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Tech innovation! Industry 4.0 enablers and management initiative on innovation performance: a moderation model

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dc.title Tech innovation! Industry 4.0 enablers and management initiative on innovation performance: a moderation model en
dc.contributor.author Rehman, Shafique Ur
dc.contributor.author Gavurová, Beáta
dc.contributor.author Bresciani, Stefano
dc.contributor.author Zhang, Qingyu
dc.relation.ispartof International Entrepreneurship and Management Journal
dc.identifier.issn 1554-7191 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.issn 1555-1938 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2024
dc.type article
dc.language.iso en
dc.publisher Springer
dc.identifier.doi 10.1007/s11365-024-00994-2
dc.relation.uri https://link.springer.com/article/10.1007/s11365-024-00994-2
dc.relation.uri https://link.springer.com/content/pdf/10.1007/s11365-024-00994-2.pdf
dc.subject blockchain technology utilization en
dc.subject industrial internet-of-things en
dc.subject resource-based management initiatives en
dc.subject organizational resilience en
dc.subject risk-taking tolerance en
dc.subject innovation performance en
dc.description.abstract This study examines the influence of Blockchain technology utilization (BTU), industrial internet-of-things (IoT), and resource-based management initiatives (RBMI) on innovation performance with the mediating role of organizational resilience in light of the resource-based view (RBV). Moreover, risk-taking tolerance is used as a moderator between organizational resilience and innovation performance. The Partial Least Square Structural Equation Modeling (PLS-SEM) technique was used to analyze the results. A simple random sampling technique was used to collect data from respondents. A total of 437 questionnaires were collected from the Pakistani automotive industry and used for final analysis. The finding reveals that industrial IoT and RBMI positively relate to organizational resilience and innovation performance. In contrast, BTU does not influence innovation performance but positively influences organizational resilience. Organizational resilience positively related to innovation performance. Organizational resilience significantly mediates between BTU, industrial IoT, RBMI, and innovation performance. Finally, risk-taking tolerance strengthens the relationship between organizational resilience and innovation performance. This research focuses on how management utilizes BTU, industrial IoT, RBMI, organizational resilience, and risk-taking tolerance in decision-making to examine innovation performance. This research initially develops a research model to incorporate BTU, industrial IoT, RBMI, organizational resilience, risk-taking tolerance, and innovation performance in RBV perspectives. Academicians, practitioners, and management can benefit from study results. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1012075
utb.identifier.scopus 2-s2.0-85195150736
utb.identifier.wok 001235463700002
utb.source j-scopus
dc.date.accessioned 2024-10-22T08:18:31Z
dc.date.available 2024-10-22T08:18:31Z
dc.description.sponsorship National Office for Philosophy and Social Sciences, NPOPSS, (21AGL014); National Office for Philosophy and Social Sciences, NPOPSS; Science, Technology and Innovation Commission of Shenzhen Municipality, (JCYJ20210324093208022); Science, Technology and Innovation Commission of Shenzhen Municipality; Shenzhen University Humanitiesand Social Sciences High-level Innovation Team Project for Leading Scholars, (24LJXZ06)
utb.ou Center for Applied Economic Research
utb.contributor.internalauthor Gavurová, Beáta
utb.fulltext.sponsorship This research was supported by Key Project of National Social Science Foundation of China (21AGL014); Shenzhen Science and Technology Program (JCYJ20210324093208022); Shenzhen University Humanitiesand Social Sciences High-level Innovation Team Project for Leading Scholars(24LJXZ06).
utb.wos.affiliation [Rehman, Shafique Ur; Zhang, Qingyu] Shenzhen Univ, Res Inst Business Analyt & Supply Chain Management, Coll Management, Shenzhen, Peoples R China; [Gavurova, Beata] Tomas Bata Univ Zlin, Fac Management & Econ, Ctr Appl Econ Res, Mostni 5139, Zlin 76001, Czech Republic; [Bresciani, Stefano] Univ Torino, Dept Management, Corso Unione Soviet,218 bis, I-10134 Turin, Italy; [Bresciani, Stefano] Univ Nicosia, Gnosis Mediterranean Inst Management Sci, Sch Business, CY-2417 Nicosia, Cyprus
utb.scopus.affiliation Research Institute of Business Analytics and Supply Chain Management, College of Management, Shenzhen University, Shenzhen, China; Center for Applied Economic Research, Faculty of Management and Economics, Tomas Bata University in Zlin, Mostni 5139, Zlin, 760 01, Czech Republic; Department of Management, University of Torino, Corso Unione Sovietica, 218 bis, Torino, 10134, Italy; Gnosis: Mediterranean Institute for Management Science, School of Business, University of Nicosia, Nicosia, 2417, Cyprus
utb.fulltext.projects 21AGL014
utb.fulltext.projects JCYJ20210324093208022
utb.fulltext.projects 24LJXZ06
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