Case management system (CMS): an evaluation among users

Investments made in a new information system can help employees to improve their daily task and increase productivity. It can also lead to disastrous result if not managed well. Inland Revenue Board of Malaysia (IRBM) has invested in developing Case Management System (CMS) to help the auditors in ma...

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Main Author: Nadianauli, Yaakub
Format: Thesis
Language:eng
eng
Published: 2018
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Online Access:https://etd.uum.edu.my/8171/1/s819553_01.pdf
https://etd.uum.edu.my/8171/2/s819553_02.pdf
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id my-uum-etd.8171
record_format uketd_dc
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
advisor Hassan, Haslinda
topic T58.6-58.62 Management information systems
spellingShingle T58.6-58.62 Management information systems
Nadianauli, Yaakub
Case management system (CMS): an evaluation among users
description Investments made in a new information system can help employees to improve their daily task and increase productivity. It can also lead to disastrous result if not managed well. Inland Revenue Board of Malaysia (IRBM) has invested in developing Case Management System (CMS) to help the auditors in managing their audit case files and reports online. CMS is a mandatory system that the auditors needed to use even though they have some reservations about it. This study, therefore, aimed to assess the success factors of CMS in IRBM from the auditors or the individual users‟ point of view. The DeLone and McLean Information System Success Model (D&M ISSM) was used to determine the relationship between its six constructs, namely, system quality, service quality, information quality, use, user satisfaction, and net benefit. Three hundred and thirty-eight (338) questionnaires were distributed online, and 105 responded. The respondents were officers from the desk audit, field audit, profiling, Monthly Tax Deduction (PCB) audit and investigation branches. The results indicated that only information quality influenced system use. System quality and service quality were, however, not significant. In addition to that, service quality and use influenced user satisfaction. Use and user satisfaction were also found to positively influence net benefit of CMS. The findings show that the auditors of IRBM care more in the quality of information provided by CMS and the service quality received from the CMS Help-Desk. Hence, IRBM should pay more attention to enhance features, such as information quality and service quality, when upgrading or developing a system that is mandatory for the users or has similar features as CMS. Extra attention to both features will help the system to attain success as described by the net benefits of CMS.
format Thesis
qualification_name other
qualification_level Master's degree
author Nadianauli, Yaakub
author_facet Nadianauli, Yaakub
author_sort Nadianauli, Yaakub
title Case management system (CMS): an evaluation among users
title_short Case management system (CMS): an evaluation among users
title_full Case management system (CMS): an evaluation among users
title_fullStr Case management system (CMS): an evaluation among users
title_full_unstemmed Case management system (CMS): an evaluation among users
title_sort case management system (cms): an evaluation among users
granting_institution Universiti Utara Malaysia
granting_department Othman Yeop Abdullah Graduate School of Business
publishDate 2018
url https://etd.uum.edu.my/8171/1/s819553_01.pdf
https://etd.uum.edu.my/8171/2/s819553_02.pdf
_version_ 1747828342329966592
spelling my-uum-etd.81712021-11-22T01:50:14Z Case management system (CMS): an evaluation among users 2018 Nadianauli, Yaakub Hassan, Haslinda Othman Yeop Abdullah Graduate School of Business Othman Yeop Abdullah Graduate School of Business T58.6-58.62 Management information systems Investments made in a new information system can help employees to improve their daily task and increase productivity. It can also lead to disastrous result if not managed well. Inland Revenue Board of Malaysia (IRBM) has invested in developing Case Management System (CMS) to help the auditors in managing their audit case files and reports online. CMS is a mandatory system that the auditors needed to use even though they have some reservations about it. This study, therefore, aimed to assess the success factors of CMS in IRBM from the auditors or the individual users‟ point of view. The DeLone and McLean Information System Success Model (D&M ISSM) was used to determine the relationship between its six constructs, namely, system quality, service quality, information quality, use, user satisfaction, and net benefit. Three hundred and thirty-eight (338) questionnaires were distributed online, and 105 responded. The respondents were officers from the desk audit, field audit, profiling, Monthly Tax Deduction (PCB) audit and investigation branches. The results indicated that only information quality influenced system use. System quality and service quality were, however, not significant. In addition to that, service quality and use influenced user satisfaction. Use and user satisfaction were also found to positively influence net benefit of CMS. The findings show that the auditors of IRBM care more in the quality of information