{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T19:24:52Z","timestamp":1773343492159,"version":"3.50.1"},"reference-count":67,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T00:00:00Z","timestamp":1761782400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012456","name":"National Social Science Foundation of China","doi-asserted-by":"publisher","award":["24AGL016"],"award-info":[{"award-number":["24AGL016"]}],"id":[{"id":"10.13039\/501100012456","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JTAER"],"abstract":"<jats:p>With the rapid advancement and widespread adoption of artificial intelligence (AI), AI-powered personalized product recommendation (AI-PPR) has become a core tool for enhancing user experience and driving monetization on short-form video platforms, fundamentally reshaping consumer behavior. While prior research has largely focused on impulse buying intention (I-BI)\u2014purchases triggered by emotional and sensory stimuli\u2014there remains a lack of systematic exploration of spontaneous buying intention (S-BI), which emphasizes rational and cognitively driven decisions formed in unplanned contexts. Addressing this gap, this study integrates the Technology Acceptance Model (TAM) with a perceived evaluation perspective to propose and validate a dual-mediation framework: \u201cAI-PPR \u2192 Perceived Usefulness\/Perceived Trust \u2192 S-BI\u201d. Using a large-scale survey of Generation Z users in mainland China (N = 754), data were analyzed via SPSS 26.0, including reliability and validity tests, regression analysis, and Bootstrap-based mediation analysis. The results indicate that AI-PPR not only has a significant positive direct effect on S-BI but also exerts strong indirect effects through perceived usefulness and perceived trust. Specifically, perceived usefulness accounts for 35.17% and perceived trust for 31.18% of the mediation, jointly constituting 66.35% of the total effect. The findings contribute theoretically by extending the boundary of purchase intention research, differentiating rational S-BI from emotion-driven impulse buying, and enriching the application of TAM in consumption contexts. Practically, the study highlights the importance for short-form video platforms and brand managers to enhance recommendation transparency, interpretability, and trust-building while pursuing algorithmic precision, thereby fostering rational spontaneous buying and achieving a balance between short-term conversions and long-term user value.<\/jats:p>","DOI":"10.3390\/jtaer20040290","type":"journal-article","created":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T02:48:28Z","timestamp":1761878908000},"page":"290","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Exploring the Mechanism of AI-Powered Personalized Product Recommendation on Generation Z Users\u2019 Spontaneous Buying Intention on Short-Form Video Platforms: A Perceived Evaluation Perspective"],"prefix":"10.3390","volume":"20","author":[{"given":"Shuyang","family":"Hu","sequence":"first","affiliation":[{"name":"Business School, Beijing Information Science and Technology University, Beijing 102206, China"}]},{"given":"Jiaxin","family":"Liu","sequence":"additional","affiliation":[{"name":"Business School, Beijing Information Science and Technology University, Beijing 102206, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1914-9388","authenticated-orcid":false,"given":"Honglei","family":"Li","sequence":"additional","affiliation":[{"name":"College of Business Administration, Capital University of Economics and Business, Beijing 100070, China"}]},{"given":"Jielin","family":"Yin","sequence":"additional","affiliation":[{"name":"Business School, Beijing Information Science and Technology University, Beijing 102206, China"}]},{"given":"Xiaoxin","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Economics and Finance, Shanghai International Studies University, Shanghai 201620, China"}]}],"member":"1968","published-online":{"date-parts":[[2025,10,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"102793","DOI":"10.1016\/j.techsoc.2024.102793","article-title":"Conflicting impacts of shadow AI usage on knowledge leakage in metaverse-based business models: A Yin-Yang paradox framing","volume":"81","author":"Chin","year":"2025","journal-title":"Technol. Soc."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1108\/JKM-09-2022-0757","article-title":"How an industrial internet platform empowers the digital transformation of SMEs: Theoretical mechanism and business model","volume":"27","author":"Li","year":"2023","journal-title":"J. Knowl. Manag."