Tag: Research Design

Research Problem is a clear, specific, and well-defined issue or gap in existing knowledge that a researcher aims to investigate and resolve through systematic inquiry. It represents a perplexing situation, a business challenge, or an unanswered question that demands evidence-based solutions. In business research, problems may stem from declining sales, operational inefficiencies, customer dissatisfaction, or competitive pressures. The research problem forms the foundation of the entire study, as it determines the objectives, methodology, and scope of investigation. A well-articulated problem statement ensures focus, prevents aimless data collection, and guides the researcher toward meaningful, actionable conclusions that address real organizational concerns.

Components of Research Problem:

1. The Researcher (Subject)

Every research problem must involve an individual, organization, or entity facing a decision-making difficulty that needs resolution through research. This is the party who experiences the problem and initiates the investigation to find a solution. The researcher’s context, resources, and constraints shape how the problem is approached and studied. For example, a retail company facing declining sales is the subject experiencing the problem, prompting market research to identify causes. Whether it’s an Indian SME or a multinational corporation, identifying the concerned party clearly is the first step, as it defines whose perspective and interests the research must ultimately serve.

2. The Objective

A research problem must have a clearly defined objective—what the researcher intends to achieve or discover through the investigation. Objectives give direction to the entire research process, guiding data collection, analysis, and interpretation. Without a specific objective, research becomes unfocused and inconclusive. For instance, a company’s objective might be to determine why customer retention rates are falling or to identify the most effective marketing channel. Clear objectives, whether set by Indian startups or global enterprises, allow researchers to design appropriate methodologies and measure success. Well-articulated objectives also help stakeholders evaluate whether the research has successfully addressed the original problem.

3. Alternative Courses of Action

A genuine research problem exists only when there are multiple possible courses of action or solutions available to address the situation. If only one option exists, there is no real problem requiring research—simply implementation. Research helps evaluate and compare these alternatives to determine the most effective path forward. For example, a company deciding how to boost sales might consider alternatives like discounting, advertising, or product innovation. Research then assesses which alternative yields the best outcome. This applies universally, whether an Indian manufacturer is choosing between expansion strategies or a global firm is selecting between market entry approaches.

4. Doubt or Uncertainty (The Problem Itself)

At the core of every research problem lies genuine doubt or uncertainty in the researcher’s mind regarding which alternative course of action will best achieve the desired objective. This uncertainty is what necessitates systematic investigation rather than relying on guesswork or intuition. Without doubt, there would be no need for research. For example, a business unsure whether online or offline advertising will yield better returns faces genuine uncertainty requiring data-driven investigation. This element of doubt, common to research conducted by Indian firms and global corporations alike, transforms a simple decision into a formal research problem worthy of systematic study and analysis.

5. Environment or Context

Every research problem exists within a specific environment or set of conditions—social, economic, technological, geographical, or organizational—that influences the problem and its potential solutions. Understanding this context is essential, as the same problem may require different approaches depending on the surrounding circumstances. For instance, consumer behavior research in urban India may differ significantly from that in rural markets or international settings due to varying cultural, economic, and infrastructural factors. Researchers must account for these environmental conditions when designing studies and interpreting results. Recognizing the relevant environment ensures that research findings remain contextually accurate, relevant, and applicable to the specific setting being studied.

Sources of Research Problem:

1. Theoretical Framework/Existing Theories

Research problems often emerge from gaps, inconsistencies, or unanswered questions within existing theories and academic literature. Researchers study established theories to identify areas where empirical evidence is lacking or where theoretical predictions haven’t been fully tested in real-world business contexts. Reviewing prior studies helps identify unexplored variables or relationships worth investigating further. For example, a researcher studying consumer behavior theories might notice inadequate exploration of digital purchasing patterns in emerging markets like India. This source of research problems is widely used by academic institutions and corporate R&D departments globally, as it builds systematically on accumulated knowledge, advancing both theoretical understanding and practical business applications.

