Nurdin Nurdin
ABSTRACT
The objective of this study is to find out the continuance adoption and use of a Geographic Information System (GIS) for scholarship recipient distribution in Central Sulawesi. For the data gathering instrument, we employed an online structured questionnaire. One hundred fifty scholarship administrators were selected from fifteen state and private higher education institutions in Palu Central Sulawesi. They were assigned a five-scale survey. All completed questionnaires were analyzed using AMOS. The findings show that the factors of perceived usefulness, perceived ease of use, information quality, system quality, and change management have significantly influenced the continuance adoption and use of the geographic information system by university scholarship administrators. The results highlighted that when a system was developed based on those criteria, the sustainable adoption and use of the geographic information system can be consistently maintained to improve universities' scholarship management and distribution. Our study contributes to the body of knowledge in geographic information system continuance adoption and use within education institutions and to practices that support universities for better scholarship management and distribution.
- R. L. Hess, R. S. Rubin, and L. A. West, "Geographic information systems as a marketing information system technology," Decision Support Systems, vol. 38, pp. 197-212, 2004/11/01/ 2004.Google Scholar
Digital Library
- R. Claus, "Argumentation Mapping in Collaborative Spatial Decision Making," in Collaborative Geographic Information Systems, B. Shivanand and D. Suzana, Eds., ed Hershey, PA, USA: IGI Global, 2006, pp. 85-102.Google Scholar
- S. Contini, F. Bellezza, M. D. Christou, and C. Kirchsteiger, "The use of geographic information systems in major accident risk assessment and management," Journal of Hazardous Materials, vol. 78, pp. 223-245, 2000/11/03/ 2000.Google ScholarCross Ref
- V. A. Tsihrintzis, R. Hamid, and H. R. Fuentes, "Use of Geographic Information Systems (GIS) in water resources: A review," Water Resources Management, vol. 10, pp. 251-277, 1996/08/01 1996.Google ScholarCross Ref
- J. Larsen, Z. Patterson, and A. El-Geneidy, "Build It. But Where? The Use of Geographic Information Systems in Identifying Locations for New Cycling Infrastructure," International Journal of Sustainable Transportation, vol. 7, pp. 299-317, 2013/06/01 2013.Google ScholarCross Ref
- V. Maliene, V. Grigonis, V. Palevičius, and S. Griffiths, "Geographic information system: Old principles with new capabilities," URBAN DESIGN International, vol. 16, pp. 1-6, 2011/01/01 2011.Google ScholarCross Ref
- R. L. Sanders, L. T. Kajs, and C. M. Crawford, "Electronic Mapping in Education," Journal of Research on Technology in Education, vol. 34, pp. 121-129, 2001/12/01 2001.Google ScholarCross Ref
- A. Dache-Gerbino, "Mapping the Postcolonial Across Urban and Suburban College Access Geographies," Equity & Excellence in Education, vol. 50, pp. 368-386, 2017/10/02 2017.Google ScholarCross Ref
- V. Fast and C. Rinner, "Toward a participatory VGI methodology: crowdsourcing information on regional food assets," International Journal of Geographical Information Science, vol. 32, pp. 2209-2224, 2018/11/02 2018.Google ScholarCross Ref
- T. E. Chow, R. T. Schuermann, A. H. Ngu, and K. R. Dahal, "Spatial mining of migration patterns from web demographics," International Journal of Geographical Information Science, vol. 32, pp. 1977-1998, 2018/10/03 2018.Google ScholarCross Ref
- L. Wan, Y. Hong, Z. Huang, X. Peng, and R. Li, "A hybrid ensemble learning method for tourist route recommendations based on geo-tagged social networks," International Journal of Geographical Information Science, vol. 32, pp. 2225-2246, 2018/11/02 2018.Google ScholarCross Ref
- C. Estes, "Geographic Information Systems," Office of Information Technology Services, North Carolina2014.Google Scholar
- R. R. Aliyyah, U. Rosyidi, and R. Yazid, "An Evaluative Study of an Education Scholarship Program (BidikMisi) for Students in Indonesia," Journal of Physics: Conference Series, vol. 1175, pp. 1-7, 2019.Google Scholar
