Advertisement

Evolution Analysis of Newcomer-Task Network Structure of Enterprise Information System: A Case Study of a Shipbuilding Enterprise

  • Yanhong Peng
  • Jun YinEmail author
  • Shi-lun Ge
  • Peng Liu
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1103)

Abstract

With the implementation of the enterprise information system, newcomers of information system often feel that their work efficiency decreases in the process of using unfamiliar system functions, which affects the utilization rate of information system as well as their performance. As the core groups of information system implementation, understanding the behavior of newcomers is the starting point of deeply grasping the operation mechanism of information system user relationship network in enterprises, thus it is of great value to study the behavior of newcomers in information system. According to the user system usage data in a ship enterprise information system, the newcomer-task network structure of the information system is analyzed with the complex network methods. It is found that the evolution of the newcomer-task network has better restored the implementation cycle of the enterprise information system, that is, it has undergone a new period, a growing period and a stable period in the system. The relationship between newcomers and other users has gradually dispersed from the beginning to form a small group and finally gathered.

Keywords

Enterprise information system Newcomers Network structure evolution 

References

  1. 1.
    Goh, J.M., Gao, G., Agarwal, R.: Evolving work routines: adaptive routinization of information technology in healthcare. Inf. Syst. Res. 22(3), 565–585 (2011)CrossRefGoogle Scholar
  2. 2.
    Hsieh, P.J., Lin, W.S.: Explaining resistance to system usage in the Pharma Cloud: a view of the dual-factor model. Inf. Manag. 55(1), 51–63 (2018)CrossRefGoogle Scholar
  3. 3.
    Dekas, K.: Nooglers to Googlers: applying science and measurement to new hire onboarding. In: Paper presented at the Society for Industrial and Organizational Psychology Conference, Houston, TX (2013) Google Scholar
  4. 4.
    Sykes, T.A., Venkatesh, V., Johnson, J.L.: Enterprise system implementation and employee job performance: understanding the role of advice networks. MIS Q. 38(1), 51–72 (2014)CrossRefGoogle Scholar
  5. 5.
    Kowtha, N.R.: Organizational socialization of newcomers: the role of professional socialization. Int. J. Training Dev. 22(2), 87–106 (2018)CrossRefGoogle Scholar
  6. 6.
    Ellis, A.M., Nifadkar, S.S., Bauer, T.N., et al.: Newcomer adjustment: examining the role of managers’ perception of newcomer proactive behavior during organizational socialization. J. Appl. Psychol. 102(6), 993 (2017)CrossRefGoogle Scholar
  7. 7.
    Cai, G.Q., Li, Y.N.: Management information system life cycle system management. Sci. Sci. Manag. S&T 23(10), 77–80 (2002)Google Scholar
  8. 8.
    Flanagin, A.J., Waldeck, J.H.: Technology use and organizational newcomer socialization. J. Bus. Commun. 41(2), 137–165 (2004)CrossRefGoogle Scholar
  9. 9.
    Kowtha, N.R.: Organizational socialization of newcomers: the role of professional socialization. Int. J. Train. Dev. 22(2), 87–106 (2018)CrossRefGoogle Scholar
  10. 10.
    Roland, N., Frenay, M., Boudrenghien, G.: Towards a better understanding of academic persistence among fresh-men: a qualitative approach. J. Educ. Train. Stud. 4(12), 175–188 (2016)Google Scholar
  11. 11.
    Nifadkar, S., Tsui, A.S., Ashforth, B.E.: The way you make me feel and behave: supervisor-triggered newcomer affect and approach-avoidance behavior. Acad. Manag. J. 55(5), 1146–1168 (2012)CrossRefGoogle Scholar
  12. 12.
    Lee, R.: Entrepreneurial newcomers: bridging structures and issues of status and power. In: The Social Capital of Entrepreneurial Newcomers, pp. 73–87. Palgrave Macmillan, London (2017)Google Scholar
  13. 13.
    Chiu, M.H.: What does a newcomer digital librarian need to know? Exploring information seeking behavior of newcomer digital librarians in academic libraries during organizational entry. Proc. Am. Soc. Inf. Sci. Technol. 44(1), 1–6 (2007)Google Scholar
  14. 14.
    Hesketh, E.A., Allan, M.S., Harden, R.M., et al.: New doctors’ perceptions of their educational development during their first year of postgraduate training. Med. Teach. 25(1), 67–76 (2003)CrossRefGoogle Scholar
  15. 15.
    McGuire, M.T., Fairbanks, L.A., Cole, S.R., et al.: The ethological study of four psychiatric wards: Behavior changes associated with new staff and new patients. J. Psychiatr. Res. 13(4), 211–224 (1977)CrossRefGoogle Scholar
  16. 16.
    Delobbe, N., Cooper-Thomas, H.D., De Hoe, R.: A new look at the psychological contract during organizational socialization: the role of newcomers’ obligations at entry. J. Organ. Behav. 37(6), 845–867 (2016)CrossRefGoogle Scholar
  17. 17.
    Smith, L.G.E., Amiot, C.E., Callan, V.J., et al.: Getting new staff to stay: the mediating role of organizational identification. Br. J. Manag. 23(1), 45–64 (2012)Google Scholar
  18. 18.
    Chang, L.E., Lin, S.P.: Newcomers’ socialization by intranet system. In: 10th IEEE/ACIS International Conference on Computer and Information Science, pp. 239–243. IEEE Press, Sanya (2011)Google Scholar
  19. 19.
    Yin, J., Zhen, Q.Q., Ge, S.L., et al.: Study of effects of functional tasks network’s position and relationship on enterprise information system usage. Syst. Eng. Theory Pract. 38(2), 444–457 (2018)Google Scholar
  20. 20.
    Sykes, T.A., Venkatesh, V., Gosain, S.: Model of acceptance with peer support: a social network perspective to understand employees’ system use. MIS Q. 33(2), 371–393 (2009)CrossRefGoogle Scholar
  21. 21.
    Wang, Y., Meister, D.B., Gray, P.H.: Social influence and knowledge management systems use: evidence from panel data. MIS Q. 37(1), 299–313 (2013)CrossRefGoogle Scholar
  22. 22.
    Wiesneth, K.: Evolution, structure and users’ attachment behavior in enterprise social networks. In: 2016 49th Hawaii International Conference on System Sciences (HICSS), pp. 2038–2047. IEEE Press, Hawaii (2016)Google Scholar
  23. 23.
    Blondel, V.D., Guillaume, J.L., Lambiotte, R., et al.: Fast unfolding of communities in large networks. J. Stat. Mech: Theory Exp. 2008(10), 10008 (2008)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Economics and ManagementJiangsu University of Science and TechnologyZhenjiangChina
  2. 2.Service Manufacturing Model and Information Research CenterJiangsu University of Science and TechnologyZhenjiangChina

Personalised recommendations