International Journal of Management and Fuzzy Systems

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Predictors of E-government Services Adoption: A Case Study of Russian Students in China

Received: 14 April 2017    Accepted: 26 April 2017    Published: 31 October 2017
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Abstract

Electronic government is the use of Information and Communication Technologies in the public administration processes to provide better public services to citizens and the general public. The adoption of e-government services is vital for the success of e-government projects. The purpose of this study is to investigate factors influencing the Russian students in China willingness to adopt and use e-government services. Predictors such as perceived usefulness, perceived ease of use, perceived service quality, citizen trust and language barrier would be explored. The Technology Acceptance Model would be used as the theoretical framework for the study. The questionnaire instruments would be administered to 500 Russian students in the City of Harbin. The data gathered would be captured and analyzed with SPSS while a further analysis would be conducted using the Structural Equation Model (SEM). Based on the data analysis, appropriate recommendations would be offered to improve public service delivery through e-government not only to Chinese citizens but foreign nationals who reside in China as well.

DOI 10.11648/j.ijmfs.20170305.12
Published in International Journal of Management and Fuzzy Systems (Volume 3, Issue 5, October 2017)
Page(s) 67-74
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

E-government, E-government Services, Adoption, Technology Acceptance Model (TAM), Russia, China

References
[1] Kefallinos, D., Lambrou, M., Sykas, E.: An Extended Risk Assessment Model for Secure EGovernment Projects. International Journal of Elec-tronic Government Research. 5, 72–92 (2009)
[2] Fang, Z.: E-Government in Digital Era: Concept, Practice, and Devel-opment. International Journal of The Computer, The Internet and Man-agement. 10, 1–22 (2002).
[3] Wangpipatwong, S.: Quality Enhancing the Continued Use of E-Government Web Sites: Evidence from E-Citizens of Thailand. Interna-tional Journal of Electronic Government Research. 5, 19–35 (2009).
[4] Kumar, V., Mukerji, B., Butt, I., Persaud, A.: Factors for Successful e-Government Adoption: a Conceptual Framework. The Electronic Journal of e-Government. 5, 63 – 76 (2007).
[5] Alshehri, M., Drew, S., Alfarraj, O.: A Comprehensive Analysis of E-Government Services Adoption in Saudi Arbaia: Obstacles and Chal-lenges. International Journal of Advanced Computer Science and Appli-cations. 3, (2012).
[6] Noore Alam Siddiquee, (2016) "E-government and transformation of service delivery in developing countries: The Bangladesh experience and lessons", Transforming Government: People, Process and Policy, Vol. 10 Issue: 3,pp. 368-390, doi: 10.1108/TG-09-2015-0039 Permanent link to this document:http://dx.doi.org/10.1108/TG-09-2015-0039
[7] Altameem, T., Zairi, M. and Alshawi, S. (2006), “Critical success factors of E-Government: a proposed model for E-Government implementation”, Innovations in Information Technology 2006, Dubai, November 2006, pp. 1-5
[8] Weerakkody, V., El-Haddadeh, R. and Al-Shaf, S. (2011), “Exploring the complexities of e-government implementation and diffusion in a developing country some lessons from the state of Qatar”, Journal of Enterprise Information Management, Vol. 24 No. 2, pp. 172-196.
[9] Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intentions and behavior: An introduction to theory and research. Boston: Addison-Wesley.
[10] Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckman (Eds.), Action-control: From cognition to behavior (pp. 11–39). Heidelberg, Germany: Springer.
[11] Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.
[12] Rogers, E. M. (1995). Diffusion of innovations (4th ed.). New York: Free Press.
[13] Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340
[14] Agarwal, R., and Prasad, J. “A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology,” Information Systems Research (9:2), 1998b, pp. 204‐ 215.
[15] Ji‐Won Moon, Young‐Gul Kim “Extending the TAM for a World‐Wide‐Web context” Information & Management, 38, 217–230
[16] Missing
[17] Chau, P. Y. K. (1996). “An empirical assessment of a modified technology acceptance model.” Journal of Management Information Systems, 13, 185‐204.
