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Impact of information technology resources on environmental performance: mediating role of internal green supply chain integration

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Background: Information technology (IT) resources can play an important role in helping firms overcome the environmental issues they face by facilitating green supply chain management. This study examines the relationship between IT resources, specifically IT infrastructure resources, IT human resources and IT relationship resources, and the environmental performance of textile firms. Further, the study examines the mediating role of green supply chain integration on this relationship. Methods: The study collected data from 512 executives working in the textile sector in the Punjab province of Pakistan, where green supply chain integration is being practiced. Smart PLS has been used for estimation results. Results: The results of the study show that IT resources in the form of IT infrastructure resources, IT human resources and IT relationship resources have a significant association with the environmental performance of firms. Likewise, structural equation modeling (SEM) confirms that green supply chain integration mediates this relationship. Conclusions: The results of the study demonstrate that the improvement of IT resources can help companies achieve their environmental performance targets. Likewise, the results also suggest that companies should work on achieving green supply chain integration as it can improve their environmental performance.
Czasopismo
Rocznik
Strony
211--223
Opis fizyczny
Bibliogr. 43 poz., rys., tab.
Twórcy
  • Faculty of Management Sciences, Riphah International University, Islamabad, Pakistan
autor
  • Military College of Signals, National University of Science and Technology, Islamabad, Pakistan
  • MS Scholar, Faculty of Management Sciences, Riphah International University, Islamabad, Pakistan
  • Armed Forces Post Graduate Medical Institute, National University of Medical Sciences, Rawalpindi, Pakistan
Bibliografia
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  • 5. Du, L., Zhang, Z., & Feng, T. (2018). Linking green customer and supplier integration with green innovation performance: The role of internal integration. Business Strategy and the Environment, 27(8), 1583-1595. https://doi.org/10.1002/bse.2223
  • 6. Ersoy, P., Börühan, G., Kumar Mangla, S., Hormazabal, J. H., Kazancoglu, Y., & Lafcı, Ç. (2022). Impact of information technology and knowledge sharing on circular food supply chains for green business growth. Business Strategy and the Environment. https://doi.org/10.1002/bse.2988
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  • 8. Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). SAGE Publications.
  • 9. Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Mediation analysis. In Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R (pp. 139-153). Springer, Cham. https://doi.org/10.1007/978-3-030-80519-7_7
  • 10. Hair, J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107-123. http://doi.org/ 10.1504/IJMDA.2017.10008574
  • 11. Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152. http://doi.org/10.2753/MTP1069-6679190202
  • 12. Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long Range Planning, 46(1-2), 1-12. https://doi,org/ 10.1016/j.lrp.2013.01.001
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  • 14. Jena, S. K., & Ghadge, A. (2021). An integrated supply chain–human resource management approach for improved supply chain performance. The International Journal of Logistics Management, 32(3), 918-941. https://doi.org/10.1108/IJLM-03-2020-0151
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  • 17. Jing, F. (2021). The Analysis of Computer Aided Design and Software Application in Textile industry. Journal of Physics: Conference Series https://doi.org/10.1088/ 1742-6596/1952/4/042068
  • 18. Kalyar, M. N., Shoukat, A., & Shafique, I. (2019). Enhancing firms’ environmental performance and financial performance through green supply chain management practices and institutional pressures. Sustainability Accounting, Management and Policy Journal. http://doi.org/10.1108/ SAMPJ-02-2019-0047
  • 19. Kurniawan, T. A., Othman, M. H. D., Liang, X., Goh, H. H., Gikas, P., Kusworo, T. D., ... & Chew, K. W. (2023). Decarbonization in waste recycling industry using digitalization to promote net-zero emissions and its implications on sustainability. Journal of Environmental Management, 338, 117765. https://doi.org/10.1016/j.jenvman.2023.117765
  • 20. Li, J. (2022). Can technology-driven cross-border mergers and acquisitions promote green innovation in emerging market firms? Evidence from China. Environmental Science and Pollution Research, 29(19), 27954-27976. https://doi.org/10.1007/ s11356-021-18154-2
  • 21. Li, L., Wang, Z., & Zhao, X. (2022). Configurations of financing instruments for supply chain cost reduction: evidence from Chinese manufacturing companies. International Journal of Operations & Production Management(ahead-of-print). http://dx.doi.org/10.1108/IJOPM-12-2021-0755
  • 22. Lin, H. F. (2022). IT resources and quality attributes: The impact on electronic green supply chain management implementation and performance. Technology in Society, 68, 101833. https://doi.org/10.1016/j.techsoc. 2021.101833
  • 23. Lo, S. M., Zhang, S., Wang, Z., & Zhao, X. (2018). The impact of relationship quality and supplier development on green supply chain integration: A mediation and moderation analysis. Journal of Cleaner Production, 202, 524-535. https://doi.org/ 10.1016/j.jclepro.2018.08.175
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  • 27. Pattnaik, S. K., Samal, S. R., Bandopadhaya, S., Swain, K., Choudhury, S., Das, J. K., ... & Poulkov, V. (2022). Future wireless communication technology towards 6g IoT: an application-based analysis of IoT in real-time location monitoring of employees inside underground mines by using BLE. Sensors, 22(9), 3438. https://doi.org/ 10.3390/s22093438
  • 28. Popa, S., Soto-Acosta, P., & Palacios-Marqués, D. (2021). A discriminant analysis of high and low-innovative firms: the role of IT, human resources, innovation strategy, intellectual capital and environmental dynamism. Journal of Knowledge Management. http://doi.org/10.1108/JKM-04-2021-0272
  • 29. Raut, R. D., Mangla, S. K., Narwane, V. S., Dora, M., & Liu, M. (2021). Big Data Analytics as a mediator in Lean, Agile, Resilient, and Green (LARG) practices effects on sustainable supply chains. Transportation Research Part E: Logistics and Transportation Review, 145, 102170. https://doi.org/10.1016/j.tre.2020.102170
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  • 39. Tran, M., Phan, T., Ha, H., & Hoang, T. (2020). The impact of supply chain quality integration on green supply chain management and environmental performance in Vietnam’s tourism industries. Uncertain Supply Chain Management, 8(4), 693-704. http://doi.org/10.5267/j.uscm.2020.8.003
  • 40. Wang, Y., Chen, Y., & Benitez-Amado, J. (2015). How information technology influences environmental performance: Empirical evidence from China. International Journal of Information Management, 35(2), 160-170. https://doi. org/10.1016/j.ijinfomgt.2014.11.005
  • 41. Wang, Q.-J., Wang, H.-J., & Chang, C.-P. (2022). Environmental performance, green finance and green innovation: What's the long-run relationships among variables? Energy Economics, 110, 106004. http://doi.org/10.1016/j.eneco.2022.106004
  • 42. Waqas, M., Honggang, X., Ahmad, N., Khan, S. A. R., & Iqbal, M. (2021). Big data analytics as a roadmap towards green innovation, competitive advantage and environmental performance. Journal of Cleaner Production, 323, 128998. https://doi.org/ 10.1016/j.jclepro.2021.128998
  • 43. Yuan, H., TAO, H., JIANG, X., & Zhang, J. (2021). Information technology integration and the competitiveness of textile industry in China. Industria Textila, 72(4), 426-433. https://doi.org/10.35530/IT.072.04.1715
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-af3370b2-df41-46c5-9546-38597eb0e6b3
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