2. Personal Experience and Observation

Researchers often identify problems through direct personal experience or observation of business operations, market conditions, or organizational challenges encountered in daily professional life. Practical exposure to inefficiencies, customer complaints, or operational bottlenecks can spark research questions aimed at finding solutions. For instance, a manager noticing declining employee morale firsthand might initiate research into workplace satisfaction factors. This experiential source is particularly valuable because it grounds research in real, tangible business challenges rather than abstract theory. Entrepreneurs and professionals across India and globally frequently derive research problems this way, as hands-on observation often reveals practical issues that formal literature reviews might overlook entirely.

3. Existing Literature and Previous Research

Reviewing published research papers, journals, industry reports, and case studies often reveals unresolved questions, contradictory findings, or areas suggested for further investigation by previous researchers. Academic papers frequently conclude with recommendations for future research, offering direct sources of new research problems. Researchers build upon this accumulated knowledge to refine, extend, or challenge previous findings. For example, a researcher might find conflicting studies on remote work productivity and decide to investigate this further within the Indian corporate context. This source ensures research remains connected to the broader academic and professional discourse, contributing meaningfully to existing knowledge, whether in India or international research communities.

4. Social and Economic Issues

Broader social and economic trends—such as changing consumer lifestyles, economic downturns, unemployment, inflation, or shifting demographics—often give rise to significant research problems relevant to businesses. These macro-level issues create new challenges and opportunities that organizations must understand and address. For example, rising inflation might prompt research into consumer spending pattern changes, or increasing urbanization in India might spark research into evolving retail preferences. Such problems are inherently practical and time-sensitive, requiring businesses to adapt quickly. Researchers monitoring social and economic developments, both domestically and internationally, can proactively identify emerging research problems before they become critical business challenges requiring urgent solutions.

5. Discussions with Experts and Practitioners

Engaging in conversations with industry experts, consultants, academicians, or experienced practitioners often surfaces valuable research problems that may not be apparent through literature alone. Experts bring practical insights, emerging concerns, and nuanced understanding of industry-specific challenges based on years of hands-on experience. For instance, discussions with retail industry veterans might reveal unaddressed challenges in supply chain management within India’s evolving e-commerce landscape. Such expert consultations help researchers identify relevant, timely, and practically significant problems. This source is particularly valuable in business research, as it bridges the gap between academic theory and real-world application, ensuring research remains grounded in genuine, current industry needs.

6. Government Policies and Regulatory Changes

Changes in government policies, regulations, tax structures, or trade agreements often create new research problems as businesses seek to understand implications and adapt strategies accordingly. Regulatory shifts can significantly impact operations, compliance requirements, and market dynamics, prompting organizations to investigate potential effects. For example, the implementation of GST in India prompted extensive research into its impact on small businesses and pricing strategies. Similarly, international trade policy changes might necessitate research into supply chain restructuring for global companies. This source of research problems is particularly relevant for businesses navigating complex regulatory environments, requiring continuous monitoring of policy developments to identify emerging research needs and challenges.

7. Technological Advancements and Innovation

Rapid technological changes, such as automation, artificial intelligence, or digital transformation, continuously create new research problems as businesses grapple with adoption, implementation, and impact assessment challenges. Emerging technologies often outpace existing knowledge, creating gaps that require systematic investigation. For example, the rise of AI-driven customer service tools has prompted research into their effectiveness compared to human interaction, both in Indian and global markets. Similarly, businesses researching blockchain applications in supply chain management address genuinely new, unexplored territory. This source is increasingly significant in today’s fast-evolving business landscape, as organizations must continuously research technological implications to remain competitive and make informed adoption decisions.

Steps of Research Problem Formulation:

1. Identify the Broad Research Area

The first step is to identify a broad area of interest related to the subject or field of study. The researcher may select an area based on personal interest, professional experience, existing literature, social issues or practical business problems. For example, employee turnover, consumer behaviour, digital marketing or workplace satisfaction can be broad research areas. At this stage, the topic does not need to be highly specific. The researcher should consider whether sufficient information and data are available for studying the selected area. A clearly identified research area provides the initial direction and helps the researcher proceed towards developing a specific research problem.

