A New Method for Open Government using of Information Technology

Document Type : Original Article

Authors

1 Department of Information Technology, Faculty of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran

2 Science and Research Branch, Islamic Azad University, Tehran, Iran

Abstract

The purpose of this paper is to explore dimensions of open government in tax affairs organization of Iran country as a governmental organization. Three main factors of policy, culture, and technology were identified after investigating open government's plan in the United States of America, Austria, Mexico countries and the conducted interviews with experts in three fields of information technology, Executive, and legal. Four subfactors of internal directive, legal, strategic planning, and performance for policy and five subfactors of security, tools, open government program, data, and infrastructure for technology and six sub-factors of employees readiness, communicational channels, knowledge management, changes management, agency stakeholders, and participatory activities were considered for culture. A structured interview was conducted with three experts in legal, information technology and administrative fields for initial evaluation and finding new factors. The statistical population in this research was considered among Tax Affairs Organization of Iran country's employees. The mentioned pattern was evaluated based on partial least squares approach and confirmed at strong level after extracting information from the distributed questionnaires. Three factors of policy, technology and culture have effect on open government and between them culture has the main priority.

Keywords

Main Subjects

References

  1. Al-Louzi, B., Iss, B.J.J.o.C. and Computer, "Factors influencing customer acceptance of m-commerce services in jordan", Jordan. Journal of Communication and Computer, Vol. 9, No. 1, (2011), 1424-1436.
  2. Al-Shihi, H., Sharma, S.K., Sarrab, M.J.E. and Technologies, I., "Neural network approach to predict mobile learning acceptance", Vol. 23, No. 5, (2018), 1805-1824, doi: 10.1007/s10639-018-9691-9
  3. Alalwan, A.A., Baabdullah, A.M., Rana, N.P., Tamilmani, K. and Dwivedi, Y.K.J.T.i.S., "Examining adoption of mobile internet in saudi arabia: Extending tam with perceived enjoyment, innovativeness and trust", Vol. 55, (2018), 100-110, doi: 10.1016/j.techsoc.2018.06.007
  4. Alalwan, A.A., Dwivedi, Y.K. and Rana, N.P.J.I.J.o.I.M., "Factors influencing adoption of mobile banking by jordanian bank customers: Extending utaut2 with trust", International Journal of Information Management, Vol. 37, No. 3, (2017), 99-110, doi: 10.1016/j.ijinfomgt.2017.01.002
  5. Alalwan, A.A., Rana, N.P., Dwivedi, Y.K., Algharabat, R.J.T. and Informatics, "Social media in marketing: A review and analysis of the existing literature", Telematics and Informatics, Vol. 34, No. 7, (2017), 1177-1190, doi: 10.1016/j.tele.2017.05.008
  6. Davis, F.D.J.M.q., "Perceived usefulness, perceived ease of use, and user acceptance of information technology", MIS Quarterly: Management Information Systems, (1989), 319-340, doi: 10.2307/249008
  7. Alharbi, S. and Drew, S., "The role of self-efficacy in technology acceptance", in Proceedings of the Future Technologies Conference, Springer. (2018), 1142-1150.
  8. Benbasat, I. and Barki, H.J.J.o.t.a.f.i.s., "Quo vadis tam?", Journal of the Association for Information Systems, Vol. 8, No. 4, (2007), 7, doi: 10.17705/1jais.00126
