Evaluating the Current Situation of Mobile Services (M-Services) in the Kingdom of Saudi Arabia

  • Abdullah Mohammed Baabdullah
  • Ali Abdallah Alalwan
  • Naim Salameh Al Qadi
Chapter
Part of the Advances in Theory and Practice of Emerging Markets book series (ATPEM)

Abstract

The main aim of this study is to provide further understanding about the adoption of mobile services (mobile Internet and mobile government) over the context of Saudi Arabia. Through a careful evaluation of the current situation of mobile services in Saudi Arabia, researchers have noticed that the lower adoption of these services is the main barrier that could prevent citizens and service providers the full utilisation of these applications. It was also noticed that the related issues of mobile services have been rarely examined in Saudi Arabia as well as there is a necessity to select a theoretical foundation suitable for the perspective of Saudi customers. Therefore, the unified theory of acceptance and use of technology (UTAUT2) was adopted to propose the conceptual model of the current study. This is expanded by considering trust and awareness alongside UTAUT2 factors. Further, it was proposed that a survey questionnaire could be more appropriate to test the conceptual model and verify the research hypotheses. The main limitations and future research directions are discussed further in the last section of this study.

Keywords

Mobile services Mobile Internet Mobile government Saudi Arabia UTAUT2 

References

  1. Abanumy, A., & Mayhew, P. (2005). M-government implications for e-government in developing countries: The case of Saudi Arabia. EURO mGOV, 2005, 1–6.Google Scholar
  2. Ahmad, T., Ansari, A. A., Akhtar, A., & Parveen, S. (2014). Current review of ICT and m-government services in Saudi Arabia. International Journal of Computer and Engineering Applications, 7(2):71–77.Google Scholar
  3. Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99–110.CrossRefGoogle Scholar
  4. Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., Lal, B., & Williams, M. D. (2015). Consumer adoption of internet banking in Jordan: Examining the role of hedonic motivation, habit, self-efficacy and trust. Journal of Financial Services Marketing, 20(2), 145–157.CrossRefGoogle Scholar
  5. Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Williams, M. D. (2016). Consumer adoption of mobile banking in Jordan: Examining the role of usefulness, ease of use, perceived risk and self-efficacy. Journal of Enterprise Information Management, 29(1), 118–139.CrossRefGoogle Scholar
  6. 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.CrossRefGoogle Scholar
  7. Alenezi, H., Tarhini, A., Masa'deh, R. E., Alalwan, A., & Al-Qirim, N. (2017). Factors affecting the adoption of e-government in Kuwait: A qualitative study. Electronic Journal of e-Government, 15(2), 84–102.Google Scholar
  8. Alhussain, T. O. M., & Drew, S. (2010). Towards secure m-gov applications: A survey study in the Kingdom of Saudi Arabia. In International conference on intelligent network and computing (ICINC 2010). IEEE. 26th to 28th November 2010 Kuala Lumpur, MalaysiaGoogle Scholar
  9. Alhussain, T. O. M., & Drew, S. (2012). Developing a theoretical framework for the adoption of biometrics in m-gov applications using grounded theory. INTECH Open Access Publisher. London, UKGoogle Scholar
  10. Alhussain, T. O. M., Drew, S., & Von Hellens, L. A. (2010). Qualitative study on implementing biometric technology in m-gov security: A grounded theory approach. In 5th international conference on qualitative research in IT and IT in qualitative research (QuallT2010). QUT, Griffith University and ANU. QualIT 2010 - Brisbane, QLD, Australia Duration: 29 Nov 2010 - 30 Nov 2010Google Scholar
  11. Al-Khalifa, H. S. (2011). Development of m-gov websites: A functional design approach. In Proceedings of the 13th international conference on information integration and web-based applications and services (pp. 455–458). ACM. 5-7 December 2011 Ho Chi Minh City, VietnamGoogle Scholar
  12. Almutairi, M. S. (2011). M-gov: Challenges and key success factors. Saudi Arabia case study. In M. Almutairi & L. A. Mohammed (Eds.), Cases on ICT utilization, practice and solutions: Tools for managing day-to-day issues (pp. 78–96). Hershey, PA: IGI Global.CrossRefGoogle Scholar
  13. Alsenaidy, A., & Ahmad, T. (2012). A review of current state m-Gov in Saudi Arabia. Department of Biochemistry, King Saudi University. Hang Tuah Jaya, Melaka.Google Scholar
