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A Study of the Impact of Internal and External Usability on Knowledge Transfer by the Means of Mobile Technologies: Preliminary Results

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 359))

Abstract

In this paper, we raise a discussion on the results of an empirical study of the impact of internal and external usability on knowledge transfer by the means of mobile technologies. Firstly, based on an extensive literature review and analysis, we have identified both technology acceptance and usability models with their associated variables, along with their definitions. Secondly, having formulated inclusion (exclusion) criteria, we have selected 10 variables, namely perceived enjoyment, activities availability, system accessibility, cognitive load, performance expectancy, user autonomy, relative usability, learnability, memorability and facilitating conditions. In general, this set constitutes both upper-level internal and external usability variables. To collect data we have used the survey instrument, which in a pilot study was successfully submitted to 70 employees who declared themselves to be advanced users of mobile devices, applications and services. The results of the statistical analysis show that only external usability impacts the intention by employees to use mobile technologies for knowledge transfer. On the other hand, being an external variable, it also has an impact on internal usability, which means that the perceived usability of mobile applications directly depends on the perceived usability of mobile devices, in particular, the perceived performance of the installed operating system.

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References

  1. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 318–340 (1989)

    Article  Google Scholar 

  2. Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: a comparison of two theoretical models. Manag. Sci. 35(8), 982–1003 (1989)

    Article  Google Scholar 

  3. Legris, P., Ingham, J., Collerette, P.: Why do people use information technology? A critical review of the technology acceptance model. Inf. Manag. 40(3), 191–204 (2003). https://doi.org/10.1016/S0378-7206(01)00143-4

    Article  Google Scholar 

  4. Scherer, R., Hatlevik, O.E.: “Sore eyes and distracted” or “excited and confident”? – The role of perceived negative consequences of using ICT for perceived usefulness and self- efficacy. Comput. Educ. 115, 188–200 (2017). https://doi.org/10.1016/j.compedu.2017.08.003

    Article  Google Scholar 

  5. Ozturk, A.B., Bilgihan, A., Nusair, K., Okumus, F.: What keeps the mobile hotel booking users loyal? Investigating the roles of self-efficacy, compatibility, perceived ease of use, and perceived convenience. Int. J. Inf. Manag. 36(6), 1350–1359 (2016). https://doi.org/10.1016/j.ijinfomgt.2016.04.005

    Article  Google Scholar 

  6. Kuciapski, M.: Students acceptance of m-learning for higher education – UTAUT model validation. In: Wrycza, S. (ed.) SIGSAND/PLAIS 2016. LNBIP, vol. 264, pp. 155–166. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-46642-2_11

    Chapter  Google Scholar 

  7. Chinnery, G.M.: Emerging technologies: going to the mall: mobile assisted language learning. Lang. Learn. Technol. 10(1), 9–16 (2006)

    Google Scholar 

  8. Weichbroth, P.: Delivering usability in IT products: empirical lessons from the field. Int. J. Softw. Eng. Knowl. Eng. 28(7), 1027–1045 (2018). https://doi.org/10.1142/S0218194018500298

    Article  Google Scholar 

  9. Kukulska-Hulme, A.: Will mobile learning change language learning? ReCALL 21(2), 157–165 (2009)

    Article  Google Scholar 

  10. Lai, C., Zheng, D.: Self-directed use of mobile devices for language learning beyond the classroom. ReCALL 30(3), 1–20 (2017). https://doi.org/10.1017/S0958344017000258

    Article  Google Scholar 

  11. Redlarski, K., Weichbroth, P.: Hard lessons learned: delivering usability in IT projects. In: Federated Conference on Computer Science and Information Systems (FedCSIS), pp. 1379–1382. IEEE (2016). https://doi.org/10.15439/2016f20

  12. Redlarski, K.: The impact of end-user participation in IT projects on product usability. In: Proceedings of the International Conference on Multimedia, Interaction, Design and Innovation (MIDI), pp. 1–8 (2013)

    Google Scholar 

  13. ISO/IEC 25010:2011. https://www.iso.org/obp/ui/#iso:std:iso-iec:25010:ed-1:v1:en

  14. ISO 9241-11:2018. https://www.iso.org/obp/ui/#iso:std:iso:9241:-11:ed-2:v1:en

  15. Cooper, H.: Research Synthesis and Meta-Analysis: A Step-by-Step Approach, vol. 2. Sage publications, Thousand Oaks (2016)

    Google Scholar 

  16. Marangunić, N., Granić, A.: Technology acceptance model: a literature review from 1986 to 2013. Univ. Access Inf. Soc. 14(1), 81–95 (2015)

    Article  Google Scholar 

  17. Kuciapski, M.: A model of mobile technologies acceptance for knowledge transfer by employees. J. Knowl. Manag. 21(5), 1053–1076 (2017)

    Google Scholar 

  18. Costa, E., Soares, A.L., de Sousa, J.P.: Information, knowledge and collaboration management in the internationalisation of SMEs: a systematic literature review. Int. J. Inf. Manag. 36(4), 557–569 (2016)

    Article  Google Scholar 

  19. Durst, S., Edvardsson, I.R.: Knowledge management in SMEs: a literature review. J. Knowl. Manag. 16(6), 879–903 (2012)

