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Tytuł artykułu

Managing information systems by integrating information systems success model and the unified theory of acceptance and usage of technology

Treść / Zawartość
Identyfikatory
Warianty tytułu
PL
Zarządzanie systemami informacyjnymi przez integrację systemów informacyjnych model sukcesu i zjednoczona teoria przyjmowania i stosowania technologii
Języki publikacji
EN
Abstrakty
EN
The Internet of things (IoT) has forced the mode of universities evaluating the performance of people and the way of disseminating the knowledge. Consequently, universities capitalize a substantial amount in sophisticated Higher Education Management Information Systems (HEMISs) technology to stay updated with the current trend. However, the implementation of the technology does not automatically inspire the modifications in working culture of the public universities in Indonesia as values and cultures remain outmoded and collusive. This indicates that most public universities are internally slow to adopt the technology making the application to be more beneficial for academia are still out of reach. This study aims at scrutinizing the organizational requirement that boosts technology implementation mainly in a higher education organization located in developing countries. The findings from the analysis of a structural equation model tested on end-users consisting of 150 (one hundred fifty) public university officers throughout Indonesia evidenced that implementation of the technology in terms of information, system, and service quality make significant, positive impacts on performance expectancy leading to the intention to adopt the technology. The research underpins the significance of system flexibility to organizations as one source for sustainable competitive advantage.
PL
nternet rzeczy (IoT) wymusił tryb oceniający wyniki ludzi i sposób rozpowszechniania wiedzy. W rezultacie uniwersytety wykorzystują znaczne kwoty w zaawansowanej technologii systemów informacji zarządzania szkolnictwem wyższym (HEMIS), aby być na bieżąco z aktualnym trendem. Jednak wdrożenie tej technologii nie inspiruje automatycznie zmian w kulturze pracy publicznych uniwersytetów w Indonezji, ponieważ wartości i kultura pozostają przestarzałe. Wskazuje to, że większość uniwersytetów publicznych jest wewnętrznie powolna w akceptacji technologii, co sprawia, że aplikacja jest bardziej korzystna dla środowisk akademickich. Badanie ma na celu określenie wymogu organizacyjnego, który przyspieszy wdrażanie technologii głównie w organizacji szkolnictwa wyższego w krajach rozwijających się. Wyniki analizy modelu równania strukturalnego przetestowanego na użytkownikach końcowych składających się ze 150 (stu pięćdziesięciu) urzędników uniwersytetów publicznych w całej Indonezji wykazały, że wdrożenie technologii pod względem informacji, systemu i jakości usług ma znaczący, pozytywny wpływ na oczekiwaną wydajność. Badania potwierdzają znaczenie elastyczności systemu dla organizacji jako jednego źródła trwałej przewagi konkurencyjnej.
Rocznik
Strony
192--201
Opis fizyczny
Bibliogr. 34 poz., rys., tab.
Twórcy
  • Islamic University of Kalimantan Banjarmasin, Indonesia
autor
  • Islamic University of Kalimantan Banjarmasin, Indonesia
autor
  • Muhammadiyah University of Gresik, Indonesia
  • Lambung Mangkurat University, Indonesia
Bibliografia
  • 1. A’ang Subiyakto, A., Ahlan, R., Kartiwi, M., Hakiem, N., Huda, M.Q. & Susanto, A. (2018). The Information System Project Profiles among Universities in Indonesia, Indonesian Journal of Electrical Engineering and Computer Science, 12(2).
  • 2. Abbas, E.W., Hadi, S., & Rajiani, I. (2018). The prospective innovator in public university by scrutinizing particular personality traits. Polish Journal of Management Studies, 18.
  • 3. Alkhasawneh, S. and Alanazy, S. (2015). Adopt ICT among Academic Staff in Aljouf University: Using UTAUT Model. Mediterranean Journal of Social Sciences, 6(1).
  • 4. Al-Samarraie, H., Teng, B.K., Alzahrani, A.I. & Alalwan, N. (2018). E-learning continuance satisfaction in higher education: a unified perspective from instructors and students. Studies in Higher Education, 43(11).
  • 5. Darmalaksana, W., Ramdhani, M.A., Cahyana, R., & Amin, A.S. (2018) Strategic design of information system implementation at University. International Journal of Engineering & Technology (UEA), 7.
  • 6. Delone, W.H., McLean, E.R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of Management Information Systems, 19(4).
  • 7. DeLone, W.H., McLean, E.R. (2016). Information systems success measurement. Foundations and Trends in Information Systems, 2(1).
  • 8. Dewantoro, B., Hermadi, I. & Ratono, J. (2019). Evaluation of the 1 office-integrated system using an adaptation to the Delone and Mclean success model. Indonesian Journal of Business and Entrepreneurship, 5(3).
  • 9. El-Haddadeh, R., Weerakkody, V., Osmani, M., Thakker, D. & Kapoor, K.K. (2019). Examining citizens' perceived value of internet of things technologies in facilitating public sector services engagement. Government Information Quarterly, 36.
  • 10. Garone, A., Pynoo, B., Tondeur, J., Cocquyt, C., Vanslambrouck, S., Bruggeman, B. & Struyven, K. (2019). Clustering university teaching staff through UTAUT: Implications for the acceptance of a new learning management system. British Journal of Educational Technology, 50(5).
