Logo PTI
Polish Information Processing Society
Logo FedCSIS

Annals of Computer Science and Information Systems, Volume 22

Position Papers of the 2020 Federated Conference on Computer Science and Information Systems

A Novel Model of Adoption of M-Commerce in Saudi Arabia

, ,

DOI: http://dx.doi.org/10.15439/2020F200

Citation: Position Papers of the 2020 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 22, pages 2534 ()

Full text

Abstract. The market of Saudi Arabia offers considerable potential for the success of mobile commerce (m-commerce) technology. In this context, this study aims to investigate the factors that influence the intentions of Saudi citizens and firms to use m-commerce technology. This study paper advances the literature by proposing a novel model to investigate the motivations behind adopting m-commerce in Saudi Arabia. The model defines factors that influence both customer and provider intentions of adopting m-commerce. The paper also outlines the methodology to be followed to evaluate the proposed model.


  1. T.-P. Liang and C.-P. Wei, “Introduction to the special issue: Mobile commerce applications,” International journal of electronic commerce, vol. 8, no. 3, pp. 7–17, 2004.
  2. T. Natarajan, S. A. Balasubramanian, and D. L. Kasilingam, “Understanding the intention to use mobile shopping applications and its influence on price sensitivity,” Journal of Retailing and Consumer Services, vol. 37, pp. 8–22, 2017.
  3. A. Y.-L. Chong, F. T. Chan, and K.-B. Ooi, “Predicting consumer decisions to adopt mobile commerce: Cross country empirical examination between china and malaysia,” Decision Support Systems, vol. 53, no. 1, pp. 34 – 43, 2012. [Online]. Available: https://doi.org/10.1016/j.dss.2011.12.001
  4. L. Puspitasari and K. Ishii, “Digital divides and mobile internet in indonesia: Impact of smartphones,” Telematics and Informatics, vol. 33, no. 2, pp. 472–483, 2016. [Online]. Available: https://doi.org/10.1016/j.tele.2015.11.001
  5. A. A. Alalwan, A. M. Baabdullah, N. P. Rana, K. Tamilmani, and Y. K. Dwivedi, “Examining adoption of mobile internet in saudi arabia: Extending tam with perceived enjoyment, innovativeness and trust,” Technology in Society, vol. 55, pp. 100 – 110, 2018. [Online]. Available: https://doi.org/10.1016/j.techsoc.2018.06.007
  6. A. Puri-Mirza, “Smartphone penetration rate as share of the population in saudi arabia from 2017 to 2025,” https://www.statista.com/statistics/625436/smartphone-user-penetration-in-saudi-arabia/,publisher=Statista, note=Accessed: 05-08-2020, 2020.
  7. M. Alonazi, N. Beloff, and M. White, “Perceptions towards the adoption and utilization of m-government services: A study from the citizens’ perspective in saudi arabia,” in Information Technology for Management: Current Research and Future Directions. Springer, 2019, pp. 3–26.
  8. M. Nurunnabi, “Transformation from an oil-based economy to a knowledge-based economy in saudi arabia: the direction of saudi vision 2030,” Journal of the Knowledge Economy, vol. 8, no. 2, pp. 536–564, 2017. [Online]. Available: https://doi.org/10.1007/s13132-017-0479-8
  9. F. D. Davis, “A technology acceptance model for empirically testing new end-user information systems: Theory and results,” Ph.D. dissertation, Massachusetts Institute of Technology, 1985.
  10. V. Venkatesh, M. G. Morris, G. B. Davis, and F. D. Davis, “User acceptance of information technology: Toward a unified view,” MIS quarterly, pp. 425–478, 2003. [Online]. Available: https://doi.org/10.2307/30036540
  11. M. Fishbein and I. Ajzen, Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, Mass.; London: Addison-Wesley, 1975.
  12. F. J. Rondan-Cataluña, J. Arenas-Gaitán, and P. E. Ramı́rez-Correa, “A comparison of the different versions of popular technology acceptance models,” Kybernetes, 2015.
