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An Empirical Study of the Factors Affecting Mobile Social Network Service Use

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New Perspectives in Information Systems and Technologies, Volume 1

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 275))

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Abstract

This research analyses the application of Mobile Social Network Services (MSNSs) in regard to their nature of being new ICT (Information and Communication Technology) tools. It is recognised that MSNSs are fast, responsive technologies centred on facilitating mobile commerce. This research aims to identify a number of the factors impacting MSNSs acceptance and usage in the context of the Kingdom of Saudi Arabia. In an attempt to achieve sound insight into the market of Saudi Arabia in relation to mobile communication, which is recognised as being a very valuable sector, a survey was carried out targeting a sample of 363 citizens, with a suggested conceptual model based on the UTAUT framework tested. The findings of this study indicate that performance expectancy is the most important offsetting element, with final cost and effort expense following subsequently. Nevertheless, social influence is not impacted in regard to the intention to utilise MSNSs.

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References

  1. Kourouthanassis, P.E., Giaglis, G.M.: Introduction to the Special Issue Mobile Commerce: The Past, Present, and Future of Mobile Commerce Research. International Journal of Electronic Commerce 16(4), 5–18 (2012)

    Article  Google Scholar 

  2. Mohan, S., Agarwal, N., Dutta, A.: Social Networks Meet Mobile Networks. IEEE Communications Magazine 50, 72–73 (2012)

    Google Scholar 

  3. CITC. The ICT Sector in the Kingdom of Saudi Arabia (2011)

    Google Scholar 

  4. De Vere, K.: Google study finds affluent Middle East countries among most enthusiastic smartphone users (2012), http://www.insidemobileapps.com/2012/05/23/google-study-finds-affluent-middle-east-countries-among-most-enthusiastic-smartphone-users/ (accessed November 26, 2012)

  5. Crum, C.: Google Analyzes How People Use Smartphones In Different Countries (2012), http://www.webpronews.com/google-analyzes-how-people-use-smartphones-in-different-countries-2012-05 (accessed November 26, 2012)

  6. Alkhunaizan, A., Love, S.: Effect of Demography on Mobile Commerce Frequency of Actual Use in Saudi Arabia. In: Rocha, Á., Correia, A.M., Wilson, T., Stroetmann, K.A. (eds.) Advances in Information Systems and Technologies. AISC, vol. 206, pp. 125–131. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  7. McCarra, D.: Facebook by the numbers: 845 million users sharing 100 billion friendships (2012)

    Google Scholar 

  8. Mike, S.: WhatsApp has over 200 million monthly users (2013), http://www.androidauthority.com/whatsapp-reached-200-million-user-milestone-191910/ (accessed April 18, 2013)

  9. BBC. Facebook posts loss despite 32% rise in revenues (2012), http://www.bbc.co.uk/news/business-20051654 (accessed November 30, 2012)

  10. Emarketer. Twitter Forecast Up After Strong Mobile Showing (2013), http://www.emarketer.com/Article/Twitter-Forecast-Up-After-Strong-Mobile-Showing/1009763 (accessed April 22, 2013)

  11. Min, Q., Ji, S., Qu, G.: Mobile commerce user acceptance study in China: a revised UTAUT model. Tsinghua Science & Technology 13(3), 257–264 (2008)

    Article  Google Scholar 

  12. Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: Toward a unified view. MIS Quarterly, 425–478 (2003)

    Google Scholar 

  13. Van der Heijden, H.: User acceptance of hedonic information systems. MIS Quarterly, 695–704 (2004)

    Google Scholar 

  14. Dulle, F.W., Minishi-Majanja, M.: The suitability of the Unified Theory of Acceptance and Use of Technology [UTAUT] model in open access adoption studies. Information Development 27(1), 32 (2011)

    Article  Google Scholar 

  15. Al-Shafi, S., Weerakkody, V.: Factors affecting e-government adoption in the state of Qatar (2010)

    Google Scholar 

  16. Al-Shafi, S., Weerakkody, V.: The use of wireless internet parks to facilitate adoption and diffusion of e-government services: an empirical study in Qatar (2008)

    Google Scholar 

  17. Kim, S., Garrison, G.: Investigating mobile wireless technology adoption: An extension of the technology acceptance model. Inf. Syst. Front. 11(3), 323–333 (2009)

    Article  Google Scholar 

  18. Shin, D.H.: Towards an understanding of the consumer acceptance of mobile wallet. Comput. Hum. Behav. 25(6), 1343–1354 (2009)

    Article  Google Scholar 

  19. Kuo, Y.F., Yen, S.N.: Towards an understanding of the behavioral intention to use 3G mobile value-added services. Comput. Hum. Behav. 25(1), 103–110 (2009)

    Article  Google Scholar 

  20. Wei, T.T., Marthandan, G., Chong, A.Y.L., Ooi, K.B., Arumugam, S.: What drives Malaysian m-commerce adoption? An empirical analysis. Industrial Management & Data Systems 109(3), 370–388 (2009)

    Article  Google Scholar 

  21. Bhatti, T.: Exploring factors influencing the adoption of mobile commerce. J. Internet Banking Commerce 12(3), 1–13 (2007)