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Tu, S.H., Wang, J., Lin, C.L., and Liao, K.T. (2025). Analyzing the Impact of IoT on E-commerce Trends Through Topic Modeling and Co-Citation Techniques. Rev. Socionetw. Strateg., 1\u201325.","DOI":"10.1007\/s12626-025-00184-8"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Li, H., Wang, H., Yang, Z., and Guo, C. (2025). Cross-level interaction mechanism for high growth among digital start\u2013ups: An fsQCA analysis. Chin. Manag. Stud.","DOI":"10.1108\/CMS-06-2024-0450"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Amin, A. (2025). Artificial intelligence in social media: A catalyst for impulse buying behavior?. Young Consum.","DOI":"10.1108\/YC-10-2024-2297"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1113","DOI":"10.1108\/JKM-03-2021-0177","article-title":"The co-evolution of knowledge management and business model transformation in the post-COVID-19 era: Insights based on Chinese e-commerce companies","volume":"26","author":"Li","year":"2022","journal-title":"J. Knowl. Manag."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1186\/s43093-025-00476-z","article-title":"The moderating role of personalized recommendations in the trust\u2013satisfaction\u2013loyalty relationship: An empirical study of AI-driven e-commerce","volume":"11","author":"Hassan","year":"2025","journal-title":"Future Bus. J."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"155","DOI":"10.24818\/EA\/2021\/56\/155","article-title":"Consumer acceptance of the use of artificial intelligence in online shopping: Evidence from Hungary","volume":"23","author":"Nagy","year":"2021","journal-title":"Amfiteatru Econ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1086\/209105","article-title":"The buying impulse","volume":"14","author":"Rook","year":"1987","journal-title":"J. Consum. Res."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Xia, Y.X., Chae, S.W., and Xiang, Y.C. (2024). How social and media cues induce live streaming impulse buying? SOR model perspective. Front. Psychol., 15.","DOI":"10.3389\/fpsyg.2024.1379992"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"384","DOI":"10.1007\/s11747-019-00670-w","article-title":"Impulse buying: A meta-analytic review","volume":"48","author":"Iyer","year":"2020","journal-title":"J. Acad. Mark. Sci."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1111\/ijcs.12862","article-title":"Impulse buying: A systematic literature review and future research directions","volume":"47","author":"Redine","year":"2023","journal-title":"Int. J. Consum. Stud."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"102789","DOI":"10.1016\/j.jretconser.2021.102789","article-title":"Online personalized recommended product quality and e-impulse buying: A conditional mediation analysis","volume":"64","author":"Ampadu","year":"2022","journal-title":"J. Retail. Consum. Serv."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"113420","DOI":"10.1016\/j.dss.2020.113420","article-title":"Perceived usefulness: A silver bullet to assure user data availability for online recommendation systems","volume":"139","author":"Mican","year":"2020","journal-title":"Decis. Support Syst."},{"key":"ref_15","first-page":"102755","article-title":"Enhancing recommendation acceptance: Resolving the personalization\u2013privacy paradox in recommender systems: A privacy calculus perspective","volume":"76","author":"Wang","year":"2024","journal-title":"Int. J. Inf. Manag."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Mandolfo, M., and Lamberti, L. (2021). Past, present, and future of impulse buying research methods: A systematic literature review. Front. Psychol., 12.","DOI":"10.3389\/fpsyg.2021.687404"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"519","DOI":"10.1177\/14707853241229671","article-title":"The urge to splurge: Differentiating unplanned and impulse purchases","volume":"66","author":"Morozova","year":"2024","journal-title":"Int. J. Mark. Res."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Li, H., Yang, Z., Wang, H., and Li, Y. (2023). Digitalization of business models, knowledge management and green technology innovation of Chinese manufacturing enterprises: A mixed analysis based on the Haier COSMOPlat ecosystem. Asia Pac. Bus. Rev., 1\u201329.","DOI":"10.1080\/13602381.2023.2282116"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"734","DOI":"10.1109\/TKDE.2005.99","article-title":"Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions","volume":"17","author":"Adomavicius","year":"2005","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"101604","DOI":"10.1016\/j.iot.2025.101604","article-title":"Detecting latent topics and trends in IoT and e-commerce using BERTopic modeling","volume":"32","author":"Su","year":"2025","journal-title":"Internet Things"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"2588","DOI":"10.1109\/TKDE.2019.2958808","article-title":"Learning to recommend with multiple cascading behaviors","volume":"33","author":"Gao","year":"2019","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1016\/j.im.2011.08.002","article-title":"Assessing the impact of recommender agents on on-line consumer unplanned purchase behavior","volume":"48","author":"Hostler","year":"2011","journal-title":"Inf. Manag."