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

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  • Rong, Ke
  • Patton, Dean
  • Chen, Weiwei

Abstract

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.

Suggested Citation

  • Rong, Ke & Patton, Dean & Chen, Weiwei, 2018. "Business models dynamics and business ecosystems in the emerging 3D printing industry," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 234-245.
    • Handle: RePEc:eee:tefoso:v:134:y:2018:i:c:p:234-245
    DOI: 10.1016/j.techfore.2018.06.015
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    3. Kapoor, Kawaljeet & Ziaee Bigdeli, Ali & Dwivedi, Yogesh K. & Schroeder, Andreas & Beltagui, Ahmad & Baines, Tim, 2021. "A socio-technical view of platform ecosystems: Systematic review and research agenda," Journal of Business Research, Elsevier, vol. 128(C), pages 94-108.
    4. Chin, Tachia & Shi, Yi & Singh, Sanjay Kumar & Agbanyo, George Kwame & Ferraris, Alberto, 2022. "Leveraging blockchain technology for green innovation in ecosystem-based business models: A dynamic capability of values appropriation," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    5. Rong, Ke & Li, Boyi & Peng, Wan & Zhou, Di & Shi, Xinwei, 2021. "Sharing economy platforms: creating shared value at a business ecosystem level," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    6. Mariusz Salwin & Ilona Jacyna-Gołda & Andrzej Kraslawski & Aneta Ewa Waszkiewicz, 2022. "The Use of Business Model Canvas in the Design and Classification of Product-Service Systems Design Methods," Sustainability, MDPI, vol. 14(7), pages 1-23, April.
    7. Marić, Josip & Opazo-Basáez, Marco & Vlačić, Božidar & Dabić, Marina, 2023. "Innovation management of three-dimensional printing (3DP) technology: Disclosing insights from existing literature and determining future research streams," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    8. Phillips, Mark A. & Ritala, Paavo, 2019. "A complex adaptive systems agenda for ecosystem research methodology," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    9. Haessler, Philipp & Giones, Ferran & Brem, Alexander, 2023. "The who and how of commercializing emerging technologies: A technology-focused review," Technovation, Elsevier, vol. 121(C).
    10. Lorena Espina-Romero & Jesús Guerrero-Alcedo & José Gregorio Noroño Sánchez & Angélica Ochoa-Díaz, 2022. "What Are the Topics That Business Ecosystems Navigate? Updating of Scientific Activity and Future Research Agenda," Sustainability, MDPI, vol. 14(23), pages 1-14, December.
    11. Friedrich, Anne & Lange, Anne & Elbert, Ralf, 2022. "How additive manufacturing drives business model change: The perspective of logistics service providers," International Journal of Production Economics, Elsevier, vol. 249(C).

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