A Success Model for Semantic Technology based - Knowledge Management Systems: an Empirical Investigation

  • Authors

    • Abdulmajid Babangida Umar
    • Azmi Ja’afar
    • Marzanah A. Jabar
    • Masrah Azrifah Azmi Murad
    2018-12-09
    https://doi.org/10.14419/ijet.v7i4.31.23359
  • Empirical investigation, Knowledge management systems, Semantic knowledge management, Sematic web technologies, Success model.
  • Abstract

    Provision of sufficient knowledge to users is the ultimate goal of a knowledge management system (KMS). Unfortunately, existing KMS’s rely on human effort for access to desired knowledge. Semantic technologies have become a force for paradigm shift in KMS research. They aim to enable the delivery of the right knowledge to the right person and in the right context. Nevertheless, research gap exists on success models for the evaluation of semantic KMS. Most studies only focus on traditional KMS success. Hence, this paper proposes a model to predict the success of semantic KMS. The Relationship between two independent quality dimensions; knowledge and system quality, with two dependent constructs; perceived benefit and user satisfaction was examined through 5 formulated hypotheses. Using a survey method, questionnaires were administered to academicians in Malaysian public higher institutions. Out of a total 221 returned questionnaires, 199 valid responses were used for analysis. Contrary to the expectation, no direct relationship was found between knowledge quality, searchability, and user satisfaction. However, the result indicated that user satisfaction with semantic KM systems is positively associated with user perceived benefit of the system, which is strongly associated with the searchability of the system. Also, a weak association between knowledge quality and perceived benefit was revealed. Findings from the study highlights that, for success to be achieved, user’s perception of benefit from the semantic KMS is key. This can be achieved if the system can provide adequate searchability and satisfactory quality of knowledge.

     

     

     
  • References

    1. [1] Kanaracus C (2008), Gartner: global IT spending growth stable. InfoWorld, available online: https://www.infoworld.com/article/2651482/techology-business/gartner--global-it-spending-growth-stable.html

      [2] Nonaka I & Takeuchi H (1995), The Knowledge-Creating Company. Oxford Univ. Press, vol. 3, no. 4–5, pp. 25–27.

      [3] Alavi M & Leidner DE (2001), “Knowledge management and knowledge management systems: Conceptual foundations and research issuesâ€, MIS Quaterly, vol. 25, no. 1, pp. 107–136.

      [4] Smith PM & Meso P (2000), “A resource-based view of organizational knowledge management systemsâ€, J. Knowl. Manag., vol. 4, no. 3, pp. 224–234.

      [5] Abdullah R (2008), Knowledge Management System in a Collaborative Environment. Penerbit Universiti Putra Malaysia, Serdang.

      [6] Maier R (2002), Knowledge Management Systems. Springer, Verlag Berlin Heidelberg.

      [7] Fibuch E & Van Way CW (2011), “What is a knowledge management system ... and why should I care?â€, Physician Exec., vol. 37, no. 5, pp. 34–39.

      [8] O’Leary DE (1998), “Using Al in knowledge management: Knowledge bases and ontologiesâ€, IEEE Intell. Syst., pp. 34–39.

      [9] Joo J & Lee SM (2009), “Adoption of the Semantic Web for overcoming technical limitations of knowledge management systemsâ€, Expert Syst. Appl., vol. 36, no. 3 PART 2, pp. 7318–7327.

      [10] Davies J, Lytras M & Sheth AP (2007), “Guest editors’ introduction: Semantic-web-based knowledge managementâ€, IEEE Internet Comput., vol. 11, no. 5, pp. 14–16.

      [11] Davies J, Fensel D & van Harmelen F (2003), Towards the Semantic Web: Ontology-driven Knowledge Management. John Wiley & Sons, West Sussex, England.

      [12] Berners-Lee T, Hendler J & Lassilia O (2001), “The Semantic Web,†Scientific American, vol. 284, no. 5, pp. 34–44.

      [13] Tello-Leal E, Rios-Alvarado AB & Diaz-Manriquez A (2015), “A Semantic Knowledge Management System for Government Repositories,†26th International Workshop on Database and Expert Systems Applications (DEXA), pp. 168–172, https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406287

      [14] DeLone WH & McLean ER (1992), “Information Systems Success: The Quest for the Dependent Variableâ€, Inf. Syst. Res., vol. 3, no. 1, pp. 60–95.

