The determinant factors of continuance intention to revisit omnichannel retailer companies: mean-end chain theory approach

References

• Ahmed, H., & Syed, S.-U.-H. (2021). Omnichannel customer experience in the context of omnichannel shopping value: The moderating role of omnichannel intensity (a focus on fashion retail in Pakistan). KASBIT Business Journal, 14(1), 1–19. https://kasbitoric.com/index.php/kbj/article/view/149
   Google Scholar
• Ali Memon, M., Ting, H., Cheah, J.-H., Thurasamy, R., Chuah, F., & Huei Cham, T. (2020). Sample size for survey research: Review and recommendations. Journal of Applied Structural Equation Modeling, 4(2), i–xx. https://doi.org/10.47263/JASEM.4(2)01
   Google Scholar
• Ameen, N., Tarhini, A., Shah, M., & Madichie, N. O. (2020). Going with the flow: Smart shopping malls and omnichannel retailing. Journal of Services Marketing, 35(3), 325–348. https://doi.org/10.1108/JSM-02-2020-0066
   Web of Science ®Google Scholar
• Asare, C., Majeed, M., & Cole, N. A. (2022). Omnichannel integration quality, perceived value, and brand loyalty in the consumer electronics market: The mediating effect of consumer personality. Lecture Notes in Networks and Systems, 392, 29–45. https://doi.org/10.1007/978-981-19-0619-0_4
   Google Scholar
• Bagozzi, R. P., & Yi, Y. (2012). Specification, evaluation, and interpretation of structural equation models. Journal of the Academy of Marketing Science, 40(1), 8–34. https://doi.org/10.1007/s11747-011-0278-x
   Web of Science ®Google Scholar
• Blom, A., Lange, F., & Hess, R. L. (2021). Omnichannel promotions and their effect on customer satisfaction. European Journal of Marketing, 55(13), 177–201. https://doi.org/10.1108/EJM-12-2018-0866/FULL/PDF
   Web of Science ®Google Scholar
• Borgardt, E. (2020). Means-end chain theory: A critical review of literature. Prace Naukowe Uniwersytetu Ekonomicznego We Wrocławiu, 64(3), 141–160. https://doi.org/10.15611/pn.2020.3.12
   Google Scholar
• Cai, L., Yuen, K. F., Fang, M., & Wang, X. (2023). A literature review on the impact of the COVID-19 pandemic on consumer behaviour: Implications for consumer-centric logistics. Asia Pacific Journal of Marketing and Logistics, 35(11), 2682–2703. https://doi.org/10.1108/APJML-08-2022-0731/FULL/XML
   Web of Science ®Google Scholar
• Cattapan, T., & Pongsakornrungsilp, S. (2022). Impact of omnichannel integration on millennials’ purchase intention for fashion retailer. Cogent Business & Management, 9(1), 1–26. https://doi.org/10.1080/23311975.2022.2087460
   Web of Science ®Google Scholar
• Chang, Y., & Geng, L. (2022). Planned or unplanned purchases? The effects of perceived values on omnichannel continuance intention. International Journal of Retail & Distribution Management, 50(12), 1535–1551. https://doi.org/10.1108/IJRDM-01-2021-0012
   Web of Science ®Google Scholar
• Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). L. Erlbaum Associates.
