Digital Financial Decisions: Evidence on Social Influence, Technology, and Herd Behavior in Emerging Financial Ecosystems
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Ahmad, M., & Shah, S. Z. A. (2022). Overconfidence heuristic-driven bias in investment decision-making and performance: mediating effects of risk perception and moderating effects of financial literacy. Journal of Economic and Administrative Sciences, 38(1), 60–90. https://doi.org/10.1108/JEAS-07-2020-0116
Ahmed, Z., Rasool, S., Saleem, Q., Khan, M. A., & Kanwal, S. (2022). Mediating role of risk perception between behavioral biases and investor’s investment decisions. Sage Open, 12(2), 21582440221097390. https://doi.org/10.1177/21582440221097394
Akanfe, O., Bhatt, P., & Lawong, D. A. (2025). Technology advancements shaping the financial inclusion landscape: present interventions, emergence of artificial intelligence and future directions. Information Systems Frontiers, 27(5), 2189–2212. https://doi.org/10.1007/s10796-025-10597-z
Akhtar, F., Thyagaraj, K. S., & Das, N. (2018). The impact of social influence on the relationship between personality traits and perceived investment performance of individual investors: Evidence from Indian stock market. International Journal of Managerial Finance, 14(1), 130–148. https://doi.org/10.1108/IJMF-05-2016-0102
Al-Rahmi, W. M., Alias, N., Othman, M. S., Marin, V. I., & Tur, G. (2018). A model of factors affecting learning performance through the use of social media in Malaysian higher education. Computers & Education, 121, 59–72. https://doi.org/10.1016/j.compedu.2018.02.010
Ali, M., Amir, D. H., & Shamsi, D. A. (2021). Consumer herding behavior in online buying: A literature review. International Review of Management and Business Research, 10(1), 345–360. https://doi.org/10.30543/10-1(2021)-30
Almansour, B. Y., Almansour, A. Y., Elkrghli, S., & Shojaei, S. A. (2025). The Investment Puzzle: Unveiling Behavioral Finance, Risk Perception, and Financial Literacy. Economics: Innovative & Economic Research Journal/Casopis Za Ekonomsku Teoriju i Analizu, 13(1).
Almansour, B. Y., Elkrghli, S., & Almansour, A. Y. (2023). Behavioral finance factors and investment decisions: A mediating role of risk perception. Cogent Economics & Finance, 11(2), 2239032. https://doi.org/10.1080/23322039.2023.2239032
Arvidsson, A. (2011). General sentiment: How value and affect converge in the information economy. The Sociological Review, 59, 39–59. https://doi.org/10.1111/j.1467-954X.2012.02052.x
Badola, S., Sahu, A. K., & Adlakha, A. (2024). A systematic review on behavioral biases affecting individual investment decisions. Qualitative Research in Financial Markets, 16(3), 448–476. https://doi.org/10.1108/QRFM-05-2022-0095
Balcilar, M., & Demirer, R. (2015). Effect of global shocks and volatility on herd behavior in an emerging market: Evidence from Borsa Istanbul. Emerging Markets Finance and Trade, 51(1), 140–159. https://doi.org/10.1080/1540496X.2015.1011520
Barberis, N., & Thaler, R. (2003). A survey of behavioral finance. Handbook of the Economics of Finance, 1, 1053–1128. https://doi.org/10.1016/S1574-0102(03)01027-6
Barone, M., Bussoli, C., & Fattobene, L. (2024). Digital financial consumers’ decision-making: a systematic literature review and integrative framework. International Journal of Bank Marketing, 42(7), 1978–2022. https://doi.org/10.1108/IJBM-07-2023-0405
Batra, S. (2025). Exploring the application of PLS-SEM in construction management research: a bibliometric and meta-analysis approach. Engineering, Construction and Architectural Management, 32(4), 2697–2727. https://doi.org/10.1108/ECAM-04-2023-0316
Belanche, D., Casaló, L. V, & Flavián, C. (2019). Artificial intelligence in FinTech: Understanding robo-advisors adoption among customers. Industrial Management & Data Systems, 119(7), 1411–1430. https://doi.org/10.1108/IMDS-08-2018-0368
Belhouichet, F., Caporale, G. M., & Gil-Alana, L. A. (2025). Contemporaneous and Lagged R 2 Decomposed Connectedness: Evidence for Stock Market Indices, Thematic ETFs, Bitcoin, Brent Crude Oil and Geopolitical Risks. https://dx.doi.org/10.2139/ssrn.5684485
Bhutto, S. A., Nazeer, N., Saad, M., & Talreja, K. (2025). Herding behavior, disposition effect, and investment decisions: A multi-mediation analysis of risk perception and dividend policy. Acta Psychologica, 255, 104964. https://doi.org/10.1016/j.actpsy.2025.104964
Breidbach, C. F., Keating, B. W., & Lim, C. (2020). Fintech: research directions to explore the digital transformation of financial service systems. Journal of Service Theory and Practice, 30(1), 79–102.