provided by CMS and the service quality received from the CMS Help-Desk. Hence, IRBM should pay more attention to enhance features, such as information quality and service quality, when upgrading or developing a system that is mandatory for the users or has similar features as CMS. Extra attention to both features will help the system to attain success as described by the net benefits of CMS. 2018 Thesis https://etd.uum.edu.my/8171/ https://etd.uum.edu.my/8171/1/s819553_01.pdf text eng 2021-05-31 public https://etd.uum.edu.my/8171/2/s819553_02.pdf text eng public other masters Universiti Utara Malaysia Ajzen, I. (1991). The theory of planned behavior. Organisational Behavior and Human Decision Processes, 50(2), 179-211. AlMutairi, H., & Subramaniam, G. (2005). An impirical application of the DeLone and McLean model in the Kuwaiti private sector. The Journal of Computer Information Systems, 113-122. AlShibly, H. (2011). Human resources information systems success assessment: An integrative model. Australian Journal of Basic and Applied Sciences, 157-169. Alshibly, H. H. (2014). Evaluating E-HRM success success: A validation of the information systems success model. International Journal of Human Resource Studies, 107-124. Ang, M. C., Ramayah, T., & Amin, H. (2015). Efficacy of the theory of planned behavior in the context of hiring Malaysians with disabilities. The Journal of Developing Areas, 49(3), 13-25. Bailey, J., & Pearson, S. (1983). Development of a tool for measuring and analyzing computer user satisfaction. Management Science, 29(5), 530-545. Baraka, H. A., Baraka, H. A., & El-Gamily, I. H. (2013). Assessing call centers‟ success: A validation of the DeLone and Mclean model for information system. Egyptian Informatics Journal, 99-108. Chin, W. (1998). The partial least squares approach to structural equation modeling. In G. Marcoulides, Modern methods for business research, 295(2) (pp. 295-336). Mahwah, New Jersey: Lawrence Erlbaum Associates. Chin, W., Marcolin, B., & Newsted, P. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and electronic mail emotion/adoption study. Information Systems Research, 14(2), 189-217. Choi, W., Rho, M., Park, J., Kim, K.-J., & Kwon, Y. D. (2013). Information system success model for customer relationship management system in health promotion centers. Healthcare Information Research, 110-120. Chong, H., Cates, D., & Rauniar, R. (2010). Validity of Delone and Mclean‟s e-commerce model in B2C student loan industry. Journal of International Technology and Information Management, 19(1), 75-95. Cunningham, W., Preacher, K., & Banaji, M. (2001). Implicit attitude measures: Consistency, stability, and convergent validity. Psychological Science, 12(2), 163-170. Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. DeLone, H. W., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 60-95. DeLone, W., & McLean, E. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 9-30. Doll, W., & Torkzadeh, G. (1991). The measurement of end-user computing satisfaction: Theoretical and methodological issues. MIS Quarterly, 15(1), 5-10. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intentions and behavior: An introduction to theory and research. Boston: Addison-Wesley. Fornell, C., & Larcker, D. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. Fu, J., Farn, C., & Chao, W. (2006). Acceptance of electronic tax filing: A study of taxpayer intentions. Information & Management, 43(1), 109-126. Gefen, D., Straub, D., & Boudreau, M. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the association for information systems, 4(1), 7. Hair, J., Black, W., Babin, B., & Anderson, R. (2010). Multivariate data analysis (7th ed.). Englewood Cliffs: Prentice Hall. Hossain, M. A. (2016). Assessing m-Health success in Bangladesh: An empirical investigation using IS success models. Journal of Enterprise Information Management, 29(5), 774-796. Hu, X. (2015). Effectiveness of information technology in reducing corruption in China: A validation of the DeLone and McLean information system success model. The Electronic Library, 33(1), 52-64. Igbaria, M., Guimaraes, T., & Davis, G. (1995). Testing the determinants of microcomputer usage via a structural equation model. Journal of Management Information Systems, 11(4), 87-114. Iivari, J. (2005). An empirical test of the DeLone-McLean model of information system success. Database forAdvances in Information Systems, 36(2), 8-27. IRBM. (2012). Evolusi Sistem Teknologi Maklumat dan Komunikasi LHDNM. Cyberjaya: Jabatan Teknologi Maklumat, LHDNM. Ismail, S. B., Jogeran, J., & Noor, A. M. (2012). Determinant factors of paying zakat on employment income by government servants in Malaysia. Research Management Institute. Jiang, J., Klein, G., & Carr, C. (2002). Measuring information systems service quality: SERVQUAL from the other side. MIS Quarterly, 26(2), 145–166. Khayun, V., Ractham, P., & Firpo, D. (2012). Assessing e-excise success with DeLone and McLean's model. The Journal of Computer Information System, 31-40. Kim, C., Lee, I.-S., Wang, T., & Mirusmonov, M. (2015). Evaluating effects of mobile CRM on employees‟ performance. Industrial Management & Data Systems, 115(4), 740-764. Krejcie, R., & Morgan, D. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30, 607-610. Lee, S., & Lee, S.