DOC 723 Week 7 Conceptual Reasoning Example

Thinking Through the Mechanism: Conceptual Reasoning About Why Onboarding Might Keep Customers

[Student Name]

University of Phoenix

DOC/723: Doctoral Seminar II

Week 7 Assignment

[Instructor Name]

[Date]

The learner and the company are composites written for a model paper; cited works are real.

Week 5 drew the framework linking onboarding to retention, and Week 6 positioned it among three distinct research streams. A diagram with arrows, though, is not yet an argument that a committee can test or a reader can dispute. This paper examines in detail, arrow by arrow, why each relationship should hold, where it should hold and what else could explain the same pattern.

What a Contribution Requires

Whetten (1989) proposed that a complete theoretical contribution addresses what factors should be considered, how they are related, why the relationships hold, which is the theory's logic, and who, where and when the theory applies. He argued that the why, the underlying mechanism, is what makes a contribution theoretical rather than descriptive. The framework names its factors and draws its relationships; this paper supplies the why and the boundaries.

Four Propositions

P1: Manager-led onboarding increases early use of a software product's core features among small-business subscribers. Mechanism: a person who demonstrates features in the context of the customer's business lowers the effort of learning and makes the features' value visible, consistent with the idea that suppliers help customers create value in use.

P2: Greater early feature use increases the likelihood of continued subscription. Mechanism: use gives customers the experience needed to confirm their expectations and judge the software useful, which sustains continued use.

P3: The effect in P1 is stronger for firms with fewer employees. Mechanism: the smallest firms have no staff member whose job includes learning new systems, so outside help substitutes for internal capacity.

P4: Manager-led onboarding may increase continued subscription through a path not explained by feature use. Mechanism: a named contact builds trust and makes it easier to resolve problems that might otherwise end the subscription.

Boundary Conditions

Who: small businesses, fewer than 20 employees, in service industries, where the owner is usually the main user. Where: subscription business software with monthly contracts and modest switching costs at signup. When: the first year after subscription, when experience is forming. Outside these bounds, such as enterprise software with long contracts and dedicated administrators, the propositions may not hold, because large customers have internal capacity and contracts that keep them regardless of experience.

Competing Mechanisms

Three mechanisms could produce an association between onboarding and retention.

Learning: onboarding teaches use, use creates value and value keeps customers. This is the anchor path, combining P1 and P2.

Relationship: onboarding creates a personal connection that keeps customers even when use is modest. This is the path described in P4.

Switching costs: onboarding helps customers load their data, which makes leaving harder, regardless of value. This is a rival not built into the framework.

What Evidence Would Favor Each

If the onboarding association with retention shrinks substantially when feature use is accounted for, learning is favored. If the association remains among customers with low feature use, relationship or switching costs are possible. If the association is concentrated among customers who imported large amounts of data during onboarding, switching costs are favored. The records can distinguish some, but not all, of these patterns, since trust and relationships leave no direct trace in usage logs; the learner will report which mechanisms the evidence supports and which remain open.

Three different stories predict the same headline result; only the details of who stays tell them apart.

From Propositions to Hypotheses

Propositions describe relationships among concepts; hypotheses describe relationships among measured variables. P1 becomes H2 when onboarding is recorded as a first-month meeting with a manager and feature use as the count of core features used repeatedly in ninety days. P2 and P1 together become H1 when continued subscription is measured as an active paid plan at twelve months. P3 becomes H3 when internal capacity is approximated by employee count. Each translation loses something: a session record does not show what the manager taught, and employee count does not show who in the firm knows technology. Naming those losses keeps the hypotheses honest about how closely they test the propositions.

Reasoning About Direction

One more question concerns direction. Could feature use cause onboarding rather than the reverse? In the company's process, onboarding sessions are offered at signup, before use begins, and the measure counts only sessions in the first month, so reverse direction is unlikely for P1. For P2, customers who already intend to leave may stop using features, so the use-to-retention link could partly reflect intention driving use. The analysis will measure use in the first ninety days, well before most cancellations, which narrows this worry without ruling it out.

Classifying the Contribution

MacInnis (2011) proposed a framework of conceptual contributions in marketing, including envisioning new ideas, explicating existing ones, relating concepts to one another and debating established views. The dissertation's contribution is mainly relating, connecting a supplier practice to a continuance outcome through a mechanism, and partly explicating, specifying the conditions under which customer success should matter. It also contains a modest debating element, questioning the assumption that onboarding works only through feature use.

What Would Count Against the Framework

A framework worth testing must be able to fail. If onboarded customers use more features but retain no better, P2 is challenged in this population: perhaps use and value diverge for small businesses, which may pay for software they use only for billing. If the onboarding association is no larger for the smallest firms, P3's resource reasoning is challenged. Stating these outcomes in advance prevents the temptation to explain away results afterward.

Presenting the Argument

Jaakkola (2020) described approaches to designing conceptual work, including theory synthesis, theory adaptation, typology and model building, and stressed that conceptual arguments need clearly chosen theories and a transparent logic connecting them. Following that guidance, the dissertation will present each proposition with its theoretical source, mechanism and boundary condition, then translate propositions into the hypotheses tested.

Why Precision Matters

Precise propositions let the dissertation fail in informative ways. A vague claim that onboarding influences retention could be supported by almost any result. Four propositions with mechanisms and boundaries can each be supported, qualified or contradicted, and the pattern of results then says something about how customer success works, not just whether it is associated with renewal.

The Weakest Link

The weakest link is P3. The resource argument is plausible, but firm size is a rough proxy for internal capacity; a five-person salon with a tech-savvy manager may need less help than a two-person plumbing firm. The learner will acknowledge this and, if records allow, examine whether customers who reported prior use of scheduling software show smaller onboarding effects, a closer measure of capacity.

Conclusion

Conceptual reasoning turned the framework into four propositions with mechanisms, set clear boundaries, identified three competing explanations and specified the evidence that would favor each. The contribution is primarily relating and explicating, with a modest challenge to a common assumption. Week 8 assembles the full literature review section.

References

Jaakkola, E. (2020). Designing conceptual articles: Four approaches. AMS Review, 10(1-2), 18-26. https://doi.org/10.1007/s13162-020-00161-0

MacInnis, D. J. (2011). A framework for conceptual contributions in marketing. Journal of Marketing, 75(4), 136-154. https://doi.org/10.1509/jmkg.75.4.136

Whetten, D. A. (1989). What constitutes a theoretical contribution? Academy of Management Review, 14(4), 490-495. https://doi.org/10.5465/amr.1989.4308371