From value chain, supply network, towards business ecosystem (BE): Evaluating the BE concept's implications to emerging industrial demand

Rong, Ke; Hou, Jie; Shi, Yongjiang; Lu, Qiang

doi:10.1109/ieem.2010.5674561

Cited by 12 publications

(8 citation statements)

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“…Amazon ecosystem [14]; Cisco ecosystem [15]; Intelligent Mobile Terminals [16]; the mobile network operators [17]; cases in high tech industry [18]), on the strategies of coopetition [19][20][21], value created [22], enablers (standardization [23]; timing [24]; IT [25]), problems of trust, information asymmetry and coordination [26][27][28], knowledge sharing [29], on a or on the links with biology and other sciences. Finally, some papers discuss the evolution from a value chain view to a BE view [30,31].…”

Section: Business Ecosystemsmentioning

confidence: 99%

Methodology of business ecosystems network analysis: A case study in Telecom Italia Future Centre

Battistella

Colucci

Toni

et al. 2013

Technological Forecasting and Social Change

113

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Section: Business Ecosystemsmentioning

confidence: 99%

Methodology of business ecosystems network analysis: A case study in Telecom Italia Future Centre

Battistella

Colucci

Toni

et al. 2013

Technological Forecasting and Social Change

113

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“…Other business researchers have acknowledged the importance of studying the interrelationships of the local cluster of supporting firms and competing at the supply chain level rather than focusing on a single firm (Rice and Hoppe, ; Porter and Kramer, ). Also some researchers have used the Business Ecosystem metaphor to described how firms can cooperate to create value in new ways by playing a variety of roles in complex supply chains (Iansiti and Levien, ; Adner, ) or to examine emerging industrial structures (Rong et al , ).…”

Section: A Consideration Of Observational Design Decisions In the Thementioning

confidence: 99%

A Systematic Consideration of Observational Design Decisions in the Theory Construction Process

Shaw

Allen

2012

Syst. Res.

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The aim of this paper is to develop an explicit protocol for gaining the use of new concepts from external and transdisciplinary sources during the theory construction process. We are concerned with Churchman's ‘sweeping in’ of alternative perspectives and with inductive research. The potential for innovation that concepts from external disciplines bring is balanced by the risks of working outside a researcher's area of expertise. There is potential for researcher bias when gathering new ideas as well as when filtering possible new theory, and a protocol might help minimize such problems. For example, few business researchers are fully versed in ecology, and vice versa. This applies to the authors here, but we look at the issue from our respective sides and bring our respective expertise. Hierarchy theory is fundamentally a theory of observation. Here it helps us to define how the perspective of the researcher affects theory construction and the use of transdisciplinary concepts. It introduces a precision about the use of levels and brings out the dualism that arises in movement between levels. We use this to develop a theoretical model of the theory‐building process that avoids bias whilst making best use of the researcher's preconceptions. We illustrate our protocol using the business ecosystem metaphor, which is common in the business literature. Our special case that straddles business and ecology might offer guidance in other transdisciplinary efforts. Copyright © 2012 John Wiley & Sons, Ltd.

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“…A business ecosystem forms the context in which a business model evolves and is defined as an inter-dependent community including direct partners, universities, government and NGOs, who co-evolve and share similar fates (Moore, 1993;Iansiti and Levien, 2004;Adner and Kapoor, 2010;Gawer and Cusumano, 2014;Rong et al, 2015a;de Vasconcelos Gomes et al, 2016). The business ecosystem approach (Moore, 2006;Liu and Rong, 2015;Rong et al, 2015bRong et al, , 2010) was proposed to initiate, identify and integrate stakeholders to build value within a system. This value is appropriated from some exchange between two or more interdependent groups, usually consumers and producers, through a dynamic framework normally identified as a business model.…”

Section: Introductionmentioning

confidence: 99%

Business models dynamics and business ecosystems in the emerging 3D printing industry

Rong

Patton

Chen

2018

Technological Forecasting and Social Change

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This paper explores the relationships that exist between business models and ecosystems evolving in the 3D printing industry using qualitative evidence drawn from three countries: China, UK and USA. In particular, this research proposes that it is important to understand the process of business model dynamics and formulation and how the associated ecosystem evolves alongside this process to support its development. In studying the dynamics of business models in the 3D printing sector, this research identifies a three-stage process, 'initiation', 'execution' and 'extension', and suggests three capabilities that enable the development of the model, namely, 'scalability', 'flexibility' and 'extensibility'. In addition, it is suggested that the structure of the business ecosystem (product based, platform based, or some combination) influences the potential impact that these capabilities can have on business model development. These findings have implications for those organisations seeking to develop business models and ecosystems around emerging technologies, for practitioners involved in the development and extension of business models, and for academics seeking to evaluate policy and practice within this field.

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From value chain, supply network, towards business ecosystem (BE): Evaluating the BE concept's implications to emerging industrial demand

Cited by 12 publications

References 1 publication

Methodology of business ecosystems network analysis: A case study in Telecom Italia Future Centre

Methodology of business ecosystems network analysis: A case study in Telecom Italia Future Centre

A Systematic Consideration of Observational Design Decisions in the Theory Construction Process

Business models dynamics and business ecosystems in the emerging 3D printing industry

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