that varies. Age, sex, export, income and expenses, family size, country of birth, capital expenditure, class grades, blood pressure readings, preoperative anxiety levels, eye color, and vehicle type are all examples of variables because each of these properties varies or differs from one individual to another.

A variable in research simply refers to a person, place, thing, or phenomenon that you are trying to measure in some way. The best way to understand the difference between a dependent and independent variable is that the meaning of each is implied by what the words tell us about the variable you are using.

Types of Variable

Qualitative Variables

An important distinction between variables is between the qualitative variable and the quantitative variable.

Qualitative variables are those that express a qualitative attribute such as hair color, religion, race, gender, social status, method of payment, and so on. The values of a qualitative variable do not imply a meaningful numerical ordering.

The value of the variable ‘religion’ (Muslim, Hindu,  ..,etc.) differs qualitatively; no ordering of religion is implied. Qualitative variables are sometimes referred to as categorical variables.

Categorical variables may again be described as nominal and ordinal.

Ordinal variables are those which can be logically ordered or ranked higher or lower than another but do not necessarily establish a numeric difference between each category, such as examination grades (A+, A, B+, etc., clothing size (Extra-large, large, medium, small).

Nominal variables are those who can neither be ranked nor logically ordered, such as religion, sex, etc.

A qualitative variable is a characteristic that is not capable of being measured but can be categorized to possess or not to possess some characteristics.

Quantitative Variables

Quantitative variables, also called numeric variables, are those variables that are measured in terms of numbers. A simple example of a quantitative variable is a person’s age.

The age can take on different values because a person can be 20 years old, 35 years old, and so on. Likewise, family size is a quantitative variable, because a family might be comprised of one, two, three members, and so on.

That is, each of these properties or characteristics referred to above varies or differs from one individual to another. Note that these variables are expressed in numbers, for which we call them quantitative or sometimes numeric variables.

A quantitative variable is one for which the resulting observations are numeric and thus possesses a natural ordering or ranking.

Discrete and Continuous Variables

Quantitative variables are again of two types: discrete and continuous.

Variables such as some children in a household or number of defective items in a box are discrete variables since the possible scores are discrete on the scale.

Discrete Variable

A discrete variable, restricted to certain values, usually (but not necessarily) consists of whole numbers, such as the family size, number of defective items in a box. They are often the results of enumeration or counting.

Dependent Variable

The variable that is used to describe or measure the problem or outcome under study is called a dependent variable.

In a causal relationship, the cause is the independent variable, and the effect is the dependent variable. If we hypothesize that smoking causes lung cancer, ‘smoking’ is the independent variable and cancer the dependent variable.

Continuous Variable

A continuous variable is one that may take on an infinite number of intermediate values along a specified interval. Examples are:

  • The sugar level in the human body
  • Blood pressure reading
  • Temperature
  • Height or weight of the human body
  • Rate of bank interest
  • Internal rate of return (IRR)

Independent Variable

The variable that is used to describe or measure the factor that is assumed to cause or at least to influence the problem or outcome is called an independent variable.

The definition implies that the experimenter uses the independent variable to describe or explain the influence or effect of it on the dependent variable.

Variability in the dependent variable is presumed to depend on variability in the independent variable.

Dependent and Independent Variables

In many research settings, there are two specific classes of variables that need to be distinguished from one another, independent variable and dependent variable.

Many research studies are aimed at unrevealing and understanding the causes of underlying phenomena or problems with the ultimate goal of establishing a causal relationship between them.

Background Variable

In almost every study, we collect information such as age, sex, educational attainment, socioeconomic status, marital status, religion, place of birth, and the like. These variables are referred to as background variables.

These variables are often related to many independent variables so that they influence the problem indirectly. Hence, they are called background variables.

Extraneous Variable

Most studies concern the identification of a single independent variable and the measurement of its effect on the dependent variable.

But still, several variables might conceivably affect our hypothesized independent-dependent variable relationship, thereby distorting the study. These variables are referred to as extraneous variables.

Moderating Variable

In any statement of relationships of variables, it is normally hypothesized that in some way, the independent variable ’causes’ the dependent variable to occur. In simple relationships, all other variables are extraneous and are ignored. In actual study situations, such a simple one-to-one relationship needs to be revised to take other variables into account to better explain the relationship.

Suppressor Variable

In many cases, we have good reasons to believe that the variables of interest have a relationship within themselves, but our data fail to establish any such relationship. Some hidden factors may be suppressing the true relationship between the two original variables.

Such a factor is referred to as a suppressor variable because it suppresses the actual relationship between the other two variables.

Intervening Variable

Often an apparent relationship between two variables is caused by a third variable.

For example, variables X and Y may be highly correlated, but only because X causes the third variable, Z, which in turn causes Y. In this case, Z is the intervening variable.

Management Notes

Difference between Salary and Wages

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Salary

Salary is a fixed regular payment, typically paid on a monthly basis, for the performance of work or services. Unlike wages, which are often calculated on an hourly or weekly basis, salaries provide employees with a consistent and predetermined amount of compensation, regardless of the number of hours worked.

Components:

  1. Base Salary:

The core, fixed amount of money paid to an employee on a regular basis, forming the foundation of the overall salary. Reflects the employee’s role, responsibilities, and experience.

  1. Bonuses:

Additional monetary rewards provided to employees, often based on performance, company profits, or specific achievements. Motivates employees and aligns their efforts with organizational goals.

  1. Allowances:

Supplementary payments intended to cover specific expenses or costs related to the job, such as housing, transportation, or meals. Addresses the financial impact of job-related requirements.

  1. Benefits:

Non-monetary compensation, including healthcare, retirement plans, and other perks, provided to enhance employees’ overall well-being. Contributes to employee satisfaction and work-life balance.

  1. Overtime Pay:

Additional compensation for hours worked beyond the standard workweek, often calculated at a higher rate than the regular hourly pay. Compensates employees for extra effort and time invested in work.

  1. Performance–Based Incentives:

Variable payments linked to individual or team performance, encouraging employees to achieve specific goals or targets. Aligns compensation with results and fosters a performance-driven culture.

  1. Profit Sharing:

Sharing company profits with employees, providing them with a stake in the organization’s financial success. Aligns the interests of employees with the overall success of the business.

  1. Commissions:

Payments based on sales or revenue generated by an employee, common in roles with direct sales responsibilities. Rewards employees for their contribution to revenue generation.

  1. Retirement Benefits:

Contributions made by the employer to retirement plans, such as 401(k) or pension schemes. Supports employees in building financial security for their post-work years.

  • Stock Options:

The right to purchase company stock at a predetermined price, offering employees a share in the company’s ownership. Aligns employees’ interests with the company’s long-term success.

  • Education and Training Support:

Financial assistance provided by the employer for the education and skill development of employees. Promotes continuous learning and professional growth.

