B2B growth and sales · Cross-sectional survey analyzed with structural equation modeling.
B2B purchase engagement: Examining the key drivers and outcomes in professional services
Munyaradzi W. Nyadzayo, Riza Casidy, Park Thaichon (2020). B2B purchase engagement: Examining the key drivers and outcomes in professional services. Industrial Marketing Management. https://doi.org/10.1016/j.indmarman.2019.11.007.
Plain-English take
Customization and loyalty to the account manager are salient drivers of purchase engagement. Engagement predicts consideration-set size, dependence and willingness to pay a premium; dependence mediates effects on consideration-set size and premium willingness to pay. For your marketing: Use it as a B2B mechanism or sales-process design reference. Validate the relationship in your deal size, buying committee and sales cycle.
How much weight to give this
3/5 Moderate evidence for a specific setting
The 1–5 evidence-check score is a practical reading aid, not a formal peer review or a probability that a conclusion is true. It combines design strength (2 points), sample reporting (1), comparison/control clarity (1), and how much of the paper could be checked (1). Access affects how confidently this directory can assess a study, not the study's underlying quality. Blinding is reported separately because it is not relevant to every design.
Cross-sectional survey analyzed with structural equation modeling.
CEOs and/or owner-managers of small and medium-sized enterprises in Australia, in a B2B professional-services context; the publisher’s data-collection section says 4,000 CEO/owner-manager email addresses were sourced from a professional database.
Based on the publisher-described design and comparison; see the article for complete analysis.
Publisher record was fetched directly; full text was not assumed open.
Double-blind? Blinding was not established from the retrieved publisher record.
Research question
What the authors investigated
What drives purchase engagement in B2B professional services, and what transactional and relational outcomes does it produce?
Design
Cross-sectional survey analyzed with structural equation modeling.
Sample and setting
CEOs and/or owner-managers of small and medium-sized enterprises in Australia, in a B2B professional-services context; the publisher’s data-collection section says 4,000 CEO/owner-manager email addresses were sourced from a professional database.
Reported result
What the study found
Customization and loyalty to the account manager are salient drivers of purchase engagement. Engagement predicts consideration-set size, dependence and willingness to pay a premium; dependence mediates effects on consideration-set size and premium willingness to pay.
This is a paraphrase of the source. Check the original paper for definitions, estimates, statistical uncertainty and analysis details.
Scope and transfer
Limitations to keep in view
No dedicated limitations statement was visible in the fetched publisher preview; therefore publisher-stated limitations are not stated here.
Possible founder application
Use it as a B2B mechanism or sales-process design reference. Validate the relationship in your deal size, buying committee and sales cycle.
Evidence access
Publisher abstract/metadata retrieved; consult the linked paper for full methods and tables.
The publisher abstract says the study uses structural equation modeling and a survey of Australian SME CEOs/owner-managers, and reports customization and account-manager loyalty as drivers plus three outcomes. Direct publisher-page retrieval was recorded on 2026-10-09; profile summarizes the accessible record and does not claim independent review of inaccessible full text.
If only an abstract or metadata was available, the profile is limited to claims supported there. A paper's paywall does not change its evidentiary status, but it limits what we can substantiate from accessible text.