Exploring The Drivers of Technology Acceptance: A study on Pakistani University Student

Shamshad, Aiman and Mumtaz, Tasmia and Muhammad, Uzair and Abdul, Haseeb and Shah, Syed Jibran Ali (2020): Exploring The Drivers of Technology Acceptance: A study on Pakistani University Student.

Abstract

The purpose of this study is to validate the technology acceptance model (TAM) in an educational context to explore the drivers of technology on students of Pakistani university. Technologies have extended the teaching quality and open the new doors for the student to make their career highly professional. The data were collected from 508 students through online questionnaire in Pakistan. For analyzing the research model PLS-SEM partial least squares method to structural equation modeling was chosen to analyze the effect of Trialability, Attitude towards technology, Behavior intention, perceived ease of use, perceived enjoyment, facilitating condition, Perceived usefulness, Technology complexity and demographic factors. The gap which we have find is about underprivileged countries that are poor in technology and have not get advancement and success in there so many countries yet. Limitation for this study are we have collected the data from university students. The research is based on descriptive research. Researchers choose a no probabilistic convenience sampling technique to collect data as it is fast, inexpensive and easy. The finding of this study is that all the independent variable has positive and significant relationship with dependent variable. We recommend that future researcher can add more variable to the research and use most updated software version.

• Item Type: MPRA Paper
• Language: English
• Keywords: Trial ability, Facilitating Condition, Technology Complexity.
• Subjects: I - Health, Education, and Welfare > I0 - General

References

Abbas, T. (2016). Social factors affecting students’ acceptance of e-learning environments in developing and developed countries: A structural equation modeling approach. Journal of Hospitality and Tourism Technology, 7(2), 200-212.

Adedoja, G., & Morakinyo, D. A. (2016). Gender Influence on Undergraduates Students’ Acceptance of Mobile Learning Instruction Using Technology Acceptance Model (TAM). Asian Journal of Education and e-Learning (ISSN: 2321–2454), 4(02).

Alharbi, S., & Drew, S. (2014). Using the technology acceptance model in understanding academics’ behavioural intention to use learning management systems. International Journal of Advanced Computer Science and Applications, 5(1), 143-155.

Au, A. K. M., & Enderwick, P. (2000). A cognitive model on attitude towards technology adoption. Journal of Managerial Psychology

Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: A replication. MIS quarterly, 227-247.

Cheung, W., & Huang, W. (2005). Proposing a framework to assess Internet usage in university education: an empirical investigation from a student's perspective. British Journal of Educational Technology, 36(2), 237-253.

Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS quarterly, 189-211.

Doleck, T., Bazelais, P., & Lemay, D. J. (2017). Examining the antecedents of social networking sites use among CEGEP students. Education and Information Technologies, 22(5), 2103- 2123.

Doleck, T., Bazelais, P., & Lemay, D. J. (2017). Examining CEGEP students’ acceptance of computer-based learning environments: A test of two models. Education and Information Technologies, 22(5), 2523-2543.

Doleck, T., Bazelais, P., & Lemay, D. J. (2017). Examining the antecedents of Facebook acceptance via structural equation modeling: A case of CEGEP students. Knowledge Management & E-Learning: An International Journal, 9(1), 69-89

Doleck, T., Bazelais, P., & Lemay, D. J. (2018). The role of behavioral expectation in technology acceptance: a CEGEP case study. Journal of Computing in Higher Education, 30(3), 407- 425.

Edmunds, R., Thorpe, M., & Conole, G. (2012). Student attitudes towards and use of ICT in course study, work and social activity: A technology acceptance model approach. British journal of educational technology, 43(1), 71-84.

Etsebeth, E. E. (2013). Trialability, perceived risk and complexity of understanding as determinants of cloud computing services adoption (Doctoral dissertation, University of Pretoria).

Evans, C., Hackney, R., Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: an empirical study on Facebook. Journal of Enterprise Information Management.

Khaskheli, A., Jiang, Y., Raza, S. A., Qureshi, M. A., Khan, K. A., & Salam, J. (2020). Do CSR activities increase organizational citizenship behavior among employees? Mediating role of affective commitment and job satisfaction. Corporate Social Responsibility and Environmental Management, 27(6), 2941-2955.

Kim, H. J., Mannino, M., & Nieschwietz, R. J. (2009). Information technology acceptance in the internal audit profession: Impact of technology features and complexity. International Journal of Accounting Information Systems, 10(4), 214-228.

Lee, R. B., Baring, R., Maria, M. S., & Reysen, S. (2017). Attitude towards technology, social media usage and grade point average as predictors of global citizenship identification in Filipino University Students. International Journal of Psychology, 52(3), 213-219.

