Analyzing Factors Influencing Mobile Social Media Marketing Acceptance among Customers

Document Type : Original Article

Authors

1 Department of Information Technology, Faculty of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran

2 Science and Research Branch, Islamic Azad University, Tehran, Iran

Abstract

The purpose of this paper is to investigate the effective factors in accepting marketing through mobile social media by end users. The research method, is descriptive-survey and the research type is practical based on the research purpose. The statistical population of this study is the online customers of mobile phones from the Mobile Online website in 2019. Infinite population (384) was selected as statistical sample according to Cochran formula. Data collection was accomplished through questionnaire which involves 25 questions. The reliability of the questionnaire using Cronbach's alpha coefficient was 87%, which indicates an appropriate reliability. The results showed the importance of the effective factor of profitability on the attitude towards mobile marketing and the orientation towards mobile marketing on mobile marketing activities is significant.

Keywords

Main Subjects

References

  1. Ahn, T., Ryu, S. and Han, I., "The impact of web quality and playfulness on user acceptance of online retailing", Information & Management, Vol. 44, No. 3, (2007), 263-275, doi: 10.1016/j.im.2006.12.008.
  2. Hamidi, H., A combined fuzzy method for evaluating criteria in enterprise resource planning implementation, in Intelligent systems: Concepts, methodologies, tools, and applications. 2018, IGI Global.639-670.
  3. Boyd, D.M. and Ellison, N.B., "Social network sites: Definition, history, and scholarship", Journal of Computer‐mediated Communication, Vol. 13, No. 1, (2007), 210-230, doi: 10.1111/j.1083-6101.2007.00393.x.
  4. Daraei, A. and Hamidi, H., "An efficient predictive model for myocardial infarction using cost-sensitive j48 model", Iranian Journal of Public Health, Vol. 46, No. 5, (2017), 682, doi. http://ijph.tums.ac.ir/index.php/ijph/article/view/9918
  5. Verdery, A.M., Entwisle, B., Faust, K. and Rindfuss, R.R., "Social and spatial networks: Kinship distance and dwelling unit proximity in rural thailand", Social Networks, Vol. 34, No. 1, (2012), 112-127, doi: 10.1016/j.socnet.2011.04.003.
  6. Kim, J.K., Cho, Y.H., Kim, W.J., Kim, J.R. and Suh, J.H., "A personalized recommendation procedure for internet shopping support", Electronic Commerce Research and Applications, Vol. 1, No. 3-4, (2002), 301-313, doi: 10.1016/j.elerap.2012.04.002.
  7. Hamidi, H., Vafaei, A. and Monadjemi, S.A., "Analysis and design of an abft and parity-checking technique in high performance computing systems", Journal of Circuits, Systems, and Computers, Vol. 21, No. 03, (2012), 1250017, doi. https://doi.org/10.1142/S021812661250017X
  8. Kuan, H.-H., Bock, G.-W. and Vathanophas, V., "Comparing the effects of website quality on customer initial purchase and continued purchase at e-commerce websites", Behaviour & Information Technology, Vol. 27, No. 1, (2008), 3-16, doi: 10.1080/01449290600801959.
  9. Minarti, S.N. and Segoro, W., "The influence of customer satisfaction, switching cost and trusts in a brand on customer loyalty–the survey on student as im3 users in depok, indonesia", Procedia-Social and Behavioral Sciences, Vol. 143, (2014), 1015-1019, doi: 10.1016/j.sbspro.2014.07.546.
  10. Panasenko, N., "Czech and slovak family patterns and family values in historical, social and cultural context", Journal of Comparative Family Studies, Vol. 44, No. 1, (2013), 79-98, doi: 10.3138/jcfs.44.1.79.
  11. Overby, J.W. and Lee, E.-J., "The effects of utilitarian and hedonic online shopping value on consumer preference and intentions", Journal of Business Research, Vol. 59, No. 10-11, (2006), 1160-1166, doi: 10.1016/j.jbusres.2006.03.008.