      [15] Hamilton S & Chervany N (1981), “Evaluating Information Systems Effectiveness - Part I: Comparing Evaluation Approachesâ€, MIS Q., vol. 5, no. 3, pp. 55–69.

      [16] DeLone WH & Mclean ER (2003), “The DeLone and McLean Model of Information Systems Success: A Ten-Year Updateâ€, J. Manag. Inf. Syst., vol. 19, no. 4, pp. 9–30,.

      [17] Seddon PB (1997), “A Respecification and Extension of the DeLone and McLean Model of IS Successâ€, Information Systems Research, vol. 8, no. 3. pp. 240–253.

      [18] Jennex M & Olfman L (2003), “A Knowledge Management Success Model: An Extension of DeLone and McLean’s IS Success Modelâ€, Proc. 9th Am. Conf. Inf. Syst. (AMCIS 03), pp. 2529–2539.

      [19] Kulkarni UR, Ravindran S & Freeze R (2006), “A Knowledge Management Success Model: Theoretical Development and Empirical Validationâ€, J. Manag. Inf. Syst., vol. 23, no. 3, pp. 309–347.

      [20] Wu JH & Wang YM (2006), “Measuring KMS success: A respecification of the DeLone and McLean’s modelâ€, Inf. Manag., vol. 43, no. 6, pp. 728–739.

      [21] Ali N, Che Cob Z & Sulaiman H (2016), “Knowledge Management Systems Success Model for Higher Education Institutions : A Partial Least Square Approachâ€, Knowledge Management International Conference (KMICe), pp. 29–30.

      [22] Jan AU & Contreras V (2016), “Success model for knowledge management systems used by doctoral researchersâ€, Comput. Human Behav., vol. 59, pp. 258–264.

      [23] Halawi L, McCarthy RV & Aronson JE (2008), “An Empirical Investigation of Knowledge Management Systems Successâ€, J. Comput. Inf. Syst., vol. 48, no. 2, pp. 121–135.

      [24] Mccall H & Sutton SG (2008), “Use of Knowledge Management Systems and the Impact on the Acquisition of Explicit Knowledgeâ€, J. Inf. Syst., vol. 22, no. 2, pp. 77–101.

      [25] Dictionaries (2017), “Knowledgeâ€, available online: https://en.oxforddictionaries.com/definition/knowledge

      [26] Assegaff S & Che Hussin AR (2012), “Review of knowledge management systems as socio-technical systemâ€, Int. J. Comput. Sci. Issues, vol. 9, no. 5, pp. 129–135.

      [27] Offsey S (1997), “Knowledge Management: Linking People to Knowledge for Bottom Line Resultsâ€, J. Knowl. Manag., vol. 1, no. 2, pp. 113–122.

      [28] Maier R & Hädrich T (2006), “Centralized versus peer-to-peer knowledge management systemsâ€, Knowl. Process Manag., vol. 13, pp. 47–61.

      [29] Domingue J, Fensel D & Hendler JA (2011), “Introduction to the Semantic Web Technologiesâ€, Handbook of Semantic Web Technologies. Springer-Verlag, Berlin Heidelberg, pp. 3–42.

      [30] Stumme G, Hotho A & Berendt B (2006), “Semantic Web MiningState of the art and future directionsâ€, Web Semant. Sci. Serv. Agents World Wide Web, vol. 4, pp. 124–143.

      [31] Thangaraj M & Sujatha G (2014), “An architectural design for effective information retrieval in semantic webâ€, Expert Syst. Appl., vol. 41, no. 18, pp. 8225–8233.

      [32] Ding Y, Fensel D, Klein M & Omelayenko B (2002), “The semantic web: Yet another hip?â€, Data Knowl. Eng., vol. 41, no. 2–3, pp. 205–227.

      [33] Shadbolt N, Hall W & Berners-Lee T (2006), “The Semantic Web Revisitedâ€, IEEE Intell. Syst., pp. 96–101.

      [34] Antoniou G & VanHarmelen F (2004), A Semantic Web Primer. MIT Press. Cambridge, MA, USA.

      [35] Joo J (2011), “Adoption of Semantic Web from the perspective of technology innovation: A grounded theory approachâ€, Int. J. Hum. Comput. Stud., vol. 69, no. 3, pp. 139–154.

