| Course | DBAX 9102 Business Research Project Stage 2 |
|---|---|
| Week | Week 6 |
| Paper type | Open remainder |
| Length | About 750 words, 5 pages |
| Format | APA 7 student paper |
| School | Walden University |
| Program | Doctor of Business Administration (DBA) |
| Updated | October 2026 |
Free sample paper for DBAX 9102 Week 6
Not "Little Is Known" but Exactly What Is Not: An Open Remainder Statement Naming the Untested Combination of Manager Coaching Frequency, Coaching Skill and Recorded Quota Attainment in Industrial Distribution
Student Name
Walden University
DBAX 9102: Business Research Project Stage 2
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Month Day, Year
Not "Little Is Known" but Exactly What Is Not: An Open Remainder Statement Naming the Untested Combination of Manager Coaching Frequency, Coaching Skill and Recorded Quota Attainment in Industrial Distribution
Why Not "Little Is Known"
Gap statements usually announce that little is known about a topic. That invites an easy reply: someone has studied it. A reviewer who finds one study can dismiss the gap. Alvesson and Sandberg (2011) argue that research questions built only on spotting gaps tend to produce small additions to existing thinking, and that stronger questions come from identifying what existing work assumes. This statement instead names precisely what the reviewed literature has not tested, given what it has: the open remainder left after the settled findings and the claims sorted in earlier weeks.
What Has Been Tested
Coaching in general has been tested extensively, with positive average effects. Managers' coaching has been linked to employees' performance in many field studies, including distribution settings such as the warehouse study by Ellinger et al. (2003), but mostly with ratings as outcomes. Coaching skill and frequency have been separated in at least one sales study: Dahling et al. (2016) reported that more frequent sessions paid off chiefly for skilled coaches, using goal attainment in a large sales organization.
The Remainder
Table 1
What Has and Has Not Been Tested
| Element | Tested | Not yet tested in the reviewed literature | |
|---|---|---|
| Coach | Professionals; managers in several industries | Branch sales managers in industrial distribution | |
| Coaching measure | Frequency or skill, usually one | Logged frequency from company systems combined with skill rated by salespeople | |
| Outcome | Ratings; goal attainment in one sales study | Quota attainment from company records over several quarters | |
| Setting | Pharmaceutical sales, warehouses, professional services | Outside sales of industrial supplies to repeat business customers | |
| Policy | Coaching as offered | Coaching under a fixed frequency target set by company policy | |
Built from the extraction sheet of 37 studies.
The Remainder Stated
The reviewed literature has not examined whether, among outside salespeople in industrial distribution, the frequency of coaching sessions logged by their sales managers is related to recorded quota attainment once the salespeople's own ratings of their managers' coaching skill are taken into account, under a company policy that sets a frequency target. Each part of that sentence is tested somewhere; the combination is not.
Why the Combination Matters
The combination matters because the policy question in many sales organizations is precisely whether to set coaching frequency targets. Dahling et al. (2016) suggest that frequency without skill adds little, but their setting differed, and their study was not designed to evaluate a frequency policy. A company that sets a target of two sessions a month is betting that frequency matters on its own. The remainder asks whether that bet is supported where it is actually made.
What the Remainder Does Not Claim
The remainder makes no claim that sales coaching is unstudied. Nor does it say the combination is untested everywhere, only in the literature this review found with a documented search. A reviewer who knows a study meeting all five elements would weaken the remainder, and I would want to know of it.
How the Remainder Shapes the Study
Each element of the remainder becomes a design requirement. Studying branch sales managers in industrial distribution sets the population. Using logged sessions rather than recalled ones requires access to the company's customer relationship system, where managers record coaching under the current plan. Measuring skill separately requires a short survey of salespeople about their manager's coaching. Using recorded quota attainment over several quarters requires the company's sales reporting data. And the policy element means the study must describe how the frequency target was introduced, since a target that managers treat as a box to tick may produce logged sessions that differ from real coaching. None of these requirements is optional; dropping any one would move the study back into territory the literature has already covered.
A Check Against the Assumption
I then asked, as Alvesson and Sandberg (2011) urge, what the existing studies assume. Most assume that coaching is a voluntary managerial behavior that varies naturally. The policy setting breaks that assumption: when frequency is mandated, managers who coach poorly may coach as often as those who coach well. That shift is part of why the remainder is worth studying, not only a gap in coverage. It turns a question about a natural behavior into a question about a management policy, which is the question my company and many other sales organizations actually face.
