Research Article
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Interaction of Omni Channel Customer Experience, Brand Image and Perceived Risk: An Empirical Investigation

Year 2025, Volume: 12 Issue: 1, 18 - 43, 30.06.2025
https://doi.org/10.47097/piar.1618865

Abstract

Omni channel can be defined as the ability of online, mobile and physical channels to act as if they were a single channel by integrating them with each other. By providing integration between channels with omni channel strategies, customer experience is optimized and this positively affects consumer behavior. When the studies conducted are examined, it has been revealed that brand image and perceived risk are affected as a result of customers' experience with omni channel strategies. The aim of the study is to examine the effect of consumers' omni channel experiences on brand image and to determine the mediating role of perceived risk in this interaction. The survey developed on the subject was applied in an online environment and data was obtained from 507 participants. In line with the research objectives and hypotheses, explanatory and confirmatory factor analysis, correlation and regression analyses were applied to the obtained data. The bootstrap method was used to determine the mediating effect. As a result of the analyses, it was determined that omni channel customer experience had a significant effect on perceived risk and brand image and that perceived risk had a low level mediating effect in this interaction.

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Omni Kanal Müşteri Deneyimi, Marka İmajı ve Algılanan Risk Etkileşimi: Ampirik Bir Araştırma

Year 2025, Volume: 12 Issue: 1, 18 - 43, 30.06.2025
https://doi.org/10.47097/piar.1618865

Abstract

Omni kanal, online, mobil ve fiziksel kanalların birbirleriyle entegrasyon sağlanarak tek bir kanalmış gibi hareket etme yeteneği olarak ifade edilebilir. Omni kanal stratejileri ile kanallar arası entegrasyon sağlanarak müşteri deneyimi optimize edilmekte ve bu durum tüketici davranışını olumlu yönde etkilemektedir. Yapılan çalışmalar incelendiğinde omni kanal stratejilerini müşterilerin deneyimi sonucunda marka imajı ve algılanan riskin etkilendiği ortaya koyulmuştur. Çalışmanın amacı, tüketicilerin omni kanal deneyimlerinin marka imajına etkisinin incelenmesi ve bu etkileşimde algılanan riskin aracılık rolünü belirlemektir. Konu ile ilgili geliştirilen anket, online ortamda uygulanmış ve 507 katılımcıdan veri elde edilmiştir. Araştırma amaçları ve hipotezleri doğrultusunda, elde edilen verilere açıklayıcı ve doğrulayıcı faktör analizi, korelasyon ve regresyon analizleri uygulanmıştır. Aracı etkisini belirlemek amacıyla bootstrap yöntemi kullanılmıştır. Analizler sonucu, omni kanal müşteri deneyiminin algılanan risk ve marka imajı üzerinde anlamlı bir etkisi olduğu ve bu etkileşimde algılanan riskin düşük düzeyde aracılık etkisi olduğu saptanmıştır.