  9. Brasel, S.A. and Gips, J.J.J.o.C.P., "Tablets, touchscreens, and touchpads: How varying touch interfaces trigger psychological ownership and endowment", Journal of Consumer Psychology, Vol. 24, No. 2, (2014), 226-233, doi: 10.1016/j.jcps.2013.10.003
  10. Budiono, F., Lau, S. and Tibben, W.J., "Cloud computing adoption for e-commerce in developing countries: Contributing factors and its implication for indonesia", in PACIS. (2018), 90.
  11. Carlsson, C., Carlsson, J., Hyvonen, K., Puhakainen, J. and Walden, P., "Adoption of mobile devices/services-searching for answers with the utaut", in Proceedings of the 39th annual Hawaii international conference on system sciences (HICSS'06), IEEE. Vol. 6, (2006), 132a-132a.
  12. Chong, A.Y.-L.J.E.S.w.A., "Predicting m-commerce adoption determinants: A neural network approach", Vol. 40, No. 2, (2013), 523-530, doi: 10.1016/j.eswa.2012.07.068
  13. Chong, A.Y.-L., Chan, F.T. and Ooi, K.-B.J.D.s.s., "Predicting consumer decisions to adopt mobile commerce: Cross country empirical examination between china and malaysia", Vol. 53, No. 1, (2012), 34-43, doi: 10.1016/j.dss.2011.12.001
  14. Daraei, A. and Hamidi, H.J.I.j.o.p.h., "An efficient predictive model for myocardial infarction using cost-sensitive j48 model", Iranian Journal of Public Health, Vol. 46, No. 5, (2017), 682.
  15. Chong, A.Y.-L., Darmawan, N., Ooi, K.-B. and Lin, B.J.I.J.o.M.C., "Adoption of 3g services among malaysian consumers: An empirical analysis", International Journal of Mobile Communications,, Vol. 8, No. 2, (2010), 129-149, doi: 10.1504/IJMC.2010.031444
  16. Chong, J.-L., Chong, A.Y.-L., Ooi, K.-B. and Lin, B.J.I.J.o.M.C., "An empirical analysis of the adoption of m-learning in malaysia", International Journal of Mobile Communications,, Vol. 9, No. 1, (2011), 1-18, doi: 10.1504/IJMC.2011.037952
  17. Alvanchi, A., Didehvar, N., Jalilehvand, M., Adami, P. and Shahmir, S.J.I.J.o.E., "Semi-augmented reality, a novel approach to improve customer safety in the pre-sale process of under construction buildings", International Journal of Engineering, Transactions A: Basics, Vol. 34, No. 10, (2021), doi: 10.5829/ije.2021.34.10a.01
  18. Lee, G. and Kwak, Y.H., "Open government implementation model: A stage model for achieving increased public engagement", in Proceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times. (2011), 254-261.
  19. Dai, H. and Palvia, P., "Factors affecting mobile commerce adoption: A cross-cultural study in china and the united states", (2008), doi: 10.1145/1644953.1644958
  20. Hamidi, H. and Mohammadi, K.J.I.J.o.I.I.T., "Modeling fault tolerant and secure mobile agent execution in distributed systems", International Journal of Intelligent Information Technologies, Vol. 2, No. 1, (2006), 21-36, doi: 10.4018/jiit.2006010102
  21. Donga, G., Zindiye, S.J.B. and Journal, S.S., "Assessing the acceptance of mobile marketing among south african students", Business & Social Sciences Journal, Vol. 3, No. 1, (2018), 46-57, doi:
  22. Duarte, P. and Pinho, J.C.J.J.o.B.R., "A mixed methods utaut2-based approach to assess mobile health adoption", Journal of Business Research, Vol. 102, (2019), 140-150, doi: 10.1016/j.jbusres.2019.05.022
  23. Dwivedi, Y.K., Shareef, M.A., Simintiras, A.C., Lal, B. and Weerakkody, V.J.G.I.Q., "A generalised adoption model for services: A cross-country comparison of mobile health (m-health)", Vol. 33, No. 1, (2016), 174-187, doi: 10.1016/j.giq.2015.06.003
