Abstract
The contemporary mobile phone has absolute capabilities to go beyond its core role as an ordinary voice communication device. With the smart concept and mobile application technology, the contemporary mobile phone makes users’ lives easier than ever before. WHO declared the Covid-19 situation as a pandemic on 11 March 2020 and it has been an ongoing global pandemic since December 2019. People all around the world are experiencing direct and indirect consequences of the Covid-19 pandemic. However, mobile phone technology can provide sophisticated solutions to cope with a pandemic environment. Thus, as a pilot study in this research, the author focused on Polish consumers’ mobile phone usage behaviour towards their online shopping buying behaviour before and during the Covid-19 pandemic time. An online field survey was conducted to collect primary data from the respondents during the month of April 2021, and the total number of participants was recorded as 102. In order to reach conclusions, mainly two types of statistical hypothesis tests were carried out. Hypothesis test 1 was conducted to determine whether the respondents were demonstrating a significant usage increase in the average number of online shopping transactions per month and during the Covid-19 pandemic time. Hypothesis test 2 was conducted to determine whether there was a difference in the average number of online shopping transactions per month during the pandemic time of the respondents based on their age group. Descriptive and inferential statistics, including the matched-pairs test and one-way ANOVA, were applied to the analysis. The researcher is in a position confirm that there is a significant difference in the average number of online shopping transactions per month before and during the Covid-19 pandemic. However, there is no significant difference in the average number of online shopping transactions per month during the pandemic time made by representants of two generations, generation X and Millennials. The results of the study were significant since the primary data collection was done during April 2021. The pilot study will help to understand how the respondents online buying behaviour through mobile phone usage changed during the pandemic. The added value of the conducted pilot study involves filling in a gap regarding the differences and similarities between generational groups on mobile shopping during the Covid-19 pandemic time.
Keywords: online shopping, mobile apps, polish consumers, buying behaviour
References
- 1.Saprikis Vaggelis, Angelos Markos, Theodora Zarmpou, Maro Vlachopoulou. “Mobile shopping consumers’ behavior: An exploratory study and review”. Journal of Theoretical and Applied Electronic Commerce Research. 2018;13(1):71–90. doi:http://dx.doi.org/10.4067/S0718-1876. [Google Scholar]
- 2.Adnan M. Shah, Yan Xiangbin, Shah Ali, Asad Syed, Ali Mudassar. “Customers’ perceived value and dining choice through mobile apps in indonesia”. Asia Pacific Journal of Marketing and Logistics. 2020;33(1):1–28. doi:http://dx.doi.org/10.1108/APJML-03-2019-0167. [Google Scholar]
- 3.Faulds David J., Mangold W. Glynn, Raju P.S., Sarath Valsalan. “The mobile shopping revolution: Redefining the consumer decision process”. Business Horizons. 2018;61(2):323–338. [Google Scholar]
- 4.Changsu Kim, Wen Li, Kim Dan J. “An empirical analysis of factors influencing M-shopping use”. International Journal of Human-Computer Interaction. 2015;31(12):974–994. [Google Scholar]
- 5.Cakebread Caroline. “Exploring the Mobile Shopping Habits of US Consumers”. Emarketer. 2018 [Online] 2018. [Cited: 04 12, 2021] https://contentstoragena2.emarketer.com/97c91ba51d3843ab7448813bd4fb2c52/Exploring_the_Mobile_Shopping_Habits_of_US_Consumers_eMarketer.pdf. [Google Scholar]
- 6.Keith, Mark Jeffrey, Babb Jr, Jeffrey S. Furner, Christopher & Abdullat, Amjad. (2011). The role of mobile self-efficacy in the adoption of geospatially-aware applications: an empirical analysis of Iphone users. Proceedings of the 44th HI International Conference on System Science.
- 7.Zhou Tao, Lu Yaobin. “The effects of personality traits on user acceptance of mobile com- merce”. International Journal of Human–Computer Interaction. 2011;27(6):545–561. [Google Scholar]
- 8.Hung Ming-Chien, Yang Shih-Ti, Hsieh Ting-Chu. “An examination of the determinants of mobile shopping continuance”. International Journal of Electronic Business Management. 2012;10(1):2931. [Google Scholar]
- 9.Zheng Lili. “The role of consumption emotions in users’ mobile gaming application continuance intention”. Information Technology & People. 2020;33(1):340–360. doi:http://dx.doi.org/10.1108/ITP-04-2018-0197. [Google Scholar]
- 10.Flurry.(2014) iOS & Android apps challenged by traffic acquisition not discovery. [Online] http://blog.flurry.com/bid/76874/iOS-Android-Apps-Challenged-by-Traffic-Acquisition-Not-Discovery.
