Title: Developing a framework of sustainable technology footprint enablers in inter- and intra-organisational integrated supply chain transparency and traceability: using fuzzy ISM approach

Authors: Mukesh Kumar

Addresses: Mechanical Engineering Department, National Institute of Technology, Kurukshetra, Haryana, 136119, India

Abstract: The recent era of inter- and intra-organisational are facing the challenges of lack of integrated SC transparency and traceability (ISCTAT) concerns in global COVID-19 pandemic situations. The readiness of inter-organisational keen to gain the strategic competitive advantages through transparency and traceability aspects encompasses in inter- and intra-organisational sustainability. Sustainable technology footprint enablers (STFEs) selection is based on transparency aspects needs in inter- and intra-organisational adoption decisions. Sustainable SCM are governed through upstream integration of supplier's visibility and traceability by STF-enablers adaptations as well as downstream integration to decouple the techno-feasibility quality responsiveness for efficient consumer response (ECR). The framework of STF-enabler's selection decisions has based on integration SC transparency and traceability responsiveness in inter- and intra-organisational sustainability by fuzzy-ISM approach. Fuzzy MICMAC analysis helps to evaluate the autonomous, linkages, independent and dependent enabler's relationship with sustainable technology-feasibility driven in inter- and intra-organisational relationship with ISCTAT. The objectives are subjected to identify the STF-enablers and transparency aspects into inter- and intra-organisational from ISCTATA. The architecture design of structure matrix of STFEs in inter- and intra-organisational transparency aspects in sustainable SCM. It explores the relationship among the driving and dependence power in STF-enablers potential inter- and intra-organisational from ISCTAT.

Keywords: SC transparency and traceability; integrated SC; blockchain; supply chain management; SCM.

DOI: 10.1504/IJBPSCM.2023.136601

International Journal of Business Performance and Supply Chain Modelling, 2023 Vol.14 No.4, pp.369 - 398

Received: 11 Sep 2021
Received in revised form: 17 Jul 2022
Accepted: 02 Aug 2022
Published online: 08 Feb 2024 *

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