UPSI Digital Repository (UDRep)
|
|
|
Abstract : Universiti Pendidikan Sultan Idris |
Since the turn of the 21st century, service providers such as government departments
have transformed their services from e-government to m-government for widespread
customer reach. The lack of an application for the Ministry of Housing and Urban
Planning to render its services to citizens and the several issues that obstruct the
implementation of the system, especially in rural areas, necessitate this study.
Therefore, the researcher proposes a novel framework based on the Fuzzy Delphi
Model (FDM) to provide digital literacy and services. This framework considered the
variables extracted from previous studies. Furthermore, a survey was conducted on 20
experts to determine the accepted variables. Other than that, the conceptual framework
is developed from the accepted results using 11 different variables based on the
Technology Acceptance Model (TAM). Consequently, a survey was formulated and
conducted on 428 relevant citizens to collect the data and evaluate 13 hypotheses using
partial least squares structural equation modelling (PLS-SEM). In the results, all the
tested hypotheses were supported. After that, an application was developed by
considering Nielsen's design principles of human-computer interaction, Shneiderman's
eight golden rules, and Culturally Appropriate Design Guidelines (CADG). In addition,
15 experts tested the application, and their answers were analyzed using Fuzzy Delphi.
A heuristic evaluation was conducted on 249 participants to evaluate the usability of
the developed application, showing that the developed application's design is suitable
for the local culture of Oman. Apart from that, the study implications include three
aspects: theoretical, methodological, and practical implications. For theoretical
implication, using culture and social influence variables is expected to fill the gap
within the extant literature, particularly using TAM. For methodological implication,
the study has demonstrated that the qualitative approach of thematic analysis, the
quantitative SmartPLS, and the Fuzzy Delphi methods can all be combined in a single
study. Although the Oman Ministry of Housing and Urban Planning now lacks an
application for delivering its services to citizens, by adopting the application suggested
herein or some local cultural design elements of the findings of the study. Additionally,
it can contribute to helping to deliver better services to its citizens. They can also serve
as a resource for many government entities and ministries. |
References |
Abdali, T. A. N., Hassan, R., & Mohd Aman, A. H. (2021). A new feature in mysejahtera application to monitoring the spread of COVID-19 using fog computing. 2021 3rd International Cyber Resilience Conference (CRC) (pp. 1–4). https://doi.org/10.1109/CRC50527.2021.9392534 Abdelghaffar, H., & Magdy, Y. (2012). The adoption of mobile government services in developing countries: The case of Egypt. International Journal of Information and Communication Technology Research, 2(4), 333–341. Abdullah, A.-M., Naser, K., & Fayez, F. (2018). Obstacles toward adopting electronic government in an emerging economy: Evidence from Kuwait. Asian Economic and Financial Review, 8(6), 832–842. https://doi.org/10.18488/journal.aefr.2018.86.832.842 Abu-Shanab, E. A., & Haider, S. (2015). Major factors influencing the adoption of m-government in Jordan. Electronic Government, An International Journal, 11(7), 223–240. Abu-Shanab, E. A., & Shihadeh, S. A. (2016). Factors influencing G-SMS adoption by Jordanian citizens. 2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), 1–6. https://doi.org/10.1109/R10-HTC.2016.7906842 Abu Bakar, N. S., Abdul Rahman, A., & Abdull Hamed, H. N. (2015). The implementation of Malaysian m-government services. Advanced Science Letters, 21(5), 1122–1126. https://doi.org/10.1166/asl.2015.6020 Abu Tair, H. Y. A., & Abu-Shanab, E. A. (2014). Mobile government services: Challenges and opportunities. International Journal of Technology Diffusion, 5(1), 17–25. https://doi.org/10.4018/ijtd.2014010102 Agarwal, R., & Karahanna, E. (1998). On the multi-dimensional nature of compatibility beliefs in technology acceptance. Proceedings of the 19th Annual International Conference on Information Systems (pp. 13–16). Agarwal, R., & Prasad, J. (1999). Are individual differences germane to the acceptance of new information technologies? Decision Sciences, 30(2), 361–391. https://doi.org/10.1111/j.1540-5915.1999.tb01614.x Ahmad, M., & Othman, R. (2006). Implementation of electronic government in Malaysia: The status and potential for better service to the public. Public Sector ICT Management Review, 1(1), 2–10. Ahmad, S. Z., & Khalid, K. (2017). The adoption of M-government services from the user’s perspectives: Empirical evidence from the United Arab Emirates. International Journal of Information Management, 37(5), 367–379. https://doi.org/10.1016/j.ijinfomgt.2017.03.008 Ajmal, S., Mufti, M., & Shah, Z. A. (2011). Impact of illusion of control on perceived efficiency in Pakistani financial markets. Abasyn Journal of Social Sciences, 5(2), 5100–5110. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T Al-Azawei, A., & Alowayr, A. (2020). Predicting the intention to use and hedonic motivation for mobile learning: A comparative study in two Middle Eastern countries. Technology in Society, 62, 101325. https://doi.org/10.1016/j.techsoc.2020.101325 Al-Busaidi, H. A. S. (2012). A model of intention to use mobile government services. Doctoral dissertation, Victoria University. Al-Hadidi, A., & Rezgui, Y. (2010). Adoption and diffusion of m-government: Challenges and future directions for research. In L. M. Camarinha-Matos, X. Boucher, & H. Afsarmanesh (Eds.), Proceeding of the 11th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2010 (pp. 88–94). Springer. Al-Hubaishi, H. S., Ahmad, S. Z., & Hussain, M. (2017). Exploring mobile government from the service quality perspective. Journal of Enterprise Information Management, 30(1), 4–16. https://doi.org/10.1108/JEIM-01-2016-0004 Al-Hujran, O., Al-Debei, M. M., Chatfield, A., & Migdadi, M. (2015). The imperative of influencing citizen attitude toward e-government adoption and use. Computers in Human Behavior, 53, 189–203. https://doi.org/10.1016/j.chb.2015.06.025 Al-Jabri, I. M. (2015). The intention to use mobile banking: Further evidence from Saudi Arabia. South African Journal of Business Management, 46(1), 23–34. https://hdl.handle.net/10520/EJC168468 Al-Khamayseh, S., Lawrence, E., & Zmijewska, A. (2006). Towards understanding success factors in interactive mobile government. Proceedings of Euro MGov. Al-Rahmi, W. M., Yahaya, N., Alamri, M. M., Alyoussef, I. Y., Al-Rahmi, A. M., & Kamin, Y. (2019). Integrating innovation diffusion theory with technology acceptance model: Supporting students’ attitude towards using a massive open online courses (MOOCs) systems. Interactive Learning Environments, 29(8), 1380–1392. https://doi.org/10.1080/10494820.2019.1629599 Al Najjar, M. A., Alabdelqader, A., & Abu-Shanab, E. A. (2019). Mobile government services and resident satisfaction: Evaluation of kahramaa mobile services. International Journal of Electronic Government Research (IJEGR), 15(2), 39–57. https://doi.org/10.4018/IJEGR.2019040103 Alaa, M., Mohd Ariff Albakri, I. S., Singh, C. K. S., Hammed, H., Zaidan, A. A., Zaidan, B. B., Albahri, O. S., Alsalem, M. A., Salih, M. M., Almahdi, E. M., Baqer, M. J., Jalood, N. S., Nidhal, S., Shareef, A. H., & Jasim, A. N. (2019). Assessment and ranking framework for the English skills of pre-service teachers based on fuzzy Delphi and TOPSIS methods. IEEE Access, 7, 126201–126223. https://doi.org/10.1109/ACCESS.2019.2936898 AlBar, A. M., & Hddas, M. A. (2018). Exploring Saudi citizens’ acceptance of mobile government service. International Journal of Advanced Computer Science and Applications, 9(11), 397–400. Albesher, A. S., & Stone, R. T. (2016). Current state of m-government research: Identifying future research opportunities. International Journal of Electronic Governance, 8(2), 119–139. https://doi.org/10.1504/IJEG.2016.078118 Alharbi, A. S., Halikias, G., Yamin, M., & Basahel, A. (2020). An overview of M-government services in Saudi Arabia. International Journal of Information Technology, 12(4), 1237–1241. https://doi.org/10.1007/s41870-020-00433-9 Alharmoodi, B. Y. R., & Lakulu, M. M. (2020). Transition from e-government to m-government: challenges and opportunities-case study of UAE. European Journal of Multidisciplinary Studies, 5(1), 61–67. https://doi.org/10.26417/453fgx96c Aljarrah, E., Elrehail, H., & Aababneh, B. (2016). E-voting in Jordan: Assessing readiness and developing a system. Computers in Human Behavior, 63, 860–867. https://doi.org/10.1016/j.chb.2016.05.076 Alkaabi, S. O., & Ayad, N. (2016). Factors affecting m-Government deployment and adoption. International Journal of Information and Communication Engineering, 10(1), 314–322. https://doi.org/10.5281/zenodo.1111532 Allain-Dupré, D. (2011). Multi-level governance of public investment: Lessons from the crisis [OECD Regional Development Working Papers, No. 2011/05]. OECD Publishing. https://doi.org/10.1787/5kg87n3bp6jb-en Almaiah, M., Al-Khasawneh, A., Althunibat, A., & Khawatreh, S. (2020). Mobile government adoption model based on combining GAM and UTAUT to explain factors according to adoption of mobile government services. International Journal of Interactive Mobile Technologies, 14(3), 199–225. https://www.learntechlib.org/p/216552/ Almarashdeh, I. A., & Alsmadi, M. K. (2016). Heuristic evaluation of mobile government portal services: An experts’ review. 