Narrowing down a broad industry trend into a viable research question for an upcoming business conference paper?

The secret to narrowing a sprawling topic like supply chain resilience into a sharp research question is to stop asking what is happening and start asking why a specific mechanism fails or succeeds under precise constraints. When you feel like your inquiry is too descriptive, it’s usually because you’re summarizing a trend rather than interrogating a tension. You can bridge this gap by applying the PICOT framework—Population, Intervention, Comparison, Outcome, and Time—which forces you to move away from general observations and toward a testable hypothesis. Instead of looking at supply chain resilience as a monolithic concept, try to isolate a single variable, such as the impact of decentralized inventory buffers on lead-time volatility during sudden geopolitical shocks. By shifting your focus from the "what" to the "how" or "to what extent," you transform a broad observation into a focused inquiry that fits neatly within a 3,000-word constraint. A common pitfall I see in our cohort is the urge to solve the entire problem at once, which leads to papers that feel like surface-level literature reviews rather than original research. You don’t need to reinvent the wheel; you just need to find a small, neglected corner of the existing literature. Think of it as a trade-off between breadth and depth. If you try to cover every facet of resilience, you'll end up with a shallow analysis that lacks the empirical rigor reviewers look for. To avoid this, try mapping your data against a "tension matrix," where you place two competing management priorities on opposite axes—like cost-efficiency versus redundancy—and identify the specific quadrant where current literature offers conflicting or insufficient guidance. For instance, imagine you’re analyzing a mid-sized electronics manufacturer that shifted from just-in-time to just-in-case logistics; rather than writing about the whole industry, you could focus specifically on how that firm’s decision-making process changed when they encountered a localized labor shortage, effectively turning a massive global trend into a manageable, granular case study. Ultimately, the viability of your question depends on the granularity of the data you have access to and the specific theoretical lens you choose to apply. If your data is purely qualitative, you’ll want to frame your question around the process or the organizational culture that enabled a specific outcome. If you have quantitative metrics, you can lean into a more causal inquiry. Don't be afraid to kill your darlings; if a sub-topic doesn't directly support your central research question, cut it, even if it’s fascinating. The most successful conference papers are those that take a very small slice of a massive problem and examine it with enough intensity to reveal a new insight that others have overlooked. Once you have that narrow focus, the structure of your paper will naturally follow the logic of your argument, making it much easier to stay under your word limit while still delivering a high-impact contribution.