Exploring Different Types of Business Research

Every business decision – from launching a new crop variety to expanding into a new market – is ideally backed by research. But not all research works the same way. Some research seeks to expand what we know, while other research digs into a specific problem looking for a solution. In agribusiness especially, choosing the right type of research can mean the difference between a well-timed market entry and a costly miscalculation. Understanding the different types of business research helps managers, analysts, and agripreneurs ask better questions – and find more reliable answers.

What is business research? 🔗

Business research is a systematic and objective process of collecting and analyzing data to help organizations make informed decisions. It helps reduce uncertainty, identify opportunities, improve operations, and address challenges. The type of research you choose depends on what you need to know – whether that’s a broad understanding of a phenomenon, a solution to a specific operational problem, or a forecast of future market conditions.

At the broadest level, business research is divided into two main categories: basic research and applied research. All other types generally fall under or alongside these two. Let’s break each type down clearly.

Basic research: building the knowledge base 🔗

Basic research, also called pure or fundamental research, is concerned with expanding knowledge and understanding – not with solving an immediate practical problem. It aims to develop or refine theories and principles. In a business context, this might involve studying the general principles of consumer behavior, the dynamics of agricultural commodity pricing, or the theoretical relationship between corporate governance and financial performance.

Basic research is general in nature, often conducted independently of any specific organization, and its findings may not have immediate commercial application. However, it forms the foundation upon which applied research is built. As noted in research methodology literature, basic research is driven by the desire to uncover fundamental principles – it is the bedrock upon which applied research builds.

Applied research: solving real problems 🔗

Applied research is practical, problem-oriented, and action-focused. It is conducted when an important decision needs to be made about a specific real-world problem. Unlike basic research, applied research has a direct impact on strategy and operations. It aims to find a solution for an immediate problem facing a society or a business organization.

In agribusiness, applied research is extremely common. For example, a food processing company experiencing rising rejection rates in its supply chain might commission research to identify quality control failures. A seed company might conduct applied research to understand why adoption of a new hybrid variety is low among smallholder farmers. Applied research is solution-oriented, seeking practical answers that can be immediately acted upon.

Futuristic research: studying possible future conditions 🔗

Futuristic research focuses on exploring and studying possible future conditions, trends, and scenarios relevant to a business or industry. Rather than analyzing what is happening now, it asks: what could happen next? This type of research is particularly relevant in dynamic sectors like agribusiness, where climate change, population growth, and technology shifts are constantly reshaping the landscape.

A relevant example is the use of predictive analytics in agriculture. Predictive data analytics in agriculture enables farmers and agribusinesses to make predictions and adjustments based on factors such as weather, product type, fertilizer amounts, and application rates – leading to improvements in crop yields and better returns on investment. Futuristic research, when done well, gives businesses a strategic head start.

Exploratory research: opening the inquiry 🔗

Exploratory research is conducted at the early stage of a research process, when a topic or issue is not yet well understood. Its goal is to generate ideas, clarify concepts, and frame hypotheses for future research. It does not produce definitive conclusions but lays the groundwork for deeper investigation.

Common methods include literature reviews, expert interviews, and focus groups. In agribusiness, a company might use exploratory research to understand why farmer adoption of a new irrigation technology is unexpectedly low. Exploratory research helps generate ideas or hypotheses that guide the direction of more structured research to follow.

Descriptive research: painting a detailed picture 🔗

Descriptive research answers the “what” questions. It describes the characteristics, behaviors, or phenomena of a subject as they exist – without manipulating any variables or explaining why they occur. It is one of the most widely used forms of business research.

Typical methods include surveys, observations, and case studies. Descriptive research aims to accurately and systematically describe a population, situation, or phenomenon. It is appropriate when you need to identify characteristics, frequencies, or trends. For example, an agribusiness firm might use descriptive research to profile smallholder farmers in a target market – understanding their land size, income range, crop mix, and technology usage patterns – before designing a new product or service.

Descriptive research is also statistically oriented, making it well-suited for generating data that can be used in content, reporting, and strategic planning. It is considered a mid-stage research type that informs more advanced investigation.