2. Review Existing Literature

After selecting a broad research area, the researcher reviews existing literature related to the topic. Literature may include research papers, books, reports, journals, dissertations and reliable online sources. The purpose is to understand what has already been studied and what findings have been established. The review may reveal gaps, contradictions, unanswered questions or areas requiring further investigation. For example, previous studies may have examined employee satisfaction but paid limited attention to remote working conditions. A proper literature review prevents unnecessary duplication and provides a strong foundation for developing the research problem. It also helps the researcher understand important concepts and variables.

3. Identify the Research Gap

A research gap refers to an area where existing knowledge is incomplete, limited, outdated or contradictory. Identifying the research gap is an important step because it provides a reason for conducting a new study. The researcher carefully examines previous studies to determine what questions remain unanswered or what aspects require further investigation. For example, several studies may examine online shopping behaviour among urban consumers while limited research exists on smaller cities. The researcher can use this gap to develop a relevant research problem. A clearly identified research gap ensures that the study contributes something meaningful to existing knowledge.

4. Define the Research Problem

Once the research gap is identified, the researcher clearly defines the specific problem that needs investigation. The problem should be precise, understandable and researchable. It should identify the main issue, population or context being studied and, where appropriate, the important variables involved. For example, instead of studying “employee satisfaction,” the researcher may define the problem as “factors affecting employee satisfaction among employees working in private banks.” A well defined research problem gives the study a clear direction and prevents unnecessary collection of information. It also helps determine suitable research objectives, questions, hypotheses and methods.

5. Assess the Feasibility of the Problem

The researcher must determine whether the selected research problem can realistically be studied. Feasibility involves considering the availability of data, time, financial resources, research skills, respondents and other necessary resources. Ethical considerations should also be examined. A research problem may be academically interesting but difficult to investigate because reliable data are unavailable or the required population cannot be accessed. For example, a researcher with limited time may not be able to conduct a study covering respondents across an entire country. Therefore, assessing feasibility helps the researcher select a practical problem that can be completed successfully within available resources.

6. Define the Scope of the Study

The scope determines the boundaries of the research problem and specifies what will and will not be covered in the study. It may define the geographical area, target population, time period, variables, industry or organisation under investigation. Clearly defining the scope prevents the research from becoming too broad and difficult to manage. For example, instead of studying customer satisfaction across all online shoppers in India, the researcher may focus on online shoppers in Mumbai during a particular period. A clearly defined scope helps maintain focus and ensures that the research objectives, data collection and analysis remain aligned with the research problem.

7. Formulate Research Questions

Research questions are specific questions developed from the research problem. They guide the researcher in determining what information needs to be collected and analysed. Good research questions should be clear, focused, relevant and capable of being answered through systematic investigation. For example, a study on employee turnover may ask, “What factors influence employee turnover in private organisations?” and “Does job satisfaction affect employees’ intention to leave?” Research questions help establish the direction of the study and determine appropriate research methods. They also provide a basis for developing hypotheses where required. Therefore, properly formulated research questions make the research process more organised and focused.

8. Develop Research Objectives

Research objectives state what the researcher intends to achieve through the study. They are developed directly from the research problem and research questions. Objectives should be specific, clear and achievable within the available resources. They may involve describing a situation, identifying factors, examining relationships, comparing groups or evaluating outcomes. For example, objectives may include identifying factors affecting employee turnover and examining the relationship between job satisfaction and turnover intention. Clear objectives guide the researcher throughout the study and help determine the data required. They also provide a basis for evaluating whether the research has successfully addressed the original research problem.

