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Reseach Article

Characteristics of Electronic Integrated System and Trust in the Provider of Service

by Ibrahim Abunadi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 132 - Number 4
Year of Publication: 2015
Authors: Ibrahim Abunadi
10.5120/ijca2015907410

Ibrahim Abunadi . Characteristics of Electronic Integrated System and Trust in the Provider of Service. International Journal of Computer Applications. 132, 4 ( December 2015), 23-31. DOI=10.5120/ijca2015907410

@article{ 10.5120/ijca2015907410,
author = { Ibrahim Abunadi },
title = { Characteristics of Electronic Integrated System and Trust in the Provider of Service },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 132 },
number = { 4 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 23-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume132/number4/23583-2015907410/ },
doi = { 10.5120/ijca2015907410 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:28:15.940827+05:30
%A Ibrahim Abunadi
%T Characteristics of Electronic Integrated System and Trust in the Provider of Service
%J International Journal of Computer Applications
%@ 0975-8887
%V 132
%N 4
%P 23-31
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Saudi Arabia has one of the world’s largest vehicle accident death rates. To overcome this, an electronic integrated system was initiated, which contains many components, including surveillance and penalizing systems; however, this system experienced what could be called an extreme system rejection in which some components were hacked, vandalized or even destroyed. To gain an understanding of this issue, the characteristics of the system were studied by modelling them using different theoretical perspectives. In addition, inferential statistics and a branch of data mining (sentiment analysis) were utilized to acquire a clearer insight into the causes. The results of this study include strategic and technological recommendations that could be of use for developers, researchers and decision makers for developing, studying or implementing similar systems.

