This study aims to investigate the hierarchical relationship between industry-specific attributes of supply chain (SC) strategies and information technology (IT) to improve the performance of firms in textile industry in Pakistan.
This study presents a mix of enablers through literature review and experts’ opinions. Next, the driving and dependence powers of enablers were identified, using the interpretive structural modeling (ISM) approach.
The ISM model suggests eight levels, with customer satisfaction at the top of the model. Process automation and TQM are placed at second and third level, respectively, whereas flexible sourcing and flexible capacity are positioned at fourth level. The key enablers of IT have high driving power, hence positioned at the bottom of ISM model.
This study has value for firms in garment manufacturing and exporting industry to invest into IT and sustainable SC design for competitive performance. The theoretical and managerial implications are provided.
This research is partly supported by the NSFC under Grants 71931009 and 71671023, in part by the Foundation for Innovative Research Groups of NSFC under Grant 71421001.
Irfan, M., Wang, M., Zafar, A.U., Shahzad, M. and Islam, T. (2021), "Modeling the enablers of supply chain strategies and information technology: improving performance through TISM approach", VINE Journal of Information and Knowledge Management Systems, Vol. 51 No. 3, pp. 461-491. https://doi.org/10.1108/VJIKMS-06-2019-0082
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