How to cite this paper
Shishakly, R., Sharma, A & Gheyathaldin, L. (2021). Investigating the effect of learning management system transition on administrative staff performance using task-technology fit approach.Management Science Letters , 11(3), 711-718.
Refrences
Aguinis, H., Joo, H., & Gottfredson, R. K. (2011). Why we hate performance management—And why we should love it. Business Horizons, 54(6), 503-507
Aljukhadar, M., Senecal, S., & Nantel, J. (2014). Is more always better? Investigating the task-technology fit theory in an online user context. Information & Management, 51(4), 391-397. https://doi.org/10.1016/j.im.2013.10.003
Benbasat, I., & Barki, H. (2007). Quo vadis TAM? Journal of the Association for Information Systems, 8(4), 211–218. https://doi.org/ 10.17705/1jais.00126
Bozaykut, T., Kuyucu, E., & Pinar, I. (2016). Investigating the antecedents of task-technology fit: a field study in Turkish private hospitals. International Journal of Business Information Systems, 22(4), 516-529. https://doi.org/10.1504/IJBIS.2016.077842
Buyukbaykal, C. I. (2015) Communication Technologies and Education in the Information age. Procedia-Social and Be-havioral Science, 174, 636–640. https://doi.org/10.1016/j.sbspro.2015.01.594
Coates, H., James, R., & Baldwin, G. (2005). A critical examination of the effects of learning management systems on university teaching and learning. Tertiary Education and Management, 11(1), 19–36. https://doi.org/10.1007/s11233-004-3567-9
D'Ambra, J., & Wilson, C.S. (2004). Explaining perceived performance of the World Wide Web: uncertainty and the task-technology fit model. Internet Res., 14(4), 294–310. https://doi.org/10.1108/10662240410555315
D'Ambra, J., Wilson, C. S., & Akter, S. (2013). Application of the task‐technology fit model to structure and evaluate the adoption of E‐books by A cademics. Journal of the American society for information science and technology, 64(1), 48-64. https://doi.org/10.1002/asi.22757
Davis, F.D., Bagozzi, R.P., & Warshaw, P.R. (1989). User acceptance of computer technology: a comparison of two theo-retical models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
Dishaw, M.T., & Strong, D.M. (1999). Extending the technology acceptance model with task-technology fit constructs. In-formation & Management, 36 (1), 9–21. https://doi.org/10.1016/S0378-7206(98)00101-3
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: al-gebra and statistics. Journal of Marketing Research, 18(3), 382-388. Retrieved from https://www.jstor.org/stable/3150980
Fuller, R. M., & Dennis, A. R. (2009). Does fit matter? The impact of task-technology fit and appropriation on team per-formance in repeated tasks. Information Systems Research, 20(1), 2-17. https://doi.org/10.1287/isre.1070.0167
Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS quarterly, 19(2) 213-236. Retrieved from https://www.jstor.org/stable/249689.
