Management Research by Design: Questions, Hypotheses, Data and Methods

This post is part of the continuing mini-series on RQ–RH–D–M across fields. Its purpose is to provide a compact, practical toolkit showing how research questions, research hypotheses or working propositions, data, and methodology can be aligned in one specific discipline.

Management is especially suitable for this exercise because it naturally combines organizations, leadership, teams, decision-making, performance, strategy, innovation, human resources and change processes. It also supports quantitative, qualitative and mixed methods designs, making it ideal for showing how the same management problem can be studied through performance indicators, employee data, interviews organizational documents and integrated designs.

In management, research questions and hypotheses are frequently grounded in frameworks such as resource-based view, dynamic capabilities, institutional theory, contingency theory, agency theory, stakeholder theory organizational change models, leadership theory, innovation and knowledge-management frameworks and organizational behavior models. These frameworks help define constructs such as capability, performance, commitment, resistance to change organizational culture, strategic fit, leadership style or innovation orientation, which are then translated into survey scales, behavioral indicators, archival measures, interview evidence, case material or multi-source organizational datasets.

Note: The entries in the Methodology are intentionally general and indicative. They are meant to illustrate plausible methodological directions, not to exhaust the full range of possible methods, model variants or analytic choices available to the researcher. Researchers are not expected to apply all of the methodological tools listed in column Methodology in a single study. The entries are intended to indicate suitable methodological options or families of approaches from which the researcher selects those that best fit the research question, hypothesis, data, and design.

Management – quantitative research

Management – qualitative research

Management – mixed methods