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J·BJon BishopIndependent growth marketer

Customer behavior and adoption · 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

Chathurika S. Ahmad, A. S. Bali Mahomed, H. Hashim (2026). Business Process Management Journal.

Business Process Management Journal · 2026DOI: 10.1108/BPMJ-01-2025-0103 ↗

Plain-English take

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.

How much weight to give this

3/5 Exploratory evidence; interpret cautiously

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.

Design · 1/2

Synthesis or analytical design addresses the question, but conclusions depend on included literature or model assumptions.

Sample · 0.8/1

The reviewed source reports a sample or corpus size (412); size alone does not establish representativeness.

Comparison · 0.5/1

The comparison structure is limited or depends on the paper's model/context.

Can we check it? · 0.5/1

Only publisher abstract/metadata was retrieved; full methods and robustness could not be checked.

Double-blind? Blinding was not established from the captured source; it may not apply to this study design.

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.

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.

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

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

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.

Evidence access

Publisher abstract/metadata retrieved; full text not reviewed

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.

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.

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