Unveiling the drivers of satisfaction in mobile trading: Contextual mining of retail investor experience through BERTopic and generative AI
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DOI: 10.1016/j.jretconser.2024.104066
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- Kojo Kakra Twum & John Paul Basewe Kosiba & Robert Ebo Hinson & Antoinette Yaa Benewaa Gabrah & Ebenezer Nyarko Assabil, 2023. "Determining mobile money service customer satisfaction and continuance usage through service quality," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(1), pages 30-42, March.
- Le, Hoang Tran Phuoc Mai & Kim, Dongyoup & Park, Jungkun, 2024. "The way to generate customer citizenship behavior with customer experience," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
- Verkijika, Silas Formunyuy & Neneh, Brownhilder Ngek, 2021. "Standing up for or against: A text-mining study on the recommendation of mobile payment apps," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
- Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
- Pagano, Michael S. & Sedunov, John & Velthuis, Raisa, 2021. "How did retail investors respond to the COVID-19 pandemic? The effect of Robinhood brokerage customers on market quality," Finance Research Letters, Elsevier, vol. 43(C).
- Yi, Jisu & Oh, Yun Kyung, 2022. "The informational value of multi-attribute online consumer reviews: A text mining approach," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
- Brad M. Barber & Xing Huang & Terrance Odean & Christopher Schwarz, 2022. "Attention‐Induced Trading and Returns: Evidence from Robinhood Users," Journal of Finance, American Finance Association, vol. 77(6), pages 3141-3190, December.
- Chong, Lee-Lee & Ong, Hway-Boon & Tan, Siow-Hooi, 2021. "Acceptability of mobile stock trading application: A study of young investors in Malaysia," Technology in Society, Elsevier, vol. 64(C).
- Sujeet Kumar Sharma & Anubhav Mishra, 2023. "Enablers and Inhibitors of Mobile Payments in Rural India: a Dual-Factor Theory Perspective," Information Systems Frontiers, Springer, vol. 25(6), pages 2335-2351, December.
- Zhou, Qingji & Lim, Fong Jie & Yu, Han & Xu, Gaoqian & Ren, Xiaoyu & Liu, Dan & Wang, Xiangxin & Mai, Xinda & Xu, Hong, 2021. "A study on factors affecting service quality and loyalty intention in mobile banking," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
- Wu, Jia-Jhou & Chang, Sue-Ting, 2020. "Exploring customer sentiment regarding online retail services: A topic-based approach," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
- Kumar, Avinash & Chakraborty, Shibashish & Bala, Pradip Kumar, 2023. "Text mining approach to explore determinants of grocery mobile app satisfaction using online customer reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
- Yi, Jisu & Kim, Jongdae & Oh, Yun Kyung, 2024. "Uncovering the quality factors driving the success of mobile payment apps," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
- Alzate, Miriam & Arce-Urriza, Marta & Cebollada, Javier, 2022. "Mining the text of online consumer reviews to analyze brand image and brand positioning," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
- Filieri, Raffaele, 2016. "What makes an online consumer review trustworthy?," Annals of Tourism Research, Elsevier, vol. 58(C), pages 46-64.
- Mandas, Marco & Lahmar, Oumaima & Piras, Luca & De Lisa, Riccardo, 2023. "ESG in the financial industry: What matters for rating analysts?," Research in International Business and Finance, Elsevier, vol. 66(C).
- Chong, Terrence & Yu, Ting & Keeling, Debbie Isobel & de Ruyter, Ko, 2021. "AI-chatbots on the services frontline addressing the challenges and opportunities of agency," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
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Keywords
Mobile trading service; Online consumer reviews; BERTopic analysis; Generative AI; SERVQUAL theory; Topic rating impact and frequency analysis (TRIFA);All these keywords.
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