IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v124y2020i3d10.1007_s11192-020-03543-0.html
   My bibliography  Save this article

Mapping an innovation ecosystem using network clustering and community identification: a multi-layered framework

Author

Listed:
  • Guannan Xu

    (Beijing University of Posts and Telecommunications)

  • Weijie Hu

    (Beijing University of Posts and Telecommunications)

  • Yuanyuan Qiao

    (Beijing University of Posts and Telecommunications)

  • Yuan Zhou

    (Tsinghua University)

Abstract

The existing literature on innovation ecosystem overlooks the differences between knowledge ecosystems and business ecosystems, and mostly focuses on a single-layer analysis of the ecosystem. Also, ecosystem mapping studies involve either whole-network analysis at the macro-level or ego-network analysis at the micro-level, while few studies have investigated network community analysis at the meso-level. Therefore, this paper proposes a framework of Multi-layered Innovation Ecosystem Mapping (MIEM) to explore both knowledge and business ecosystems, thereby extending the analysis to the network communities. Based on multi-source heterogeneous data and machine learning, MIEM includes four steps in conducting the analysis: define the research scope and collect data; construct whole networks; identify communities; and recognize strategic roles. In particular, Newman topological clustering is adopted to identify network communities, and a strategic-role matrix is used to analyze the roles in a community. Based on this framework, a case study of numerical-control machine tool ecosystem mapping is conducted using patents and value-added tax invoice data.