References
  1. Abu-Shanab, E., Irani, Z., 2014. Antecedents of Trust in E-government Services: An empirical Test in Jordan. Transforming Government: People, Process and Policy 8, 480 - 499.
  2. 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.
  3. Al-Khouri, A.M., 2014. Electronic Payments: Building the Case for a National Initiative. Advances in Social Sciences Research Journal 1, 195.
  4. Alanazi, F., Hussain, S., Mandil, A., Alamro, N., 2015. Towards an electronic national injury surveillance system in Saudi Arabia. Eastern Mediterranean Health Journal 21.
  5. Alghnam, S., Palta, M., Hamedani, A., Alkelya, M., Remington, P.L., Durkin, M.S., 2014. Predicting in-hospital death among patients injured in traffic crashes in Saudi Arabia. Injury 45, 1693-1699.
  6. Alhindi, W.A., Albawardy, F.A., 2013. Applying Change Management to Improving the Perception of the Speed Control System as Viewed by Drivers in the Kingdom of Saudi Arabia. Life Science Journal 10, 171-179.
  7. Almarabeh, T., AbuAli, A., 2010. A general framework for e-government: definition maturity challenges, opportunities, and success. European Journal of Scientific Research 39, 29-42.
  8. Almutairi , S.M., 2011. M-Government: Challenges and Key Success Factors – Saudi Arabia Case Study, in: Almutairi , S.M., Lawan Ahmed, M. (Eds.), Cases on ICT Utilization, Practice and Solutions: Tools for Managing Day-to-Day Issues. IGI Global, Hershey, PA, USA, pp. 78-96.
  9. Alsaghier, H., Ford, M., Nguyen, A., Hexel, R., 2010. Factors Affecting the Citizens' Trust in E-Government, in: Ajeeli, A.T., Al-Bastaki, Y. (Eds.), Handbook of Research on E-Services in the Public Sector: E-Government Strategies and Advancements. IGI Global, Hershey, USA.
  10. Amagoh, F., 2015. Determinants of e-government diffusion in Nigeria An examination of theoretical models. Information Development, 1-18.
  11. Bagozzi, R.P., 2011. Measurement and Meaning in Information Systems and Organizational Research: Methodological and Philosophical Foundations. MIS Quarterly 35, 261-292.
  12. Bamasak, O., Al-Mehmadi, G., Al-Ghamdi, A., Al-Mutawa, A., Al-Ghamdi, M., Monitored Intelligent Car Speed Adaptation (MISA) System. International Journal of Electrical & Computer Sciences IJECS-IJENS 11.
  13. Barney, J.B., Hansen, M.H., 1994. Trustworthiness as a source of competitive advantage. Strategic management journal 15, 175-190.
  14. Bart, Y., Shankar, V., Sultan, F., Urban, G.L., 2005. Are the drivers and role of online trust the same for all web sites and consumers? A large-scale exploratory empirical study. Journal of marketing 69, 133-152.
  15. Beldad, A., van der Geest, T., de Jong, M., Steehouder, M., 2012. A cue or two and I'll trust you: Determinants of trust in government organizations in terms of their processing and usage of citizens' personal information disclosed online. Government information quarterly 29, 41-49.
  16. Bollen, K.A., 1989. Structural equations with latent variables. John Wiley & Sons, New York, NY.
  17. Byrne, B.M., 2010. Structural equation modeling with AMOS: Basic concepts, applications, and programming, 2nd ed. Taylor & Francis Group, New York.
  18. Carter, L., Bélanger, F., 2004. The Influence of Perceived Characteristics of Innovating on e-Government Adoption. Electronic Journal of e-Government 2, 11-20.
  19. Carter, L., Bélanger, F., 2005. The utilization of e-government services: citizen trust, innovation and acceptance factors. Information Systems Journal 15, 5-25.
  20. Converse, J.M., Presser, S., 1986. Survey questions: Handcrafting the standardized questionnaire. Sage, Newbury Park, CA.
  21. Corbitt, B.J., Thanasankit, T., Yi, H., 2003. Trust and e-commerce: a study of consumer perceptions. Electronic commerce research and applications 2, 203-215.
  22. Coulter, K.S., Coulter, R.A., 2002. Determinants of trust in a service provider: the moderating role of length of relationship. Journal of Services Marketing 16, 35-50.
  23. Creswell, J.W., 2009. Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, 3rd ed. SAGE Publications, Thousand Oaks, CA.
  24. Curran, P.J., West, S.G., Finch, J.F., 1996. The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological Methods 1, 16-29.
  25. D'Ambra, J., Wilson, C.S., Akter, S., 2013. Application of the task‐technology fit model to structure and evaluate the adoption of E‐books by Academics. Journal of the American Society for Information Science and Technology 64, 48-64.
  26. Detlor, B., Hupfer, M.E., Ruhi, U., Zhao, L., 2013. Information quality and community municipal portal use. Government Information Quarterly 30, 23-32.
  27. El Bcheraoui, C., Basulaiman, M., Tuffaha, M., Daoud, F., Robinson, M., Jaber, S., Mikhitarian, S., Wilson, S., Memish, Z.A., Al Saeedi, M., 2014. Get a license, buckle up, and slow down: risky driving patterns among Saudis. Traffic injury prevention 16.
  28. Forward, S.E., 2006. The intention to commit driving violations – A qualitative study. Transportation Research Part F: Traffic Psychology and Behaviour 9, 412-426.
  29. Gefen, D., Straub, D., Boudreau, M., 2000. Structural Equation Modeling and Regression: Guidelines for Research Practice. Communications of the AIS 4, 1-77.
  30. Haddad, S.H., Yousef, Z.M., Al-Azzam, S.S., AlDawood, A.S., Al-Zahrani, A.A., AlZamel, H.A., Tamim, H.M., Deeb, A.M., Arabi, Y.M., 2015. Profile, outcome and predictors of mortality of abdomino-pelvic trauma patients in a tertiary intensive care unit in Saudi Arabia. Injury 46, 94-99.
  31. Hair, J.F., Black, W., Babin, B., Anderson, R., 2010. Multivariate data analysis: A global perspective, 7th ed. Pearson, Upper Saddle River, NJ.
  32. Harridge-March, S., Grabner-Kräuter, S., Faullant, R., 2008. Consumer acceptance of internet banking: the influence of internet trust. International Journal of bank marketing 26, 483-504.
  33. Hung, S.Y., Chang, C.M., Yu, T.J., 2006. Determinants of user acceptance of the e-government services: The case of online tax filing and payment system. Government Information Quarterly 23, 97-122.