Explanatory research: connecting the dots 🔗

Explanatory research (also called causal research) goes beyond describing what exists – it seeks to explain why it exists by uncovering cause-and-effect relationships between variables. It is typically structured and quantitative, often involving controlled experiments or longitudinal data collection.

Explanatory research studies cause and effect relationships to explain their scope and nature – a critical precursor for drawing business conclusions. In an agribusiness context, this could mean investigating whether a shift in pricing strategy directly causes a drop in farmer procurement volumes, or whether a change in fertilizer formulation affects crop yield under specific soil conditions. It is causal in nature and often longitudinal, tracking variables over time.

Predictive research: forecasting outcomes 🔗

Predictive research investigates cause-and-effect relationships specifically with the goal of forecasting future outcomes. It builds on the findings of exploratory, descriptive, and explanatory research to develop statistical models that estimate what is likely to happen under given conditions.

In agribusiness, predictive research has significant real-world value. Predictive analytics models for crop suitability and productivity use historical data and environmental factors to forecast which crops are best suited to specific conditions – a direct application of predictive research in the field. Similarly, agribusinesses use predictive models to forecast commodity prices, anticipate demand fluctuations, and plan supply chain operations ahead of seasonal shifts. Statistical modeling is the core tool of this research type, making it data-intensive but highly actionable.

Other important types: qualitative, quantitative, and conceptual research 🔗

Beyond these primary types, a few other classifications are important to understand in the context of business research.

Qualitative vs. quantitative research 🔗

Qualitative research collects non-numerical data – opinions, attitudes, motivations, and behaviors – often through interviews, focus groups, or ethnographic observation. It is especially useful for understanding why people behave in certain ways. Quantitative research, by contrast, depends on numerical data such as statistics and measurements to investigate specific questions and is usually presented in tables or graphs. In agribusiness, quantitative research might measure the percentage change in yield following a new input regimen, while qualitative research might explore farmer attitudes toward adopting that regimen.

Conceptual and empirical research 🔗

Conceptual research is based on abstract ideas and theories rather than direct data collection. It is used to develop new frameworks or reinterpret existing theories – common in academic and policy contexts. Empirical research, by contrast, is grounded in direct data gathered through observation or experimentation. It relies on real-world evidence rather than theory alone, and its findings are verifiable and replicable.

Choosing the right type for your research purpose 🔗

The type of business research you choose must match your objective. A useful rule of thumb: use exploratory research when you’re unsure of the problem, descriptive research to understand the current state, explanatory research to find causes, and predictive research to forecast future outcomes. Basic research supports long-term knowledge building, while applied research addresses pressing operational needs.

In agribusiness, these types are rarely used in isolation. A research project might begin with exploratory interviews with farmers, follow up with a descriptive survey of the market, then apply explanatory analysis to identify what drives their purchasing decisions, and finally develop a predictive model to estimate demand for the next growing season. Each type builds on the other – together forming a comprehensive, evidence-based approach to business decision-making.

What do you think? When an agribusiness faces a sudden drop in sales, which type of research – exploratory, descriptive, or explanatory – should it prioritize first, and why? And as predictive analytics becomes more accessible to small and medium agribusinesses, do you think it will fundamentally change how research-driven decisions are made at the farm and firm level?

References

1. https://allclearnotes.in/business-research-unit-1/
2. https://www.indeed.com/career-advice/career-development/types-of-research
3. https://pubadmin.institute/research-methodologies/types-of-research-basic-to-participatory
4. https://ppcexpo.com/blog/business-research-methods
5. https://www.agmatix.com/blog/the-importance-of-predictive-analytics-in-agriculture-making-sound-future-decisions-based-on-statistical-science-and-big-data/
6. https://www.scribd.com/document/899262166/BPR-Lecture-Week-2-Outline
7. https://www.scribbr.com/methodology/descriptive-research/
8. https://www.pollfish.com/resources/blog/survey-guides/mastering-the-6-most-critical-types-of-research-for-any-research-endeavor/
9. https://www.sciencedirect.com/science/article/pii/S2772662223001510