9. Develop Hypotheses Where Required

Where the research requires testing relationships between variables, the researcher develops suitable hypotheses. A hypothesis is a tentative and testable statement about an expected relationship between variables. It is generally developed from theories, previous research and logical reasoning. For example, “Employee satisfaction has a significant relationship with employee retention” may be proposed as a hypothesis. Not every research study requires hypotheses, particularly some exploratory or qualitative studies. When used, hypotheses provide direction for data collection and statistical analysis. They also help the researcher determine whether the evidence supports or contradicts the expected relationship identified in the research problem.

10. Finalise the Research Problem Statement

The final step is to prepare a clear and concise research problem statement based on the information gathered during the earlier steps. The statement should communicate the central issue, relevant context, research gap and purpose of investigation. It should be neither too broad nor too narrow. A well formulated problem statement provides the foundation for the entire research study. It connects the research problem with the research objectives, questions, hypotheses, methodology and analysis. Before finalising it, the researcher should check its relevance, clarity, feasibility and researchability. A strong problem statement ensures that the research remains focused and logically organised throughout the study.

Characteristics of a Good Research Problem:

1. Clarity and Unambiguity

A good research problem must be stated clearly and precisely, leaving no room for ambiguity or multiple interpretations. The language used should be simple, direct, and specific, avoiding vague terms like “improve” or “understand” without context. For instance, instead of saying “study employee performance,” a clear problem would be “identify factors affecting productivity among call center agents.” Clarity ensures that all stakeholders—researchers, supervisors, and decision-makers—share the same understanding of what is being investigated, thereby reducing confusion during data collection, analysis, and interpretation stages.

2. Significance and Relevance

The problem must address a genuine business concern or fill a noticeable gap in existing knowledge. It should have practical utility, meaning its solution can improve decision-making, enhance profitability, reduce costs, or solve operational challenges. For example, researching “why online cart abandonment is rising” holds significance for e-commerce firms. A trivial or outdated problem wastes resources and yields little value. Significance also implies timeliness—the problem should be current and pressing, ensuring that findings remain applicable and actionable for organizations operating in dynamic market environments.

3. Feasibility and Practicality

A good research problem must be researchable within the available constraints of time, budget, expertise, and access to data. The researcher should realistically be able to collect adequate information, apply appropriate methods, and complete the study within stipulated deadlines. For instance, studying “global consumer behavior” may be infeasible for a small firm due to cost and logistics. Feasibility also considers ethical approvals, organizational permissions, and respondent availability, ensuring that the study does not become stalled by impractical demands or unavailable resources.

4. Novelty and Originality

The problem should offer something new—either by exploring an unexplored area, revisiting an old issue with fresh perspectives, or applying existing theories to new contexts. Replicating well-established studies without justification adds little academic or practical value. For example, investigating “AI adoption in rural retail” brings novelty compared to generic technology acceptance studies. Originality does not necessarily mean discovering something entirely new; it can also mean providing contemporary insights, comparing cross-cultural differences, or challenging prevailing assumptions with updated data and analytical rigor.

5. Ethical Acceptability

A research problem must comply with ethical standards, ensuring that no harm—physical, psychological, social, or financial—comes to participants, organizations, or communities involved. Issues like invading privacy, manipulating respondents, or revealing confidential business information render the problem unethical. For instance, studying employee behavior through covert surveillance violates consent norms. Ethical acceptability also involves transparency about objectives, voluntary participation, informed consent, and data protection. A problem that cannot be investigated ethically must be reformulated or abandoned, as ethical integrity is non-negotiable in credible business research.

6. Measurability and Testability

The problem must lend itself to empirical investigation, meaning its variables can be observed, measured, and analyzed using valid and reliable instruments. Abstract constructs like “employee happiness” or “brand love” must be operationalized into measurable indicators (e.g., satisfaction scores, Net Promoter Score). For example, a problem stating “measure impact of training on performance” is testable because both training hours and output metrics are quantifiable. Measurability ensures objectivity, enables hypothesis testing, and allows findings to be verified or challenged by other researchers in future studies.