  • Health and Wellness Programs:

Initiatives and benefits aimed at promoting employees’ physical and mental well-being. Enhances employee health, productivity, and job satisfaction.

  • Vacation and Leave Benefits:

Paid time off from work, including vacation days, holidays, and other types of leave. Supports work-life balance and employee well-being.

  • Severance Pay:

Compensation provided to employees upon termination of employment, often based on factors like length of service. Offers financial support during transitions and provides a safety net for employees.

  • Other Perquisites (Perks):

Additional benefits or privileges provided to employees, such as company cars, memberships, or flexible work arrangements. Enhances the overall employment experience and contributes to employee satisfaction.

Wages

Wages refer to the compensation paid to an employee for the hours worked or services rendered, often calculated on an hourly, daily, or weekly basis. Unlike salaries, which provide a fixed amount irrespective of hours worked, wages are directly tied to the time spent on the job.

Components:

  1. Hourly Rate:

The amount paid for each hour worked by an employee. Forms the basic unit for calculating wages based on time.

  1. Overtime Pay:

Additional compensation provided for hours worked beyond the standard workweek or regular working hours. Compensates employees for extra effort and time beyond the standard working hours.

  1. Piece-Rate Pay:

Compensation based on the number of units produced or tasks completed. Directly links pay to productivity and output.

  1. Commission:

A percentage of sales or revenue earned by an employee, common in sales roles. Rewards employees based on their contribution to generating business.

  1. Tips and Gratuities:

Additional payments received by employees, often in service industries, as a form of appreciation from customers. Augments income and is often based on customer satisfaction.

  1. Holiday Pay:

Compensation for hours worked on recognized holidays. Encourages employees to work during holiday periods and compensates for the disruption to personal time.

  1. Shift Differentials:

Additional pay for working shifts that fall outside regular daytime hours. Compensates for inconveniences associated with non-standard working hours.

  1. Bonuses (Variable):

Additional payments beyond regular wages, often tied to performance, project completion, or other achievements. Acts as an incentive and recognition for exceptional contributions.

  1. Piecework Bonuses:

Additional payments for meeting or exceeding production targets in piecework arrangements.  Motivates employees to achieve or surpass production goals.

  • Travel Allowances:

Compensation for work-related travel expenses, such as mileage or transportation costs. Addresses additional costs incurred while traveling for work.

  • Uniform or Tool Allowances:

Payments provided to cover the cost of uniforms, tools, or equipment required for the job. Supports employees in meeting job-specific requirements.

  • Incentive Pay:

Additional compensation tied to achieving specific targets, often related to productivity or efficiency. Encourages employees to meet or exceed performance expectations.

  • Danger Pay:

Additional compensation for employees working in hazardous conditions or environments. Recognizes the risks associated with certain jobs.

  • Call-out Pay:

Compensation for employees called in to work outside their regular schedule, often applicable to on-call positions. Compensates for the inconvenience of being available on short notice.

  • Benefits (Limited):

Some wage-related benefits, such as health insurance or retirement contributions, may be provided, but to a lesser extent compared to salary packages. Enhances the overall compensation package, albeit on a more limited scale compared to salaried positions.

Difference between Salary and Wages

Basis of Comparison

 Salary

Wages
Payment Frequency Monthly Hourly or Weekly
Consistency Fixed, stable Variable, fluctuates
Calculation Basis Annual rate / 12 Hourly rate x Hours worked
Overtime Compensation Typically included Paid separately
Employment Level Often for salaried employees Common for hourly workers
Work Hours Impact Irrelevant to pay Directly affects earnings
Benefits Often includes benefits Limited or no benefits
Professional Positions Common for white-collar jobs Common for blue-collar jobs
Skill-Based Reflects skills and qualifications Often skill-independent
Administrative Work Common for managerial roles Common for administrative roles
Unionization Less common for unionized jobs Common in unionized settings
Job Complexity Reflects job responsibilities May not directly reflect complexity
Job Stability Generally perceived as stable Can be influenced by job market
Performance Impact Less direct impact on pay Directly impacts pay through hours
Perception in Society Often associated with higher status May not carry the same status

Management Notes

Effect of Various Labour Laws on Wages

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Labour laws play a pivotal role in shaping the employment landscape and influencing wage structures within a country. These laws are designed to regulate the relationship between employers and employees, ensuring fair treatment, safe working conditions, and just compensation. The impact of labour laws on wages is multifaceted, encompassing aspects such as minimum wage regulations, overtime pay, equal pay for equal work, and various other provisions aimed at protecting workers’ rights. Labour laws wield substantial influence over wage structures, seeking to establish a balance between the interests of employers and the rights of workers. While these laws are crafted with the intention of promoting fairness, equity, and worker protection, their impact is subject to various challenges. Striking the right balance between regulation and flexibility, addressing regional disparities, and adapting to evolving workforce dynamics are ongoing challenges for policymakers and businesses alike. Nevertheless, a well-crafted and effectively enforced legal framework is essential for fostering a work environment where wages are just, working conditions are safe, and the rights of workers are upheld.

Minimum Wage Regulations:

Intended Benefits:

  • Fair Compensation:

Minimum wage laws are enacted to ensure that workers receive a baseline level of compensation deemed necessary for a decent standard of living. This promotes economic justice by preventing the exploitation of vulnerable workers.

  • Poverty Alleviation:

Setting a minimum wage helps lift workers out of poverty, providing them with the means to cover essential living expenses. This has broader societal implications, contributing to poverty reduction.

Challenges:

  • Impact on Small Businesses:

Critics argue that higher minimum wages can impose financial burdens on small businesses, potentially leading to job cuts or increased prices for goods and services.

  • Regional Disparities:

Minimum wage regulations may not adequately account for regional variations in living costs, creating challenges in finding a one-size-fits-all solution that addresses the diverse economic landscapes within a country.

Equal Pay for Equal Work:

Intended Benefits:

  • Gender Pay Equity:

Labour laws promoting equal pay for equal work aim to eliminate gender-based wage disparities. This contributes to gender equality in the workplace, fostering a fair and inclusive environment.

  • Fair Treatment:

The principle of equal pay extends to all forms of discrimination, ensuring that employees are not subjected to wage disparities based on race, ethnicity, or other protected characteristics.

Challenges:

  • Data Accuracy and Transparency:

Implementing equal pay measures requires accurate and transparent data on employees’ roles, responsibilities, and compensation. Some organizations may face challenges in collecting and disclosing this information.

  • Subjectivity in Job Evaluation:

Determining what constitutes “equal work” can be subjective, and variations in job roles may complicate efforts to ensure equal pay. Standardizing job evaluation methodologies is a complex task.

