Contents |
Authors:
Radovan Bacik, ORCID: https://orcid.org/0000-0002-5780-3838 University of Presov in Presov (Slovakia) Beata Gavurova, ORCID: https://orcid.org/0000-0002-0606-879X Technical University of Kosice (Slovakia) Richard Fedorko, ORCID: https://orcid.org/0000-0003-3520-1921 University of Presov in Presov (Slovakia) Maria Olearova, ORCID: https://orcid.org/0000-0001-9086-7975 University of Presov in Presov (Slovakia)
Pages: 154-167
Language: English
DOI: https://doi.org/10.21272/mmi.2020.4-12
Download: |
Views: |
Downloads: |
|
|
|
Abstract
The paper deals with the investigation of the analysis that reveals the impact of digitalization as the development of new communication platforms, which are also changing the consumer’s purchasing behaviour in the online environment. The main goal of this research is to identify consumer preferences concerning the communication platforms of digital equipment for purchasing in the online environment. The study is focused primarily on smartphones, tablets, phablets, laptops, PDAs and desktops. The survey sample amounts to 414 respondents. The authors observed the differences in preferences on types of digital devices based on the sex, generations, the level of education of respondents and the frequency of the purchase. Methodological tools of this study are non-parametric tests and ordinal regression analysis. The analysis results stated that the most preferred device for the online purchase is the notebook as for males and so for females. Herewith, the authors did not find statistically significant gender differences. It is expected that the impact of innovation various changes in these preferences, especially in a change to use tablets and smartphones. The analysis has shown that people mostly purchase via the smartphone. Moreover, they are the customers with a higher frequency of purchases, and customers of generation X, which means that even the older consumers. The paper includes practical implications, particularly for business entities, for the reason that knowledge of the options leads to the right set of strategies and will follow the effective achievement of business aims. Businesses with the characteristics of an innovative and active entity have a much greater chance of becoming a prosperous company. These companies are able to respond flexibly to the values of those consumers who are using their digital devices. The ever-increasing global interest in digital shopping signals the urgent need to deepen knowledge of consumer behaviour.
Keywords: digital devices, E-commerce, online shopping, Slovakia, generation, regression analysis, non-parametric methods.
JEL Classification: M30, M31.
Cite as: Bacik, R., Gavurova, B., Fedorko, R., & Olearova, M. (2020). Using digital devices in the process of online shopping: a study of demographic differences. Marketing and Management of Innovations, 4, 154-167. https://doi.org/10.21272/mmi.2020.4-12
This work is licensed under a Creative Commons Attribution 4.0 International License
References
- Agrebi, S., & Jallais, J. (2015). Explain the intention to use smartphones for mobile shopping. Journal of retailing and consumer services, 22, 16-23. [Google Scholar] [CrossRef]
- Almeida, F., Almeida, J., & Mota, M. (2019). Perceptions and Trends of Booking Online Payments in Tourism. Journal of Tourism and Services, 10(18), 1-15. [Google Scholar] [CrossRef]
- Arsenault, P. M. (2004). Validating generational differences. Leadership & Organization Development Journal. [Google Scholar] [CrossRef]
- Bacík, R., Szabo, Z. K., & Fedorko, R. (2014). The Analytical Insight Into Customer Perception Of Quality Determinants Of The E-Commerce Model Business-To-Consumer Subjects In The Central European Countries. Quality Innovation Prosperity, 18(2), 15-26. [Google Scholar] [CrossRef]
- Bae, S., & Lee, T. (2011). Gender differences in consumers’ perception of online consumer reviews. Electronic Commerce Research, 11(2), 201-214. [Google Scholar] [CrossRef]
- Bang, Y., Han, K., Animesh, A., & Hwang, M. (2013, July). From Online to Mobile: Linking Consumers’ Online Purchase Behaviors with Mobile Commerce Adoption. In PACIS (p. 128). [Google Scholar]
- Bhasker, B. (2013). Electronic commerce: framework, technologies and applications. Tata McGraw-Hill Education. [Google Scholar]
- Chaffey, D. (2009). E-business and E-commerce management. Strategy, implementation and practice, Pearson Education, London.