Cardoso, A., Pereira, M. S., Silva, A., Souza, A., Oliveira, I., & Figueiredo, J. (2024). The influence of digital influencers on generation y’s adoption of fintech banking services in Brazil. Sustainability, 16(21), 9604. https://doi.org/10.3390/su16219604
Chang, E. C., Cheng, J. W., & Khorana, A. (2000). An examination of herd behavior in equity markets: An international perspective. Journal of Banking & Finance, 24(10), 1651–1679. https://doi.org/10.1016/S0378-4266(99)00096-5
Chen, X., Chen, R. R., Wei, S., & Davison, R. M. (2025). Herd behavior in social commerce: understanding the interplay between self-awareness and environment-awareness. Internet Research, 35(3), 947–980. https://doi.org/10.1108/INTR-05-2022-0359
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In Modern methods for business research (pp. 295–336). Psychology Press.
Chua, A. Y. K., Pal, A., & Banerjee, S. (2023). AI-enabled investment advice: Will users buy it? Computers in Human Behavior, 138, 107481. https://doi.org/10.1016/j.chb.2022.107481
Dar, Bakir Illahi, & Kumar, Jatinder. (2023). The Behavioural Pattern of Investment in the Financial Market: A Study of the Individual Investors. Global Business Review, 09721509231192229. https://doi.org/10.1177/09721509231192229
Del Sarto, N., & Ozili, P. K. (2025). FinTech and financial inclusion in emerging markets: a bibliometric analysis and future research agenda. International Journal of Emerging Markets, 20(13), 270–290. https://doi.org/10.1108/IJOEM-08-2024-1428
Doherty, O. (2018). Informational cascades in financial markets: review and synthesis. Review of Behavioral Finance, 10(1), 53–69. https://doi.org/10.1108/RBF-05-2016-0030
Domowitz, I. (2002). Liquidity, transaction costs, and reintermediation in electronic markets. Journal of Financial Services Research, 22(1), 141–157. https://doi.org/10.1023/A:1016077023185
Duxbury, D. (2015). Behavioral finance: insights from experiments II: biases, moods and emotions. Review of Behavioral Finance, 7(2), 151–175. https://doi.org/10.1108/RBF-09-2015-0037
Dwivedi, Y. K., Hughes, L., Wang, Y., Alalwan, A. A., Ahn, S. J., Balakrishnan, J., Barta, S., Belk, R., Buhalis, D., & Dutot, V. (2023). Metaverse marketing: How the metaverse will shape the future of consumer research and practice. Psychology & Marketing, 40(4), 750–776. https://doi.org/10.1002/mar.21767
Ediagbonya, V., & Tioluwani, C. (2023). The role of fintech in driving financial inclusion in developing and emerging markets: issues, challenges and prospects. Technological Sustainability, 2(1), 100–119. https://doi.org/https://doi.org/10.1108/TECHS-10-2021-0017
Fahlevi, M., Dandi, M., Dahlan, S. P., & Dahlan, O. P. (2024). The impact of digital financial literacy on savings, expenditure, and prospective financial behavior: an exploratory inquiry. 2024 9th International Conference on Business and Industrial Research (ICBIR), 1425–1430. 10.1109/ICBIR61386.2024.10875892
Fenzl, T., & Pelzmann, L. (2012). Psychological and social forces behind aggregate financial market behavior. Journal of Behavioral Finance, 13(1), 56–65. https://doi.org/10.1080/15427560.2012.655383
Gabor, D., & Brooks, S. (2020). The digital revolution in financial inclusion: international development in the fintech era. In Material cultures of financialisation (pp. 69–82). Routledge. https://www.taylorfrancis.com/chapters/edit/10.4324/9781351002103-6/digital-revolution-financial-inclusion-international-development-fintech-era-daniela-gabor-sally-brooks
