10Min Research Methodology - 23 (P2) - How to Incorporate Theory in Discussion and Implications
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Use theory in the discussion to explain the mechanism behind significant (or non-significant) results, not just to cite supporting studies.
Briefing
A strong discussion section doesn’t just cite studies that agree or disagree—it uses theory to explain why the results matter. After presenting findings (for example, a significant impact of Knowledge Management processes on project success), the discussion should connect the observed relationships to the theoretical logic that predicts them, including the “why” and “how” behind significance.
In the example provided, the study’s results validate a hypothesis that Knowledge Management processes influence project success, aligning with prior research. But the key requirement is deeper than listing supportive citations. The discussion must clarify what the relationship means in practice: Knowledge Management architecture improves the likelihood of successful projects because it enables better communication and delivers more informed knowledge to both project managers and project teams. That causal pathway is what turns a statistical result into a theoretically grounded explanation. The same logic is used to justify the findings through the Knowledge-Based View (KBV), which holds that effective management of knowledge resources improves organizational performance. When knowledge resources are managed well, organizations gain advantages that translate into outcomes like successful projects.
From there, the transcript shifts to theoretical implications—often treated as an afterthought, but framed here as a place to show how the work advances theory itself. Theoretical implications should explicitly name the theory and state what new insight the study adds based on that theory. One example describes enriching the loyalty literature by integrating complexity theory, arguing that loyalty research has not sufficiently examined loyalty through a complexity lens. Another example emphasizes filling gaps highlighted earlier in the introduction, describing a “novel” contribution that combines Swift collaboration of KBV and DRAA theory to explain how knowledge (K) enables Knowledge Management processes, which then improves higher education institutional performance through mediation of KWP.
The practical takeaway is a step-by-step method for incorporating theory across a paper. First, briefly describe the theory in the introduction. Next, identify the theory’s contribution in the contribution section. Then, use the theory to explain relationships in the literature review. In the discussion, apply the theory to support the findings by providing the causal reasoning behind significant (or non-significant) results. Finally, write theoretical implications by stating how the study extends, integrates, or fills gaps within the named theory—often by specifying what changes in the literature because of the theoretical integration. Overall, the transcript’s core message is that theory should do work throughout the paper: it should justify the relationships, interpret the results, and show how the research advances theoretical understanding.
Cornell Notes
The discussion and implications sections should turn results into theory-driven explanations. After reporting findings such as a significant effect of Knowledge Management processes on project success, the discussion must explain why the relationship is significant (or not) using the causal logic of the chosen theory—e.g., Knowledge-Based View reasoning that effective knowledge resource management improves organizational performance through better communication and more informed knowledge for project managers and teams. Theoretical implications then go further by stating how the study advances the theory itself, such as enriching loyalty research through complexity theory or filling gaps by combining KBV with DRAA theory to explain knowledge-enabled KM processes and mediated performance outcomes in higher education. This approach makes theory a continuous thread rather than a citation list.
What’s the difference between a weak and strong discussion section when theory is involved?
How does the Knowledge-Based View (KBV) get used to justify findings about Knowledge Management and project success?
What should theoretical implications do that the discussion section doesn’t?
How can complexity theory be positioned as a theoretical contribution in a loyalty study?
What is the recommended structure for incorporating theory across a paper?
Review Questions
- When interpreting a significant relationship in your results, what specific “why/how” explanation should theory provide in the discussion section?
- How would you write theoretical implications so they advance the theory (not just restate that results were significant)?
- Which parts of a paper should include theory, and what role does theory play in each section?
Key Points
- 1
Use theory in the discussion to explain the mechanism behind significant (or non-significant) results, not just to cite supporting studies.
- 2
For Knowledge Management and project success, tie the findings to KBV’s logic of managing knowledge resources to improve performance.
- 3
Explain how Knowledge Management architecture improves outcomes through communication and more informed knowledge for project managers and project teams.
- 4
Write theoretical implications by naming the theory and stating what new insight the study adds to that theory or literature.
- 5
Position contributions as theoretical advances such as integrating complexity theory into loyalty research or filling gaps identified earlier in the introduction.
- 6
Follow a consistent workflow: introduce theory, state theoretical contribution, use theory in literature review, apply theory in discussion, then articulate theoretical implications.