Understanding Omnichannel Consumer Behavior in ‎FMCG:A Mediation-Based Analysis of Perceived ‎Value

Authors

  • Ms. Sharmila R Full-Time Research Scholar, Department of Commerce, Faculty of Science and Humanities, SRM Institute of Science ‎and Technology, Ramapuram, Chennai, Tamil Nadu, India https://orcid.org/0009-0001-1745-0142 (unauthenticated)
  • Dr. Janis Bibiyana D.‎ Associate Professor and Research Supervisor, Department of Commerce, Faculty of Science and Humanities, SRM ‎Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India

DOI:

https://doi.org/10.14419/yb214b94

Keywords:

Continuance Behavior; FMCG; Integration Quality; Omnichannel Retailing; Perceived Value

Abstract

Purpose: This research paper investigates the relationship between the quality of omnichannel integration and ‎perceived value and continuance of omnichannel behavior for fast-moving consumer goods (FMCG). The research is ‎based on the Stimulus-Organism-Response (S-O-R) framework and Expectancy Confirmation Theory (ECT) and ‎identifies four primary dimensions of omnichannel integration.‎

Methodology: An empirical quantitative research approach was used using survey data collected from 390 FMCG ‎consumers in Chennai city to perform statistical analysis using survey data and PLS-SEM analysis. The structural ‎equation model was used to identify the relationship between the four integration dimensions and perceived value ‎. Additionally, mediation and predictive relevance analysis were also conducted.‎

Findings: The findings suggest that three of the four dimensions of omnichannel integration significantly affect ‎perceived value on information consistency, promotion/price consistency, and seamless channel transitions. While ‎product availability alignment did not have a significant impact, perceived value was found to strongly predict ‎continuance behavior and mediate the relationship between the three significant dimensions of omnichannel ‎integration and continuance behavior. The results of the study show that the model has adequate explanatory power ‎and predictive relevance.‎

Practical Implications: To enhance perceived value and foster continued use of their omnichannel capabilities, ‎FMCG retailers should focus on providing consistent information, transparent pricing, and seamless channel ‎integration.‎

Originality Value: The research contributes to the existing body of knowledge around omnichannel by providing ‎empirical support for the premise that perceived value is a key mechanism that links the quality of multiple ‎dimensions of integration with consumers’ behavior in continuing to access the retailer’s offerings through multiple ‎channels‎.

References

Abdelmoety, Z. H., Aboul-Dahab, S., & Agag, G. (2022). A cross-cultural investigation of retailers’ commitment to CSR and customer citizenship behaviour: The role of ethical standards and value relevance. Journal of Retailing and Consumer Services, 64, 102796. https://doi.org/10.1016/j.jretconser.2021.102796.

Al-Adamat, A., Alserhan, A., Almomani, H., Alserhan, J., & Alkhawaldeh, A. (2024). Investigating the influence of omnichannel retailing on con-sumer decision-making in the Jordanian market. Uncertain Supply Chain Management, 12(4), 2159–2166. https://doi.org/10.5267/j.uscm.2024.6.014

Asare, C., Majeed, M., & Cole, N. A. (2022). Omnichannel integration quality, perceived value, and brand loyalty in the consumer electronics mar-ket: The mediating effect of consumer personality. In V. Goar et al. (Eds.), Advances in information communication technology and computing (Lecture Notes in Networks and Systems, Vol. 392). Springer. ttps://doi.org/10.1007/978-981-19-0619-0_4.

Balbín Buckley, J. A., & Marquina Feldman, P. S. (2024). Effects of channel integration on the omnichannel customer experience. Cogent Business & Management, 11(1). https://doi.org/10.1080/23311975.2024.2364841

Bangaly, K. (2021). Understanding customers' continuance intention: Assessing the socioeconomic status effect towards an integrative model. SIGMIS Database: The DATABASE for Advances in Information Systems, 52(2), 68–93. https://doi.org/10.1145/3462766.3462771

Baxendale, S., Macdonald, E. K., & Wilson, H. N. (2015). The impact of different touchpoints on brand consideration. Journal of Retailing, 91(2), 235–253. https://doi.org/10.1016/j.jretai.2014.12.008.