Hair, J. F., Ringle, C. M., Gudergan, S. P., Fischer, A., Nitzl, C., & Menictas, C. (2019). Partial least squares structural equation modeling-based discrete choice modeling: an illustration in modeling retailer choice. Business Re-search, 12(1), 115-142. https://doi.org/10.1007/s40685-018-0072-4
Harrati, N., Bouchrika, I., & Mahfouf, Z. (2017). Investigating the uptake of educational systems by academics using the technology to performance chain model. Library Hi Tech
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: updated guide-lines. Industrial management & data systems, 116(1), 2-20. https://doi.org/10.1108/IMDS-09-2015-0382
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international mar-keting. In New challenges to international marketing. Emerald Group Publishing Lim-ited.https://doi.org/10.1108/S1474-7979(2009)0000020014
Junglas, I., Abraham, C., & Watson, R. T. (2008). Task-technology fit for mobile locatable information systems. Decision support systems, 45(4), 1046-1057. https://doi.org/10.1016/j.dss.2008.02.007
Kline, T. J. (2005). Psychological testing: A practical approach to design and evaluation. Sage Publications
Lai, P. C. (2017). The literature review of technology adoption models and theories for the novelty technology. JISTEM-Journal of Information Systems and Technology Management, 14(1), 21-38. http://dx.doi.org/10.4301/s1807-17752017000100002
Lee, C. C., Cheng, H. K., & Cheng, H. H. (2007). An empirical study of mobile commerce in insurance industry: Task–technology fit and individual differences. Decision support systems, 43(1), 95-110. https://doi.org/10.1016/j.dss.2005.05.008
McGill, T., Klobas, J., & Renzi, S. (2011). LMS use and instructor performance: The role of task-technology fit. International Journal on E-Learning, 10(1), 43-62
Mott, J. (2010). Envisioning the post-LMS era: The open learning network. Educause Quarterly, 33(1), 1-9. Retrieved from https://er.educause.edu/articles/2010/3/envisioning-the-postlms-era-the-open-learning-network
Mumford, M. D. (2000). Managing creative people: Strategies and tactics for innovation. Human resource management review, 10(3), 313-351. https://doi.org/10.1016/S1053-4822(99)00043-1
Navimipour, N. J., & Zareie, B. (2015). A model for assessing the impact of e-learning systems on employees’ satisfac-tion. Computers in Human Behavior, 53, 475-485
Norzaidi, M. D., & Salwani, M. I. (2009). Evaluating technology resistance and technology satisfaction on students' per-formance. Campus-Wide Information Systems
Osang, F. B. (2015). Task technology fit and lecturers performance impacts: The technology utilization, satisfaction and performance (TUSPEM) dimension. International Journal of Computer Science Issues (IJCSI), 12(3), 232. Accessed form https://www.ijcsi.org/papers/IJCSI-12-3-232-239.pdf
Raven, A., Leeds, E., & Park, C. (2010). Digital video presentation and student performance: A task technology fit per-spective. International Journal of Information and Communication Technology Education (IJICTE), 6(1), 17-29
Ringle, C. M., Wende, S., & Becker, J.M. (2015). SmartPLS 3. Bönningstedt: SmartPLS. Retrieved from http://www.smartpls.com
Robles-Flores, J. A., & Roussinov, D. (2012). Examining question-answering technology from the task technology fit per-spective. Communications of the Association for Information Systems, 30(1), 26. https://doi.org/10.17705/1CAIS.03026
Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach. John Wiley & Sons
Staples, D. S., & Seddon, P. (2004). Testing the technology-to-performance chain model. Journal of Organizational and End User Computing (JOEUC), 16(4), 17-36. https://doi.org/10.4018/joeuc.2004100102
Tongkaw, A. (2013). Multi perspective integrations Information and Communication Technologies (ICTs) in higher edu-cation in developing countries: case study Thailand. Procedia-Social and Behavioral Sciences, 93, 1467-1472
Tripathi, S., & Jigeesh, N. (2015). Task-technology fit (TTF) model to evaluate adoption of cloud computing: a multi-case study. International Journal of Applied Engineering Research, 10(4), 9185-9200. Accessed from https://www.researchgate.net/publication/278463397_Task-Technology_Fit_TTF_Model_To_Evaluate_Adoption_of_Cloud_Computing_A_Multi-Case_Study