  13. G. Lala et al., “The emergence and development of the technology acceptance model (tam),” Marketing from Information to Decision, no. 7, pp. 149–160, 2014.
  14. M. AlQulaity and W. Bajaber, The Growth of E-Commerce in Saudi Arabia and Its Influence on Saudi Women. GRIN Verlag, 2015.
  15. H. Alfahl, L. Houghton, and L. Sanzogni, “Mobile commerce adoption in saudi organizations: A qualitative study,” Int. J. Enterp. Inf. Syst., vol. 13, no. 4, p. 31–57, Oct. 2017. [Online]. Available: https://doi.org/10.4018/IJEIS.2017100103
  16. E. Makki and L.-C. Chang, “Understanding the effects of social media and mobile usage on e-commerce: an exploratory study in saudi arabia,” International management review, vol. 11, no. 2, p. 98, 2015.
  17. A. Alkhunaizan and S. Love, “Predicting consumer decisions to adopt mobile commerce in saudi arabia.” in Proceedings of the Nineteenth Americas Conference on Information Systems,, August 2013, pp. 1–9.
  18. W. AlBalawi, I. Hidayat-ur Rehman et al., “The impacts of m-commerce on saudi banks,” Journal of Management and Strategy, vol. 7, no. 2, p. 1, 2016.
  19. L. Rajabion, “Critical factors for adoption of mobile commerce services,” International Journal of Business and Social Science, vol. 6, no. 12, pp. 26–35, 2015.
  20. L. AlSuwaidan and A. A. Mirza, “An investigation on user preferences of mobile commerce interface design in saudi arabia,” in Mobile Web Information Systems, I. Awan, M. Younas, X. Franch, and C. Quer, Eds. Cham: Springer International Publishing, 2014, pp. 275–285.
  21. M. R. Abbasi, M. A. Sarlak, A. Ghorbani, and H. A. Esfanjani, “Csfs of e-commerce admission in small and medium size enterprises (smes),” African Journal of Business Management, vol. 4, no. 16, p. 3480, 2010.
  22. E. Abu-Shanab and S. Haider, “Major factors influencing the adoption of m-government in jordan,” Electronic Government, an International Journal, vol. 11, no. 4, pp. 223–240, 2015.
  23. T. Ramayah and J. Ignatius, “Impact of perceived usefulness, perceived ease of use and perceived enjoyment on intention to shop online,” ICFAI Journal of Systems Management (IJSM), vol. 3, no. 3, pp. 36–51, 2005.
  24. A. B. Ozturk, A. Bilgihan, K. Nusair, and F. Okumus, “What keeps the mobile hotel booking users loyal? investigating the roles of self-efficacy, compatibility, perceived ease of use, and perceived convenience,” International Journal of Information Management, vol. 36, no. 6, pp. 1350–1359, 2016.
  25. F. D. Davis, R. P. Bagozzi, and P. R. Warshaw, “User acceptance of computer technology: a comparison of two theoretical models,” Management science, vol. 35, no. 8, pp. 982–1003, 1989.
  26. M. Reid and Y. Levy, “Integrating trust and computer self-efficacy with tam: An empirical assessment of customers' acceptance of banking information systems (bis) in jamaica,” The Journal of Internet Banking and Commerce, vol. 13, no. 3, pp. 1–18, 1970.
  27. A. Molla and P. S. Licker, “E-commerce systems success: An attempt to extend and respecify the delone and maclean model of is success.” J. Electron. Commerce Res., vol. 2, no. 4, pp. 131–141, 2001.
  28. A. Sambhanthan and A. Good, “Critical success factors for positive user experience in hotel websites: Applying herzberg’s two factor theory for user experience mod- eling,” International Journal of E-Services and Mobile Applications (IJESMA), vol. 5, no. 1, pp. 1–25, 2013.
  29. I. Brown and R. Jayakody, “B2c e-commerce success: A test and validation of a revised conceptual model,” The Electronic Journal Information Systems Evaluation, vol. 11, no. 3, pp. 167–184, 2008.
  30. D. Gefen, E. Karahanna, and D. W. Straub, “Trust and tam in online shopping: An integrated model,” MIS Q., vol. 27, no. 1, p. 51–90, Mar. 2003.
  31. D. H. McKnight and N. L. Chervany, “What trust means in e-commerce customer relationships: An interdisciplinary conceptual typology,” International journal of electronic commerce, vol. 6, no. 2, pp. 35–59, 2001.