Overtime Pay and Working Hours:

Intended Benefits:

  • Fair Compensation for Extra Effort:

Overtime pay regulations are intended to compensate employees for working beyond standard hours. This ensures that employees are fairly rewarded for their additional efforts.

  • Limiting Exploitative Practices:

Labour laws prescribing limits on working hours and overtime seek to prevent exploitative practices and promote a healthy work-life balance. This contributes to employee well-being and job satisfaction.

Challenges:

  • Operational Constraints:

Industries with fluctuating workloads may face challenges in accommodating strict working hour regulations. Flexibility in working hours may be crucial for certain sectors.

  • Compliance Monitoring:

Ensuring compliance with overtime regulations requires effective monitoring mechanisms, which can be resource-intensive for regulatory authorities.

Collective Bargaining and Trade Union Laws:

Intended Benefits:

  • Negotiating Power for Workers:

Collective bargaining laws empower workers to negotiate wages and working conditions collectively. This enhances their bargaining power, leading to more equitable agreements with employers.

  • Labour Market Stability:

By providing a structured framework for negotiations, collective bargaining laws contribute to labour market stability, reducing the likelihood of widespread strikes or industrial unrest.

Challenges:

  • Power Imbalances:

In situations where there is a significant power imbalance between employers and workers, collective bargaining may be challenging. This is particularly relevant in industries with limited unionization.

  • Potential for Disruption:

While collective bargaining aims for mutually beneficial agreements, disputes can arise, leading to work stoppages and disruptions that impact both workers and employers.

Social Security and Benefits:

Intended Benefits:

  • Worker Well-being:

Labour laws pertaining to social security and benefits, such as healthcare, retirement plans, and disability insurance, aim to enhance the overall well-being of workers.

  • Attracting and Retaining Talent:

Competitive benefit packages can attract skilled workers and contribute to employee retention. Labour laws often prescribe minimum standards for these benefits.

Challenges:

  • Financial Strain on Employers:

Mandating certain benefits can place a financial burden on employers, especially smaller businesses. Striking a balance between worker welfare and business viability is crucial.

  • Changing Workforce Dynamics:

The rise of the gig economy and non-traditional employment arrangements poses challenges in adapting social security and benefit regulations to accommodate diverse work structures.

Child Labour and Forced Labour Laws:

Intended Benefits:

  • Protecting Vulnerable Populations:

Laws prohibiting child labour and forced labour are designed to protect vulnerable populations from exploitation. These regulations prioritize the well-being of children and individuals subjected to coercion.

  • Ethical Business Practices:

Compliance with child labour and forced labour laws is integral to promoting ethical business practices. Organizations adhering to these regulations contribute to global efforts against human rights abuses.

Challenges:

  • Enforcement and Monitoring:

Effectively enforcing laws against child labour and forced labour requires robust monitoring systems, especially in industries where such practices may be prevalent.

  • Global Supply Chain Complexity:

Addressing child labour and forced labour becomes complex in global supply chains, where products may pass through multiple jurisdictions with varying regulations and enforcement capacities.

Management Notes

The Impact of Information Technology in Retailing

indiafreenotesby indiafreenotes3

Information technology (IT) has had a profound impact on the retail industry, transforming various aspects of the business from operations and customer interactions to supply chain management and overall strategic decision-making. The integration of IT in retailing has led to increased efficiency, improved customer experiences, and enhanced competitiveness.

Technology has always played a major role, creating a massive impact in reviving the retail industry, bringing it reknown and repute. It is assisting retailers to become highly-equipped and advanced in the way they enhance the experience for consumers.

The Industry Growth

As per Euromonitor International’s recent retailing research, the market size of Modern Grocery Retailers in retail value sales at current prices (including inflation) was Rs 603 billion in 2017. Modern Grocery Retailers grew at 13.2 percent in 2016- 17. The category is forecast to grow by CAGR 9.2 percent through 2017-22.

The search for a one-stop shopping destination keeps making consumers shift from traditional to modern retailing stores. Modern retail stores attract footfalls in their physical store in Tier I and Tier II equally, albeit for different reasons. Aspirational Tier II consumers look at modern retailers as places to experience the new age retail. Equally Tier II & III cities have lucrative geographies for expansion of modern retail.

Retailers are tapping on to this new market of aspirational consumers increasingly. The lack of presence of most of the international and a major portion of national brands in these areas, have led consumers to resort to online channels in Tier II cities.

IT in Retail Importance

  • To collect and analyze customer data while enhancing differentiation.
  • To increase the company’s ability to respond to the evolving marketplace through enhanced speed and flexibility.
  • To work effectively; retailers need one system working across stores (or even across national borders) to make sure the most effective use of stock and improve business processes.

Helpful for Retailer:

  • Transparency and tracking

Retailers must increase transparency between systems, as well as obtain better tracking to integrate systems from manufacturer through to the consumer while obtaining customer and sales information.

  • Customer data

Many retailers struggle with information overload because they’re required to collect and sift through mass amounts of data, then convert it into useful information in a customer-centric industry.

  • PCI Security Compliance

PCI Security Compliance addresses the retailer’s internal security setup and practices, in order to mitigate payment security risks. Every business engaged in credit card payment processing is required to comply with PCI Security Standards. If a retailer collects or stores credit card information that becomes compromised, the retailer may lose the ability to accept credit card payments. Other possible consequences include lawsuits, insurance claims, cancelled accounts, and government fines.

  • Global data synchronization

Due to radio frequency identification/electronic product coding, the entire supply chain has become more intelligent. Retailers must enable the use of real-time data to watch inventory levels. In addition, radio frequency identification tagging positions the company to be able to safeguard its shipments by allowing products to be tracked from manufacturer through the entire supply chain.

Advantages of Information Technology in Retailing

  • Automating processes

Automating a process render many advantages to the retailers. It reduces costs, increases accuracy, reduces processing times, enables quick decision and speeds up customer service.

For example, EPOS (electronic point of sales) uses scanning systems. It ensures accurate prices, enables checkout staff to work faster, and it eliminates the need to fix price label to goods. All these factors reduce the cost considerably.

  • Collecting data about the customer

The purchase details of individual shoppers are collected and analyzed. Product extensions and promotions are based on the analysis of purchasing patterns of different types of shoppers.

Demographic information about the customers is known from a loyalty card database. The entries in the loyalty card are related to transactions data furnished by EPOS. These data can be further used to profile a customer base. This facilitates specific offers to be made to certain types of customers.

A retailer may send mail order catalogue to all loyalty card holders who have bought in the previous year. Moreover, internet and e-commerce sites use previous transactions information to personalize their sites for each shopper by offering them product items that have been related to their last few transactions. They automatically greet them by name when they enter the site.