Beck, N., & Rygl, D. (2015). Categorization of multiple channel retailing in multi-, cross-, and omni-channel retailing. Journal of Retailing and Con-sumer Services, 27, 170–178. https://doi.org/10.1016/j.jretconser.2015.08.001

Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351–370. https://doi.org/10.2307/3250921.

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. https://doi.org/10.1016/j.jretconser.2017.08.008

Blut, M., Teller, C., & Floh, A. (2018). Testing retail marketing-mix effects on patronage: A meta-analysis. Journal of Retailing, 94(2), 113–135. https://doi.org/10.1016/j.jretai.2018.03.001

Chang, Y., & Geng, L. (2022). Planned or unplanned purchases? The effects of perceived values on omnichannel continuance intention. Interna-tional Journal of Retail & Distribution Management, 50(12), 1535–1551. https://doi.org/10.1108/IJRDM-01-2021-0012

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates. https://doi.org/10.4324/9780203771587.

Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.

Cui, X., Xie, Q., Zhu, J., Shareef, M. A., Goraya, M. A. S., & Akram, M. S. (2022). Understanding the omnichannel customer journey: The effect of online and offline channel interactivity on consumer value co-creation behavior. Journal of Retailing and Consumer Services, 65, 102869. https://doi.org/10.1016/j.jretconser.2021.102869

Diamantopoulos, A., & Siguaw, J. A. (2006). Formative versus reflective indicators in organizational measure development. British Journal of Man-agement, 17(4), 263–282. https://doi.org/10.1111/j.1467-8551.2006.00500.x.

Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1–4. https://doi.org/10.11648/j.ajtas.20160501.11.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Market-ing Research, 18(1), 39–50. https://doi.org/10.2307/3151312

Gallino, S., & Moreno, A. (2014). Integration of online and offline channels in retail. Management Science, 60(6), 1434–1451. https://doi.org/10.1287/mnsc.2014.1951

Gao, M., & Huang, L. (2021). Quality of channel integration and customer loyalty in omnichannel retailing. Journal of Retailing and Consumer Ser-vices, 63, 102688. https://doi.org/10.1016/j.jretconser.2021.102688.

Grewal, D., Roggeveen, A. L., & Nordfält, J. (2017). The future of retailing. Journal of Retailing, 93(1), 1–6. https://doi.org/10.1016/j.jretai.2016.12.008.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). Sage. https://doi.org/10.1007/978-3-030-80519-7.

Hagberg, J., Sundström, M., & Egels‐Zandén, N. (2016). The digitalization of retailing. International Journal of Retail & Distribution Management, 44(7), 694–712. https://doi.org/10.1108/IJRDM-09-2015-0140.

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity. Journal of the Academy of Marketing Science, 43, 115–135. https://doi.org/10.1007/s11747-014-0403-8.

Herhausen, D., Binder, J., Schoegel, M., & Herrmann, A. (2015). Integrating bricks with clicks. Journal of Retailing, 91(2), 309–325. https://doi.org/10.1016/j.jretai.2014.12.009.

Hossain, T. M. T., Akter, S., Kattiyapornpong, U., & Dwivedi, Y. (2020). Reconceptualizing integration quality dynamics for omnichannel market-ing. Industrial Marketing Management, 87, 225–241. https://doi.org/10.1016/j.indmarman.2019.12.006.

Huré, E., Picot-Coupey, K., & Ackermann, C. L. (2017). Understanding omni-channel shopping value. Journal of Retailing and Consumer Services, 39, 314–330. https://doi.org/10.1016/j.jretconser.2017.08.011.

Janssen, J. (2025). Omnichannel retailing and its effect on purchase intention: Evidence from Indian consumers. International Journal of Research in Marketing Management and Sales, 7(2), 361–366. https://doi.org/10.33545/26633329.2025.v7.i2d.308.

Juaneda-Ayensa, E., Mosquera, A., & Sierra Murillo, Y. (2016). Omnichannel customer behavior. Frontiers in Psychology, 7, 1117. https://doi.org/10.3389/fpsyg.2016.01117.

Kaba, B. (2021). Understanding customers' continuance intention: Assessing the socioeconomic status effect towards an integrative model. SIGMIS Database, 52(2), 68–93. https://doi.org/10.1145/3462766.3462771.