    Google Scholar 

  22. Herrero Crespo, Á., Rodríguez del Bosque, I.: The effect of innovativeness on the adoption of B2C e-commerce: A model based on the Theory of Planned Behaviour. Comput. Hum. Behav. 24(6), 2830–2847 (2008)

    Article  Google Scholar 

  23. Lu, J., Liu, C., Yu, C.S., Wang, K.: Determinants of accepting wireless mobile data services in China. Information & Management 45(1), 52–64 (2008)

    Article  Google Scholar 

  24. Chong, A.Y.L.: Predicting m-commerce adoption determinants: A neural network approach. Expert Syst. Appl. (2012)

    Google Scholar 

  25. Chong, A.Y.L., Chan, F.T.S., Ooi, K.: Predicting consumer decisions to adopt mobile commerce: Cross country empirical examination between China and Malaysia. Decis. Support Syst (2011)

    Google Scholar 

  26. Wu, J.H., Wang, S.C.: What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model. Information & Management 42(5), 719–729 (2005)

    Article  Google Scholar 

  27. Ajzen, I.: The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50(2), 179–211 (1991)

    Article  Google Scholar 

  28. Venkatesh, V., Brown, S.A.: A longitudinal investigation of personal computers in homes: Adoption determinants and emerging challenges. MIS Quarterly, 71–102 (2001)

    Google Scholar 

  29. Irani, Z., Dwivedi, Y., Williams, M.D.: Understanding consumer adoption of broadband: an extension of the technology acceptance model. J. Oper. Res. Soc. 60(10), 1322–1334 (2008)

    Article  Google Scholar 

  30. Kwon, O., Wen, Y.: An empirical study of the factors affecting social network service use. Comput. Hum. Behav. 26(2), 254–263 (2010)

    Article  Google Scholar 

  31. Suki, N.M., Ramayah, T., Ly, K.K.: Empirical investigation on factors influencing the behavioral intention to use Facebook. Universal Access in the Information Society 11(2), 223–231 (2012)

    Article  Google Scholar 

  32. Wang, H.Y., Wang, S.H.: Predicting mobile hotel reservation adoption: insight from a perceived value standpoint. International Journal of Hospitality Management 29(4), 598–608 (2010)

    Article  Google Scholar 

  33. Lewis, P., Saunders, M.N.K., Thornhill, A.: Research methods for business students. Pearson (2009)

    Google Scholar 

  34. Calculating, interpreting, and reporting Cronbach’s alpha reliability coefficient for Likert-type scales. In: Midwest Research to Practice Conference in Adult, Continuing, and Community Education (2003)

    Google Scholar 

  35. Robinson, J.P., Wrightsman, L.S., Andrews, F.: Measures of personality and social psychological attitudes. Academic Pr. (1991)

    Google Scholar 

  36. Sekaran, U. (ed.): Research Methods For Business: A Skill Building Approach, 3rd edn. John Wiley and Sons Inc. (2000)

    Google Scholar 

  37. Hinton, P.R., Brownlow, C.: SPSS explained. Theatre Arts Books (2004)

    Google Scholar 

  38. Straub, D., Boudreau, M., Gefen, D.: Validation guidelines for IS positivist research. Communications of the Association for Information Systems 13(24), 380–427 (2004)

    Google Scholar 

  39. Dwivedi, Y.K., Lal, B.: Socio-economic determinants of broadband adoption. Industrial Management & Data Systems 107(5), 654–671 (2007)

    Article  Google Scholar 

  40. Field, A.: Discovering statistics using SPSS. Sage Publications Limited (2009)

    Google Scholar 

  41. Wu, J.H., Wang, S.C.: What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model. Information & Management 42(5), 719–729 (2005)

    Article  Google Scholar 

  42. Luarn, P., Lin, H.H.: Toward an understanding of the behavioral intention to use mobile banking. Comput. Hum. Behav. 21(6), 873–891 (2005)

    Google Scholar 

  43. Al-Ghaith, W.A., Sanzogni, L., Sandhu, K.: Factors influencing the adoption and usage of online services in Saudi Arabia. The Electronic Journal of Information Systems in Developing Countries 40 (2010)

    Google Scholar 

  44. Al-Sobhi, F.: The roles of intermediaries in the adoption of e-government services in Saudi Arabia. School of Information Systems, Computing and Mathematics (2011)

    Google Scholar 

  45. Kurnia, S., Smith, S., Lee, H.: Consumers’ perception of mobile internet in Australia. e-Business Review 5(1), 19–32 (2006)

    Google Scholar 

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Correspondence to AbdulMohsin Alkhunaizan .

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Alkhunaizan, A., Love, S. (2014). An Empirical Study of the Factors Affecting Mobile Social Network Service Use. In: Rocha, Á., Correia, A., Tan, F., Stroetmann, K. (eds) New Perspectives in Information Systems and Technologies, Volume 1. Advances in Intelligent Systems and Computing, vol 275. Springer, Cham. https://doi.org/10.1007/978-3-319-05951-8_15

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  • DOI: https://doi.org/10.1007/978-3-319-05951-8_15

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05950-1

  • Online ISBN: 978-3-319-05951-8

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