  • Feedback on marketing decisions

Analysis of EPOS data helps the retailer in knowing the effect of promotion, prices, new products and packaging changes. Retailers can assess the impact of changes in layout or merchandising of stores in terms of category sales, competitor brands, gross profit and sales in the store. Innovative product ideas may be tested against the realities prevailing in the market. In short, the EPOS data analysis helps the company in

  • Evaluating its promotions
  • Calculating customer price responsiveness for core and seasonal products.
  • Predicting the outcome of its newly adopted policies.
  • Planning its promotional measures.

 

  • Communication

The stores manager indulges in effective communication with his suppliers. He sends documents such as purchase orders, stock and sales information over third party communication networks. This is electronic commerce. This method works fast and costs less. It is sufficient for stores to place their orders one or two days and in advance against seven days earlier in the traditional paper based method.

Store computers transmit EPOS data to the head office on daily basis. So, the senior manager is able to assess the performance of every store and product group.

Stock replenishment is done automatically. The computer system receives daily EPOS data from each store and next day’s stock requirements are known.

The system automatically sends the requirement electronically overnight to the distribution centre. So, delivery of merchandise is possible the very next day.

Effective communication reduces the lead time. It is the time taken between sending an order and receiving the merchandise.

Tools for Planning the business

(i) With the use of sophisticated computer software packages, retailers are able to

  • Plan, budget and forecast,
  • Choose the most successful location; and
  • Control their business.

(ii) Model decision making, statistical packages of sales forecast and data mining tools are available for retailers.

(iii) Retailers can also use geographic information systems (GIS).

(iv) Socio demographic data along with company transactions data and intelligent analytical tools are used to forecast sales in different stores.

  • Adding value to the retail transaction

Customers prefer IT assisted transactions to traditional retailing because IT assisted transactions provide speed, accuracy and convenience. For example, ATMs are used at any time of day. Thus, use of IT adds value to retailing.

  • Technology enabled shopping

Selling goods over the internet is becoming popular. Electronic means of selling include the following.

  • Products: Grocery, clothing, footwear, music, books, videos, cameras, photographic goods, computer hardware and software, pharmacy goods etc.
  • Services: Retail banking, personal insurance, financial service, real estate, stocks and shares, Tourism, florists, entertainment tickets, virtual education, information services, etc.

Thus, IT is transforming the nature of products, processes, companies, industries and even competition itself. The spectacular reach of IT is widely accepted today.

Components

  • E-commerce and Online Retailing:

Information technology has fueled the growth of e-commerce, enabling retailers to establish online platforms for buying and selling products. E-commerce platforms provide a convenient and accessible way for customers to browse, shop, and make transactions.

  • Point-of-Sale (POS) Systems:

POS systems, powered by IT, have replaced traditional cash registers. These systems streamline transactions, track sales, manage inventory, and provide valuable data for decision-making.

  • Supply Chain Management:

IT has revolutionized supply chain management in retail. Technologies like RFID (Radio-Frequency Identification), barcoding, and advanced analytics help in real-time tracking of inventory, reducing stockouts and overstock situations.

  • Customer Relationship Management (CRM):

CRM systems leverage IT to manage and analyze customer data. Retailers can personalize marketing efforts, track customer interactions, and enhance customer loyalty through targeted promotions and communication.

  • Data Analytics and Business Intelligence:

Retailers use data analytics and business intelligence tools to gain insights into consumer behavior, market trends, and operational efficiency. This data-driven approach supports informed decision-making and strategy formulation.

  • Mobile Commerce (m–commerce):

The rise of smartphones and mobile apps has given birth to mobile commerce. Retailers leverage IT to create mobile-friendly platforms, enabling customers to shop, compare prices, and make transactions using their mobile devices.

  • Augmented Reality (AR) and Virtual Reality (VR):

AR and VR technologies enhance the shopping experience. Retailers use these technologies for virtual try-ons, interactive product displays, and creating immersive environments that engage customers.

  • Social Media Integration:

IT facilitates the integration of social media platforms into retail strategies. Retailers use social media for marketing, customer engagement, and gathering insights into consumer preferences.

  • Automated Checkout Systems:

Self-checkout systems and automated kiosks, driven by IT, offer an efficient and convenient alternative for customers. These systems reduce wait times and enhance the overall shopping experience.

  • Personalized Marketing:

IT enables retailers to implement personalized marketing strategies. Through data analysis, retailers can create targeted promotions, personalized recommendations, and individualized communication based on customer preferences.

  • Cloud Computing:

Cloud computing technologies have streamlined data storage, processing, and collaboration. Retailers use cloud-based solutions for inventory management, data analytics, and overall business operations.

  • Artificial Intelligence (AI) and Machine Learning (ML):

AI and ML technologies are used for predictive analytics, demand forecasting, chatbots for customer service, and enhancing the overall efficiency of retail operations.

  • Voice Commerce:

 Voice-activated technologies, such as virtual assistants, have introduced new ways of shopping. Customers can use voice commands to search for products, place orders, and receive personalized recommendations.

  • Cybersecurity:

As retail operations become more digitized, the importance of cybersecurity has grown. IT is crucial in implementing robust security measures to protect customer data and secure online transactions.

  • Internet of Things (IoT):

IoT devices, such as smart shelves and connected devices in stores, contribute to real-time monitoring of inventory, temperature control, and other operational aspects, improving overall efficiency.

  • Feedback and Reviews Platforms:

IT facilitates the collection and analysis of customer feedback and reviews.

Limitations of Using Information Technology in Retailing

  • Originally IT was used by retailers to automate control services such as finance, pay roll, and management accounts. Electronic point of sales systems can be afford only by a very few department stores. Basically, retailing is a highly dispersed business. Retailers have to incur enormous amount of expenditure on installation of IT equipment in their retail business.

  • Retailing involves a wide array of products. So, a complex system is required to handle a large number of product lines.
  •  In retail stores, staff may have limited knowledge about computers. So, computer specialists are to be employed to deal with the automation process. Only the largest retailers can afford to employ technically qualified people.
  • The costs of routine investment in automation process is very high.
  • Many IT projects fail and the risk of such failure is too high for retailers.
  • According to Prof. John Sawson, many retailers concentrate on operational improvement rather than transformational ones. The expected pay off from IT has not been fully realized. Retailers devote only a small amount of their budgets to IT.
  • Getting the full benefits of IT may actually take a longer time. Retailers should learn how best to exploit the new systems. Many U.K. grocers invested in EPOS in the 1980s. But only a few made effective use of information about customer’s shopping behavior. Only after making heavy investments and learning from experience, retailers could create IT based stock replenishment system.

  • IT alone has not produced performance advantage in the retail industry.

Inspite of the above limitations in using Information Technology for competitive advantages, firms have gained advantages such as flexible culture, strategic planning and improved supplier relationships. Advantage lies in people and systems rather than systems alone. To derive full competitive advantage of IT requires long-term investment.

