PERTANIKA JOURNAL OF TROPICAL AGRICULTURAL SCIENCE

J

• Agangiba, M., & Kabanda, S. (2016). E-government accessibility research trends in developing countries. In 10th Mediterranean Conference on Information Systems (MCIS) 2016 Proceedings. AIS eLibrary.

• Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl, & J. Beckmann, (Eds.), Action Control: From Cognition to Behavior (pp. 11-39). Springer. https://doi.org/10.1007/978-3-642-69746-3_2

• 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

• Alawadhi, N., Al-Shaikhli, I., Alkandari, A., & Chab, S. K. (2021). Business owners’ feedback toward adoption of open data: A case study in Kuwait. Journal of Electrical and Computer Engineering, 2021, Article 6692410. https://doi.org/10.1155/2021/6692410

• AlAwadhi, S., & Morris, A. (2008). The use of the UTAUT model in the adoption of E-government services in Kuwait. In Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008) (pp. 219-219). IEEE Publishing. https://doi.org/10.1109/HICSS.2008.452

• 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

• Alomari, M., Woods, P., & Sandhu, K. (2012). Predictors for e-government adoption in Jordan: Deployment of an empirical evaluation based on a citizen-centric approach. Information Technology & People, 25(2), 207-234. https://doi.org/10.1108/09593841211232712

• Alshare, K. A., & Lane, P. L. (2011). Predicting student-perceived learning outcomes and satisfaction in ERP courses: An empirical investigation. Communications of the Association for Information Systems, 28, 571-584. https://doi.org/10.17705/1CAIS.02834

• Altin, M., & Yilmaz, R. (2021). Adoption of cloud-based accounting practices in Turkey: An empirical study. International Journal of Public Administration, 45(11), 819-833. https://doi.org/10.1080/01900692.2021.1894576

• Asmi, F., Zhou, R., & Wu, M. (2016). Measuring e-readiness among non-users of internet banking in Pakistan: By TAM with CRM as external factor. European Journal of Business and Management, 8(29), 131-143.

• Avazov, S., & Lee, S. (2020). E-government adoption in Uzbekistan: Empirical validation of the unified model of electronic government acceptance (UMEGA). In The 21st Annual International Conference on Digital Government Research (pp. 338-339). ACM Publishing. https://doi.org/10.1145/3396956.3397008

• Bhuasiri, W., Zo, H., Lee, H., & Ciganek, A. P. (2016). User acceptance of e-government services: Examining an e-tax filing and payment system in Thailand. Information Technology for Development, 22(4), 672-695. https://doi.org/10.1080/02681102.2016.1173001

• Billanes, J., & Enevoldsen, P. (2021). A critical analysis of ten influential factors to energy technology acceptance and adoption. Energy Reports, 7, 6899-6907. https://doi.org/10.1016/j.egyr.2021.09.118

• Borenstein, M. (2009). Effect sizes for continuous data. In H. Cooper, L. V. Hedges, & J. C. Valentine (Eds.), The Handbook of Research Synthesis and Meta-Analysis (2nd ed.) (pp. 221-235). Russell Sage Foundation.

• Bowman, N. A. (2012). Effect sizes and statistical methods for meta-analysis in higher education. Research in Higher Education, 53, 375-382. https://doi.org/10.1007/s11162-011-9232-5

• Bugembe, J. (2010). Perceived usefulness, perceived ease of use, attitude and actual usage of anew financial management system: A case of Uganda National Examinations Board [Masters’ Thesis]. Makerere University, Uganda. http://hdl.handle.net/10570/2806

• Burhanudddin, B., Badruddin, S., & Yapid, B. M. (2019). Determinants of citizen’s intention to use online e-government services: A validation of UMEGA model. Polish Journal of Management Studies, 20(1), 119-128. http://dx.doi.org/10.17512/pjms.2019.20.1.10

• Carter, L., & Schaupp, L. C. (1 C.E.). Relating acceptance and optimism to e-file adoption. International Journal of Electronic Government Research, 5(3), 62-74. https://doi.org/10.4018/JEGR.2009070105

• Cohen, A. (1983). Comparing regression coefficients across subsamples: A study of the statistical test. Sociological Methods & Research, 12(1), 77-94. https://doi.org/10.1177/0049124183012001003

• Compeau, D., Higgins, C. A., & Huff, S. (1999). Social cognitive theory and individual reactions to computing technology: A longitudinal study. MIS Quarterly, 23(2), 145-158. https://doi.org/10.2307/249749

• Cooper, R., Kuh, D., Hardy, R., & Group, M. R. (2010). Objectively measured physical capability levels and mortality: systematic review and meta-analysis. BMJ, 341, Article c4467. https://doi.org/10.1136/bmj.c4467

• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-339. https://doi.org/10.2307/249008

• Demirdoven, B., Cubuk, E. B. S., & Karkin, N. (2020). Establishing relational trust in e-Participation: a systematic literature review to propose a model. In Proceedings of the 13th International Conference on Theory and Practice of Electronic Governance (ICEGOV 2020) (pp. 341-348). ACM Publishing. http://dx.doi.org/10.1145/3428502.3428549

• Dixon-Woods, M. (2010). Systematic reviews and qualitative methods. In D. Silverman (Ed.), Qualitative Research: Theory, Method and Practice (3rd ed.) (pp. 331-346). Sage.