Lee, Y. H., Hsieh, Y. C., & Hsu, C. N. (2011). Adding innovation diffusion theory to the technology acceptance model: Supporting employees' intentions to use e-learning systems. Journal of Educational Technology & Society, 14(4), 124-137.

Lu, J., Yu, C. S., & Liu, C. (2005). Facilitating conditions, wireless trust and adoption intention. Journal of Computer Information Systems, 46(1), 17-24.

Manning, M. (2009). The effects of subjective norms on behaviour in the theory of planned behaviour: A meta analysis. British journal of social psychology, 48(4), 649-705.

Margaryan, A., Littlejohn, A., & Vojt, G. (2011). Are digital natives a myth or reality? University students’ use of digital technologies. Computers & education, 56(2), 429-440.

Parveen, F., & Sulaiman, A. (2008). Technology complexity, personal innovativeness and intention to use wireless internet using mobile devices in Malaysia. International Review of Business Research Papers, 4(5), 1-10.

Parveen, F., & Sulaiman, A. (2008). Technology complexity, personal innovativeness and intention to use wireless internet using mobile devices in Malaysia. International Review of Business Research Papers, 4(5), 1-10.

Praveena, K., & Thomas, S. (2014). Continuance intention to use Facebook: A study of perceived enjoyment and TAM. Bonfring International Journal of Industrial Engineering and Management Science, 4(1), 24-29.

Qazi, W., Qureshi, J. A., Raza, S. A., Khan, K. A., & Qureshi, M. A. (2020). Impact of personality traits and university green entrepreneurial support on students' green entrepreneurial intentions: the moderating role of environmental values. Journal of Applied Research in Higher Education.

Qazi, W., Raza, S. A., & Khan, K. A. (2020). The contradiction between self-protection and selfpresentation on knowledge sharing behaviour: evidence from higher education students in Pakistan. International Journal of Knowledge and Learning, 13(3), 246-271.

Raza, S. A., & Hanif, N. (2013). Factors affecting internet banking adoption among internal and external customers: a case of Pakistan. International Journal of Electronic Finance, 7(1), 82-96.

Raza, S. A., Qazi, W., & Umer, A. (2017). Facebook is a source of social capital building among university students: evidence from a developing country. Journal of Educational Computing Research, 55(3), 295-322.

Raza, S.A., Ahmed, R., Ali, M. and Qureshi, M.A. (2019), "Influential factors of Islamic insurance adoption: an extension of theory of planned behavior", Journal of Islamic Marketing, Vol. 11 No. 6, pp. 1497-1515

Raza, S. A., Qazi, W., Umer, B., & Khan, K. A. (2020). Influence of social networking sites on life satisfaction among university students: a mediating role of social benefit and social overload. Health Education.

Raza, S.A., Umer, A., Qureshi, M.A. and Dahri, A.S. (2020), "Internet banking service quality, ecustomer satisfaction and loyalty: the modified e-SERVQUAL model", The TQM Journal, Vol. 32 No. 6, pp. 1443-1466. https://doi.org/10.1108/TQM-02-2020-0019

Raza, S. A., Qazi, W., Khan, K. A., & Salam, J. (2020). Social Isolation and Acceptance of the Learning Management System (LMS) in the time of COVID-19 Pandemic: An Expansion of the UTAUT Model. Journal of Educational Computing Research, 0735633120960421.

Saadé, R., & Bahli, B. (2005). The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model. Information & management, 42(2), 317-327.

Schepers, J., & Wetzels, M. (2007). A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects. Information & management, 44(1), 90-103.

Sharif, A., & Raza, S. A. (2017). The influence of hedonic motivation, self-efficacy, trust and habit on adoption of internet banking: a case of developing country. International Journal of Electronic Customer Relationship Management, 11(1), 1-22.

Teo, T. (2011). Factors influencing teachers’ intention to use technology: Model development and test. Computers & Education, 57(4), 2432-2440.

Teo, T., & Noyes, J. (2011). An assessment of the influence of perceived enjoyment and attitude on the intention to use technology among pre-service teachers: A structural equation modeling approach. Computers & education, 57(2), 1645-1653.

Wong, K. T., Teo, T., & Russo, S. (2012). Influence of gender and computer teaching efficacy on computer acceptance among Malaysian student teachers: An extended technology acceptance model. Australasian Journal of Educational Technology, 28(7).

Yusuf, M. O., & Balogun, M. R. (2011). Student-teachers' competence and attitude towards Information and communication technology: A case study in a Nigerian University. Contemporary educational technology, 2(1), 18-36.

Zogheib, B., Rabaa’i, A., Zogheib, S., & Elsaheli, A. (2015). University student perceptions of technology use in mathematics learning. Journal of Information Technology Education, 14.