Galariotis, E. C., Krokida, S.-I., & Spyrou, S. I. (2016a). Bond market investor herding: Evidence from the European financial crisis. International Review of Financial Analysis, 48, 367–375. https://doi.org/10.1016/j.irfa.2015.01.001
Galariotis, E. C., Krokida, S.-I., & Spyrou, S. I. (2016b). Herd behavior and equity market liquidity: Evidence from major markets. International Review of Financial Analysis, 48, 140–149. https://doi.org/10.1016/j.irfa.2016.09.013
Gärling, T., Kirchler, E., Lewis, A., & Van Raaij, F. (2009). Psychology, financial decision making, and financial crises. Psychological Science in the Public Interest, 10(1), 1–47. https://doi.org/10.1177/1529100610378437
Gupta, S., & Shrivastava, M. (2022). Herding and loss aversion in stock markets: mediating role of fear of missing out (FOMO) in retail investors. International Journal of Emerging Markets, 17(7), 1720–1737. https://doi.org/10.1108/IJOEM-08-2020-0933
Hadi, R., Melumad, S., & Park, E. S. (2024). The Metaverse: A new digital frontier for consumer behavior. Journal of Consumer Psychology, 34(1), 142–166. https://doi.org/10.1002/jcpy.1356
Hair, J., & Alamer, A. (2022). Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example. Research Methods in Applied Linguistics, 1(3), 100027. https://doi.org/10.1016/j.rmal.2022.100027
Hays, S., Page, S. J., & Buhalis, D. (2013). Social media as a destination marketing tool: its use by national tourism organisations. Current Issues in Tourism, 16(3), 211–239. https://doi.org/10.1080/13683500.2012.662215
He, J., & Li, Q. (2020). Can online social interaction improve the digital finance participation of rural households? China Agricultural Economic Review, 12(2), 295–313. https://doi.org/10.1108/CAER-11-2019-0213
Hu, S., & Liu, D. (2025). Digital economy, financial literacy, and financial risk-taking in rural households. International Review of Economics & Finance, 98, 103922. https://doi.org/10.1016/j.iref.2025.103922
Ilugbusi, B. S., & Adisa, O. (2024). Behavioral economics in US financial literacy programs: A comprehensive review-Evaluating the role of psychology-driven strategies in enhancing understanding and responsible financial behaviors among citizens. International Journal of Science and Research Archive, 11(1), 2384–2398. https://doi.org/10.30574/ijsra.2024.11.1.0238
Jirasakuldech, B., & Emekter, R. (2021). Empirical analysis of investors’ herding behaviours during the market structural changes and crisis events: Evidence from Thailand. Global Economic Review, 50(2), 139–168. https://doi.org/10.1080/1226508X.2020.1821746
Kahneman, D., & Tversky, A. (2013). Prospect theory: An analysis of decision under risk. In Handbook of the fundamentals of financial decision making: Part I (pp. 99–127). World Scientific. https://doi.org/10.1142/9789814417358_0006
Kameda, T., & Hastie, R. (2015). Herd behavior. Emerging Trends in the Social and Behavioral Sciences: An Interdisciplinary, Searchable, and Linkable Resource, 1–14. https://doi.org/10.1002/9781118900772.etrds0157
Kapoor, K. K., Tamilmani, K., Rana, N. P., Patil, P., Dwivedi, Y. K., & Nerur, S. (2018). Advances in social media research: Past, present and future. Information Systems Frontiers, 20(3), 531–558. https://doi.org/10.1007/s10796-017-9810-y
Kavitha, D., Uma Maheswari, B., & Sujatha, R. (2023). Super Apps: The Natural Progression in Fin‐Tech. Fintech and Cryptocurrency, 383–412.
