New Journey Through Young Customer Experience in Omnichannel Context: The Role of Personalization
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Objective: This study investigates the relationship between personalization and customer experience, with emotion and cognitive as the components through which the result repeats purchase intention.
Design/Methods/Approach: This study uses purposeful sampling to enroll research participants based on the research objective. A total of 429 respondents met the criteria, and the hypotheses were tested using Smart PLS 3 software with Partial least squares (PLS) structural equation modeling.
Findings: The results of this study confirm that customer experience is a significant attribute of consumer behavior in the omnichannel context. Specifically, the main findings of our research indicate that emotions and cognitive processes are influenced by personalization, a relationship that has been established in the online context. The findings also indicate that the emotional and cognitive components of the customer experience can influence purchase intention.
Originality: Our framework is based on previous research and applies to a new construct with new phenomena.
Practical/Policy implication: Our finding demonstrates that a better customer experience in an omnichannel context has a beneficial effect on repeat purchase intention, indicating that personalization might influence purchasing behavior. In essence, our finding enables companies to understand the linked nature of variables and consequently prioritize marketing initiatives in an omnichannel context.
Adivar, B., Hüseyinoğlu, I. Ö. Y., & Christopher, M. (2019). A quantitative performance management framework for assessing omnichannel retail supply chains. Journal of Retailing and Consumer Services, 48, 257–269. https://doi.org/10.1016/J.JRETCONSER.2019.02.024
Aguirre, E., Roggeveen, A. L., Grewal, D., & Wetzels, M. (2016). The personalization-privacy paradox: implications for new media. Journal of Consumer Marketing, 33(2), 98–110. https://doi.org/10.1108/JCM-06-2015-1458
Bagozzi, R. P., Yi, Y., & Nassen, K. D. (1998). Representation of measurement error in marketing variables: Review of approaches and extension to three-facet designs. Journal of Econometrics, 1–2(89), 393–421. https://doi.org/10.1016/S0304-4076(98)00068-2
Barari, M., Ross, M., & Surachartkumtonkun, J. (2020). Negative and positive customer shopping experience in an online context. Journal of Retailing and Consumer Services, 53. https://doi.org/10.1016/J.JRETCONSER.2019.101985
Barrett, L. F. (2006). Are Emotions Natural Kinds? Perspectives on Psychological Science : A Journal of the Association for Psychological Science, 1(1), 28–58. https://doi.org/10.1111/j.1745-6916.2006.00003.x
Berki-Kiss, D., & Menrad, K. (2022). The role emotions play in consumer intentions to make pro-social purchases in Germany – An augmented theory of planned behavior model. Sustainable Production and Consumption, 29, 79–89. https://doi.org/10.1016/J.SPC.2021.09.026
Bilgihan, A. (2016). Gen y customer loyalty in online shopping: An integrated model of trust, user experience and branding. Computers in Human Behavior, 61, 103–113. https://doi.org/10.1016/J.CHB.2016.03.014
Carlson, J., O'Cass, A., & Ahrholdt, D. (2015). Assessing customers' perceived value of the online channel of multichannel retailers: A two country examination. Journal of Retailing and Consumer Services, 27, 90–102. https://doi.org/10.1016/J.JRETCONSER.2015.07.008
Chiu, C. M., Wang, E. T. G., Fang, Y. H., & Huang, H. Y. (2014). Understanding customers' repeat purchase intentions in B2C e-commerce: the roles of utilitarian value, hedonic value and perceived risk. Information Systems Journal, 24(1), 85–114. https://doi.org/10.1111/J.1365-2575.2012.00407.X
Choi, B., Kwon, O., & Shin, B. (2017). Location-based system: Comparative effects of personalization vs ease of use. Telematics and Informatics, 34(1), 91–102. https://doi.org/10.1016/J.TELE.2016.04.011