[18] Van der Heijden, H. (2000). “Using the technology acceptance model to predict website usage: Extensions and Empirical Test,” Serie Research Memoranda.
[19] Mercy Mlay Komba(2016). Adoption of E-Government Services Among Citizens in the Selected Districts of Tanzania. International journal Of computer science and technology. IJCST Vol. 7, ISSue 3, July - SepT 2016.
[20] H. M. B. P. Ranaweera (2016). Perspective of trust towards e-government initiatives in Sri Lanka. SpringerPlus (2016) 5:22DOI 10.1186/s40064-015-1650-y
[21] Lai, C, S, A, and Pires, G. (2010) “Testing of a Model Evaluating e-Government Portal Acceptance and Satisfaction” The Electronic Journal Information Systems Evaluation Volume 13 Issue 1 2010, (pp35 - 46), available online at www.ejise.com
[22] Cegarra-Navarro J., et al. “The Value of Extended Framework of TAM in the Electronic Government Services” The Electronic Journal of Knowledge Management Volume 12 Issue 1 (pp 14-24) available online at www.ejkm.com
[23] Kostas Zafiropoulos, Ioannis Karavasilis, and Vasiliki Vrana(2012). Assessing the Adoption of e-Government Services by Teachers in Greece. Future Internet 2012, 4, 528-544; doi:10.3390/fi4020528
[24] Raed Alotaibi et al, (2014). A Study of Service Users’ Attitudes towards E-Government Initiatives in the Kingdom Of Saudi Arabia (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (6), 2014, 6892-6901
[25] Norazah Mohd Suki and T. Ramayah(2010). User Acceptance of the E-Government Services in Malaysia: Structural Equation Modelling Approach. Interdisciplinary Journal of Information, Knowledge, and Management. Volume 5, 2010.
[26] Saleh Alghamdi andNatalia Beloff (2016). Innovative Framework for e-Government adoption in Saudi Arabia: A Study from the business sector perspective. (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 7, No. 1, 2016
[27] Alenezi, H., Tarhini, A., & Sharma, S. K. (2015). Development of a Quantitative Model to Investigate the Strategic Relationship between Information Quality and E-Government Benefits. Transforming Government: People, Process and Policy, 9(3), 324-351. http://dx.doi.org/10.1108/TG-01-2015-0004
[28] Alalwan, A. A., Dwivedi, Y. K., & Williams, M. D. (2016). Customers’ Intention and Adoption of Telebanking in Jordan. Information Systems Management, 33(2), 154-178.
[29] Abdullah, F., Ward, R., & Ahmed, E. (2016). Investigating the influence of the most commonly used external variables of TAM on students’ Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios. Computers in Human Behavior, 63, 75-90. http://dx.doi.org/10.1016/j.chb.2016.05.014
[30] Obeidat, B. Y., Al-Suradi, M., Masa’deh, R., & Tarhini, A. (2016). The Impact of Knowledge Management on Innovation: An Empirical Study on Jordanian Consultancy Firms. Management Research Review, 39(12), 33-52.
[31] Masa’deh, R., Tarhini, A., Al-Dmour, R. H., & Obeidat, B. Y. (2015). Strategic IT-Business Alignment as Managers’ Explorative and Exploitative Strategies. European Scientific Journal, 11(7), 437-457.
[32] Abdullah, F., & Ward, R. (2016). Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors. Computers in Human Behavior, 56, 238-256. http://dx.doi.org/10.1016/j.chb.2015.11.036
[33] Esterhuyse, M., & Scholtz, B. (2016). The Intention to Use E-Learning in Corporations. In Proceedings of the 2nd International Conference on Information Resources Management (pp. 3-18). Cape Town, South Africa.
[34] Altamony, H., Tarhini, A., Al-Salti, Z., Gharaibeh, A., & Elyas, T. (2016). The relationship between Change Management Strategy and Successful Enterprise Resource Planning (ERP) Implementations: A Theoretical Perspective. International Journal of Business Management and Economic Research, 7(4), 690-703.
[35] Almajali, D. A., Masa’deh, R., & Tarhini, A. (2016). Antecedents of ERP Systems Implementation Success: A Study on Jordanian Healthcare Sector. Journal of Enterprise Information Management, 29(4), 549-565. http://dx.doi.org/10.1108/JEIM-03-2015-0024
[36] Barbara R. Lewis, Vincent W. Mitchell, “Defining and Measuring the Quality of Customer Service”, Marketing Intelligence & Planning, Vol. 8 Iss: 6, 1990, pp.11 – 17
[37] Asubonteng, P., McCleary, K. J. and Swan, J. E., "SERVQUAL revisited: a critical review of service quality", Journal of Services Marketing, Vol. 10, No. 6, 1996, pp.62-81
[38] Wisniewski, M. & Donnelly., M. Measuring service quality in the public sector: The potential for SERVQUAL. Total Quality management, 7, 1996, pp.357-364.
