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Harnessing Artificial Intelligence, Business Intelligence, and Digital Technologies for achieving supply chain excellence in Oman: Investigating the mediating role of predictive analytics
16 references·0 citing·42 second hop
Harnessing Artificial Intelligence, Business Intelligence, and Digital Technologies for achieving supply chain excellence in Oman: Investigating the mediating role of predictive analytics (2025)Harnessing Artificial Intelligence, Busin…Theoretical approaches to AI in supply chain optimization: Pathways to efficiency and resilience (2024)Theoretical approaches to AI …Big data and predictive analytics: A systematic review of applications (2024)Big data and predictive analy…The impact of industry 4.0 on supply chain capability and supply chain resilience: A dynamic resource-based view (2023)The impact of industry 4.0 on…Evaluation of data analytics-oriented business intelligence technology effectiveness: an enterprise-level analysis (2023)Evaluation of data analytics-…ChatGPT and generative artificial intelligence: an exploratory study of key benefits and challenges in operations and supply chain management (2023)ChatGPT and generative artifi…Impact of big data analytics on supply chain performance: an analysis of influencing factors (2022)Impact of big data analytics …Evaluation of Reflective Measurement Models (2021)Evaluation of Reflective Meas…Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation (2021)Artificial intelligence-drive…Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience (2019)Empirical investigation of da…The Technology–Organization–Environment Framework (2011)The Technology–Organization–E…Literature Review of Information Technology Adoption Models at Firm Level (2011)Literature Review of Informat…Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Common method biases in behav…Dynamic capabilities and strategic management (1997)Dynamic capabilities and stra…Firm Resources and Sustained Competitive Advantage (1991)Firm Resources and Sustained …Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Evaluating Structural Equatio…Determining Sample Size for Research Activities (1970)Determining Sample Size for R…Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)The theory of planned behavior (1991)User Acceptance of Information Technology: Toward A Unified View1 (2003)Cloud computing adoption by SMEs in the north east of England (2013)Time to seize the digital evolution: Adoption of blockchain in operations and supply chain management among Malaysian SMEs (2019)A supply chain transparency and sustainability technology appraisal model for blockchain technology (2020)Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Self-Reports in Organizational Research: Problems and Prospects (1986)Structural Equations with Latent Variables. (1991)Technology Acceptance Model 3 and a Research Agenda on Interventions (2008)Sources of Method Bias in Social Science Research and Recommendations on How to Control It (2011)Common Method Bias in PLS-SEM (2015)The Nature of the Firm (1937)A resource‐based view of the firm (1984)The Relational View: Cooperative Strategy and Sources of Interorganizational Competitive Advantage (1998)Dynamic capabilities: what are they? (2000)The Theory of Economic Development (2003)Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance (2007)Markets and Hierarchies (1975)Social Capital, Intellectual Capital, and the Organizational Advantage (1998)Estimating Nonresponse Bias in Mail Surveys (1977)Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics (1981)Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework (2021)Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model (2023)The Impact of Digital Marketing on the Performance of SMEs: An Analytical Study in Light of Modern Digital Transformations (2024)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)When to use and how to report the results of PLS-SEM (2018)Blockchain adoption in accounting by an extended UTAUT model: empirical evidence from an emerging economy (2022)Understanding the Factors Influencing Higher Education Students’ Intention to Adopt Artificial Intelligence-Based Robots (2023)Treasure Hunting for Brands: Metaverse Marketing Gamification Effects on Purchase Intention, WOM, and Loyalty (2025)A General Approach to Confirmatory Maximum Likelihood Factor Analysis (1969)Intraclass Reliability Estimates: Testing Structural Assumptions (1974)Significance tests and goodness of fit in the analysis of covariance structures. (1980)On the Evaluation of Structural Equation Models (1988)The impact of culture and governance on corporate social reporting (2005)The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption (2016)Sample Size for Survey Research: Review and Recommendations (2020)A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 (2020)Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case (2020)Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak (2020)Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors (2014)Exploring artificial intelligence adoption in public organizations: a comparative case study (2022)
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References

  • 1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error113,385 cited
  • 2003Common method biases in behavioral research: A critical review of the literature and recommended remedies.84,999 cited
  • 1991Firm Resources and Sustained Competitive Advantage52,460 cited
  • 1997Dynamic capabilities and strategic management34,723 cited
  • 1970Determining Sample Size for Research Activities22,093 cited
  • 2011The Technology–Organization–Environment Framework1,430 cited
  • 2011Literature Review of Information Technology Adoption Models at Firm Level1,341 cited
  • 2019Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience1,004 cited
  • 2021Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation897 cited
  • 2021Evaluation of Reflective Measurement Models664 cited
  • 2023The impact of industry 4.0 on supply chain capability and supply chain resilience: A dynamic resource-based view395 cited
  • 2023ChatGPT and generative artificial intelligence: an exploratory study of key benefits and challenges in operations and supply chain management357 cited
  • 2023Evaluation of data analytics-oriented business intelligence technology effectiveness: an enterprise-level analysis178 cited

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  • 2024Big data and predictive analytics: A systematic review of applications158 cited
  • 2024Theoretical approaches to AI in supply chain optimization: Pathways to efficiency and resilience149 cited
  • 2022Impact of big data analytics on supply chain performance: an analysis of influencing factors140 cited
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