Purpose: We observe the influence of Intellectual capital (IC) on innovation performance with the mediating role of inter-organizational learning (IOL) in the Pakistani automotive industry. Besides, industrial internet of things (IoT) technology is a moderating variable between IOL and innovation performance. Design/Methodology/Approach: Structural Equation Modeling (SEM) presents scholars with extra flexibility and enhanced research conclusions. SEM is described as a statistical methodology and the best tool used for hypothesis testing. We used Partial Least Square SEM for testing hypotheses. The simple random sampling technique was followed to collect data from respondents, and 492 questionnaires were used for analysis. Findings: The outcomes reveal that IC enhances innovation performance and IOL. Moreover, IOL increases innovation performance. IOL significantly mediates between IC and innovation performance. Industrial IoT technology improves innovation performance. Finally, industrial IoT technology strengthens the positive association between IOL and innovation performance. Practical Implications: Our study concentrates on how managers use IOL and industrial IoT technology to take higher advantage of IC, increasing innovation performance. Originality/Value: Our study initially built a theoretical framework to integrate IC, IOL, industrial IoT technology, and innovation performance. Although prior researchers observe the association between IC and innovation performance, less concentration was paid to understand the role of inter-organizational leadership and industrial IoT technology in leveraging organizational IC.

Nexus among Intellectual Capital, Inter-organizational Learning, Industrial Internet of Things Technology, and Innovation Performance: A Resource-Based Perspective”

Bresciani, Stefano;GIACOSA, Elisa;
2023-01-01

Abstract

Purpose: We observe the influence of Intellectual capital (IC) on innovation performance with the mediating role of inter-organizational learning (IOL) in the Pakistani automotive industry. Besides, industrial internet of things (IoT) technology is a moderating variable between IOL and innovation performance. Design/Methodology/Approach: Structural Equation Modeling (SEM) presents scholars with extra flexibility and enhanced research conclusions. SEM is described as a statistical methodology and the best tool used for hypothesis testing. We used Partial Least Square SEM for testing hypotheses. The simple random sampling technique was followed to collect data from respondents, and 492 questionnaires were used for analysis. Findings: The outcomes reveal that IC enhances innovation performance and IOL. Moreover, IOL increases innovation performance. IOL significantly mediates between IC and innovation performance. Industrial IoT technology improves innovation performance. Finally, industrial IoT technology strengthens the positive association between IOL and innovation performance. Practical Implications: Our study concentrates on how managers use IOL and industrial IoT technology to take higher advantage of IC, increasing innovation performance. Originality/Value: Our study initially built a theoretical framework to integrate IC, IOL, industrial IoT technology, and innovation performance. Although prior researchers observe the association between IC and innovation performance, less concentration was paid to understand the role of inter-organizational leadership and industrial IoT technology in leveraging organizational IC.
2023
2
20
Intellectual Capital; Inter-organizational Leadership; Industrial IoT Technology; Innovation Performance; Resource Based-View Theory
Rehman, Shafique Ur; Ashfaq, Khurram; Bresciani, Stefano; GIACOSA, Elisa; Mueller, Jens,
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1823070
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