Kang, W., Shao, B., & Chen, H. (2024). What influences users’ continuance intention of internet wealth management services? A perspective from network externalities and herding. Electronic Commerce Research, 24, 205–238. https://doi.org/10.1007/s10660-022-09580-6.

Khalid, B. (2024). Evaluating customer perspectives on omnichannel shopping satisfaction in the fashion retail sector. Heliyon, 10(16), e36027. https://doi.org/10.1016/j.heliyon.2024.e36027.

Lee, K., & Choi, J. (2019). Image–text inconsistency effect on product evaluation in online retailing. Journal of Retailing and Consumer Services, 49, 279–288. https://doi.org/10.1016/j.jretconser.2019.03.015.

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.

Lie, J., & Agrippina, Y. R. (2025). The role of omni-channel integration quality and perceived value in shaping customer satisfaction and loyalty in BCA basic banking services. Journal of Entrepreneurship & Business, 6(2), 119–130. https://doi.org/10.24123/jeb.v6i2.7340.

Lin, Y., & Jen, L. (2024). The impact of consumer heterogeneity in the product life cycle on the diffusion patterns of user reviews and sales. Jour-nal of Retailing and Consumer Services, 76, 103558. https://doi.org/10.1016/j.jretconser.2023.103558.

Liu, Q., Tian, J., & Huang, L. (2024). Influence of omnichannel integration quality on consumer cross-channel retention behavior. Procedia Com-puter Science, 242, 633–639. https://doi.org/10.1016/j.procs.2024.08.120

Luo, L., Sheng, Y., & Song, Y. (2023). A historical review on omni-channel retailing consumer research. Operations and Supply Chain Management, 16(4), 435–449. https://doi.org/10.31387/oscm0550402.

Massi, M., Piancatelli, C., & Vocino, A. (2023). Authentic omnichannel: Providing consumers with a seamless brand experience through authentici-ty. Psychology & Marketing, 40, 1280–1298. https://doi.org/10.1002/mar.21815.

McLean, G., Al-Nabhani, K., & Wilson, A. (2018). Developing a mobile applications customer experience model (MACE): Implications for retailers. Journal of Business Research, 85, 325–336. https://doi.org/10.1016/j.jbusres.2018.01.018.

Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. MIT Press.

Mirzabeiki, V., & Saghiri, S. S. (2020). From ambition to action: How to achieve integration in omni-channel? Journal of Business Research, 110, 1–11. https://doi.org/10.1016/j.jbusres.2019.12.028.

Muthaffar, A., & Vilches-Montero, S. (2023). Empowering retailers: A bounded rationality perspective to enhancing omnichannel journey satisfac-tion. Journal of Retailing and Consumer Services, 75, 103536. https://doi.org/10.1016/j.jretconser.2023.103536.

Natarajan, T., & Raghavan, D. R. V. (2024). How integrated store-service quality promotes omnichannel shoppers’ word-of-mouth behaviors: The moderating role of perceived relationship investment and perceived value. The TQM Journal, 36(4), 1113–1144. https://doi.org/10.1108/TQM-12-2022-0364.

Nguyen, G. D., & Dao, T. H. T. (2024). Factors influencing continuance intention to use mobile banking: An extended expectation-confirmation model with moderating role of trust. Humanities and Social Sciences Communications, 11, 276. https://doi.org/10.1057/s41599-024-02778-z.

Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460–469. https://doi.org/10.2307/3150499.

Pereira, M. L., de La Martinière Petroll, M., Soares, J. C., Matos, C. A. D., & Hernani-Merino, M. (2023). Impulse buying behaviour in omnichannel retail: An approach through the stimulus–organism–response theory. International Journal of Retail & Distribution Management, 51(1), 39–58. https://doi.org/10.1108/IJRDM-09-2021-0394.

Raghavendra, & Yashwini. (2025). Future research directions for expectation confirmation theory in cross-cultural and emerging digital environ-ments. Asian Review of Social Sciences, 14(1), 14–20. https://doi.org/10.70112/arss-2025.14.1.4288.

Rizk, M., El-Samadicy, A., & Negm, E. (2024). The impact of omni-channel integration on Generation Z purchase intentions towards FMCG retail-ers: An empirical study on Egyptian FMCG consumers. Journal of Business and Management Sciences, 12(1), 1–12.

