From data to value: conceptualising data-driven product service system

IF 6.1 3区管理学 Q1 ENGINEERING, INDUSTRIAL

Production Planning & Control Pub Date : 2021-03-29 DOI:10.1080/09537287.2021.1903113

M. Zambetti, F. Adrodegari, G. Pezzotta, R. Pinto, M. Rapaccini, Cosimo Barbieri

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引用次数: 16

Abstract

Abstract With the rise of digital technologies, the possibility to retrieve a large amount of data from connected sources can become a key source of value creation in the context of service provision. Nevertheless, product service offerings that can be built on data retrieved from connected products, that we will call data-driven product service system, remains poorly covered from both the academic and the practitioners’ perspectives. Notably, a univocal definition of the characteristics of data-driven product service system is still missing. Therefore, this paper represents a first attempt in the systematic definition of data-driven services types and their features as a fundamental step to support their understanding and development. To accomplish this aim, the paper proposes a holistic view of data-driven product service system characteristics, employing a two-level hierarchical conceptual framework for business to business applications. The framework is constructed with a theory-building approach involving multiple industrial companies. The paper eventually reports a case study to demonstrate the applicability of the framework.

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从数据到价值:概念化数据驱动的产品服务体系

随着数字技术的兴起，从连接的来源中检索大量数据的可能性可以成为服务提供背景下价值创造的关键来源。然而，从学术界和实践者的角度来看，可以建立在从连接产品检索到的数据上的产品服务产品，我们称之为数据驱动的产品服务系统，仍然很少被覆盖。值得注意的是，对于数据驱动型产品服务体系的特征，目前还缺乏一个明确的定义。因此，本文代表了对数据驱动服务类型及其特征进行系统定义的第一次尝试，作为支持其理解和开发的基本步骤。为了实现这一目标，本文提出了数据驱动产品服务系统特征的整体视图，为企业对企业应用采用了两级分层概念框架。该框架是通过涉及多个工业公司的理论构建方法构建的。最后，本文报告了一个案例研究来证明该框架的适用性。

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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来源期刊

Production Planning & Control 管理科学-工程：工业

CiteScore

19.30

自引率

9.60%

发文量

审稿时长

6-12 weeks

期刊介绍： Production Planning & Control is an international journal that focuses on research papers concerning operations management across industries. It emphasizes research originating from industrial needs that can provide guidance to managers and future researchers. Papers accepted by "Production Planning & Control" should address emerging industrial needs, clearly outlining the nature of the industrial problem. Any suitable research methods may be employed, and each paper should justify the method used. Case studies illustrating international significance are encouraged. Authors are encouraged to relate their work to existing knowledge in the field, particularly regarding its implications for management practice and future research agendas.