  32. T. T. Wei, G. Marthandan, A. Y.-L. Chong, K.-B. Ooi, and S. Arumugam, “What drives malaysian m-commerce adoption? an empirical analysis,” Industrial management & data systems, 2009.
  33. A. N. H. Zaied, “Barriers to e-commerce adoption in egyptian smes,” International Journal of Information Engineering and Electronic Business, vol. 4, no. 3, p. 9, 2012.
  34. R. A. Saif-Ur-Rehman, “A study of barriers to e-commerce adoption among smes in malaysia,” University of Modern Sciences, vol. 1, no. 1, pp. 45–58, 2016.
  35. L. V. Huy and P. Filiatrault, “The adoption of e-commerce in smes in vietnam: a study of users and prospectors,” PACIS 2006 Proceedings, p. 74, 2006.
  36. A. N. Alkhaldi, “Adoption of mobile banking in saudi arabia: An empirical evaluation study,” International Journal of Managing Information Technology, vol. 8, no. 2, pp. 1–14, 2016.
  37. K. Dickersin, Y.-I. Min, and C. L. Meinert, “Factors influencing publication of research results: follow-up of applications submitted to two institutional review boards,” Jama, vol. 267, no. 3, pp. 374–378, 1992.
  38. P. Brauner, J. van Heek, and M. Ziefle, “Age, gender, and technology attitude as factors for acceptance of smart interactive textiles in home environments,” in Proceedings of the 3rd International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AgingWell, 2017.
  39. R. W. Berkowsky, J. Sharit, and S. J. Czaja, “Factors predicting decisions about technology adoption among older adults,” Innovation in aging, vol. 1, no. 3, p. igy002, 2017.
  40. G. Hofstede, Culture’s consequences: Comparing values, behaviors, institutions and organizations across nations. Sage publications, 2001.
  41. K. Leung, R. S. Bhagat, N. R. Buchan, M. Erez, and C. B. Gibson, “Culture and international business: Recent advances and their implications for future research,” Journal of international business studies, vol. 36, no. 4, pp. 357–378, 2005.
  42. S. Sunny, L. Patrick, and L. Rob, “Impact of cultural values on technology acceptance and technology readiness,” International Journal of Hospitality Management, vol. 77, pp. 89–96, 2019.
  43. M. Ali, V. Weerakkody, and R. El-Haddadeh, “The impact of national culture on e-government implementation: A comparison case study,” 2009.
  44. M. Alonazi, “Mgaum: a new framework for the mobile government service adoption in saudi arabia,” Ph.D. dissertation, University of Sussex, 2019.
  45. C. F. Maitland and J. M. Bauer, “National level culture and global diffusion: The case of the internet,” Culture, technology, communication: Towards an intercultural global village, pp. 87–128, 2001.
  46. J. Meng, K. M. Elliott, and M. C. Hall, “Technology readiness index (tri): Assessing cross-cultural validity,” Journal of International Consumer Marketing, vol. 22, no. 1, pp. 19–31, 2009.
  47. G. C. Moore and I. Benbasat, “Development of an instrument to measure the perceptions of adopting an information technology innovation,” Information systems research, vol. 2, no. 3, pp. 192–222, 1991.
  48. D. Gilbert, P. Balestrini, and D. Littleboy, “Barriers and benefits in the adoption of e-government,” International Journal of Public Sector Management, 2004.
  49. C. W. Phang, Y. Li, J. Sutanto, and A. Kankanhalli, “Senior citizens’ adoption of e-government: In quest of the antecedents of perceived usefulness,” in Proceedings of the 38th annual Hawaii international conference on system sciences. IEEE, 2005, pp. 130a–130a.
  50. L. L. Tung and O. Rieck, “Adoption of electronic government services among business organizations in singapore,” The Journal of Strategic Information Systems, vol. 14, no. 4, pp. 417–440, 2005.