- C. Liao, P. Palvia, and J.-L. Chen, "Information technology adoption behavior life cycle: Toward a Technology Continuance Theory (TCT)," International Journal of Information Management, vol. 29, pp. 309-320, 2009/08/01/ 2009.Google ScholarDigital Library
- A. Bhattacherjee, J. Perols, and C. Sanford, "Information Technology Continuance: A Theoretic Extension and Empirical Test," Journal of Computer Information Systems, vol. 49, pp. 17-26, 2008/09/01 2008.Google ScholarCross Ref
- C. Cheung and M. Limayem, "The Role of Habit in Information Systems Continuance: Examining the Evolving Relationship Between Intention and Usage," in ICIS 2005 Proceedings, 2005.Google Scholar
- N. Nurdin, S. S. Pettalongi, and M. N. Ahsan, "Implementation of Teaching Quality Assessment System Using Android," in 2019 5th International Conference on Science and Technology (ICST), 2019, pp. 1-6.Google Scholar
- N. Nurdin, S. S. Pettalongi, and M. Mangasing, "Understanding Digital Skill Use from The Technology Continuance Theory (TCT)," in 2019 6th International Conference on Information Technology, Computer and Electrical Engineering (ICITACEE), 2019, pp. 1-6.Google Scholar
- J. Gebauer, M. J. Shaw, and M. L. Gribbins, "Task-technology fit for mobile information systems," Journal of Information Technology, vol. 25, pp. 259-272, 2010/09/01 2010.Google ScholarCross Ref
- F. D. Davis, "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology," in MIS Quarterly vol. 13, ed: MIS Quarterly & The Society for Information Management, 1989, pp. 319-340.Google Scholar
- V. Venkatesh and F. D. Davis, "A Model of the Antecedents of Perceived Ease of Use: Development and Test*," Decision Sciences, vol. 27, pp. 451-481, 1996.Google ScholarCross Ref
- R. Filieri, F. Acikgoz, V. Ndou, and Y. Dwivedi, "Is TripAdvisor still relevant? The influence of review credibility, review usefulness, and ease of use on consumers’ continuance intention," International Journal of Contemporary Hospitality Management, vol. 33, pp. 199-223, 2021.Google ScholarCross Ref
- A. A. Brandyberry, X. Li, and L. Lin. (2010, Determinant of Perceived of Usefulness and Perceive of Ease of Use in Individual Adoption of Social Networks Sites. Americas Conference on Information Systems (AMCIS) 2010 Proceedings.Google Scholar
- A. A. Hamid, F. Z. A. Razak, A. A. Bakar, and W. S. W. Abdullah, "The Effects of Perceived Usefulness and Perceived Ease of Use on Continuance Intention to Use E-Government," Procedia Economics and Finance, vol. 35, pp. 644-649, 2016/01/01/ 2016.Google ScholarCross Ref
- R. Lukyanenko, A. Wiggins, and H. K. Rosser, "Citizen Science: An Information Quality Research Frontier," Information Systems Frontiers, vol. 22, pp. 961-983, 2020/08/01 2020.Google ScholarDigital Library
- N. T. M. Demoulin and K. Coussement, "Acceptance of text-mining systems: The signaling role of information quality," Information & Management, vol. 57, p. 103120, 2020/01/01/ 2020.Google ScholarDigital Library
- N. Gorla, T. M. Somers, and B. Wong, "Organizational impact of system quality, information quality, and service quality," The Journal of Strategic Information Systems, vol. 19, pp. 207-228, 2010/09/01/ 2010.Google ScholarDigital Library
- R. R. Nelson, P. A. Todd, and B. H. Wixom, "Antecedents of Information and System Quality: An Empirical Examination Within the Context of Data Warehousing," Journal of Management Information Systems, vol. 21, pp. 199-235, 2005/04/01 2005.Google ScholarDigital Library
- J. J. James, G. Klein, and L. C. Christopher, "Measuring Information System Service Quality: SERVQUAL from the Other Side," MIS Quarterly, vol. 26, pp. 145-166, 2002.Google ScholarDigital Library
- W. H. DeLone and E. R. McLean, "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, vol. 3, pp. 60-95, 1992.Google ScholarDigital Library
- A. B. Kiros and P. U. Aray, "Tigrigna language spellchecker and correction system for mobile phone devices," International Journal of Electrical and Computer Engineering (IJECE), vol. 11, pp. 2301-2314, 2021.Google ScholarCross Ref