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204. Retrieved from https://www.jstor.org/stable/2634758
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 Infor-mation Technology (ICSITech) (pp. 181-186). IEEE. Available at https://www.researchgate.net/publication/313314308_The_Effect_of_Task_Technology_Fit_Toward_Individual_Performance_on_the_Generation_X_1956-1980_using_Information_Technology [accessed Apr 11, 2019]
Yi, Y. J., You, S., & Bae, B. J. (2016). The influence of smartphones on academic performance. Library Hi Tech
Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in human behavior, 26(4), 760-767. https://doi.org/10.1016/j.chb.2010.01.013
Zigurs, I., & Khazanchi, D. (2008). From profiles to patterns: A new view of task-technology fit. Information systems management, 25(1), 8-13. https://doi.org/10.1080/10580530701777107
Aljukhadar, M., Senecal, S., & Nantel, J. (2014). Is more always better? Investigating the task-technology fit theory in an online user context. Information & Management, 51(4), 391-397. https://doi.org/10.1016/j.im.2013.10.003
Benbasat, I., & Barki, H. (2007). Quo vadis TAM? Journal of the Association for Information Systems, 8(4), 211–218. https://doi.org/ 10.17705/1jais.00126
Bozaykut, T., Kuyucu, E., & Pinar, I. (2016). Investigating the antecedents of task-technology fit: a field study in Turkish private hospitals. International Journal of Business Information Systems, 22(4), 516-529. https://doi.org/10.1504/IJBIS.2016.077842
Buyukbaykal, C. I. (2015) Communication Technologies and Education in the Information age. Procedia-Social and Be-havioral Science, 174, 636–640. https://doi.org/10.1016/j.sbspro.2015.01.594
Coates, H., James, R., & Baldwin, G. (2005). A critical examination of the effects of learning management systems on university teaching and learning. Tertiary Education and Management, 11(1), 19–36. https://doi.org/10.1007/s11233-004-3567-9
D'Ambra, J., & Wilson, C.S. (2004). Explaining perceived performance of the World Wide Web: uncertainty and the task-technology fit model. Internet Res., 14(4), 294–310. https://doi.org/10.1108/10662240410555315
D'Ambra, J., Wilson, C. S., & Akter, S. (2013). Application of the task‐technology fit model to structure and evaluate the adoption of E‐books by A cademics. Journal of the American society for information science and technology, 64(1), 48-64. https://doi.org/10.1002/asi.22757
Davis, F.D., Bagozzi, R.P., & Warshaw, P.R. (1989). User acceptance of computer technology: a comparison of two theo-retical models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
Dishaw, M.T., & Strong, D.M. (1999). Extending the technology acceptance model with task-technology fit constructs. In-formation & Management, 36 (1), 9–21. https://doi.org/10.1016/S0378-7206(98)00101-3
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: al-gebra and statistics. Journal of Marketing Research, 18(3), 382-388. Retrieved from https://www.jstor.org/stable/3150980
Fuller, R. M., & Dennis, A. R. (2009). Does fit matter? The impact of task-technology fit and appropriation on team per-formance in repeated tasks. Information Systems Research, 20(1), 2-17. https://doi.org/10.1287/isre.1070.0167
Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS quarterly, 19(2) 213-236. Retrieved from https://www.jstor.org/stable/249689.
Hair, J. F., Ringle, C. M., Gudergan, S. P., Fischer, A., Nitzl, C., & Menictas, C. (2019). Partial least squares structural equation modeling-based discrete choice modeling: an illustration in modeling retailer choice. Business Re-search, 12(1), 115-142. https://doi.org/10.1007/s40685-018-0072-4
Harrati, N., Bouchrika, I., & Mahfouf, Z. (2017). Investigating the uptake of educational systems by academics using the technology to performance chain model. Library Hi Tech
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: updated guide-lines. Industrial management & data systems, 116(1), 2-20. https://doi.org/10.1108/IMDS-09-2015-0382
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international mar-keting. In New challenges to international marketing. Emerald Group Publishing Lim-ited.https://doi.org/10.1108/S1474-7979(2009)0000020014