   Google Scholar
• Cotarelo, M., Fayos, T., Calderón, H., & Mollá, A. (2021). Omni-channel intensity and shopping value as key drivers of customer satisfaction and loyalty. Sustainability, 13(11), 5961. https://doi.org/10.3390/su13115961
   Web of Science ®Google Scholar
• 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, 12–22. https://doi.org/10.1016/j.jbusres.2020.12.056
   Web of Science ®Google Scholar
• Gardial, S. F., Clemons, D. S., Woodruff, R. B., Schumann, D. W., & Burns, M. J. (1994). Comparing consumers’ recall of prepurchase and postpurchase product evaluation experiences. Journal of Consumer Research, 20(4), 548–560. https://doi.org/10.1086/209369
   Web of Science ®Google Scholar
• Grewal, D., & Roggeveen, A. L. (2020). Understanding retail experiences and customer journey management. Journal of Retailing, 96(1), 3–8. https://doi.org/10.1016/j.jretai.2020.02.002
   Web of Science ®Google Scholar
• Gunawan, A. R., Ratnaningtyas, S., & Wibowo, S. A. (2023). Proposed omnichannel strategy to increase sales revenue in a fashion retail company (Case: La Omvi). International Journal of Current Science Research and Review, 6(6), 3729–3747. https://doi.org/10.47191/ijcsrr/V6-i6-63
   Google Scholar
• Gutman, J. (1982). A means-end chain model based on consumer categorization processes. Journal of Marketing, 46(2), 60–72. https://doi.org/10.1177/002224298204600207
   Web of Science ®Google Scholar
• Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage. www.cengage.com/highered
   Google Scholar
• Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A primer on partial least squares structural equation modeling (PLS-SEM). SAGE Publication. https://us.sagepub.com/en-us/nam/a-primer-on-partial-least-squares-structural-equation-modeling-pls-sem/book270548
   Google Scholar
• Hair, J., Hult, G. T., Ringle, C., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM). Sage.
   Google Scholar
• 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
   Web of Science ®Google Scholar
• Hickman, E., Kharouf, H., & Sekhon, H. (2020). An omnichannel approach to retailing: demystifying and identifying the factors influencing an omnichannel experience. The International Review of Retail, Distribution and Consumer Research, 30(3), 266–288. https://doi.org/10.1080/09593969.2019.1694562
   Web of Science ®Google Scholar
• 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 & Management, 57(8), 103390. https://doi.org/10.1016/j.im.2020.103390
   Web of Science ®Google Scholar
• Huang, S. L., & Hung, M. S. (2023). Exploring factors influencing consumers’ participation in online shopping days: Using double 11 day as an example. Journal of Organizational Computing and Electronic Commerce, 33(3–4), 133–161. https://doi.org/10.1080/10919392.2023.2261811
   Web of Science ®Google Scholar
• Huré, E., Picot-Coupey, K., & Ackermann, C. L. (2017). Understanding omni-channel shopping value: A mixed-method study. Journal of Retailing and Consumer Services, 39, 314–330. https://doi.org/10.1016/j.jretconser.2017.08.011
   Web of Science ®Google Scholar
• Jin, N. P., Lee, S., & Lee, H. (2015). The effect of experience quality on perceived value, satisfaction, image and behavioral intention of water park patrons: New versus repeat visitors. International Journal of Tourism Research, 17(1), 82–95. https://doi.org/10.1002/jtr.1968
   Web of Science ®Google Scholar
• Khattak, A., Tabash, M. I., Yousaf, Z., Radulescu, M., Nassani, A. A., & Haffar, M. (2022). Towards innovation performance of SMEs: Investigating the role of digital platforms, innovation culture and frugal innovation in emerging economies. Journal of Entrepreneurship in Emerging Economies, 14(5), 796–811. https://doi.org/10.1108/JEEE-08-2021-0318
   Web of Science ®Google Scholar
• Kim, C., Costello, F. J., & Lee, K. C. (2020). The unobserved heterogeneneous influence of gamification and novelty-seeking traits on consumers’ repurchase intention in the omnichannel retailing. Frontiers in Psychology, 11, 1664. https://doi.org/10.3389/fpsyg.2020.01664