Datig, I. (2015). Walking in Your Users' Shoes: An Introduction to User Experience Research as a Tool for Developing User-Centered Libraries. Https://Doi.Org/10.1080/10691316.2015.1060143, 22(3–4), 234–246. https://doi.org/10.1080/10691316.2015.1060143
Dennis, C., JoÅ¡ko Brakus, J., Gupta, S., & Alamanos, E. (2014). The effect of digital signage on shoppers' behavior: The role of the evoked experience. Journal of Business Research, 67(11), 2250–2257. https://doi.org/10.1016/J.JBUSRES.2014.06.013
Diallo, M. F. (2012). Effects of store image and store brand price-image on store brand purchase intention: Application to an emerging market. Journal of Retailing and Consumer Services, 19(3), 360–367. https://doi.org/10.1016/J.JRETCONSER.2012.03.010
Fornell, C., & Larcker, D. F. (1981). Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. Journal of Marketing Research, 18(3), 382. https://doi.org/10.2307/3150980
Frow, P., & Payne, A. (2007). Towards the 'perfect' customer experience. Journal of Brand Management 2007 15:2, 15(2), 89–101. https://doi.org/10.1057/PALGRAVE.BM.2550120
Gao, W., Fan, H., Li, W., & Wang, H. (2021). Crafting the customer experience in omnichannel contexts: The role of channel integration. Journal of Business Research, 126(December 2020), 12–22. https://doi.org/10.1016/j.jbusres.2020.12.056
Gaur, S. S., Herjanto, H., & Makkar, M. (2014). Review of emotions research in marketing, 2002-2013. Journal of Retailing and Consumer Services, 21(6), 917–923. https://doi.org/10.1016/J.JRETCONSER.2014.08.009
Gentile, C., Spiller, N., & Noci, G. (2007). How to Sustain the Customer Experience:: An Overview of Experience Components that Co-create Value With the Customer. European Management Journal, 25(5), 395–410. https://doi.org/10.1016/J.EMJ.2007.08.005
Hair, Joe F., Ringle, C. M., & Sarstedt, M. (2014). PLS-SEM: Indeed a Silver Bullet. Https://Doi.Org/10.2753/MTP1069-6679190202, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202
Hair, Joseph F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2017). Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods. Journal of the Academy of Marketing Science, 45(5), 616–632. https://doi.org/10.1007/S11747-017-0517-X
Hänninen, M., Smedlund, A., & Mitronen, L. (2018). Digitalization in retailing: multi-sided platforms as drivers of industry transformation. Baltic Journal of Management, 13(2), 152–168. https://doi.org/10.1108/BJM-04-2017-0109
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/S11747-014-0403-8/FIGURES/8
Hollebeek, L. D., Clark, M. K., Andreassen, T. W., Sigurdsson, V., & Smith, D. (2020). Virtual reality through the customer journey: Framework and propositions. Journal of Retailing and Consumer Services, 55. https://doi.org/10.1016/J.JRETCONSER.2020.102056
Homburg, C., Schwemmle, M., & Kuehnl, C. (2015a). New Product Design: Concept, Measurement, and Consequences: Https://Doi.Org/10.1509/Jm.14.0199, 79(3), 41–56. https://doi.org/10.1509/JM.14.0199
Homburg, C., Schwemmle, M., & Kuehnl, C. (2015b). New Product Design: Concept, Measurement, and Consequences: Https://Doi.Org/10.1509/Jm.14.0199, 79(3), 41–56. https://doi.org/10.1509/JM.14.0199
Jaakkola, E., Helkkula, A., & Aarikka-Stenroos, L. (2015). Service experience co-creation: Conceptualization, implications, and future research directions. Journal of Service Management, 26(2), 182–205. https://doi.org/10.1108/JOSM-12-2014-0323/FULL/XML
Kalaignanam, K., Kushwaha, T., & Rajavi, K. (2018). How Does Web Personalization Create Value for Online Retailers? Lower Cash Flow Volatility or Enhanced Cash Flows. Journal of Retailing, 94(3), 265–279. https://doi.org/10.1016/J.JRETAI.2018.05.001
Kawaf, F., & Tagg, S. (2017). The construction of online shopping experience: A repertory grid approach. Computers in Human Behavior, 72, 222–232. https://doi.org/10.1016/J.CHB.2017.02.055
Kim, Y. J., & Han, J. (2014). Why smartphone advertising attracts customers: A model of Web advertising, flow, and personalization. Computers in Human Behavior, 33, 256–269. https://doi.org/10.1016/J.CHB.2014.01.015