7. Grounded in Theory

A strong research problem emerges from or contributes to existing theoretical frameworks rather than being purely speculative. It should have a conceptual foundation that explains why the problem exists and how variables relate to one another. For instance, studying “social media engagement” is stronger when linked to Uses and Gratifications Theory or Elaboration Likelihood Model. Theoretical grounding provides direction for hypothesis formulation, guides methodology selection, and enhances the credibility of conclusions by placing them within established academic discourse, thereby enriching both knowledge and practice.

8. Manageable Scope

The problem should neither be too broad nor too narrow. Overly broad problems (e.g., “study global marketing”) become unwieldy and lack focus, while overly narrow ones (e.g., “study satisfaction of three employees”) yield limited generalizability. A manageable scope ensures depth without compromising breadth. For example, “analyze factors affecting purchase decisions among urban millennials for skincare products” strikes a balance. Proper delimitation—specifying geographical boundaries, target populations, time frames, and specific variables—keeps the study focused, achievable, and meaningful within practical constraints.

Types of Research Problems:

1. Descriptive Research Problem

A descriptive research problem focuses on describing the characteristics, conditions or behaviour of a particular group, situation or phenomenon. It mainly answers questions such as what, who, where, when and how much. The researcher collects information through surveys, interviews, observations or existing records. For example, a study may examine the level of customer satisfaction among users of online banking services. Descriptive research does not primarily explain why a situation exists. Instead, it provides a clear picture of the existing conditions. It is useful for studying customer preferences, employee attitudes, market characteristics, social conditions and demographic patterns. Thus, descriptive research problems help researchers understand and document existing situations systematically.

2. Exploratory Research Problem

An exploratory research problem arises when a researcher has limited knowledge about a particular issue or phenomenon. Its main purpose is to explore the problem, develop understanding and identify important factors for further investigation. The researcher may use interviews, focus groups, observations, case studies and literature reviews. For example, a researcher may explore why consumers are increasingly using digital payment applications. Exploratory research is generally flexible and may not begin with a clearly defined hypothesis. It helps identify research variables, develop research questions and generate possible explanations. This type of research problem is particularly useful when the issue is new, unclear or insufficiently studied.

3. Explanatory Research Problem

An explanatory research problem focuses on explaining why a particular phenomenon occurs and how different factors are related. Unlike descriptive research, it goes beyond describing a situation and attempts to understand the reasons behind it. Researchers may examine relationships between independent and dependent variables using hypotheses and statistical methods. For example, a researcher may investigate whether employee training improves employee performance and understand the factors influencing this relationship. Explanatory research is often based on existing theories and previous research findings. It helps identify possible causes, effects and relationships between variables. Therefore, explanatory research problems provide deeper understanding of social, economic and business phenomena.

4. Comparative Research Problem

A comparative research problem involves studying similarities and differences between two or more groups, organisations, situations or time periods. The researcher compares selected characteristics to understand variations and identify factors responsible for them. For example, a study may compare job satisfaction between public sector and private sector employees. Researchers may compare income, attitudes, behaviour, performance, working conditions or consumer preferences. Comparative research can use quantitative or qualitative methods depending on the research objectives. It helps researchers understand how different groups respond to similar situations. Therefore, comparative research problems are useful for identifying differences, similarities and patterns across groups, organisations, regions or periods.

5. Evaluative Research Problem

An evaluative research problem focuses on assessing the effectiveness, efficiency, usefulness or impact of a programme, policy, project or business activity. It determines whether the intended objectives have been achieved and whether improvements are required. For example, a researcher may evaluate the effectiveness of an employee training programme by comparing employee performance before and after training. Data may be collected through surveys, interviews, observations and organisational records. Evaluation research is useful for businesses, government institutions and non profit organisations when deciding whether to continue, modify or discontinue a programme. Thus, evaluative research problems provide evidence about actual outcomes and support better planning and decision making.

