Kesesuaian Teknologi Cloud Storage Terhadap Tugas Pada Generasi Y (1981-2000) Yang Berdampak Terhadap Kinerja Individu

Authors

DOI:

https://doi.org/10.30872/jim.v14i1.1853

Keywords:

Kesesuaian Teknologi Terhadap Tugas, Generasi Y, Kinerja Individu, Cloud Storage.

Abstract

Generasi merupakan sekelompok individu yang lahir pada rentang kelahiran yang sama, di mana pada masa itu mempunyai keunikan yang terbentuk dari pengalaman, sejarah atau zaman yang sama. Organisasi memiliki generasi pengguna dengan rentang usia yang beragam, sehingga teknologi cloud storage yang digunakan juga harus memiliki kesesuaian, fleksibilitas, dan kemudahan dalam membantu menyelesaikan tugas-tugas. Perkembangan teknologi yang semakin pesat menyebabkan Generasi Y (1981 – 2000) tumbuh dan berkembang dalam iklim sangat kental dengan teknologi dan serbuan informasi yang serba cepat dan canggih. Generasi Y mampu memanfaatkan teknologi untuk berkembang dengan menjadikan teknologi sebagai kemudahan dalam bekerja. Penelitian ini bertujuan membuktikan hubungan faktor kesesuaian teknologi cloud storage terhadap tugas (task technology fit) yang mempengaruhi penggunaan (utilization) dan dampaknya terhadap kinerja individu (individual performance) pada Generasi Y pada perguruan tinggi di Kalimantan Timur. Penelitian ini menggunakan metode PLS-SEM dengan melibatkan 257 responden dari Generasi Y pada Perguruan Tinggi di Kalimantan Timur. Data diolah menggunakan SmartPLS versi 3.2. Hasil penelitian menunjukkan secara empiris model mampu menjelaskan 61% dari varians kinerja individu pada generasi Y dalam menggunakan teknologi cloud storage pada Perguruan Tinggi di Kalimantan Timur. Pada Faktor kesesuaian teknologi terhadap tugas (task technology fit) merupakan faktor yang mempengaruhi generasi y dalam penggunaan teknologi cloud storage. Kemudian faktor kesesuaian teknologi terhadap tugas (task technology fit) dan penggunaan (utilization) merupakan faktor yang memiliki hubungan positif berpengaruh signifikan terhadap peningkatan kinerja individu (individual performance) pada generasi y dalam menggunakan teknologi cloud storage pada perguruan tinggi di Kalimantan Timur. Berdasarkan hasil penelitian membuktikan bahwa semakin baik kesesuaian teknologi cloud storage yang digunakan terhadap tugas-tugas pada generasi y akan mempengaruhi dalam meningkatkan penggunaan dan berdampak terhadap kinerja individu.

Author Biographies

  • Putut Pamilih Widagdo, (Scopus ID : 57193736102, Mulawarman University)
    Bio Statement : 

     

  • Dedy Cahyadi, Mulawarman University
    Ilmu Komputer

References

Balbudhe, O. P. (2013). Cloud storage Reference Model for Cloud Computing. India.

Chin, W. W. (1998). The partial least squares approachto structural equation modelling. In G. A. Marcoulides (Ed.), Modern Methods for Business Research. In Modern Methods for Business Research (pp. 295–336).

Crampton, S. M., & Hodge, J. W. (2009). Generation Y : Unchartered Territory. Journal of Business & Economics Research, 7(4), 1–6. https://doi.org/10.1080/02723638.2013.778647

D’Ambra, J., & Wilson, C. S. (2004). Explaining perceived performance of the World Wide Web: uncertainty and the task-technology fit model. Internet Research, 14(4), 294–310.

Eisner. (2005). Managing Generation Y. In SAM 2005 International Business Confrence Proceedings (pp. 4–15). New Jersey.

Fark, R. F., & Miller, N. B. (1992). A Primer for Soft Modeling. University of Akron Press.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39–50.

Goodhue, D., & Thompson, R. (1995). Task-Technology Fit and Individual Performance. MIS Quarterly, 19(2), 213–236. https://doi.org/10.2307/249689

Gursoy, D., Maier, T. A., & Chi, C. G. (2008). Generational differences: An examination of work values and generational gaps in the hospitality

workforce. International Journal of Hospitality Management, 27(3), 448–458. https://doi.org/10.1016/j.ijhm.2007.11.002

Hair, J. F., Ringgle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice, 19(2), 139–151.

Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research, 414–433. https://doi.org/10.1007/s11747-011-0261-6

Hong, S. J., Lui, C. S., Hahn, J., Moon, J. Y., & Kim, T. G. (2013). How old are you really? Cognitive age in technology acceptance. In Decision Support Systems 56 (pp. 122–130).

Hulland, J. (1999). Use of Partial Least Squares (PLS) in strategic management research: a review of four recent studies. Strategic Management Journal, 20, 195–204.

Igbaria, M., & Tan, M. (1997). The consequences of information technology acceptance on subsequent individual performance. Information and Management, 32(3), 113–121. https://doi.org/10.1016/S0378-7206(97)00006-2

Kearns, J. L., & Venugopal. (2007). Understanding Generation Y in The Workplace “What Does it Take to Hire And Retain The Talent of The New Generation ?”

Widagdo, P. P., & Susanto, T. D. (2015). Pengaruh Kesesuaian Teknologi Pada Tugas (Task Technology Fit) Terhadap Kinerja Individu Dalam Menggunakan Teknologi Informasi (Studi Kasus: Universitas Mulawarman). Prosiding Seminar Nasional Manajemen Teknologi XXIII Program Studi MMT-ITS Surabaya.

Widagdo, P. P. (2016). Pengaruh Kesesuaian Teknologi Terhadap Tugas Terhadap Kinerja Individu Pada Generasi Baby Boomers (1945-1964) Dalam Menggunakan Teknologi Informasi (Studi Kasus: Universitas Mulawarman). Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer, 11(2), 54-60.

Widagdo, P. P., & Susanto, T. D. (2016, October). The effect of task technology fit toward individual performance on the Generation X (1956–1980) using information technology. In 2016 2nd International Conference on Science in Information Technology (ICSITech) (pp. 181-186). IEEE. https://doi.org/10.1109/ICSITech.2016.7852630

Widagdo, P. P. (2018). Pengaruh Task Technology Fit Pada Generasi X (1965-1980) Dalam Menggunakan Teknologi Cloud Storage. JURNAL REKAYASA TEKNOLOGI INFORMASI, 2(2), 163-171.

Wu, J., Ping, L., Ge, X., Wang, Y., & Fu, J. (2010). Cloud Storage as the Infrastructure of Cloud Computing. In Intelligent Computing and Cognitive Informatics, International Conference on(ICICCI) (pp. 380–383). Kuala Lumpur. https://doi.org/10.1109/ICICCI.2010.119

Yen, D. C., Wu, C. S., Cheng, F. F., & Huang, Y. W. (2010). Determinants of Users Intention to Adopt wireless tecnology : An Empirical Study by Integrating TTF with TAM. Computers in Human Behavior, 26, 906–915.

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Published

2019-02-28

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Vol. 14 No. 1 (2019): Informatika Mulawarman : Jurnal Ilmiah Ilmu Komputer

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