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Unleashing supply chain innovation and frugal innovation: examining the interaction between institutional pressures and supply chain analytics adoption
16 references·0 citing·45 second hop
Unleashing supply chain innovation and frugal innovation: examining the interaction between institutional pressures and supply chain analytics adoption (2025)Unleashing supply chain innovation and fr…Impact of artificial intelligence-driven big data analytics culture on agility and resilience in humanitarian supply chain: A practice-based view (2022)Impact of artificial intellig…Big Data Analytics in Sustainable Supply Chain Management: A Focus on Manufacturing Supply Chains (2021)Big Data Analytics in Sustain…Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence, sustainable manufacturing practices and circular economy capabilities (2020)Role of institutional pressur…How institutional pressures and managerial incentives elicit carbon transparency in global supply chains (2020)How institutional pressures a…Green innovation as a mediator in the impact of business analytics and environmental orientation on green competitive advantage (2020)Green innovation as a mediato…Big data supply chain analytics: ethical, privacy and security challenges posed to business, industries and society (2020)Big data supply chain analyti…Understanding supply chain analytics capabilities and agility for data-rich environments (2019)Understanding supply chain an…Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource‐Based View and Big Data Culture (2019)Big Data and Predictive Analy…How supply chain analytics enables operational supply chain transparency (2018)How supply chain analytics en…What is frugal innovation? Three defining criteria (2016)What is frugal innovation? Th…How the Use of Big Data Analytics Affects Value Creation in Supply Chain Management (2015)How the Use of Big Data Analy…Common Method Bias in PLS-SEM (2015)Common Method Bias in PLS-SEMPartial least squares structural equation modeling (PLS-SEM) (2014)Partial least squares structu…Dynamic capabilities and strategic management (1997)Dynamic capabilities and stra…The Iron Cage Revisited: Institutional Isomorphism and Collective Rationality in Organizational Fields (1983)The Iron Cage Revisited: Inst…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Evaluating Structural Equatio…The Method of Path Coefficients (1934)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Lateral Collinearity and Misleading Results in Variance-Based SEM: An Illustration and Recommendations (2012)The effect of green human resource management on hotel employees’ eco-friendly behavior and environmental performance (2018)Transformational leadership and employee performance: The role of identification, engagement and proactive personality (2018)PLS-SEM: Indeed a Silver Bullet (2011)A primer on partial least squares structural equation modeling (PLS-SEM) (2014)Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers (2014)When to use and how to report the results of PLS-SEM (2018)Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R (2021)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)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Debating big data: A literature review on realizing value from big data (2017)Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience (2019)Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation (2021)Qualitative Data Analysis: A Methods Sourcebook (1988)Research methods for business: A skill building approach (1993)The fortune at the bottom of the pyramid (2010)Frugal approach to innovation: State of the art and future perspectives (2017)Frugal innovation: A review and research agenda (2018)Mitigation Pathways Compatible with Long-term Goals (2023)Coefficient Alpha and the Internal Structure of Tests (1951)Firm Resources and Sustained Competitive Advantage (1991)Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations (2019)Mastering digital transformation: The nexus between leadership, agility, and digital strategy (2022)Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics (1981)Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model (2021)Do corporate social responsibility practices contribute to green innovation? The mediating role of green dynamic capability (2022)Linking circular economy and digitalisation technologies: A systematic literature review of past achievements and future promises (2022)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)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)A Natural-Resource-Based View of the Firm (1995)Managing Legitimacy: Strategic and Institutional Approaches (1995)Toward a Theory of Stakeholder Identification and Salience: Defining the Principle of Who and What Really Counts (1997)Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model (2023)Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability (2023)The impacts of Fintech adoption, green finance and competitiveness on banks’ sustainable performance: digital transformation as moderator (2024)
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References

  • 1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error113,385 cited
  • 1983The Iron Cage Revisited: Institutional Isomorphism and Collective Rationality in Organizational Fields40,020 cited
  • 1997Dynamic capabilities and strategic management34,723 cited
  • 2014Partial least squares structural equation modeling (PLS-SEM)13,038 cited
  • 2015Common Method Bias in PLS-SEM11,396 cited
  • 2020Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence, sustainable manufacturing practices and circular economy capabilities978 cited
  • 2019Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource‐Based View and Big Data Culture881 cited
  • 2015How the Use of Big Data Analytics Affects Value Creation in Supply Chain Management828 cited
  • 2016What is frugal innovation? Three defining criteria494 cited
  • 2022Impact of artificial intelligence-driven big data analytics culture on agility and resilience in humanitarian supply chain: A practice-based view403 cited
  • 2020Green innovation as a mediator in the impact of business analytics and environmental orientation on green competitive advantage337 cited
  • 2018How supply chain analytics enables operational supply chain transparency295 cited
  • 2019Understanding supply chain analytics capabilities and agility for data-rich environments

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247 cited
  • 2020How institutional pressures and managerial incentives elicit carbon transparency in global supply chains245 cited
  • 2020Big data supply chain analytics: ethical, privacy and security challenges posed to business, industries and society203 cited
  • 2021Big Data Analytics in Sustainable Supply Chain Management: A Focus on Manufacturing Supply Chains184 cited
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