Klaus, P. (2013). The case of Amazon.com: Towards a conceptual framework of online customer service experience (OCSE) using the emerging consensus technique (ECT). Journal of Services Marketing, 27(6), 443–457. https://doi.org/10.1108/JSM-02-2012-0030
Kumar, V., & Reinartz, W. (2016). Creating Enduring Customer Value: Https://Doi.Org/10.1509/Jm.15.0414, 80(6), 36–68. https://doi.org/10.1509/JM.15.0414
Lambillotte, L., Magrofuoco, N., Poncin, I., & Vanderdonckt, J. (2022). Enhancing playful customer experience with personalization. Journal of Retailing and Consumer Services, 68, 103017. https://doi.org/10.1016/J.JRETCONSER.2022.103017
Lee, Z. W. Y., Chan, T. K. H., Chong, A. Y. L., & Thadani, D. R. (2019). Customer engagement through omnichannel retailing: The effects of channel integration quality. Industrial Marketing Management, 77, 90–101. https://doi.org/10.1016/J.INDMARMAN.2018.12.004
Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69–96. https://doi.org/10.1509/JM.15.0420
Leroi-Werelds, S., Streukens, S., Brady, M. K., & Swinnen, G. (2014). Assessing the value of commonly used methods for measuring customer value: A multi-setting empirical study. Journal of the Academy of Marketing Science, 42(4), 430–451. https://doi.org/10.1007/S11747-013-0363-4
Maguire, L., & Geiger, S. (2015). Emotional timescapes: The temporal perspective and consumption emotions in services. Journal of Services Marketing, 29(3), 211–223. https://doi.org/10.1108/JSM-02-2014-0047
Manthiou, A., Hickman, E., & Klaus, P. (2020). Beyond good and bad: Challenging the suggested role of emotions in customer experience (CX) research. Journal of Retailing and Consumer Services, 57(August), 102218. https://doi.org/10.1016/j.jretconser.2020.102218
Mayer, Christopher & Schwager, A. (n.d.). (PDF) Understanding Customer Experience | Benson Huang - Academia.edu. Retrieved May 21, 2022, from https://www.academia.edu/8781181/Understanding_Customer_Experience
McLean, G., Al-Nabhani, K., & Wilson, A. (2018). Developing a mobile application customer experience model (MACE) - implications for retailers. Journal of Business Research, 85, 325–336. https://doi.org/10.1016/J.JBUSRES.2018.01.018
Mirabi, V., Akbariyeh, H., & Tahmasebifard, H. (2015). A Study of Factors Affecting on Customers Purchase Intention Case Study : the Agencies of Bono Brand Tile in Tehran. Journal of Multidisciplinary Engineering Science and Technology (JMEST), 2(1), 267–273.
Montgomery, A. L., & Smith, M. D. (2009). Prospects for Personalization on the Internet. Journal of Interactive Marketing, 23(2), 130–137. https://doi.org/10.1016/J.INTMAR.2009.02.001
Morosan, C., & DeFranco, A. (2016). Modeling guests' intentions to use mobile apps in hotels: The roles of personalization, privacy, and involvement. International Journal of Contemporary Hospitality Management, 28(9), 1968–1991. https://doi.org/10.1108/IJCHM-07-2015-0349/FULL/XML
Ou, Y. C., & Verhoef, P. C. (2017). The impact of positive and negative emotions on loyalty intentions and their interactions with customer equity drivers. Journal of Business Research, 80, 106–115. https://doi.org/10.1016/J.JBUSRES.2017.07.011
Pagani, M., Racat, M., & Hofacker, C. F. (2019). Adding Voice to the Omnichannel and How that Affects Brand Trust. Journal of Interactive Marketing, 48, 89–105. https://doi.org/10.1016/J.INTMAR.2019.05.002
Pappas, I. O., Kourouthanassis, P. E., Giannakos, M. N., & Chrissikopoulos, V. (2016). Explaining online shopping behavior with fsQCA: The role of cognitive and affective perceptions. Journal of Business Research, 69(2), 794–803. https://doi.org/10.1016/j.jbusres.2015.07.010
Pfister, H.-R., & Böhm, G. (n.d.). The multiplicity of emotions: A framework of emotional functions in decision making. - PsycNET. Retrieved May 19, 2022, from https://psycnet.apa.org/record/2008-01400-002
Piccoli, G., Lui, T. W., & Grün, B. (2017). The impact of IT-enabled customer service systems on service personalization, customer service perceptions, and hotel performance. Tourism Management, 59, 349–362. https://doi.org/10.1016/J.TOURMAN.2016.08.015
