An Empirical Investigation of Adopters’ Perceptions Toward M-Commerce: The Case of Bulgarian University Students

• Authors: Nora Milanova , Vaggelis Saprikis

Abstracts

EN

Mobile commerce (m-commerce) is a fact. Nowadays, numerous transactions take place via mobile devices. At the same time, m-commerce is considered as one of the fastest growing subgroups of e-commerce. Characteristically, it is estimated that about 45% of mobile users have made at least one purchase via a wireless hand-held device. Therefore, it plays and will continue to play a vital role in the global economy. The aim of this research paper is to investigate the perceptions of mobile commerce users focusing on Bulgarian University students. Specifically, it intends to reveal the perceived advantages and disadvantages of m-commerce, the factors that motivate students to make online transactions via a hand-held device, as well as the issues that hinder them from doing so more often. The paper is expected to provide tangible results to both academia and the industry about a developing economy.

Keywords

EN

mobile commerce; m-commerce intention; mobile shopping adoption

• Publisher: Uniwersytet Warszawski. Wydział Nauk Ekonomicznych
• Journal: Journal of Marketing and Consumer Behaviour in Emerging Markets
• Year: 2018
• Issue: 1(7)
• Pages: 66-83

Dates

published

2018

Contributors

author

Nora Milanova

• City College, International Faculty of the University of Sheffield, Thessaloniki, Greece

author

Vaggelis Saprikis

• Western Macedonia University of Applied Sciences, Department of Business Administration, Kozani, Greece