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"103088","DOI":"10.1016\/j.jretconser.2022.103088","article-title":"Consequences of personalized product recommendations and price promotions in online grocery shopping","volume":"69","author":"Hallikainen","year":"2022","journal-title":"J. Retail. Consum. Serv."},{"key":"ref_24","first-page":"284","article-title":"Defining key drivers of online impulse purchasing: A perspective of both impulse shoppers and system users","volume":"36","author":"Wu","year":"2016","journal-title":"Int. J. Inf. Manag."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"374","DOI":"10.1016\/j.chb.2017.01.058","article-title":"Generation Z consumers\u2019 expectations of interactions in smart retailing: A future agenda","volume":"77","author":"Priporas","year":"2017","journal-title":"Comput. Hum. Behav."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1016\/j.im.2018.09.002","article-title":"How do product recommendations affect impulse buying? An empirical study on WeChat social commerce","volume":"56","author":"Chen","year":"2019","journal-title":"Inf. Manag."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Jeong, J., Kim, D., Li, X., Li, Q., Choi, I., and Kim, J. (2022). An empirical investigation of personalized recommendation and reward effect on customer behavior: A stimulus\u2013organism\u2013response (SOR) model perspective. Sustainability, 14.","DOI":"10.3390\/su142215369"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Cheng, Z., Shao, B., and Zhang, Y. (2022). Effect of product presentation videos on consumers\u2019 purchase intention: The role of perceived diagnosticity, mental imagery, and product rating. Front. Psychol., 13.","DOI":"10.3389\/fpsyg.2022.812579"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Yin, J., Qiu, X., and Wang, Y. (2025). The Impact of AI-Personalized Recommendations on Clicking Intentions: Evidence from Chinese E-Commerce. J. Theor. Appl. Electron. Commer. Res., 20.","DOI":"10.3390\/jtaer20010021"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Covington, P., Adams, J., and Sargin, E. (2016, January 15\u201319). Deep neural networks for YouTube recommendations. Proceedings of the 10th ACM Conference on Recommender Systems, Boston, MA, USA.","DOI":"10.1145\/2959100.2959190"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"114874","DOI":"10.1016\/j.jbusres.2024.114874","article-title":"The impact of content characteristics of Short-Form video ads on consumer purchase Behavior: Evidence from TikTok","volume":"183","author":"Meng","year":"2024","journal-title":"J. Bus. Res."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"124128","DOI":"10.1016\/j.techfore.2025.124128","article-title":"How artificial intelligence promotes new quality productive forces of firms: A dynamic capability view","volume":"216","author":"Chin","year":"2025","journal-title":"Technol. Forecast. Soc. Change"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"319","DOI":"10.2307\/249008","article-title":"Perceived usefulness, perceived ease of use, and user acceptance of information technology","volume":"13","author":"Davis","year":"1989","journal-title":"MIS Q."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Jannach, D., and Adomavicius, G. (2016, January 15\u201319). Recommendations with a purpose. Proceedings of the 10th ACM Conference on Recommender Systems, Boston, MA, USA.","DOI":"10.1145\/2959100.2959186"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"2605","DOI":"10.3390\/jtaer19040125","article-title":"The next-generation shopper: A study of generation-Z perceptions of AI in online shopping","volume":"19","author":"Bunea","year":"2024","journal-title":"J. Theor. Appl. Electron. Commer. Res."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"51","DOI":"10.2307\/30036519","article-title":"Trust and TAM in online shopping: An integrated model","volume":"27","author":"Gefen","year":"2003","journal-title":"MIS Q."