   PubMed Web of Science ®Google Scholar
• Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration, 11(4), 1–10. https://doi.org/10.4018/ijec.2015100101
   Web of Science ®Google Scholar
• Kock, N., & Lynn, G. S. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for Information Systems, 13(7), 546–580. https://doi.org/10.17705/1jais.00302
   Web of Science ®Google Scholar
• Kopot, C., & Cude, B. J. (2021). Channel depth or consistency? A study on establishing a sustainable omnichannel strategy for fashion department store retailers. Sustainability, 13(13), 6993. https://doi.org/10.3390/su13136993
   Web of Science ®Google Scholar
• Kumar, V., & Ayodeji, O. G. (2021). E-retail factors for customer activation and retention: An empirical study from Indian e-commerce customers. Journal of Retailing and Consumer Services, 59, 102399. https://doi.org/10.1016/j.jretconser.2020.102399
   Web of Science ®Google Scholar
• Lazaris, C., Sarantopoulos, P., Vrechopoulos, A., & Doukidis, G. (2021). Effects of increased omnichannel integration on customer satisfaction and loyalty intentions. International Journal of Electronic Commerce, 25(4), 440–468. https://doi.org/10.1080/10864415.2021.1967005
   Web of Science ®Google Scholar
• Leão, P., & da Silva, M. M. (2021). Impacts of digital transformation on firms’ competitive advantages: A systematic literature review. Strategic Change, 30(5), 421–441. https://doi.org/10.1002/jsc.2459
   Google Scholar
• 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
   Web of Science ®Google Scholar
• Lehrer, C., & Trenz, M. (2022). Omnichannel business. Electronic Markets, 32(2), 687–699. https://doi.org/10.1007/s12525-021-00511-1
   Web of Science ®Google Scholar
• Liang, Z. X., Lai, K. P., Chong, S. C., & Tan, C. L. (2022). Understanding Malaysian students online service experiences for achieving sustainability in private higher education institutions. Journal of Sustainability Science and Management, 17(4), 161–182. https://doi.org/10.46754/jssm.2022.4.013
   Google Scholar
• Lim, X. J., Cheah, J. H., Dwivedi, Y. K., & Richard, J. E. (2022). Does retail type matter? Consumer responses to channel integration in omni-channel retailing. Journal of Retailing and Consumer Services, 67, 102992. https://doi.org/10.1016/j.jretconser.2022.102992
   Web of Science ®Google Scholar
• Limanseto, H. (2022, April 1). Akselerasi Ekonomi Digital pada e-Commerce dan Online Travel Menjadi Salah Satu Strategi Efektif Mendorong Kinerja Perekonomian Nasional. Biro Komunikasi, Layanan Informasi, Dan Persidangan Kementerian Koordinator Bidang Perekonomian. https://www.ekon.go.id/publikasi/detail/3978/akselerasi-ekonomi-digital-pada-e-commerce-dan-online-travelmenjadi-salah-satu-strategi-efektif-mendorong-kinerja-perekonomian-nasional
   Google Scholar
• Moriuchi, E., & Takahashi, I. (2023). An empirical study on repeat consumer’s shopping satisfaction on C2C e-commerce in Japan: The role of value, trust and engagement. Asia Pacific Journal of Marketing and Logistics, 35(3), 560–581. https://doi.org/10.1108/APJML-08-2021-0631
   Web of Science ®Google Scholar
• Mosquera, A., Olarte Pascual, C., & Juaneda Ayensa, E. (2017). Understanding the customer experience in the age of omni-channel shopping. Revista ICONO14 Revista Científica de Comunicación y Tecnologías Emergentes, 15(2), 92–114. https://doi.org/10.7195/ri14.v15i2.1070
   Google Scholar
• Mukherjee, M., & Wood, J. (2021). Consolidating unorganised retail businesses through digital platforms: Implications for achieving the un sustainable development goals. Sustainability, 13(21), 12031. https://doi.org/10.3390/su132112031
   Web of Science ®Google Scholar
• Olson, J. C., & Reynolds, T. J. (1983). Understanding consumers’ cognitive structures: Implications for advertising strategy. Advertising and Consumer Psychology, 1, 77–90.