• Duval, S., & Tweedie, R. (2000). A nonparametric “trim and fill” method of accounting for publication bias in meta-analysis. Journal of the American Statistical Association, 95(449), 89-98. https://doi.org/10.1080/01621459.2000.10473905

• 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

• Dwivedi, Y. K., Weerakkody, V., & Janssen, M. (2012). Moving towards maturity. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 42(4), 11-22. https://doi.org/10.1145/2096140.2096142

• Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. BMJ, 315(7109), 629-634. https://doi.org/10.1136/bmj.315.7109.629

• Field, A. P. (2003). Can meta-analysis be trusted? The Psychologist, 16(12), 642-645.

• Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Addison-Wesley Reading.

• Hak, T., Van Rhee, H. J., & Suurmond, R. (2016). How to Interpret Results of Meta-Analysis. Erasmus Rotterdam Institute of Management. http://dx.doi.org/10.2139/ssrn.3241367

• Higgins, J. P. T., Thomas, J., Chandler, J., Cumpston, M., Li, T., Page, M. J., & Welch, V. A. (Eds.). (2019). Cochrane Handbook for Systematic Reviews of Interventions (2nd ed.). John Wiley & Sons. https://doi.org/10.1002/9781119536604

• Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003). Measuring inconsistency in meta-analyses. BMJ, 327(7414), 557-560. https://doi.org/10.1136/bmj.327.7414.557

• Ibrahim, O. A., & Zakaria, N. H. (2016). E-government services in developing countries: A success adoption model from employees perspective. Journal of Theoretical & Applied Information Technology, 94(2), 383-396. http://www.jatit.org/volumes/Vol94No2/14Vol94No2.pdf

• Ismailova, R., & Muhametjanova, G. (2018). Determinants of intention to use government web sites in Kyrgyz Republic. International Journal of eBusiness and eGovernment Studies, 10(2), 30-45. https://dergipark.org.tr/en/pub/ijebeg/issue/43700/536108

• Khayati, S., & Zouaoui, S. K. (2013). Perceived usefulness and use of information technology: The moderating influences of the dependence of a subcontractor towards his contractor. Journal of Knowledge Management, Economics and Information Technology, 3(6), 1-28.

• Khurshid, M. M., Zakaria, N. H., Rashid, A., Ahmed, Y. A., & Shafique, M. N. (2019). Adoption of transactional service in electronic government - A case of pak-identity service. In I. O. Pappas, P. Mikalef, Y. K. Dwivedi, L. Jaccheri, J. Krogstie, & M. Mantymaki (Eds.), Digital Transformation for a Sustainable Society in the 21st Century (13E 2019) (pp. 439-450). Springer. https://doi.org/10.1007/978-3-030-29374-1_36

• King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information & Management, 43(6), 740-755. https://doi.org/10.1016/j.im.2006.05.003

• Kitchenham, B. (2004). Procedures for performing systematic reviews (Technical Report 0400011T.1, pp. 1-28). Kitchenham. https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=29890a936639862f45cb9a987dd599dce9759bf5

• Komba, M. M., & Ngulube, P. (2015). An empirical application of the DeLone and McLean model to examine factors for e-government adoption in the selected districts of Tanzania. In I. S. Sodhi (Ed.), Emerging Issues and Prospects in African E-Government (pp. 118-129). IGI Global.

• Kurfalı, M., Arifoğlu, A., Tokdemir, G., & Paçin, Y. (2017). Adoption of e-government services in Turkey. Computers in Human Behavior, 66, 168-178. https://doi.org/10.1016/j.chb.2016.09.041

• 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

• Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009). The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. Annals of Internal Medicine, 151(4), 65-94.

• Li, D., Lai, F., & Wang, J. (2010). E-business assimilation in China’s international trade firms: the technology-organization-environment framework. Journal of Global Information Management (JGIM), 18(1), 39-65.

• Lu, N. L., & Nguyen, V. T. (2016). Online tax filing - e-government service adoption case of Vietnam. Modern Economy, 7, 1498-1504. http://dx.doi.org/10.4236/me.2016.712135

• Mensah, I. K., Zeng, G., & Luo, C. (2020). E-government services adoption: An extension of the unified model of electronic government adoption. SAGE Open, 1-17. https://doi.org/10.1177/2158244020933593

• Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Research Methods & Reporting, 1-8. https://doi.org/10.1136/bmj.b2535

• Motohashi, K., Lee, D. R., Sawng, Y. W., & Kim, S. H. (2012). Innovative converged service and its adoption, use and diffusion: A holistic approach to diffusion of innovations, combining adoption-diffusion and use-diffusion paradigms. Journal of Business Economics and Management, 13(2), 308-333. https://doi.org/10.3846/16111699.2011.620147

