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Assessing retailer readiness to use blockchain technology to improve supply chain performance
Journal of Enterprise Information Management ( IF 7.4 ) Pub Date : 2022-12-27 , DOI: 10.1108/jeim-07-2022-0242
Abhishek Behl , Nirma Sadamali Jayawardena , Vijay Pereira , Brinda Sampat

Purpose

This paper aims to assess the readiness of retail workers to use blockchain technology (BCT) to improve supply chain performance. The assessment was made via a quantitative approach taken using a theoretical framework based on Keller’s motivation model and self-determination theory in the BCT context.

Design/methodology/approach

The authors collected data from 567 retail workers from an emerging country through a structured survey questionnaire. The authors tested the hypotheses of the proposed model using Warp PLS 7.0 and controlled firm age, industry type and technological intensity.

Findings

Our findings may help firms in making the process of digital transformation inclusive. The authors found that supplier-based attention and motivation through BCT lead to supply chain performance, and that supplier-based satisfaction and trust achieved through BCT positively impact supply chain performance. Further, supplier-based relevance on raw material selection with the higher trust and motivation levels achieved through BCT was found to have a positive impact on supply chain performance.

Research limitations/implications

IT supply chain applications are referred to as “lean” rather than “rich” because they still rely mainly on written and numerical means to present data. When the environment is less ambiguous, then less rich media can be used to facilitate communication. IT supply chain applications allow suppliers to spend time building relationships with other suppliers instead of focusing on administrative tasks, thus enhancing such relationships.

Originality/value

This study can be considered the first to assess retailer readiness to use BCT to improve supply chain performance through the theoretical lens of Keller’s motivation model and self-determination theory.



中文翻译:

评估零售商使用区块链技术改善供应链绩效的准备情况

目的

本文旨在评估零售工人使用区块链技术(BCT)来提高供应链绩效的准备情况。评估是通过定量方法进行的,该方法使用基于凯勒动机模型和 BCT 背景下的自我决定理论的理论框架。

设计/方法论/途径

作者通过结构化调查问卷收集了来自新兴国家 567 名零售员工的数据。作者使用 Warp PLS 7.0 测试了所提出模型的假设,并控制了公司年龄、行业类型和技术强度。

发现

我们的研究结果可能有助于企业实现数字化转型过程的包容性。作者发现,通过 BCT 实现的基于供应商的关注和动机会提高供应链绩效,而通过 BCT 实现的基于供应商的满意度和信任会对供应链绩效产生积极影响。此外,通过 BCT 实现的基于供应商的原材料选择相关性以及更高的信任和激励水平被发现对供应链绩效产生积极影响。

研究局限性/影响

IT供应链应用被称为“精益”而不是“丰富”,因为它们仍然主要依靠书面和数字手段来呈现数据。当环境不那么模糊时,可以使用更少的富媒体来促进沟通。 IT供应链应用程序允许供应商花时间与其他供应商建立关系,而不是专注于管理任务,从而增强这种关系。

原创性/价值

这项研究可以被认为是第一个通过凯勒动机模型和自我决定理论的理论视角来评估零售商是否准备使用 BCT 来提高供应链绩效的研究。

更新日期:2022-12-27
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