  14. Al-Solbi, A., & Mayhew, P. J. (2005). Measuring e-readiness assessment in Saudi organisations preliminary results from a survey study from e-government to m-government (pp. 467–475). Brighton, UK: Mobile Government Consortium International LLC.Google Scholar
  15. Alwahaishi, S., & Snášel, V. (2013a). Acceptance and use of information and communications technology: A UTAUT and flow-based theoretical model. Journal of Technology Management and Innovation, 8(2), 61–73.CrossRefGoogle Scholar
  16. Alwahaishi, S., & Snášel, V. (2013b). Factors influencing the consumers’ adoption of mobile Internet. In the third international conference on digital information and communication technology and its applications (DICTAP2013) (pp. 31–39). The Society of Digital Information and Wireless Communication. 8th to 10th July 2013 OStrava, Czech RepublicGoogle Scholar
  17. Alwahaishi, S., & Snášel, V. (2013c). Modeling the determinants influencing the diffusion of mobile internet. Journal of Physics: Conference Series, 423(1), 012037. IOP Publishing.Google Scholar
  18. Baabdullah, A. M., Alalwan, A. A., Rana, N. P., Dwivedi, Y., & Weerakkody, V. (2017). Assessing consumers’ intention to adopt mobile internet services in the Kingdom of Saudi Arabia. Boston, MS: AMCIS.Google Scholar
  19. Baabdullah, A. M., Dwivedi, Y. K., & Williams, M. D. (2015a). Understanding the adoption of mobile internet in the Saudi Arabian context: Results from a descriptive analysis. Open and Big Data Management and Innovation (pp. 95–106). Cham, Switzerland: Springer International Publishing.Google Scholar
  20. Baabdullah, A. M., Dwivedi, Y. K., & Williams, M. D. (2015b). Towards examining factors influencing the adoption of mobile government (m-Gov) in Saudi Arabia. InBritish Academy of management (BAM) conference proceedings, 08th–10th September 2014. Portsmouth, UK: University of Portsmouth.Google Scholar
  21. Baabdullah, A. M., Nasseef, O., & Alalwan, A. A. (2016). Consumer adoption of mobile government in the Kingdom of Saudi Arabia: The role of usefulness, ease of use, perceived risk and innovativeness. InConference on e-Business, e-Services and e-Society (pp. 267–279). Cham, Switzerland: Springer International Publishing.Google Scholar
  22. Bhattacherjee, A. (2012). Social science research: Principles, methods, and practices (2nd ed.). Tampa, FL: Anol Bhattacherjee.Google Scholar
  23. Chong, A. Y. L., Ooi, K. B., Lin, B., & Bao, H. (2012). An empirical analysis of the determinants of 3G adoption in China. Computers in Human Behavior, 28(2), 360–369.CrossRefGoogle Scholar
  24. Communications and Information Technology Commission CITC. (2007). Available on: http://www.citc.gov.sa/ english/Pages/default.aspx. Accessed 19 Feb 2016.
  25. Das, C. (2011). A study on validity of modified technology acceptance model of mobile. Nagpur, India: RTM Nagpur University.Google Scholar
  26. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003.CrossRefGoogle Scholar
  27. Dwivedi, Y. K., Rana, N. P., Janssen, M., Lal, B., Williams, M. D., and Clement, R. M. (2017). An empirical validation of a unified model of electronic government adoption (UMEGA). Government Information Quarterly. Available at http://www.sciencedirect.com/science/article/pii/ S0740624X1730103X CrossRefGoogle Scholar
  28. Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., and Williams, M. D (2017). Re-examining the unified theory of acceptance and use of technology (UTAUT): Towards a revised theoretical model. Information Systems Frontiers. Available at https://link.springer.com/article/10.1007/s10796-017-9774-y
  29. Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51–90.CrossRefGoogle Scholar
  30. Hailin, S. (2010). Mobile Internet experience research – Based on TAM. In E-Product E-Service and E-Entertainment (ICEEE), 2010 international conference on (pp. 1–4). IEEE. 07 Nov - 09 Nov 2010 Henan, ChinaGoogle Scholar
  31. Hong, S., Thong, J. Y., & Tam, K. Y. (2006). Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet. Decision Support Systems, 42(3), 1819–1834.CrossRefGoogle Scholar
  32. Hsu, H. H., Lu, H. P., & Hsu, C. L. (2007). Adoption of the mobile internet: An empirical study of multimedia message service (MMS). Omega, 35(6), 715–726.CrossRefGoogle Scholar
  33. Kapoor, K. K., Dwivedi, Y. K., & Williams, M. D. (2014a). Innovation adoption attributes: A review and synthesis of research findings. European Journal of Innovation Management, 17(3), 327–348.CrossRefGoogle Scholar
  34. Kapoor, K. K., Dwivedi, Y. K., & Williams, M. D. (2014b). Rogers’ innovation adoption attributes: A systematic review and synthesis of existing research. Information Systems Management, 31(1), 74–91.CrossRefGoogle Scholar
