Mapping Business Model Research: A Document Bibliometric Analysis

被引:39
|
作者
Belussi, Fiorenza [1 ]
Orsi, Luigi [2 ]
Savarese, Maria [1 ]
机构
[1] Univ Padua, Dept Econ & Management, Via Santo 33, I-35123 Padua, Italy
[2] Univ Milan, Dept Environm Sci & Policy, Via Celoria 2, I-20133 Milan, Italy
关键词
Business model; business model innovation; co-citation analysis; bibliographic coupling analysis; cluster analysis; DYNAMIC CAPABILITIES; TECHNOLOGICAL DISCONTINUITIES; OPEN INNOVATION; DOMINANT LOGIC; RESEARCH-FRONT; VALUE CREATION; SPIN-OFF; FIRMS; PERFORMANCE; FUTURE;
D O I
10.1016/j.scaman.2019.101048
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Today, the business model (BM) is one of the most studied concepts within managerial and innovation literature. Although scholars have shown a growing interest in understanding and analysing the BM, a theoretical conceptualization is still lacking. This paper provides a systematic review of the current state of BM research by mapping the research landscape to identify key research publications, journals that had relevance in developing the BM literature, and the main areas of research. Using the ISI Web of Knowledge "core collection", this study conducts a document bibliometric analysis of 3,604 publications in the fields of management and business that were published between 1985 and 2017. The use of quantitative methods allowed us to overcome the shortcomings of the past subjective literature reviews. We clustered the selected articles on the basis of two distinct perspectives. First, we identified the founders of the discipline, creating a map of co-cited articles (co-citation analysis); this enabled us to identify five major research clusters, formed on the basis of similar co-citations, that characterize the historical evolution of the BM studies. Second, throughout the bibliographic coupling analysis, which aggregates articles sharing a similar bibliography, we captured the main emergent research sub-fields of the most recent BM literature.
引用
收藏
页数:19
相关论文
共 50 条
  • [1] Mapping research on family business in tourism and hospitality: a bibliometric analysis
    Shekhar
    Gupta, Anjali
    Valeri, Marco
    [J]. JOURNAL OF FAMILY BUSINESS MANAGEMENT, 2022, 12 (03) : 367 - 392
  • [2] Business Model Research: A Bibliometric Analysis of Origins and Trends
    Maucuer, Raphael
    Renaud, Alexandre
    [J]. MANAGEMENT, 2019, 22 (02): : 176 - 215
  • [3] Science Mapping of Digital Transformation in Business: A Bibliometric Analysis and Research Outlook
    Vinaja, Robert
    [J]. JOURNAL OF GLOBAL INFORMATION TECHNOLOGY MANAGEMENT, 2023, 26 (02) : 169 - 171
  • [4] Mapping the Development of Open Innovation Research in Business and Management Field: A Bibliometric Analysis
    Sikandar, Huma
    Kohar, Umar Haiyat Abdul
    Corzo-Palomo, Erika Eleana
    Gamero-Huarcaya, Valery Kimiyo
    Ramos-Meza, Carlos Samuel
    Shabbir, Malik Shahzad
    Jain, Vipin
    [J]. JOURNAL OF THE KNOWLEDGE ECONOMY, 2024, 15 (02) : 9868 - 9890
  • [5] Mapping the Evolution of Digital Business Research: A Bibliometric Review
    Chae, Bongsug
    [J]. SUSTAINABILITY, 2022, 14 (12)
  • [6] Bibliometric Analysis and Science Mapping of Business Incubators
    Gulia, Disha
    Kumar, Samit
    Arora, Sapna
    [J]. JOURNAL OF THE KNOWLEDGE ECONOMY, 2023,
  • [7] Mapping of Crowdsourcing Research: A Bibliometric Analysis
    Malik, Basharat Ahmad
    Aftab, Azra
    Ali, Naushad P. M.
    [J]. DESIDOC JOURNAL OF LIBRARY & INFORMATION TECHNOLOGY, 2019, 39 (01): : 23 - 30
  • [8] The development of business model research: A bibliometric review
    Budler, Marko
    Zupic, Ivan
    Trkman, Peter
    [J]. JOURNAL OF BUSINESS RESEARCH, 2021, 135 : 480 - 495
  • [9] Business Research and Data Mining: a Bibliometric Analysis
    Bitzenis, Aristidis
    Koutsoupias, Nikos
    Boutsiouki, Sofia
    [J]. International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023, 2023,
  • [10] Mapping five decades of international business and management research on India: A bibliometric analysis and future directions
    Mukherjee, Debmalya
    Kumar, Satish
    Mukherjee, Deepraj
    Goyal, Kirti
    [J]. JOURNAL OF BUSINESS RESEARCH, 2022, 145 : 864 - 891