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Gao, Y., and Liang, J. (2025). The Impact of AI-Powered Try-On Technology on Online Consumers\u2019 Impulsive Buying Intention: The Moderating Role of Brand Trust. Sustainability, 17.","DOI":"10.3390\/su17072789"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"e35743","DOI":"10.1016\/j.heliyon.2024.e35743","article-title":"A comprehensive study on factors influencing online impulse buying behavior: Evidence from Shopee video platform","volume":"10","author":"Ngo","year":"2024","journal-title":"Heliyon"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Wei, Y. (2025). The impact of content marketing on consumer purchase intention on TikTok. Asia Pac. J. Mark. Logist.","DOI":"10.1108\/APJML-09-2024-1259"},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Luo, C., Hasan, N.A.M., Zamri bin Ahmad, A.M., and Lei, G. (2025). Influence of short video content on consumers purchase intentions on social media platforms with trust as a mediator. Sci. Rep., 15.","DOI":"10.1038\/s41598-025-94994-z"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Liang, Q., and Liu, J. (2024, January 23\u201325). Research on the influence of short video AI personalized recommendation on consumers\u2019 impulsive buying behavior\u2014Moderating effects based on algorithmic attitudes. Proceedings of the 2024 7th International Conference on Information Management and Management Science, Beijing, China.","DOI":"10.1145\/3695652.3695688"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Xue, Y., Feng, T., and Wu, C. (2024). How technical and situational cues affect impulse buying behavior in social commerce? Evidence from bored consumers. Front. Psychol., 15.","DOI":"10.3389\/fpsyg.2024.1405189"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Jiang, W., and Chen, H.L. (2024). Can short videos work? The effects of use and gratification and social presence on purchase intention: Examining the mediating role of digital dependency. J. Theor. Appl. Electron. Commer. Res., 20.","DOI":"10.20944\/preprints202411.0736.v1"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"334","DOI":"10.1287\/isre.13.3.334.81","article-title":"Developing and validating trust measures for e-commerce: An integrative typology","volume":"13","author":"McKnight","year":"2002","journal-title":"Inf. Syst. Res."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Zhao, X., You, W., Zheng, Z., Shi, S., Lu, Y., and Sun, L. (2025). How do consumers trust and accept AI agents? An extended theoretical framework and empirical evidence. Behav. Sci., 15.","DOI":"10.3390\/bs15030337"},{"key":"ref_46","unstructured":"Vanneste, B.S., and Puranam, P. (2024). Artificial intelligence, trust, and perceptions of agency. Acad. Manag. Rev."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"103988","DOI":"10.1016\/j.jretconser.2024.103988","article-title":"Online shopping: How can algorithm performance expectancy enhance impulse buying?","volume":"81","author":"Gallin","year":"2024","journal-title":"J. Retail. Consum. Serv."},{"key":"ref_48","first-page":"3","article-title":"Trust in and adoption of online recommendation agents","volume":"6","author":"Wang","year":"2005","journal-title":"J. Assoc. Inf. Syst."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"941","DOI":"10.2307\/25148760","article-title":"The effects of personalization and familiarity on trust and adoption of recommendation agents","volume":"30","author":"Komiak","year":"2006","journal-title":"MIS Q."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"21582440221091262","DOI":"10.1177\/21582440221091262","article-title":"Trust and Consumers\u2019 Purchase Intention in a Social Commerce Platform: A Meta-Analytic Approach","volume":"12","author":"Wang","year":"2022","journal-title":"SAGE Open"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"223","DOI":"10.4236\/ojbm.2022.101014","article-title":"Atmospheric Cues Roles: Customer\u2019s Online Trust, Perceived Enjoyment, and Impulse Buying Behavior","volume":"10","author":"Moreno","year":"2022","journal-title":"Open J. Bus. Manag."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"855","DOI":"10.56442\/ijble.v6i1.1108","article-title":"The Impact of Short-Form Video Marketing, Influencer Relatability, and Trust Signals on Gen Z\u2019s Purchase Intention","volume":"6","author":"Wahyudi","year":"2025","journal-title":"Int. J. Bus. Law Educ."