References

• Agrebia, S. & Jallaisb, J. (2015). Explain the intention to use smartphones for mobile shopping. Journal of Retailing and Consumer Services, 22(1), 16– 23. https://doi.org/10.1016/j.jretconser.2014.09.003
• Anderson, M. (2015). The demographics of device ownership. Pew Research Center Internet, Science & Tech. Retrieved from http://www.pewinternet.org/2015/10/29/the-demographics-of-device-ownership/ (21 April 2017).
• Chaffey, D. (2017). Mobile marketing statistics 2017. Smart Insights. Retrieved from http://www.smartinsights.com/mobile-marketing/mobile-marketing-analytics/mobile-marketing-statistics/ (28 Mar. 2017).
• Chang, J.M., Williams, J. & Hurlburt, F.G. (2014). Mobile commerce. IT Professional, 16(3), 4–5. https://doi.org/10.1109/MITP.2014.36
• Chen, Y., Yan, X., Fan, W., & Gordon, M. (2015). The joint moderating role of trust propensity and gender on consumers’ online shopping behavior. Computers in Human Behavior, 43(1), 272–283. https://doi.org/10.1016/j.chb.2014.10.020
• Chong, A. (2013). Mobile commerce usage activities: The roles of demographic and motivation variables. Technological Forecasting and Social Change, 80(7), 1350–1359. https://doi.org/10.1016/j.techfore.2012.12.011
• Chong, A. (2013). Predicting m-commerce adoption determinants: A neural network approach. Expert Systems with Applications, 40(2), 523–530. https://doi.org/10.1016/j.eswa.2012.07.068
• Ciprian, P. & Vlad, F. (2016). Trends in the evolution of mobile commerce.
• Davis, F. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 13, 319–340. https://doi.org/10.2307/249008
• Dužević, I., Delić, M., & Knežević, B. (2016). Customer satisfaction and loyalty factors of Mobile Commerce among young retail customers in Croatia. Gestão e Sociedade, 10(27), 1476. https://doi.org/10.21171/ges.v10i27.2129
• Eastin, M.S., Brinson, N.H., Doorey, A., & Wilcox, G. (2016). Living in a big data world: Predicting mobile commerce activity through privacy concerns. Computers in Human Behavior, 58, 214–220. https://doi.org/10.1016/j.chb.2015.12.050
• Ecommerce News. (2016). Mobile shopping behaviors in Europe. Retrieved from https://ecommercenews.eu/mobileshopping-behaviors-europe/ (22 Aug. 2017).
• Eurostat.com. (2016). Tables, Graphs and Maps Interface (TGM) table. Individuals using mobile devices to access the internet on the move. Ec.europa.eu. Retrieved from http://ec.europa.eu/eurostat/tgm/refreshTableAction.do?tab=table&plugin=1&p code=tin00083&language=en (16 Feb. 2017).
• Faqih, K. & Jaradat, M. (2015). Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective. Journal of Retailing and Consumer Services, 22, 37–52. https://doi.org/10.1016/j.jretconser.2014.09.006
• Gao, Y., Li, L., & Yang, Y. (2014). Application of smart phone in mobile commerce and development tendency. Information Technology Journal, 13(6), 1054–1061. https://doi.org/10.3923/itj.2014.1054.1061
• Georgiadis, C.K. & Stergiopoulou, S.H. (2008). Mobile commerce application development: Implementing personalized services. 7th International Conference on Mobile Business, 201–210. https://doi.org/10.1109/ICMB.2008.35
• Grigorova, K. (2015). Growth in mobile commerce and online sales. Hillman, S. & Neustaedter, C. (2017). Trust and mobile commerce in North America. Computers in Human Behavior, 70, 10–21. https://doi.org/10.1016/j.chb.2016.12.061
• Hitt, L. & Frei, F. (2002). Do better customers utilize electronic distribution channels? The case of PC banking. Management Science, 48(6), 732–748. https://doi.org/10.1287/mnsc.48.6.732.188
• Hsi-Peng, L. & Su, P. (2009). Factors affecting purchase intention on mobile shopping web sites. Internet Research, 19(4), 442–458. https://doi.org/10.1108/10662240910981399
• IAB (Interactive Advertising Bureau). (2014). VI study IAB Spain about mobile marketing. Retrieved from www.iabspainnet/wp-content/uploads/downloads/2014/09/VI_Estudio_Anual_Mobile_Marketing_ve rsion_abierta1.pdf (19 Aug. 2017).
• Jimenez, N., San-Martin, S., & Azuela, J.I. (2016). Trust and satisfaction: The keys to client loyalty in mobile commerce. Academia Revista Latinoamericana de Administración, 29(4), 486–510. https://doi.org/10.1108/ARLA-12-2014-0213
• Khare, A. & Sadachar, A. (2014). Collective self-esteem and online shopping attitudes among college students: Comparison between the U.S. and India. Journal of International Consumer Marketing, 26(2), 106–121.https://doi.org/10.1080/08961530.2014.878203
• Lancaster, H. (2016). Bulgaria – Mobile infrastructure, broadband, operators – Statistics and analyses. Budde.com.au. Retrieved from https://www.budde.com.au/Research/Bulgaria-Mobile-Infrastructure-Broadband- Operators-Statistics-and-Analyses (16 Feb. 2017).
• Liang, T.P. & Wei, C.P. (2004). Introduction to the special issue: Mobile commerce applications. International Journal of Electronic Commerce, 8(3), 7–17. https://doi.org/10.1080/10864415.2004.11044303
• Lu, H. & Su, P. (2009). Factors affecting purchase intention on mobile shopping web sites. Internet Research, 19(4),442–458. https://doi.org/10.1108/10662240910981399
• Mahatanankoon, P., Wen, H. J., & Lim, B. (2005). Consumer-based m-commerce: Exploring consumer perception of mobile applications. Computer Standards & Interfaces, 27(4), 347–357. https://doi.org/10.1016/j.csi.2004.10.003
• Maity, M. & Dass, M. (2014). Consumer decision-making across modern and traditional channels: E-commerce,m-commerce, in-store. Decision Support Systems, 61, 34–46. https://doi.org/10.1016/j.dss.2014.01.008
