Skip to main content

Examining the Effect of Knowledge Management Factors on Mobile Learning Adoption Through the Use of Importance-Performance Map Analysis (IPMA)

  • Conference paper
  • First Online:
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019 (AISI 2019)

Abstract

A tremendous amount of research indicated that KM factors have significant impacts on different technologies at the organizational level. What is not yet clear is the influence of these factors on technology adoption at the individual level. On the other hand, the understanding of students’ behavioral intention to use m-learning systems is still an ongoing research issue. Thus, the main theoretical contribution of this study is to investigate the impact of KM factors (i.e., acquisition, sharing, application, and protection) on m-learning adoption at the individual level, and to identify the importance and performance of each factor using the importance-performance map analysis (IPMA) technique through SmartPLS. A total of 319 IT undergraduate students enrolled at Al Buraimi University College in Oman took part in the study by the medium of online survey. In terms of importance, the empirical data analysis through IPMA exhibited that knowledge protection is the most important factor in determining the students’ behavioral intention to use m-learning. Concerning performance, the findings also triggered out that both knowledge sharing and knowledge protection perform well in determining the students’ behavioral intention to use m-learning.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ismail, M.I.B., Arshah, R.B.A.: The impacts of social networking sites in higher learning. Int. J. Softw. Eng. Comput. Syst. 2(1), 114–119 (2016)

    Google Scholar 

  2. Al-Qaysi, N., Mohamad-Nordin, N., Al-Emran, M.: A systematic review of social media acceptance from the perspective of educational and information systems theories and models. J. Educ. Comput. Res. (2018)

    Google Scholar 

  3. Malik, S.I., Al-Emran, M.: Social factors influence on career choices for female computer science students. Int. J. Emerg. Technol. Learn. 13(5), 56–70 (2018)

    Article  Google Scholar 

  4. Al-Emran, M., Shaalan, K.: Learners and educators attitudes towards mobile learning in higher education: state of the art. In: International Conference on Advances in Computing, Communications and Informatics, pp. 907–913 (2015)

    Google Scholar 

  5. Al-Emran, M., Alkhoudary, Y.A., Mezhuyev, V., Al-Emran, M.: Students and educators attitudes towards the use of m-learning: gender and smartphone ownership differences. Int. J. Interact. Mob. Technol. 13(1), 127–135 (2019)

    Article  Google Scholar 

  6. Al-Emran, M., Shaalan, K.: Academics’ awareness towards mobile learning in Oman. Int. J. Comput. Digit. Syst. 6(1), 45–50 (2017)

    Article  Google Scholar 

  7. Salloum, S.A., Al-Emran, M., Shaalan, K.: The impact of knowledge sharing on information systems: a review. In: 13th International Conference, KMO 2018 (2018)

    Google Scholar 

  8. Al-Emran, M., Mezhuyev, V., Kamaludin, A.: Students’ perceptions towards the integration of knowledge management processes in m-learning systems: a preliminary study. Int. J. Eng. Educ. 34(2), 371–380 (2018)

    Google Scholar 

  9. Jeong, H.Y., Hong, B.H.: A practical use of learning system using user preference in ubiquitous computing environment. Multimed. Tools Appl. 64(2), 491–504 (2013)

    Article  Google Scholar 

  10. Viberg, O., Grönlund, Å.: Cross-cultural analysis of users’ attitudes toward the use of mobile devices in second and foreign language learning in higher education: a case from Sweden and China. Comput. Educ. 69, 169–180 (2013)

    Article  Google Scholar 

  11. Al-Emran, M., Mezhuyev, V., Kamaludin, A., Shaalan, K.: The impact of knowledge management processes on information systems: a systematic review. Int. J. Inf. Manage. 43, 173–187 (2018)

    Article  Google Scholar 

  12. Lin, H.F., Lee, G.G.: Impact of organizational learning and knowledge management factors on e-business adoption. Manag. Decis. 43(2), 171–188 (2005)

    Article  Google Scholar 

  13. Garrido-Moreno, A., Lockett, N., García-Morales, V.: Paving the way for CRM success: the mediating role of knowledge management and organizational commitment. Inf. Manag. 51(8), 1031–1042 (2014)

    Article  Google Scholar 

  14. Cheung, R., Vogel, D.: Predicting user acceptance of collaborative technologies: an extension of the technology acceptance model for e-learning. Comput. Educ. 63, 160–175 (2013)

    Article  Google Scholar 

  15. Arpaci, I.: Antecedents and consequences of cloud computing adoption in education to achieve knowledge management. Comput. Hum. Behav. 70, 382–390 (2017)

    Article  Google Scholar 

  16. Lee, C., Lee, G., Lin, H.: The role of organizational capabilities in successful e-business implementation. Bus. Process Manag. J. 13(5), 677–693 (2007)

    Article  Google Scholar 

  17. Migdadi, M.M., Abu Zaid, M.K.S., Al-Hujran, O.S., Aloudat, A.M.: An empirical assessment of the antecedents of electronic-business implementation and the resulting organizational performance. Internet Res. 26(3), 661–688 (2016)

    Google Scholar 

  18. Almaiah, M.A.: Acceptance and usage of a mobile information system services in University of Jordan. Educ. Inf. Technol. 23(5), 1873–1895 (2018)

