Towards of Smart Cities Based on the Sustainability of Digital Services

  • Authors

    • Munadil K. Faaeq
    • Nik Kamariah Nik Mat
    • Alaa Khaleel Faieq
    • Mohammad M. Rasheed
    • Qusay H. Al- Faieq
    2018-11-30
    https://doi.org/10.14419/ijet.v7i4.28.22627
  • Nowadays, the Digital Services (DS) has become an important component of Information Communication Technology (ICT) provided by governments to sustain and facilitate all the transactions. Simuntinuslly, digital services has gained popularity in developed and developing countries alike. Due to the importance of the sustainability of Information System (IS), this paper identifies the emergence of a clear gape to measure the sustainability of DS development for transforming to smart cites. The purpose of this paper is to observe the connections between Digital Services as a tool for economic development to approach the smart city and sustainability as the goal. Variables like infrastructure, social factors, security, users behavior and the more are to be determined majorly effecting the sustainability of DS as a technological and psychological packages. With the perspectives of the Expectation-Confirmation Theory (ECT) and Unified Theory of Acceptance and Use of Technology (UTAUT2). To examine the sustainability model, the data for this study were collected from 350 employees in public universities. This study employed the PLS 3 to the measurement model. Based on the findings, it can be confirmed that this freamwork is reliable to measure the sustainability of DS for transforming to smart cites. In addition, the results supported that these are successful key measurements of transforming to smart cities by countinue usage of DS in general and electronic govemrnt (eG) in spicific.

  • References

    1. [1] Mubarak Alruwaie A framework for evaluating citizens’ outcome expectations and satisfactions toward continued intention to use e-Government services. Doctoral Symposium 2012.

      [2] Alsohybe NT. The implementation of e-government in the republic of yemen: an empirical evaluation of the technical and organizational readiness: Capella University; 2007.

      [3] AlShihi H. Critical Factors in the Adoption and Diffusion of E-government Initiatives in Oman Victoria University 2006.

      [4] Hsueh M. Interactive Text Recognition and Translation on a Mobile Device2011. SRC - GoogleScholar :2011-57

      [5] Malhotra Y, Galletta D, A. Commitment Model of Volitional Systems Adoption and Usage Behavior. Journal of Management Information Systems. 2005;22(1 SRC - GoogleScholar):117-51.

      [6] Venkatesh V, Morris MG, Davis GB, Davis FD, S. MI. User acceptance of information technology: Toward a unified view1. 2003;27(3 SRC - GoogleScholar):425-78.

      [7] Bhattacherjee A, S. MI. Understanding Information Systems Continuance: An Expectation-Confirmation Model. doi 1023073250921. 2001;25(3 SRC - GoogleScholar):351-70.

      [8] Karahanna E, Straub DW, Chervany NL, A., S. MI. Information Technology Adoption Across Time: Comparison of Pre-Adoption and Post-Adoption Beliefs. doi 102307249751. 1999;23(2 SRC - GoogleScholar):183-213.

      [9] Wangpipatwong S, Chutimaskul W, Papasratorn B. Understanding Citizen’s Continuance Intention to Use e-Government Website: a Composite View of Technology Acceptance Model and Computer Self-Efficacy The Electronic Journal of e-Government. 2008;6(1 SRC - GoogleScholar):55-64.

      [10] MOST. . International trying program on governance. Ministry Of Sciences and Technology Baghdad Iraq Retrieved from wwwuotechnologyeduiqictcEMangppsx. 2010.

      [11] Portal Iraq. Portal Iraq 2011 [cited 2011 07/05/]. Available from: http://www.albawwaba.net/internet-communication/24711/

      [12] Heeks R. Success and Failure Rates of eGovernment in Developing/Transitional Countries: Overview UK2008. Available from: http://www.egov4dev.org/success/sfrates.shtml.

      [13] United Nations. GLOBAL E-GOVERNMENT READINESS REPORT 2004. New York: 2004.

      [14] United Nations. UN Global E-government Readiness Report 2005. 2005.

      [15] United Nations. United Nations e-Government Survey 2008. New York: 2008.

      [16] United Nations. E-Government Survey 2012. New York: Department of Economic and Social Affairs, 2012.

      [17] Alfaadel F, Alawairdhi M, Al-Zyoud M. Success and Failure of IT Projects: A Study in Saudi Arabia acm. 2012.

      [18] Shajari M, Ismail Z. A Comprehensive Adoption Model of e-Government Services in Developing Countries IEEE 2010

      [19] United Nations. World Public Sector Report 2003. New York: 2003.

      [20] Park R, editor Measuring Factors that Influence the Success of E-Government Initiatives. Hawaii International Conference on System Sciences, Proceedings of the 41st Annual; 2008 7-10 Jan. 2008.

      [21] Jaeger PT, Thompson KM. E-government around the world: Lessons, challenges, and future directions. Government Information Quarterly. 2003 20:389 -94.