Management Notes

Social Issues in Retailing in India

indiafreenotesby indiafreenotes0

Retailing in India, like in many other countries, is influenced by a variety of social issues that impact both the industry and consumers. These issues often reflect the broader social and cultural context of the country.

Addressing these social issues requires a holistic approach from retailers, encompassing ethical business practices, cultural sensitivity, and responsiveness to changing consumer dynamics. By aligning their strategies with the social fabric of India, retailers can build stronger connections with their customer base and contribute positively to society. This involves not only understanding the diverse needs of consumers but also actively participating in social initiatives that align with the values of the community.

  • Diversity and Cultural Sensitivity:

India is a diverse country with multiple languages, cultures, and traditions. Retailers need to be sensitive to this diversity in their marketing strategies, product offerings, and customer interactions. Cultural insensitivity can lead to backlash and negatively impact a brand’s image.

  • Consumer Behavior and Preferences:

Consumer preferences in India can vary significantly across regions and demographic segments. Retailers must stay attuned to evolving consumer trends, preferences, and purchasing behaviors to tailor their offerings and marketing strategies effectively.

  • Gender Sensitivity:

Gender plays a significant role in shaping consumer behavior. Retailers need to be aware of gender-related social issues and promote inclusivity in their marketing and advertising. Creating gender-neutral spaces and products can be essential for attracting a diverse customer base.

  • Economic Disparities:

India faces economic disparities, with a significant portion of the population belonging to lower-income segments. Retailers need to balance their product offerings to cater to diverse economic groups. Strategies like affordable pricing, value for money, and inclusive marketing are crucial.

  • Ethical Sourcing and Fair Trade:

There is an increasing awareness among Indian consumers about the ethical sourcing of products and fair trade practices. Retailers are under scrutiny to ensure that their supply chains adhere to ethical standards, and they are expected to be transparent about their sourcing practices.

  • Digital Divide:

While there is a growing trend of digitalization in urban areas, rural parts of India may still face challenges related to digital access and literacy. Retailers need to adopt strategies that cater to diverse digital maturity levels among consumers.

  • Changing Lifestyle and Aspirations:

India is experiencing a significant shift in lifestyle and aspirations, especially among the younger population. Retailers must keep pace with changing consumer expectations, including a demand for international brands, experiential shopping, and lifestyle products.

  • Health and Wellness Trends:

There is an increasing awareness of health and wellness in India, leading to a growing demand for organic, sustainable, and health-conscious products. Retailers need to adapt to these trends by offering healthier options and providing transparent information about product ingredients.

  • Social Media Influence:

Social media plays a substantial role in shaping consumer opinions and trends. Retailers need to have a robust social media strategy to engage with consumers, manage brand perception, and stay connected with the younger demographic.

  • Sustainability and Environmental Concerns:

Environmental consciousness is on the rise, and consumers are increasingly looking for sustainable and eco-friendly products. Retailers need to incorporate sustainable practices in their operations, such as reducing packaging waste and promoting environmentally friendly products.

  • Inclusivity and Accessibility:

Retail spaces and services need to be inclusive and accessible to people with disabilities. Ensuring that stores are wheelchair-friendly, providing assistance for visually impaired individuals, and offering inclusive product ranges are important considerations.

  • Rural-Urban Dynamics:

Retailers need to recognize the unique dynamics between rural and urban consumers. While urban consumers may seek convenience and a wide range of products, rural consumers may have different preferences and purchasing patterns.

Management Notes

Ethical Issues in Retailing in India

indiafreenotesby indiafreenotes2

Ethical issues in retailing are critical considerations that impact the relationships between businesses, consumers, and the broader society. Maintaining ethical standards is not only a legal requirement but also essential for building trust, ensuring fair practices, and sustaining a positive reputation.

Ethics in business have become an essential topic of discussion. In retailing, retailers want to earn maximum profit by providing satisfaction to their customers with ethical means. Some certain laws and regulations govern the retail sector.

Following these laws are important and beneficial for the organizations. In this article, you will learn about ethical behavior in the retail sector and its importance.

Ethics can be defined as the moral principles for the behavior of a person or an organization to conduct activities. Business ethics tell the difference between right and wrong activities. However, ethical conduct in business is not as simple as it seems. There are various complexities when It comes to ethical conduct.

Ethical order ensures a sense of order and justice in an organization. The concepts like Corporate Social Responsibility is introduced in the retailing sector. The CSR is related to the ethical expression to conduct business. Retailing is the end unit of the Supply chain.

Customers directly interact with retailers. Therefore, it is important that retailers act ethically as they impact the lives of many people. Ethical practices are not only moral responsibility of a retailer, but it has great importance for the retail business. Let us learn about them one by one.

Adopting an ethical approach in retailing is not only a legal obligation but also a strategic imperative. Ethical behavior builds trust with consumers, fosters a positive workplace culture, and contributes to the long-term sustainability and success of a retail business. By addressing these ethical issues, retailers can demonstrate a commitment to integrity, responsibility, and the well-being of both consumers and the broader community.

Fair Pricing and Transparency:

Deceptive pricing practices, hidden fees, and misleading discounts can erode consumer trust.

  • Ethical Approach: Retailers should ensure transparency in pricing, avoid misleading promotions, and provide clear information about product costs.

Product Quality and Safety:

Selling substandard or unsafe products can harm consumers and damage a retailer’s reputation.

  • Ethical Approach: Retailers must adhere to quality standards, conduct product testing, and promptly recall defective items.

Supply Chain Ethics:

Unethical practices within the supply chain, such as exploitation of labor, child labor, or environmental violations, can tarnish a retailer’s reputation.

  • Ethical Approach: Retailers should implement ethical sourcing policies, ensure fair labor practices, and promote sustainable and responsible supply chain management.

Employee Treatment and Fair Labor Practices:

Unfair wages, poor working conditions, and lack of employee benefits can lead to ethical concerns.

  • Ethical Approach: Retailers should prioritize fair wages, provide a safe and healthy work environment, and offer employee benefits to promote overall well-being.

Customer Privacy and Data Security:

Mishandling customer data, privacy breaches, and unauthorized use of personal information can lead to ethical violations.

  • Ethical Approach: Retailers must prioritize customer privacy, implement robust data security measures, and adhere to data protection laws.

Truth in Advertising:

False or misleading advertising can deceive consumers and harm a retailer’s credibility.

  • Ethical Approach: Retailers should ensure that advertising is truthful, accurate, and does not exaggerate product capabilities.

Inclusivity and Diversity:

Discrimination or lack of inclusivity in hiring practices or product representation can be ethically problematic.

  • Ethical Approach: Retailers should foster diversity and inclusion, both in their workforce and in the representation of various demographics in marketing and product offerings.