      [36] Maier R (2002), Knowledge Management Systems: Information and Communication Technologies for Knowledge Management. Springer-Verlag Berlin Heidelberg.

      [37] Shannon CE & Weaver W (1949), The Mathematical Theory of Communication. University of Illinois Press, Urbana.

      [38] Jennex ME & Olfman L (2004), “Assessing Knowledge Management Success / Effectiveness Models,†Proc. 37th Hawaii Int. Conf. Syst. Sci., pp. 1–10.

      [39] Che-Cob Z and Abdullah R (2017), “Modelling a Semantic Knowledge Management System for Collaborative Learning Environment Using a Structural Equation Modellingâ€, J. Telecommun. Electron. Comput. Eng., vol. 9, no. 29.

      [40] Bock GW, Sabherwal R & Qian ZJ (2008), “The effect of social context on the success of knowledge repository systemsâ€, IEEE Trans. Eng. Manag., vol. 55, no. 4, pp. 536–551.

      [41] Bowman BJ (2002), “Building knowledge management systemsâ€, Inf. Syst. Manag., vol. 19, no. 3, pp. 32–40.

      [42] Shin B (2003), “An exploratory investigation of system success factors in data warehousingâ€, J. AIS, vol. 4, pp. 141–170.

      [43] Urbach N & Ahlemann F (2010), “Structural equation modeling in information systems research using Partial Least Square Least Squares,†Inf. Syst. Res., vol. 11, no. 2, pp. 5–40.

      [44] Ringle C, Wende S & Becker JM, “SmartPLS3â€, Boenningstedt:SmartPLS, 2017. Available online: http://www.smartpls.com.

      [45] Hulland J (1999), “Use of pertial least squares (PLS) in strategic management research: A review of four recent studiesâ€, Strateg. Manag. J., vol. 20, no. 4, pp. 195–205.

      [46] Anderson J & Gerbing J (1988), “Structural equation modeling in practice: a review and recommended two-step approachâ€, Psychol. Bull., vol. 103, no. 3, pp. 411–423.

      [47] Hair JF, Hult GTM, Ringle C & Sarstedt M (2017), A Primer on Partial Least Squares Structural Equation Modeling (PlS-SEM), 2nd Editio. SAGE Publications Inc., Los Angeles.

      [48] Nunally JC (1978), Psychometric theory, 2nd Editio. McGraw-Hill, New York.

      [49] Gefen D, Straub D & Boudreau MC (2000), “Structural Equation Modeling and Regression: Guidelines for Research Practiceâ€, Commun. Assoc. Inf. Syst., vol. 4, no. 7.

      [50] Byrne BM (2010), Structural equation modeling with AMOS: Basic concepts, applications, and programming, 2nd Editio. Taylor & Francis Group, Routledge.

      [51] Hair JJ, Black W, Babin B & Anderson R (2010), Multivariate Data Analysis. Prentice Hall, Upper Saddle River, NJ.

      [52] Fornell C & Larcker DF (1981), “Evaluating structural equation models with unobservable variables and measurement errorâ€, J. Mark. Res., vol. 18, no. 1, pp. 39–50.

      [53] Hensler J, Ringle CM, and Sarstedt M (2015), “A new criterion for assessing discriminant validity in variance-based structural equation modelingâ€, J. Acad. Mark. Sci., vol. 43, no. 1, pp. 115–135.

      [54] Chin W (1998), “The partial least squares approach for structural equation modelingâ€, Modern Methods for Business Research, Lawrence Erlbaum Associates, London. pp. 295–336.

      [55] Henseler J, Ringle CM & Sinkovics RR (2009), “The use of partial least squares path modeling in international marketingâ€, Adv. Int. Mark., vol. 20, pp. 277–319.

      [56] Creswell JW (2013), Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. SAGE Publications, Inc. Thousand Oaks, CA, United States.

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  • How to Cite

    Babangida Umar, A., Ja’afar, A., A. Jabar, M., & Azrifah Azmi Murad, M. (2018). A Success Model for Semantic Technology based - Knowledge Management Systems: an Empirical Investigation. International Journal of Engineering & Technology, 7(4.31), 151-159. https://doi.org/10.14419/ijet.v7i4.31.23359

    Received date: 2018-12-07

    Accepted date: 2018-12-07

    Published date: 2018-12-09