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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 318–340 (1989)
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)
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
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
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
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
Chinnery, G.M.: Emerging technologies: going to the mall: mobile assisted language learning. Lang. Learn. Technol. 10(1), 9–16 (2006)
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
Kukulska-Hulme, A.: Will mobile learning change language learning? ReCALL 21(2), 157–165 (2009)
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
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
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)
ISO/IEC 25010:2011. https://www.iso.org/obp/ui/#iso:std:iso-iec:25010:ed-1:v1:en
ISO 9241-11:2018. https://www.iso.org/obp/ui/#iso:std:iso:9241:-11:ed-2:v1:en
Cooper, H.: Research Synthesis and Meta-Analysis: A Step-by-Step Approach, vol. 2. Sage publications, Thousand Oaks (2016)
Marangunić, N., Granić, A.: Technology acceptance model: a literature review from 1986 to 2013. Univ. Access Inf. Soc. 14(1), 81–95 (2015)
Kuciapski, M.: A model of mobile technologies acceptance for knowledge transfer by employees. J. Knowl. Manag. 21(5), 1053–1076 (2017)
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)
Durst, S., Edvardsson, I.R.: Knowledge management in SMEs: a literature review. J. Knowl. Manag. 16(6), 879–903 (2012)
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)
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)
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)
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
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)
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)
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
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)
McKenna, B., Tuunanen, T., Gardner, L.: Consumers’ adoption of information services. Inf. Manag. 50(5), 248–257 (2013)
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)
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)
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)
Nassuora, A.B.: Students acceptance of mobile learning for higher education in Saudi Arabia. Int. J. Learn. Manag. Syst. 1, 1–9 (2013)
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)
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
Anderson, J.C., Gerbing, D.W.: Structural equation modeling in practice: a review and recommended two-step approach. Psychol. Bull. 103, 411–423 (1988)
McDonald, R.P., Ho, M.H.: Principles and practice in reporting structural equation analysis. Psychol. Methods 7(1), 64–82 (2002)
Cronbach, L.J., Shavelson, R.J.: My current thoughts on coefficient alpha and successor procedures. Educ. Psychol. Measur. 64(3), 391–418 (2004)
Sekaran, U., Bougie, R.: Research Methods for Business: A Skill Building Approach, 7th edn. Wiley, Hoboken (2016)
Cronbach, L.J.: Coefficient alpha and the internal structure of tests. Psychometrika 16(3), 297–334 (1951). https://doi.org/10.1007/BF02310555
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-030-29608-7_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-29607-0
Online ISBN: 978-3-030-29608-7
eBook Packages: Computer ScienceComputer Science (R0)