Environmental Sustainability:

Irresponsible environmental practices, such as excessive packaging or contributing to pollution, raise ethical concerns.

  • Ethical Approach: Retailers should adopt sustainable practices, reduce environmental impact, and promote eco-friendly products.

Social Responsibility:

Neglecting social responsibility, such as community engagement or charitable initiatives, can be viewed as ethically irresponsible.

  • Ethical Approach: Retailers should actively engage in socially responsible activities, supporting community initiatives and contributing to social causes.

Ethical Marketing:

Manipulative marketing tactics, such as false scarcity or exploiting emotional triggers, can be ethically questionable.

  • Ethical Approach: Retailers should prioritize honesty, integrity, and authenticity in marketing, avoiding manipulative practices.

Fair Competition:

Unfair business practices, such as price fixing or collusion, can harm competition and violate ethical standards.

  • Ethical Approach: Retailers should compete fairly, adhere to antitrust laws, and avoid engaging in anti-competitive behavior.

Product Endorsements and Reviews:

Deceptive product endorsements or fake reviews can mislead consumers.

  • Ethical Approach: Retailers should encourage genuine customer reviews, avoid deceptive endorsements, and maintain the integrity of product recommendations.

Importance of Ethics in Retail

  • Build a Positive Image in society

People who have not much knowledge about the business ethics and rules of business conduct usually prefer to associate with those organizations which have a positive image in society.

Take the example of an IT company Infosys. Infosys is known for its charitable work, good corporate governance, and social responsibility initiatives such as providing scholarship to deserving children and providing medical help to poor elderly people.

People, when learning all about this they built a positive perception about the company.

  1. Ethics helps in satisfying human needs

People, whether they are employee or customers, want to associate with an organization which works with honesty and in a fair manner.

Therefore, the following ethical practices are important if you want to retain customers as well as employees for a long period of time.

  1. Ethics plays an important role in decision making

In everyday life, retailers need to take important decisions for the well-being of the organization. If an organization believe in ethical practices, it tends to make decisions which are in favor of the organization, its employees as well as customers.

A retailer can take fierce decisions in the absence of ethical practices. For example, an organization which does not follow ethical practice can take fierce decisions to tackle competition.

  1. Bringing People together

Employees love and respect organization whose actions are influenced by ethical practices. The organization which practices ethics will never only think about its own but also think about its employees and customers. In this way, a healthy relationship establishes between employees and the owner.

A healthy relationship is important for the well-being of the organization. A happy employee will never betray his organization and consistently take actions to make his organization successful.

  1. Makes society a better place to live

Society will become a better place to live if everyone follows ethical practices. A society where everyone thinks about themselves and take selfish decisions is not a suitable place for people to live. There will always be contradictions between the people.

However, we know very well that no two people can be the same. There will always be people who will indulge in unethical practices. At that time, ethical laws come into action and restrict unethical practices.

  1. Long-term profits

Organizations which practices malice activities might get profit for short period of time, but can’t retain that success for longer period of time and, on the other hand, Organizations which are driven by values and ethics are expected to be profitable for a long time though they might lose money in a short time.

For example, the Tata group faced a great loss of business in the initial 1990s,’ but soon it turns into one of the most profitable organization by not indulging into unethical practices. The company is one of the most successful companies in India and also known for its ethical conduct in business.

In simple words, it can be said that ethics shows the path of right doing to the organization and let it make decisions which are both in favor of its employees as well as customers.

Management Notes

International Perspective in Retail Business

indiafreenotesby indiafreenotes2

Retail internationalization is the transfer of retail operations outside the home market. It involves the international transfer of retail concepts, management skills, technology and even the buying function.

International trade and commerce has existed for centuries and played a very important part in the World History. However International Retailing has been in existence and has gained ground in the past two to three decades. The economic boom in several countries, coupled with globalization have given way to Organizations looking at setting up retailing across borders. The advent of internet and multimedia has further changed the dimensions as far as International Retailing is concerned.

The international perspective in retail business involves understanding and navigating the complexities of operating in diverse global markets. Retailers expanding internationally must consider cultural nuances, regulatory environments, consumer behaviors, and economic conditions unique to each country.

The international perspective in retail business involves a nuanced understanding of diverse markets and the ability to adapt strategies to local conditions. Successful global retailers prioritize cultural sensitivity, comply with local regulations, and leverage technology to navigate the complexities of operating on a global scale. By combining a deep understanding of local markets with a strategic and flexible approach, retailers can establish a strong international presence and capitalize on global opportunities.

Factors involved in International Retailing

A careful examination of the definition for international retailing reveals certain concepts which are key to the process of international retailing. These include operations, concepts, management expertise, technology and buying.

  1. Operations

Retail internationalization is the expansion of a retailer’s operations into a foreign market. The store format may or may not be similar to that in the home market. Identical operations may well trade under a different brand than that operated in the domestic market. This decision is largely dependent upon the method of market entry. On the acquisition of a foreign retail operation, the new owner may retain the original brand if it is a respected brand.

For example, in 1999 Wal-Mart (the retail giant) bought UK grocery chain ASDA and retained the original ASDA brand. When a retailer enters a new market by franchise, it may transfer an established domestic brand. Sometimes, a new foreign brand is perceived as more fashionable than its competitors.

  1. Concepts

Retail concepts lay emphasis on innovations in the industry. The self service concept first emerged in California in 1912. Later, the concept was followed in a number of international markets in the next two decades. Similarly, the convenience store format which originated in USA in 1920s was taken up in Europe in the 1970s. Now, the focus in on globalization. The retail concept currently by operated by retailers may also become successful in a foreign market.

The internationalization of “the body shops” popularized the idea of environmentally sensitive products. The success of such concepts have been adopted by competitors spawning of similar retail offers in natural toiletries and cosmetics.

  1. Management expertise

The transfer of concepts is linked with the internationalization of management expertise. This encompassed the internationalization of skills and techniques used in the management of the business. Formation of alliances is an important means of transferring management functions. Retail alliances are prompted by operational synergies, buying economies of scale, increased retailer power over manufacturer, the development of retailer own labels and joint defense building against the market entry of foreign competitors.

International retail alliances are the direct outcome of growing globalization. Successful alliance management rests on close cooperation, communication, synergistic performance measures and an agreement to common objectives.

  1. Technology

Retailers who operate internationally require the use of technology advances. Use IT in central management of retail operations has improved its decision making in areas such as finance, personnel and logistics. Technologies such as EPOS (Electronic Point of Sale) are also used at operational levels of retail stores.

Generally, internationalization will employ relatively advanced technology. It is preferable for retailers to move into a market where they have a technological advantage. Technological advantage in turn, would confer a competitive advantage over indigenous retailers.

