服务供应链研究:基于业务流程的概念模型

IF 3.4 Q2 MANAGEMENT Journal of Industrial Integration and Management-Innovation and Entrepreneurship Pub Date : 2019-08-07 DOI:10.1142/S2424862219500076

Rongyao Zhang, Kan Wang

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引用次数: 3

摘要

当经济从有形制造业转向无形服务业时，了解制造业的经验教训是否可以直接应用于服务供应链是非常重要的。本文旨在比较传统制造业和服务供应链部门，结果强调这两个部门之间确实存在相似和差异-表明一个部门有效的供应链战略可能不适用于另一个部门。基于服务的独特性，本研究构建了服务供应链的概念模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Service Supply Chain Research: A Conceptual Model Based on Business Processes

When economy transfers from tangible manufacturing to intangible services, it is extremely important to understand whether the lessons learned from manufacturing industries can be directly applied to service supply chains. This paper aims to compare traditional manufacturing industries with service supply chain sector and the results emphasize that the similarities and differences do exist between these two sectors — demonstrating that effective supply chain strategies in one sector may not be appropriate in the other sector. Based on the unique characteristics of service, this study builds a conceptual model of service supply chain.

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来源期刊

Journal of Industrial Integration and Management-Innovation and Entrepreneurship MANAGEMENT-

CiteScore

17.00

自引率

16.70%

发文量

期刊介绍： The Journal of Industrial Integration and Management: Innovation & Entrepreneurship concentrates on the technological innovation and entrepreneurship within the ongoing transition toward industrial integration and informatization. This journal strives to offer insights into challenges, issues, and solutions associated with industrial integration and informatization, providing an interdisciplinary platform for researchers, practitioners, and policymakers to engage in discussions from the perspectives of innovation and entrepreneurship. Welcoming contributions, The Journal of Industrial Integration and Management: Innovation & Entrepreneurship seeks papers addressing innovation and entrepreneurship in the context of industrial integration and informatization. The journal embraces empirical research, case study methods, and techniques derived from mathematical sciences, computer science, manufacturing engineering, and industrial integration-centric engineering management.