Kawai, D., Cuevas, A., Routledge, B., Soska, K., Zetlin-Jones, A., & Christin, N. (2023). Is your digital neighbor a reliable investment advisor? Proceedings of the ACM Web Conference 2023, 3581–3591. https://doi.org/10.1145/3543507.3583502
Kim, K., Lee, S.-Y. T., & Kauffman, R. J. (2023). Social informedness and investor sentiment in the GameStop short squeeze: K. Kim et al. Electronic Markets, 33(1), 23. https://doi.org/10.1007/s12525-023-00632-9
Komalasari, P. T., Asri, M., Purwanto, B. M., & Setiyono, B. (2022). Herding behaviour in the capital market: what do we know and what is next? Management Review Quarterly, 72(3), 745–787. https://doi.org/10.1007/s11301-021-00212-1
Kumar, P., Islam, M. A., Pillai, R., & Tabash, M. I. (2024). Risk perception-perceived investor performance Nexus: Evaluating the mediating effects of heuristics and prospects with gender as a moderator. Sage Open, 14(2), 21582440241256444. https://doi.org/10.1177/21582440241256444
Kumar, P., Pillai, R., Kumar, N., & Tabash, M. I. (2023). The interplay of skills, digital financial literacy, capability, and autonomy in financial decision making and well-being. Borsa Istanbul Review, 23(1), 169–183. https://doi.org/https://doi.org/10.1016/j.bir.2022.09.012
Kyriazis, N., Papadamou, S., & Corbet, S. (2020). A systematic review of the bubble dynamics of cryptocurrency prices. Research in International Business and Finance, 54, 101254.
Lamberton, C., & Stephen, A. T. (2016). A thematic exploration of digital, social media, and mobile marketing: Research evolution from 2000 to 2015 and an agenda for future inquiry. Journal of Marketing, 80(6), 146–172. https://doi.org/10.1509/jm.15.0415
Lee, C.-C., Li, X., Yu, C.-H., & Zhao, J. (2021). Does fintech innovation improve bank efficiency? Evidence from China’s banking industry. International Review of Economics & Finance, 74, 468–483. https://doi.org/10.1016/j.iref.2021.03.009
Li, W., Wang, F., Liu, T., Xue, Q., & Liu, N. (2023). Peer effects of digital innovation behavior: an external environment perspective. Management Decision, 61(7), 2173–2200. https://doi.org/10.1108/MD-06-2022-0865
Liu, X. (2020). Analyzing the impact of user-generated content on B2B Firms’ stock performance: Big data analysis with machine learning methods. Industrial Marketing Management, 86, 30–39. https://doi.org/10.1016/j.indmarman.2019.02.021
Loerwald, D., & Stemmann, A. (2016). Behavioral finance and financial literacy: Educational implications of biases in financial decision making. In International handbook of financial literacy (pp. 25–38). Springer. https://doi.org/10.1007/978-981-10-0360-8_3
Maheshwari, H., & Samantaray, A. K. (2025). Navigating investment challenges: financial literacy and digital advisory services in countering behavioural biases. International Journal of Sociology and Social Policy, 1–17. https://doi.org/10.1108/IJSSP-12-2024-0620
Manser Payne, E. H., Dahl, A. J., & Peltier, J. (2021). Digital servitization value co-creation framework for AI services: a research agenda for digital transformation in financial service ecosystems. Journal of Research in Interactive Marketing, 15(2), 200–222. https://doi.org/10.1108/JRIM-12-2020-0252
Matsumoto, M., Hashimoto, R., Suzuki, M., Murayama, Y., & Izumi, K. (2025). Impact of information disparity between individual investors on profits of meme stocks using an artificial market simulation approach. Journal of Computational Social Science, 8(1), 25. https://doi.org/10.1007/s42001-024-00355-7
