Identification and Presentation of Research Gaps/Limitations in Research Introduction

A strong research introduction doesn’t just describe variables—it builds a defensible case that specific gaps exist, then ties those gaps to a clear, publishable contribution. The core message is that reviewers and handling editors often decide early whether a manuscript is “worth it,” and that decision hinges on the introduction’s first paragraphs: they must establish the topic’s importance, connect constructs into a coherent story, and then lay out research gaps with credible references.

The introduction should start by grounding the study in why the central theme matters. Here, knowledge and Knowledge Management (KM) are positioned as strategic resources for competitive advantage. Knowledge is framed as a key resource that strengthens human capital, while KM is described as the organizational practices and activities used to generate, create, and sustain intellectual assets. That framing matters because it sets up KM as the “hub” concept around which the rest of the model can revolve.

Next comes a tighter, more specific bridge to the study’s variables. KM is broken into enablers and processes. KM enablers include culture, leadership, and intellectual capital—factors that make KM activities possible. KM processes include acquisition, creation, sharing, and utilization, which are linked to competitive advantage. From there, the narrative connects KM to project success: project-based organizations face the challenge of identifying what knowledge assets they already have and how to improve project outcomes. This linkage is presented as the reason the model is worth studying—KM is not treated as an abstract concept, but as something that can influence whether projects succeed.

Once the constructs are connected, the introduction must identify gaps tied to the model’s “building blocks”: KM enablers, KM processes, and project success. Several gap claims are offered. First, entrepreneurship research has focused more on organizational performance than on project success, with only limited studies examining the entrepreneurship–project success relationship. Specific references are cited to support claims that entrepreneurial orientation has been linked to project management maturity and project success, but the overall evidence base remains thin.

Second, knowledge-oriented leadership is described as under-studied in relation to project success. A key claim is that prior work has examined knowledge-oriented leadership in the context of customer knowledge management rather than project performance, making the proposed focus on knowledge-oriented leadership and project success a novelty.

Third, KM research attention is said to concentrate heavily on knowledge sharing, while other KM processes receive less scrutiny. Entrepreneurial orientation has also been linked to only a small set of KM processes (such as utilization, sharing, and creation), leaving other KM processes insufficiently examined.

Fourth, KM-related leadership and “K” (as referenced in the transcript) are treated as relatively new concepts with limited research, including calls for additional studies on how leadership can improve KM processes.

Finally, the methodological gap is emphasized. Prior research on project success is described as relying mainly on symmetrical correlational methods. The transcript highlights the use of fsQCA (fuzzy set Qualitative Comparative Analysis) and notes that few studies combine fsQCA with project success in this context. Across all these points, the recurring prescription is practical: gap claims must be backed by verifiable database searches (notably Web of Science), and the only reliable way to find strong gaps is to read extensively and update the model based on what the literature actually contains.