References

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  • Asmare, A., & Zewdie, S. (2022). Omnichannel retailing strategy: A systematic review, The International Review of Retail, Distribution and Consumer Research, 32(1), 59-79. doi:10.1080/09593969.2021.2024447
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  • Blom, A., Lange, F., & Hess, R. L. (2017). Omnichannel-based promotions’ effects on purchase behavior and brand image. Journal of Retailing and Consumer Services, (39), 286-295.
  • Bodhani, A. (2012). Shops offer the e-tail experience, Engineering & Technology, 7(5), 46–49.
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  • Chellappa, R. K., & Pavlou, P. A. (2002). Perceived information security, financial liability and consumer trust in electronic commerce transactions. Logistics Information Management, 15(5/6), 358–368. doi: 10.1108/09576050210447046
  • Chambers, R., & Lewis, R. (2000). Marketing leadership in hospitality: Foundations and practices. New York: John Wiley & Sons.
  • Chang, Y., P. & Li, J. (2022). Seamless experience in the context of omni channel shopping:Scale development and empirical validation. Journal of Retailing and Consumer Services, (64), 1-20.
  • Chopdar, P. K., & Sivakumar, V. J. (2019). Understanding continuance usage of mobile shopping applications in India: The role of espoused cultural values and perceived risk. Behaviour & Information Technology, 38(1), 42-64.
  • Cook, G. (2014). Customer experience in the omni-channel world and the challenges and opportunities this presents. Journal of Direct, Data and Digital Marketing Practice, 15(4), 262–266.
  • Çomoğlu, G. K. (2022). Bütüncül kanal müşteri deneyiminin sadakat niyetine etkisinde ılişki kalitesinin aracı rolü üzerine bir araştırma [Yayımlanmış doktora tezi]. Marmara Üniversitesi.
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  • Durmuş, B., Yurtkoru, E. S. ve Çinko, M. (2016). Sosyal bilimlerde SPSS'le veri analizi. İstanbul: Beta Yaymları
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal Of Marketing Research, 18(1), 39-50. doi: 88.228.156.39
  • Gao, L., Waechter, K. A., & Bai, X. (2015). Understanding consumers’ continuance intention towards mobile purchase: A theoretical framework and empirical study – A case of China. Computers in Human Behavior, (53), 249-262. doi:10.1007/s10796-015-9611-0
  • Gao, W., Li, W., Fan, H. & Jia, X. (2021). How customer experience ıncongruence affects omnichannel customer retention: The moderating role of channel characteristics. Journal of Retailing and Consumer Services, 60, 1-9.
  • Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regressionbased approach. The Guilford Press.
  • Hsia, T. L., Wu, J. H., Xu, X., Li, Q., Peng, L., & Robinson, S. (2020). Omnichannel retailing: The role of situational involvement in facilitating consumer experiences. Information and Managent, 57(8), 103390.
  • Humbani, M., & Wiese, M. (2019). An integrated framework for the adoption and continuance intention to use mobile payment apps. International Journal of Bank Marketing, 37(2), 646-664. doi: 10.1108/IJBM-03-2018-0072
  • Johnson, O., & Ramirez, S. A. (2021). The influence of showrooming on millennial generational cohorts online shopping behaviour, International Journal of Retail and Distribution Management, 49(1), 81-103.
  • Karagöz, Y. (2017). SPSS ve AMOS uygulamalı bilimsel araştırma yöntemleri ve yayın etiği. Sivas: Nobel Yayınları
  • Kerviler, G., Demoulin, N. T. M., & Zidda, P. (2016). Adoption of instore mobile payment: Are perceived risk and convenience the only drivers? Journal of Retailing and Consumer Services, (31), 334-344. doi: 10.1016/j.jretconser.2016.04.011
  • Konuk, G. (2014). Deneyimsel pazarlama. Ankara: Detay Yayıncılık.
  • Kotler, P., Kartajaya, H., & Setiawan, İ. (2017). Pazarlama 4.0 gelenekselden dijitale geçiş, İstanbul: Optimist.
  • Kimery, K. M., & McCord, M. (2002). Third-party assurances: Mapping the road to trust in e-retailing. Journal of Information Technology Theory and Application, 4(2), 63–81.
  • Lehrer, C., & Trenz, M. (2022). Omnichannel business, Electronic Markets, 32(2), 687-699, doi:10.1007/s12525-021-00511-1
  • Levy, M., & Weitz, A. B. (2012). Retailing management (8th ed.). New York: McGraw-Hill Irwin.
  • Lynch, S., & Barnes, L. (2020). Omnichannel fashion retailing: Examining the customer decisionmaking journey, Journal of Fashion Marketing and Management, 24(3), 471-493.
  • Malhotra, N. K., Nunan, D., & Birks, D. F. (2017). Pazarlama araştırması: Uygulamalı bir yaklaşım. Pearson.
  • Miyazaki, A. D., & Fernandez, A. (2001). Consumer perceptions of privacy and security risks for online shopping. The Journal Of Consumer Affairs, 35(1), 27–44.
  • Mothersbaugh, H., & Hawkins DI. Kleiser. (2020). Consumer behavior framework for omni-channel. Journal of Business Research, (77), 53–67.
  • Oktay, B. (2021). Türkiye'de omni kanal perakendecilik: Bir içerik analizi çalışması [Yayımlanmış yüksek lisans tezi]. Beykent Üniversitesi.
  • Pal, A., De’R, Herath, T., & Rao, H. R. (2019). A review of contextual factors affecting mobile payment adoption and use. Journal of Banking and Financial Technology, 3(1), 43–57. doi:10.4103/jfmpc.jfmpc_214_18
  • Pal, A., Herath, T., De R., & Rao, H. R. (2020). Is the convenience worth the risk? An investigation of mobile payment usage. Information Systems Frontiers, (23), 941-961. Doi:10.1007/s10796-020-10070-z
  • Park, J., Amendah, E., Lee, Y., & Hyun, H. (2019). M-payment service: interplay of perceived risk, benefit and trust in service adoption. Human Factors and Ergonomics in Manufacturing, 29(1), 31-43.  doi: 10.1002/hfm.20750
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There are 73 citations in total.

Details

Primary Language Turkish
Subjects Marketing (Other)
Journal Section Research Articles
Authors

Malik Dündar 0000-0002-3599-7336

Suzan Coban 0000-0002-0723-5895

Early Pub Date June 30, 2025
Publication Date June 30, 2025
Submission Date January 13, 2025
Acceptance Date April 21, 2025
Published in Issue Year 2025 Volume: 12 Issue: 1

Cite

APA Dündar, M., & Coban, S. (2025). Omni Kanal Müşteri Deneyimi, Marka İmajı ve Algılanan Risk Etkileşimi: Ampirik Bir Araştırma. Pamukkale Üniversitesi İşletme Araştırmaları Dergisi, 12(1), 18-43. https://doi.org/10.47097/piar.1618865

PIAR is licensed under a Creative Commons Attribution 4.0 International License.

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