DOES AI INTEGRATION MODERATE THE RELATIONSHIP BETWEEN FIRM GROWTH AND PERFORMANCE IN SMES: THE INFLUENCE OF DECISION-MAKING AND OPERATIONAL PERFORMANCE

dc.contributor.advisorButler, Frank C
dc.contributor.advisorGillis, William E
dc.contributor.advisorHair Jr, Joe F
dc.contributor.advisorScott, Justin T
dc.contributor.authorAlQahtani, Dalal T
dc.date.accessioned2025-06-17T20:33:40Z
dc.date.issued2025-05
dc.description.abstractToday’s dynamic business environment requires small and medium-sized enterprises (SMEs) to keep up with technological advancements in order to remain competitive. Business growth creates more challenges for SMEs since they possess fewer available resources than big organizations. Since the introduction of artificial intelligence (AI), several SMEs have been able to compete more effectively and deliver better performance. As part of this research, I examine the possibility that AI integration (AII) will moderate the relationship between firm growth and both decision-making and operational performance, ultimately affecting the performance of SMEs. The aim of this research is to provide practical implications for AI as a strategic resource for improving decision-making capabilities, performance and growth by utilizing the resource-based view (RBV) and information processing theory (IPT). A partial least squares structural equation model (PLS-SEM) was used to analyze data from 338 SME business strategy decision-makers in the United States. In order to verify the measurement model’s reliability and validity, a Confirmatory Composite Analysis (CCA) was performed, followed by the evaluation of the structural model in order to test the hypotheses. In contrast to initial hypotheses, this study found that firm growth is positively related to both decision-making and operational performance. Nevertheless, the study results support the original hypothesis that both decision-making performance (DMP) and operational performance (OPP) positively affect a firm’s performance. Furthermore, AII significantly moderated the relationship between FG and OPP, while it did not significantly moderate the relationship between FG and DMP. This indicates the complexity of the role AI integration plays in SMEs. The paper concludes with recommendations for future research, as well as guidance for practitioners regarding how SMEs can improve their decision-making capabilities and performance using AI.
dc.format.extent138
dc.identifier.citationAlQahtani, D. T. (2025). Does AI Integration Moderate the Relationship Between Firm Growth and Performance in SMEs: The Influence of Decision-Making and Operational Performance (Order No. 31933995). Available from Dissertations & Theses @ University of South Alabama; ProQuest Dissertations & Theses Global. (3191054841). http://libproxy.usouthal.edu/login?url=https://www.proquest.com/dissertations-theses/does-ai-integration-moderate-relationship-between/docview/3191054841/se-2
dc.identifier.urihttps://hdl.handle.net/20.500.14154/75581
dc.language.isoen_US
dc.publisherUniversity of South Alabama
dc.subjectDecision-making Performance
dc.subjectSmall and Medium Sized Enterprises
dc.subjectAII
dc.subjectAI
dc.subjectSME
dc.subjectFirm Growth
dc.subjectArtificial Intelligence Integration
dc.subjectArtificial Intelligence
dc.subjectFirm Performance
dc.subjectOperational Performance
dc.subjectResource-Based View
dc.subjectRBV
dc.subjectPLS-SEM
dc.subjectPartial Least Squares Structural Equation Modeling
dc.subjectInformation Processing Theory
dc.subjectIPT
dc.subjectKnowledge-Based View
dc.subjectKBV
dc.subjectHeterotrait-Monotrait Ratio
dc.subjectHTMT
dc.subjectComposite Reliability
dc.subjectCR
dc.subjectConfirmatory Composite Analysis
dc.subjectCCA
dc.subjectCovariance-Based Structural Equation Modeling
dc.subjectCB-SEM
dc.subjectAverage Variance Extracted
dc.subjectAVE
dc.subjectVariance Inflation Factor
dc.subjectVIF
dc.subjectOPP
dc.subjectDMP
dc.subjectFG
dc.subjectFP
dc.titleDOES AI INTEGRATION MODERATE THE RELATIONSHIP BETWEEN FIRM GROWTH AND PERFORMANCE IN SMES: THE INFLUENCE OF DECISION-MAKING AND OPERATIONAL PERFORMANCE
dc.typeThesis
sdl.degree.departmentBusiness of Administration
sdl.degree.disciplineBusiness of Administration, Management
sdl.degree.grantorUniversity of South Alabama
sdl.degree.nameDoctor of Philosophy

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