{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T20:15:19Z","timestamp":1776111319134,"version":"3.50.1"},"reference-count":84,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Chongqing Academy of Education Science","award":["2019-GX-009"],"award-info":[{"award-number":["2019-GX-009"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JTAER"],"abstract":"<jats:p>Recommendation systems are used in various fields of e-commerce and can bring many benefits to consumers but consumers\u2019 trust in recommendation systems (CTRS) is lacking. Recommendation system transparency (RST) is an important factor that affects CTRS. Applying a three-layered trust model, this paper discusses the influence of RST on CTRS in the e-commerce domain, demonstrating the mediating role of perceived effectiveness and discomfort and the moderating role of consumers\u2019 domain knowledge. We recruited 500 participants for an online hypothetical scenario experiment. The results show that consumers\u2019 perceived effectiveness and discomfort can mediate the relationship between RST and CTRS. Specifically, RST (vs. non-transparency) leads to higher perceived effectiveness ( promoting CTRS) and lower levels of discomfort (which inhibits CTRS), in turn increasing CTRS. Domain knowledge positively moderates the positive impact of RST on perceived effectiveness, while negatively moderating the negative impact of RST on discomfort. Further, gender has a negative impact on CTRS when consumers are purchasing experience products but there is no effect when purchasing search products.<\/jats:p>","DOI":"10.3390\/jtaer19040126","type":"journal-article","created":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T11:08:47Z","timestamp":1727780927000},"page":"2630-2649","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["The Effects of E-Commerce Recommendation System Transparency on Consumer Trust: Exploring Parallel Multiple Mediators and a Moderator"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3410-3273","authenticated-orcid":false,"given":"Yi","family":"Li","sequence":"first","affiliation":[{"name":"School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing 400065, China"}]},{"given":"Xiaoya","family":"Deng","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing 400065, China"}]},{"given":"Xiao","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing 400065, China"}]},{"given":"Jing","family":"Liu","sequence":"additional","affiliation":[{"name":"Information and Library Center, Chongqing Medical and Pharmaceutical College, Chongqing 401331, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,10,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1007\/s10660-018-9312-0","article-title":"The interaction effects of information cascades, word of mouth and recommendation systems on online reading behavior: An empirical investigation","volume":"19","author":"Liu","year":"2019","journal-title":"Electron. Commer. Res."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"115694","DOI":"10.1109\/ACCESS.2020.3002803","article-title":"A systematic study on the recommender systems in the E-commerce","volume":"8","author":"Alamdari","year":"2020","journal-title":"IEEE Access"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1387","DOI":"10.18517\/ijaseit.10.4.10883","article-title":"The role of trust to enhance the recommendation system based on social network","volume":"10","author":"Tharwat","year":"2020","journal-title":"Int. J. Adv. Sci. Eng. Inf. Technol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3655629","article-title":"Trustworthy recommender systems","volume":"15","author":"Wang","year":"2024","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3594633","article-title":"A survey on the fairness of recommender systems","volume":"41","author":"Wang","year":"2023","journal-title":"ACM Trans. Inf. Syst."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"55","DOI":"10.3390\/jtaer18010004","article-title":"Consumers\u2019 Behavioural Intentions to Reuse Recommender Systems: Assessing the Effects of Trust Propensity, Trusting Beliefs and Perceived Usefulness","volume":"18","author":"Acharya","year":"2023","journal-title":"J. Theor. Appl. Electron. Commer. Res."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Tintarev, N., and Masthoff, J. (2015). Explaining Recommendations: Design and Evaluation. Recommender Systems Handbook, Springer.","DOI":"10.1007\/978-1-4899-7637-6_10"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1016\/j.ijhcs.2013.12.007","article-title":"How should I explain? A comparison of different explanation types for recommender systems","volume":"72","author":"Gedikli","year":"2014","journal-title":"Int. J. Hum.-Comput. Stud."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Wang, Y., Liu, W., and Yao, M. (2024). Which recommendation system do you trust the most? Exploring the impact of perceived anthropomorphism on recommendation system trust, choice confidence, and information disclosure. New Media Soc.","DOI":"10.1177\/14614448231223517"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Sinha, R., and Swearingen, K. (2002). The Role of Transparency in Recommender Systems. CHI\u201902 Extended Abstracts on Human Factors in Computing Systems, ACM Press.","DOI":"10.1145\/506443.506619"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Tintarev, N., and Masthoff, J. (2007, January 17\u201320). A Survey of Explanations in Recommender Systems. Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering Workshop, Istanbul, Turkey.","DOI":"10.1109\/ICDEW.2007.4401070"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Balog, K., Radlinski, F., and Arakelyan, S. (2019, January 21\u201325). Transparent, Scrutable and Explainable User Models for Personalized Recommendation. Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Paris, France.","DOI":"10.1145\/3331184.3331211"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1007\/s11257-008-9051-3","article-title":"The effects of transparency on trust in and acceptance of a content-based art recommender","volume":"18","author":"Cramer","year":"2008","journal-title":"User Model. User-Adapt. Interact."},{"key":"ref_14","unstructured":"(2024, May 01). Twitter Reveals Code Showing Why Tweets Pop-Up. Available online: https:\/\/www.dw.com\/en\/twitter-reveals-code-showing-why-tweets-pop-up\/a-65204619."