- 11.Yang Inju. “Interplay of cognition and emotion in IS usage emotion as mediator between cognition and IS usage”. Journal of Enterprise Information Management. 2015;28(3):363–376. [Google Scholar]
- 12.Lee Yonnim, Kwon Ohbyung. “Intimacy, familiarity and continuance intention: an extended expectation – confirmation model in web-based service”. Electronic Commerce Research and Applications. 2011;10(3):342–357. [Google Scholar]
- 13.Handlowe Wiadomości. wiadomoscihandlowe.pl. [Online] [Cited: 04 10, 2021.] https://www.wiadomoscihandlowe.pl/artykul/wartosc-polskiego-rynku-e-commerce-zblizy-sie-do-100-mld-zl-w-2024-roku.
- 14.Pricewaterhouse Coopers, PWC. [Online] [Cited: 04 10, 2021.] https://www.pwc.pl/pl/media/2021-02-09-analiza-pwc-prognoza-rozwoju-rynku-ecommerce-w-polsce.html.
- 15.Digital Care, “Rynek smartfonów w polsce. Ile ich mamy i jak z nich korzystamy?” Interaktywnie.com. [Online] https://interaktywnie.com/biznes/artykuly/biznes/rynek-smartfonow-w-polsce-ile-ich-mamy-i-jak-z-nich-korzystamy-badanie-259681.
- 16.Statista [Online] [Cited: 04.04.2021] https://www.statista.com/statistics/201183/forecast-of-smartphone-penetration-in-the-us/.
- 17.Statista. [Online] [Cited: 10.04.2021] https://www.statista.com/statistics/373529/new-app-releases-category/.
- 18.Sas, Andrea. Statista. [Online] 2021. https://www.statista.com/statistics/1110546/poland-ecommerce-activities/#statisticContainer.
- 19.Hameed Khawar, Hanifa Shah, Ahsan Kamran, Weijun Yang. “An Enterprise Architecture Framework for Mobile Commerce”. International Journal of Computer Science Issues. 2010;7(4):6–12. [Google Scholar]
- 20.Salvatore Alaimo Leonardo, Fiore Mariantonietta, Galati Antonino. “Measuring consumers’ level of satisfaction for online food shopping during COVID-19 in Italy using POSETs”. Socio-Economic Planning Sciences. 2021:101064. doi: 10.1016/j.seps.2021.101064. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Singh Reema, Rosengren Sara. “Why do online grocery shoppers switch? An empirical investigation of drivers of switching in online grocery”. Journal of Retailing Consum Services. 2020;53:101962. 10.1016/j.jretconser.2019.101962. [Google Scholar]
- 22.Aneesh,. Reddy. BusinessLine. [Online] [Cited: 24.04.2021] https://www.thehindubusinessline.com/opinion/covid-19-impact-consumers-move-more-towards-digital/article31337127.ece.
- 23.Fang Jiaming, Wen Chao, George Benjamin, Prybutok Victor R. “Consumer heterogeneity, perceived value, and repurchase decision-making in online shopping: The role of gender, age, and shopping motives”. Journal of Electronic Commerce Research. 2016;17(2):116–131. [Google Scholar]
- 24.MacDonald, Zoë. Sellics. [Online] [Cited: 15.04.2021] https://sellics.com/blog-coronavirus-covid-amazon-online-shopping/.