- O. Maali, B. Lines, J. Smithwick, K. Hurtado, and K. Sullivan, "Change management practices for adopting new technologies in the design and construction industry," Journal of Information Technology in Construction, vol. 25, 2020.Google ScholarCross Ref
- S. Yusif, A. Hafeez-Baig, and J. Soar, "Change management and adoption of health information technology (HIT)/eHealth in public hospitals in Ghana: A qualitative study," Applied Computing and Informatics, vol. 18, pp. 279-289, 2022.Google ScholarCross Ref
- A. Vahdat, A. Alizadeh, S. Quach, and N. Hamelin, "Would you like to shop via mobile app technology? The technology acceptance model, social factors and purchase intention," Australasian Marketing Journal, vol. 29, pp. 187-197, 2021.Google ScholarCross Ref
- K.-W. Fu, W. S. C. Chan, P. W. C. Wong, and P. S. F. Yip, "Internet addiction: prevalence, discriminant validity and correlates among adolescents in Hong Kong," British Journal of Psychiatry, vol. 196, pp. 486-492, 2018.Google ScholarCross Ref
- M. S. Hossain, C. K. Gadagamma, Y. Bhattacharya, M. Numada, N. Morimura, and K. Meguro, "Integration of smart watch and Geographic Information System (GIS) to identify post-earthquake critical rescue area part. I. Development of the system," Progress in Disaster Science, vol. 7, p. 100116, 2020/10/01/ 2020.Google ScholarCross Ref
- T. Sarmah, S. Das, A. Narendr, and B. H. Aithal, "Assessing human vulnerability to urban flood hazard using the analytic hierarchy process and geographic information system," International Journal of Disaster Risk Reduction, vol. 50, p. 101659, 2020/11/01/ 2020.Google ScholarCross Ref
- M. M. Elaish, N. A. Ghani, L. Shuib, and A. Al-Haiqi, "Development of a Mobile Game Application to Boost Students’ Motivation in Learning English Vocabulary," IEEE Access, vol. 7, pp. 13326-13337, 2019.Google ScholarCross Ref
- R. S. Al-Maroof and S. A. Salloum, "An Integrated Model of Continuous Intention to Use of Google Classroom," in Recent Advances in Intelligent Systems and Smart Applications, M. Al-Emran, K. Shaalan, and A. E. Hassanien, Eds., ed Cham: Springer International Publishing, 2021, pp. 311-335.Google Scholar
- J. Melcher, E. Camacho, S. Lagan, and J. Torous, "College student engagement with mental health apps: analysis of barriers to sustained use," Journal of American College Health, pp. 1-7, 2020.Google Scholar
- X. C. Le, "Charting sustained usage toward mobile social media application: the criticality of expected benefits and emotional motivations," Asia Pacific Journal of Marketing and Logistics, vol. 34, pp. 576-593, 2022.Google ScholarCross Ref
- F. B. Franque, T. Oliveira, C. Tam, and F. d. O. Santini, "A meta-analysis of the quantitative studies in continuance intention to use an information system," Internet Research, vol. 31, pp. 123-158, 2021.Google ScholarCross Ref
- J. Lu, C. Liu, and J. Wei, "How Important Are Enjoyment and Mobility for Mobile Applications?," Journal of Computer Information Systems, vol. 57, pp. 1-12, 2017/01/02 2017.Google ScholarCross Ref
Recommendations
Continuance intention to use MOOCs
The purpose of this study is to propose a unified model integrating the technology acceptance model (TAM), task fit technology (TTF) model, MOOCs features and social motivation to investigate continuance intention to use MOOCs. A sample of 252 ...
Information technology adoption behavior life cycle: Toward a Technology Continuance Theory (TCT)
For over a decade, researchers have devoted much effort to construct theoretical models, such as the Technology Acceptance Model (TAM) and the Expectation Confirmation Model (ECM) for explaining and predicting user behavior in IS acceptance and ...
How pre-adoption expectancies shape post-adoption continuance intentions: An extended expectation-confirmation model
Highlights- This work proposes a new extended expectation-confirmation model.
- Perceived ...
AbstractExtant research examines the factors that cause the initial adoption of digital technologies, like mobile wallets, with limited focus on post-adoption behaviours. This work proposes a novel extended expectation–confirmation model which ...
Comments