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Delone and McLean IS Success Model for Evaluating Knowledge Sharing

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Data Quality and Trust in Big Data (QUAT 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11235))

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Abstract

It is generally agreed upon that Knowledge Sharing (KS) is an effective process within organizational settings. It is also the corner-stone of many firm’s Knowledge Management (KM) Strategy. Despite the growing significance of KS for organization’s competitiveness and performance, analyzing the level of KS make it difficult for KM to achieve the optimum level of KS. Because of these causes, this study attempts to develop a conceptual model based on one of the IS Theories that is determined as the best model for evaluating the level of KS. In other words, it is Delone and McLean IS Success model that is presented according to the Communication Theory and it covers various perspectives of assessing Information Systems (IS). Hence, these dimensions cause it to be a multidimensional measuring model that could be a suitable model for realizing the level of KS.

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References

  1. Gammelgaard, J., Ritter, T.: Knowledge retrieval process in multinational consulting firms. Danish Social Sciences Research Council, Frederiksberg, Denmark (2000). http://web.cbs.dk/departments/int/seminarpapers/JG-Knowledge.pdf. Accessed 10 Sept 2016

  2. Asllani, A., Luthans, F.: What knowledge managers really do: an empirical and comparative analysis. J. Knowl. Manag. 7(3), 53–66 (2003)

    Article  Google Scholar 

  3. Gold, A.H., Malhotra, A., Segars, A.H.: Knowledge management: an organizational capabilities perspective. J. Manag. Inf. Syst. 18(1), 185–214 (2001)

    Article  Google Scholar 

  4. Aranda, D., Fernandez, L.: Determinants of innovation through a knowledge-based theory lens. Ind. Manag. Data Syst. 102(5), 289–296 (2002)

    Article  Google Scholar 

  5. Ford, D.: Trust and knowledge management: the seeds of success. Queen’s KBE Center for Knowledge-Based Enterprises, Queen’s University, Kingston, ON, Canada (2001). http://business.queensu.ca/knowledge/workingpapers/working/working_01-08.pdf. Accessed 10 Sept 2016

  6. Nonaka, I., Takeuchi, H.: The Knowledge Creating Company: How the Japanese Companies Create the Dynamics of Innovation. Oxford University Press, New York (1995)

    Google Scholar 

  7. Sarkheyli, A., Alias, R.A., Ithnin, N., Esfahani, M.D.: Dimensions of knowledge sharing quality: an empirical investigation. J. Res. Innov. Inf. Syst. 3, 9–18 (2013)

    Google Scholar 

  8. Gupta, A.K., Govindarajan, V.: Knowledge management social dimension: lessons from Nucor Steel. Sloan Manag. Rev. 42(1), 71–81 (2000)

    Google Scholar 

  9. Hung, Y.H., Chou, S.C.: On constructing a knowledge management pyramid model. In: IRI-2005 IEEE International Conference on Information Reuse and Integration, Conf, 2005, pp. 1–6. IEEE (2005)

    Google Scholar 

  10. Alavi, M., Leidner, D.E.: Knowledge management systems: emerging views and practices from the field. In: Proceedings of the 32nd Hawaii International Conference on System Sciences. IEEE Computer Society (1999)

    Google Scholar 

  11. Alavi, M., Leidner, D.E.: Review: Knowledge management and knowledge management systems: conceptual foundations and research issues. MIS Q. 25(1), 107–136 (2001)

    Article  Google Scholar 

  12. Bishop, J.E., O’Reilly, R.L., Maddox, K., Hutchinson, L.J.: Client satisfaction in a feasibility study comparing face-to-face interviews with telepsychiatry. J. Telemed. Telecare 8(4), 217–221 (2002)

    Article  Google Scholar 

  13. Egbu, J.U., Wood, G., Egbu, C.O.: Critical success factors associated with effective knowledge sharing in the provision of floating support services in sheltered housing for the elderly. In: Proceedings of the 26th Annual ARCOM Conference, pp. 849–857 (2010). Association of Researchers in Construction Management

    Google Scholar 

  14. Politis, J.: The connection between trust and knowledge management: what are its implications for team performance. J. Knowl. Manag. 7(5), 55–66 (2003)

    Article  Google Scholar 

  15. Gruenfeld, D.H., Mannix, E.A., Williams, K.Y., Neale, M.A.: Group composition and decision making: how member familiarity and information distribution affect process and performance. Organ. Behav. Hum. Decis. Process. 67(1), 1–15 (1996)

    Article  Google Scholar 

  16. Smith, A., Rupp, W.: Communication and loyalty among knowledge workers: a resource of the firm theory view. J. Knowl. Manag. 6(3), 250–261 (2002)