[39] Parasuraman, A., Zeithaml, V. A., Malhotra, A., 2005. E-S-Qual: a multiple-item scale for assessing electronic service quality. Journal of Service Research 7 (3), pp.213–233
[40] Sujeet Kumar Sharma, (2015),"Adoption of e-government services", Transforming Government: People, Process and Policy, Vol. 9 Iss 2 pp. 207 – 222 Permanent link to this document: http://dx.doi.org/10.1108/TG-10-2014-0046
[41] Yang, Z., Fang, X., 2004. Online service quality dimensions and their relationships with satisfaction: a content analysis of customer reviews of securities brokerage services. International Journal of Service Industry Management 15 (3), pp.302–326.
[42] Fassnacht, M., & Koese, I. (2006). Quality of electronic services. Journal of Service Research, 9(1), 19-37.
[43] Cristobel, E., Flavian, C., & Guinaliu, M. (2007). Perceived e-service quality (PeSQ): Measurement validation and effects on consumer satisfaction and web site loyalty. Managing Service Quality, 17(3), 317-340.
[44] Changsoo Sohn, & Suresh K. Tadisina. (2008). Development of e-service quality measure for internet-based financial institutions. Total Quality Management & Business Excellence, 19(9), 903-918.
[45] Liao, Z. and Cheung, M. T. (2008), “Measuring consumer satisfaction in internet banking: a core framework”, Communications of the ACM, Vol. 51 No. 4, pp. 47-51
[46] George, A. and Kumar, G. G. (2014), “Impact of service quality dimensions in internet banking on customer satisfaction”, DECISION, Vol. 41 No. 1, pp. 73-85.
[47] Emad Bataineh and Sara Al Mutawa (2016)," An Analysis Study of Factors That Determine E-Services Usage by End Users: A Case Study ", Journal of e-Government Studies and Best Practices, Vol. 2016 (2016), Article ID 371910, DOI:10.5171/2016.371910
[48] Carter, L, Belanger, F., "The utilization of e-government services: Citizen trust, innovation and acceptance factors", Information Systems Journal 15: 5-25, 2005.
[49] Rousseau, D., Sitkin, S., Burt, R & Camerer, C. (1998). Not so different after all: a cross discipline view of trust. Academy of Management Review 23 (3), 393-404.
[50] Mayer, R. C., Davis J. H. & Schoorman D. F. (1995). An integrative model of organizational trust. The Academy of Management Revie. 3, 709–734.
[51] Cave, J. (2005). The economics of cyber trust between cyber partners. In Trust and Crime in Information Societies (Mansell and Collins, eds.) Cheltenham: Edward Elgar, 380– 427
[52] Guerra, G. A., Zizzo, D. J., Dutton, W. H., & Peltu, M. (2003). Economics of Trust in the Information Economy: Issues of Identity, Privacy and Security. Technical report. Oxford Internet Institute, Research Report No. 1.
[53] Cavoukian, A. & Hamilton, T. (2002). The Privacy Payoff. HowSuccessful Business Build Consumer Trust. McGraw-HillRyerson Trade
[54] Riegelsberger, J., Sasse, M. A. & McCarthy, J. D. (2005). The Mechanics of Trust: A Framework for Research and Design. International Journal of HumanComputer Studies. 62(3), 381-422.
[55] Lee, J., Kim, J. & Moon, J. Y. (2000). What makes internet usersvisit cyber stores again? Key design factors for customer loyalty. In CHI ’00: Proceedings of the SIGCHI conference on Human factors in computing systems, 305–312, NewYork, ACM Press.
[56] Salovey P. & Rothman A. (2003). Social Psychology of Health. Psychology press.
[57] Misztal, Barbara A. (1996). Trust in Modern Societie. Cambridge, The Polity Press.
[58] Fukuyama, F. (1995). Trust: The Social Virtues and the Creation of Prosperity. Harmondsworth, Penguin Books
[59] Fukuyama, F. (1995). Trust: The Social Virtues and the Creation of Prosperity. Harmondsworth, Penguin Books.
[60] Belanger, A. & Carter, L. (2008). Trust and risk in egovernment adoption. Journal of Strategic Information Systems 17, 165–176.
[61] Horst M, Kuttschreuter M. & Gutteling J. M. (2007). Perceived usefulness, personal experiences, risk perception and trust as determinants of adoption of egovernment services in The Netherlands. Computers in Human Behavior 23, 1838–1852.
[62] Warkentin, M., Gefen D., Pavlou P. A. & Rose, G. (2002). Encouraging Citizen Adoption of eGovernment by Building Trust. Electronic Markets, 12(3), 157-162.
[63] Colesca S. (2007). The main factors of on-line trust, Economia. Seria Management, ASE Publishing House, 10(2), 27-37.
Author Information
  • Department of Public Administration, School of Management, Harbin Institute of Technology, Harbin, China