      [22] Wang Y-S, Shih Y-W. Why do people use information kiosks? A validation of the Unified Theory of Acceptance and Use of Technology. Government Information Quarterly. 2009;26(1):158-65.

      [23] Rogers E. Diffusion of innovations. New York: Free Press; 1995.

      [24] Wangpipatwong S, Chutimaskul W, Papasratorn B. Understanding Citizen’s Continuance Intention to Use e-Government Website: a Composite View of Technology Acceptance Model and Computer Self-Efficacy The Electronic Journal of e-Government 2008; 6(1):55 - 64.

      [25] Griffin D, Halpin E. An Exploratory Evaluation of UK Local e-Government From an Accountability Perspective Electronic Journal of e-Government 2005;3(1):13-28.

      [26] Tai AH. E-government and the possibilities of their application In Iraq shed light on the experiences of some countries. Symposium of eighteen series of seminars hosted by the Consulting Office; IRAQ: University of Baghdad-College of Management and Economics; 2008.

      [27] Al-Majali Mm. The Antecedents Of Internet Banking Service Adoption In Jordan: Using Decomposed Theory Of Planned Behaviour Universiti Ut Ara Malaysia 2011.

      [28] Bagozzi, R. P., & Dabholkar, P. A.. Discursive Psychology: An Alternative Conceptual Foundation to Means–End Chain Theory. Psychology & Marketing, 2000; 17(7), 535-586.

      [29] Oliver, R. L. Cognitive, Affective, and Attribute Bases of the Satisfaction Response, Journal of Consumer Research 1993; (20), 418-430.

      [30] Oliver, R. L. A Cognitive Model for the Antecedents and Consequences of Satisfaction, Journal of Marketing Research 1980; (17), 460-469.

      [31] Patterson, P. G. Johnson, L. W. & Spreng, R. A. Modeling the Determinants of Customer Satisfaction for Business-to-Business Professional Services, Journal of the Academy of Marketing Science, 1997; 25(1), 4-17.

      [32] Tse, D. K., & Wilton, P. C. Models of Consumer Satisfaction: An Extension, Journal of Marketing Research 1988; (25), pp. 204- 212.

      [33] Spreng, R. A., MacKenzie, S. B. & Olshavsky, R. W. A Reexamination of the Determinants of Consumer Satisfaction, Journal of Marketing 1996; (60), 15-32.

      [34] Bagozzi, R. P., & Dabholkar, P. A. Discursive Psychology: An Alternative Conceptual Foundation to Means–End Chain Theory. Psychology & Marketing, 2000; 17(7), 535-586.

      [35] Swan, J. E., & Trawick, I. F. Disconfirmation of Expectations and Satisfaction with a Retail Service," Journal of Retailing 1981; (57), 49-67.

      [36] Lohmoller, J. B. LVPLS program manual Technical report: Zentralarchiv für empirische Sozialforschung. (1987).

      [37] Lohmoller, J. B. Latent variable path modeling with partial least squares. Physica-Verlag Heidelberg. (1989).

      [38] Chin W. W. The Partial Least Squares Approach for Structural Equation Modeling. In GA Marcoulides (ed.), Modern Methods for Business Research, 1998; 295-336. Lawrence Erlbaum Associates, London.

      [39] Tenenhaus, M., Vinzi, V. E., Chatelin, Y.-M., & Lauro, C. PLS path modeling. Computational Statistics & Data Analysis, 2005; 48(1), 159-205. doi: http://dx.doi.org/10.1016/j.csda.2004.03.005

      [40] Anderson, J. C., & Gerbing, D. W. Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach Psychological Bulletin 1988; 103(3), 411-423.

      [41] Hair, j. F., Black, W. C., Babin, B. J., & Anderson, R. E. Multivariate data analysis 2010; (7th Edition). Retrieved from http://www.amazon.com/Multivariate-Data-Analysis-7th-Edition/dp/0138132631

      [42] Pedersen, D. Political violence, ethnic conflict, and contemporary wars:broad implications for health and social well-being. Social Science & Medicine 2002; 55, 175-190.

      [43] Gershenson, D., & Grossman, H. I. Civil Conflict Ended Or Never Ending? Conflict Resolution 2000; 44(6), 808-822.

      [44] Heidelberger Institut für Internationale Konfliktforschung (HIIK). Conflict Barometer: Crises - Wars - Coups d’ ´Etat Negotiations - Mediations - Peace Settlements.17th Annual Conflict Analysis. Heidelberg. Heidelberg Institute For International Conflict Research at the Department of Political Science, University of Heidelberg. (2008).

      [45] Smith, H. A., & McKeen, J. D. Computerization and management: A study of conflict and change. Information & Management 1992; 22(1), 53-64.

      [46] Kankanhalli, A., Tan, B. C. Y., & Wei, K.-K. Conflict and Performance in Global Virtual Teams Management Information Systems 2007; 23(3), 237 - 274.