  35. Kapoor, K. K., Dwivedi, Y. K., & Williams, M. D. (2014c). The interbank mobile payment acceptance in an Indian context. International Journal of Indian Culture and Business Management, 8(4), 473–494.CrossRefGoogle Scholar
  36. Kapoor, K. K., Dwivedi, Y. K., & Williams, M. D. (2014d). Conceptualizing the role of innovation-attributes for examining consumer adoption of mobile innovations. The Marketing Review, 14(4), 407–430.CrossRefGoogle Scholar
  37. Kapoor, K. K., Dwivedi, Y. K., & Williams, M. D. (2015a). Examining the role of three sets of innovation attributes for determining adoption of the interbank mobile payment service. Information Systems Frontiers, 17(5), 1039–1056.CrossRefGoogle Scholar
  38. Kapoor, K. K., Dwivedi, Y. K., & Williams, M. D. (2015b). An empirical examination of the role of three sets of innovation attributes for determining adoption of the IRCTC mobile ticketing service. Information Systems Management, 32(2), 153–173.CrossRefGoogle Scholar
  39. Orlikowski, W., & Baroudi, J. J. (1991). Studying information technology in organizations: Research approaches and assumptions. Information Systems Research, 2(1), 1–28.CrossRefGoogle Scholar
  40. Pedersen, P. E. (2005). Adoption of mobile internet services: An exploratory study of mobile commerce early adopters. Journal of Organizational Computing and Electronic Commerce, 15(3), 203–222.CrossRefGoogle Scholar
  41. Rana, N. P., Dwivedi, Y. K., Lal, B., Williams, M. D., & Clement, M. (2017). Citizens’ adoption of an electronic government system: Towards a unified view. Information Systems Frontiers, 19(3), 549–568.CrossRefGoogle Scholar
  42. Rana, N. P., Dwivedi, Y. K., Williams, M. D., & Weerakkody, V. (2016). Adoption of online public grievance redressal system in India: Toward developing a unified view. Computers in Human Behavior, 59, 265–282.CrossRefGoogle Scholar
  43. Remenyi, D., Williams, B., Money, A., & Swartz, E. (1998). Doing research in business and management: An introduction to process and method. London, UK: Sage Publications Ltd..CrossRefGoogle Scholar
  44. Shareef, M. A., Kumar, U., Kumar, V., & Dwivedi, Y. K. (2011). E-government adoption model (GAM): Differing service maturity levels. Government Information Quarterly, 28(1), 17–35.CrossRefGoogle Scholar
  45. Shi, W., Wu, P. & Zhou, W., Chen, J. (2009). Gender differences in purchase intention on mobile data services. In computational sciences and optimization, 2009.CSO 2009. International joint conference on (Vol. 1, pp. 773–777). IEEE. Sanya, Hainan, China, 24–26 April 2009Google Scholar
  46. STC Group. (2011). Saudi telecom company annual report. Available on: https://www.stc.com.sa/wps/wcm/connect/english/stc/resources/e/8/e82a0cad-43ca-4b7b-ab5c-50d333c77b88/AnnualReport-2011-en.pdf. Accessed 19 Feb 2016.
  47. Straub, D., Boudreau, M. C., & Gefen, D. (2004). Validation guidelines for IS positivist research. The. Communications of the Association for Information Systems, 13(1), 63.Google Scholar
  48. Van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28, 695–704.CrossRefGoogle Scholar
  49. 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.CrossRefGoogle Scholar
  50. Venkatesh, V., Thong, J., & 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.Google Scholar
  51. Wang, H. Y., & Wang, S. H. (2010). User acceptance of mobile internet based on the unified theory of acceptance and use of technology: Investigating the determinants and gender differences. Social Behavior and Personality: An International Journal, 38(3), 415–426.CrossRefGoogle Scholar
  52. Weidong, T., Keyi, W., Linlin, L. Likun, X. (2009). Study on consumer behavior of wireless music. In Management and service science, 2009.MASS'09. International conference on (pp. 1–6). IEEE.Google Scholar
  53. Yfantis, V., Vassilopoulou, K., Pateli, A., & Usoro, A. (2013). The influential factors of m-gov’s adoption in the developing countries. InMobile web and information systems (pp. 157–171). Berlin/Heidelberg, Germany: Springer.CrossRefGoogle Scholar
  54. Zhang, J., Huang, J., & Chen, J. (2010). Empirical research on user acceptance of mobile searches. Tsinghua Science and Technology, 15(2), 235–245.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Abdullah Mohammed Baabdullah
    • 1
  • Ali Abdallah Alalwan
    • 2
  • Naim Salameh Al Qadi
    • 2
  1. 1.Department of Management Information Systems, Faculty of Economics and Administration, King Abdulaziz UniversityJeddahSaudi Arabia
  2. 2.Amman University College for Financial & Administrative Sciences, Al-Balqa′ Applied UniversitySaltJordan

Personalised recommendations