Shamim, A., Abid, M. F., & Ahmad, F. (2024). S–O–R based experiential framework for measuring in-store customer satisfaction in non-fuel retail-ing. Journal of Retailing and Consumer Services, 77, 103672. https://doi.org/10.1016/j.jretconser.2023.103672.

Sharma, D., & Panda, T. K. (2025). Consumer perceived value and decision outcome in multi-channel retail: A systematic literature review. Indian Journal of Marketing, 55(2), 8–32. https://doi.org/10.17010/ijom/2025/v55/i2/174746.

Sharma, N., & Fatima, J. K. (2024). Influence of perceived value on omnichannel usage: Mediating and moderating roles of the omnichannel shop-ping habit. Journal of Retailing and Consumer Services, 77, 103627. https://doi.org/10.1016/j.jretconser.2023.103627.

Song, H. G., & Jo, H. (2023). Understanding the continuance intention of omnichannel: Combining TAM and TPB. Sustainability, 15(4), 3039. https://doi.org/10.3390/su15043039.

Stone, M. (1974). Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society: Series B (Methodologi-cal), 36(2), 111–147. https://doi.org/10.1111/j.2517-6161.1974.tb00994.x.

Sundjaja, A. M., Utomo, P., Matthew, D., Hellianto, G. R., & Putra, N. S. (2024). The determinant factors of continuance intention to revisit omni-channel retailer companies: Mean–end chain theory approach. Cogent Business & Management, 11(1), Article 2332504. https://doi.org/10.1080/23311975.2024.2332504.

Sweeney, J. C., & Soutar, G. N. (2001). Consumer perceived value. Journal of Retailing, 77(2), 203–220. https://doi.org/10.1016/S0022-4359(01)00041-0.

Thaichon, P., Quach, S., Barari, M., & Nguyen, M. (2023). Exploring the role of omnichannel retailing technologies. Australasian Marketing Journal, 32(2), 162–177. https://doi.org/10.1177/14413582231167664.

Trenz, M., Veit, D. J., & Tan, C.-W. (2020). Disentangling the impact of omnichannel integration on consumer behavior in integrated sales channels. MIS Quarterly, 44(3), 1207–1258. https://doi.org/10.25300/MISQ/2020/14121.

Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412

Verhoef, P. C., Kannan, P. K., & Inman, J. J. (2015). From multi-channel retailing to omni-channel retailing. Journal of Retailing, 91(2), 174–181. https://doi.org/10.1016/j.jretai.2015.02.005

Wang, J., & Jiang, X. (2022). The impact of omnichannel shopping experience and channel integration on customer retention: Empirical evidence from China. Journal of Asian Finance, Economics and Business, 9(2), 229–242.

Xia, L., Monroe, K. B., & Cox, J. L. (2004). The price is unfair! Journal of Marketing, 68(4), 1–15. https://doi.org/10.1509/jmkg.68.4.1.42733.

Zhang, M., Ren, C., Wang, G. A., & He, Z. (2018). The impact of channel integration on consumer responses in omni-channel retailing: The mediat-ing effect of consumer empowerment. Electronic Commerce Research and Applications, 28, 181–193. https://doi.org/10.1016/j.elerap.2018.02.002.

Zhao, X., Lynch, J. G., & Chen, Q. (2010). Reconsidering Baron and Kenny. Journal of Consumer Research, 37(2), 197–206. https://doi.org/10.1086/651257

Zhu, B., Kowatthanakul, S., & Satanasavapak, P. (2020). Generation Y consumer online repurchase intention in Bangkok: Based on stimulus–organism–response (SOR) model. International Journal of Retail & Distribution Management, 48(1), 53–69. https://doi.org/10.1108/IJRDM-04-2018-0071

Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value. Journal of Marketing, 52(3), 2–22. https://doi.org/10.1177/002224298805200302.

Downloads

Published

26-01-2026

Issue

Section

Articles

How to Cite

R, M. S., & D.‎ , D. J. B. . (2026). Understanding Omnichannel Consumer Behavior in ‎FMCG:A Mediation-Based Analysis of Perceived ‎Value. International Journal of Accounting and Economics Studies, 13(1), 489-504. https://doi.org/10.14419/yb214b94