  1. Buying

The proportion of consumer expenditure on retail is considerably important. As the population becomes more wealthy a greater proportion of income is spent on non-essentials. Only a small percentage of total spend goes on food and clothing. A higher share of spending power is directed towards non-essentials such as holidays and leisure activities. In retail operations the function of buying is indeed sourcing. Sourcing has had the greatest impact in terms of internationalization.

Alliances are formed to attain efficiency and leverage in sourcing. International retailers use their collective influence with suppliers to reduce prices and improve quality. For example, the European alliance EMD has stated exerting the combined purchasing power of its members as its primary objective.

Reason for Internationalization of retailing

  1. Inadvertent internationalization

Inadvertent internationalization is due to political instability. Sometimes, changes in the demarcation of national borders take place. This may mean a retail company is operating in a different market although its stores have not physically moved. Changes in Eastern Europe are the examples of this kind. The US retailer KMart entered Czechoslovakia. Within a year it found itself operating in two district markets, the Czech and Slovak republics.

  1. Non-commercial reasons

Non-commercial reasons of political, personal, ethical or social responsibility have motivated retailers to move into foreign markets. For example, retailers foray into markets for reasons of social and environmental responsibility. Notably, the Body Shop’s “trade not aid” sourcing policy helped develop infrastructures in order to stabilize economics.

  1. Commercial objectives

It include entering the market which gives retailers competitive edge. Gaining important market knowledge before moving in on a larger scale learning about innovations may be other commercial objectives of retail internationalization.

  1. Government regulations

Government regulations influence the choice of market by retailers. It is not a prerequisite to internationalization. Retailers prefer the markets with fewer restrictions on their growth. Severe regulations at home push retailers into the international arena. Loi Royer in France severely restricted the development of large out of town stores. As a result the French hypermarkets turned to less restrictive markets to continue their expansion.

  1. Growth potential

Retailers seek the best growth potential possible. If they perceive profitable opportunities in overseas markets, they are likely to capitalize on them.

International Perspective in Retail Business

  1. Globalization and Market Expansion:

  • Market Entry Strategies:

Retailers may choose from various entry strategies, including franchising, joint ventures, acquisitions, or establishing wholly-owned subsidiaries, depending on the level of control desired and the nature of the market.

  • Global Supply Chains:

Managing global supply chains is crucial, involving coordination of sourcing, production, and distribution across different countries. Retailers often optimize supply chain efficiency to reduce costs and enhance flexibility.

  1. Cultural Sensitivity and Localization:

  • Understanding Cultural Differences:

Cultural factors significantly impact consumer preferences, shopping habits, and communication styles. Successful retailers adapt their strategies to align with local cultural norms and values.

  • Localization of Products and Services:

Retailers often tailor their product offerings and services to meet local tastes and preferences. This may involve adapting packaging, marketing messages, and even the assortment of products.

  1. Regulatory and Legal Considerations:

  • Compliance with Local Regulations:

International retailers must navigate diverse regulatory landscapes, including tax laws, employment regulations, and trade restrictions. Understanding and complying with local laws are critical for sustained success.

  • Trade Barriers and Tariffs:

Retailers need to be aware of trade barriers, tariffs, and import/export regulations that may impact the cost and availability of goods.

  1. Economic Conditions:

  • Currency Fluctuations:

Global retailers face exposure to currency fluctuations, which can impact pricing, profitability, and financial performance. Hedging strategies may be employed to manage currency risk.

  • Economic Stability:

Economic conditions in different countries influence consumer purchasing power and spending behavior. Retailers must be adaptable to economic fluctuations and tailor strategies accordingly.

  1. Technology and E-commerce:

  • E-commerce and Digital Platforms:

The growth of e-commerce enables retailers to reach international consumers without significant physical infrastructure. Online platforms provide opportunities for market entry and global reach.

  • Technology Adoption:

The adoption of technology varies globally. Retailers need to assess the digital maturity of each market and adapt their technology strategies accordingly.

  1. Competitive Landscape:

  • Local and Global Competition:

Retailers face competition from both local players and other international brands. Understanding the competitive landscape is crucial for market positioning and differentiation.

  • Partnerships and Collaborations:

Forming strategic partnerships with local businesses or entering collaborations with established players can facilitate market entry and enhance competitiveness.

  1. Consumer Behavior and Trends:

  • Diverse Consumer Behaviors:

Consumer preferences and behaviors differ across countries. Retailers must conduct thorough market research to understand local trends, shopping habits, and preferences.

  • Global Trend Impact:

Some consumer trends, such as sustainability and ethical consumption, have global resonance. Retailers can leverage such trends for consistent messaging across international markets.

  1. Social and Environmental Responsibility:

  • CSR and Sustainability:

Social and environmental responsibility are increasingly important globally. Retailers are expected to demonstrate commitment to sustainable and ethical practices, aligning with global expectations.

  1. Logistics and Distribution:

  • Efficient Distribution Networks:

Establishing efficient logistics and distribution networks is critical for timely and cost-effective delivery of products. Retailers often optimize distribution strategies based on the geography and infrastructure of each market.

  • Last-Mile Challenges:

Last-mile delivery challenges can vary significantly, and retailers must address them to provide a seamless customer experience.

  1. Adaptability and Agility:

  • Agile Business Models:

International retailers need to adopt agile business models to respond to changing market conditions, consumer preferences, and competitive landscapes.

  • Crisis Management:

Effective crisis management is essential for navigating unexpected challenges, such as geopolitical events, economic downturns, or public health crises.

Management Notes

Retail Theories

indiafreenotesby indiafreenotes1

Retail theories encompass a wide range of concepts and models that help explain the dynamics, strategies, and challenges within the retail industry. These theories are developed to provide insights into consumer behavior, market trends, and effective retail management.

Retail theories provide valuable frameworks for understanding and navigating the complex dynamics of the retail industry. From consumer behavior and store location to marketing strategies and the impact of technology, these theories guide retailers in making informed decisions and staying competitive in an ever-evolving marketplace. The retail landscape continues to transform, and the application of these theories allows retailers to adapt, innovate, and meet the evolving needs of consumers.

This session deals with the following theories namely:

  • Wheel of Retailing
  • Retail Accordian Theory
  • Theory of Natural Selection
  • Retail life cycle

  1. Wheel of Retailing

This theory talks about the structural changes in retailing. The theory was proposed by Malcomb McNair and according to this theory it describes how retail institutions change during their life cycle. In the first stage when new retail institutions start business they enter as low status, low price and low margin operations. As the retail firms achieve success they look in for increasing their customer base.

