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Towards a conceptual model for examining the impact of knowledge management factors on mobile learning acceptance

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  • Al-Emran, Mostafa
  • Mezhuyev, Vitaliy
  • Kamaludin, Adzhar

Abstract

A vast amount of research has been devoted to examine the determinants influencing the acceptance of Mobile learning (M-learning). Nevertheless, little is known about studying the effect of knowledge management (KM) factors on M-learning acceptance. Therefore, the core objective of the present study is to develop a conceptual model by extending the technology acceptance model (TAM) with KM factors (acquisition, sharing, application, and protection) to examine the M-learning acceptance. This study employs the Partial Least Squares-Structural Equation Modeling (PLS-SEM) to validate the developed model. Data were gathered from 416 IT undergraduate students registered at Universiti Malaysia Pahang (UMP) in Malaysia. The results triggered out that knowledge acquisition, application, and protection have positive impacts on perceived ease of use and perceived usefulness. However, knowledge sharing was observed to be partially supported with regard to perceived ease of use and perceived usefulness. The implications to theory and practice, limitations, and future work are also discussed.

Suggested Citation

  • Al-Emran, Mostafa & Mezhuyev, Vitaliy & Kamaludin, Adzhar, 2020. "Towards a conceptual model for examining the impact of knowledge management factors on mobile learning acceptance," Technology in Society, Elsevier, vol. 61(C).
  • Handle: RePEc:eee:teinso:v:61:y:2020:i:c:s0160791x19304774
    DOI: 10.1016/j.techsoc.2020.101247
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    1. Eric D. Darr & Linda Argote & Dennis Epple, 1995. "The Acquisition, Transfer, and Depreciation of Knowledge in Service Organizations: Productivity in Franchises," Management Science, INFORMS, vol. 41(11), pages 1750-1762, November.
    2. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    3. Jae-Nam Lee & Minh Q. Huynh & Rudy Hirschheim, 2008. "An integrative model of trust on IT outsourcing: Examining a bilateral perspective," Information Systems Frontiers, Springer, vol. 10(2), pages 145-163, April.
    4. Iglesias-Pradas, Santiago & Hernández-García, Ángel & Fernández-Cardador, Pedro, 2015. "Social factors' influences on corporate wiki acceptance and use," Journal of Business Research, Elsevier, vol. 68(7), pages 1481-1487.
    5. Rong Du & Lili Liu & Detmar W. Straub & Michael B. Knight, 2017. "The impact of espoused national cultural values on innovative behaviour: an empirical study in the Chinese IT-enabled global service industry," Asia Pacific Business Review, Taylor & Francis Journals, vol. 23(3), pages 354-372, May.
    6. Ikujiro Nonaka, 1994. "A Dynamic Theory of Organizational Knowledge Creation," Organization Science, INFORMS, vol. 5(1), pages 14-37, February.
    7. Pedro Soto-Acosta & Simona Popa & Daniel Palacios-Marqués, 2017. "Social web knowledge sharing and innovation performance in knowledge-intensive manufacturing SMEs," The Journal of Technology Transfer, Springer, vol. 42(2), pages 425-440, April.
    8. Naji Shukri Alzaza & Abdul Razak Yaakub, 2011. "Students' Awareness and Requirements of Mobile Learning Services in the Higher Education Environment," American Journal of Economics and Business Administration, Science Publications, vol. 3(1), pages 95-100, January.
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    8. Albayati, Hayder & Kim, Suk Kyoung & Rho, Jae Jeung, 2020. "Accepting financial transactions using blockchain technology and cryptocurrency: A customer perspective approach," Technology in Society, Elsevier, vol. 62(C).
    9. Sepasgozar, Samad M.E., 2022. "Immersive on-the-job training module development and modeling users’ behavior using parametric multi-group analysis: A modified educational technology acceptance model," Technology in Society, Elsevier, vol. 68(C).
    10. Yuanqin Ge, 2022. "RETRACTED ARTICLE: The impact of dynamic knowledge management capability on enterprise innovation performance," Operations Management Research, Springer, vol. 15(3), pages 1048-1059, December.
    11. Lin, Shu Hsu & Lee, Hsing-Chen & Chang, Ching-Ter & James Fu, Changjui, 2020. "Behavioral intention towards mobile learning in Taiwan, China, Indonesia, and Vietnam," Technology in Society, Elsevier, vol. 63(C).

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