PERSONAL FACTORS AS PREDICTORS OF INTENTION TO USE IT

Authors

  • Tutuk Ari Arsanti Universitas Kristen Satya Wacana, Salatiga 50711, Indonesia
  • Emalia Yuliasari Universitas Kristen Satya Wacana, Salatiga 50711, Indonesia

:

https://doi.org/10.9744/jmk.20.2.129–136

Keywords:

Personal innovation, perceived usefulness, perceived ease of use, attitude, intention to use

Abstract

The relative power of personal factors such as innovativeness, perceived usefulness, ease of use, and attitude in predicting intention to use IT was tested with 35 students through a field experiment. A common employment website in Indonesia called jobstreet. com is used as a treatment channeling instrument as well as relevant audio and visual media. Simple and multiple regression were used to test the hypotheses. Our findings show that the personal factors such as personal innovation could predict perceived ease of use better than perceived usefulness. The other personal factors such as individual perception (perceived ease of use and perceived usefulness) could predict attitude for the next to effect intention to use IT

References

Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204–215.

Aisyah. N. M., Nugroho, M. A., & Sagoro, E. M. (2014). Pengaruh technology readiness terhadap penerimaan teknologi komputer pada umkm di Yogyakarta. Jurnal Economia, 10(2), 105–119.

Bartram, D. (2000). Internet recruitment and selection: Kissing frogs to find princes. International Journal of Selection and Assessment, 8(4), 261–274.

Bassett, B. (2008). Working with generation y. Office Pro, 68(2), 16–19.

Bhattacherjee, A. (2000). Acceptance of internet applications services: The case of electronic brokerages. IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Humans, 30(4), 411–420.

Braddy, P. W., Meade, A. W., & Kroustalis, C. M. (2008). Online recruiting: The effects of orga-nizational familiarity, website usability, and website attractiveness on viewers impressions of organizations. Computers in Human Behavior, 24, 2992–3001.

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003.

Ghazzawi, K., & Accoumeh. A. (2014). Critical success factors of the erecruitment system. Journal of Human Resources Management and Labor Studies, 2(2), 159–170.

Ghazzawi, K., Al-Khoury, P., & Saman. J. (2014). The effect of implementing technology in hrm on the level of employee motivation. Human Resource Management Research, 4(2), 33–39.

Hsu, M. W. (2016). An analysis of intention to use in innovative product development model through tam model. Eurasia Journal of Mathematics, Science & Technology Education, 12(3), 487–501.

Ko, C. H., Pei, L., & Tsai, Y. H. (2016). A study of employees’ perception of information technology adoption in hotels. International Journal of Organizational Innovation, 8(3), 231–238.

Kuo. Y. F., & Yen. S. N. (2009). Towards an understanding of the behavioral intention to use 3G mobile value-added services. Computers in Human Behavior, 25(1), 103–110.

Lee. M. C. (2009). Predicting and explaining the adoption of online trading: An empirical study in Taiwan. Decision Support Systems, 47, 133–142.

Lewis, W., Agarwal. R., & Sambaburthy, V. (2003). Sources of influence on beliefs about in-formation technology use: An empirical study of knowledge workers. MIS Quarterly, 27(4), 657–678.

Lin, H. F. (2006). Understanding behavioral intention to participate in virtual communities. Cyber Psychology and Behavior, 9(5), 540–547.

------------ (2010). Applicability of the extended theory of planned behavior in predicting job seeker intentions to use job search websites. International. Journal of Selection and Assessment, 18(1), 64–74.

Mondy, R. W. (2008). Manajemen sumber daya manusia. Jilid 1 Edisi 10. Jakarta: Erlangga.

Sayid, O., & Echchabi, A. (2013). Attitude of Somali customers towards mobile banking services: The case of Zaad and Sahal services. Economic Insights – Trends and Challenges, II/LXV(3), 9–16.

Sugiyono. (2013). Metode penelitian kuantitatif, kualitatif dan r & d. Bandung: Alfabeta.

Susanti, Y., & Gunarsih, T. (2008). Pengaruh sikap terhadap perilaku, faktor sosial dan kontrol keperilakuan yang dirasakan terhadap minat pembelian tiket pesawat secara online. A paper presented on National Conference on Management Research 2008, Makassar, Indonesia.

Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144–176.

Utama, A., Wibowo, A., & Nurhadi. (2014). Pengaruh faktor individu terhadap keyakinan manfaat menggunakan teknologi informasi. Jurnal Economia, 10(2), 177–186.

Walczuch, R., Lemmink, J., & Streukens, S. (2007). The effect of service employees’ technology readiness on technology acceptance. Information & Management, 44, 206–215.

Wibowo. (2013). Perilaku dalam organisasi. Edisi 2. Jakarta: Rajawali Pers.

Yi, M. Y., Fiedler, K. D., & Park, J. S. (2006). Under-standing the role of individual innovativeness in the acceptance of it-based innovations: Comparative analyses of models and measures. Decision Sciences Institute, 37(3), 393–426.

Zarmpou, T., Saprikis, V., Markos, A., & Vlachopoulou, M. (2012). Modeling users’ acceptance of mobile services. Electronic Commerce Research, 12(2), 225–248.

Downloads

Published

2018-10-01

How to Cite

Arsanti, T. A., & Yuliasari, E. (2018). PERSONAL FACTORS AS PREDICTORS OF INTENTION TO USE IT. Jurnal Manajemen Dan Kewirausahaan, 20(2), 129–136. https://doi.org/10.9744/jmk.20.2.129–136