-H. (2012). Success factors of open-source enterprise information systems development. Industrial Management & Data Systems, 112(7), 1065-1084. Lupo, G. (2016). Evaluating e-justice: The design of an assessment framework for e-justice systems. In eAccess to Justice (pp. 53-94). University of Ottawa Press. Lwoga, E. T. (2013). Measuring the success of library 2.0 technologies in the African context: The suitability of the DeLone and McLean's model. Campus-Wide Information Systems, 30(4), 288-307. Masrek, M. N., Jamaludin, A., & Awang, S. (2010). Evaluating academic library portal effectiveness: A Malaysian case study. Library Review, 59(3), 198-212. McGill, T., & Hobbs, V. (2003). User-development applications and information systems success: A test of DeLone and McLean's model. Information Resources Management Journal, 16(1), 24-45. Michel, S., & Cocula, F. (2017). Impact of the three IS qualities on user satisfaction in an information-intensive sector. The Electronic Journal Information Systems Evaluation, 20(2), 85-101. Mohamed, N., Hussin, H., & Hussein, R. (2009). Measuring users‟ satisfaction with Malaysia‟s electronic government systems. Electronic Journal of e-Government, 7(3), 283-294. Mudzana, T., & Maharaj, M. (2015). Measuring the success of business-intelligence systems in South Africa: An empirical investigation applying the DeLone and McLean Model. South African Journal of Information Management, 17(1), 1-7. Ngai, E., & Wat, F. (2006). Human resource information systems: A review and empirical analysis . Personnel Review, 35(3), 297-314. Ojo, A. (2017). Validation of the DeLone and McLean information systems success model. Healthcare Information Research, 60-66. Petrick, J. (2002). Development of a multi-dimensional scale for measuring the perceived value of a service. Journal of Leisure Research, 34(2), 119-134. Petter, S., & McLean, E. R. (2009). A meta-analytic assessment of the DeLone and McLean IS success model: An examination of IS success at the individual level. Information & Management, 159-166. Petter, S., DeLone, W., & McLean, E. (2008). Measuring information systems success: models, dimensions, measures and interrelationships. European Journal of Information Systems, 236-263. Pitt, L., Watson, R., & Kavan, C. (1995). Service quality: A measure of information systems effectiveness. MIS Quarterly, 19(2), 173-187. Ramdan, S., Azizan, Y., & Saadan, K. (2014). E-government systems success evaluating under principle Islam: A validation of the Delone and Mclean model of Islamic information systems success. Academic Research International, 5(2), 72-85. Rizal, H., Yussof, S., Amin, H., & Ku, C.-J. (2016). EWOM towards homestays lodging: extending the information system success model. Journal of Hospitality and Tourism Technology. Ronald, F. D., Khaled , A. A., Lane, P. L., & Wen, J. H. (2010). IS success model in E-learning context based on students' perceptions. Journal of Information Systems Education, 21(2), 173-184. Sanchez-Franco, M., & Roldan, J. (2005). Web acceptance and usage model: A comparison between goal-directed and experiential web users. Internet Research, 15(1), 21-48. Sanjaya, I. (2012). Pengukuran kualitas layanan website kementerian KOMINFO dengan menggunakan Metode Webqual 4.0. Jurnal Penelitian IPTEK-KOM, 14(1). Seddon, P. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research 8(3), 240–253. Seddon, P. B., & Kiew, M.-Y. (1996). A partial test and development of DeLone and McLean's model of IS success. AJIS, 4(1), 90-109. Seyal, A. H., & Rahman, N. (2015). A preliminary investigation of measuring user satisfaction & success on Financial & Accounting Information System: Bruneian perspective. International Journal of Business and Management Review, 3(2), 1-22. Shackman, J. (2013). The use of partial least squares path modeling and generalised structured component analysis in international business research: A literature review. International Journal of Management, 30(3), 78-85. Sun, S.-Y., Ju, T., & Chen, P.-Y. (2004). Measuring the effectiveness of e-official-document systems: A survey of the Pingdong county deployment in Taiwan. Pacific Asia Conference on Information Systems (p. 32). Association for Information Systems Electronic Library. Tansley, C., & Watson, T. (2000). Strategic exchange in the development of Human Resource Information Systems (HRIS). New Technology, Work and Employment, 15(2), 108-122. Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information System Research, 342-365. Venkatesh, V., & Davis, F. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 186-204. Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. Venkatesh, V., Speier, C., & Morris, M. (2002). User acceptance enablers in individual decision making about technology: Toward an integrated model. Decision Sciences, 33(2), 297-316. Wang, Y.-S., & Liao, Y.-W. (2008). Assessing eGovernment systems success:A validation of the DeLone and McLean model of information systems success. Government Information Quarterly, 25, 717–733. Wang, Y.-S., Li, H.-T., Li, C.-R., & Wang, C. (2014). A model for assessing blog-based learning systems success. Online Information Review, 38(7), 969-990. Zhu, K., Dong, S., Xu, S., & Kraemer, K. (2006). Innovation diffusion in global contexts: determinants of post-adoption digital transformation of European companies. European Journal of Information Systems, 15, 601-616. Zikmund, W. G. (2013). Business research methods (9th ed.). South-Western, Cengage Learning.