PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2023 | 11 | nr 2 | 121--136
Tytuł artykułu

Channel Preferences and Attitudes of Domestic Buyers in Purchase Decision Processes of High-value Electronic Devices

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Objective: The objective of the article is to examine how respondents' technological readiness (as an individual factor besides demographic characteristics) influences channel preference (in-store, online big- and smallscreen at different stages of the purchasing decision process for high-value electronic devices (products).
Research Design & Methods: The research encompassed data collected by a quantitative online survey of 415 respondents in Hungary. To identify homogenous groups in the sample, we used cluster analysis based on factors we determined among the technology-readiness variables.
Findings: We identified the technological readiness index 2.0 (TRI) segments in our sample and our findings confirmed that the perceived technological readiness has a significant influence on customers' channel choice.
Implications & Recommendations: Customer experience (CX) is far more than satisfaction with the product; it is influenced by the total purchasing decision process starting at the need recognition and ending at the postpurchasing stage. The difficulties and uncertainties in any stage of the decision-making process result in anxiety and reduce the CX. The uncertainty can arise from factors related to the product, individual, or channel.
Contribution & Value Added: Although the sample is not representative, it provides insight into how Hungarian respondents can be segmented based on technological readiness and how this affects their channel preferences during the customer journey through purchase decisions regarding electronic devices. (original abstract)
Rocznik
Tom
11
Numer
Strony
121--136
Opis fizyczny
Twórcy
  • Budapest Business School Faculty of Finance and Accountancy
  • Budapest Business School Faculty of Finance and Accountancy
  • Budapest Business School Faculty of Finance and Accountancy
Bibliografia
  • Arun, A., Dahlström, P., Hazan, E., Khan, H., & Khanna, R. (2020). Reimagining marketing in the Next Normal | McKinsey. Retrieved from https://www.mckinsey.com/capabilities/growth-marketing-and-sales/our-insights/reimagining-marketing-in-the-next-normal on April 1, 2023.
  • Balakrishnan, A., Sundaresan, S., & Zhang, B. (2014). Browse-and-Switch: Retail-Online Competition under Value Uncertainty. Production and Operations Management, 23(7), 1129-1145. https://doi.org/10.1111/poms.12165
  • Davis, F.D., & Venkatesh, V. (1996). A critical assessment of potential measurement biases in the technology acceptance model: three experiments International Journal of Human-Computer Studies, 45(1), 19-45. https://doi.org/10.1006/ijhc.1996.0040
  • Flavián, C., Gurrea, R., & Orús, C. (2016). Choice confidence in the webrooming purchase process: the impact of online positive reviews and the motivation to touch. Journal of Consumer Behaviour, 15, 459-476. https://doi.org/10.1002/cb.1585
  • Frasquet, M., Mollá, A., & Ruiz, E. (2015). Identifying patterns in channel usage across the search, purchase and post-sales stages of shopping. Electronic Commerce Research and Applications, 14, 654-665. https://doi.org/10.1016/j.elerap.2015.10.002
  • GlobalData. (2021). Retail in 2021 and beyond: Trends and solutions with edge computing. Prepared for Lumen by GlobalData April 05, 2021. Retrieved from https://assets.lumen.com/is/content/Lumen/retail-now-andbeyond-global-data-and-lumen?Creativeid=7565f693-a342-4b14-b8f0-0fa1c40dbd9f on August 5, 2022.
  • Gensler, S., Scott, A., & Verhoef, P.C. (2017). The Showrooming Phenomenon: It's More than Just About Price. Journal of Interactive Marketing, 38, 29-43. https://doi.org/10.1016/j.intmar.2017.01.003
  • Gu, J.Z., & Tayi, G.K. (2016). Consumer Pseudo-Showrooming and Omni-Channel Product Placement Strategies. Management Information Systems Quarterly, Forthcoming. https://doi.org/10.13140/RG.2.1.3880.8569
  • Hallikainen, H., Alamaki, A., & Laukkanen, T. (2019). Individual preferences of digital touchpoints: A latent class analysis. Journal of Retailing and Consumer Services, 50, 386-393. https://doi.org/10.1016/j.jretconser.2018.07.014
  • Hammond, R. (2017). Smart Retail, Winning ideas and strategies from the most successful retailers in the world. Pearson Education Limited (pp. 11-12).
  • Hansen, J.M., Saridakis, G., & Benson, V. (2018). Risk, trust, and the interaction of perceived ease of use and behavioral control in predicting consumers' use of social media for transactions. Computers in Human Behavior, 80, 197-206. https://doi.org/10.1016/j.chb.2017.11.010
  • Heitmann, M., Lehmann, D.R., & Herrmann, A. (2007). Choice goal attainment and decision and consumption satisfaction. Journal of Marketing Research, 44(2), 234-250. https://doi.org/10.1509/jmkr.44.2.234