- 25.Gefen David, Straub Detmar. “Managing user trust in B2C e-services”. E-Service Journal. 2013;2(2):7–24. [Google Scholar]
- 26.Grabner-Krauter Sonja, Kaluscha Ewald A. “Empirical research in on-line trust: A review and critical assessment”. International Journal of Human-Computer Studies. 2003;58(6):783–812. [Google Scholar]
- 27.Shwadhin Sharma, Crossler Robert E. “Disclosing too much? Situational factors affecting information disclosure in social commerce environment”. Electronic Commerce Research and Applications. 2014;5(13):305–319. [Google Scholar]
- 28.Farivar Samira, Turel Ofir, Yuan Yufei. “A trust-risk perspective on social commerce use: an examination of the biasing role of habit”. Internet Research. 2017;27(3):586–607. [Google Scholar]
- 29.Loxton Mary, Truskett Robert, Scarf Brigitte, Sindone Laura, Baldry George, Zhao Yinong. “Consumer behaviour during crises: Preliminary research on how coronavirus has manifested consumer panic buying, herd mentality, changing discretionary spending and the role of the media in influencing behaviour”. Journal of Risk and Financial Management. 2020;13(8):166. DOI:10.3390/jrfm13080166. [Google Scholar]
- 30.Halicka Joanna, Katarzyna Ejdys. “Sustainable Adaptation of New Technology - The Case of Humanoids Used for the Care of Older Adults”. Sustainability. 2018;10(10):3770. doi: 10.3390/sul0103770. [DOI] [Google Scholar]
- 31.Dong Xiaozhou. “A study on the relationship among customer behavior stickiness, motivation of shopping and customer value in the online shopping”. Journal of Contemporary Marketing Science. 2019;2(2):196–216. doi:http://dx.doi.org/10.1108/JCMARS-01-2019-0. [Google Scholar]
- 32.Jamie Carlson, Rahman Mohammad M., Alexander Taylor, Ranjit Voola. “Feel the VIBE: examining value-in-the- brand-page-experience and its impact on satisfaction and customer engagement behaviours in mobile social media”. Journal of Retailing and Consumer Services. 2019;46:149–162. [Google Scholar]
- 33.Pantelimon Florin-Valeriu, Georgescu Tiberiu Marian, Posedaru Bogdan-Stefan. “The impact of mobile e-commerce on GDP: A comparative analysis between romania and germany and how covid-19 influences the e-commerce activity worldwide”. Informatica Economica. 2020;24(2):27–41. doi:http://dx.doi.org/10.24818/issn14531305/24.2.2020.03. [Google Scholar]
- 34.Beaconstac. (2016) The State of Indian Mobile Commerce. [Online] [Cited: 15.04.2021] https://resources.beaconstac.com/ebook/the-state-of-indian-mobilecommerce.pdf?_s=vffvhtrpm9 w2gruckzhd.
- 35.Groß Michael. “Exploring the acceptance of technology for mobile shopping: an empirical investigation among Smartphone users”. The International Review of Retail Distribution and Consumer Research. 2015;25(3):215–235. [Google Scholar]
- 36.Purwanto Edi, Deviny July, Mutahar Ahmed M. ”The mediating role of trust in the relationship between corporate image, security, word of mouth and loyalty in M-banking using among the millennial generation in Indonesia”. Management & Marketing. 2020;15(2) [Google Scholar]
- 37.Bacik, Radovan, Fedorko, Richard and Olearova, Maria.(2018) The Problematics Of Using Mobile Devices For E-commerce In The V4 Countries. Varazdin Development and Entrepreneurship Agency (VADEA), https://search.proquest.com/conference-papers-proceedings/problematics-using-mobile-devices-e-commerce-v4/docview/2176205584/se-2?accountid=8086.