2016 11th International Conference for Internet Technology and Secured Transactions (ICITST) (pp. 427–431). https://doi.org/10.1109/ICITST.2016.7856746 Almarashdeh, I. A., & Alsmadi, M. K. (2017). How to make them use it? Citizens acceptance of M-government. Applied Computing and Informatics, 13(2), 194–199. https://doi.org/10.1016/j.aci.2017.04.001 Almarashdeh, I. A., Sahari, N., Mat Zin, N. A., & Alsmadi, M. K. (2010). The success of learning management system among distance learners in Malaysian Universities. Journal of Theoretical & Applied Information Technology, 21(2), 80–91. Almiani, M., Al Dmour, A., & Razaque, A. (2015). An interactive framework to deliver mobile government services. 2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT), 1–5. https://doi.org/10.1109/AEECT.2015.7360577 Almiani, M., Razaque, A., & Al Dmour, A. (2016). Privacy preserving framework to support mobile government services. International Journal of Information Technology and Web Engineering (IJITWE), 11(3), 65–78. https://doi.org/10.4018/IJITWE.2016070105 Almuraqab, N. A. S. (2017). M-government adoption factors in the UAE: A partial least squares approach. International Journal of Business and Information, 11(4), 404–431. Almuraqab, N. A. S., Jasimuddin, S., & Mansoor, W. (2017). Mobile government (mGovernment) adoption factors in the UAE: A conceptual framework based on UTAUT. International Journal of Engineering Technology, Management and Applied Sciences, 5(3), 14–19. Alomari, M. K. (2021). M-government trust framework: Deployment of an empirical study amongst Jordanian youth. Transforming Government: People, Process and Policy, 16(1), 32–50. https://doi.org/10.1108/TG-04-2020-0062 Alonazi, M., Beloff, N., & White, M. (2018). MGAUM—towards a mobile government adoption and utilization model: The case of Saudi Arabia. The International Journal of Business and Social Science Research, 12(3), 459–466. https://doi.org/10.5281/zenodo.1316598 Alonazi, M., Beloff, N., & White, M. (2019). Perceptions towards the adoption and utilization of M-government services: A study from the citizens’ perspective in Saudi Arabia. In Information technology for management: Current research and future directions (pp. 3–26). Springer. Alotaibi, M. B. (2016). Comparing the usability of m-Business and m-Government software in Saudi Arabia: A revised Nielsen’s Heuristics method. International Journal of Advanced Computer Science and Applications, 7(1), 117–123. Alotaibi, N. H., Dasuki, S., & Zamani, E. (2021). M-Government, wilaya and women’s empowerment in the Kingdom of Saudi Arabia. ArXiv Preprint, arXiv:2108.09745. https://doi.org/10.48550/arXiv.2108.09745 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 Alqaralleh, B., Al-Omari, A., & Alksasbeh, M. (2020). An integrated conceptual model for m-Government acceptance in developing countries: The case study of Jordan. International Association of Online Engineering, 115–136. https://www.learntechlib.org/p/216479 Alrowili, T. F., Alotaibi, M. B., & Alharbi, M. S. (2015). Predicting citizens’ acceptance of M-government services in Saudi Arabia an empirical investigation. 2015 Annual IEEE Systems Conference (SysCon) Proceedings (pp. 627–633). https://doi.org/10.1109/SYSCON.2015.7116821 Alsaadi, M. R., Ahmad, S. Z., & Hussain, M. (2018). A quality function deployment strategy for improving mobile-government service quality in the Gulf cooperation council countries. Benchmarking: An International Journal, 25(8), 3276–3295. https://doi.org/10.1108/BIJ-12-2017-0333 Alshammari, T., Messom, C., & Cheung, Y. (2021). M-government continuance intentions: An instrument development and validation. Information Technology for Development, 28(1), 189–209. https://doi.org/10.1080/02681102.2021.1928589 Alshamsi, A., & Diabat, A. (2017). A genetic algorithm for reverse logistics network design: A case study from the GCC. Journal of Cleaner Production, 151, 652–669. https://doi.org/10.1016/j.jclepro.2017.02.096 Alshehri, M., & Drew, S. (2010). Challenges of e-government services adoption in Saudi Arabia from an e-ready citizen perspective. World Academy of Science, Engineering and Technology, 66, 1053–1059. http://www.waset.org/journals/waset/v66/v66-168.pdf Alssbaiheen, A., & Love, S. (2015a). Exploring the challenges of m-government adoption in Saudi Arabia. Electronic Journal of E-Government, 13(1), 18–27. Alssbaiheen, A., & Love, S. (2015b). m-Government adoption in Saudi Arabia: challenges and opportunities. International Journal of Technology and Human Interaction (IJTHI), 11(3), 51–68. https://doi.org/10.4018/ijthi.2015070104 Alssbaiheen, A., & Love, S. (2016). Mobile government in Saudi Arabia: Challenges and opportunities. International Journal of Mobile Human Computer Interaction (IJMHCI), 8(3), 18–37. https://doi.org/10.4018/IJMHCI.2016070102 Alssbaiheen, A., & Love, S. (2021). Testing m-payment for utilities in Saudi Arabia barriers and opportunities for e-government. International Journal of Operations Research and Information Systems (IJORIS), 12(2), 55–82. https://doi.org/10.4018/IJORIS.20210401.oa4 Alsswey, A. H., Al-Samarraie, H., El-Qirem, F. A., Alzahrani, A. I., & Alfarraj, O. (2020). Culture in the design of mHealth UI: An effort to increase acceptance among culturally specific groups. The Electronic Library, 38(2), 257–272. https://doi.org/10.1108/EL-04-2019-0097 Alsswey, A. H., Umar, I. N., & Bervell, B. (2018). Investigating the acceptance of mobile health application user interface cultural-based design to assist Arab elderly users. International Journal of Advanced Computer Science and Applications, 9(8), 144–152. Althunibat, A., Alrawashdeh, T. A., & Muhairat, M. (2014). The acceptance of using m-government services in Jordan. 2014 11th International Conference on Information Technology: New Generations, 643–644. https://doi.org/10.1109/ITNG.2014.65 Althunibat, A., Binsawad, M., Almaiah, M. A., Almomani, O., Alsaaidah, A., Al-Rahmi, W., & Seliaman, M. E. (2021). Sustainable applications of smart-government services: A model to understand smart-government adoption. Sustainability, 13(6), 3028. https://doi.org/10.3390/su13063028 Alwahaibi, Y. A., Ariffin, S. A., Garfan, S., Saad, A., & Dharmalingam, R. (2021). Proposing an m-government framework for the Ministry of Housing and Urban Planning in Oman: For efficient digital literacy and services. International Journal of Mobile and Blended Learning (IJMBL), 13(4), 21–44. Ameyaw, E. E., Yi Hu, M. S., Chan, A. P., & Le, Y. (2016). Application of Delphi method in construction engineering and management research: A quantitative perspective. Journal of Civil Engineering and Management, 22(8), 991–1000. https://doi.org/10.3846/13923730.2014.945953 Anus, S., Qureshi, F. A., Malik, S., Abbasi, A., Chaudhry, A., & Mirza, S. N. (2011). Trust and initial acceptance of Mobile Banking in Pakistan. International Journal of Scientific & Engineering Research, 2(11), 337–350. Arellano, A., & Cámara, N. (2017). The importance of ICT in society’s needs: An empirical approach through Maslow’s lens. Financial Inclusion Document. BBVA Research. https://www.bbvaresearch.com/wp-content/uploads/2017/08/maslow_pyramid-1.pdf Arias, M. I., Serra, F., Guerrazzi, L., & Ferreira, M. P. (2019). Intellectual foundations and mainstream research of e-government in public administration. Management Research, 17(1), 89–115. https://doi.org/10.1108/MRJIAM-07-2018-0844 Arief, A., Ayub Wahab, I. H., & Muhammad, M. (2021). Barriers and challenges of e-government services: A systematic literature review and meta-analyses. IOP Conference Series: Materials Science and Engineering, 1125(1), 012027. https://doi.org/10.1088/1757-899X/1125/1/012027 Ariffin, S. A. (2014). The contribution of mLearning to the study of local culture in the Malaysian university context. Doctoral thesis, Faculty of Engineering and Information Technology University of Technology, Sydney. Ariffin, S. A. (2017). A comparative analysis for the enhancement of design of local cultural mobile applications. Journal of ICT in Education, 4, 88–99. https://doi.org/10.37134/jictie.vol4.9.2017 Ariffin, S. A. (2020). A comparative analysis for the enhancement of design of local cultural mobile applications. Journal of Personalized Learning, 3(1), 62–70. Ariffin, S. A., & Dyson, L. E. (2015). Culturally appropriate design of mobile learning applications in the Malaysian context. In P. Rau (Ed.), Cross-cultural design applications in mobile interaction, education, health, transport and cultural heritage (pp. 3–14). Springer. https://doi.org/10.1007/978-3-319-20934-0_1 Ariffin, S. A., Ismail, A., Yatim, M. H., & Sidek, S. F. (2018). An assessment of culturally appropriate design: A Malaysian university context. International Journal of Interactive Mobile Technologies, 12(2), 207–214. https://doi.org/10.3991/ijim.v12i2.8014 Aryal, M. (2018, March 18). What is e-governance? What is the type of e-governance? ICT Frame. https://ictframe.com/what-is-e-governance-what-is-the-type-of-e-governance/ Ashraf, B. N., Zheng, C., & Arshad, S. (2016). Effects of national culture on bank risk-taking behavior. Research in International Business and Finance, 37, 309–326. https://doi.org/10.1016/j.ribaf.2016.01.015 Azarian, M. S., & Azarian, Z. S. (2014). Transformation of e-government to m-government to enhance effectiveness of service deliveries. The 2nd International Conference on Technology Commercialization. http://www.civilica.com/Paper-ICTC02-%0AICTC02_005.html Aziz, N., Che Omar, A., Abdul Mutalib, A., Ahmad, S. Z., & Muin, M. A. (2020). Uncovering the needs for a hybridized interaction design model for sign language learning through experts’ feedback. Journal of Physics: Conference Series, 1529(4), 042102. https://doi.org/10.1088/1742-6596/1529/4/042102 Baabdullah, A. M., Alalwan, A. A., & Qadi, N. S. Al. (2018). Evaluating the current situation of Mobile services (M-services) in the Kingdom of Saudi Arabia. In Y. K. Dwivedi, N. P. Rana, E. L. Slade, M. A. Shareef, M. Clement, A. C. Simintiras, & B. Lal (Eds.), Emerging markets from a multidisciplinary perspective (pp. 149–160). Springer. https://doi.org/10.1007/978-3-319-75013-2_13 Baabdullah, A. M., Alalwan, A. A., Rana, N. P., Kizgin, H., & Patil, P. (2019). Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model. International Journal of Information Management, 44, 38–52. https://doi.org/10.1016/j.ijinfomgt.2018.09.002 Bagdi, A., & Pfister, I. K. (2006). Childhood stressors and coping actions: A comparison of children and parents’ perspectives. Child and Youth Care Forum, 35(1), 21–40. https://doi.org/10.1007/s10566-005-9001-8 Bagheri, A., & Pihie, Z. A. L. (2014). The moderating role of gender in shaping entrepreneurial intentions: Implications for vocational guidance. International Journal for Educational and Vocational Guidance, 14(3), 255–273. https://doi.org/10.1007/s10775-014-9269-z Baid-Agrawal, S., Pascual, M., Moradpour, D., Somasundaram, R., & Muche, M. (2014). Hepatitis C virus infection and kidney transplantation in 2014: What’s new? American Journal of Transplantation, 14(10), 2206–2220. https://doi.org/10.1111/ajt.12835 Balaraman, P. (2018). ICT and IT initiatives in public governance- benchmarking and insights from Ethiopia. Business Ethics and Leadership, 2(1), 14–31. https://doi.org/10.21272/bel.2(1).14-31.2018 Balasubramanian, G., Lee, H., Poon, K. W., Lim, W. K., & Yong, W. K. (2017). Towards establishing design principles for balancing usability and maintaining cognitive abilities. In A. Marcus & W. Wang (Eds.), Design, user experience, and usability: Theory, methodology, and management. DUXU 2017. Lecture Notes in Computer Science (pp. 3–18). Springer. https://doi.org/10.1007/978-3-319-58634-2_1 Baldinger, A. L., & Rubinson, J. (1996). Brand loyalty: The link between attitude and behavior. Journal of Advertising Research, 36, 22–36. Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37(2), 122–147. https://doi.org/10.1037/0003-066X.37.2.122 Bell, E., & Taylor, S. (2003). The elevation of work: Pastoral power and the new age work ethic. Organization, 10(2), 329–349. https://doi.org/10.1177/1350508403010002009 Bermudez-Silva, F. J., Romero-Zerbo, S. Y., Haissaguerre, M., Ruz-Maldonado, I., Lhamyani, S., El Bekay, R., Tabarin, A., Marsicano, G., & Cota, D. (2016). The cannabinoid CB1 receptor and mTORC1 signalling pathways interact to modulate glucose homeostasis in mice. Disease Models & Mechanisms, 9(1), 51–61. https://doi.org/10.1242/dmm.020750 Bertini, E., Gabrielli, S., Kimani, S., Catarci, T., & Santucci, G. (2006). Appropriating and assessing heuristics for mobile computing. AVI ’06: Proceedings of the Working Conference on Advanced Visual Interfaces (pp. 119–126). https://doi.org/10.1145/1133265.1133291 Bertot, J. C., Jaeger, P. T., Munson, S., & Glaisyer, T. (2010). Social media technology and government transparency. Computer, 43(11), 53–59. https://doi.org/10.1109/MC.2010.325 Bilkova, R., & Kralova, A. (2017). Adoption model of m-government services. 2017 International Conference on Information and Digital Technologies (IDT), 52–55. https://doi.org/10.1109/DT.2017.8024271 Boiano, S., Bowen, J. P., & Gaia, G. (2012). Usability, design and content issues of mobile apps for cultural heritage promotion: The Malta culture guide experience. ArXiv Preprint, arXiv:1207.3422. https://doi.org/10.48550/arXiv.1207.3422 Borucki, C., Arat, S., & Kushchu, I. (2005). Mobile government and organizational effectiveness. Proceedings of the First European Conference on Mobile Government (pp. 56–66). Mobile Government Consortium International. Bravo, E. (2021, September 17). Innovation and e-governance: Which countries are at the forefront of digital government development? Tomorrow City. https://tomorrow.city/a/top-e-government-countries Brown, M. M., O’Toole Jr, L. J., & Brudney, J. L. (1998). Implementing information technology in government: An empirical assessment of the role of local partnerships. Journal of Public Administration Research and Theory, 8(4), 499–526. https://doi.org/10.1093/oxfordjournals.jpart.a024394 Cardon, P. W., & Marshall, B. A. (2008). National culture and technology acceptance: The impact of uncertainty avoidance. Issues in Information Systems, 9(2), 103–110. Carter, L., Weerakkody, V., Phillips, B., & Dwivedi, Y. K. (2016). Citizen adoption of e-government services: Exploring citizen perceptions of online services in the United States and United Kingdom. Information Systems Management, 33(2), 124–140. https://doi.org/10.1080/10580530.2016.1155948 Casey, T. W., Riseborough, K. M., & Krauss, A. D. (2015). Do you see what I see? Effects of national culture on employees’ safety-related perceptions and behavior. Accident Analysis & Prevention, 78, 173–184. https://doi.org/10.1016/j.aap.2015.03.010 Chanana, L., Agrawal, R., & Punia, D. K. (2016). Service quality parameters for mobile government services in India. Global Business Review, 17(1), 136–146. https://doi.org/10.1177/0972150915610702 Chen, L., & Aklikokou, A. K. (2020). Determinants of E-government adoption: Testing the mediating effects of perceived usefulness and perceived ease of use. International Journal of Public Administration, 43(10), 850–865. https://doi.org/10.1080/01900692.2019.1660989 Chen, Z. J., Vogel, D., & Wang, Z. H. (2016). How to satisfy citizens? Using mobile government to reengineer fair government processes. Decision Support Systems, 82, 47–57. https://doi.org/10.1016/j.dss.2015.11.005 Cheung, C., & Limayem, M. (2005). The role of habit in information systems continuance: Examining the evolving relationship between intention and usage. Proceeding of the 26th International Conference on Information Systems (pp. 471–482). http://aisel.aisnet.org/icis2005/39 Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (Vol. 295, Issue 2, pp. 295–336). Psychology Press. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Earlbaum Associates. Cohen, L., Manion, L., & Morrison, K. (2011). Research methods in education. Routledge. Creswell, C., Waite, P., & Cooper, P. J. (2014). Assessment and management of anxiety disorders in children and adolescents. Archives of Disease in Childhood, 99(7), 674–678. https://doi.org/10.1136/archdischild-2013-303768 Creswell, J. W. (2003). A framework for design. In Research design: Qualitative, quantitative, and mixed methods approaches (2nd ed.). SAGE Publication, Inc. Creswell, J. W. (2012). Educational research: Planning conducting and evaluating quantitative and qualitative research (4th ed.). Edwards Brothers Inc. Creswell, J. W., & Clark, V. L. P. (2017). Designing and conducting mixed methods research (2nd ed.). Sage Publications. Creswell, J. W., & Creswell, J. D. (2005). Mixed methods research: Developments, debates, and dilemmas. In R. A. Swanson & E. F. Holton III (Eds.), Research in organizations: Foundations and methods of inquiry (Vol. 2, pp. 315–326). Berrett-Koehler Publishers, Inc. Creswell, J. W., & Garrett, A. L. (2008). The “movement” of mixed methods research and the role of educators. South African Journal of Education, 28(3), 321–333. https://doi.org/10.15700/saje.v28n3a176 Criado, J. I., & Gil-Garcia, J. R. (2019). Creating public value through smart technologies and strategies: From digital services to artificial intelligence and beyond. International Journal of Public Sector Management, 32(5), 438–450. https://doi.org/10.1108/IJPSM-07-2019-0178 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/10.2307/249008 Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982 de Oliveira Malaquias, F. F., & da Silva Jr, R. J. (2021). The use of m-government applications: Empirical evidence from the smartest cities of Brazil. Information Technology & People, 34(4), 1357–1369. https://doi.org/10.1108/ITP-05-2020-0346 de Souza, T. R. C. B., & Bernardes, J. L. (2016). The influences of culture on user experience. In P. L. P. Rau (Ed.), Cross-cultural design. Lecture notes in computer science (Vol. 9741, pp. 43–52). Springer. https://doi.org/10.1007/978-3-319-40093-8_5 Dean, M. (1996). Putting the technological into government. History of the Uman Sciences, 9(3), 47–68. https://doi.org/10.1177/095269519600900303 Decman, M. (2018). The analysis of e-government services adoption and use in Slovenian information society between 2014 and 2017. Central European Public Administration Review, 16(2), 193–215. https://doi.org/10.17573/cepar.2018.2.10 Dhir, S., & Chakraborty, T. (2021). Does the perceived efficiency of the HR department matter in influencing satisfaction and employee performance? International Journal of Productivity and Performance Management, ahead-of-p, ahead-of-print. https://doi.org/10.1108/IJPPM-01-2021-0047 Dias, G. P. (2020). Global e-government development: Besides the relative wealth of countries, do policies matter? Transforming Government: People, Process and Policy, 14(3), 381–400. https://doi.org/10.1108/TG-12-2019-0125 Djamal, E. C., & Renaldi, F. (2017). Developing citizen centric integrated systems for local community: An approach towards M-Government application. 2017 International Conference on ICT For Smart Society (ICISS) (pp. 1–4). https://doi.org/10.1109/ICTSS.2017.8288887 Ebbers, W. E., Jansen, M. G. M., & van Deursen, A. J. (2016). Impact of the digital divide on e-government: Expanding from channel choice to channel usage. Government Information Quarterly, 33(4), 685–692. https://doi.org/10.1016/j.giq.2016.08.007 Engelbrecht, J. A. A. (2016). Automatic flight envelope recovery for large transport aircraft. Doctoral thesis, Stellenbosch University. Eom, S. J., & Kim, J. H. (2014). The adoption of public smartphone applications in Korea: Empirical analysis on maturity level and influential factors. Government Information Quarterly, 31, S26–S36. https://doi.org/10.1016/j.giq.2014.01.005 Faisal, M. N., & Talib, F. (2016). E-government to m-government: A study in a developing economy. International Journal of Mobile Communications, 14(6), 568–592. https://doi.org/10.1504/IJMC.2016.079301 Falk, R. F., & Miller, N. B. (1992). A primer for soft modeling. University of Akron Press. Fath-Allah, A., Cheikhi, L., Al-Qutaish, R. E., & Idri, A. (2014). E-government maturity models: A comparative study. International Journal of Software Engineering & Applications, 55(3), 71–91. Fedosov, V., & Paientko, T. (2019). Opportunistic government behavior: How controlling approaches in public management can prevent it. Zeszyty Teoretyczne Rachunkowosci, 104(160), 37–54. https://doi.org/10.5604/01.3001.0013.4355 Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: an introduction to theory and research. Addison-Wesley. Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research. Philosophy and Rhetoric, 10(2), 130–132. Fleischmann, C., Cardon, P. W., & Aritz, J. (2020). Smart collaboration in global virtual teams: The influence of culture on technology acceptance and communication effectiveness. Proceedings of the 53rd Hawaii International Conference on System Sciences (pp. 363–371). https://hdl.handle.net/10125/63784 Fornell, C., & Larcker, D. F. (1981a). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104 Fornell, C., & Larcker, D. F. (1981b). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382–388. https://doi.org/10.1177/002224378101800313 Fröhlich, K., Nieminen, M., & Pinomaa, A. (2020). Evaluating a citizen-centric m-government solution in practice. 2020 IST-Africa Conference (IST-Africa), 1–10. Gay, L. R., Mills, G. E., & Airasian, P. (1996). Educational research: Competencies for analysis and applications. Merrill. 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), 1–78. https://doi.org/10.17705/1CAIS.00407 Ghavifekr, S., Abd Razak, A. Z., Ghani, M. F. A., Ran, N. Y., Meixi, Y., & Tengyue, Z. (2014). ICT integration in education: Incorporation for teaching & learning improvement. Malaysian Online Journal of Educational Technology, 2(2), 24–45. Ghazal, M., Ali, S., Al Halabi, M., Ali, N., & Al Khalil, Y. (2016a). Smart mobile-based emergency management and notification system. 2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) (pp. 282–287). https://doi.org/10.1109/W-FiCloud.2016.64 Ghazal, M., Ali, S., Haneefa, F., & Sweleh, A. (2016b). Towards smart wearable real-time airport luggage tracking. 2016 International Conference on Industrial Informatics and Computer Systems (CIICS) (pp. 1–6). https://doi.org/10.1109/ICCSII.2016.7462422 Ghazal, M., Khalil, Y. Al, Haneefa, F., Mhanna, A., Awachi, D., & Ali, S. (2016c). Towards secure mobile process tracking using wearable computing in mgovernment applications. 2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) (pp. 288–294). https://doi.org/10.1109/W-FiCloud.2016.65 Ghazali, N., & Razali, R. (2014). A preliminary review of interface design elements for mobile electronic government systems. 2014 4th World Congress on Information and Communication Technologies (WICT 2014) (pp. 217–223). https://doi.org/10.1109/WICT.2014.7076908 Ghazizadeh, M., Lee, J. D., & Boyle, L. N. (2012). Extending the Technology Acceptance Model to assess automation. Cognition, Technology & Work, 14(1), 39–49. https://doi.org/10.1007/s10111-011-0194-3 Gonzalez-Holland, E., Whitmer, D., Moralez, L., & Mouloua, M. (2017). Examination of the use of Nielsen’s 10 usability heuristics & outlooks for the future. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 61, 1472–1475. https://doi.org/10.1177/1541931213601853 Goodhue, D. (1997). The model underlying the measurement of the impacts of the IIC on the end-users. Journal of the American Society for Information Science, 48(5), 449–453. https://doi.org/10.1002/(SICI)1097-4571(199705)48:5<449::AID-ASI10>3.0.CO;2-U Graham, M., Milanowski, A., & Miller, J. (2012). Measuring and promoting inter-rater agreement of teacher and principal performance ratings. Online Submission (No. ED532068). Center for Educator Compensation Reform. Green, G., Tesler, R., & Sharon, C. (2021). Perceived efficiency outcomes, sources and awareness of online health information among the elderly during COVID-19. International Journal of Environmental Research and Public Health, 18(15), 8121. https://doi.org/10.3390/ijerph18158121 Guba, E. G., & Lincoln, Y. S. (1994). Competing paradigms in qualitative research. In N. K. Denzin & Y. S. Lincoln (Eds.), Handbook of qualitative research (pp. 105–117). SAGE Publication, Inc. Gupta, U. G., & Clarke, R. E. (1996). Theory and applications of the Delphi technique: A bibliography (1975–1994). Technological Forecasting and Social Change, 53(2), 185–211. https://doi.org/10.1016/S0040-1625(96)00094-7 Habibi, A., Sarafrazi, A., & Izadyar, S. (2014). Delphi technique theoretical framework in qualitative research. The International Journal of Engineering and Science, 3(4), 8–13. Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long Range Planning, 46(1–2), 1–12. Hair Jr, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106–121. https://doi.org/10.1108/EBR-10-2013-0128 Hair Jr, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2017). Advanced issues in partial least squares structural equation modeling. Sage Publications. Hallowell, M. R., & Gambatese, J. A. (2010). Qualitative research: Application of the Delphi method to CEM research. Journal of Construction Engineering and Management, 136(1), 99–107. https://doi.org/10.1061/_ASCECO.1943-7862.0000137 Hameed, A. G., Shukur, B. S., Al-Khafaji, N. J., & Al-Farhan, H. A. (2014). Utilizing mobile applications as a channel of interaction between the citizens and the government: Design M-police in Iraq. The Third International Conference on E-Technologies and Networks for Development (ICeND2014) (pp. 1–7). https://doi.org/10.1109/ICeND.2014.6991182 Hanjaya, M., Kenny, K., & Gunawan, F. (2019). Understanding factors influencing consumers online purchase intention via mobile app: perceived ease of use, perceived usefulness, system quality, information quality, and service quality. Marketing Instytucji Naukowych i Badawczych, 2(32), 175–206. https://doi.org/10.2478/minib-2019-0026 Hansen, J. M., Saridakis, G., & Benson, V. (2018). Risk, trust, and the interaction of perceived ease of use and behavioral control in predicting consumers’ use of social media for transactions. Computers in Human Behavior, 80, 197–206. https://doi.org/10.1016/j.chb.2017.11.010 Harkness, J. A., Van de Vijver, F. J. R., & Mohler, P. P. H. (Eds.). (2003). Cross-cultural survey methods (Vol. 325). John Wiley & Sons, Inc. Hartawan, M. S., Mantra, I. G. N., & Pradnyana, I. W. W. (2019). Interpretative Analysis and Testing Statistics to test questions testing the Mobile Government questionnaire against the model of readiness and successful adoption. 2019 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS) (pp. 147–150). https://doi.org/10.1109/ICIMCIS48181. 2019.8985195 Hasson, F., & Keeney, S. (2011). Enhancing rigour in the Delphi technique research. Technological Forecasting and Social Change, 78(9), 1695–1704. https://doi.org/10.1016/j.techfore.2011.04.005 Hew, J. J. (2017). Hall of fame for mobile commerce and its applications: A bibliometric evaluation of a decade and a half (2000–2015). Telematics and Informatics, 34(1), 43–66. https://doi.org/10.1016/j.tele.2016.04.003 Hill, M., Mann, L., & Wearing, A. J. (1996). The effects of attitude, subjective norm and self-efficacy on intention to benchmark: A comparison between managers with experience and no experience in benchmarking. Journal of Organizational Behavior, 17(4), 313–327. https://doi.org/10.1002/(SICI)1099-1379(199607)17:4<313::AID-JOB753>3.0.CO;2-X Hinai, A. M. A. (2018). He is surprised to be affected every time: A citizen tells his story with the lands and appeals to housing. Atheer. Housing. (2018). About. Hung, S. Y., Chang, C. M., & Kuo, S. R. (2013). User acceptance of mobile e-government services: An empirical study. Government Information Quarterly, 30(1), 33–44. https://doi.org/10.1016/j.giq.2012.07.008 Hussain, M. (2017). M-government implementation: A comparative study between a developed and a developing country. Doctoral thesis, The University of New South Wales, Canberra, Australia. Imran, A., Quimno, V., & Hussain, M. (2016). Current landscape and potential of mobile computing research in the least developed countries. The Electronic Journal of Information Systems in Developing Countries, 74(1), 1–25. https://doi.org/10.1002/j.1681-4835.2016.tb00539.x Indarsin, T., & Ali, H. (2017). Attitude toward Using m-commerce: The analysis of perceived usefulness perceived ease of use, and perceived trust: Case study in Ikens Wholesale Trade, Jakarta–Indonesia. Saudi Journal of Business and Management Studies, 2(11), 995–1007. http://scholarsmepub.com/sjbms/ Interaction Design. (2021). Heuristic evaluation: Ten commandments for helpful expert analysis. https://www.interaction-design.org/literature/topics/heuristic-evaluation Iqbal, U., Ho, C. H., Li, Y. C. J., Nguyen, P. A., Jian, W. S., & Wen, H. C. (2013). The relationship between usage intention and adoption of electronic health records at primary care clinics. Computer Methods and Programs in Biomedicine, 112(3), 731–737. https://doi.org/10.1016/j.cmpb.2013.09.001 Isagah, T., & Wimmer, M. A. (2017). Mobile government applications: Challenges and needs for a comprehensive design approach. Proceedings of the 10th International Conference on Theory and Practice of Electronic Governance (pp. 423–432). https://doi.org/10.1145/3047273.3047305 Isagah, T., & Wimmer, M. A. (2018). Framework for designing m-government services in developing countries. Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age (pp. 1–10). https://doi.org/10.1145/3209281.3209334 Ishak, Z., Jaafar, A., & Ahmad, A. (2012). Interface design for cultural differences. Procedia-Social and Behavioral Sciences, 65, 793–801. https://doi.org/10.1016/j.sbspro.2012.11.201 Ishengoma, F., Mselle, L., & Mongi, H. (2019). Critical success factors for m-Government adoption in Tanzania: A conceptual framework. The Electronic Journal of Information Systems in Developing Countries, 85(1), e12064. https://doi.org/10.1002/isd2.12064 Islami, M. M., Asdar, M., & Baumassepe, A. N. (2021). Analysis of Perceived usefulness and perceived ease of use to the actual system usage through attitude using online guidance application: A study on the online tutoring application ruangguru in Makassar. Hasanuddin Journal of Business Strategy, 3(1), 52–64. https://doi.org/10.26487/hjbs.v3i1.410 Issakainen, P. (2021). Factors contributing to perceived efficiency of telehealth chat e-consultations. Master thesis, Aalto University School of Business. Jacob, S., & Lawarée, J. (2021). The adoption of contact tracing applications of COVID-19 by European governments. Policy Design and Practice, 4(1), 44–58. https://doi.org/10.1080/25741292.2020.1850404 Jaradat, M. I. R. M., Moustafa, A. A., & Al-Mashaqba, A. M. (2018). Exploring perceived risk, perceived trust, perceived quality and the innovative characteristics in the adoption of smart government services in Jordan. International Journal of Mobile Communications, 16(4), 399–439. Jin, H., Shen, H., Jain, M., Kumar, S., & Hong, J. I. (2021). Lean privacy review: Collecting users’ privacy concerns of data practices at a low cost. ACM Transactions on Computer-Human Interaction (TOCHI), 28(5), 1–55. https://doi.org/10.1145/3463910 Johnsen, Å., Meklin, P., Oulasvirta, L., & Vakkuri, J. (2001). Performance auditing in local government: An exploratory study of perceived efficiency of municipal value for money auditing in Finland and Norway. European Accounting Review, 10(3), 583–599. https://doi.org/10.1080/09638180126803 Joyce, G., Lilley, M., Barker, T., & Jefferies, A. (2015). Smartphone application usability evaluation: The applicability of traditional heuristics. In A. Marcus (Ed.), International conference of design, user experience, and usability (pp. 541–550). Springer. https://doi.org/10.1007/978-3-319-20898-5_52 Junglas, I. A., & Spitzmuller, C. (2005). A research model for studying privacy concerns pertaining to location-based services. Proceedings of the 38th Annual Hawaii International Conference on System Sciences (pp. 180b-180b). https://doi.org/10.1109/HICSS.2005.47 Kanaan, R. K., Abumatar, G., Al-Lozi, M., & Abu Hussein, A. M. (2019). Implementation of m-government: leveraging mobile technology to streamline the e-governance framework. Journal of Social Sciences (COES&RJ-JSS), 8(3), 495–508. https://doi.org/10.25255/jss.2019.8.3.495.508 Karahanna, E., Agarwal, R., & Angst, C. M. (2006). Reconceptualizing compatibility beliefs in technology acceptance research. MIS Quarterly, 30(4), 781–804. https://doi.org/10.2307/25148754 Kemp, S. (2021, January 27). Global Overview Report. Datareportal. https://datareportal.com/reports/digital-2021-global-overview-report Keoduangsine, S., & Goodwin, R. (2009). User satisfaction model for mobile e-government service. Proceedings of the 11th International Conference on Information Integration and Web-Based Applications & Services (pp. 609–612). https://doi.org/10.1145/1806338.1806453 Khan, M. A. (2016). Exploring the push and pull drivers in M-government framework that influence acceptance of services on mobile devices. International Journal of Computer Science and Network Security (IJCSNS), 16(2), 23–26. Kim, D., Park, K., Park, Y., & Ahn, J. H. (2019). Willingness to provide personal information: Perspective of privacy calculus in IoT services. Computers in Human Behavior, 92, 273–281. https://doi.org/10.1016/j.chb.2018.11.022 Kim, J. H., & Lee, K. P. (2005). Cultural difference and mobile phone interface design: Icon recognition according to level of abstraction. Proceedings of the 7th International Conference on Human Computer Interaction with Mobile Devices & Services (pp. 307–310). https://doi.org/10.1145/1085777.1085841 Kim, S. S., & Malhotra, N. K. (2005). Predicting system usage from intention and past use: scale issues in the predictors. Decision Sciences, 36(1), 187–196. https://doi.org/10.1111/j.1540-5915.2005.00070.x Kirkwood, I. (2019, June 11). Federal government launches App for Canadian small business owners. Betakit. https://betakit.com/federal-government-launches-app-for-canadian-small-business-owners/ Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed.). Guilford Press. Kraemer, K. L., & King, J. L. (2003). Information technology and administrative reform: Will the time after e-government be different? Heinrich Reinermann Schrift Fest. https://escholarship.org/content/qt2rd511db/qt2rd511db.pdf Kraemer, K. L., & King, J. L. (2006). Information technology and administrative reform: Will e-government be different? International Journal of Electronic Government Research (IJEGR), 2(1), 1–20. https://doi.org/10.4018/jegr.2006010101 Krejcie, R. V, & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610. https://doi.org/10.1177/001316447003000308 Kumar, B. A., & Mohite, P. (2016). Usability guideline for mobile learning apps: An empirical study. International Journal of Mobile Learning and Organisation, 10(4), 223–237. https://doi.org/10.1504/IJMLO.2016.079499 Kumar, R., Mukherjee, A., & Sachan, A. (2021). m-Government experience: A qualitative study in India. Online Information Review, ahead-of-p(ahead-of-print). https://doi.org/10.1108/OIR-10-2020-0482 Kushchu, I. (2007). Mobile government: An emerging direction in e-government. IGI Publishing. Kyem, P. A. K. (2016). Mobile phone expansion and opportunities for e-governance in Sub-Saharan Africa. The Electronic Journal of Information Systems in Developing Countries, 75(1), 1–15. https://doi.org/10.1002/j.1681-4835.2016.tb00548.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 Lam, S. P. (2006). Predicting intention to save water: Theory of planned behavior, response efficacy, vulnerability, and perceived efficiency of alternative solutions. Journal of Applied Social Psychology, 36(11), 2803–2824. https://doi.org/10.1111/j.0021-9029.2006.00129.x Lanna, L. C., & Oró, M. G. (2016). An analysis of the interaction design of the best educational apps for children aged zero to eight. Comunicar. Media Education Research Journaj, 24(1), 77–85. https://www.scipedia.com/public/Crescenzi_Grane_2016a Lee, M. C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8(3), 130–141. https://doi.org/10.1016/j.elerap.2008.11.006 Lee, S., & Cho, M. (2011). Social media use in a mobile broadband environment: Examination of determinants of Twitter and Facebook use. International Journal of Mobile Marketing, 6(2), 71–87. Lewis, J., Ritchie, J., Ormston, R., & Morrell, G. (2003). Generalising from qualitative research. In J. Ritchie, J. Lewis, C. M. Nicolls, & R. Ormston (Eds.), Qualitative research practice: A guide for social science students and researchers (pp. 347–362). Sage. Li, J., Mizerski, D., Lee, A., & Liu, F. (2009). The relationship between attitude and behavior: An empirical study in China. Asia Pacific Journal of Marketing and Logistics, 21(2), 232–242. https://doi.org/10.1108/13555850910950059 Li, Y., Yang, S., Chen, Y., & Yao, J. (2018). Effects of perceived online–offline integration and internet censorship on mobile government microblogging service continuance: A gratification perspective. Government Information Quarterly, 35(4), 588–598. https://doi.org/10.1016/j.giq.2018.07.004 Liderman, E. (2014, November 17). Why we need an ‘M-Government’ movement. Nextgov. https://www.nextgov.com/it-modernization/2014/11/forget-e-government-get-ready-m-government/99194/ Lin, F., Fofanah, S. S., & Liang, D. (2011). Assessing citizen adoption of e-Government initiatives in Gambia: A validation of the technology acceptance model in information systems success. Government Information Quarterly, 28(2), 271–279. https://doi.org/10.1016/j.giq.2010.09.004 Linstone, H. A., & Turoff, M. (Eds.). (2002). The Delphi method-techniques and applications. New Jersey Institute of Technology. https://doi.org/10.2307/3150755 Liu, Y., Li, H., Kostakos, V., Goncalves, J., Hosio, S., & Hu, F. (2014). An empirical investigation of mobile government adoption in rural China: A case study in Zhejiang province. Government Information Quarterly, 31(3), 432–442. https://doi.org/10.1016/j.giq.2014.02.008 Liu, Y., Mezei, J., Kostakos, V., & Li, H. (2017). Applying configurational analysis to IS behavioural research: A methodological alternative for modelling combinatorial complexities. Information Systems Journal, 27(1), 59–89. https://doi.org/10.1111/isj.12094 Lorenzi, D., Vaidya, J., Chun, S., Shafiq, B., & Atluri, V. (2014). Enhancing the government service experience through QR codes on mobile platforms. Government Information Quarterly, 31(1), 6–16. https://doi.org/10.1016/j.giq.2013.05.025 Lu, J. (2014). Are personal innovativeness and social influence critical to continue with mobile commerce? Internet Research, 24(2), 134–159. https://doi.org/10.1108/IntR-05-2012-0100 Lya, A., Lestari, S., Bachtiar, M., & Halil, E. (2017). The role of e-government and m-government in shaping Jakarta to be a smart city. Proceedings of the International Conference on Administrative Science, Policy and Governance Studies (ICAS-PGS 2017) and the International Conference on Business Administration and Policy (ICBAP 2017) (pp. 131–137). https://doi.org/10.2991/icaspgs-icbap-17.2017.18 Mahrouqi, Z. H. A. (2014). Planning problems. Al-Falaq Electronic Magazine. Mandari, H., & Chong, Y. L. (2018). The moderating effects of awareness on antecedents of behavioral intention to adopt mobile government services: The moderating effects of awareness. International Journal of E-Adoption (IJEA), 10(2), 50–69. https://doi.org/10.4018/IJEA.2018070104 Margetts, H. (1998). Computerising the tools of government? In I. Snellen & W. B. H. J. van de Donk (Eds.), Public administration in an information age: A handbook (pp. 441–460). IOS Press. Martin, M. (2015). Arkansas Gov2Go. https://www.nass.org/sites/default/files/AR-IDEAS-Award%281%29.pdf Mastor, K. A., Jin, P., & Cooper, M. (2000). Malay culture and personality: A Big Five perspective. American Behavioral Scientist, 44(1), 95–111. https://doi.org/10.1177/00027640021956116 Mayer-Schönberger, V., & Lazer, D. (Eds.). (2007). Governance and information technology: From electronic government to information government. MIT Press. McCoy, S., Everard, A., & Jones, B. M. (2005). An examination of the technology acceptance model in Uruguay and the US: A focus on culture. Journal of Global Information Technology Management, 8(2), 27–45. https://doi.org/10.1080/1097198X.2005.10856395 McDaniel, C., & Gates, R. (Eds.). (2006). The marketing research industry and research ethics. John Wiley & Sons. Mengistu, D., Zo, H., & Rho, J. J. (2009). M-government: Opportunities and challenges to deliver mobile government services in developing countries. 