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Exploring evolution and emerging trends in business model study: a co-citation analysis

Author

Listed:
  • Xuerong Li

    (University of Chinese Academy of Sciences)

  • Han Qiao

    (University of Chinese Academy of Sciences)

  • Shouyang Wang

    (University of Chinese Academy of Sciences
    Chinese Academy of Sciences)

Abstract

This paper is an early attempt of using co-citation analysis to sort out and to analyze the development and evolution of a latest hot area, business model. A dataset of 1498 records published between 1995 and 2015 is collected from Web of Science database. The empirical results show the latest hot topics in the business model study focus on business model innovation and value creation. In addition, technology oriented articles and strategy oriented articles provide some of the main perspectives of business model study. The conclusions and implications of business model in this paper will be particularly illuminating for both academic research and enterprises’ practice application.

Suggested Citation

  • Xuerong Li & Han Qiao & Shouyang Wang, 2017. "Exploring evolution and emerging trends in business model study: a co-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 869-887, May.
    • Handle: RePEc:spr:scient:v:111:y:2017:i:2:d:10.1007_s11192-017-2266-5
    DOI: 10.1007/s11192-017-2266-5
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    References listed on IDEAS

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    Cited by:

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    2. Manuel Castriotta & Michela Loi & Elona Marku & Ludovica Moi, 2021. "Disentangling the corporate entrepreneurship construct: conceptualizing through co-words," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2821-2863, April.
    3. Wang Guizhou & Zhang Si & Yu Tao & Ning Yu, 2021. "A Systematic Overview of Blockchain Research," Journal of Systems Science and Information, De Gruyter, vol. 9(3), pages 205-238, June.
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    5. Jiang, Shangrong & Li, Xuerong & Wang, Shouyang, 2021. "Exploring evolution trends in cryptocurrency study: From underlying technology to economic applications," Finance Research Letters, Elsevier, vol. 38(C).
    6. Han Liu & Ying Liu & Yonglian Wang & Changchun Pan, 2019. "Hot topics and emerging trends in tourism forecasting research: A scientometric review," Tourism Economics, , vol. 25(3), pages 448-468, May.
    7. Chi-Swian Wong, 2021. "Science Mapping: A Scientometric Review on Resource Curses, Dutch Diseases, and Conflict Resources during 1993–2020," Energies, MDPI, vol. 14(15), pages 1-48, July.
    8. Qian, Yue & Liu, Yu & Sheng, Quan Z., 2020. "Understanding hierarchical structural evolution in a scientific discipline: A case study of artificial intelligence," Journal of Informetrics, Elsevier, vol. 14(3).
    9. Yue, Yao & Li, Xuerong & Zhang, Dingxuan & Wang, Shouyang, 2021. "How cryptocurrency affects economy? A network analysis using bibliometric methods," International Review of Financial Analysis, Elsevier, vol. 77(C).
    10. Liu, Jiajia & Li, Xuerong & Wang, Shouyang, 2020. "What have we learnt from 10 years of fintech research? a scientometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    11. Marco Galvagno & Vincenzo Pisano, 2021. "Building the genealogy of family business internationalization: a bibliometric mixed-method approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 757-783, January.
    12. Zheng-Dong Li & Bei Zhang, 2023. "Family-friendly policy evolution: a bibliometric study," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-17, December.
    13. Budler, Marko & Župič, Ivan & Trkman, Peter, 2021. "The development of business model research: A bibliometric review," Journal of Business Research, Elsevier, vol. 135(C), pages 480-495.

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