Junglas, I., Abraham, C., & Watson, R. T. (2008). Task-technology fit for mobile locatable information systems. Decision support systems, 45(4), 1046-1057. https://doi.org/10.1016/j.dss.2008.02.007
Kline, T. J. (2005). Psychological testing: A practical approach to design and evaluation. Sage Publications
Lai, P. C. (2017). The literature review of technology adoption models and theories for the novelty technology. JISTEM-Journal of Information Systems and Technology Management, 14(1), 21-38. http://dx.doi.org/10.4301/s1807-17752017000100002
Lee, C. C., Cheng, H. K., & Cheng, H. H. (2007). An empirical study of mobile commerce in insurance industry: Task–technology fit and individual differences. Decision support systems, 43(1), 95-110. https://doi.org/10.1016/j.dss.2005.05.008
McGill, T., Klobas, J., & Renzi, S. (2011). LMS use and instructor performance: The role of task-technology fit. International Journal on E-Learning, 10(1), 43-62
Mott, J. (2010). Envisioning the post-LMS era: The open learning network. Educause Quarterly, 33(1), 1-9. Retrieved from https://er.educause.edu/articles/2010/3/envisioning-the-postlms-era-the-open-learning-network
Mumford, M. D. (2000). Managing creative people: Strategies and tactics for innovation. Human resource management review, 10(3), 313-351. https://doi.org/10.1016/S1053-4822(99)00043-1
Navimipour, N. J., & Zareie, B. (2015). A model for assessing the impact of e-learning systems on employees’ satisfac-tion. Computers in Human Behavior, 53, 475-485
Norzaidi, M. D., & Salwani, M. I. (2009). Evaluating technology resistance and technology satisfaction on students' per-formance. Campus-Wide Information Systems
Osang, F. B. (2015). Task technology fit and lecturers performance impacts: The technology utilization, satisfaction and performance (TUSPEM) dimension. International Journal of Computer Science Issues (IJCSI), 12(3), 232. Accessed form https://www.ijcsi.org/papers/IJCSI-12-3-232-239.pdf
Raven, A., Leeds, E., & Park, C. (2010). Digital video presentation and student performance: A task technology fit per-spective. International Journal of Information and Communication Technology Education (IJICTE), 6(1), 17-29
Ringle, C. M., Wende, S., & Becker, J.M. (2015). SmartPLS 3. Bönningstedt: SmartPLS. Retrieved from http://www.smartpls.com
Robles-Flores, J. A., & Roussinov, D. (2012). Examining question-answering technology from the task technology fit per-spective. Communications of the Association for Information Systems, 30(1), 26. https://doi.org/10.17705/1CAIS.03026
Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach. John Wiley & Sons
Staples, D. S., & Seddon, P. (2004). Testing the technology-to-performance chain model. Journal of Organizational and End User Computing (JOEUC), 16(4), 17-36. https://doi.org/10.4018/joeuc.2004100102
Tongkaw, A. (2013). Multi perspective integrations Information and Communication Technologies (ICTs) in higher edu-cation in developing countries: case study Thailand. Procedia-Social and Behavioral Sciences, 93, 1467-1472
Tripathi, S., & Jigeesh, N. (2015). Task-technology fit (TTF) model to evaluate adoption of cloud computing: a multi-case study. International Journal of Applied Engineering Research, 10(4), 9185-9200. Accessed from https://www.researchgate.net/publication/278463397_Task-Technology_Fit_TTF_Model_To_Evaluate_Adoption_of_Cloud_Computing_A_Multi-Case_Study
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204. Retrieved from https://www.jstor.org/stable/2634758
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 Infor-mation Technology (ICSITech) (pp. 181-186). IEEE. Available at https://www.researchgate.net/publication/313314308_The_Effect_of_Task_Technology_Fit_Toward_Individual_Performance_on_the_Generation_X_1956-1980_using_Information_Technology [accessed Apr 11, 2019]
Yi, Y. J., You, S., & Bae, B. J. (2016). The influence of smartphones on academic performance. Library Hi Tech
Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in human behavior, 26(4), 760-767. https://doi.org/10.1016/j.chb.2010.01.013
Zigurs, I., & Khazanchi, D. (2008). From profiles to patterns: A new view of task-technology fit. Information systems management, 25(1), 8-13. https://doi.org/10.1080/10580530701777107