This article examines the structural turn in consumer behaviour research from 2020 to 2025 in the context of exogenous shocks and accelerating digitalisation. It argues that consumer decision making has shifted from choices grounded in relatively stable preferences to dynamic adjustment shaped jointly by shocks, platform technologies, and governance rules. This shift makes it necessary to synthesise a rapidly expanding yet difficult to cumulate body of knowledge through a systematic review. Guided by a topic clustering approach, the review identifies seven major research streams in the past five years: (1) Risk and adaptation in crisis and pandemic contexts. (2) Multi touchpoint journeys, experience management, and personalisation mechanisms. (3) AI and algorithm driven human machine interaction, including acceptance and resistance. (4) The effects of socialised content such as livestreaming and short videos on trust and conversion. (5) The influence of immersive technologies such as augmented reality on decision making and purchase intention. (6) Mechanisms of sustainable consumption and circular economy adoption. (7) Governance and intervention pathways addressing consumer wellbeing and the risks of digital manipulation. The review further highlights three core limitations: a lack of interoperable conceptual interfaces across theoretical chains, an overreliance on cross-sectional correlational designs with insufficient causal identification and temporal dynamic evidence. And an underdeveloped explanation of the institutionalisation process from shock to normality, population heterogeneity, and the consequential linking purchase, resistance, exit, and wellbeing outcomes. Building on these gaps, future research should take two core actions. First, it should treat information structures and governance structures as upstream variables to integrate mechanisms across streams, and strengthen evidence bases through longitudinal data, observed behavioural data, and quasi-natural experiments. Second, it should incorporate consumer protection and wellbeing assessment into an overarching explanatory framework for platform-mediated consumption environments. These steps will improve the theoretical cumulativeness and policy relevance of subsequent studies.
References
[1] Hoffmann, S., Mai, R. (2022) Consumer behavior in augmented shopping reality. A review, synthesis, and research agenda. Frontiers in Virtual Reality, 3, 961236.
[2] Rumokoy, F. S., Frank, B. (2025) Retail value creation through augmented reality: the role of task-technology fit, consumer knowledge, and personality. Journal of Retailing and Consumer Services, 84, 104173.
[3] Syed, S., Acquaye, A., Khalfan, M. M., Obuobisa-Darko, T., Yamoah, F. A. (2024) Decoding sustainable consumption behavior: a systematic review of theories and models and provision of a guidance framework. Resources, Conservation & Recycling Advances, 23, 200232.
[4] Vidal-Ayuso, F., Akhmedova, A., Jaca, C. (2023) The circular economy and consumer behaviour: literature review and research directions. Journal of Cleaner Production, 418, 137824.
[5] Lopez, N. S. R., Legardeur, J. (2024) Consumer behaviour in the context of circular economy: a systematic literature review. Proceedings of the Design Society, 4, 1417-1426.
[6] Bhardwaj, P., Kalro, A. D. (2024) Consumer well‐being – a systematic literature review and research agenda using TCCM framework. International Journal of Consumer Studies, 48(1), e12991.
[7] Lee, C. H., Chiu, H. C., Lai, T. C., Yuan, C. W. (2025) Who has your back? Countering dark patterns in online shopping using interpersonal and AI-delivered support. International Journal of Human-computer Studies, 103697.
[8] Acikgoz, F., Perez‐Vega, R., Okumus, F., Stylos, N. (2023) Consumer engagement with AI‐powered voice assistants: a behavioral reasoning perspective. Psychology & Marketing, 40(11), 2226-2243.
[9] Kang, W., Shao, B. (2023) The impact of voice assistants’ intelligent attributes on consumer well-being: findings from PLS-SEM and fsQCA. Journal of Retailing and Consumer Services, 70, 103130.
[10] Kumar, A., Salo, J., Bezawada, R. (2024) The effects of buy now, pay later (BNPL) on customers’ online purchase behavior. Journal of Retailing, 100(4), 602-617.
[11] Wu, B., Guo, G., Luo, P. (2024) The effect of subscriptions on customer engagement. Journal of Business Research, 178, 114638.
[12] Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., Haenlein, M. (2021) Digital transformation: a multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889-901.
[13] Gaston-Breton, C., De Stefano, M. C. (2025) Mapping consumer well-being: contextualization, conceptualization, and classification using topic modeling. Journal of Business Research, 194, 115350.
[14] Wen, J., Li, X. (2025) AI digital human responsiveness and consumer purchase intention: the mediating role of trust. Journal of Theoretical and Applied Electronic Commerce Research, 20(3), 246.
[15] Zaremohzzabieh, Z., Ismail, N., Ahrari, S., Samah, A. A. (2021) The effects of consumer attitude on green purchase intention: a meta-analytic path analysis. Journal of Business Research, 132, 732-743.
[16] Sheth, J. (2020) Impact of Covid-19 on consumer behavior: Will the old habits return or die? Journal of Business Research, 117, 280-283.
[17] Donthu, N., Gustafsson, A. (2020) Effects of COVID-19 on business and research. Journal of Business Research, 117, 284-289.
[18] Kirk, C. P., Rifkin, L. S. (2020) I’ll trade you diamonds for toilet paper: consumer reacting, coping and adapting behaviors in the COVID-19 pandemic. Journal of Business Research, 117, 124-131.
[19] Laato, S., Islam, A. N., Farooq, A., Dhir, A. (2020) Unusual purchasing behavior during the early stages of the COVID-19 pandemic: the stimulus-organism-response approach. Journal of Retailing and Consumer Services, 57, 102224.
