Assessment of Sustainable Collaboration in Collaborative Business Ecosystems

被引:3
作者
Graca, Paula [1 ,2 ,3 ]
Camarinha-Matos, Luis M. [1 ,2 ]
机构
[1] NOVA Univ Lisbon, Sch Sci & Technol, Campus Caparica, P-2829516 Caparica, Portugal
[2] NOVA Univ Lisbon, Uninova CTS, Campus Caparica, P-2829516 Caparica, Portugal
[3] Inst Politecn Lisboa, Inst Super Engn Lisboa, Rua Conselheiro Emidio Navarro 1, P-1959007 Lisbon, Portugal
关键词
collaborative networks; business ecosystem; performance indicators; simulation; agent-based modelling; SUPPLY CHAIN COLLABORATION; PERFORMANCE-MEASURES; DESIGN SCIENCE; VALUE-SYSTEMS; NETWORKS; METRICS; IMPROVEMENT; INDICATORS; CENTRALITY; FRAMEWORK;
D O I
10.3390/computers10120167
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Advances in information and communication technologies and, more specifically, in artificial intelligence resulted in more intelligent systems, which, in the business world, particularly in collaborative business ecosystems, can lead to a more streamlined, effective, and sustainable processes. Following the design science research method, this article presents a simulation model, which includes a performance assessment and influence mechanism to evaluate and influence the collaboration of the organisations in a business ecosystem. The establishment of adequate performance indicators to assess the organisations can act as an influencing factor of their behaviour, contributing to enhancing their performance and improving the ecosystem collaboration sustainability. As such, several scenarios are presented shaping the simulation model with actual data gathered from three IT industry organisations running in the same business ecosystem, assessed by a set of proposed performance indicators. The resulting outcomes show that the collaboration can be measured, and the organisations' behaviour can be influenced by varying the weights of the performance indicators adopted by the CBE manager.
引用
收藏
页数:18
相关论文
共 61 条
  • [1] On the role of value systems to promote the sustainability of collaborative environments
    Abreu, A.
    Camarinha-Matos, L. M.
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2008, 46 (05) : 1207 - 1229
  • [2] Abreu A., 2008, Collaborative networks: Reference modeling, P253, DOI DOI 10.1007/978-0-387-79426-6_18
  • [3] Abreu A, 2011, IFIP ADV INF COMM TE, V362, P29
  • [4] Introduction to the Special Issue: The Genesis and Dynamics of Organizational Networks
    Ahuja, Gautam
    Soda, Giuseppe
    Zaheer, Akbar
    [J]. ORGANIZATION SCIENCE, 2012, 23 (02) : 434 - 448
  • [5] A metrology-based approach for measuring the social dimension of cognitive trust in collaborative networks
    Andrade-Garda, Javier
    Anguera, Aurea
    Ares-Casal, Juan
    Garcia-Vazquez, Rafael
    Lara, Juan-Alfonso
    Lizcano, David
    Rodriguez-Yanez, Santiago
    Suarez-Garaboa, Sonia
    [J]. COGNITION TECHNOLOGY & WORK, 2020, 22 (02) : 235 - 248
  • [6] [Anonymous], 2013, MULTIMETHOD MODELING
  • [7] [Anonymous], 2010, P INT C MANAGEMENT E, DOI DOI 10.1145/1936254.1936262
  • [8] Balanced Scorecard approach in deducing supply chain performance
    Balaji, M.
    Dinesh, S. N.
    Kumar, P. Manoj
    Ram, K. Hari
    [J]. MATERIALS TODAY-PROCEEDINGS, 2021, 47 : 5217 - 5222
  • [9] Emergence of scaling in random networks
    Barabási, AL
    Albert, R
    [J]. SCIENCE, 1999, 286 (5439) : 509 - 512
  • [10] Bastian M, 2009, P INT AAAI C WEB SOC, DOI DOI 10.13140/2.1.1341.1520