Rahman, S. M., Carlson, J., Gudergan, S. P., Wetzels, M., & Grewal, D. (2022). Perceived Omnichannel Customer Experience (OCX): Concept, measurement, and impact. Journal of Retailing. https://doi.org/10.1016/J.JRETAI.2022.03.003
Ramanathan, S & Williams, S. (2007). Immediate and Delayed Emotional Consequences of Indulgence: The Moderating Influence of Personality Type on Mixed Emotions. Journal of Consumer Research, 34(2), 212–223. https://doi.org/10.1086/519149
Roggeveen, A. L., & Rosengren, S. (2022). From customer experience to human experience: Uses of systematized and non-systematized knowledge. Journal of Retailing and Consumer Services, 67, 102967. https://doi.org/10.1016/j.jretconser.2022.102967
Rose, S., Clark, M., Samouel, P., & Hair, N. (2012). Online Customer Experience in e-Retailing: An empirical model of Antecedents and Outcomes. Journal of Retailing, 88(2), 308–322. https://doi.org/10.1016/J.JRETAI.2012.03.001
Salonen, V., & Karjaluoto, H. (2016). Web Personalization : The State of the Art and Future Avenues for Research and Practice. Telematics and Informatics, 33(4), 1088–1104. https://doi.org/10.1016/J.TELE.2016.03.004
Shah, S. I., Shahzad, A., Ahmed, T., & Ahmed, I. (2012). Factors affecting Pakistan's university students' purchase intention towards foreign apparel brands. Management (Croatia), 17(1), 1–14.
Shen, X. L., Li, Y. J., Sun, Y., & Wang, N. (2018). Channel integration quality, perceived fluency and omnichannel service usage: The moderating roles of internal and external usage experience. Decision Support Systems, 109, 61–73. https://doi.org/10.1016/J.DSS.2018.01.006
Shi, S., Wang, Y., Chen, X., & Zhang, Q. (2020). Conceptualization of omnichannel customer experience and its impact on shopping intention: A mixed-method approach. International Journal of Information Management, 50, 325–336. https://doi.org/10.1016/J.IJINFOMGT.2019.09.001
Shim, S., Eastlick, M. A., Lotz, S. L., & Warrington, P. (2001). An online pre-purchase intentions model: The role of intention to search: Best Overall Paper Award - The Sixth Triennial AMS/ACRA Retailing Conference, 2000. Journal of Retailing, 77(3), 397–416. https://doi.org/10.1016/S0022-4359(01)00051-3
Spielmann, N. (2021). Green is the New White: How Virtue Motivates Green Product Purchase. Journal of Business Ethics, 173(4), 759–776. https://doi.org/10.1007/S10551-020-04493-6
Tomczyk, A. T., Buhalis, D., Fan, D. X. F., & Williams, N. L. (2022). Price-personalization: Customer typology based on hospitality business. Journal of Business Research, 147(April), 462–476. https://doi.org/10.1016/j.jbusres.2022.04.036
Tyrväinen, O., Karjaluoto, H., & Saarijärvi, H. (2020). Personalization and hedonic motivation in creating customer experiences and loyalty in omnichannel retail. Journal of Retailing and Consumer Services, 57(December 2019). https://doi.org/10.1016/j.jretconser.2020.102233
van Osselaer, S. M. J., Fuchs, C., Schreier, M., & Puntoni, S. (2020). The Power of Personal. Journal of Retailing, 96(1), 88–100. https://doi.org/10.1016/J.JRETAI.2019.12.006
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(2), 174–181. https://doi.org/10.1016/J.JRETAI.2015.02.005
von Briel, F. (2018). The future of omnichannel retail: A four-stage Delphi study. Technological Forecasting and Social Change, 132, 217–229. https://doi.org/10.1016/J.TECHFORE.2018.02.004
Xu, X. (2020). Examining the role of emotion in online consumer reviews of various attributes in the surprise box shopping model. Decision Support Systems, 136(June), 113344. https://doi.org/10.1016/j.dss.2020.113344
Yoo, B., Donthu, N., & Lee, S. (2000). An examination of selected marketing mix elements and brand equity. Journal of the Academy of Marketing Science 2000 28:2, 28(2), 195–211. https://doi.org/10.1177/0092070300282002
Zhang, M., Ren, C., Wang, G. A., & He, Z. (2018). The impact of channel integration on consumer responses in omni-channel retailing: The mediating effect of consumer empowerment. Electronic Commerce Research and Applications, 28, 181–193. https://doi.org/10.1016/J.ELERAP.2018.02.002
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