6. Predictive Research Problem

A predictive research problem focuses on forecasting future events, behaviour or outcomes using existing information and relationships between variables. The purpose is to estimate what is likely to happen under particular conditions. For example, a business researcher may analyse previous sales and customer purchasing patterns to predict future product demand. Predictive research often uses historical data, statistical techniques and analytical models. It can help organisations forecast sales, employee turnover, customer behaviour and market trends. Although predictions cannot always be completely accurate, they provide useful estimates based on available evidence. Therefore, predictive research problems support business planning, risk management, resource allocation and strategic decision making.

7. Correlational Research Problem

A correlational research problem examines whether two or more variables are related and determines the strength and direction of their relationship. It helps researchers understand whether changes in one variable are associated with changes in another variable. For example, a researcher may study the relationship between employee motivation and job performance. The relationship may be positive, negative or absent. However, correlation does not necessarily mean that one variable causes changes in another. Statistical techniques are commonly used to measure the relationship between variables. Correlational research problems are useful in social science because they help identify meaningful relationships that can be investigated further through explanatory or causal research.

8. Causal Research Problem

A causal research problem investigates whether a change in one variable produces a change in another variable. It focuses specifically on cause and effect relationships. For example, a researcher may examine whether employee training causes an improvement in employee productivity. Causal research generally requires a carefully designed study in which other factors are controlled or considered. Experiments and quasi experimental methods are commonly used to investigate causal relationships. Establishing causality in social science can be difficult because human behaviour is influenced by several factors simultaneously. Nevertheless, causal research provides valuable evidence about the effects of policies, programmes, strategies and interventions on particular outcomes.

9. Diagnostic Research Problem

A diagnostic research problem aims to identify the causes or reasons behind a particular problem or undesirable situation. It goes beyond identifying that a problem exists and attempts to determine the factors responsible for it. For example, a business may investigate the reasons for declining employee productivity or increasing customer complaints. Researchers may collect information through interviews, surveys, observations and organisational records. Diagnostic research helps managers understand the underlying causes of problems and develop suitable solutions. It is particularly useful in business and social research where identifying the root cause is necessary for effective action. Thus, diagnostic research supports problem solving and corrective decision making.

10. Action Research Problem

An action research problem focuses on solving a practical problem while simultaneously generating useful knowledge. It is commonly conducted by professionals within their own organisations or work environments. The researcher identifies a problem, plans an intervention, implements it, observes the results and evaluates the outcome. For example, a teacher may investigate whether a new teaching method improves student participation and modify the method based on findings. Action research is generally practical, participative and continuous. It is useful in education, business, healthcare and community development. Thus, action research connects research with practical action and helps improve existing practices, processes and outcomes.

Common Difficulties in Selecting a Research Problem:

1. Lack of Clarity

Researchers often face difficulty in clearly identifying what exactly they want to study. A broad area may contain several related issues, making it difficult to select one specific problem. For example, “employee performance” may involve motivation, training, compensation, leadership and working conditions. Without sufficient clarity, the research problem may become too broad or confusing. The researcher should carefully examine the subject, existing literature and practical issues before finalising the problem. A clearly defined problem helps establish research objectives, questions and methodology. Therefore, lack of clarity can affect the overall direction and effectiveness of the research study.

2. Lack of Adequate Knowledge

A researcher may have insufficient knowledge about the selected subject or research area. This can make it difficult to identify important issues, variables and research gaps. Without adequate background knowledge, the researcher may select a problem that has already been extensively studied or may overlook significant aspects of the topic. Reading textbooks, research papers, journals and previous studies can improve understanding of the subject. Discussions with teachers, experts and experienced researchers can also provide useful guidance. Therefore, developing sufficient knowledge before selecting the research problem is important for ensuring that the selected problem is relevant, meaningful and researchable.