      [47] Wall, J. & Callister, R Conflict and Its Management. Journal of Management 1995; 21(3), 515-558

      [48] Basu, S. E-Government and Developing Countries: An Overview. International Review Of Law Computers Technology 2004; 18(1), 109-132.

      [49] Sanginga, P.C. Kamugisha, R.N., Martin, A.M., Conflicts management, social capital and adoption of agroforestry technologies: empirical findings from the highlands of southwestern. Uganda Agroforest Syst, 2007; 69(1), 67-76. doi: 10.1007/s10457-006-9018-5.

      [50] Partridge, H. Redefining the digital divide: Attitudes do matter! Proceedings of the American Society for Information Science and Technology 2007; 44(1), 1-13. doi: 10.1002/meet.1450440251

      [51] Cordesman, A. H. Iraqi Perceptions of the War: Public Opinion by City and Region(2007). Retrieved from http://www.csis.org/burke

      [52] Khan, G. F., Moon, J., Zo, H., & Rho, J. J. Civil Conflict, Digital Divide, and E-government Service Adoption: A Conflict Theory Approach. World Academy of Scienece, Engineering and Technology 2010a; 66 2010.

      [53] .Khan, G. F. Essays on Electronic Government in Developing Countries: A Socio-Technical Perspective. (Doctoral dissertation). Retrieved from Dissertations and Theses 2010b; (Kaist University).

      [54] Khan, G. F., Moon, J., Swar, B., Zo, H., & Rho, J.J. E-government service use intentions in Afghanistan: Technology adoption and the digital divide in a war-torn country, Information Development 2012; 28 (4), 281-299. doi:10.1177/0266666912438879

      [55] Top 10 Most Dangerous Countries in the World 2013. Retrieved August 4, 2013, from http://toptenstore.blogspot.com/2013/01/top-10-most-dangerous-countries-in.html

      [56] Graafland-Essers, I., & Ettedgui, E. Benchmarking e-Government in Europe and the US 2003; Retrieved 14-11, 2011, from https://www.google.co.uk/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CDYQFjAA&url=http%3A%2F%2Fwww.rand.org%2Fcontent%2Fdam%2Frand%2Fpubs%2Fmonograph_reports%2F2005%2FMR1733.pdf&ei=_wLKUrTyDsnprAfOyYGoCA&usg=AFQjCNEhvYzJRVJ0x3oFZYrdMaGtcqtgGw&bvm=bv.58187178,d.bmk

      [57] Carter, L., & Bishath W. e-government adoption: A cultural comparison,. Inf Syst Front 2008; 10(4), 473-482.

      [58] Venkatesh, V., Thong, J. Y. L., & Xu, X. Consumer Acceptance And Use Of Information Technology: Extending The Unified Theory Of Acceptance And Use Of Technology. MIS Quarterly 2012; 36(1), 157-178.

      [59] Abdul-Rahman, A., Jamaludin, A., & Mahmud, Z., Intention to Use Digital Library based on Modified UTAUT Model: Perspectives of Malaysian Postgraduate Students. World Academy of Science, Engineering and Technology 2011; 75, 116-122.

      [60] Al-Dabbagh, M. Electronic Government in Iraq: Challenges of development and implementation. (Master dissertation). Retrieved from Dissertations and Theses 2011;. (Örebro University Swed).

      [61] Foon, Y. S., & Fah, B. C. Y. Internet Banking Adoption in Kuala Lumpur: An Application of UTAUT Model. International Journal of Business and Management 2011; 6(4), 161-167.

      [62] Yahya, M., Nadzar, F. Masrek, N. & Abd Rahman, B Determinants of UTAUT in measuring user acceptance of E-syariah portal in syariah courts in Malaysia. Proceedings of the 2nd International Research Symposium in Service Management, July 26-30, 2011, Yogyakarta, Indonesia, 2011; 242-250. Retrieved from http://irssm.upnyk.ac.id/userfiles/file/papers/031.pdf.

      [63] Al-Sobhi, F., Weerakkody, V., & Ramzi El-Haddadeh. The Roles of Intermediaries in E-Government Adoption: The Case of Saudi Arabia. Paper presented at the Gov Workshop 11 2011;.West London.

      [64] Chiu, C.M. & Wang, E.T.G. Understanding Web-based learning continuance intention: The role of subjective task value. Information & Management 2008; (45), 194-201. doi:101016/j.im2008.02.003

      [65] Alshehri, M., Drew, S., Alhussain, T., & Alghamdi, R. The Effects of Website Quality on Adoption of E-Government Service: An Empirical Study Applying UTAUT Model Using SEM Paper presented at the 23rd Australasian Conference On Information Systems, Geelong (3-5 Dec 2012).

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    Faaeq, M. K., Mat, N. K. N., Faieq, A. K., Rasheed, M. M., & Faieq, Q. H. A.-. (2018). Towards of Smart Cities Based on the Sustainability of Digital Services. International Journal of Engineering & Technology, 7(4.28), 436-442. https://doi.org/10.14419/ijet.v7i4.28.22627