References
Alvesson, M., & Sandberg, J. (2011). Generating research questions through problematization. Academy of Management Review, 36(2), 247-271. https://doi.org/10.5465/amr.2011.59330882
Dahling, J. J., Taylor, S. R., Chau, S. L., & Dwight, S. A. (2016). Does coaching matter? A multilevel model linking managerial coaching skill and frequency to sales goal attainment. Personnel Psychology, 69(4), 863-894. https://doi.org/10.1111/peps.12123
Ellinger, A. D., Ellinger, A. E., & Keller, S. B. (2003). Supervisory coaching behavior, employee satisfaction, and warehouse employee performance: A dyadic perspective in the distribution industry. Human Resource Development Quarterly, 14(4), 435-458. https://doi.org/10.1002/hrdq.1078
DBAX 9102 Week 6 instructions, in plain terms
Week 6 asks you to state the open remainder your study will address. Explain why vague statements that little is known invite easy rebuttal. Summarize what the literature has tested. In a table, set each element of your study, such as population, measures, outcome, setting and policy context, against what has and has not been tested. State the remainder in one paragraph a reviewer could quote. Explain why the untested combination matters for practice. Say what the remainder does not claim. Show how each element becomes a design requirement. Close by examining an assumption the existing studies share that your setting breaks, if there is one.
How this DBAX 9102 Week 6 example is built
The paper opens by explaining why gap statements invite rebuttal, citing Alvesson and Sandberg. A section summarizes tested work, citing Ellinger and colleagues and Dahling and colleagues. A table sets five elements against tested and untested conditions. A single paragraph states the remainder. A section explains that frequency targets are the real policy question. A section states what the remainder does not claim and invites a reviewer to name a counterexample. A section turns each element into a design requirement. A closing section shows that a mandated policy breaks the assumption that coaching varies naturally. The remainder paragraph is written to be lifted directly into the proposal's problem section.
Reading the DBAX 9102 Week 6 rubric
The weightiest element is a one-paragraph remainder precise enough that a reviewer could test it against the literature. A table showing tested and untested elements carries heavy weight. Explaining why the combination matters to practice shows business relevance. Stating what the remainder does not claim shows care. Turning elements into design requirements demonstrates coherence between review and design. Identifying a shared assumption that the setting breaks shows the deeper problematization doctoral reviewers value. Remainders that say little is known, overclaim novelty or describe a gap the design cannot address are judged insufficient. A remainder that names five elements and states which combination is untested is far easier to defend than one that names a topic. Inviting a reviewer to produce a counterexample shows confidence grounded in a documented search.
DBAX 9102 Week 6 help: mistakes that cost marks
List each element of your planned study and ask, for each, whether any study you found has tested it. Most will have been tested somewhere. The remainder usually lies in a combination, so write that combination as one sentence and check it against your extraction sheet. Then ask why practitioners would care about that combination. Finally, look for an assumption most studies share that does not hold in your setting. Many students write that their topic is understudied, which a single citation can refute. Others claim novelty for a combination nobody would find useful. Keep the statement precise and modest. Our writers can help you test a remainder against the studies you have coded.
Get a DBAX 9102 Week 6 example written to your instructions
Where the Week 5 findings already exist, include them with the Week 6 prompt and rubric; the remainder is argued from them. A statement with its typing, search strings and rejected candidates is ready within 24-48h, free as a first request. The strings are illustrative, and rerunning them in your own databases makes the openness claim yours.
More DBAX 9102 papers and DBA samples
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- DBAX 9102 Week 4: Literature Disagreement Analysis
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- DBAX 9102 Week 8: Research Design Commitment
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DBAX 9102 Week 6 questions, answered
Where can I find a free DBAX 9102 Week 6 sample paper?
The open remainder statement, with its tested and untested table, is reproduced below at no charge.
Why does the DBAX 9102 Week 6 paper avoid saying little is known?
Because one citation can refute it.
What combination remains untested?
Logged coaching frequency, rated skill and recorded quota attainment in industrial distribution under a mandated policy.
Why does the policy matter?
Where frequency is required, poor coaches may coach as often as good ones.
How does the remainder shape the design?
Each element becomes a requirement the design must meet.