Pengaruh Kesesuaian Teknologi Terhadap Tugas Terhadap Kinerja Individu Pada Generasi Baby Boomers (1945-1964) Dalam Menggunakan Teknologi Informasi (Studi Kasus : Universitas Mulawarman)

Putut Pamilih Widagdo

Abstract


Perkembangan teknologi yang berkembang pesat menyebabkan Generasi Baby Boomers (1945 – 1964) memiliki persepektif, pemikiran, ide yang berbeda dalam menggunakan teknologi informasi untuk menyelesaikan pekerjaannya. Penelitian ini bertujuan membuktikan hubungan faktor kesesuaian teknologi terhadap tugas (task technology fit) yang mempengaruhi penggunaan (utilization) dan dampaknya terhadap kinerja individu (individual performance) pada Generasi Baby Boomers dalam menggunakan teknologi informasi di Organisasi. Penelitian ini menggunakan metode PLS-SEM dengan melibatkan 54 responden dari Generasi Baby Boomers di Universitas Mulawarman dan data diolah menggunakan SmartPLS versi 3.2. Hasil penelitian menunjukkan secara empiris model mampu menjelaskan 60,7% dari varians kinerja individu pada generasi Baby Boomers (1945-1964) dalam menggunakan teknologi informasi di Universitas Mulawarman. Hasil penelitian membuktikan faktor kesesuaian teknologi terhadap tugas (task technology fit) merupakan faktor yang mempengaruhi generasi baby boomers dalam penggunaan layanan teknologi informasi di Universitas Mulawarman. faktor kesesuaian teknologi terhadap tugas (task technology fit) merupakan faktor yang memiliki hubungan positif berpengaruh signifikan terhadap peningkatan kinerja individu (individual performance) pada generasi baby boomers dalam menggunakan layanan teknologi informasi di Universitas Mulawarman.  Berdasarkan hasil penelitian mengungkapkan bahwa semakin baik kesesuaian teknologi informasi terhadap tugas-tugas pengguna pada generasi baby boomers di Universitas Mulawarman, maka mempengaruhi dalam meningkatkan penggunaan teknologi informasi. Namun untuk penggunaan tidak berpengaruh terhadap kinerja kinerja individu pada generasi baby boomers. Hal ini karena generasi baby boomers tidak selalu berhubungan langsung dengan penggunaan teknologi informasi dan lebih bersifat manual seperti pengambilan keputusan, belajar pembelajaran, surat-menyurat, tanda tangan, mengajar, laboratorium, bidang-bidang non-TI.


Keywords


Kesesuaian Teknologi Terhadap Tugas; Generasi; baby boomers; Kinerja Individu; Teknologi Informasi;

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References


D. L. Goodhue and R. L. Thompshon, "Task-Technology Fit and Individual Performance," MIS Quarterly, Vol.19, No.2, pp. 213-236, 1995.

J. D. Wells, S. Sarker, A. Urbaczewski and S. Sarker, "Studying Customer Evaluations of Electronic Commerce Applications: A Review and Adaptation of the Task-Technology Fit Perspective," in Proceedings of the 36th Hawaii International Conference on SystemSciences (HICSS’03), Washington, 2002.

S. J. Hong, C. . S. M. Lui, J. Hahn, J. Y. Moon and T. G. Kim, "How old are you really? Cognitive age in technology acceptance," Decision Support Systems 56, p. 122–130, 2013.

V. Venkatesh, M. G. Morris, G. B. Davis and F. D. Davis, "User Acceptance of Information Technology : Toward a Unified View," MIS Quarterly Vol. 27 No. 3, pp. 425-478, 2003.

M. G. Morris, V. Venkatesh and P. L. Ackerman, "Gender and Age Differences in Employee Decisions About New Technology: An Extension to the Theory of Planned Behavior," IEEE Transactions on Engineering Management Vol, 52 No.1, pp. 69-84, 2005.

W. H. DeLone and E. R. McLean, "Information systems success: The quest for the dependent variable," Information Systems Research, 3, 1, pp. 60-95, 1992.

B. R. Kupperschmidt, "Multigeneration employees: strategies for effective management," The Health Care Manager19, p. 65–76, 2000.

K. W. Smola and C. D. Sutton, "Generational differences: revisiting generational work values for the new millennium," Journal of Organizational Behavior. Vol 23, p. 363–382, 2002.

S. M. Crampton and J. W. Hodge, "Generation Y: Unchartered Territory," Journal of Business & Economics Research, Volume 7, Number 4., pp. 1-6, 2009.

M. Legault, "Caution: Mixed generations at work," Canadian HR Reporter, 16(21),, pp. 23-24, 2003.

S. L. Hatfield, "Understanding the four generations to enhance workplace management.," AFP Exchange, 22(4),, pp. 72-74, 2002.