  • 11. Hamidi, H., Jahanshaheefard, M. (2019). Essential factors for the application of education information system using mobile learning: A case study of students of the university of technology. Telematics and Informatics”, 38.
  • 12. Hair J.E., Andersson R.E., Tatham R.L. & Black W.C. (2006). Multivariate Data Analysis, New Jersey: Prentice-Hall International.
  • 13. Ibrahim, A., Adu-Gyamfi, M. & Kassim, B.A. (2018). Factors affecting the adoption of ICT by administrators in the university for development studies tamale: empirical evidence from the utaut model. International Journal of Sustainability Management and Information Technologies, 4(1).
  • 14. Ismail, N.Z., Razak, M.R., Zakariah, Z., Alias, N. & Aziz, M.N.A. (2012). E-learning continuance intention among higher learning institution students’ in Malaysia. Procedia-Social and Behavioral Sciences, 67.
  • 15. Jang, S.H., Kim, R.H. & Lee, C.W. (2016). Effect of u-healthcare service quality on usage intention in a healthcare service. Technological Forecasting and Social Change, 113, 396-403.
  • 16. Mardiana, S., Tjakraatmadja, J.H. & Aprianingsih, A. (2015). Validating the Conceptual Model for Predicting Intention to Use as Part of Information System Success Model: The Case of an Indonesian Government Agency. Procedia Computer Science, 72, 353-360.
  • 17. Morańska, D. (2016). E-competences as a condition of the development of information society. Forum Scientiae Oeconomia, 4(2), 51-59.
  • 18. Negash, S., Ryan, T. & Igbaria, M. (2003). Quality and effectiveness in web-based customer support systems. Information & Management, 40(8).
  • 19. Ojo, A.I. (2017). Validation of the DeLone and McLean information systems success model. Healthcare Informatics Research, 23(1).
  • 20. Phuong, N.N.D., Dai Trang, T.T. (2018). Repurchase intention: The effect of service quality, system quality, information quality, and customer satisfaction as mediating role: a PLS approach of m-commerce ride hailing service in Vietnam. Marketing and Branding Research, 5(2).
  • 21. Rahi, S., Abd. Ghani, M. (2019). Investigating the role of UTAUT and e-service quality in internet banking adoption setting. The TQM Journal, 31(3).
  • 22. Rajiani, I., Ismail, N. (2019). Management Innovation in Balancing Technology Innovation to Harness Universities Performance in the Era of Community 4.0. Polish Journal of Management Studies, 19(1), 309-321.
  • 23. Rajiani, I., Bačík, R., Fedorko, R., Rigelský, M., & Szczepańska-Woszczyna, K. (2018). The alternative model for quality evaluation of health care facilities based on outputs of management processes. Polish Journal of Management Studies, 17(1), 194-208
  • 24. Rouibah, K., Lowry, P.B. & Almutairi, L. (2015). Dimensions of business-to-consumer (B2C) systems success in Kuwait: testing a modified DeLone and McLean IS success model in an e-commerce context. Journal of Global Information Management, 23(3).
  • 25. Saleem, N.E., Al-Saqri, M.N. and Ahmad, S.E. (2016). Acceptance of Moodle as a teaching / learning tool by the faculty of the department of information studies at Sultan Qaboos University, Oman based on UTAUT. International Journal of Knowledge Content Development & Technology, 6(2).
  • 26. Shaltoni, A.M., Khraim, H., Abuhamad, A. & Amer, M. (2015). Exploring students’ satisfaction with universities’ portals in developing countries: A cultural perspective. The International Journal of Information and Learning Technology, 32(2).
  • 27. Shin, D.H. (2017). Conceptualizing and measuring quality of experience of the internet of things: Exploring how quality is perceived by users. Information & Management, 54(8).
  • 28. Shin, W., Ahn, H. (2019). Effects of innovation characteristics of cloud computing services, technostress on innovation resistance and acceptance intention: focused on public sector. Knowledge Management Research, 20.
  • 29. Tam, C., Oliveira, T. (2016). Understanding the impact of m-banking on individual performance: DeLone & McLean and TTF perspective. Computers in Human Behavior, 61.
  • 30. van de Weerd, I., Mangula, I.S. & Brinkkemper, S. (2016). Adoption of software as a service in Indonesia: examining the influence of organizational factors. Information & Management, 53(7).
  • 31. van der Vaart, R., Atema, V. & Evers, A.W. (2016). Guided online self-management interventions in primary care: a survey on use, facilitators, and barriers. BMC Family Practice,17(1).
  • 32. Venkatesh, V., Thong, J.Y., Chan, F.K., Hu, P.J.H. & Brown, S.A. (2011). Extending the two‐stage information systems continuance model: Incorporating UTAUT predictors and the role of context. Information Systems Journal, 21(6).
  • 33. Vijai, J.P. (2018). Examining the relationship between system quality, knowledge quality and user satisfaction in the success of knowledge management system: an empirical study. International Journal of Knowledge Management Studies, 9(3).
  • 34. Zhang, H., Deng, Y. (2018). Engine fault diagnosis based on sensor data fusion considering information quality and evidence theory. Advances in Mechanical Engineering, 10(11).
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d4d18a51-7001-47ab-8f46-62e84d4f779e
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