    Article  Google Scholar 

  19. Mohammadi, H.: Social and individual antecedents of m-learning adoption in Iran. Comput. Hum. Behav. 49, 191–207 (2015)

    Article  Google Scholar 

  20. Al-Emran, M., Mezhuyev, V., Kamaludin, A.: Technology acceptance model in m-learning context: a systematic review. Comput. Educ. 125, 389–412 (2018)

    Article  Google Scholar 

  21. He, M., Wang, T., Xiao, X.: Knowledge application process and assimilation of inter-organizational information systems: an empirical study. In: International Conference on Management Science & Engineering, pp. 916–922 (2010)

    Google Scholar 

  22. Yee-Loong Chong, A., Ooi, K.-B., Bao, H., Lin, B.: Can e-business adoption be influenced by knowledge management? An empirical analysis of Malaysian SMEs. J. Knowl. Manag. 18(1), 121–136 (2014)

    Google Scholar 

  23. Maditinos, D., Chatzoudes, D., Sarigiannidis, L.: Factors affecting e-business successful implementation. Int. J. Commer. Manag. 24(4), 300–320 (2014)

    Article  Google Scholar 

  24. Salloum, S.A., Al-Emran, M., Shaalan, K., Tarhini, A.: Factors affecting the e-learning acceptance: a case study from UAE. Educ. Inf. Technol. 24(1), 509–530 (2019)

    Article  Google Scholar 

  25. Lin, H.F.: The effects of knowledge management capabilities and partnership attributes on the stage-based e-business diffusion. Internet Res. 23(4), 439–464 (2013)

    Article  MathSciNet  Google Scholar 

  26. Al-Emran, M., Salloum, S.A.: Students’ attitudes towards the use of mobile technologies in e-evaluation. Int. J. Interact. Mob. Technol. 11(5), 195–202 (2017)

    Article  Google Scholar 

  27. Al-Qaysi, N., Al-Emran, M.: Code-switching usage in social media: a case study from Oman. Int. J. Inf. Technol. Lang. Stud. 1(1), 25–38 (2017)

    Google Scholar 

  28. Al-Emran, M., Malik, S.I.: The impact of Google apps at work: higher educational perspective. Int. J. Interact. Mob. Technol. 10(4), 85–88 (2016)

    Article  Google Scholar 

  29. Al-Maroof, R.A.S., Al-Emran, M.: Students acceptance of Google classroom: an exploratory study using PLS-SEM approach. Int. J. Emerg. Technol. Learn. 13(6), 112–123 (2018)

    Article  Google Scholar 

  30. Alfarsi, G., Alsinani, M.: Developing a mobile notification system for al Buraimi University College students. Int. J. Inf. Technol. Lang. Stud. 1(1), 10–16 (2017)

    Google Scholar 

  31. Ringle, C.M., Wende, S., Becker, J.-M.: SmartPLS 3. Bönningstedt: SmartPLS (2015)

    Google Scholar 

  32. Al-Emran, M., Mezhuyev, V., Kamaludin, A.: PLS-SEM in information systems research: a comprehensive methodological reference. In: 4th International Conference on Advanced Intelligent Systems and Informatics (AISI 2018), pp. 644–653 (2018)

    Google Scholar 

  33. Hair, J., Hollingsworth, C.L., Randolph, A.B., Chong, A.Y.L.: An updated and expanded assessment of PLS-SEM in information systems research. Ind. Manag. Data Syst. 117(3), 442–458 (2017)

    Article  Google Scholar 

  34. Hair Jr., J.F., Hult, G.T.M., Ringle, C., Sarstedt, M.: A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage Publications, Thousand Oaks (2016)

    Google Scholar 

  35. Henseler, J., Ringle, C.M., Sarstedt, M.: A new criterion for assessing discriminant validity in variance-based structural equation modeling. J. Acad. Mark. Sci. 43(1), 115–135 (2015)

    Article  Google Scholar 

  36. Ringle, C.M., Sarstedt, M.: Gain more insight from your PLS-SEM results: the importance-performance map analysis. Ind. Manag. Data Syst. 116(9), 1865–1886 (2016)

    Article  Google Scholar 

  37. Al-Emran, M., Mezhuyev, V., Kamaludin, A., AlSinani, M.: Development of M-learning application based on knowledge management processes. In: 2018 7th International conference on Software and Computer Applications (ICSCA 2018), pp. 248–253 (2018)

    Google Scholar 

  38. Al-Emran, M., Shaalan, K.: Attitudes towards the use of mobile learning: a case study from the gulf region. Int. J. Interact. Mob. Technol. 9(3), 75–78 (2015)

    Article  Google Scholar 

Download references

Acknowledgment

This work was supported by Universiti Malaysia Pahang, Malaysia, under the grant RDU190311 and RDU1703107.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mostafa Al-Emran .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Al-Emran, M., Mezhuyev, V. (2020). Examining the Effect of Knowledge Management Factors on Mobile Learning Adoption Through the Use of Importance-Performance Map Analysis (IPMA). In: Hassanien, A., Shaalan, K., Tolba, M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019. AISI 2019. Advances in Intelligent Systems and Computing, vol 1058. Springer, Cham. https://doi.org/10.1007/978-3-030-31129-2_41

Download citation

Publish with us

Policies and ethics