  34. Hwang, Y., Al-Arabiat, M., Shin, D.-H., 2015. Understanding technology acceptance in a mandatory environment: A literature review. Information Development.
  35. Iivari, J., 2015. Making Sense of the History of Information Systems Research 1975-1999: A View of Highly Cited Papers. Communications of the AIS 36, 25.
  36. Jan, Y., 2014. Drivers' Perception of Saher Traffic Monitoring System in Jeddah, Saudi Arabia. Western Kentucky University.
  37. Kapoor, K., Dwivedi, Y., Williams, M., 2014. Examining the role of three sets of innovation attributes for determining adoption of the interbank mobile payment service. Information Systems Frontiers, 1-18.
  38. Kapoor, K.K., Dwivedi, Y.K., Williams, M.D., 2014. Rogers’ Innovation Adoption Attributes: A Systematic Review and Synthesis of Existing Research. Information Systems Management 31, 74-91.
  39. Kawaljeet Kaur, K., Yogesh, K.D., Michael, D.W., 2014. Innovation adoption attributes: a review and synthesis of research findingsnull. European Journal of Innovation Management 17, 327-348.
  40. Khalil, O.E.M., Nasrallah, A., 2014. The Adoption of the Traffic Violation E-payment System (TVEPS) of Kuwait. Electronic Journal of Knowledge Management 12, 3-22.
  41. Kline, R.B., 2010. Principles and practice of structural equation modeling, 3rd ed. The Guilford Press, New York.
  42. Kotler, P., 1997. Marketing Management: Analysis, Planning, and Control, 9th ed. Prentice-Hall, Englewood Cliffs, NJ.
  43. Kugler, M., Smolnik, S., Raeth, P., 2013. Determining the factors influencing enterprise social software usage: Development of a measurement instrument for empirical assessment, 46th Hawaii International Conference on System Sciences (HICSS). IEEE, Wailea, Maui, pp. 3635-3644.
  44. Kumar, K.N., Christopher, T., 2015. Opinion Mining: A Survey. International Journal of Computer Applications 113.
  45. Liao, C., Liu, C.-C., Chen, K., 2011. Examining the impact of privacy, trust and risk perceptions beyond monetary transactions: An integrated model. Electronic Commerce Research and Applications 10, 702-715.
  46. Liu, B., 2012. Sentiment analysis and opinion mining. Synthesis Lectures on Human Language Technologies 5, 1-167.
  47. Mahmood, M., Osmani, M., Sivarajah, U., 2014. The Role of Trust in E-Government Adoption: A Systematic Literature Review, Twentieth Americas Conference on Information Systems, Savannah.
  48. Manakshe, A.R., Jirkar, S., Wakhare, P., Buram, V., 2014. Analysis of secure electronic transmission (SET) system for electronic transactions. International Journal of Research in Advent Technology 2, 12-15.
  49. Miller, A.H., Listhaug, O., 1990. Political parties and confidence in government: A comparison of Norway, Sweden and the United States. British Journal of Political Science 20, 357-386.
  50. Mohanad, H., 2015. Review of ICT Adoption Research in Arabic Countries: Trends and Future Research. Information Resources Management Journal (IRMJ) 28, 52-68.
  51. Moore, G.C., Benbasat, I., 1991. Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research 2, 192-222.
  52. Mou, J., Cohen, J., 2013. Trust and Risk in Consumer Acceptance of E-services: A Meta-analysis and a Test of Competing Models, Thirty Fourth International Conference on Information Systems, Milan.
  53. Mou, J., Cohen, J., 2014. Trust in electronic-service providers: A meta-analysis of antecedents, Proceedings of The 18th Pacific Asia Conference on Information Systems.
  54. Nedbal, D., Stieninger, M., Erskine, M., Wagner, G., 2014. The Adoption of Cloud Services in the Context of Organizations: An Examination of Drivers and Barriers, Twentieth Americas Conference on Information Systems, Savannah.
  55. Pearce, A.D.N., Rowley, P., 2012. Implementing ATVAM, the world's largest ITS program, across Saudi Arabia, IET and ITS Conference on Road Transport Information and Control, London, pp. 1-6.
  56. Rogers, E.M., 1983. Diffusion of Innovations, 3rd ed. Free Press, New York.
  57. Rogers, E.M., 2003. Diffusions of Innovations, 5th ed. Free Press, New York.
  58. Rotter, J.B., 1971. Generalized Expectations for Interpersonal Trust. American Psychologist 26, 443-452.
  59. Schmidt, M., Arnett, K., 2007. Synthesis and Analysis of Moore and Benbasat's PCI and Witte's Susceptibility and Severity of Threat Scales. AMCIS 2007 Proceedings, 196.
  60. Sharma, S.K., 2015. Adoption of e-government services: The role of service quality dimensions and demographic variables. Transforming Government: People, Process and Policy 9, 207-222.
  61. Smith, M.A., Himelboim, I., Rainie, L., Shneiderman, B., 2015. The Structures of Twitter Crowds and Conversations, in: Matei, S.A., Russell, M.G., Bertino, E. (Eds.), Transparency in Social Media. Springer, pp. 67-108.
  62. Thelwall, M., Buckley, K., Paltoglou, G., 2011. Sentiment in Twitter events. Journal of the American Society for Information Science and Technology 62, 406-418.
  63. Thompson, R.L., Higgins, C.A., Howell, J.M., 1991. Personal computing: Towards a conceptual model of utilization. MIS Quarterly 15, 125-143.
  64. Tolbert, C.J., Mossberger, K., 2006. The Effects of E‐Government on Trust and Confidence in Government. Public Administration Review 66, 354-369.
  65. Tornatzky, L.G., Klein, K.J., 1982. Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings. Engineering Management, IEEE Transactions on, 28-45.
  66. Warkentin, M., Gefen, D., Pavlou, P., Rose, G., 2002. Encouraging Citizen Adoption of e-Government by Building Trust. Electronic Markets 12, 157-162.
  67. Wright, K.B., 2005. Researching Internet‐based populations: Advantages and disadvantages of online survey research, online questionnaire authoring software packages, and web survey services. Journal of Computer‐Mediated Communication 10.
Index Terms

Computer Science
Information Sciences

Keywords

System characteristics Data mining Violation systems.