  24. Faqih, K.M., Jaradat, M.-I.R.M.J.J.o.R. and Services, C., "Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: Tam3 perspective", Journal of Retailing and Consumer Services, Vol. 22, (2015), 37-52, doi: 10.1016/j.jretconser.2014.09.006
  25. Gao, T.T., Rohm, A.J., Sultan, F. and Pagani, M.J.J.o.B.R., "Consumers un-tethered: A three-market empirical study of consumers' mobile marketing acceptance", Journal of Business Research, Vol. 66, No. 12, (2013), 2536-2544, doi: 10.1016/j.jbusres.2013.05.046
  26. Guo, X., Zhao, Y., Jin, Y. and Zhang, N., "Two-sided adoption of mobile marketing platforms: Towards an integrated conceptual model", in 2010 Ninth International Conference on Mobile Business and 2010 Ninth Global Mobility Roundtable (ICMB-GMR), IEEE. (2010), 474-480.
  27. Hamidi, H. and Kamankesh, A.J.I.J.o.I.T.S.R., "An approach to intelligent traffic management system using a multi-agent system", International Journal of Intelligent Transportation Systems Research, Vol. 16, No. 2, (2018), 112-124, doi: 10.1007/s13177-017-0142-6
  28. Herrero, Á. and San Martín, H.J.C.i.H.B., "Explaining the adoption of social networks sites for sharing user-generated content: A revision of the utaut2", Vol. 71, No., (2017), 209-217, doi: 10.1016/j.chb.2017.02.007
  29. Hew, J.-J., Badaruddin, M.N.B.A., Moorthy, M.K.J.T. and Informatics, "Crafting a smartphone repurchase decision making process: Do brand attachment and gender matter?", Telematics and Informatics, Vol. 34, No. 4, (2017), 34-56, doi: 10.1016/j.tele.2016.12.009
  30. Hew, T.-S., Leong, L.-Y., Ooi, K.-B. and Chong, A.Y.-L.J.J.o.C.I.S., "Predicting drivers of mobile entertainment adoption: A two-stage sem-artificial-neural-network analysis", Journal of Computer Information Systems, Vol. 56, No. 4, (2016), 352-370, doi: 10.1080/08874417.2016.1164497
  31. Hirschman, E.C.J.J.o.c.r., "Innovativeness, novelty seeking, and consumer creativity", Journal of Consumer Research, Vol. 7, No. 3, (1980), 283-295, doi: 10.1086/208816
  32. Hsu, C.-I., Shih, M.-L., Huang, B.-W., Lin, B.-Y. and Lin, C.-N.J.E.S.w.A., "Predicting tourism loyalty using an integrated bayesian network mechanism", Vol. 36, No. 9, (2009), 11760-11763, doi: 10.1016/j.eswa.2009.04.010
  33. Huang, L., Mou, J., See-To, E.W., Kim, J.J.J.o.R. and Services, C., "Consumer perceived value preferences for mobile marketing in china: A mixed method approach", Journal of Retailing and Consumer Services, Vol. 48, (2019), 70-86, doi: 10.1016/j.jretconser.2019.02.007
  34. Nilchi, A.N., Vafaei, A. and Hamidi, H., "Evaluation of security and fault tolerance in mobile agents", in 2008 5th IFIP International Conference on Wireless and Optical Communications Networks (WOCN'08), IEEE. (2008), 1-5.
  35. S., B., B. L. and Mason, "An empirical study of innate consumer innovativeness, personal characteristics, and new-product adoption behavior", Journal of the Academy of Marketing Science, , (2003), 61-73, doi: 10.1177/0092070302238602
  36. Imtiaz, S.J.I.J.o.I.C.T. and Convergence, D., "The studies of unified theory of acceptance and use of technology (utaut) in m-commerce context", International Journal of Information Communication Technology and Digital Convergence, Vol. 3, No. 1, (2018), 42-56, doi:
  37. Torabi, A., Hamidi, H. and Safaie, N.J.I.J.o.E., "Effect of sensory experience on customer word-of-mouth intention, considering the roles of customer emotions, satisfaction, and loyalty", International Journal of Engineering, Transactions C: Aspects, Vol. 34, No. 3, (2021), 682-699, doi: 10.5829/ije.2021.34.03c.13