  • Herhausen, D., Kleinlercher, K., Verhoef, P.C., Emrich, O., & Rudolph, T. (2019). Loyalty Formation for Different Customer Journey Segments. Journal of Retailing, 95(3), 9-29. https://doi.org/10.1016/j.jretai.2019.05.001
  • Hyun, H., Thavisay, T., & Lee, S.H. (2022). Enhancing the role of flow experience in social media usage and its impact on shopping. Journal of Retailing and Consumer Services, 65, 102492. https://doi.org/10.1016/j.jretconser.2021.102492
  • Kannan, P.K., & Kulkarni, G. (2021). The impact of Covid-19 on customer journeys: Implications for interactive marketing. Journal of Research in Interactive Marketing, 16(1), 22-36. https://doi.org/10.1108/JRIM-03-2021-0078
  • Keszey, T., & Zsukk, J. (2017). Az új technológiák fogyasztói elfogadása. A magyar és nemzetközi szakirodalom áttekintése és kritikai értékelése. Vezetéstudomány / Budapest Management Review, 48(10), 38-47. https://doi.org/10.14267/VEZTUD.2017.10.05
  • Konus, U., Verhoef, P.C., & Neslin, S.A. (2008). Multichannel Shopper Segments and Their Covariates. Journal of Retailing, 84(4), 398-413. https://doi.org/10.1016/j.jretai.2008.09.002
  • Mehra, A., Kumar, S., &. Raju, J.S. (2013). Competitive Strategies for Brick-and-Mortar Stores to Counter 'Showrooming' and the Competition between Store and Online Retailers. SSRN Electronic Journal. Retrieved from https://ur.booksc.eu/book/71896823/da5046 on September 20, 2022.
  • Neslin, S.A. (2022). The omnichannel continuum: Integrating online and offline channels along the customer journey. Journal of Retailing, 98(1), 111-132. https://doi.org/10.1016/j.jretai.2022.02.003
  • Oyman, M., Bal, D., & Ozer, S. (2022). Extending the technology acceptance model to explain how perceived augmented reality affects consumers' perceptions. Computers in Human Behavior, 128, 107127. https://doi.org/10.1016/j.chb.2021.107127
  • Parasuraman, A., & Colby, C.L. (2015). An updated and streamlined technology readiness index: TRI 2.0 Journal of Service Research, 18(1), 59-74. https://doi.org/10.1177/1094670514539730
  • Parasuraman, A., & Colby, C.L. (2001). Techno-ready Marketing: How and Why Your Customers Adopt Technology, 224. New York: Free Press.
  • Park, S., & Lee, D. (2017). An empirical study on consumer online shopping channel choice behavior in omni-channel environment. Telematics and Informatics, 34(8), 1398-1407. https://doi.org/10.1016/j.tele.2017.06.003
  • Peck, J., & Childers, T.L. (2003). Individual Differences in Haptic Information Processing: The "Need for Touch" Scale. Journal of Consumer Research, 30(3), 430-442. https://doi.org/10.1086/378619
  • Puccinelli, N.M., Goodstein, R., Grewal, D., Price, R., Raghubir, P., & Stewart, D. (2009). Customer Experience Management in Retailing: Understanding the Buying Process. Journal of Retailing, 85(1), 15-30. https://doi.org/10.1016/j.jretai.2008.11.003
  • Rodrígez-Torrico, P., San José Cabezudo, R., & San-Martin, S. (2014). Tell me what they are like and I will tell you where they buy. An analysis of omnichannel consumer behavior. Computers in Human Behavior, 68, 465- 471. https://doi.org/10.1016/j.chb.2016.11.064
  • Santos, S., & Martins Gonçalves, H. (2019). Multichannel consumer behaviors in the mobile environment: Using fsQCA and discriminant analysis to understand webrooming motivations. Journal of Business Research, 101(1), 757-766. https://doi.org/10.1016/j.jbusres.2018.12.069
  • Schul, Y., & Mayo, R. (2003). Searching for certainty in an uncertain world: the difficulty of giving up the experiential for the rational mode of thinking. Journal of Behavioral Decision Making, 16(2), 93-106. https://doi.org/10.1002/bdm.434
  • Valentini, S., Neslin, S.A., & Montaguti, E. (2020). Identifying omnichannel deal prone segments, their ante-cedents, and their consequences. Journal of Retailing, 96(3), 310-327. https://doi.org/10.1016/j.jretai.2020.01.003
  • Walsh, G., & Mitchell, V.-W. (2010). The effect of consumer confusion proneness on word of mouth, trust, and customer satisfaction. European Journal of Marketing, 44, 838-859. https://doi.org/10.1108/03090561011032739
  • Verhoef, P.C., Kannan, P.K., & Inman, J.J. (2015). From multi-channel retailing to omni-channel retailing: introduction to the special issue on multi-channel retailing. Journal of Retailing, 91, 174-181. https://doi.org/10.1016/j.jretai.2015.02.005
  • Walsh, G., & Mitchell, V.W. (2010). The effect of consumer confusion proneness on word of mouth, trust, and customer satisfaction. European Journal of Marketing, 44(6), 838-859. https://doi.org/10.1108/03090561011032739
  • Zielke, S., Komor, M., & Schlößer, A. (2023). Coping strategies and intended change of shopping habits after the Corona pandemic - Insights from two countries in Western and Eastern Europe. Journal of Retailing and Consumer Services, 72, 103255. https://doi.org/10.1016/j.jretconser.2023.103255
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171669785

Zgłoszenie zostało wysłane

Zgłoszenie zostało wysłane

Musisz być zalogowany aby pisać komentarze.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.