    Article  Google Scholar 

  20. Harrison, R., Flood, D., Duce, D.: Usability of mobile applications: literature review and rationale for a new usability model. J. Interact. Sci. 1(1), 1–16 (2013)

    Article  Google Scholar 

  21. Shu-Sheng, L., Hatala, M., Huang, H.-M.: Investigating acceptance toward mobile learning to assist individual knowledge management: based on activity theory approach. Comput. Educ. 54(2), 446–454 (2010)

    Article  Google Scholar 

  22. Park, S.Y., Nam, M.-W., Seung-Bong, C.: University students’ behavioral intention to use mobile learning: evaluating the technology acceptance model. Br. J. Edu. Technol. 43(4), 592–605 (2012)

    Article  Google Scholar 

  23. Cheon, J., Lee, S., Crooks, S.M., Song, J.: An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Comput. Educ. 59(3), 1054–1064 (2012). https://doi.org/10.1016/j.compedu.2012.04.015

    Article  Google Scholar 

  24. Park, E., Baek, S., Ohm, J., Chang, H.J.: Determinants of player acceptance of mobile social network games: an application of extended technology acceptance model. Telematics Inform. 31, 3–15 (2014)

    Article  Google Scholar 

  25. Burney, S.A., Ali, S.A., Ejaz, A., Siddiqui, F.A.: Discovering the correlation between technology acceptance model and usability. Int. J. Comput. Sci. Netw. Secur. 17(11), 53–61 (2017)

    Google Scholar 

  26. Praveena, K., Thomas, S.: Continuance intention to use Facebook: a study of perceived enjoyment and TAM. Int. J. Ind. Eng. Manag. Sci. 4(1), 24–29 (2014). https://doi.org/10.9756/BIJIEMS.4794

    Article  Google Scholar 

  27. Echeng, R., Usoro, A.: Enhancing the use of web 2.0 technologies in higher education: students’ and lectures’ views. J. Int. Technol. Inf. Manag. 25(1), 89–106 (2016)

    Google Scholar 

  28. McKenna, B., Tuunanen, T., Gardner, L.: Consumers’ adoption of information services. Inf. Manag. 50(5), 248–257 (2013)

    Article  Google Scholar 

  29. Chiu, C.M., Wang, E.T.G.: Understanding web-based learning continuance intention: the role of subjective task value. Inf. Manag. 45(3), 194–201 (2008)

    Article  MathSciNet  Google Scholar 

  30. Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 27(3), 425–478 (2003)

    Article  Google Scholar 

  31. Al Awadhi, S., Morris, A.: The use of the UTAUT model in the adoption of e-government services in Kuwait. In: Proceedings of the 41st Annual Hawaii International Conference on System Sciences, p. 219 (2008)

    Google Scholar 

  32. Nassuora, A.B.: Students acceptance of mobile learning for higher education in Saudi Arabia. Int. J. Learn. Manag. Syst. 1, 1–9 (2013)

    Article  Google Scholar 

  33. Hadie, S.N.H., Yusoff, M.S.B.: Assessing the validity of the cognitive load scale in a problem-based learning setting. J. Taibah Univ. Med. Sci. 11(3), 194–202 (2016)

    Google Scholar 

  34. Wang, T., Jung, C.H., Kang, M.H., Chung, Y.S.: Exploring determinants of adoption intentions towards enterprise 2.0 applications: an empirical study. Behav. Inf. Technol. 33(10), 1048–1064 (2014). https://doi.org/10.1080/0144929x.2013.781221

    Article  Google Scholar 

  35. Anderson, J.C., Gerbing, D.W.: Structural equation modeling in practice: a review and recommended two-step approach. Psychol. Bull. 103, 411–423 (1988)

    Article  Google Scholar 

  36. McDonald, R.P., Ho, M.H.: Principles and practice in reporting structural equation analysis. Psychol. Methods 7(1), 64–82 (2002)

    Article  Google Scholar 

  37. Cronbach, L.J., Shavelson, R.J.: My current thoughts on coefficient alpha and successor procedures. Educ. Psychol. Measur. 64(3), 391–418 (2004)

    Article  MathSciNet  Google Scholar 

  38. Sekaran, U., Bougie, R.: Research Methods for Business: A Skill Building Approach, 7th edn. Wiley, Hoboken (2016)

    Google Scholar 

  39. Cronbach, L.J.: Coefficient alpha and the internal structure of tests. Psychometrika 16(3), 297–334 (1951). https://doi.org/10.1007/BF02310555

    Article  MATH  Google Scholar 

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Correspondence to Michał Kuciapski .

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Weichbroth, P., Kuciapski, M. (2019). A Study of the Impact of Internal and External Usability on Knowledge Transfer by the Means of Mobile Technologies: Preliminary Results. In: Wrycza, S., Maślankowski, J. (eds) Information Systems: Research, Development, Applications, Education. SIGSAND/PLAIS 2019. Lecture Notes in Business Information Processing, vol 359. Springer, Cham. https://doi.org/10.1007/978-3-030-29608-7_3

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  • DOI: https://doi.org/10.1007/978-3-030-29608-7_3

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