  51. J. Fang, Z. Zhao, C. Wen, and R. Wang, “Design and performance attributes driving mobile travel application engagement,” International Journal of Information Management, vol. 37, no. 4, pp. 269 – 283, 2017. [Online]. Available: https://doi.org/10.1016/j.ijinfomgt.2017.03.003
  52. Y. Lu, T. Zhou, and B. Wang, “Exploring chinese users’ acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory,” Computers in human behavior, vol. 25, no. 1, pp. 29–39, 2009.
  53. E. M. Rogers, Diffusion of Innovations: Modifications of a Model for Telecommunications. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 25–38. [Online]. Available: https://doi.org/10.1007/978-3-642-79868-9_2
  54. Y. A. Kim and J. Srivastava, “Impact of social influence in e-commerce decision making,” in Proceedings of the ninth international conference on Electronic commerce, 2007, pp. 293–302.
  55. S. Z. Ahmad and K. Khalid, “The adoption of m-government services from the user’s perspectives: Em- pirical evidence from the united arab emirates,” International Journal of Information Management, vol. 37, no. 5, pp. 367–379, 2017.
  56. A. D. Beldad and S. M. Hegner, “Expanding the technology acceptance model with the inclusion of trust, social influence, and health valuation to determine the predictors of german users’ willingness to continue using a fitness app: A structural equation modeling approach,” International Journal of Human–Computer Interaction, vol. 34, no. 9, pp. 882–893, 2018.
  57. A. Azam, P. F. Qiang, and M. I. Abdullah, “Consumers’ e-commerce acceptance model: Antecedents of trust and satisfaction constructs,” in 2012 IEEE Business, Engineering & Industrial Applications Colloquium (BEIAC). IEEE, 2012, pp. 371–376.
  58. P. V. Hande, D. Ghosh et al., “A comparative study on factors shaping buying behaviour on b2b and b2c e-commerce platforms in india,” EXCEL International Journal of Multidisciplinary Management Studies, vol. 5, no. 3, pp. 1–10, 2015.
  59. Y.-S. Yen and F.-S. Wu, “Predicting the adoption of mobile financial services: The impacts of perceived mobility and personal habit,” Computers in Human Behavior, vol. 65, pp. 31–42, 2016.
  60. A. K. M. Almasri, “The influence on mobile learning based on technology acceptance model (tam), mobile readiness (mr) and perceived interaction (pi) for higher education students,” International Journal of Technical Research and Applications, vol. 2, no. 1, pp. 05–11, 2014.
  61. L.-d. Chen, “A model of consumer acceptance of mobile payment,” International Journal of Mobile Communications, vol. 6, no. 1, pp. 32–52, 2008.
  62. J. Wu, L. Liu, and L. Huang, “Consumer acceptance of mobile payment across time,” Industrial Management & Data Systems, 2017.
  63. ISO/IEC9126-1:2001, “Software engineering – product quality – part 1: Quality model,” International Organization for Standardization, Geneva, CH, Standard, Jun. 2001.
  64. J. D. Garofalakis, A. Stefani, V. Stefanis, and M. N. Xenos, “Quality attributes of consumer-based m-commerce systems.” in ICE-B, 2007, pp. 130–136.
  65. W. W. W. Consortium et al., “Mobile web best practices 1.0: Basic guidelines,” 2008.
  66. S. Alabi, M. White, and N. Beloff, “Contactless palm vein authentication security technique for better adoption of e-commerce in developing countries,” in Science and Information Conference. Springer, 2020, pp. 380–390.
  67. H. Zhang and S. C. Okoroafo, “An e-commerce key success factors framework for chinese sme exporters,” International Journal of Economics and Finance, vol. 6, no. 1, pp. 129–137, 2014.
  68. E. P. Hansel and R. A. A. Vianna, “E-commerce based payment system with authentication of electronic invoices,” May 19 2016, uS Patent App. 14/789,240.
  69. E. Makki and L.-C. Chang, “E-commerce acceptance and implementation in saudi arabia: previous, current and future factors,” The International Journal of Management Research and Business Strategy, vol. 4, no. 3, pp. 29–44, 2015.