Motoki, K., Suzuki, S., Kawashima, R., & Sugiura, M. (2020). A combination of self-reported data and social-related neural measures forecasts viral marketing success on social media. Journal of Interactive Marketing, 52(1), 99–117. https://doi.org/10.1016/j.intmar.2020.06.003
Mukherjee, P., & Tiwari, S. (2022). Trading behaviour of foreign institutional investors: Evidence from Indian stock markets. Asia-Pacific Financial Markets, 29(4), 605–629. https://doi.org/https://doi.org/10.1007/s10690-022-09361-z
Nazem, M. (2025). The Psychological Foundations of Financial Literacy: Decoding: The Impact of Cognitive Biases and Personality Traits on Financial Well-being. Available at SSRN 5620792. https://dx.doi.org/10.2139/ssrn.5620792
Nguyen, Y. V. B., & Vo, A. H. K. (2024). Herding behavior before and after COVID-19 pandemic: evidence from the Vietnam stock market. Journal of Economic Studies, 51(2), 357–374. https://doi.org/10.1108/JES-01-2023-0031
Onyeje, S. A., Court, T. O., & Agbaeze, E. K. (2022). National Enterprise Policy Dimensions and Sustainability of Micro, Small and Medium Enterprises (MSMEs). Journal of African Business, 23(2), 435–453. https://doi.org/10.1080/15228916.2020.1838838
Ooi, K. L. (2025a). Behavioural Anomalies and Market Inefficiencies. In Demystifying Behavioral Finance: Foundational Theories to Contemporary Applications and Future Directions (pp. 23–38). Springer.
Ooi, K. L. (2025b). Market, news sentiments, and twitter happiness on adaptive herding behaviour of investors in Shariah-compliant stocks. Journal of Islamic Accounting and Business Research. https://doi.org/10.1108/JIABR-06-2024-0219
Ooi, K. L., Binti Ab Aziz, N., & Lau, W. Y. (2025). Psychological Drivers of Herding. In Following the Crowd: Psychological Drivers of Herding and Market Overreaction (pp. 57–68). Springer.
Osman, M. Ben, Galariotis, E., Guesmi, K., Hamdi, H., & Naoui, K. (2024). Are markets sentiment driving the price bubbles in the virtual? International Review of Economics & Finance, 89, 272–285. https://doi.org/10.1016/j.iref.2023.10.041
Palmié, M., Wincent, J., Parida, V., & Caglar, U. (2020). The evolution of the financial technology ecosystem: An introduction and agenda for future research on disruptive innovations in ecosystems. Technological Forecasting and Social Change, 151, 119779. https://doi.org/10.1016/j.techfore.2019.119779
Parveen, S., Satti, Z. W., Subhan, Q. A., & Jamil, S. (2020). Exploring market overreaction, investors’ sentiments and investment decisions in an emerging stock market. Borsa Istanbul Review, 20(3), 224–235. https://doi.org/10.1016/j.bir.2020.02.002
Patwa, N., Gupta, M., & Mittal, A. (2024). Social proof: empowering social commerce through social validation. Global Knowledge, Memory and Communication. https://doi.org/10.1108/GKMC-06-2023-0188
Perepelitsa, M., & Timofeyev, I. (2022). Self-sustained price bubbles driven by digital currency innovations and adaptive market behavior. SN Business & Economics, 2(3), 30. https://doi.org/10.1007/s43546-021-00188-w
Puschmann, C., & Powell, A. (2018). Turning words into consumer preferences: How sentiment analysis is framed in research and the news media. Social Media+ Society, 4(3), 2056305118797724. https://doi.org/10.1177/2056305118797724
Rahayu, S. K., Budiarti, I., Firdauas, D. W., & Onegina, V. (2023). Digitalization and informal MSME: Digital financial inclusion for MSME development in the formal economy. Journal of Eastern European and Central Asian Research (JEECAR), 10(1), 9–19. 10.15549/jeecar.v10i1.1056
