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Open AccessJournal ArticleDOI

Servitization: Disentangling the impact of service business model innovation on manufacturing firm performance

TLDR
In this paper, the authors analyzed the value creation and value appropriation processes of 44 national subsidiaries of a global manufacturing firm turned product-service provider, in the 2001-2007 period, and found that the firm under study is able to successfully transcend the inherent substitution of products by services and to enact complementary sales dynamics between the two activities.
About
This article is published in Journal of Operations Management.The article was published on 2013-05-01 and is currently open access. It has received 584 citations till now. The article focuses on the topics: Service (business) & Profitability index.

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Fifteen years of research on business model innovation : how far have we come, and where should we go?

TL;DR: In this paper, the emerging business model innovation literature addresses an importa-tation of business models to management research and among practitioners, and the emerging BMI literature addresses the importa...
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Service Research Priorities in a Rapidly Changing Context

TL;DR: In this article, the authors engaged in an international and interdisciplinary research effort to identify research priorities that have the potential to advance the service field and benefit customers, organizations, and society.
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Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0

TL;DR: In this article, the authors analyze how Industry 4.0 triggers changes in the business models of manufacturing SMEs (small and medium-sized enterprises), by conducting a qualitative research with a sample of 68 German SMEs from three industries (automotive suppliers, mechanical and plant engineering, as well as electrical engineering and ICT).
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Servitization and Industry 4.0 convergence in the digital transformation of product firms: A business model innovation perspective

TL;DR: This work develops a conceptual framework that connects Servitization and Industry 4.0 concepts from a business model innovation (BMI) perspective and discusses different levels of complexity for the implementation of these configurations.
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Servitization: revisiting the state-of-the-art and research priorities

TL;DR: In this article, the authors consolidate the servitization knowledge base from an organizational change perspective, identifying developed, developing and undeveloped topics to provide a platform that directs future research.
References
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Journal ArticleDOI

The estimation of economic relationships using instrumental variables

John Denis Sargan
- 01 Jul 1958 - 
TL;DR: In this article, the asymptotic error variance matrix for the coefficients of one of the relationships is obtained in the case in which these relationships are estimated using instrumental variables, and the problem of choice that arises when there are more instrumental variables available than the minimum number required to enable the method to be used is discussed.
Posted Content

The Economics of Modern Manufacturing: Technology, Strategy, and Organization

TL;DR: In this article, the authors present a model of a flexible multiproduct firm that emphasizes quality and speedy response to market conditions while utilizing technologically advanced equipment and new forms of organization.
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Complementarities and fit strategy, structure, and organizational change in manufacturing

TL;DR: The theories of supermodular optimization and games provide a framework for the analysis of systems marked by complementarity and are used to analyze the characteristic features of the Lincoln Electric Company's strategy and structure.
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Business Model Design: An Activity System Perspective

TL;DR: This work conceptualizes a firm's business model as a system of interdependent activities that transcends the focal firm and spans its boundaries and suggests two sets of parameters that activity systems designers need to consider: design elements and design themes that describe the architecture of an activity system.
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Estimation of Dynamic Models with Error Components

TL;DR: In this paper, observations on N cross-section units at T time points are used to estimate a simple statistical model involving an autoregressive process with an additive term specific to the unit.
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