  • Department of Public Administration, School of Management, Harbin Institute of Technology, Harbin, China

  • Department of Public Administration, School of Management, Harbin Institute of Technology, Harbin, China

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  • APA Style

    Isaac Kofi Mensah, Piankova Vera, Mi Jianing. (2017). Predictors of E-government Services Adoption: A Case Study of Russian Students in China. International Journal of Management and Fuzzy Systems, 3(5), 67-74. https://doi.org/10.11648/j.ijmfs.20170305.12

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    Isaac Kofi Mensah; Piankova Vera; Mi Jianing. Predictors of E-government Services Adoption: A Case Study of Russian Students in China. Int. J. Manag. Fuzzy Syst. 2017, 3(5), 67-74. doi: 10.11648/j.ijmfs.20170305.12

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    Isaac Kofi Mensah, Piankova Vera, Mi Jianing. Predictors of E-government Services Adoption: A Case Study of Russian Students in China. Int J Manag Fuzzy Syst. 2017;3(5):67-74. doi: 10.11648/j.ijmfs.20170305.12

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  • @article{10.11648/j.ijmfs.20170305.12,
      author = {Isaac Kofi Mensah and Piankova Vera and Mi Jianing},
      title = {Predictors of E-government Services Adoption: A Case Study of Russian Students in China},
      journal = {International Journal of Management and Fuzzy Systems},
      volume = {3},
      number = {5},
      pages = {67-74},
      doi = {10.11648/j.ijmfs.20170305.12},
      url = {https://doi.org/10.11648/j.ijmfs.20170305.12},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ijmfs.20170305.12},
      abstract = {Electronic government is the use of Information and Communication Technologies in the public administration processes to provide better public services to citizens and the general public. The adoption of e-government services is vital for the success of e-government projects. The purpose of this study is to investigate factors influencing the Russian students in China willingness to adopt and use e-government services. Predictors such as perceived usefulness, perceived ease of use, perceived service quality, citizen trust and language barrier would be explored. The Technology Acceptance Model would be used as the theoretical framework for the study. The questionnaire instruments would be administered to 500 Russian students in the City of Harbin. The data gathered would be captured and analyzed with SPSS while a further analysis would be conducted using the Structural Equation Model (SEM). Based on the data analysis, appropriate recommendations would be offered to improve public service delivery through e-government not only to Chinese citizens but foreign nationals who reside in China as well.},
     year = {2017}
    }
    

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    T1  - Predictors of E-government Services Adoption: A Case Study of Russian Students in China
    AU  - Isaac Kofi Mensah
    AU  - Piankova Vera
    AU  - Mi Jianing
    Y1  - 2017/10/31
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    N1  - https://doi.org/10.11648/j.ijmfs.20170305.12
    DO  - 10.11648/j.ijmfs.20170305.12
    T2  - International Journal of Management and Fuzzy Systems
    JF  - International Journal of Management and Fuzzy Systems
    JO  - International Journal of Management and Fuzzy Systems
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    PB  - Science Publishing Group
    SN  - 2575-4947
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    AB  - Electronic government is the use of Information and Communication Technologies in the public administration processes to provide better public services to citizens and the general public. The adoption of e-government services is vital for the success of e-government projects. The purpose of this study is to investigate factors influencing the Russian students in China willingness to adopt and use e-government services. Predictors such as perceived usefulness, perceived ease of use, perceived service quality, citizen trust and language barrier would be explored. The Technology Acceptance Model would be used as the theoretical framework for the study. The questionnaire instruments would be administered to 500 Russian students in the City of Harbin. The data gathered would be captured and analyzed with SPSS while a further analysis would be conducted using the Structural Equation Model (SEM). Based on the data analysis, appropriate recommendations would be offered to improve public service delivery through e-government not only to Chinese citizens but foreign nationals who reside in China as well.
    VL  - 3
    IS  - 5
    ER  - 

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