  12. Sagone, E. and De Caroli, M.E., "The “portrait” of values in family: A cross-age study in sicilian context", Procedia-Social and Behavioral Sciences, Vol. 127, (2014), 194-198, doi: 10.1016/j.sbspro.2014.03.239.
  13. Sen, R., King, R.C. and Shaw, M.J., "Buyers' choice of online search strategy and its managerial implications", Journal of Management Information Systems, Vol. 23, No. 1, (2006), 211-238, doi: 10.2753/MIS0742-1222230107.
  14. Nilchi, A.N., Vafaei, A. and Hamidi, H., "Evaluation of security and fault tolerance in mobile agents", in 2008 5th IFIP International Conference on Wireless and Optical Communications Networks (WOCN'08), IEEE. (2008), 1-5.
  15. Torabi, A., Hamidi, H. and Safaie, N., "Effect of sensory experience on customer word-of-mouth intention, considering the roles of customer emotions, satisfaction, and loyalty", International Journal of Engineering, Transactions C: Aspects, Vol. 34, No. 3, (2021), 682-699, doi: 10.5829/ije.2021.34.03c.13.
  16. Sorce, P., Perotti, V. and Widrick, S., "Attitude and age differences in online buying", International Journal of Retail & Distribution Management, Vol. 33, No. 2, (2005), doi: 10.1108/09590550510581458.
  17. Shin, J.I., Chung, K.H., Oh, J.S. and Lee, C.W., "The effect of site quality on repurchase intention in internet shopping through mediating variables: The case of university students in south korea", International Journal of Information Management, Vol. 33, No. 3, (2013), 453-463, doi: 10.1016/j.ijinfomgt.2013.02.003.
  18. Scarpi, D., "Work and fun on the internet: The effects of utilitarianism and hedonism online", Journal of Interactive Marketing, Vol. 26, No. 1, (2012), 53-67, doi: 10.1016/j.intmar.2011.08.001.
  19. Sahin, A., Zehir, C. and Kitapçı, H., "The effects of brand experiences, trust and satisfaction on building brand loyalty; an empirical research on global brands", Procedia-Social and Behavioral Sciences, Vol. 24, (2011), 1288-1301, doi: 10.1016/j.sbspro.2011.09.143.
  20. Hamidi, H., Vafaei, A. and Monadjemi, S.A.H., "Analysis and evaluation of a new algorithm based fault tolerance for computing systems", International Journal of Grid and High Performance Computing, Vol. 4, No. 1, (2012), 37-51, doi: 10.4018/jghpc.2012010103.
  21. Yang, B., Kim, Y. and Yoo, C., "The integrated mobile advertising model: The effects of technology-and emotion-based evaluations", Journal of Business Research, Vol. 66, No. 9, (2013), 1345-1352, doi: 10.1016/j.jbusres.2012.02.035.
  22. Hamidi, H. and Safaie, N., "Effect of motivation, opportunity and ability on human resources information security management considering the roles of attitudinal, behavioral and organizational factors", International Journal of Engineering, Transactions C: Aspects, Vol. 34, No. 12, doi: 10.5829/ije.2021.34.12c.07.
  23. Tsai, H.-T. and Huang, H.-C., "Determinants of e-repurchase intentions: An integrative model of quadruple retention drivers", Information & Management, Vol. 44, No. 3, (2007), 231-239, doi: 10.1016/j.im.2006.11.006.
  24. Yang, K. and Lee, H.J., "Gender differences in using mobile data services: Utilitarian and hedonic value approaches", Journal of Research in Interactive Marketing, (2010), doi: 10.1108/17505931011051678.
  25. Alvanchi, A., Didehvar, N., Jalilehvand, M., Adami, P. and Shahmir, S., "Semi-augmented reality, a novel approach to improve customer safety in the pre-sale process of under construction buildings", International Journal of Engineering, Transactions A: Basics, Vol. 34, No. 10, (2021), doi: 10.5829/ije.2021.34.10a.01.
  26. Mohammadi, S., Nikkhahan, B. and Sohrabi, S., "An analytical survey of" on-site customer" practice in extreme programming", in International Symposium on Computer Science and its Applications, IEEE. (2008), 1-6.
International Journal of Engineering
Volume 35, Issue 6
TRANSACTIONS C: Aspects
June 2022
Pages 1209-1216

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