Suggested Citation

  • Guannan Xu & Weijie Hu & Yuanyuan Qiao & Yuan Zhou, 2020. "Mapping an innovation ecosystem using network clustering and community identification: a multi-layered framework," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2057-2081, September.
    • Handle: RePEc:spr:scient:v:124:y:2020:i:3:d:10.1007_s11192-020-03543-0
    DOI: 10.1007/s11192-020-03543-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-020-03543-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-020-03543-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Battistella, Cinzia & Colucci, Katia & De Toni, Alberto F. & Nonino, Fabio, 2013. "Methodology of business ecosystems network analysis: A case study in Telecom Italia Future Centre," Technological Forecasting and Social Change, Elsevier, vol. 80(6), pages 1194-1210.
    2. Clarysse, Bart & Wright, Mike & Bruneel, Johan & Mahajan, Aarti, 2014. "Creating value in ecosystems: Crossing the chasm between knowledge and business ecosystems," Research Policy, Elsevier, vol. 43(7), pages 1164-1176.
    3. Amnon Frenkel & Shlomo Maital, 2014. "Mapping National Innovation Ecosystems," Books, Edward Elgar Publishing, number 15408.
    4. Avi Fiegenbaum & Howard Thomas, 1990. "Strategic groups and performance: The U.S. insurance industry, 1970–84," Strategic Management Journal, Wiley Blackwell, vol. 11(3), pages 197-215, March.
    5. Zhou, Yuan & Dong, Fang & Kong, Dejing & Liu, Yufei, 2019. "Unfolding the convergence process of scientific knowledge for the early identification of emerging technologies," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 205-220.
    6. Byunghoon Kim & Gianluca Gazzola & Jae-Min Lee & Dohyun Kim & Kanghoe Kim & Myong K. Jeong, 2014. "Inter-cluster connectivity analysis for technology opportunity discovery," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1811-1825, March.
    7. Ron Adner & Rahul Kapoor, 2010. "Value creation in innovation ecosystems: how the structure of technological interdependence affects firm performance in new technology generations," Strategic Management Journal, Wiley Blackwell, vol. 31(3), pages 306-333, March.
    8. Sanghoon Lee & Wonjoon Kim, 2017. "The knowledge network dynamics in a mobile ecosystem: a patent citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 717-742, May.
    9. Yuan Zhou & Xin Li & Rasmus Lema & Frauke Urban, 2016. "Comparing the knowledge bases of wind turbine firms in Asia and Europe: Patent trajectories, networks, and globalisation," Science and Public Policy, Oxford University Press, vol. 43(4), pages 476-491.
    10. Geoffrey G. Bell, 2005. "Clusters, networks, and firm innovativeness," Strategic Management Journal, Wiley Blackwell, vol. 26(3), pages 287-295, March.
    11. Melissa A. Schilling & Corey C. Phelps, 2007. "Interfirm Collaboration Networks: The Impact of Large-Scale Network Structure on Firm Innovation," Management Science, INFORMS, vol. 53(7), pages 1113-1126, July.
    12. Rong, Ke & Hu, Guangyu & Lin, Yong & Shi, Yongjiang & Guo, Liang, 2015. "Understanding business ecosystem using a 6C framework in Internet-of-Things-based sectors," International Journal of Production Economics, Elsevier, vol. 159(C), pages 41-55.
    13. Binz, Christian & Truffer, Bernhard & Coenen, Lars, 2014. "Why space matters in technological innovation systems—Mapping global knowledge dynamics of membrane bioreactor technology," Research Policy, Elsevier, vol. 43(1), pages 138-155.
    14. Akbar Zaheer & Geoffrey G. Bell, 2005. "Benefiting from network position: firm capabilities, structural holes, and performance," Strategic Management Journal, Wiley Blackwell, vol. 26(9), pages 809-825, September.
    15. Yuan Zhou & Fang Dong & Yufei Liu & Zhaofu Li & JunFei Du & Li Zhang, 2020. "Forecasting emerging technologies using data augmentation and deep learning," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 1-29, April.
    16. Xu, Guannan & Wu, Yuchen & Minshall, Tim & Zhou, Yuan, 2018. "Exploring innovation ecosystems across science, technology, and business: A case of 3D printing in China," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 208-221.
    17. Douglas P. Hannah & Kathleen M. Eisenhardt, 2018. "How firms navigate cooperation and competition in nascent ecosystems," Strategic Management Journal, Wiley Blackwell, vol. 39(12), pages 3163-3192, December.
    18. Alfonso Ibáñez & Pedro Larrañaga & Concha Bielza, 2013. "Cluster methods for assessing research performance: exploring Spanish computer science," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 571-600, December.
    19. Kong, Dejing & Zhou, Yuan & Liu, Yufei & Xue, Lan, 2017. "Using the data mining method to assess the innovation gap: A case of industrial robotics in a catching-up country," Technological Forecasting and Social Change, Elsevier, vol. 119(C), pages 80-97.
    20. Yuan Zhou & Heng Lin & Yufei Liu & Wei Ding, 2019. "A novel method to identify emerging technologies using a semi-supervised topic clustering model: a case of 3D printing industry," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 167-185, July.
    21. Oh, Deog-Seong & Phillips, Fred & Park, Sehee & Lee, Eunghyun, 2016. "Innovation ecosystems: A critical examination," Technovation, Elsevier, vol. 54(C), pages 1-6.
    22. Igors Skute & Kasia Zalewska-Kurek & Isabella Hatak & Petra Weerd-Nederhof, 2019. "Mapping the field: a bibliometric analysis of the literature on university–industry collaborations," The Journal of Technology Transfer, Springer, vol. 44(3), pages 916-947, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marra, Mita & Alfano, Vincenzo & Celentano, Roberto Michele, 2022. "Assessing university-business collaborations for moderate innovators: Implications for university-led innovation policy evaluation," Evaluation and Program Planning, Elsevier, vol. 95(C).