D. Gursoy, T. A. Maier and C. G. Chi, "Generational differences: An examination of work values and generational gaps in the hospitality workforce," International Journal of Hospitality Management 27, p. 448–458, 2008.

J. Park and D. Gursoy, "Generation effects on work engagement among U.S. hotel employees," International Journal of Hospitality Management 31, pp. 1195-1202, 2012.

H. Wold, "Partial Least Square. In S Kotz & N. L. Johnshon (Eds)," Encyclopedia of Statistical Sciences Vol. 8, pp. 587-599, 1985.

R. F. Falk and N. B. Miller, A Primer for Soft Modeling, Akron. OH: University of Akron Press, 1992.

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

J. Hulland, "Use of partial least squares (PLS) in strategic management research: a review of four recent studies," Strategic Management Journal, 20, p. 195–204, 1999.

W. W. Chin, "The partial least squares approach to structural equation modelling. In G. A. Marcoulides (Ed.), Modern Methods for Business Research," in Modern Methods for Business Research, NJ, 1998.

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

J. Nunnaly and Bernstein, Psychometric Theory, New York: McGraw-Hill, 1994.

D. C. Yen, C.-S. Wu, F.-F. Cheng and Y.-W. Huang, "Determinants of users’ intention to adopt wireless technology: An empirical study by integrating TTF with TAM," Computers in Human Behavior 26, p. 906–915, 2010.

T. Zhou, Y. Lu and B. Wang, "Integrating TTF and UTAUT to explain mobile banking user adoption," Computers in Human Behavior 26 , p. 760–767, 2010.

T. Oliveira, M. Faria, M. A. Thomas and A. Popovic, "Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM," International Journal of Information Management 34, p. 689–703, 2014.

H.-P. Lu and Y.-W. Yang, "Toward an understanding of the behavioral intention to use a social networking site: An extension of task-technology fit to social-technology fit," Computers in Human Behavior 34, p. 323–332, 2014.

T. Schrier, M. Erdem and P. Brewer, "Merging task-technology fit and technology acceptance models to assess guest empowerment technology usage in hotels," Journal of Hospitality and Tourism Technology, Vol. 1 No. 3, pp. 201-207, 2010.

T.-C. Lin and C.-C. Huang, "Understanding knowledge management system usage antecedents:An integration of social cognitive theory and task technology fit," Information & Management 45, pp. 410-417, 2008.

J. D’Ambra and C. S. Wilson, "Explaining perceived performance of the World Wide Web: uncertainty and the task-technology fit model," Internet Research Volume 14 Number 04, pp. 294-310, 2004.

Widagdo, P. P., & Susanto, T. D. PENGARUH KESESUAIAN TEKNOLOGI PADA TUGAS (TASK TECHNOLOGY FIT) TERHADAP KINERJA INDIVIDU DALAM MENGGUNAKAN TEKNOLOGI INFORMASI (STUDI KASUS: UNIVERSITAS MULAWARMAN).

J. D'Ambra, C. S. Wilson and S. Akter, "Application of the task-technology fit model to structure and evaluate the adoption of E-books by academics," Journal of the American Society for Information Science and T echnology , 64 (1), pp. 48-64, 2013.

E. Yadegaridehkordi, N. A. Iahad and N. Ahmad, "Task-Technology Fit and User Adoption of Cloud based Collaborative Learning Technologies," IEEE, Malaysia, 2014.

J. E. Kubeck, N. D. Delp, T. K. Haslett and M. A. McDaniel, "Does Job-Related Training Performance Decline With Age ?," Psychology and Aging Vol.11 No.1, pp. 92-107, 1996.

C.-C. Lee, H. K. Cheng and H.-H. Cheng, "An empirical study of mobile commerce in insurance industry : Task–technology fit and individual differences," Decision Support Systems 43, pp. 95-110, 2007.

I. Junglas, C. Abraham and R. T. Watson, "Task-Technology Fit For Mobile Locatable Information Systems," Decision Support Systems 45, pp. 1046-1057, 2008.

T. J. McGill and J. E. Klobas, "A task–technology fit view of learning management system impact," Computers & Education 52, p. 496–508, 2009.

M. G. Morris and V. Venkatesh, "Age Differences In Techonolgy Adoption Decisions : Implications For A Changing Work Force," Personnel Psychology 53, pp. 375-403, 2000.

J. O. Maldifassi and E. C. Canessa, "Information technology in Chile: How perceptions and use are related to age, gender, and social class," Technology in Society 31, p. 273–286, 2009.

L. P. Sumirat, P. P. Widagdo, Y. Kristyawan, "Analisa Pengukuran Kinerja IT Berdasarkan Usia Pegawai Menggunakan COBIT dan IT Balance Scorecard (Studi Kasus Universitas Dr Soetomo Surabaya)" Jurnal Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Vol 1, Issue 1, 2015.




DOI: http://dx.doi.org/10.30872/jim.v11i2.978

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