• Meola, A. (2017). The rise of m-commerce: Mobile shopping stats & trends. Business Insider. Retrieved from http://www.businessinsider.com/mobile-commerce-shopping-trends-stats-2016-10 (22 Feb. 2017).
• Min, Q., Ji, S., & Qu, G. (2008). Mobile commerce user acceptance study in China: A revised UTAUT model. Tsinghua Science & Technology, 13(3), 257–264. https://doi.org/10.1016/S1007-0214(08)70042-7
• Narang, B. & Arora, J. (2016). Present and future of mobile commerce: Introduction, comparative analysis of m commerce and e commerce, advantages, present and future. In S. Madan & J. Baatra Arora, Securing transactions and payment systems for m-commerce (pp. 1–16). IGI Global. https://doi.org/10.4018/978-15225-0236-4.ch015
• Nassuora, A. (2013). Understanding factors affecting the adoption of m-commerce by consumers. Journal of Applied Sciences, 13(6), 913–918. https://doi.org/10.3923/jas.2013.913.918
• OECD. (2013) Electronic and mobile commerce. OECD Digital Economy Papers, (228). Paris: OECD Publishing. Retrieved from http://dx.doi.org/10.1787/5k437p2gxw6g-en (16 Feb. 2017). https://doi.org/10.1787/5k437p2gxw6g-en
• Patil, P. (2017). Technological advancements and its impact on humanity. Academia.edu. Retrieved from http://www.academia.edu/346486/Technological_Advancements_and_Its_Imp act_on_Humanity (22 Aug. 2017).
• Ratcliff, Ch. (2015). 10 of the fi nest mobile ecommerce sites. Econsultancy. Retrieved from https://econsultancy.com/blog/66647-10-of-the-fi nest-mobile-ecommerce-sites/ (14 Jun. 2017).
• Rhee, K. & Kim, W. (2004). The adoption and use of the Internet in South Korea. Journal of Computer-Mediated Communication, 9(4). https://doi.org/10.1111/j.1083-6101.2004.tb00299.x
• San-Martín, S., Prodanova, J., & López Catalán, B. (2016). What makes services customers say “buy it with a mobile phone”? Journal of Services Marketing, 30(6), 601–614. https://doi.org/10.1108/JSM-02-2015-0081
• Saprikis, V. (2013). A longitudinal investigation on Greek University students’ perceptions toward online shopping. Journal of Electronic Commerce in Organizations, 11(1), 43–62. https://doi.org/10.4018/jeco.2013010103
• Saritas, O., Gokhberg, L., Bakhtin, P., & Kuzminov, I. (2016). Weak signals on the future of mobile commerce in Russia. National Research University of Higher School of Economic Research Paper Series, 1–17. https://doi.org/10.2139/ssrn.2857108
• Shang, D. & Wu, W. (2017). Understanding mobile shopping consumers’ continuance intention. Industrial Management & Data Systems, 117(1), 213–227. https://doi.org/10.1108/IMDS-02-2016-0052
• Shead, W., Derevensky, J., Fong, T., & Gupta, R. (2012). Characteristics of internet gamblers among a sample of students at a large, public University in Southwestern United States. Journal of College Student Development, 53(1), 133–148. https://doi.org/10.1353/csd.2012.0005
• Statista.com. (2016). Connected device usage rate in Bulgaria from2014 to 2016, by device. Statista Online Database.Retrieved from https://www.statista.com/statistics/346669/connected-device-usage-bulgaria/ (15 Feb. 2017).
• Tairov, I.L. (2014). Mobile commerce and its’ problems. Computerworld, (1), 96–109. Retrieved from http://computerworld.bg/47198_samo_rast_pri_mobilnata_targoviya_i_onlajn_ prodazhbite (19 Sep. 2017).
• Tavakol, M. & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd
• Tzvetkova, J. (2015). Bulgaria – Culture smart!: The essential guide to customs & culture. London: Kuperard.
• UNESCO UIS. (2017). ISCED fi elds of education and training 2013 (ISCED-F 2013). Retrieved from http://www.uis.unesco.org/Education/Documents/isced-fi elds-of-education-training-2013.pdf (17 Jun. 2017).
• Venkatesh, V., Morris, M.G., Davis, G.B., & Davis, F.D. (2003). User acceptance of information technology: Toward a unifi ed view. MIS Qarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
• Wang, R.J., Malthouse, E.C., & Krishnamurthi, L. (2015). On the go: How mobile shopping affects customer purchase behavior. Journal of Retailing, 91(2), 217–234. https://doi.org/10.1016/j.jretai.2015.01.002
• Yadav, R., Sharma, S.K., & Tarhini, A. (2016). A multi-analytical approach to understand and predict the mobile commerce adoption. Journal of Enterprise Information Management, 29(2), 222–237. https://doi.org/10.1108/ JEIM-04-2015-0034
• Yang, K. (2012). Consumer technology traits in determining mobile shopping adoption: An application of the extended theory of planned behavior. Journal of Retailing and Consumer Services, 19(50), 484–491. https:// doi.org/10.1016/j.jretconser.2012.06.003
• Zarmpou, T., Saprikis, V., Vlachopoulou, M., & Tsiotsou, R. (2010). Predicting the adoption of mobile transactions: An exploratory investigation in Greece.
• Zhang, J., Liu, Y., & Nie, L. (2009). A review for the risks and challenges of mobile commerce development. International Conference on E-Business and Information System Security, 1–4. https://doi.org/10.1109/ EBISS.2009.5137895
• Zhang, L., Zhu, J, & Liu, Q. (2012). A meta-analysis of mobile commerce adoption and the moderating effect of culture. Computers in Human Behavior, 28(5), 1902–1911. https://doi.org/10.1016/j.chb.2012.05.008
• Zickuhr, K. (2013) Tablet ownership 2013. Research Center Internet, Science & Tech. Retrieved from http://www.pewinternet.org/fi les/old-media/Files/Reports/2013/PIP_Tablet%20ownership%202013.pdf (21 April 2017).

Identifiers

DOI

10.7172/2449-6634.jmcbem.2018.1.4

Biblioteka Nauki

2012482