- Chong, A. Y. L. (2013). Mobile commerce usage activities: The roles of demographic and motivation variables. Technological Forecasting and Social Change, 80(7), 1350-1359. [Google Scholar] [CrossRef]
- ComScore. (2017). Mobile Marketing Statistics compilation. Retrieved from [Link]
- Deloitte. (2014). How digital technology is transforming health and social care. Retrieved from [Link]
- DESI. (2020). Use of internet services. Retrieved from [Link]
- Doherty, N. F. & Chadwick, F. (2010). Internet retailing: the past, the present and the future. International Journal of Retail & Distribution Management, 38(11/12), 943-965. [CrossRef]
- Doolin, B., Dillon, S., Thompson, F., & Corner, J. L. (2005). Perceived risk, the Internet shopping experience and online purchasing behavior: A New Zealand perspective. Journal of Global Information Management (JGIM), 13(2), 66-88. [Google Scholar] [CrossRef]
- Fuentes, C., Bäckström, K., & Svingstedt, A. (2017). Smartphones and the reconfiguration of retailscapes: Stores, shopping, and digitalization. Journal of Retailing and Consumer Services, 39, 270-278. [Google Scholar] [CrossRef]
- Gefen, D. (2002). Customer loyalty in e-commerce. Journal of the association for information systems, 3(1), 2. [Google Scholar] [CrossRef]
- Ghose, A., Goldfarb, A., & Han, S. P. (2013). How is the mobile Internet different? Search costs and local activities. Information Systems Research, 24(3), 613-631. [Google Scholar] [CrossRef]
- Global Web Index. (2017). Buying Online is Now Mobile-First. Retrieved from [Link]
- Goh, K. Y., Chu, J., & Wu, J. (2015). Mobile advertising: an empirical study of temporal and spatial differences in search behavior and advertising response. Journal of Interactive Marketing, 30, 34-45. [Google Scholar] [CrossRef]
- Goldsmith, R. E., & Goldsmith, E. B. (2002). Buying apparel over the Internet. Journal of Product and Brand Management, 11(2), 89-102. [Google Scholar] [CrossRef]
- Groß, M. (2015a). Exploring the acceptance of technology for mobile shopping: an empirical investigation among Smartphone users. The International Review of Retail, Distribution and Consumer Research, 25(3), 215-235. [Google Scholar] [CrossRef]
- Groß, M. (2015b). Mobile shopping: a classification framework and literature review. International Journal of Retail & Distribution Management, 43(3), 221. [Google Scholar] [CrossRef]
- Hajli, M. N. (2014). A study of the impact of social media on consumers. International Journal of Market Research, 56(3), 387-404. [Google Scholar] [CrossRef]
- Haque, A., Sadeghzadeh, J., & Khatibi, A. (2006). Identifying potentiality online sales in Malaysia: A study on customer relationships online shopping. Journal of Applied Business Research (JABR), 22(4). [Google Scholar] [CrossRef]
- Hart, C., Farrell, A. M., Stachow, G., Reed, G., & Cadogan, J. W. (2007). Enjoyment of the shopping experience: Impact on customers’ repatronage intentions and gender influence. The Service Industries Journal, 27(5), 583-604. [Google Scholar] [CrossRef]
- Hasan, B. (2010). Exploring gender differences in online shopping attitude. Computers in Human Behavior, 26(4), 597-601. [Google Scholar] [CrossRef]
- Hu, X., Ocloo, C. E., Akaba, S., & Worwui-Brown, D. (2019). Effects of business to business e-commerce adoption on competitive advantage of small and medium-sized manufacturing enterprises. Economics and Sociology, 12(1), 80- 99. doi:10.14254/2071-789X.2019/12-1/4
- Hwang, W., Jung, H. S., & Salvendy, G. (2006). Internationalisation of e-commerce: a comparison of online shopping preferences among Korean, Turkish and US populations. Behaviour & information technology, 25(1), 3-18. [Google Scholar] [CrosRef]
- Islam, M. Z., Low, P. K. C., & Hasan, I. (2013). Intention to use advanced mobile phone services (AMPS). Management Decision, 51(4), 824. [Google Scholar] [CrossRef]
- Jackson, L. A., Zhao, Y., Qiu, W., Kolenic III, A., Fitzgerald, H. E., Harold, R., & von Eye, A. (2008). Culture, gender and information technology use: A comparison of Chinese and US children. Computers in human behavior, 24(6), 2817-2829. [Google Scholar] []CrossRef
- Kaplan, L. B., Szybillo, G. J., & Jacoby, J. (1974). Components of perceived risk in product purchase: A cross-validation. Journal of applied Psychology, 59(3), 287. [Google Scholar] [CrossRef]
- Klepochova, D., & Kopanicova, J. (2012). Generacie X, Y a trvalo udržateľna spotreba. Hodnoty, postoje a ich zobrazenie v spotrebiteľskom spravaní.