    Article  Google Scholar 

  17. Whitten, J., Bentley, L., Dittman, K.: System Analysis and Design Methods. McGraw-Hill, New York (2001)

    MATH  Google Scholar 

  18. Syed-Ikhsan, S., Rowland, F.: Knowledge management in public organizations: a study on the relationship between organizational elements and the performance of knowledge transfer. J. Knowl. Manag. 8(2), 95–111 (2004)

    Article  Google Scholar 

  19. Connelly, C., Kelloway, E.: Predictors of employees’ perceptions of knowledge sharing cultures. Lead. Organ. Dev. J. 24(5), 294–301 (2003)

    Article  Google Scholar 

  20. Zheng, W., Yang, B., McLean, G.N.: Linking organizational culture, structure, strategy, and organizational effectiveness: mediating role of knowledge management. J. Bus. Res. 63(7), 763–771 (2010)

    Article  Google Scholar 

  21. Goh, S.: Managing effective knowledge transfer: an integrative framework and some practice implications. J. Knowl. Manag. 6(1), 23–30 (2002)

    Article  Google Scholar 

  22. Jennex, M.E.: Knowledge management systems. Int. J. Knowl. Manag. 1(2), i–iv (2005)

    Article  Google Scholar 

  23. Jennex, M.E.: What is knowledge management. Int. J. Knowl. Manag 1(4), i–iv (2005)

    Google Scholar 

  24. Davenport, T.H., Prusak, L.: Working Knowledge: How Organizations Manage What They Know. Harvard Business School Press, Boston (2000)

    Google Scholar 

  25. DeLone, W.H., McLean, E.R.: Information systems success: the quest for the dependent variable. Inf. Syst. Res. 3, 60–95 (1992)

    Article  Google Scholar 

  26. DeLone, W.H., McLean, E.R.: The DeLone and McLean model of information systems success: a ten-year update. J. Manag. Inf. Syst. 19(4), 9–30 (2003)

    Article  Google Scholar 

  27. DeLone, W.H., McLean, E.R.: Information systems success revisited. In: Proceedings of the 35th Annual Hawaii International Conference on System Sciences, HICSS, pp. 2966–2976 (2002)

    Google Scholar 

  28. Hu, P.J.-H.: Evaluating telemedicine systems success: a revised model. In: Proceedings of the 36th Annual Hawaii International Conference on System Sciences, p. 8 (2003). https://doi.org/10.1109/hicss.2003.1174379

  29. DeLone, W.H., McLean, E.R.: Measuring e-commerce success: applying the DeLone & McLean information systems success model. Int. J. Electron. Commer. 9(1), 31–47 (2004)

    Article  Google Scholar 

  30. Bharati, P., Berg, D.: Managing information technology for service quality: a study from the other side. IT People 16(2), 183–202 (2003)

    Article  Google Scholar 

  31. Bharati, P., Chaudhury, A.: Product customization on the web: an empirical study of factors impacting choiceboard user satisfaction. Inf. Resour. Manag. J. 19(2), 69–81 (2006)

    Article  Google Scholar 

  32. Chae, H.-C.: IS success model and perceived IT value. In: AMCIS 2007 Proceedings. Paper 397 (2007)

    Google Scholar 

  33. Halawi, L.A., McCarthy, R.V., Aronson, J.E.: An empirical investigation of knowledge-management systems’ success. J. Comput. Inf. Syst. 48(2), 121–135 (2007)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Dalarna University, Borlänge, Sweden

    Azadeh Sarkheyli & William Wei Song

Authors
  1. Azadeh Sarkheyli
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  2. William Wei Song
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Corresponding author

Correspondence to Azadeh Sarkheyli .

Editor information

Editors and Affiliations

  1. Zayed University, Dubai, United Arab Emirates

    Hakim Hacid

  2. Macquarie University, Sydney, NSW, Australia

    Quan Z. Sheng

  3. Nara Women’s University, Nara, Japan

    Tetsuya Yoshida

  4. Dalarna University, Borlänge, Sweden

    Azadeh Sarkheyli

  5. Department of Computer Science and Software Engineering, Swinburne University of Technology, Hawthorn, VIC, Australia

    Rui Zhou

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Sarkheyli, A., Song, W.W. (2019). Delone and McLean IS Success Model for Evaluating Knowledge Sharing. In: Hacid, H., Sheng, Q., Yoshida, T., Sarkheyli, A., Zhou, R. (eds) Data Quality and Trust in Big Data. QUAT 2018. Lecture Notes in Computer Science(), vol 11235. Springer, Cham. https://doi.org/10.1007/978-3-030-19143-6_9

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  • DOI: https://doi.org/10.1007/978-3-030-19143-6_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19142-9

  • Online ISBN: 978-3-030-19143-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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