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Knowledge Management Adoption And Diffusion Using Structural Equation Modeling

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  • Li-Su Huang
  • Cheng-Po Lai

Abstract

Knowledge management facilitates the firms and employees to deliver better products and services and hence achieve competitive advantages and profits. The issues of knowledge management have drawn much attention form industry and academia. However, few reports have been found available investigating how knowledge management is adopted and diffused in organizations. This paper adopts structural equation modeling to investigate employees’ cognitions pertaining to knowledge management and their impacts on knowledge management activities based on Innovation Diffusion and Technology Acceptance Model with empirical data collected among the life insurance enterprises in Taiwan. The results indicate that perceived usefulness and subjective norm significantly influence the employees’ attitudes toward knowledge management, and the attitudinal factor significantly affects knowledge management practice. The findings assist organizations to recognize the value and associated obstacles of knowledge management. This paper also presents the instrument and comprehensive model which provides directions for future research.

Suggested Citation

  • Li-Su Huang & Cheng-Po Lai, 2014. "Knowledge Management Adoption And Diffusion Using Structural Equation Modeling," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 8(1), pages 39-56.
    • Handle: RePEc:ibf:gjbres:v:8:y:2014:i:1:p:39-56
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    References listed on IDEAS

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    1. Detmar Straub & Moez Limayem & Elena Karahanna-Evaristo, 1995. "Measuring System Usage: Implications for IS Theory Testing," Management Science, INFORMS, vol. 41(8), pages 1328-1342, August.
    2. Venkatesh, Viswanath & Morris, Michael G. & Ackerman, Phillip L., 2000. "A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes," Organizational Behavior and Human Decision Processes, Elsevier, vol. 83(1), pages 33-60, September.
    3. Sheppard, Blair H & Hartwick, Jon & Warshaw, Paul R, 1988. "The Theory of Reasoned Action: A Meta-analysis of Past Research with Recommendations for Modifications and Future Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(3), pages 325-343, December.
    4. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    5. Ogenyi Ejye Omar & Nana Owusu-Frimpong, 2007. "Life Insurance in Nigeria: An Application of the Theory of Reasoned Action to Consumers' Attitudes and Purchase Intention," The Service Industries Journal, Taylor & Francis Journals, vol. 27(7), pages 963-976, October.
    6. David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
    7. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    8. Krzysztof Ostaszewski, 2003. "Is Life Insurance a Human Capital Derivatives Business?," Journal of Insurance Issues, Western Risk and Insurance Association, vol. 26(1), pages 1-14.
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    Cited by:

    1. R. Anbumathi & R. Chitra Sivasubramanian, 2016. "Amalgamation of Talent and Knowledge Management Practices: A conceptual Research Model," Vision, , vol. 20(4), pages 278-289, December.

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    More about this item

    Keywords

    Knowledge Management; Structural Equation Modeling; Life Insurance;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General

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