- Kotler, P., & Armstrong, G. (2004). Marketing. Praha: Grada, 2004. 855 s.
- Kozacka, P. (2014). Demografické zmeny – blížiaca sa pohroma pre organizacie. [Link]
- Li, M., Dong, Z. Y., & Chen, X. (2012). Factors influencing consumption experience of mobile commerce: A study from experiential view. Internet Research: Electronic Networking Applications and Policy, 22(2), 120-141. [Google Scholar] [CrossRef]
- Liang, T. P., & Turban, E. (2011). Introduction to the special issue social commerce: a research framework for social commerce. International Journal of electronic commerce, 16(2), 5-14. [Google Scholar] [CrossRef]
- Mifsud, L. (2004). Research in the use of handheld technologies in compulsory education: A review of literature. Agder University College, Dept. of Information Systems, Kristiansand, Norway. [Google Scholar]
- Ministerstvo Skolstva, vedy, vyskumu a sportu Slovenskej Respubliky. (2018). Výrocné spravy o stave vysokého Skolstva. Retrieved from [Link]
- Mishchuk, H., Bilan, Y., & Pavlushenko, L. (2016). Knowledge management systems: issues in enterprise human capital management implementation in transition economy. Polish Journal of Management Studies, 14(1), 163-173. DOI: 10.17512/pjms.2016.14.1.15
- Mitra, S., Dangwal, R., Chatterjee, S., Jha, S., Bisht, R. S., & Kapur, P. (2005). Acquisition of computing literacy on shared public computers: Children and the «hole in the wall». Australasian Journal of Educational Technology, 21(3). [Google Scholar] [CrossRef]
- Mueller, J., Hutter, K., Fueller, J., & Matzler, K. (2011). Virtual worlds as knowledge management platform–a practice‐perspective. Information Systems Journal, 6(21), 479-501. [Google Scholar] [CrossRef]
- Osman, S., Yin-Fah, B. C., & Hooi-Choo, B. (2010). Undergraduates and online purchasing behavior. Asian Social Science, 6(10), 133-146. [Google Scholar] [CrossRef]
- Paynter, J., & Lim, J. (2001). Drivers and impediments to e-commerce in Malaysia. Malaysian Journal of Library & Information Science, 6(2), 1-19. [Google Scholar]
- Pescher, C., Reichhart, P., & Spann, M. (2014). Consumer decision-making processes in mobile viral marketing campaigns. Journal of interactive marketing, 28(1), 43-54. [Google Scholar][CrossRef]
- Potosky, D. (2007). The Internet knowledge (iKnow) measure. Computers in Human behavior, 23(6), 2760-2777. [Google Scholar]
- Roudposhti, V.M., Nilashi, M., Mardani, A., Streimikiene, D., Samad, S., & Ibrahim, O. (2018). A new model for customer purchase intention in ecommerce recommendation agents. Journal of International Studies, 11(4), 237-253. doi:10.14254/2071-8330.2018/11-4/17
- Rogers, E. M. (2003). Diffusion of innovation. 5th ed. The Free Press, Ny.Y.
- Statista. (2017). When purchasing products or services, how often do you use the following device. Retrieved from [Link]
- Stefko, R., Habanik, J., & Butoracova-Sindleryova, I. (2010). Marketing instrumentary in the process of project acceptation within the acceleration of back-warded regions development (Slovak title below). Ekonomický casopis (Journal of Economics), 5(58), 512-526. [Google Scholar]
- Sultan, F., Rohm, A. J., & Gao, T. T. (2009). Factors influencing consumer acceptance of mobile marketing: a two-country study of youth markets. Journal of Interactive Marketing, 23(4), 308-320. [Google Scholar] [CrossRef]
- 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(5), 484-491. [Google Scholar] [CrossRef]
- Yang, K., & Kim, H. Y. (2012). Mobile shopping motivation: An application of multiple discriminant analysis. International Journal of Retail and Distribution Management, 40(10), 778-789. [Google Scholar] [CrossRef]
- Zhang, Y. (2005). Age, gender, and Internet attitudes among employees in the business world. Computers in Human Behavior, 21(1), 1-10. [Google Scholar]
- Zhou, L., Dai, L., & Zhang, D. (2007). Online shopping acceptance model-A critical survey of consumer factors in online shopping. Journal of Electronic commerce research, 8(1). [Google Scholar]
|