Analysis of Customers’ Tendency to Accept the Solutions Offered by the Stores of the Future on the Example of the Clothing Industry
Abstract
Theoretical background: The logistics sector is developing rapidly, offering new concepts in the form of stores of the future. They are aimed at streamlining, simplifying, and accelerating the purchasing process for consumers. This work is devoted to the analysis of Polish consumers’ attitudes toward innovations offered by the stores of the future. The authors have attempted to identify factors influencing the willingness of customers to adopt and use new technologies in the clothing industry. The subject of the work also reflects the changes in the contemporary clothing industry. Its future seems to be closely related to the technological progress in the logistics, and commerce.
Purpose of the article: The work aims to analyze the consumers’ readiness to accept solutions offered by the stores of the future on the example of the clothing industry and to identify the main barriers to their implementation and use.
Research methods: We explored data collected from research participants (N = 172). We used the computer-assisted web interview (CAWI) technique. The online questionnaire was prepared in Google Forms.
Main findings: The data collected during the research work became the basis for the following conclusions: consumers are interested in innovation in clothing stores but do not know much about them; comfort, convenience, flexibility, and speed have the greatest impact on consumers’ attitudes towards the purchasing process; customers want to experience various emotions and deepen the consumer experience without having to worry about new forms of clothing purchases.
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Alexander, B., & Kent, A. (2022). Change in technology-enabled omnichannel customer experiences in-store. Journal of Retailing and Consumer Services, 65. https://doi.org/10.1016/j.jretconser.2020.102338
Agarwal, V. (2019). Technology, sustainability, and consumer expectation – new ways of thinking about future fashion. Research into Design for a Connected World. Smart Innovation, Systems and Technologies, 134. https://doi.org/10.1007/978-981-13-5974-3_35
Bonetti, F., Perry, P., Quinn, L., & Warnaby, G. (2019). Evaluating managerial drivers and barriers to the implementation of in-store technology in fashion retailing: An abstract. Finding New Ways to Engage and Satisfy Global Customers. AMSWMC 2018 . https://doi.org/10.1007/978-3-030-02568-7_127
Ciszewska-Kulwińska, E. (2016). Logistyka branży odzieżowej – wyzwania i szanse rozwoju. https://wilis.pg.edu.pl/documents/2336321/48297385/Eliza_Ciszewska-Kulwi%C5%84ska_Logistyka_bran%C5%BCy_odzie%C5%BCowej-wyzwania-i-szanse-rozwoju.pdf
Claudy, M.C., Garcia, R., & O’Driscoll, A. (2015). Consumer resistance to innovation – a behavioral reasoning perspective. Journal of the Academy of Marketing Science, 43. https://doi.org/10.1007/s11747-014-0399-0
Cruz-Cárdenas, J., Guadalupe-Lanas, J., Ramos-Galarza, C., & Palacio-Fierro, A. (2021). Drivers of technology readiness and motivations for consumption in explaining the tendency of consumers to use technology-based services. Journal of Business Research, 122. https://doi.org/10.1016/j.jbusres.2020.08.054
Ellen MacArthur Foundation. (2017). A new textiles economy: Redesigning fashion’s future. Change in Textile and Clothing Industry. https://doi.org/10.35530/IT.069.01.1449
Grewal, D., Noble, S.M., & Roggeveen, A.L. (2020). The future of in-store technology. Journal of the Academy of Marketing Science, 48. https://doi.org/10.1007/s11747-019-00697-z
Harba, J.N. (2019). New approaches to customer experience: where disruptive technological innovation meets luxury fashion. Proceedings of the International Conference on Business Excellence, 13(1). https://doi.org/10.2478/picbe-2019-0066
Huang, T.L., & Liao, S. (2015). A model of acceptance of augmented-reality interactive technology: the moderating role of cognitive innovativeness. Electronic Commerce Research, 15. https://doi.org/10.1007/s10660-014-9163-2
Janasz K., Janasz, W., Kozioł, K., & Szopik-Depczyńska, K. (2010). Zarządzanie strategiczne. Koncepcje. Metody. Strategie. Difin.
Ju, N., & Lee, KH. (2020). Consumer resistance to innovation: smart clothing. Fashion and Textiles, 7(21). https://doi.org/10.1186/s40691-020-00210-z
Khadka, K., & Maharjan, S. (2017). Customer satisfaction and customer loyalty. https://core.ac.uk/download/pdf/161421179.pdf?utm_source=summari
Kim, H., Lee, J.Y., Mun, J.M., & Johnson, K.K.P. (2017). Consumer adoption of smart in-store technology: assessing the predictive value of attitude versus beliefs in the technology acceptance model. International Journal of Fashion Design, Technology and Education, 10(1). https://doi.org/10.1080/17543266.2016.1177737
Koszewska, M. (2012). Role of consumers’ input into the development of innovations. Innovative trends in the textile and clothing industry and the needs of Polish consumers. Fibres & Textiles in Eastern Europe, 6A(95).
