Advertisement

A Digital-Enabled Framework for Intelligent Collaboration in Small Teams

  • Juanqiong Gou
  • Qinghua LiuEmail author
  • Wenxin Mu
  • Wenchi Ying
  • Hamideh Afsarmanesh
  • Frederick Benaben
Conference paper
  • 311 Downloads
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 568)

Abstract

Socialized value creation in networked organizations is the new paradigm of digital organizations. In dynamic and uncertain environment, small teams and big organizations can benefit from interaction with intelligent assistance. For that purpose, various behavior and relationships in situations should be effectively collected and fused. This paper proposes very early steps toward developing theoretical method for the intelligent collaboration of small teams and their big organization environment. Three main subjects are addressed in this paper: (i) Behavior intelligence support for virtual organizations; (ii) Situations behavior digitization, focusing on scenario recognition and modeling; (iii) Data fusion and behavior pattern mining, based on situation-based behavior modeling and heterogeneous behavior model fusion.

Keywords

Intelligent collaboration Collaborative Networks Digital platform Situations 

References

  1. 1.
    Feng, Z., Guo, X., Zeng, D., Chen, Y., Chen, G.: On the research frontiers of business management in the context of big data. J. Manag. Sci. China 16, 1–9 (2013)Google Scholar
  2. 2.
    Xiao, J., Mao, Y., Xie, K.: Transformation of Chinese manufacturing industry: insight from intelligent manufacturing system based on internet and big data. Mod. Ind. Econ. 2, 5–16 (2016)Google Scholar
  3. 3.
    Gou, J., Li, N., Mu, W., Liu, Q., Lv, X.: Chinese collaborative software in digital transformation era. In: Camarinha-Matos, L.M., Afsarmanesh, H., Rezgui, Y. (eds.) PRO-VE 2018. IAICT, vol. 534, pp. 601–611. Springer, Cham (2018).  https://doi.org/10.1007/978-3-319-99127-6_52CrossRefGoogle Scholar
  4. 4.
    Camarinha-Matos, L., Afsarmanesh, H.: Collaborative networks: a new scientific discipline. J. Intell. Manuf. 16, 439–452 (2005)CrossRefGoogle Scholar
  5. 5.
    Camarinha-Matos, L.M., Afsarmanesh, H.: Classes of collaborative networks. In: Networked & Virtual Organizations, pp. 193–198. Idea Group (2008)Google Scholar
  6. 6.
    Afsarmanesh, H., Camarinha-Matos, L.M., Msanjila, S.S.: Models, methodologies, and tools supporting establishment and management of second-generation VBEs. IEEE Trans. Syst. Man Cybern. C 41(5), 692–710 (2011)CrossRefGoogle Scholar
  7. 7.
    Afsarmanesh, H., Camarinha-Matos, L.M.: A framework for management of virtual organization breeding environments. In: Camarinha-Matos, L.M., Afsarmanesh, H., Ortiz, A. (eds.) PRO-VE 2005. ITIFIP, vol. 186, pp. 35–48. Springer, Boston, MA (2005).  https://doi.org/10.1007/0-387-29360-4_4CrossRefGoogle Scholar
  8. 8.
    Cai, S., Xue, X., Wu, L.: Artificial intelligence and human intelligence: a view on human-computer competition from the five-level theory of cognitive science. J. Peking Uni. (Philos. Soc. Sci.) 53, 140–155 (2016)Google Scholar
  9. 9.
    Min, H.: Artificial intelligence in supply chain management: theory and applications. Int. J. Logistics Res. Appl. 13, 13–39 (2010)CrossRefGoogle Scholar
  10. 10.
    Magoutas, B., Mentzas, G., Apostolou, D.: Proactive situation management in the future internet: the case of the smart power grid. In: International Workshop on Database & Expert Systems Applications (2012)Google Scholar
  11. 11.
    Chang, C.K.: Situation analytics—at the dawn of a new software engineering paradigm. Sci. China Inf. Sci. 61, 050101 (2018)CrossRefGoogle Scholar
  12. 12.
    Banuls, V.A., Turoff, M., Hiltz, S.R.: Collaborative scenario modeling in emergency management through cross-impact. Technol. Forecast. Soc. Change 80, 1756–1774 (2013)CrossRefGoogle Scholar
  13. 13.
    Afsarmanesh, H., Camarinha-Matos, L.M., Ermilova, E.: VBE Reference Framework. In: Camarinha-Matos, L.M., Afsarmanesh, H., Ollus, M. (eds.) Methods and Tools for Collaborative Networked Organizations, 35–68. Springer, Boston (2008).  https://doi.org/10.1007/978-0-387-79424-2_2CrossRefGoogle Scholar
  14. 14.
    Bidoux, L., Bénaben, F., Pignon, J.-P.: A metamodel for collaboration formalization. In: Camarinha-Matos, L.M., Afsarmanesh, H. (eds.) PRO-VE 2014. IAICT, vol. 434, pp. 375–383. Springer, Heidelberg (2014).  https://doi.org/10.1007/978-3-662-44745-1_37CrossRefGoogle Scholar
  15. 15.
    Benaben, F., Li, J., Gou, J.: A tentative framework for risk and opportunity detection in a collaborative environment based on data interpretation. In: HICSS 2019 (2019).  https://doi.org/10.24251/hicss.2019.369

Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  • Juanqiong Gou
    • 1
  • Qinghua Liu
    • 1
    Email author
  • Wenxin Mu
    • 1
  • Wenchi Ying
    • 1
  • Hamideh Afsarmanesh
    • 2
  • Frederick Benaben
    • 3
  1. 1.School of Economic and ManagementBeijing Jiaotong UniversityBeijingChina
  2. 2.Institute of InformaticsUniversity of AmsterdamAmsterdamThe Netherlands
  3. 3.École des Mines d’Albi-CarmauxAlbiFrance

Personalised recommendations