- 38.Kaniewska-Sęba Aleksandra. ”Wykorzystanie narzędzi marketingu mobilnego w komunikacji z klientami – przykłady z rynku produktów spożywczych”. Handel Wewnetrzny. 2018;373:235–245. [Google Scholar]
- 39.Chai Yi Ding, Hin Kah. “Emotions and continued usage of mobile applications”. Industrial Management & Data Systems. 2018;115(5):833–852. [Google Scholar]
- 40.Chaffey Dave, Ellis-Chadwick Fiona. Digital marketing. Pearson; UK: 2019. [Google Scholar]
- 41.Kingsnorth Simon. Digital marketing strategy: an integrated approach to online marketing. Kogan Page Publishers; 2019. [Google Scholar]
- 42.Lissitsa Sabina, Kol Ofrit. “Four generational cohorts and hedonic m-shopping: Association between personality traits and purchase intention”. Electronic Commerce Research. 2019:1–26. doi:http://dx.doi.org/10.1007/s10660-019-09381-4. [Google Scholar]
- 43.Kum Yuen, Wang Xueqin, Ma Fei, Li X., Kevin “The psychological causes of panic buying following a health crisis. International Journal of Environmental Research and Public Health”. International Journal of Environmental Research and Public Health. 2020;17:3513. doi: 10.3390/ijerph17103513. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Taipale Sakari, Wilska Terhi-Anna, Gilleard Chris. Digital technologies and generational iden- tity: ICT usage across the life course. Routledge; London: 2017. [Google Scholar]
- 45.Wu Wann-Yih, Ke Ching-Ching. “An online shopping behavior model integrating personality traits, perceived risk, and technology acceptance”. Social Behavior and Personality: An International Journal. 2015;43(1):85–97. [Google Scholar]
- 46.Becton John Bret, Waker Harvell Jack, Jones-Farmer Allison. “Generational differences in workplace behavior”. Journal of Applied Social Psychology. 2014;44(3):175–189. [Google Scholar]
- 47.Smola Karen W., Sutton Charlotte D. “Generational differences: revisiting generational work values for the new millennium”. Journal of Organizational Behavior. 2002;23(4):363–382. [Google Scholar]
- 48.Sullivan Sherry E., Forret Monica L., Carraher Shawn M., Mainiero Lisa A. “Using the kaleidoscope career model to examine generational differences in work attitudes”. Career Development International. 2009;14(3):284–302. [Google Scholar]
- 49.Twenge, Jean M. A review of empirical evidence on generational differences in work attitudes. Journal of Business Psychology 25(2): 201–210.
- 50.Twenge, Jean M., Campbell, Stacy M., Hoffman, Brian J. and.Lance. Generational, Charles E ”Differences in work values: leisure and extrinsic values increasing, social and intrinsic values decreasing. Journal of Management 36(5): 1117–1142.
- 51.Mannheim Karl. “The problem of generations”. Psychoanalytic Review. 1952;57(3):378–404. [Google Scholar]
- 52.Dencker Joshi, Franz Gentz, Martocchio Joseph J. “Unpacking generational identities in organizations”. Academy of Management Review. 2010;35(3):392–414. [Google Scholar]
- 53.Weeks Kelly. “Generational Differences in Definitions of Meaningful Work: A Mixed Methods Study”. Journal of Business Ethics. 2019;156(3) DOI:10.1007/s10551-017-3621-4. [Google Scholar]
- 54.San-Martín Sonia, Prodanova Jana, Jiménez Nadia. “The impact of age in the generation of satisfaction and WOM in mobile shopping”. Journal of Retailing and Consumer Services. 2015;23:1–8. [Google Scholar]
- 55.Anil Bilgihan. “Gen Y customer loyalty in online shopping: An integrated model of trust, user experience and branding”. Computers in Human Behavior. 2016;61:103–113. DOI:10.1016/j.chb.2016.03.014. [Google Scholar]
- 56.Anders Parment. “Generation Y vs. Baby Boomers: Shopping behavior, buyer involvement and implications for retailing”. Journal of Retailing and Consumer Services. 2013;20(2):189–199. [Google Scholar]
- 57.Cao Xiongfei, Yu Lingling, Liu Zhiying, Gong Mingchuan, Adeel Luqman. “Understanding mobile payment users’ continuance intention: a trust transfer perspective”. Internet Research. 2018;2:456–476. [Google Scholar]
- 58.Inglehart Ronald. The Silent Revolution: Changing Values And Political Styles Among Western Publics I. Princeton Univ Press; 1977. pp. 473–474. [Google Scholar]
- 59.Meriac P., John Woehr, David J, Christina Banister. “Generational Differences in Work Ethic: An Examination of Measurement Equivalence Across Three Cohorts”. Journal of Business and Psychology. 2010;25(2):315–324. [Google Scholar]
- 60.Ickler, Henrik, Schülke, Sarah, Wilfling, Sabine, Baumöl, Ulrike. (2009) New challenges in e-commerce: how social commerce influences the customer process. The National Conference on Computing and Information Technology (NCCIT), Songkhla. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.460.5449&rep=rep1&type=pdf.
- 61.Herrando Carolina, Julio Jimenez-Martinez, Martin-De Hoyos MJ. “Tell me your age and I tell you what you trust: The moderating effect of generations”. Internet Research. 2019;29(4):799–817. doi:http://dx.doi.org/10.1108/IntR-03-2017-0135. [Google Scholar]
- 62.World Health Organization. [Online] [Cited: 20.04.2021] https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19-11-march-2020.