Koszewska, M. (2018). Circular economy – challenges for the textile and clothing industry. Autex Research Journal, 18(4). https://doi.org/10.1515/aut-2018-0023
Kotler, P (1999). Marketing. Analiza, planowanie, wdrażanie i kontrola. FELBERG SJA.
Księżak, P. (2017). The CSR challenges in the clothing industry. http://dx.doi.org/10.12775/JCRL.2016.008
Kunwar, P. (2018). A Study on Consumer Behavior towards Organized Apparel Retail Industry with Reference to Gujarat. http://gtusitecirculars.s3.amazonaws.com/uploads/Thesis-%20Pooja%20Kunwar,%20Enrollment%20no-%20129990992021_454341.pdf
Marciniak, S. (2013). Makro- i mikroekonomia, podstawowe problemy. Wyd. Nauk. PWN.
Mącik, R. (2015). Substitutability and complementarity of physical and virtual purchase channels. Annales Universitatis Mariae Curie-Skłodowska, sectio H – Oeconomia, 49(1). http://dx.doi.org/10.17951/h.2015.49.1.99
Nouinou, H., Asadollahi-Yazdi, E., Baret, I., Nguyen, N.Q., Terzi, M., Ouazene, Y., Yalaoui, F., & Kelly, R. (2023). Decision-making in the context of Industry 4.0: Evidence from the textile and clothing industry. Journal of Cleaner Production, 391. https://doi.org/10.1016/j.jclepro.2023.136184
Palmowska, M., & Karasek, J. (2019). Raport: Rynek mody w Polsce. Wyzwania. https://home.kpmg/pl/pl/home/insights/2019/11/raport-kpmg-pt-rynek-mody-w-polsce-wyzwania.html
Peters, J., & Simaens, A. (2020). Integrating sustainability into corporate strategy: A case study of the textile and clothing industry. Sustainability, 12(15). https://doi.org/10.3390/su12156125
Popowska, M., & Sinkiewicz, A. (2021). Sustainable fashion in Poland – too early or too late? Sustainability, 13(17). https://doi.org/10.3390/su13179713
Rahman, O., & Koszewska, M. (2020). A study of consumer choice between sustainable and non-sustainable apparel cues in Poland. Journal of Fashion Marketing and Management, 24. https://doi.org/10.1108/jfmm-11-2019-0258
Sławińska, M. (2008). Kompendium wiedzy o handle. Wyd. Nauk. PWN.
Stachowiak-Krzyżan, M., & Ankiel, M. (2019). Behaviours of young consumers in a virtual environment on the example of the fashion industry. Annales Universitatis Mariae Curie-Skłodowska, sectio H – Oeconomia, 53(1), 89–97. http://dx.doi.org/10.17951/h.2019.53.1.89-97
Sułkowski, Ł., & Kaczorowska-Spychalska, D. (2016). Social media in the process of marketing evolution in Polish textile-clothing industry. Fibres & Textiles in Eastern Europe, 24. https://doi.org/10.5604/12303666.1215521
Valor, C., Antonetti, P., & Crisafulli, B. (2022). Emotions and consumers’ adoption of innovations: An integrative review and research agenda. Technological Forecasting and Social Change, 179. https://doi.org/10.1016/j.techfore.2022.121609
Wu., Y.F., & Kim, E.Y. (2022). Users’ perceptions of technological features in augmented reality (AR) and virtual reality (VR) in fashion retailing: A qualitative content analysis. Mobile Information Systems, 2022, Article ID 3080280. https://doi.org/10.1155/2022/3080280
Yang., H., Choi, S., & Park, J. (2022). The effect of consumers’ technological readiness on perceived shopping value and word-of-mouth in fashion AR store. https://doi.org/10.7233/ijcf.2022.22.2.058
Zhitomirsky-Geffet, M., & Blau, M. (2016). Cross-generational analysis of predictive factors of addictive behavior in smartphone usage. Computers in Human Behavior, 64. https://doi.org/10.1016/j.chb.2016.07.061
DOI: http://dx.doi.org/10.17951/h.2024.58.2.117-136
Date of publication: 2024-07-05 15:44:57
Date of submission: 2023-05-08 12:25:00
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