Modeling the Factors Influencing the Adoption of a Map-Based Disaster Application in Indonesia: A Case of SIKK Magelang

Kartika Puspita Sari, Hidehiko Kanegae

Abstract

Indonesia has high exposure to natural hazards, frequent disaster events, and a highly vulnerable population. Hence, risk communication and disaster information dissemination are crucial to reducing risks. Numerous disaster mobile applications (apps) with location-based services or maps already exist for facilitating risk communication to the public; however, availability does not automatically translate into use or adoption. Therefore, to understand the factors influencing the adoption of a map-based disaster app, the factors that affect the adoption of a local government-initiated map-based disaster app in Indonesia, namely Sistem Informasi Kebencanaan Kabupaten Magelang, or Disaster Information System of Magelang Regency (SIKK Magelang), were examined through the theoretical lenses of a combined information system (IS) success model. Partial Least Squared – Structural Equation Modelling (PLS-SEM), with the help of Smart-PLS, was used to examine the hypothesized relationships among the proposed constructs (latent variables). Nine exogenous latent variables were proposed as the antecedents of intention to use a map-based disaster application (the endogenous latent variable), including information quality, system quality, familiarity with online maps, perceived usefulness, user satisfaction, facilitating conditions, risk perceptions, information seeking behavior, and perceived quality of the Internet connection. Information-seeking behavior was also predicted to be influenced by risk perception. A questionnaire survey with an app trial was conducted in Magelang Regency for data collection. The study results confirmed the applicability of the combined IS success model frameworks in predicting the adoption of this map-based disaster app by the public. Although new constructs representing disaster-related online maps and familiarity with those maps were initially proposed in the contextual model, the model validation results showed that intention to use SIKK Magelang was significantly influenced only by perceived usefulness and user satisfaction. Practically, this study’s results offer guidance to the local emergency managers in Indonesia, especially Magelang Regency, regarding how to develop strategies to increase the app’s adoption.

 Keywords

factors; adoption; SIKK Magelang; map-based disaster application; Indonesia

 Full Text:

PDF

References

Al-Shafi, S., & Weerakkody, V. (2010). Factors affecting e-government adoption in the state of Qatar. Proceedings of the European, Mediterranean and Middle Eastern Conference on Information Systems: Global Information Systems Challenges in Management, 1–23. EMCIS2010. Retrieved from http://bura.brunel.ac.uk/handle/2438/4395

Alawneh, A., Al-Refai, H., & Batiha, K. (2013). Measuring user satisfaction from e-Government services: Lessons from Jordan. Government Information Quarterly, 30(3), 277–288. https://doi.org/10.1016/j.giq.2013.03.001

Almarashdeh, I. (2016). Sharing instructors experience of learning management system: A technology perspective of user satisfaction in a distance learning course. Computers in Human Behavior, 63, 249–255. https://doi.org/10.1016/j.chb.2016.05.013

Aloudat, A., Michael, K., Chen, X., & Al-Debei, M. M. (2014). Social acceptance of location-based mobile government services for emergency management. Telematics and Informatics, 31(1), 153–171. https://doi.org/10.1016/j.tele.2013.02.002

Alsabawy, A. Y., Cater-Steel, A., & Soar, J. (2016). Determinants of perceived usefulness of e-learning systems. Computers in Human Behavior, 64, 843–858. https://doi.org/10.1016/j.chb.2016.07.065

Appleby‐Arnold, S., Brockdorff, N., Fallou, L., & Bossu, R. (2019). Truth, trust, and civic duty: Cultural factors in citizens’ perceptions of mobile phone apps and social media in disasters. Journal of Contingencies and Crisis Management, 27(4), 293–305. https://doi.org/10.1111/1468-5973.12282

Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94. https://doi.org/10.1007/BF02723327

Bishop, B. W., Haggerty, K. C., & Richardson, B. E. (2015). Usability of e-government mapping applications: Lessons learned from the US National Atlas. International Journal of Cartography, 1(2), 134–150. https://doi.org/10.1080/23729333.2015.1093333

Cheng, J. W., & Mitomo, H. (2017). The underlying factors of the perceived usefulness of using smart wearable devices for disaster applications. Telematics and Informatics, 34(2), 528–539. https://doi.org/10.1016/j.tele.2016.09.010

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/http://dx.doi.org/10.2307/249008

DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60–95. https://doi.org/10.1287/isre.3.1.60

DeLone, W., & McLean, E. (2003). The DeLone and McLean Model of Information Systems Success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748

Dransch, D., Rotzoll, H., & Poser, K. (2010). The contribution of maps to the challenges of risk communication to the public. International Journal of Digital Earth, 3(3), 292–311. https://doi.org/10.1080/17538941003774668

Dwivedi, Y. K., Rana, N. P., Janssen, M., Lal, B., Williams, M. D., & Clement, M. (2017). An empirical validation of a unified model of electronic government adoption (UMEGA). Government Information Quarterly, 34(2), 211–230. https://doi.org/10.1016/j.giq.2017.03.001

Fischer, D., Putzke-Hattori, J., & Fischbach, K. (2019). Crisis warning apps: Investigating the factors influencing usage and compliance with recommendations for action. Proceedings of the 52nd Hawaii International Conference on System Sciences, 639–648. https://doi.org/10.24251/HICSS.2019.079

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312

Gefen, D., Straub, D., & Boudreau, M.-C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the Association for Information Systems, 4(7), 1–77. https://doi.org/10.17705/1CAIS.00407

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed). Sage.