Rapp, A., Beitelspacher, L. S., Grewal, D., & Hughes, D. E. (2013). Understanding social media effects across seller, retailer, and consumer interactions. Journal of the Academy of Marketing Science, 41(5), 547–566. https://doi.org/10.1007/s11747-013-0326-9
Rieger, M. O., Wang, M., Phan, T. C., & Gong, Y. (2022). Trend following or reversal: does culture affect predictions and trading behavior? Global Finance Journal, 54, 100769. https://doi.org/10.1016/j.gfj.2022.100769
Rodríguez-Ibánez, M., Casánez-Ventura, A., Castejón-Mateos, F., & Cuenca-Jiménez, P.-M. (2023). A review on sentiment analysis from social media platforms. Expert Systems with Applications, 223, 119862. https://doi.org/10.1016/j.eswa.2023.119862
Rook, L. (2006). An economic psychological approach to herd behavior. Journal of Economic Issues, 40(1), 75–95. https://doi.org/10.1080/00213624.2006.11506883
Sachdeva, M., Lehal, R., Gupta, S., & Garg, A. (2023). What make investors herd while investing in the Indian stock market? A hybrid approach. Review of Behavioral Finance, 15(1), 19–37. https://doi.org/10.1108/RBF-04-2021-0070
Sahin, I., & Thompson, A. (2006). Using Rogers’ theory to interpret instructional computer use by COE faculty. Journal of Research on Technology in Education, 39(1), 81–104. https://doi.org/10.1080/15391523.2006.10782474
Saini, A., Kulshrestha, N., & Yadav, S. (2026). Human-Centered Intelligence in Financial Decision-Making. In Humanized Intelligence in Sustainable Finance and Economic Behaviours: Concepts, Frameworks, and Applications (pp. 257–276). Springer.
Schmitt, N., & Westerhoff, F. (2017). Herding behaviour and volatility clustering in financial markets. Quantitative Finance, 17(8), 1187–1203. https://doi.org/10.1080/14697688.2016.1267391
Siering, M., Clapham, B., Engel, O., & Gomber, P. (2017). A taxonomy of financial market manipulations: establishing trust and market integrity in the financialized economy through automated fraud detection. Journal of Information Technology, 32(3), 251–269.
Singhania, S., Kumar, S., Sinha, R., & Raut, R. K. (2025). Synchronized sentiments: dynamic herding behavior in leading stock markets. Review of Behavioral Finance, 17(4), 664–683. https://doi.org/10.1108/RBF-12-2024-0365
Smith, J. R., Hogg, M. A., Martin, R., & Terry, D. J. (2007). Uncertainty and the influence of group norms in the attitude–behaviour relationship. British Journal of Social Psychology, 46(4), 769–792. https://doi.org/10.1348/014466606X164439
Srivastava, H., & Moid, S. (2025). Behavioral biases and individual investors investment decisions: Mediating role of financial risk tolerance. Quality & Quantity, 1–21. https://doi.org/10.1007/s11135-025-02352-y
Stieglitz, S., & Dang-Xuan, L. (2013). Emotions and information diffusion in social media—sentiment of microblogs and sharing behavior. Journal of Management Information Systems, 29(4), 217–248. https://doi.org/10.2753/MIS0742-1222290408
Sudaryanto, S., Hanim, A., Rosediana Dewi, I., Kartikasari, A. D., & Rusdiyanto, R. (2025). The mediating effect of customer trust of E-WOM and online customer reviews impacting purchase decision of household electronic products at a marketplace: evidence from Indonesia. Cogent Business & Management, 12(1), 2503093. https://doi.org/10.1080/23311975.2025.2503093