2009 Fourth International Conference on Computer Sciences and Convergence Information Technology, 1445–1450. https://doi.org/10.1109/ICCIT.2009.171 Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook. Sage Publications. Min, S., So, K. K. F., & Jeong, M. (2021). Consumer adoption of the Uber mobile application: Insights from diffusion of innovation theory and technology acceptance model. In S. S. Kim & D. Wang (Eds.), Future of tourism marketing (pp. 2–15). Routledge. Molnár, T., & Ko, A. (2020). Exploring usability and acceptance factors of m-government systems for elderly. In A. Ko, E. Francesconi, G. Kotsis, A. M. Tjoa, & I. Khalil (Eds.), International Conference on Electronic Government and the Information Systems Perspective (pp. 121–134). Springer. https://doi.org/10.1007/978-3-030-58957-8_9 Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192–222. https://doi.org/10.1287/isre.2.3.192 Moslehpour, M., Pham, V. K., Wong, W. K., & Bilgiçli, I. (2018). E-purchase intention of Taiwanese consumers: Sustainable mediation of perceived usefulness and perceived ease of use. Sustainability, 10(1), 234. https://doi.org/10.3390/su10010234 Mossey, S., Bromberg, D., & Manoharan, A. P. (2019). Harnessing the power of mobile technology to bridge the digital divide: A look at US cities’ mobile government capability. Journal of Information Technology & Politics, 16(1), 52–65. https://doi.org/10.1080/19331681.2018.1552224 Mou, J., Shin, D. H., & Cohen, J. (2017). Understanding trust and perceived usefulness in the consumer acceptance of an e-service: A longitudinal investigation. Behaviour & Information Technology, 36(2), 125–139. https://doi.org/10.1080/0144929X.2016.1203024 Moumane, K., Idri, A., & Abran, A. (2016). Usability evaluation of mobile applications using ISO 9241 and ISO 25062 standards. SpringerPlus, 5(1), 1–15. https://doi.org/10.1186/s40064-016-2171-z Mpekoa, N., & van Greunen, D. (2016). Factors affecting successful implementation of m-Voting in South Africa. 2016 International Conference on Information Society (i-Society), 57–62. https://doi.org/10.1109/i-Society.2016.7854174 Mtingwi, J. E., Mawela, T., & Leornad, A. (2018). M-Government Adoption framework for least developed countries: The case of Malawi. 2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC), 1–8. https://doi.org/10.1109/ICONIC.2018.8601213 Mutahar, A. M., Daud, N. M., Thurasamy, R., Isaac, O., & Abdulsalam, R. (2018). The mediating of perceived usefulness and perceived ease of use: the case of mobile banking in Yemen. International Journal of Technology Diffusion (IJTD), 9(2), 21–40. https://doi.org/10.4018/IJTD.2018040102 Nacheva, R. (2020). Standardization issues of mobile usability. International Journal of Interactive Mobile Technologies, 14(7), 149–157. https://doi.org/10.3991/IJIM.V14I07.12129 Naqvi, S. J., & Al-Shihi, H. (2009). M-government services initiatives in Oman. Issues in Informing Science & Information Technology, 6, 817–824. Nguyen, N. T., Wereley, S. T., & Shaegh, S. A. M. (2019). Fundamentals and applications of microfluidics. Artech House. Nguyen, T. T., Pham, H. V., Vu, P. M., & Nguyen, T. T. (2015). Recommending api usages for mobile apps with hidden markov model. 2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE), 795–800. https://doi.org/10.1109/ASE.2015.109 Nica, E., & Potcovaru, A. M. (2015). The social sustainability of the sharing economy. Economics, Management & Financial Markets, 10(4), 69–75. Nielsen, J. (1993). Iterative user-interface design. Computer, 26(11), 32–41. https://doi.org/10.1109/2.241424 Nielsen, J. (1994). Heuristic evaluation. In J. Nielsen & R. Mack (Eds.), Usability inspection methods (pp. 25–62). John Wiley & Sons. Nikou, S. A., & Economides, A. A. (2017). Mobile-based assessment: Investigating the factors that influence behavioral intention to use. Computers & Education, 109, 56–73. https://doi.org/10.1016/j.compedu.2017.02.005 Nimmolrat, A., Khuwuthyakorn, P., Wientong, P., & Thinnukoo, O. (2021). Pharmaceutical mobile application for visually-impaired people in Thailand: Development and implementation. BMC Medical Informatics and Decision Making, 21(1), 1–19. https://doi.org/10.1186/s12911-021-01573-z Noprisson, H., Husin, N., Utami, M., Rahayu, P., Sucahyo, Y. G., & Sensuse, D. I. (2016). The use of a mixed method approach to evaluate m-Government implementation. 2016 International Conference on Information Technology Systems and Innovation (ICITSI), 1–5. https://doi.org/10.1109/ICITSI.2016.7858195 Noveck, B. S. (2009). Wiki government: How technology can make government better, democracy stronger, and citizens more powerful. Brookings Institution Press. Nunnally, J. C. (1994). Psychometric theory 3E. Tata McGraw-hill Education. Nzimakwe, T. (2018). Mobile technology innovations for improved governance and enhanced service delivery in South Africa. Administratio Publica, 26(4), 115–132. Ogunleye, O. S., & van Belle, J. P. (2014). Exploring the success, failure and factors influencing m-Government implementation in developing countries. 2014 IST-Africa Conference Proceedings (pp. 1–10). https://doi.org/10.1109/ ISTAFRICA.2014.6880656 Ogunleye, O. S., & van Belle, J. P. (2016). Scalability and sustainability of M-Government projects implementation in developing countries. In Information Resources Management Association (Ed.), International business: concepts, methodologies, tools, and applications (pp. 2117–2139). IGI Global. https://doi.org/10.4018/978-1-4666-9814-7.ch097 Ohme, J. (2014). The acceptance of mobile government from a citizens’ perspective: Identifying perceived risks and perceived benefits. Mobile Media & Communication, 2(3), 298–317. https://doi.org/10.1177/20501579145336 Omaier, H. T., Alharbi, A. Z., Alotaibi, M. F., & Ibrahim, D. M. (2019). Comparative study between emergency response mobile applications. International Journal of Computer Science and Information Security (IJCSIS), 17(2), 87–91. Oman Observer. (2019, June 23). Housing Mnistry inks past to develop e-services. Observer. https://www.omanobserver.om/housing-ministry-inks-pact-to-develop-e-services Omanuna. (2018). Housing and planning. https://omanportal.gov.om/wps/portal/index/!ut/p/a1/04_Sj9CPykssy0xPLMnMz0vMAfGjzOKNDdwNDPwtPX29Q3wdDYyMw9y8LH3MjF1cTIAKIoEKDHAARwNC-sP1o8BK8JgQnJqnX5AbYaDrqKgIAFyat9A!/dl5/d5/L0lKQ SEvUUt3RS80RUkhL2Fy/ Onashoga, A., Ogunjobi, A., Ibharalu, T., & Lawal, O. (2016). A secure framework for SMS-based service delivery in m-government using a multicast encryption scheme. African Journal of Science, Technology, Innovation and Development, 8(3), 247–255. https://doi.org/10.1080/20421338.2016.1156837 Othman, M. Y. (2012). Pengajian Melayu: Ke arah memperkasakan modal insan. Jurnal Melayu, 9, 1–15. Pai, R. R., & Alathur, S. (2021). Mobile health systems affordability in India: Perspectives of stakeholders. Journal of Health Management, 23(4), 677–695. https://doi.org/10.1177/09720634211050151 Pallant, J. (2016). SPSS survival manual: A step by step guide to data analysis using IBM SPSS. Routledge. Parasuraman, S., Sam, A. T., Yee, S. W. K., Chuon, B. L. C., & Ren, L. Y. (2017). Smartphone usage and increased risk of mobile phone addiction: A concurrent study. International Journal of Pharmaceutical Investigation, 7(3), 125–131. https://doi.org/10.4103/jphi.JPHI_56_17 Pardo, T. (2000). Realizing the promise of digital government: It’s more than building a web site. Center for Technology in Government. Park, Y., & Chen, J. V. (2007). Acceptance and adoption of the innovative use of smartphone. Industrial Management & Data Systems, 107(9), 1349–1365. https://doi.org/10.1108/02635570710834009 Pihie, Z. A. L., & Bagheri, A. (2013). Self-efficacy and entrepreneurial intention: The mediation effect of self-regulation. Vocations and Learning, 6(3), 385–401. https://doi.org/10.1007/s12186-013-9101-9 Pin, T. Y. (2015). Evaluation of design guidelines: questionnaire design for evaluating children educational app. Master thesis, Universiti Tunku Abdul Rahman. Plano Clark, V. L., Huddleston-Casas, C. A., Churchill, S. L., Green, D. O., & Garrett, A. L. (2008). Mixed methods approaches in family science research. Journal of Family Issues, 29(11), 1543–1566. https://doi.org/10.1177/0192513X0831825 Popescu, G. H. (2016). Does economic growth bring about increased happiness? Journal of Self-Governance & Management Economics, 4(4), 27–33. https://doi.org/10.22381/jsme4420163 Primanda, R., Setyaning, A. N. A., Hidayat, A., & Ekasasi, S. R. (2020). The role of trust on perceived usefulness and perceived ease of use toward purchase intention among Yogyakarta’s students. INOBIS: Jurnal Inovasi Bisnis Dan Manajemen Indonesia, 3(3), 316–326. https://doi.org/10.31842/jurnalinobis. v3i3.140 Primandari, P. L., & Sholiq. (2015). Effort distribution to estimate cost in small to medium software development project with use case points. Procedia Computer Science, 77, 78–85. https://doi.org/10.1016/j.procs.2015.12.107 Prümper, J. (1993). Software-evaluation based upon ISO 9241 part 10. In T. Grechenig & M. Tscheligi (Eds.), Human computer interaction. VCHCI 1993. Lecture notes in computer science (Vol. 733, pp. 255–265). Springer. https://doi.org/10.1007/3-540-57312-7_74 Rahdan, A. (2020, February 