Hair Jr., J. F., Black, W. C., Babin, B. J., & Anderson, R. E. A. (2010). Multivariate data analysis (Seventh Ed). Prentice Hall.

Hoehle, H., & Venkatesh, V. (2015). Mobile application usability: Conceptualization and instrument development. MIS Quarterly, 39(2), 435–472. https://doi.org/10.25300/MISQ/2015/39.2.08

Kawasaki, A., Berman, M. L., & Guan, W. (2013). The growing role of web-based geospatial technology in disaster response and support. Disasters, 37(2), 201–221. https://doi.org/10.1111/j.1467-7717.2012.01302.x

Lallmahomed, M. Z. I., Lallmahomed, N., & Lallmahomed, G. M. (2017). Factors influencing the adoption of e-Government services in Mauritius. Telematics and Informatics, 34(4), 57–72. https://doi.org/10.1016/j.tele.2017.01.003

Leguina, A. (2015). A primer on partial least squares structural equation modeling (PLS-SEM). International Journal of Research & Method in Education, 38(2), 220–221. https://doi.org/10.1080/1743727X.2015.1005806

Liu, B. F., Wood, M. M., Egnoto, M., Bean, H., Sutton, J., Mileti, D., & Madden, S. (2017). Is a picture worth a thousand words? The effects of maps and warning messages on how publics respond to disaster information. Public Relations Review, 43(3), 493–506. https://doi.org/10.1016/j.pubrev.2017.04.004

Meechang, K., Leelawat, N., Tang, J., & Kodaka, A. (2020). The acceptance of using information technology for disaster risk management: A systematic review. Engineering Journal, 24(4), 111–132. https://doi.org/10.4186/ej.2020.24.4.111

Murenzi, P., & Olivier, B. (2017). E-government challenges faced by selected district municipalities in South Africa and Rwanda. Administratio Publica, 25(1), 141–171. http://ir.cut.ac.za/bitstream/handle/11462/1497/Murenzi%2CP%3BOlivier%2CB%3BPages p.141-171.pdf?sequence=1&isAllowed=y

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory. McGraw-Hill.

Park, E., & Ohm, J. (2014). Factors influencing users’ employment of mobile map services. Telematics and Informatics, 31(2), 253–265. https://doi.org/10.1016/j.tele.2013.07.002

Park, H., & Lee, T. (2018). Adoption of e-government applications for public health risk communication: Government trust and social media competence as primary drivers. Journal of Health Communication, 23(8), 712–723. https://doi.org/10.1080/10810730.2018.1511013

Petter, S., DeLone, W., & McLean, E. (2008). Measuring information systems success: models, dimensions, measures, and interrelationships. European Journal of Information Systems, 17(3), 236–263. https://doi.org/10.1057/ejis.2008.15

Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., & Pahnila, S. (2004). Consumer acceptance of online banking: An extension of the technology acceptance model. Internet Research, 14(3), 224–235. https://doi.org/10.1108/10662240410542652

Rallis, S., Chatzoudes, D., Symeonidis, S., Aggelidis, V., & Chatzoglou, P. (2019). Factors affecting intention to use e-government services: The case of non-adopters. In M. Themistocleous & P. R. da Cunha (Eds.), Information Systems 15th European, Mediterranean, and Middle Eastern Conference, EMCIS 2018, Limassol, Cyprus, October 4-5, 2018, Proceedings (Vol. 341, pp. 302–315). Springer International Publishing. https://doi.org/10.1007/978-3-030-11395-7_25

Rana, N., Dwivedi, Y., Percy, N., & Williams, M. (2014). Measuring intention to use and satisfaction with electronic district system: Validation of a combined model of IS success. UK Academy for Information Systems Conference Proceedings 2014 UK, 49(2), 13–24. Retrieved from http://aisel.ainet.org/ukais2014

Rana, N., Janssen, M., Sahu, G. P., Baabdullah, A., & Dwivedi, Y. (2019). Citizens’ perception about m-government services: Results from an exploratory survey. Proceedings of the 52nd Hawaii International Conference on System Sciences, 6, 3356–3365. https://doi.org/10.24251/HICSS.2019.405

Rana, N. P., Dwivedi, Y. K., & Williams, M. D. (2013). Examining the factors affecting intention to use of, and user Satisfaction with online public grievance redressal system (OPGRS) in India. In IFIP Advances in Information and Communication Technology (Vol. 402, pp. 240–260). https://doi.org/10.1007/978-3-642-38862-0_15

Reuter, C., Kaufhold, M. A., Spielhofer, T., & Hahne, A. S. (2017). Social media in emergencies. Proceedings of the ACM on Human-Computer Interaction, 1(CSCW), 1–19. https://doi.org/10.1145/3134725

Ringle, C. M., Wende, S., & Becker, J. M. (2015). SmartPLS 3 (3.3.2). SmartPLS GmbH.