Tama, R. A. Z., Hoque, M. M., Liu, Y., Alam, M. J., & Yu, M. (2023). An application of partial least squares structural equation modeling (PLS-SEM) to examining farmers’ behavioral attitude and intention towards conservation Agriculture in Bangladesh. Agriculture, 13(2), 503. https://doi.org/10.3390/agriculture13020503
Thaler, R. H. (1999). The end of behavioral finance. Financial Analysts Journal, 55(6), 12–17. https://doi.org/10.2469/faj.v55.n6.2310
Theodorakopoulos, L., Theodoropoulou, A., & Klavdianos, C. (2025). Interactive viral marketing through big data analytics, influencer networks, AI integration, and ethical dimensions. Journal of Theoretical and Applied Electronic Commerce Research, 20(2), 115. https://doi.org/10.3390/jtaer20020115
Thies, F., Wessel, M., & Benlian, A. (2016). Effects of social interaction dynamics on platforms. Journal of Management Information Systems, 33(3), 843–873. https://doi.org/10.1080/07421222.2016.1243967
Tlili, F., Chaffai, M., & Medhioub, I. (2023). Investor behavior and psychological effects: herding and anchoring biases in the MENA region. China Finance Review International, 13(4), 667–681. https://doi.org/10.1108/CFRI-12-2022-0269
Urena, R., Kou, G., Dong, Y., Chiclana, F., & Herrera-Viedma, E. (2019). A review on trust propagation and opinion dynamics in social networks and group decision making frameworks. Information Sciences, 478, 461–475. https://doi.org/10.1016/j.ins.2018.11.037
Valenzuela, S. (2013). Unpacking the use of social media for protest behavior: The roles of information, opinion expression, and activism. American Behavioral Scientist, 57(7), 920–942. https://doi.org/10.1177/0002764213479375
Vrontis, D., Makrides, A., Christofi, M., & Thrassou, A. (2021). Social media influencer marketing: A systematic review, integrative framework and future research agenda. International Journal of Consumer Studies, 45(4), 617–644. https://doi.org/10.1111/ijcs.12647
Wang, J., Zhang, S., Liu, B., & Zhang, L. (2023). Decision making with the use of digital inclusive financial systems by new agricultural management entities in Guangdong Province, China: a unified theory of acceptance and use of technology-based structural equation modeling analysis. Systems, 11(10), 513. https://doi.org/10.3390/systems11100513
Wolny, J., & Mueller, C. (2013). Analysis of fashion consumers’ motives to engage in electronic word-of-mouth communication through social media platforms. Journal of Marketing Management, 29(5–6), 562–583. https://doi.org/10.1080/0267257X.2013.778324
Yadav, M. S., & Pavlou, P. A. (2020). Technology-enabled interactions in digital environments: A conceptual foundation for current and future research. Journal of the Academy of Marketing Science, 48(1), 132–136. https://doi.org/10.1007/s11747-019-00712-3
Yadav, V., Chawla, J., & Kumar, P. (2026). Deconstructing behavioral complexity: analyzing interconnected heuristic biases in investment choices. Quality & Quantity, 1–27. https://doi.org/10.1007/s11135-025-02553-5
Yu, Y., Duan, W., & Cao, Q. (2013). The impact of social and conventional media on firm equity value: A sentiment analysis approach. Decision Support Systems, 55(4), 919–926. https://doi.org/10.1016/j.dss.2012.12.028
Zhang, H., & Giouvris, E. (2022). Measures of volatility, crises, sentiment and the role of US ‘Fear’Index (VIX) on herding in BRICS (2007–2021). Journal of Risk and Financial Management, 15(3), 134. https://doi.org/10.3390/jrfm15030134
DOI: https://doi.org/10.21107/infestasi.v22i1.33892
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