9). Jakob Nielsen’s 10 heuristics for user interface design with practical examples. UX Collective. https://uxdesign.cc/jakob-nielsens-10-heuristics-for-user-interface-design-3fe09af5fd99 Rahmi, B., Birgoren, B., & Aktepe, A. (2018). A meta analysis of factors affecting perceived usefulness and perceived ease of use in the adoption of e-learning systems. Turkish Online Journal of Distance Education, 19(4), 4–42. https://doi.org/10.17718/tojde.471649 Rajput, T. (2020, May 1). Analyzing Instagram using Shneiderman’s “Eight Golden Rules of Interface Design.” https://triptirajput.medium.com/analyzing-instagram-using-shneidermans-eight-golden-rules-of-interface-design-7ff765a845db 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 (pp. 3356–3365). https://hdl.handle.net/10125/59771 Raza, S. A., Umer, A., & Shah, N. (2017). New determinants of ease of use and perceived usefulness for mobile banking adoption. International Journal of Electronic Customer Relationship Management, 11(1), 44–65. Reddick, C. G., & Zheng, Y. (2017). Determinants of citizens’ mobile apps future use in Chinese local governments: An analysis of survey data. Transforming Government: People, Process and Policy, 11(2), 213–235. https://doi.org/10.1108/TG-11-2016-0078 Rezaei-Moghaddam, K., & Salehi, S. (2010). Agricultural specialists’ intention toward precision agriculture technologies: Integrating innovation characteristics to technology acceptance model. African Journal of Agricultural Research, 5(11), 1191–1199. Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Simon and Schuster. Roggenkamp, K. (2004). Development modules to unleash the potential of mobile government. European Conference on E-Government (pp. 1–13). Roh, M., & Park, K. (2019). Adoption of O2O food delivery services in South Korea: The moderating role of moral obligation in meal preparation. International Journal of Information Management, 47, 262–273. https://doi.org/10.1016/j.ijinfomgt.2018.09.017 Rosenbaum, J., Zepic, R., Schreieck, M., Wiesche, M., & Krcmar, H. (2018). Barriers to mobile government adoption: An exploratory case study of an information platform for refugees in Germany. ECDG 2018 18th European Conference on Digi (pp. 198–205). Rowe, G., & Wright, G. (2011). The Delphi technique: Past, present, and future prospects — Introduction to the special issue. Technological Forecasting and Social Change, 78(9), 1487–1490. https://doi.org/10.1016/j.techfore.2011.09. 002 Rubin, A. M. (1995). Propagation of magma-filled cracks. Annual Review of Earth and Planetary Sciences, 23, 287–336. Saadi, M. R., Ahmad, S. Z., & Hussain, M. (2017). Prioritization of citizens’ preferences for using mobile government services: the analytic hierarchy process (AHP) approach. Transforming Government: People, Process and Policy, 11(3), 476–503. https://doi.org/10.1108/TG-04-2017-0020 Sandoval-Almazán, R., & Romero, Y. R. (2014). The case of the Mexican mobile government: Measurement and examples. In Z. Mahmood (Ed.), Emerging mobile and web 2.0 technologies for connected e-government (pp. 203–229). IGI Global. https://doi.org/10.4018/978-1-4666-6082-3.ch009 Santhanamery, T., & Ramayah, T. (2018). Trust in the system: The mediating effect of perceived usefulness of the e-filing system. In S. Saeed, T. Ramayah, & Z. Mahmood (Eds.), User centric e-government: Challenges and opportunities (pp. 89–103). Springer. https://doi.org/10.1007/978-3-319-59442-2_5 Santoso, H. B., & Schrepp, M. (2019). The impact of culture and product on the subjective importance of user experience aspects. Heliyon, 5(9), e02434. https://doi.org/10.1016/j.heliyon.2019.e02434 Sareen, M., Punia, D. K., & Chanana, L. (2013). Exploring factors affecting use of mobile government services in India. Problems and Perspectives in Management, 11(4), 86–93. Saunders, M., Lewis, P., & Thornhill, A. (2016). Research methods for business students (7th ed.). Pearson Education. Saxena, S. (2017). Enhancing ICT infrastructure in public services: Factors influencing mobile government (m-government) adoption in India. The Bottom Line, 30(4), 279–296. https://doi.org/10.1108/BL-08-2017-0017 Saxena, S. (2018). Role of “perceived risks” in adopting mobile government (m-government) services in India. Foresight, 2(2), 190–205. https://doi.org/10.1108/FS-08-2017-0040 Schaupp, L. C., & Carter, L. (2005). E-voting: From apathy to adoption. Journal of Enterprise Information Management, 18(4), 586–601. https://doi.org/10.1108/17410390510624025 Schmidthuber, L., Maresch, D., & Ginner, M. (2020). Disruptive technologies and abundance in the service sector-toward a refined technology acceptance model. Technological Forecasting and Social Change, 155, 119328. https://doi.org/10.1016/j.techfore.2018.06.017 Sekaran, U., & Bougie, R. (2003). Research methods for business: A skill building approach. John Wiley & Sons. Sekaran, U., & Bougie, R. (2013). Research methods for business: A skill building approach (6th ed.). Wiley Publishers. Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach (7th ed.). John Wiley and Sons. Serra, L. C., Carvalho, L. P., Ferreira, L. P., Vaz, J. B. S., & Freire, A. P. (2015). Accessibility evaluation of e-government mobile applications in Brazil. Procedia Computer Science, 67, 348–357. https://doi.org/10.1016/j.procs.2015.09.279 Shafie, S. (2007). E-government initiatives in Malaysia and the role of the National Archives of Malaysia in digital records management. National Archives of Malaysia. Shahzad, F., Ahmad, Z., Hassan, N. M., & Rafiq, M. (2021). A Two-Staged SEM-Neural Network Approach for Predicting the Determinants of Mobile Government Service Quality. International Journal of Creativity Innovation and Change, 15(9), 159–185. Shahzad, F., Xiu, G., Khan, I., & Wang, J. (2019). m-Government security response system: Predicting citizens’ adoption behavior. International Journal of Human–Computer Interaction, 35(10), 899–915. https://doi.org/10.1080/10447318.2018.1516844 Shahzad, F., Xiu, G., Khan, M. A. S., & Shahbaz, M. (2020). Predicting the adoption of a mobile government security response system from the user’s perspective: An application of the artificial neural network approach. Technology in Society, 62, 101278. https://doi.org/10.1016/j.techsoc.2020.101278 Shakya, S. (2017). The challenges of e-governance implementation in Nepal. Master thesis, School of Information Technologies, Tallinn University of Technology. Shareef, M. A., Dwivedi, Y. K., Laumer, S., & Archer, N. (2016a). Citizens’ adoption behavior of mobile government (mGov): A cross-cultural study. Information Systems Management, 33(3), 268–283. https://doi.org/10.1080/10580530.2016. 1188573 Shareef, M. A., Kumar, V., Dwivedi, Y. K., & Kumar, U. (2016b). Service delivery through mobile-government (mGov): Driving factors and cultural impacts. Information Systems Frontiers, 18(2), 315–332. https://doi.org/10.1007/s10796 -014-9533-2 Shareef, S., & Khan, M. N. A. (2019). Evaluation of usability dimensions of smartphone applications. International Journal of Advanced Computer Science and Applications, 10(9), 426–431. https://doi.org/10.14569/ijacsa.2019. 0100956 Sharma, S. K., Al-Badi, A., Rana, N. P., & Al-Azizi, L. (2018). Mobile applications in government services (mG-App) from user’s perspectives: A predictive modelling approach. Government Information Quarterly, 35(4), 557–568. https://doi.org/10.1016/j.giq.2018.07.002 Shatat, A. (2017). Factors affecting the adoption and usage of online services in Oman. Journal of Internet Banking and Commerce, 22(S7), 1–24. Shiau, S. J. H., Huang, C. Y., Yang, C. L., & Juang, J. N. (2018). A derivation of factors influencing the innovation diffusion of the OpenStreetMap in STEM education. Sustainability, 10(10), 3447. https://doi.org/10.3390/su10103447 Shneiderman, B. (1998). Designing the use interface: Strategies for effective human-computer interaction (3rd ed.). Addison-Wesley. Shrigley, R. L. (1990). Attitude and behavior are correlates. Journal of Research in Science Teaching, 27(2), 97–113. https://doi.org/10.1002/tea.3660270203 Shrivastava, P., Jauhari, S., & Maheshwari, D. (2014). m-Governance: Challenges and prospects. International Journal of Innovative Research and Development, 3(12), 183–185. http://52.172.159.94/index.php/ijird_ojs/article/view/135302/ 94427 Shuib, L., Yadegaridehkordi, E., & Ainin, S. (2019). Malaysian urban poor adoption of e-government applications and their satisfaction. Cogent Social Sciences, 5(1), 1565293. https://doi.org/10.1080/23311886.2019.1565293 Silver, L. (2019). Smartphone ownership is growing rapidly around the world, but not always equally. Pew Research Center’s Global Attitudes Project. United States of America. Snellen, I., & Thaens, M. (2008). From e-government to m-government: Towards a new paradigm in public administration. In Administrative innovation, international context and growth (pp. 1–33). Formez, Gianni Research. Song, G. (2005). Transcending e-government: A case of mobile government in Beijing. The First European Conference on Mobile Government, 1–9. Sourani, A., & Sohail, M. (2015). The Delphi method: Review and use in construction management research. International Journal of Construction Education and Research, 11(1), 54–76. https://doi.org/10.1080/15578771.2014.917132 Srite, M., & Karahanna, E. (2006). The role of espoused national cultural values in technology acceptance. MIS Quarterly, 30(3), 679–704. https://doi.org/10.2307/25148745 Stemler, S. E. (2004). A comparison of consensus, consistency, and measurement approaches to estimating interrater reliability. Practical Assessment, Research, and Evaluation, 9(4), 1–11. https://doi.org/10.7275/96jp-xz07 Steves, J. P. (1992). Applied multivariate statistics for the social science (2nd ed.). Lawrence Erlbaum Associates, Inc. Sukarna, H. N. (2015). An evaluation of mobile-government websites in Indonesia. Jurnal Penelitian Dan Pengembangan Komunikasi Dan Informatika, 6(2), 49–68. Suleman, D., Zuniarti, I., Sabil, Setyaningsih, E. D., Yanti, V. A., Susilowati, I. H., Sari, I., Marwansyah, S., Hadi, S. S., & Lestiningsih, A. S. (2019). Decision model based on technology acceptance model (TAM) for online shop consumers in Indonesia. Academy of Marketing Studies Journal, 23(4), 1–14. Sultana, M. S. T. R., Ahlan, A. R., & Habibullah, M. D. (2016). A comprehensive adoption model of m-government services among citizens in developing countries. Journal of Theoretical & Applied Information Technology, 90(1), 49–60. Sun, J., & Chi, T. (2018). Key factors influencing the adoption of apparel mobile commerce: an empirical study of Chinese consumers. The Journal of the Textile Institute, 109(6), 785–797. https://doi.org/10.1080/00405000.2017.1371828 Sunny, S., Patrick, L., & Rob, L. (2019). Impact of cultural values on technology acceptance and technology readiness. International Journal of Hospitality Management, 77, 89–96. https://doi.org/10.1016/j.ijhm.2018.06.017 Supriadi, O. A. (2019). User interface design of mobile-based commerce. IOP Conference Series: Materials Science and Engineering, 662(2), 022047. https://doi.org/10.1088/1757-899X/662/2/022047 Swaid, S. (2017). Usability of mobile apps: An integrated approach. International Journal of Computer Science, 2012, 11–16. Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics: Pearson new international edition (6th ed.). Pearson. Talukder, M. S., Chiong, R., Corbitt, B., & Bao, Y. (2022). Critical factors influencing the intention to adopt m-government services by the elderly. In Research anthology on supporting healthy aging in a digital society (pp. 1028–1050). IGI Global. https://doi.org/10.4018/978-1-6684-5295-0.ch056 Talukder, M. S., Chiong, R., Dhakal, S., Sorwar, G., & Bao, Y. (2019). A two-stage structural equation modeling-neural network approach for understanding and predicting the determinants of m-government service adoption. Journal of Systems and Information Technology, 21(4), 419–438. https://doi.org/10.1108/JSIT-10-2017-0096 Tan, M. L., Prasanna, R., Stock, K., Doyle, E. E. H., Leonard, G., & Johnston, D. (2020). Understanding end-users’ perspectives: Towards developing usability guidelines for disaster apps. Progress in Disaster Science, 7, 100118. https://doi.org/10.1016/j.pdisas.2020.100118 Tarkkonen, L., & Vehkalahti, K. (2005). Measurement errors in multivariate measurement scales. Journal of Multivariate Analysis, 96(1), 172–189. https://doi.org/10.1016/j.jmva.2004.09.007 Tavakoli, N. (2020). Cultural heritage and user interface design. Master thesis, Louisiana State University and Agricultural & Mechanical College. Te’eni, D., & Sani-Kuperberg, Z. (2005). Levels of abstraction in designs of human–computer interaction: The case of e-mail. Computers in Human Behavior, 21(5), 817–830. https://doi.org/10.1016/j.chb.2004.02.028 The National Centre for Statistics and Information. (2020). Statistics. https://www.ncsi.gov.om/Pages/AllIndicators.aspx Thylefors, I., Persson, O., & Hellström, D. (2005). Team types, perceived efficiency and team climate in Swedish cross-professional teamwork. Journal of Interprofessional Care, 19(2), 102–114. https://doi.org/10.1080/13561820400024159 Tornatzky, L. G., & Klein, K. J. (1982). Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings. IEEE Transactions on Engineering Management, 1, 28–45. https://doi.org/10.1109/TEM.1982. 6447463 Tran, C. (2018). Social media and public sector transparency. Master project, California State University, Northridge. Treeratanapon, T. (2012). Design of the usability measurement framework for mobile applications. CCIT’2012: International Conference on Computer and Information Technology (pp. 16–17). Tubaishat, A. (2018). Perceived usefulness and perceived ease of use of electronic health records among nurses: Application of Technology Acceptance Model. Informatics for Health and Social Care, 43(4), 379–389. https://doi.org/10.1080/17538157.2017.1363761 Urbach, N., & Ahlemann, F. (2010). Structural equation modeling in information systems research using partial least squares. Journal of Information Technology Theory and Application (JITTA), 11(2), 5–40. Van Der Heijden, H., Verhagen, T., & Creemers, M. (2001). Predicting online purchase behavior: replications and tests of competing models. Proceedings of the 34th Annual Hawaii International Conference on System Sciences (pp. 1–10). https://doi.org/10.1109/HICSS.2001.927100 Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342–365. https://doi.org/10.1287/isre.11.4.342.11872 Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315. https://doi.org/10.1111/j.1540-5915.2008.00192.x Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926 Venkatesh, V., Thong, J. Y., & Xu, X. (2016). Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the Association for Information Systems, 17(5), 328–376. https://ssrn.com/abstract=2800121 Ventre, I., & Kolbe, D. (2020). The impact of perceived usefulness of online reviews, trust and perceived risk on online purchase intention in emerging markets: A Mexican perspective. Journal of International Consumer Marketing, 32(4), 287–299. https://doi.org/10.1080/08961530.2020.1712293 Vikan, A., Dias, M., & Nordvik, H. (2009). Perceived efficiency and use of strategies for emotion regulation. Psychological Reports, 104(2), 455–467. https://doi.org/10.2466/PR0.104.2.455-467 Walravens, N. (2015a). A business model approach to local mGovernment applications: Mapping the Brussels Region’s mobile app initiatives. 2015 12th International Joint Conference on E-Business and Telecommunications (ICETE), 2, 113–124. Walravens, N. (2015b). Mobile city applications for Brussels citizens: Smart City trends, challenges and a reality check. Telematics and Informatics, 32(2), 282–299. https://doi.org/10.1016/j.tele.2014.09.004 Wang, C. (2014). Antecedents and consequences of perceived value in Mobile Government continuance use: An empirical research in China. Computers in Human Behavior, 34, 140–147. https://doi.org/10.1016/j.chb.2014.01.034 Wang, C., Teo, T. S. H., & Liu, L. (2020). Perceived value and continuance intention in mobile government service in China. Telematics and Informatics, 48, 101348. https://doi.org/10.1016/j.tele.2020.101348 Watson, A. H. A., Suwamaru, J. K., Mow, I. C., & Logan, S. (2017). Mobile technology in Pacific Island Countries: The potential for m-government. In R. Cullen & G. Hassall (Eds.), Achieving sustainable e-government in Pacific Island States (pp. 117–137). Springer. https://doi.org/10.1007/978-3-319-50972-3_5 West, D. M. (2008). Improving technology utilization in electronic government around the world. Brookings Institution, Governance Studies. Whitelaw, S., Mamas, M. A., Topol, E., & Van Spall, H. G. C. (2020). Applications of digital technology in COVID-19 pandemic planning and response. The Lancet Digital Health, 2(8), e435–e440. https://doi.org/10.1016/S2589-7500(20)30142-4 Wirtz, B. W., Birkmeyer, S., & Langer, P. F. (2018). Citizens and mobile government: An empirical analysis of the antecedents and consequences of mobile government usage. International Review of Administrative Sciences, 87(4), 836–854. https://doi.org/10.1177/0020852319862349 Wong, E. (2019). Shneiderman’s eight golden rules will help you design better interfaces. UX Courses. https://www.interaction-design.org/literature/article/shneiderman-s-eight-golden-rules-will-help-you-design-better-interfaces Wood, O. (2020, September 18). The importance of local culture in e-commerce user interface design. https://k2partnering.com/k2-blog/the-importance-of-local-culture-in-e-commerce-user-interface-design/ Xinyuan, C. (2005). Culture-based user interface design. In N. Guimarães & P. T. Isaías (Eds.), Proceedings of IADIS International Conference on Applied Computing (pp. 127–132). IADIS Press. Yang, S., Jiang, H., Yao, J., Chen, Y., & Wei, J. (2018). Perceived values on mobile GMS continuance: A perspective from perceived integration and interactivity. Computers in Human Behavior, 89, 16–26. https://doi.org/10.1016/j.chb.2018.07.032 Yang, S., & Zeng, X. (2018). Sustainability of government social media: A multi-analytic approach to predict citizens’ mobile government microblog continuance. Sustainability, 10(12), 4849. https://doi.org/10.3390/su10124849 Young, P. A. (2008). Integrating culture in the design of ICTs. British Journal of Educational Technology, 39(1), 6–17. https://doi.org/10.1111/j.1467-8535.2007.00700.x Yousuf, M. I. (2007). Using expertsopinions through Delphi technique. Practical Assessment, Research, and Evaluation, 12(1), 1–9. https://doi.org/10.7275/rrph-t210 Yu, C. S. (2012). Factors affecting individuals to adopt mobile banking: Empirical evidence from the UTAUT model. Journal of Electronic Commerce Research, 13(2), 104–121. Zamzami, I., & Mahmud, M. (2012). Mobile interface for m-Government services: A framework for information quality evaluation. International Journal of Scientific & Engineering Research, 3(8), 1–5. Zheng, Y., & Ma, L. (2021). How citizen demand affects the process of m-government adoption: An empirical study in China. Electronic Commerce Research, 1–27. https://doi.org/10.1007/s10660-021-09470-3 Zhu, D. H., & Chang, Y. P. (2014). Investigating consumer attitude and intention toward free trials of technology-based services. Computers in Human Behavior, 30, 328–334. https://doi.org/10.1016/j.chb.2013.09.008 Zhu, D. S., Lin, T. C. Te, & Hsu, Y. C. (2012). Using the technology acceptance model to evaluate user attitude and intention of use for online games. Total Quality Management & Business Excellence, 23(7–8), 965–980. https://doi.org/10.1080/14783363.2012.704269 Zikmund, W. G. (2003). Business research methods (7th ed.). Thomson South Western.
|
This material may be protected under Copyright Act which governs the making of photocopies or reproductions of copyrighted materials. You may use the digitized material for private study, scholarship, or research. |