• Nofal, M. I., Al-Adwan, A. S., Yaseen, H., & Alsheikh, G. A. A. (2021). Factors for extending e-government adoption in Jordan. Periodicals of Engineering and Natural Sciences, 9(2), 471-490. http://dx.doi.org/10.21533/pen.v9i2.1824

• Petticrew, M. (2001). Systematic reviews from astronomy to zoology: Myths and misconceptions. BMJ, 322, 98-101. https://doi.org/10.1136/bmj.322.7278.98

• Pynoo, B., Devolder, P., Tondeur, J., van Braak, J., Duyck, W., & Duyck, P. (2011). University students’ acceptance of a web-based course management system. In T. Teo (Ed.), Technology Acceptance in Education (pp. 123-143). Sense Publishers. https://doi.org/10.1007/978-94-6091-487-4_7

• Rai, S. K., Ramamritham, K., & Jana, A. (2020). Identifying factors affecting the acceptance of government to government system in developing nations - empirical evidence from Nepal. Transforming Government: People, Process and Policy, 14(2), 283-303. https://doi.org/10.1108/TG-05-2019-0035

• Rodrigues, G., Sarabdeen, J., & Balasubramanian, S. (2016). Factors that influence consumer adoption of e-government services in the UAE: A UTAUT model perspective. Journal of Internet Commerce, 15(1), 18-39. https://doi.org/10.1080/15332861.2015.1121460

• Rogers, E. M. (2003). Diffusion of Innovations. Free Press.

• Rokhman, A. (2011). e-Government adoption in developing countries: The case of Indonesia. Journal of Emerging Trends in Computing and Information Sciences, 2(5), 228-236.

• Salahuddin, L., & Ismail, Z. (2015). Classification of antecedents towards safety use of health information technology: A systematic review. International Journal of Medical Informatics, 84(11), 877-891. https://doi.org/10.1016/j.ijmedinf.2015.07.004

• Schaupp, L. C., Carter, L., & McBride, M. E. (2010). E-file adoption: A study of U.S. taxpayers’ intentions. Computers in Human Behavior, 26(4), 636-644. https://doi.org/10.1016/J.CHB.2009.12.017

• Slade, E. L., Dwivedi, Y. K., Piercy, N. C., & Williams, M. D. (2015). Modeling consumers’ adoption intentions of remote mobile payments in the United Kingdom: extending UTAUT with innovativeness, risk, and trust. Psychology /& Marketing, 32(8), 860-873. https://doi.org/10.1002/mar.20823

• Soufiane, B. M., & Ibrahim, M. (2018). Factors affecting the adoption of electronic government in Algeria: A proposed framework. Journal of Advanced Research in Business and Management Studies, 10(1), 52-64. https://www.akademiabaru.com/submit/index.php/arbms/article/view/1286

• Sterne, J. A. C., Sutton, A. J., Ioannidis, J. P. A., Terrin, N., Jones, D. R., Lau, J., Carpenter, J., Rücker, G., Harbord, R. M., Schmid, C. H., & others. (2011). Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials. BMJ, 343, Article d4002. https://doi.org/10.1136/bmj.d4002

• Šumak, B., & Šorgo, A. (2016). The acceptance and use of interactive whiteboards among teachers: Differences in UTAUT determinants between pre-and post-adopters. Computers in Human Behavior, 64, 602-620. https://doi.org/10.1016/j.chb.2016.07.037

• Susanto, T. D., & Goodwin, R. (2013). User acceptance of SMS-based e-government services: Differences between adopters and non-adopters. Government Information Quarterly, 30(4), 486-497. https://doi.org/10.1016/j.giq.2013.05.010

• Syaifuddin, M., Nurmandi, A., & Salahudin. (2022). The Behavior Patterns of the Yogyakarta Special Region Government Official in Reacting to e-Government Transformation. In X. S. Yang, S. Sherratt, N. Dey, & A. Joshi (Eds.), Proceedings of Sixth International Congress on Information and Communication Technology (pp. 249-259). Springer. https://doi.org/10.1007/978-981-16-2102-4_23

• Taylor, S., & Todd, P. (1995). Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions. International Journal of Research in Marketing, 12(2), 137-155. https://doi.org/10.1016/0167-8116(94)00019-K

• UNDP. (2022, September 20). Country insights. Human Development Reports. https://hdr.undp.org/data-center/country-insights#/ranks

• 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

• Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157-178.

• Venkatesh, V., Thong, J. Y. L., & 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://doi.org/10.17705/1jais.00428

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

• Yang, H. D., & Yoo, Y. (2004). It’s all about attitude: Revisiting the technology acceptance model. Decision Support Systems, 38(1), 19-31. https://doi.org/10.1016/S0167-9236(03)00062-9

• Zahid, H., & Din, B. H. (2019). Determinants of intention to adopt e-government services in Pakistan: An imperative for sustainable development. Resources, 8(3), Article 128. https://doi.org/10.3390/resources8030128

• Zubaidah, E., Nurmandi, A., Pribadi, U., & Hidyati, M. (2021). Taxpayer behavior in using e-vehicle in Indonesia. Asia Pacific Journal of Information Systems, 31(3), 378-391. https://doi.org/10.14329/apjis.2021.31.3.378