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      Factors affecting blockchain adoption in apparel supply chains: does sustainability-oriented supplier development play a moderating role?

      , , ,
      Industrial Management & Data Systems
      Emerald

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          Abstract

          Purpose

          The purpose of this study is to investigate the factors affecting the intention to adopt blockchain technology (BT) in operations and supply chain and to explore the moderating role of sustainability-oriented supplier development on the effects studied.

          Design/methodology/approach

          The authors developed a conceptual framework based on the integration of technology-organization-environment (TOE) framework and diffusion of innovation (DOI) theory along with several strands of the literature in supply chain management and information systems. Drawing on survey data from 412 supply firms, a novel model using partial least squares structural equation modeling (PLS-SEM) was empirically tested in the context of the apparel industry of Bangladesh – the world's second-largest apparel supplier nation.

          Findings

          The findings supported the theoretical framework developed. In particular, the findings suggested that supplier firms' intention to adopt blockchain in supply chains is influenced by relative advantage, compatibility, perceived trust, top management considerations, absorptive capacity, information sharing and collaborative culture, and trading partners' influence. However, regulatory support is yet to play a significant role in blockchain adoption behaviour. The findings also suggest that supplier development for sustainability significantly moderates the relationship between the several drivers' (e.g. relative advantage, compatibility, top management considerations and trading partners' influence) effects on blockchain adoption.

          Practical implications

          The findings could help in developing an enabling environment for introducing blockchain-based apparel operations and supply chains.

          Originality/value

          The study contributes to and expands the embryonic research stream of sustainable supply chain management and BT. In particular, the paper provides neoteric evidence on how supplier development towards achieving sustainability moderates the effects of organizational, technological, and environmental drivers on the intention to adopt BT.

          Related collections

          Most cited references111

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          Common method biases in behavioral research: A critical review of the literature and recommended remedies.

          Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.
            Bookmark
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            • Article: not found

            Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

              Bookmark
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              Absorptive Capacity: A New Perspective on Learning and Innovation

                Bookmark

                Author and article information

                Contributors
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                Journal
                Industrial Management & Data Systems
                IMDS
                Emerald
                0263-5577
                April 20 2022
                May 16 2022
                April 20 2022
                May 16 2022
                : 122
                : 5
                : 1183-1214
                Article
                10.1108/IMDS-07-2021-0466
                b149d8f7-a1b0-4e9f-82c6-9778fdb1ea0f
                © 2022

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