    2. Huailan Liu & Zhiwang Chen & Jie Tang & Yuan Zhou & Sheng Liu, 2020. "Mapping the technology evolution path: a novel model for dynamic topic detection and tracking," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2043-2090, December.
    3. Bahoo, Salman & Cucculelli, Marco & Qamar, Dawood, 2023. "Artificial intelligence and corporate innovation: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    4. Wu, Xuepin & Ma, Yongjun, 2023. "Research on the comparison effect of urban residents' consumption," Journal of Business Research, Elsevier, vol. 160(C).
    5. Oghazi, Pejvak & Parida, Vinit & Wincent, Joakim & Mostaghel, Rana, 2022. "Ecosystems transformation through disruptive innovation: A definition, framework and outline for future research," Journal of Business Research, Elsevier, vol. 147(C), pages 16-26.
    6. Wenjing Wang & Yiwei Liu, 2022. "Does University-industry innovation community affect firms’ inventions? The mediating role of technology transfer," The Journal of Technology Transfer, Springer, vol. 47(3), pages 906-935, June.
    7. Lijie Feng & Jiarui Lu & Jinfeng Wang, 2021. "A Systematic Review of Enterprise Innovation Ecosystems," Sustainability, MDPI, vol. 13(10), pages 1-26, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xu, Guannan & Wu, Yuchen & Minshall, Tim & Zhou, Yuan, 2018. "Exploring innovation ecosystems across science, technology, and business: A case of 3D printing in China," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 208-221.
    2. Gomes, Leonardo Augusto de Vasconcelos & Flechas, Ximena Alejandra & Facin, Ana Lucia Figueiredo & Borini, Felipe Mendes, 2021. "Ecosystem management: Past achievements and future promises," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    3. Yanzhang Gu & Longying Hu & Hongjin Zhang & Chenxuan Hou, 2021. "Innovation Ecosystem Research: Emerging Trends and Future Research," Sustainability, MDPI, vol. 13(20), pages 1-21, October.
    4. Shi, Xianwei & Liang, Xingkun & Luo, Yining, 2023. "Unpacking the intellectual structure of ecosystem research in innovation studies," Research Policy, Elsevier, vol. 52(6).
    5. Bo Liu & Yun-Fei Shao & Guowei Liu & Debing Ni, 2022. "An Evolutionary Analysis of Relational Governance in an Innovation Ecosystem," SAGE Open, , vol. 12(2), pages 21582440221, April.
    6. Cobben, Dieudonnee & Ooms, Ward & Roijakkers, Nadine & Radziwon, Agnieszka, 2022. "Ecosystem types: A systematic review on boundaries and goals," Journal of Business Research, Elsevier, vol. 142(C), pages 138-164.
    7. Gomes, Leonardo Augusto de Vasconcelos & Facin, Ana Lucia Figueiredo & Salerno, Mario Sergio & Ikenami, Rodrigo Kazuo, 2018. "Unpacking the innovation ecosystem construct: Evolution, gaps and trends," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 30-48.
    8. Dedehayir, Ozgur & Mäkinen, Saku J. & Ortt, J. Roland, 2022. "Innovation ecosystems as structures: Actor roles, timing of their entrance, and interactions," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    9. Phillips, Mark A. & Ritala, Paavo, 2019. "A complex adaptive systems agenda for ecosystem research methodology," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    10. Dejing Kong & Jianzhong Yang & Lingfeng Li, 2020. "Early identification of technological convergence in numerical control machine tool: a deep learning approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 1983-2009, December.
    11. Choi, Kwang Hun & Kwon, Gyu Hyun, 2023. "Strategies for sensing innovation opportunities in smart grids: In the perspective of interactive relationships between science, technology, and business," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    12. Arenal, Alberto & Armuña, Cristina & Feijoo, Claudio & Ramos, Sergio & Xu, Zimu & Moreno, Ana, 2020. "Innovation ecosystems theory revisited: The case of artificial intelligence in China," Telecommunications Policy, Elsevier, vol. 44(6).
    13. Mark A. Phillips & Jagjit Singh Srai, 2018. "Exploring Emerging Ecosystem Boundaries: Defining ‘The Game’," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 22(08), pages 1-21, December.
    14. Gomes, Leonardo Augusto de Vasconcelos & Fleury, André Leme & Oliveira, Maicon Gouvêa de & Facin, Ana Lucia Figueiredo, 2021. "Ecosystem policy roadmapping," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    15. Yuan Zhou & Fang Dong & Yufei Liu & Liang Ran, 2021. "A deep learning framework to early identify emerging technologies in large-scale outlier patents: an empirical study of CNC machine tool," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 969-994, February.
    16. Marzena Kramarz & Lilla Knop & Edyta Przybylska & Katarzyna Dohn, 2021. "Stakeholders of the Multimodal Freight Transport Ecosystem in Polish–Czech–Slovak Cross-Border Area," Energies, MDPI, vol. 14(8), pages 1-32, April.
    17. Pushpananthan, Gouthanan & Elmquist, Maria, 2022. "Joining forces to create value: The emergence of an innovation ecosystem," Technovation, Elsevier, vol. 115(C).
    18. Huailan Liu & Zhiwang Chen & Jie Tang & Yuan Zhou & Sheng Liu, 2020. "Mapping the technology evolution path: a novel model for dynamic topic detection and tracking," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2043-2090, December.
    19. Wenjing Wang & Yiwei Liu, 2022. "Does University-industry innovation community affect firms’ inventions? The mediating role of technology transfer," The Journal of Technology Transfer, Springer, vol. 47(3), pages 906-935, June.
    20. Larissa Oliveira‐Duarte & Diane Aparecida Reis & Andre Leme Fleury & Rosana Aparecida Vasques & Homero Fonseca Filho & Mikko Koria & Julia Baruque‐Ramos, 2021. "Innovation Ecosystem framework directed to Sustainable Development Goal #17 partnerships implementation," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(5), pages 1018-1036, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:124:y:2020:i:3:d:10.1007_s11192-020-03543-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.