They begin to upgrade their stores, add merchandise and new services are introduced. Prices are increased and margins are raised to support the higher costs. New retailers enter the market place to fill the vacuum, while this continues to move ahead as a result of the success. A new format emerges when the store reaches the final stage of the life cycle. When the retail store started it started low but when markets grew their margins and price changed. The theory has been criticized because they do not advocate all the changes that happen in the retail sector and in the present scenario not all firms start low to enter the market

  1. Retail Accordian Theory

This theory describes how general stores move to specialized stores and then again become more of a general store. Hollander borrowed the analogy ‘accordian’ from the orchestra. He suggested that players either have open accordion representing the general stores or closed accordions representing narrow range of products focusing on specialized products. This theory was also known as the general-specific-general theory. The wheel of retailing and the accordion theory are known as the cyclical theories of retail revolution

  1. Theory of Natural selection

According to this theory retail stores evolve to meet change in the microenvironment. The retailers that successfully adapt to the technological, economic, demographic and political and legal changes are the ones who are more likely to grow and prosper. This theory is considered as a better one to wheel of retailing because it talks about the macro environmental variables as well, but the drawback of this theory is that if fails to address the issues of customer taste, expectations and desires

  1. Retail Life cycle

Like products, brands retail organizations pass through identifiable stages of innovation, accelerated development, maturity and decline. This is commonly known as the retail life cycle. Any organization when in the innovation stage is nascent and has few competitors. They try to create a distinctive advantage to the final customers. Since the concepts are new at this stage organizations try to grow rapidly and the management tries to experiment. Profits will be moderate and the stage may last for a couple of years. When we talk about our country e-buying or online shopping is in the innovation stage.

In the accelerated growth phase the organizations face rapid increase in sales, competitors begin to emerge and the organizations begin to use leadership and their presence as a tool in stabilizing their position. The investment level will be high as there are others who will be creating a lot of competition. This level may go up to eight years. Hypermarkets, Dollar stores are in this stage. In the maturity stage as competition intensifies newer forms of retailing begin to emerge, the growth rate starts to decline. At this stage firms should start work on strategies and reposition techniques to be in the market place. Supermarkets, cooperative stores are in this stage. In the final stage of the retail life cycle is the declining phase where firms begin to loose their competitive advantage. Profitability starts to decline further and the overheads starts to rise. Thus we see that organizations needs to adopt different strategies at each level in order to sustain in the marketplace.

  1. Consumer Behavior Theories:

  • Wheel of Retailing:

The Wheel of Retailing theory, proposed by Malcolm P. McNair in the 1950s, suggests that retail firms evolve through predictable stages. Retailers initially enter the market with low-status, low-margin operations and gradually add services and amenities as they succeed. Over time, this process may lead to higher prices and increased competition, eventually prompting the entry of new low-status retailers. The cycle continues.

  • Retail Life Cycle:

Building on the Wheel of Retailing, the Retail Life Cycle theory posits that retail formats go through distinct life stages, including introduction, growth, maturity, and decline. Each stage is associated with specific challenges and opportunities. Understanding the life cycle helps retailers adapt strategies based on their position in the market.

  • Customer Decision-Making Process:

The Consumer Decision-Making Process theory outlines the steps consumers go through when making purchasing decisions. These steps include problem recognition, information search, evaluation of alternatives, purchase decision, and post-purchase evaluation. Retailers use this theory to tailor marketing strategies to influence consumers at each stage.

  1. Store Location Theories:

  • Central Place Theory:

The Central Place Theory, developed by Walter Christaller, explores the optimal spatial arrangement of retail centers within a geographic area. It posits that consumers will travel to the nearest central place (retail center) to fulfill their shopping needs. Larger retail centers offering a broader range of goods and services are located less frequently but serve a larger population.

  • Huff’s Gravity Model:

The Huff’s Gravity Model predicts the probability of a consumer choosing a particular store based on its attractiveness (size, offerings) and distance. This model is valuable for retailers in understanding consumer behavior related to store choice and optimizing their location strategies.

  1. Retail Marketing Theories:

  • Retail Mix:

The Retail Mix theory, also known as the 6 Ps of retailing (Product, Price, Place, Promotion, Presentation, and Personnel), emphasizes the interconnected elements that retailers must consider when creating a marketing strategy. Balancing these elements is essential for a cohesive and effective retail marketing approach.

  • STP Marketing:

STP stands for Segmentation, Targeting, and Positioning. In retail, this theory involves identifying market segments, selecting target segments that align with the retailer’s strengths, and positioning the store to meet the specific needs and preferences of those target customers.

  • Retail Atmospherics:

Retail Atmospherics theory explores how the physical environment of a store, including lighting, colors, scents, and layout, affects consumer perceptions and behavior. Creating a pleasant and engaging atmosphere enhances the overall shopping experience and influences purchasing decisions.

  1. Retail Evolution Theories:

  • Wheel of Retailing Evolution:

The Wheel of Retailing Evolution theory builds on the Wheel of Retailing, proposing that retailers evolve through stages of innovation, growth, maturity, and decline. New retailers often introduce innovative formats, challenging existing structures and leading to a continuous cycle of evolution in the retail industry.

  • Retail Life Cycle Evolution:

Similar to the Retail Life Cycle, this theory suggests that retail formats evolve through stages of introduction, growth, maturity, and decline. The evolution may involve changes in format, strategies, and consumer offerings to adapt to market conditions and competition.

  1. Technology and Omnichannel Retailing Theories:

  • Technology Adoption Curve:

The Technology Adoption Curve, developed by Everett Rogers, categorizes consumers into innovators, early adopters, early majority, late majority, and laggards based on their readiness to adopt new technologies. Retailers use this theory to guide their adoption of technology and innovation strategies.

  • Omnichannel Retailing:

Omnichannel Retailing theory emphasizes the integration of various channels (online, offline, mobile, etc.) to provide a seamless and unified shopping experience for consumers. It recognizes that consumers may engage with retailers through multiple channels and aims to create a cohesive brand experience across all touchpoints.

  1. Retail Strategy Theories:

  • Porter’s Generic Strategies:

Developed by Michael Porter, this theory outlines three generic strategies for competitive advantage: cost leadership, differentiation, and focus. Retailers can pursue one of these strategies to position themselves in the market and gain a competitive edge.

  • Wheel of Retailing Strategy:

The Wheel of Retailing Strategy theory suggests that retailers should strategically choose their positioning within the Wheel’s evolution stages. For example, a retailer may opt for a low-cost strategy as a low-status entrant or differentiate through innovation as a higher-status player.

  1. Sustainability in Retailing:

  • Green Retailing:

With a growing emphasis on sustainability, Green Retailing theory focuses on environmentally friendly retail practices. This includes sustainable sourcing, energy-efficient operations, waste reduction, and efforts to appeal to environmentally conscious consumers.

  • Circular Economy in Retailing:

The Circular Economy theory promotes a regenerative approach where products, materials, and resources are kept in use for as long as possible. Retailers adopting circular economy principles aim to reduce waste, recycle materials, and create more sustainable product life cycles.

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