Webinar: Develop Research Framework/Model from Start, Store Information, and Write the Introduction

The core message is that a strong research paper starts long before drafting—scholars must systematically identify research gaps, capture the right details from high-quality literature, and then build an introduction that flows from those stored insights. Getting the gap wrong can sink a study before it reaches peer review; the session frames gap identification as the first, non-negotiable step that determines whether a paper is publishable.

Gap discovery comes in two forms. Explicit gaps are drawn from what authors themselves list as limitations and future research directions in recent, top-tier journals (the session points to databases such as Emerald, Sage, Springer, ScienceDirect, Taylor & Francis, and JOP for business research). Implicit gaps are found by noticing what the literature repeatedly fails to address even when no one calls it out—such as limited research on servant leadership in public sector organizations. Once gaps and limitations are identified, they should be documented because they later become the backbone of the introduction: they guide the narrative of why the study matters, what is missing, and what the new work will contribute.

To make this process repeatable, the session emphasizes documenting the literature search and storing structured information from each paper. A spreadsheet (Excel) is presented as the practical tool: for every paper, scholars should record the title, research area, the “value” or importance of the concept in that area, the gaps/limitations the paper addresses, the theory used, and the paper’s contributions and limitations. The session also stresses that search procedures matter—especially for systematic literature reviews—so that researchers can justify search strings and avoid repeating unproductive searches.

A major practical takeaway is how to turn gaps into a research model. Using servant leadership as an example, the session walks through building a model from multiple papers: one study suggests servant leadership and transformational leadership affect learning organization, with organizational culture proposed as a moderator; another points to career satisfaction as a mediator and recommends additional variables beyond a single mediator, such as career commitment and other constructs. By combining these recommendations, the model grows from a simple relationship into a more complex structure with mediators and moderators. The session warns that relying on a single paper can be risky—another researcher might publish a similar model first—so gaps should be sourced from multiple studies.

Finally, the session lays out how to write the introduction using the stored information. An introduction should start with the value of the topic in general, then narrow to the value in the specific field or setting. Next comes a synthesis of existing research on the relevant variables, followed by the latest gaps and limitations that justify the study. The theoretical lens (e.g., LMX Theory in one example) and the study’s contributions are then articulated in a way that makes sense only after the gaps are clearly established. The overall workflow is straightforward but demanding: read, store, refine, and then draft—so the introduction is not written from intuition, but from a documented map of what the literature already knows and what it still lacks.