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Jakhodia, Y., Gupta, T., and Singh, T. (2025). Impact of Artificial Intelligence on Consumer Online Purchase Intention. Multi-Industry Digitalization and Technological Governance in the AI Era, IGI Global.","DOI":"10.4018\/979-8-3373-1681-9.ch014"},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Li, G., Jiang, Y., and Chang, L. (2022). The influence mechanism of interaction quality in live streaming shopping on consumers\u2019 impulsive purchase intention. Front. Psychol., 13.","DOI":"10.3389\/fpsyg.2022.918196"},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Ye, Y., Zhou, Z., and Duan, H. (2022). Philanthropic sales in live-streaming shopping: The impact of online interaction on consumer impulse buying. Front. Psychol., 13.","DOI":"10.3389\/fpsyg.2022.1041476"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"21582440241263173","DOI":"10.1177\/21582440241263173","article-title":"What drives or decelerates Generation Z? An empirical study navigating consumer buying intentions in online shopping","volume":"14","author":"Singh","year":"2024","journal-title":"SAGE Open"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1287\/isre.1050.0058","article-title":"Web personalization as a persuasion strategy: An elaboration likelihood model perspective","volume":"16","author":"Tam","year":"2005","journal-title":"Inf. Syst. Res."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"982","DOI":"10.1287\/mnsc.35.8.982","article-title":"User acceptance of computer technology: A comparison of two theoretical models","volume":"35","author":"Davis","year":"1989","journal-title":"Manag. Sci."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1177\/002224299405800302","article-title":"The commitment-trust theory of relationship marketing","volume":"58","author":"Morgan","year":"1994","journal-title":"J. Mark."},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Grange, C., and Benbasat, I. (2010, January 5\u20138). Online social shopping: The functions and symbols of design artifacts. Proceedings of the 2010 43rd Hawaii International Conference on System Sciences, Honolulu, HI, USA.","DOI":"10.1109\/HICSS.2010.293"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"1173","DOI":"10.1037\/0022-3514.51.6.1173","article-title":"The moderator\u2013mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations","volume":"51","author":"Baron","year":"1986","journal-title":"J. Pers. Soc. Psychol."},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Li, H., Li, W., and Ma, T. (2025). Exploring the Mechanism of AI-Powered Virtual Idols\u2019 Intelligence Level on Digital Natives\u2019 Impulsive Buying Intention in E-Commerce Live Streaming: A Perspective of Psychological Distance. J. Theor. Appl. Electron. Commer. Res., 20.","DOI":"10.3390\/jtaer20030173"},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Chen, S., Zhi, K., and Chen, Y. (2022). How active and passive social media use affects impulse buying in Chinese college students? The roles of emotional responses, gender, materialism and self-control. Front. Psychol., 13.","DOI":"10.3389\/fpsyg.2022.1011337"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"425","DOI":"10.2307\/30036540","article-title":"User acceptance of information technology: Toward a unified view","volume":"27","author":"Venkatesh","year":"2003","journal-title":"MIS Q."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1287\/mnsc.46.2.186.11926","article-title":"A theoretical extension of the technology acceptance model: Four longitudinal field studies","volume":"46","author":"Venkatesh","year":"2000","journal-title":"Manag. Sci."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"1140","DOI":"10.1002\/mar.21498","article-title":"When do you trust AI? The effect of number presentation detail on consumer trust and acceptance of AI recommendations","volume":"38","author":"Kim","year":"2021","journal-title":"Psychol. Mark."},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Xie, Z., Niu, W., Lin, C.L., Fu, S., Liao, K.T., and Zhang, W. (2025). Loss of control: AI-based decision-making induces negative company evaluation. Chin. Manag. Stud.","DOI":"10.1108\/CMS-12-2024-0979"}],"container-title":["Journal of Theoretical and Applied Electronic Commerce Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/0718-1876\/20\/4\/290\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T03:44:12Z","timestamp":1761882252000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/0718-1876\/20\/4\/290"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,30]]},"references-count":67,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["jtaer20040290"],"URL":"https:\/\/doi.org\/10.3390\/jtaer20040290","relation":{},"ISSN":["0718-1876"],"issn-type":[{"value":"0718-1876","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,30]]}}}