   Google Scholar
• Pereira, M. L., de La Martinière Petroll, M., Soares, J. C., Matos, C. A., & 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
   Web of Science ®Google Scholar
• Podsakoff, P. M., & Organ, D. W. (1986). Self-reports in organizational research: Problems and prospects. Journal of Management, 12(4), 531–544. https://doi.org/10.1177/014920638601200408
   Web of Science ®Google Scholar
• Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891. https://doi.org/10.3758/BRM.40.3.879
   PubMed Web of Science ®Google Scholar
• Rahman, S. M., Carlson, J., & Chowdhury, N. H. (2022). SafeCX: A framework for safe customer experience in omnichannel retailing. Journal of Services Marketing, 36(4), 499–529. https://doi.org/10.1108/JSM-04-2021-0114
   Web of Science ®Google Scholar
• 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, 98, 611–632. https://doi.org/10.1016/j.jretai.2022.03.003
   Web of Science ®Google Scholar
• Riaz, H., Baig, U., Meidute-Kavaliauskiene, I., & Ahmed, H. (2021). Factors effecting omnichannel customer experience: Evidence from fashion retail. Information, 13(1), 12. https://doi.org/10.3390/info13010012
   Google Scholar
• Roggeveen, A. L., & Sethuraman, R. (2020). Customer-interfacing retail technologies in 2020 & beyond: An integrative framework and research directions. Journal of Retailing, 96(3), 299–309. https://doi.org/10.1016/j.jretai.2020.08.001
   Web of Science ®Google Scholar
• Rusanen, O. (2018). Crafting an omnichannel strategy: Identifying sources of competitive advantage and implementation barriers. In Piotrowicz, W., Cuthbertson, R. (Eds.), Exploring Omnichannel Retailing. (pp. 11–46). Cham: Springer. https://doi.org/10.1007/978-3-319-98273-1_2
   Google Scholar
• Ryu, J. S., Fortenberry, S., & Warrington, P. (2023). Understanding omnichannel shopping behaviors: Incorporating channel integration into the theory of reasoned action. Journal of Consumer Sciences, 8(1), 15–26. https://doi.org/10.29244/jcs.8.1.15-26
   Google Scholar
• Saghiri, S., & Mirzabeiki, V. (2021). Omni-channel integration: The matter of information and digital technology. International Journal of Operations & Production Management, 41(11), 1660–1710. https://doi.org/10.1108/IJOPM-04-2021-0262
   Web of Science ®Google Scholar
• Sarstedt, M., Hair, J. F., & Ringle, C. M. (2022). “PLS-SEM: Indeed a silver bullet”–Retrospective observations and recent advances. Journal of Marketing Theory and Practice, 31(3), 261–275. https://doi.org/10.1080/10696679.2022.2056488
   Web of Science ®Google Scholar
• Sarstedt, M., Hair, J. F., Cheah, J. H., Becker, J. M., & Ringle, C. M. (2019). How to specify, estimate, and validate higher-order constructs in PLS-SEM. Australasian Marketing Journal, 27(3), 197–211. https://doi.org/10.1016/j.ausmj.2019.05.003
   Web of Science ®Google Scholar
• Sarstedt, M., Hair, J. F., Pick, M., Liengaard, B. D., Radomir, L., & Ringle, C. M. (2022). Progress in partial least squares structural equation modeling use in marketing research in the last decade. Psychology & Marketing, 39(5), 1035–1064. https://doi.org/10.1002/mar.21640
   Web of Science ®Google Scholar
• SEADS (2021). Economy SEA 2021—Roaring 20s: The SEA Digital Decade. SEADS. https://seads.adb.org/report/e-conomy-sea-2021-roaring-20s-sea-digital-decade
   Google Scholar
• Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: Guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2322–2347. https://doi.org/10.1108/EJM-02-2019-0189
   Web of Science ®Google Scholar
• Sirclo (2020). Kenali Pelanggan Omnichannel E-Commerce dan Faktor Perilaku Berbelanjanya. SIRCLO. https://www.sirclo.com/blog/kenali-pelanggan-omnichannel-e-commerce-dan-faktor-perilaku-berbelanjanya/
   Google Scholar
• 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
   Web of Science ®Google Scholar
• Statistik, D. (2022). Statistik E-commerce 2022. https://www.bps.go.id/publication/2022/12/19/d215899e13b89e516caa7a44/statistik-e-commerce-2022.html