  38. Jaradat, M.-I.R.M., Faqih, K.M.J.I.J.o.B. and Management, "Investigating the moderating effects of gender and self-efficacy in the context of mobile payment adoption: A developing country perspective", International Journal of Business and Management,,  Vol. 9, No. 11, (2014), 147, doi: 10.5539/ijbm.v9n11p147
  1. Kalinic, Z., Marinkovic, V.J.I.S. and Management, e.-B., "Determinants of users’ intention to adopt m-commerce: An empirical analysis", Vol. 14, No. 2, (2016), 367-387, doi: 10.1007/s10257-015-0287-2
  2. Bahrami, L., Safaie, N. and Hamidi, H., "Effect of motivation, opportunity and ability on human resources information security management considering the roles of attitudinal, behavioral and organizational factors. ", International Journal of Engineering, Transactions C: Aspects, (2021), 2624-2635, doi: 10.5829/ije.2021.34.12c.07
  3. Khalifa, M. and Shen, K.N.J.J.o.e.i.m., "Explaining the adoption of transactional b2c mobile commerce", Journal of Enterprise Information Management,, (2008), doi: 10.1108/17410390810851372
  4. Kim, C., Mirusmonov, M. and Lee, I.J.C.i.h.b., "An empirical examination of factors influencing the intention to use mobile payment", Vol. 26, No. 3, (2010), 310-322, doi: 10.1016/j.chb.2009.10.013
  5. Kim, H.-W., Chan, H.C. and Gupta, S.J.D.s.s., "Value-based adoption of mobile internet: An empirical investigation", Vol. 43, No. 1, (2007), 111-126, doi: 10.1016/j.dss.2005.05.009
  6. KIR, B. and Altinbaåžak Farä°NA, Ä., "How to increase the participation of customers to location-based mobile marketing: The case of an emerging country turkey", International Journal Of Management & Information Technology,, (2016), 3001–3021, doi: 10.24297/ijmit.v11i5.4687
  7. Ktoridou, D., Epaminonda, E. and Vrontis, D., "Technological and cultural aspects of the use of mobile marketing evidence from cyprus", in The 2007 International Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST 2007), IEEE., (2007), 19-28.
  8. Kwofie, M. and Adjei, J.K., "Understanding the factors influencing mobile commerce adoption by traders in developing countries: Evidence from ghana", in International Working Conference on Transfer and Diffusion of IT, Springer. (2019), 104-127.
  9. Lallmahomed, M.Z., Lallmahomed, N., Lallmahomed, G.M.J.T. and Informatics, "Factors influencing the adoption of e-government services in mauritius", Vol. 34, No. 4, (2017), 57-72, doi: 10.1016/j.tele.2017.01.003
  10. Lamarre, A., Galarneau, S. and Boeck, H.J.I.J.o.L.T.i.C., "Mobile marketing and consumer behaviour current research trend", Vol. 3, No. 1, (2012), 201, doi:
  11. Leong, L.-Y., Ooi, K.-B., Chong, A.Y.-L. and Lin, B.J.I.J.o.M.C., "Influence of individual characteristics, perceived usefulness and ease of use on mobile entertainment adoption", Journal of Mobile Communications, Vol. 9, No. 4, (2011), 359-382, doi: 10.1504/IJMC.2011.041141
  12. Liébana-Cabanillas, F., Marinković, V. and Kalinić, Z.J.I.J.o.I.M., "A sem-neural network approach for predicting antecedents of m-commerce acceptance", Vol. 37, No. 2, (2017), 14-24, doi: 10.1016/j.ijinfomgt.2016.10.008
  13. Liébana-Cabanillas, F., Marinkovic, V., de Luna, I.R., Kalinic, Z.J.T.F. and Change, S., "Predicting the determinants of mobile payment acceptance: A hybrid sem-neural network approach", Vol. 129, (2018), 117-130, doi: 10.1016/j.techfore.2017.12.015
International Journal of Engineering
Volume 35, Issue 3
TRANSACTIONS C: Aspects
March 2022
Pages 493-501

Files

Cited by

Share

How to cite

Statistics