BUSI 600 Week 2 Group DB Forum 1: Part 2 Example

Group Discussion Board Forum 1: Part 2

BUSI 600 Business Research Methods, Group Discussion Board Forum 1: Part 2 (replies)

Thread by [Student Name]

The two classmates and their threads are composites; the research and Scripture cited are real, and the requirements follow Liberty's public course guide for BUSI 600.

Reply to Marcus

Marcus, your thread explained the stages of research design clearly, and your point that a researcher should match the method to the question is well taken. I want to push on one assumption, though: that the manager hands the researcher a question and the researcher's job begins with methods. Schindler (2019) places the management dilemma and the management question at the top of the hierarchy precisely because they are where studies most often go wrong, and research on organizational decisions supports that emphasis.

Nutt (1999) reviewed 356 decisions made in medium and large organizations; roughly one in two failed, in the sense that the choice was never put into use, was dropped later or delivered poor results. The failures were associated with tactics managers used early in the process. Decision makers who imposed an idea at the outset and then sought support for it failed far more often than those who began by clarifying what outcome they wanted and searching for options. In your thread's example, the hospital system that asked researchers to "measure why nurses are dissatisfied with pay" had already chosen the explanation. If turnover is actually driven by scheduling or by a few unit managers, a study framed around pay would answer the question it was given and still miss the problem.

Baer et al. (2013) make a similar argument about strategy. They contend that the quality of a solution is bounded by the quality of the problem formulation, and that groups tend to settle too quickly on a single framing. Their proposed remedy is to have individuals frame the problem independently first, so that more possible explanations are on the table before the group integrates them. For a research team, that suggests a simple practice: before agreeing on the management question, ask the manager, two frontline employees and the researcher to each write down what they think the problem is, then compare.

A researcher who accepts the first framing is efficient in the wrong direction. James 1:19 counsels believers to be quick to listen and slow to speak, and it applies well to the opening of a research project. The researcher serves the manager best by listening longer than feels comfortable, including to people the manager did not think to ask. Listening first is also a form of humility, since it admits that the researcher, like the manager, may not yet understand what is happening in the organization.

For our Part 3 paper, I recommend that we add a step before the research question in our group's process: an exploratory phase of interviews and a review of existing records whose only purpose is to test the management question. I also recommend that our example of the hospital be revised so that the management question is stated as "How can we reduce nurse turnover?" rather than as a question about pay, which leaves room for the evidence to point elsewhere.

Reply to Hannah

Hannah, I agree with much of your thread, especially your point that managers who trust their gut often overrate their own track record. Where I would add a qualification is your conclusion that data should always override experience. The research suggests that both have a place and that the useful question is when each deserves more weight.

There is solid evidence that data-driven decision making pays. Brynjolfsson and McElheran (2016), using a Census Bureau survey of U.S. manufacturing plants, found that the share of plants making decisions based on data climbed steeply from 2005 to 2010, and that adoption was associated with higher productivity. They also found that adoption was more common in plants that already had strong information technology and educated workers, which suggests the benefit depends on the capability to use the data well, not only on collecting it. A company that installs dashboards without training people to question them may simply make the same decisions with more charts attached, and a model is only as sound as the assumptions and data that go into it.

On the other side, Kahneman and Klein (2009), who began their collaboration from opposing positions on expert judgment, agreed on the conditions under which intuition can be trusted. In their account, a hunch deserves trust only in settings stable enough to contain learnable patterns, and only from someone who has spent years acting in that setting and promptly learning whether each call was right, such as a veteran fire commander or an experienced intensive care nurse who notices a patient beginning to decline. They are unreliable in environments with low predictability, such as forecasting stock prices or long-range political events, where experts' confidence outruns their accuracy. A store manager's sense of how a holiday weekend will go may meet their conditions; a marketing director's feeling about how consumers will respond to an entirely new product category does not.

Proverbs 15:22 links the success of a plan to the number of advisers who were consulted. Data and experienced judgment are both forms of counsel, and the wise decision maker seeks both rather than discarding one. That principle also guards against pride, whether it takes the form of a veteran's certainty or an analyst's confidence in a model.

For our Part 3 paper, I recommend that we replace "data should always override experience" with a decision rule based on these findings: rely more on intuition when the situation is familiar, the manager has had repeated feedback and the decision is reversible; invest in formal research when the situation is new, feedback has been scarce or the decision is costly to undo. That rule fits Schindler's value-of-information test and gives our paper a position the research supports. It also gives managers a way to explain their choice to a board or a supervisor: they can say why the situation calls for a study, or why it does not, instead of appealing to personal preference.

References

Baer, M., Dirks, K. T., & Nickerson, J. A. (2013). Microfoundations of strategic problem formulation. Strategic Management Journal, 34(2), 197-214. https://doi.org/10.1002/smj.2004

Brynjolfsson, E., & McElheran, K. (2016). The rapid adoption of data-driven decision-making. American Economic Review, 106(5), 133-139. https://doi.org/10.1257/aer.p20161016

Kahneman, D., & Klein, G. (2009). Conditions for intuitive expertise: A failure to disagree. American Psychologist, 64(6), 515-526. https://doi.org/10.1037/a0016755

Nutt, P. C. (1999). Surprising but true: Half the decisions in organizations fail. Academy of Management Executive, 13(4), 75-90. https://doi.org/10.5465/ame.1999.2570556

Schindler, P. S. (2019). Business research methods (13th ed.). McGraw-Hill Education.