Rogers, G. O. (2020). Risk communication: A review and peek ahead. In M. K. Lindell (Ed.), The Routledge handbook of urban disaster resilience integrating mitigation, preparedness, and recovery planning (pp. 52–64). Routledge.

Sarshar, P., Nunavath, V., & Radianti, J. (2015). On the usability of smartphone apps in emergencies. In M. Kurosu (Ed.), Human-computer interaction: Interaction technologies (pp. 765–774). Springer International Publishing.

Sathye, M. (1999). Adoption of Internet banking by Australian consumers: An empirical investigation. International Journal of Bank Marketing, 17(7), 324–334. https://doi.org/10.1108/02652329910305689

Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean model of IS. Information Systems Research, 8(3), 240–253. https://doi.org/http://dx.doi.org/10.1287/isre.8.3.240

Seddon, P., & Kiew, M.-Y. (1996). A partial test and development of Delone and Mclean’s model of IS success. Australasian Journal of Information Systems, 4(1), 90–109. https://doi.org/10.3127/ajis.v4i1.379

Shareef, M. A., Dwivedi, Y. K., Stamati, T., & Williams, M. D. (2014). SQ mGov: A comprehensive service-quality paradigm for mobile government. Information Systems Management, 31(2), 126–142. https://doi.org/10.1080/10580530.2014.890432

Shareef, M. A., Kumar, V., Kumar, U., & Dwivedi, Y. K. (2011). e-Government adoption model (GAM): Differing service maturity levels. Government Information Quarterly, 28(1), 17–35. https://doi.org/10.1016/j.giq.2010.05.006

Straub, D. W. (1989). Validating instruments in MIS research. MIS Quarterly, 13(2), 103–118.

Susanto, T. D., & Goodwin, R. (2010). Factors influencing citizen adoption of SMS-based e-government services. Electronic Journal of EGovernment, 8(1), 55–70. https://doi.org/10.1504/IJMLO.2010.029953

Tan, M. L., Prasanna, R., Stock, K., Hudson-Doyle, E., Leonard, G., & Johnston, D. (2017). Mobile applications in crisis informatics literature: A systematic review. International Journal of Disaster Risk Reduction, 24(November 2016), 297–311. https://doi.org/10.1016/j.ijdrr.2017.06.009

Tan, M., Prasanna, R., Hudson-Doyle, E., Stock, K., Johnston, D., & Leonard, G. (2018). Usability factors affecting the continuance intention of disaster apps. ISCRAM Asia Pacific 2018 Proceedings - 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific., 2018(January 2019), 326–338. Retrieved from

http://idl.iscram.org/files/marionlaratan/2018/1646_MarionLaraTan_etal2018.pdf

Teeuw, R. M., Leidig, M., Saunders, C., & Morris, N. (2013). Free or low-cost geoinformatics for disaster management: Uses and availability issues. Environmental Hazards, 12(2), 112–131. https://doi.org/10.1080/17477891.2012.706214

Thomas, D. S. K. (2018). The role of geographic information science & technology in disaster management. In H. Rodríguez, W. Donner, & J. E. Trainor (Eds.), Handbook of disaster research, handbook of sociology and social research (Second Edi, pp. 311–330). Springer International Publishing AG. https://doi.org/https://doi.org/10.1007/978-3-319-63254-4

Urbach, N., & Müller, B. (2012). The updated DeLone and McLean model of information systems success. In Y. K. Dwivedi, S. L. Schneberger, & M. R. Wade (Eds.), Information systems theory: Explaining and predicting our digital society vol. 1 (Integrated, pp. 1–18). https://doi.org/DOI 10.1007/978-1-4419-6108-2

Venkatesh, Thong, & Xu. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157. https://doi.org/10.2307/41410412

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540

Verkijika, S. F., & De Wet, L. (2018). E-government adoption in sub-Saharan Africa. Electronic Commerce Research and Applications, 30(May), 83–93. https://doi.org/10.1016/j.elerap.2018.05.012

Wirtz, B. W., & Kurtz, O. T. (2016). Local e-government and user satisfaction with city portals – The citizens’ service preference perspective. International Review on Public and Nonprofit Marketing, 13(3), 265–287. https://doi.org/10.1007/s12208-015-0149-0

Xu, F., & Du, J. T. (2018). Factors influencing users’ satisfaction and loyalty to digital libraries in Chinese universities. Computers in Human Behavior, 83, 64–72. https://doi.org/10.1016/j.chb.2018.01.029

DOI: https://doi.org/10.24815/ijdm.v3i2.17897

Refbacks

  • There are currently no refbacks.
Copyright (c) 2020 Kartika Puspita Sari, Hidehiko Kanegae Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.