[20] Güngördü Belbağ, A. (2022) Impacts of Covid‐19 pandemic on consumer behavior in Turkey: a qualitative study. Journal of Consumer Affairs, 56(1), 339-358.
[21] Zwanka, R. J., Buff, C. (2021) COVID-19 generation: a conceptual framework of the consumer behavioral shifts to be caused by the COVID-19 pandemic. Journal of International Consumer Marketing, 33(1), 58-67.
[22] Eger, L., Komárková, L., Egerová, D., Mičík, M. (2021) The effect of COVID-19 on consumer shopping behaviour: generational cohort perspective. Journal of Retailing and Consumer Services, 61, 102542.
[23] Guèvremont, A., Boivin, C., Durif, F., Graf, R. (2022) Positive behavioral change during the COVID‐19 crisis: the role of optimism and collective resilience. Journal of Consumer Behaviour, 21(6), 1293-1306.
[24] Cham, T. H., Cheng, B. L., Lee, Y. H., Cheah, J. H. (2023) Should I buy or not? Revisiting the concept and measurement of panic buying. Current Psychology, 42(22), 19116-19136.
[25] Grewal, D., Roggeveen, A. L. (2020) Understanding retail experiences and customer journey management. Journal of Retailing, 96(1), 3-8.
[26] 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.
[27] Van Osselaer, S. M., Fuchs, C., Schreier, M., Puntoni, S. (2020) The power of personal. Journal of Retailing, 96(1), 88-100.
[28] Cloarec, J. (2020) The personalization-privacy paradox in the attention economy. Technological Forecasting and Social Change, 161, 120299.
[29] Jung, J., Mittal, V. (2020) Political identity and the consumer journey: a research review. Journal of Retailing, 96(1), 55-73.
[30] Shavitt, S., Barnes, A. J. (2020) Culture and the consumer journey. Journal of Retailing, 96(1), 40-54.
[31] Thomas, T. C., Epp, A. M., Price, L. L. (2020) Journeying together: Aligning retailer and service provider roles with collective consumer practices. Journal of Retailing, 96(1), 9-24.
[32] Puntoni, S., Reczek, R. W., Giesler, M., Botti, S. (2021) Consumers and artificial intelligence: an experiential perspective. Journal of Marketing, 85(1), 131-151.
[33] Huang, M. H., Rust, R. T. (2021) A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30-50.
[34] Crolic, C., Thomaz, F., Hadi, R., Stephen, A. T. (2022) Blame the bot: Anthropomorphism and anger in customer-chatbot interactions. Journal of Marketing, 86(1), 132-148.
[35] Yang, H., Li, D., Hu, P. (2024) Decoding algorithm fatigue: the role of algorithmic literacy, information cocoons, and algorithmic opacity. Technology in Society, 79, 102749.
[36] Witte, J., Kenning, P., Brock, C. (2025) Dark patterns in online retailing: an analysis based on information manipulation theory. European Journal of Marketing, 59(13), 597-625.
[37] Lee, C. H., Chen, C. W. (2021) Impulse buying behaviors in live streaming commerce based on the stimulus-organism-response framework. Information, 12(6), 241.
[38] Luo, C., Hasan, N. A. M., Zamri bin Ahmad, A. M. T., Lei, G. (2025) Influence of short video content on consumers purchase intentions on social media platforms with trust as a mediator. Scientific Reports, 15(1), 16605.
[39] Li, Y., García-de-Frutos, N., Ortega-Egea, J. M. (2025) Impulse buying in live streaming e-commerce: a systematic literature review and future research agenda. Computers in Human Behavior Reports, 19, 100676.
[40] Cummings, K. H., Zafari, B., Beitelspacher, L. (2025) Canceled! Exploring the phenomenon of canceling. Journal of Business Research, 186, 115025.
[41] Uhm, J. P., Kim, S., Do, C., Lee, H. W. (2022) How augmented reality (AR) experience affects purchase intention in sport E-commerce: roles of perceived diagnosticity, psychological distance, and perceived risks. Journal of Retailing and Consumer Services, 67, 103027.
[42] Zhuang, W., Luo, X., Riaz, M. U. (2021) On the factors influencing green purchase intention: a meta-analysis approach. Frontiers in Psychology, 12, 644020.
[43] Minton, E. A., Tan, S. J., Tambyah, S. K., Liu, R. L. (2022) Drivers of sustainability and consumer well-being: an ethically-based examination of religious and cultural values. Journal of Business Ethics, 175(1), 167-190.
[44] Pradhan, D., Rup, B. K., Lyngdoh, T., Chefor, E., Pahi, S. A., Kuanr, A. (2025) The evolution of consumer well-being over the last four decades: a comprehensive review and future directions. Acta Psychologica, 260, 105662.
[45] Xiao, J. J., Porto, N. (2022) Financial capability and wellbeing of vulnerable consumers. Journal of Consumer Affairs, 56(2), 1004-1018.
[46] Duarte, P., Linardi, M. A., Domingues, H. S., Silva, S. C. (2023) Consumer vulnerability and well-being across contexts: implications for international businesses. Heliyon, 9(3), e14612.
[47] Anas, M., Khan, M. N., Rahman, O., Uddin, S. F. (2022) Why consumers behaved impulsively during COVID-19 pandemic? South Asian Journal of Marketing, 3(1), 7-20.
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Gan, W., Xiao, M., Yue, Q., Li, L., He, Y., Zhao, L., & Mohammed, T. A. (2025) A Literature Review on Research Topic Clusters, Methodological Evolution, and Thematic Shifts in Consumer Behavior Studies from 2020 to 2025. Journal of Social Development and History, 1(1), 44-58. https://doi.org/10.71052/jsdh/RKKP5016