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J·BJon BishopIndependent growth marketer

AI · Abstract-supported quantitative empirical study

Cloud computing adoption in SMEs: assessing the moderating role of AI on perceived business process performance through D&M model lens

Business Process Management Journal · 2026

Chathurika S. Ahmad, A. S. Bali Mahomed, H. Hashim

Summary

Information quality and service quality significantly enhanced perceived business-process performance; system quality did not have a meaningful direct effect; perceived AI usefulness amplified the effects of system and information quality. For a founder, use this as a question to test in your own context, not a universal playbook.

For your marketing

Possible founder application

Treat this as evidence for the specific customer behavior and adoption question studied. Compare the setting and sample to your company before changing a growth decision; use a local experiment where the paper does not match your context.

Reported result

What the study found

Information quality and service quality significantly enhanced perceived business-process performance; system quality did not have a meaningful direct effect; perceived AI usefulness amplified the effects of system and information quality.

Research question

What the authors investigated

How does cloud-computing quality affect perceived business-process performance in SMEs, and does perceived AI usefulness moderate those effects?

Design

Structured questionnaire and PLS-SEM grounded in the DeLone and McLean Information Success Model.

Sample and setting

412 SMEs in Pakistan.

Scope and transfer

Limitations to keep in view

The accessible abstract does not report detailed limitations; Pakistan-only, cross-sectional, self-reported SME data constrain external validity.

Research sources

Publisher DOI record and accessible article/abstract directly support the bibliographic record and the summary fields; editorial review remains appropriate for duplicate checking against the unseen 300-study library. Correction notices were not separately verified in this collection; consult the current publisher record before applying the findings.

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