   Google Scholar
• Sugiat, M., Saabira, N., & Witarsyah, D. (2023). Omni-channel service analysis of purchase intention. International Journal on Informatics Visualization, 7(4), 2543–2549. https://doi.org/10.30630/joiv.7.4.2442
   Google Scholar
• Thaichon, P., Quach, S., Barari, M., & Nguyen, M. (2023). Exploring the role of omnichannel retailing technologies: Future research directions. Australasian Marketing Journal. https://doi.org/10.1177/14413582231167664
   Web of Science ®Google Scholar
• Timoumi, A., Gangwar, M., & Mantrala, M. K. (2022). Cross-channel effects of omnichannel retail marketing strategies: A review of extant data-driven research. Journal of Retailing, 98(1), 133–151. https://doi.org/10.1016/j.jretai.2022.02.008
   Web of Science ®Google Scholar
• Tripathi, A., Bagga, T., Sharma, S., & Vishnoi, S. K. (2021). Big Data-driven marketing enabled business performance: A conceptual framework of information, strategy and customer lifetime value. 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (pp. 315–320). https://doi.org/10.1109/Confluence51648.2021.9377156
   Google Scholar
• Utomo, P., & Kurniasari, F. (2023). The dynamic capability and ambidexterity in the early-stage startups: A hierarchical component model approach. Eurasian Studies in Business and Economics, 25, 49–61. https://doi.org/10.1007/978-3-031-36286-6_3/COVER
   Google Scholar
• Utomo, P., Cham, T.-H., Pek, C.-K., & Mamatkulov, S. (2023). Deep dive into the augmented reality customer experience and adoption research: A bibliometric study. In M. A. Al-Sharafi, M. Al-Emran, G. W.-H. Tan, & K.-B. Ooi (Eds.), Current and future trends on intelligent technology adoption. Studies in computational intelligence (Vol. 1128, pp. 413–433). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-48397-4_21
   Google Scholar
• Uzir, M. U. H., Al Halbusi, H., Lim, R., Jerin, I., Abdul Hamid, A. B., Ramayah, T., & Haque, A. (2021). Applied artificial intelligence and user satisfaction: Smartwatch usage for healthcare in Bangladesh during COVID-19. Technology in Society, 67, 101780. https://doi.org/10.1016/j.techsoc.2021.101780
   Web of Science ®Google Scholar
• Villanova, D., Bodapati, A. V., Puccinelli, N. M., Tsiros, M., Goodstein, R. C., Kushwaha, T., Suri, R., Ho, H., Brandon, R., & Hatfield, C. (2021). Retailer marketing communications in the digital age: Getting the right message to the right shopper at the right time. Journal of Retailing, 97(1), 116–132. https://doi.org/10.1016/J.JRETAI.2021.02.001
   Web of Science ®Google Scholar
• 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, 9(2), 229–242. https://doi.org/10.13106/jafeb.2022.vol9.no2.0229
   Web of Science ®Google Scholar
• Xiao, L., Guo, Z., & D’Ambra, J. (2019). Benefit-based O2O commerce segmentation: A means-end chain approach. Electronic Commerce Research, 19(2), 409–449. https://doi.org/10.1007/s10660-017-9286-3
   Web of Science ®Google Scholar
• Xiao, L., Zhang, Y., & Fu, B. (2019). Exploring the moderators and causal process of trust transfer in online-to-offline commerce. Journal of Business Research, 98, 214–226. https://doi.org/10.1016/j.jbusres.2019.01.069
   Web of Science ®Google Scholar
• Yao, P., Sabri, M. F., Osman, S., Zainudin, N., & Li, Y. (2023). Consumers continued intention to use online-to-offline (O2O) services in omnichannel retail: Differences between to-shop and to-home models. Sustainability, 15(2), 945. https://doi.org/10.3390/su15020945
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• Zhu, Y., Li, Y., Liu, L., Liu, H., & Zhong, Q. (2022). Effect of online–offline informational integration on customer patronage: The mediating roles of customer satisfaction and perceived deception. Journal of Data, Information and Management, 4(3–4), 291–303. https://doi.org/10.1007/s42488-022-00081-7
   Google Scholar