3. Difficulty in Identifying Research Gaps

Identifying a genuine research gap can be challenging, particularly for students and inexperienced researchers. Existing literature may contain numerous studies, making it difficult to determine what remains unexplored. A researcher needs to compare previous findings, methods, populations, locations and time periods to identify limitations or unanswered questions. Sometimes, different studies may produce contradictory findings, which can also provide an opportunity for further research. A detailed and systematic literature review is therefore necessary. Failure to identify a meaningful gap may result in unnecessary duplication of previous research. Thus, recognising the research gap is an important but difficult part of problem selection.

4. Limited Availability of Data

Availability of reliable and relevant data is an important consideration when selecting a research problem. Some research problems require information that may be confidential, difficult to access or unavailable to the researcher. For example, financial information of private companies or personal information about employees may not be easily obtained. Secondary data may also be outdated, incomplete or unsuitable for the research purpose. If adequate data cannot be collected, the research problem may not be practically feasible. Therefore, researchers should assess the availability, quality and accessibility of required data before finalising the research problem.

5. Time Constraints

Limited time can make it difficult to select a research problem that can be completed properly. Some research problems require extensive data collection, large samples, long observation periods or detailed analysis. Students may have limited time because of academic deadlines and other responsibilities. Selecting an overly broad problem may result in incomplete research or poor quality findings. Therefore, the researcher should consider the time available before finalising the problem. A focused and manageable research problem is generally more suitable. Proper planning and realistic time estimation help ensure that the research can be completed within the required period.

6. Financial Constraints

Financial limitations can restrict the type and scope of a research study. Some research problems require travel, data collection, surveys, specialised software, expert assistance or access to paid research resources. A researcher with limited funds may not be able to conduct such studies effectively. For example, conducting a nationwide survey may require significant financial resources compared with a study limited to one city. Therefore, the cost involved in collecting and analysing data should be considered before selecting the research problem. Choosing a problem that matches available financial resources makes the study more practical and reduces the risk of incomplete research.

7. Lack of Research Skills

Inexperienced researchers may find it difficult to select a problem because they are unfamiliar with research methods, data collection techniques and statistical analysis. A problem may appear interesting but require advanced methods that the researcher cannot effectively apply. For example, a study involving complex statistical modelling may be unsuitable for a researcher with limited statistical knowledge. Researchers should therefore consider their methodological skills before selecting a problem. Guidance from teachers, research supervisors and experienced researchers can be helpful. Developing basic research skills enables researchers to choose problems that are academically meaningful while remaining manageable with their available knowledge and capabilities.

8. Problem of Scope

A research problem may become difficult to manage when its scope is either too broad or too narrow. A broad problem may involve too many variables, populations, locations or issues, making data collection and analysis difficult. On the other hand, an excessively narrow problem may not provide sufficient information or meaningful findings. For example, studying “consumer behaviour” is too broad, while focusing on one very specific behaviour among a very small group may be too narrow. Researchers should clearly define the population, location, variables and time period. A balanced scope helps maintain focus while allowing meaningful conclusions.

9. Personal Bias and Interest

Personal interests, beliefs or experiences can influence the selection of a research problem. While personal interest can motivate a researcher, excessive bias may result in selecting a problem without considering its academic relevance or practical feasibility. Researchers may also prefer problems that support their existing opinions. This can affect objectivity and the quality of the study. Therefore, personal interest should be balanced with evidence from existing literature, research gaps and practical requirements. The selected problem should be approached objectively and scientifically. Maintaining neutrality helps researchers produce reliable findings rather than selecting a problem simply because it matches their personal views.

10. Ethical Issues

Some research problems may involve ethical concerns related to privacy, confidentiality, consent, personal information or potential harm to participants. For example, research involving employees, children or sensitive personal information requires careful ethical consideration. A researcher may not be able to collect certain information without proper permission or informed consent. Ethical restrictions can therefore affect the feasibility and design of a research problem. Before selecting a problem, researchers should consider whether the study can be conducted without violating participants’ rights or causing unnecessary harm. Ethical research ensures responsible conduct and increases the credibility and acceptability of the research findings.