Understanding business model development through the lens of complexity theory: Enablers and barriers

被引:14
|
作者
Vatankhah, Sanaz [1 ]
Bamshad, Vahideh [2 ]
Altinay, Levent [3 ]
De Vita, Glauco [4 ]
机构
[1] Univ Bedfordshire, Dept Int Business Mkt & Tourism, Luton LU1 3JU, Beds, England
[2] Univ Tehran, Fac Management & Accounting, Dept Management, Farabi Campus, Qom, Iran
[3] Oxford Brookes Univ, Oxford Brookes Business Sch, Oxford, England
[4] Coventry Univ, Fac Business & Law, Ctr Business Soc, Gosford St, Coventry CV1 5DL, W Midlands, England
关键词
Business model development; Fuzzy MCDM; Innovation; Entrepreneurship; Complexity theory; Airline; FUZZY DELPHI METHOD; ANALYTIC HIERARCHY PROCESS; GROUP DECISION-MAKING; ORGANIZATIONAL INERTIA; AIRLINE INDUSTRY; FIRM PERFORMANCE; PRIOR-KNOWLEDGE; OPEN INNOVATION; TOPSIS; AHP;
D O I
10.1016/j.jbusres.2022.113350
中图分类号
F [经济];
学科分类号
02 ;
摘要
A winning business model is the key to business success in today's fragmented market environment. However, businesses need to develop their business models overtime to meet the requirements of environmental un-certainties and shifts surrounding the business. Drawing on complexity theory and its related concept of hier-archy, this study advances a systematic approach to theoretically investigate the factors that favourably or adversely affect business model development (BMD), in a hierarchical order. In particular, multiple fuzzy multi -criteria decision making techniques were applied to develop the list of enablers of and barriers to BMD, to determine the priorities among enablers, and to determine the significance of barriers with respect to the main enablers of BMD. The results reveal that organizational form is the most salient enablers of BMD, while type II barriers are the most significant barriers, challenging the development of business models. Implications and future research directions are also provided.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Students' Transitions into Initial Teacher Education: Understanding Barriers and Enablers Through an Ecological Lens
    Amundsen, Diana
    Ballam, Nadine
    McChesney, Katrina
    AUSTRALIAN JOURNAL OF TEACHER EDUCATION, 2021, 46 (03): : 91 - 111
  • [2] Barriers and Enablers of Digital Business Model Transformation
    Kurti, Erdelina
    Haftor, Darek
    PROCEEDINGS OF 9TH EUROPEAN CONFERENCE ON IS MANAGEMENT AND EVALUATION (ECIME 2015), 2015, : 262 - 268
  • [3] Business Development in Large-Scale Agile Software Development: Barriers and Enablers
    Olsen, John Olav
    Stray, Viktoria
    Moe, Nils Brede
    AGILE PROCESSES IN SOFTWARE ENGINEERING AND EXTREME PROGRAMMING - WORKSHOPS, XP 2022 WORKSHOPS, XP 2023 WORKSHOPS, 2024, 489 : 161 - 170
  • [4] Barriers and Enablers Affecting the Uptake of Biosimilar Medicines Viewed Through the Lens of Actor Network Theory: A Systematic Review
    Rieger, Chad
    Dean, Judith A.
    Hall, Lisa
    Vasquez, Paola
    Merlo, Gregory
    BIODRUGS, 2024, 38 (04) : 541 - 555
  • [5] Leadership learning through the lens of complexity theory
    Ng, F. S. David
    HUMAN SYSTEMS MANAGEMENT, 2013, 32 (01) : 43 - 55
  • [6] Viewing WIL in business schools through a new lens Moving to the edge of chaos with complexity theory
    Rook, Laura
    McManus, Lisa
    EMERGENCE-COMPLEXITY & ORGANIZATION, 2016, 18 (02):
  • [7] Business as Mission Through the Lens of Development
    Bronkema, David
    Brown, Christopher M.
    TRANSFORMATION-AN INTERNATIONAL JOURNAL OF HOLISTIC MISSION STUDIES, 2009, 26 (02): : 82 - 88
  • [8] Enablers and Barriers: The Conflicting Role of Institutional Logics in Business Model Change for Sustainability
    Olesson, Erica
    Nenonen, Suvi
    Newth, Jamie
    ORGANIZATION & ENVIRONMENT, 2023, 36 (02) : 228 - 252
  • [9] Understanding snacking through a practice theory lens
    Twine, Richard
    SOCIOLOGY OF HEALTH & ILLNESS, 2015, 37 (08) : 1270 - 1284
  • [10] Model Interpretability through the Lens of Computational Complexity
    Barcelo, Pablo
    Monet, Mikael
    Perez, Jorge
    Subercaseaux, Bernardo
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 33, NEURIPS 2020, 2020, 33