},{"key":"ref_15","unstructured":"(2024, May 01). Understanding Social Media Recommendation Algorithms. Available online: https:\/\/knightcolumbia.org\/content\/understanding-social-media-recommendation-algorithms."},{"key":"ref_16","unstructured":"Zhao, R., Benbasat, I., and Cavusoglu, H. (2019, January 8\u201314). Do Users Always Want to Know More? Investigating the Relationship Between System Transparency and Users\u2019 Trust in Advice-Giving Systems. Proceedings of the 27th European Conference on Information Systems (ECIS), Stockholm & Uppsala, Sweden."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1177\/0018720814547570","article-title":"Trust in automation: Integrating empirical evidence on factors that influence trust","volume":"57","author":"Hoff","year":"2015","journal-title":"J. Hum. Factors Ergon. Soc."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1145\/245108.245121","article-title":"Recommender systems","volume":"40","author":"Resnick","year":"1997","journal-title":"Commun. ACM"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"3151","DOI":"10.1108\/IJCHM-06-2023-0845","article-title":"How service robots\u2019 human-like appearance impacts consumer trust: A study across diverse cultures and service settings","volume":"36","author":"Li","year":"2024","journal-title":"Int. J. Contemp. Hosp. Manag."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"709","DOI":"10.2307\/258792","article-title":"An integrative model of organizational trust","volume":"20","author":"Mayer","year":"1995","journal-title":"Acad. Manag. Rev."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1518\/hfes.46.1.50.30392","article-title":"Trust in automation: Designing for appropriate reliance","volume":"46","author":"Lee","year":"2004","journal-title":"J. Hum. Factors Ergon. Soc."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1002\/aris.1440370111","article-title":"The role of trust in information science and technology","volume":"37","author":"Marsh","year":"2003","journal-title":"Annu. Rev. Inf. Sci. Technol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"500","DOI":"10.1016\/S0148-2963(03)00140-1","article-title":"Cognitive and Affective Trust in Service Relationships","volume":"58","author":"Johnson","year":"2005","journal-title":"J. Bus. Res."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.jbusres.2021.08.016","article-title":"Influence of human versus AI recommenders: The roles of product type and cognitive processes","volume":"137","author":"Wien","year":"2021","journal-title":"J. Bus. Res."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Hedbom, H., Pulls, T., and Hansen, M. (2011). Transparency Tools. Privacy and Identity Management for Life, Springer.","DOI":"10.1007\/978-3-642-20317-6_6"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Zouave, E.T., and Marquenie, T. (2017, January 11\u201313). An Inconvenient Truth: Algorithmic Transparency & Accountability in Criminal Intelligence Profiling. Proceedings of the 2017 European Intelligence and Security Informatics Conference (EISIC), Athens, Greece.","DOI":"10.1109\/EISIC.2017.12"},{"key":"ref_27","first-page":"809","article-title":"Algorithmic transparency in the news media","volume":"5","author":"Diakopoulos","year":"2017","journal-title":"Digit. J."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Berkovsky, S., Taib, R., and Conway, D. (2017, January 13\u201316). How to Recommend?: User Trust Factors in Movie Recommender Systems. Proceedings of the 22nd International Conference on Intelligent User Interfaces, Limassol, Cyprus.","DOI":"10.1145\/3025171.3025209"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"542","DOI":"10.1016\/j.knosys.2007.04.004","article-title":"Trust-inspiring explanation interfaces for recommender systems","volume":"20","author":"Pearl","year":"2007","journal-title":"Knowl.-Based Syst."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1023\/A:1026201108015","article-title":"User attitudes regarding a user-adaptive e-Commerce web site","volume":"13","author":"Alpert","year":"2003","journal-title":"User Model. User-Adapt. Interact."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Felfernig, A., and Gula, B. (2006, January 26\u201329). An Empirical Study on Consumer Behavior in the Interaction with Knowledge-based Recommender Applications. Proceedings of the 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC\/EEE\u2019 06), San Francisco, CA, USA.","DOI":"10.1109\/CEC-EEE.2006.14"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Herlocker, J.L., Konstan, J.A., and Riedl, J. (2000, January 2\u20136). Explaining Collaborative Filtering Recommendations. Proceedings of the 2000 ACM Conference on Computer Supported Cooperative Work, Philadelphia, PA, USA.","DOI":"10.1145\/358916.358995"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1509\/jppm.15.020","article-title":"Surrendering Information through the Looking Glass: Transparency, Trust, and Protection","volume":"35","author":"Walker","year":"2016","journal-title":"J. Public Policy Mark."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"318","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_35","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1007\/s11257-011-9117-5","article-title":"Evaluating the effectiveness of explanations for recommender systems: Methodological issues and empirical studies on the impact of personalization","volume":"22","author":"Tintarev","year":"2012","journal-title":"User Model. User-Adapt. Interact."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1037\/xge0000033","article-title":"Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err","volume":"144","author":"Dietvorst","year":"2015","journal-title":"J. Exp. Psychol. Gen."},{"key":"ref_37","unstructured":"Hingston, M. (2006). User Friendly Recommender Systems. [Master\u2019s Thesis, Sydney University]."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1007\/s11257-011-9118-4","article-title":"Explaining the user experience of recommender systems","volume":"22","author":"Knijnenburg","year":"2012","journal-title":"User Model. User-Adapt. Interact."},{"key":"ref_39","first-page":"598","article-title":"Perceived effectiveness of e-governance as an underlying mechanism between good governance and public trust: A case of Indonesia","volume":"23","author":"Hartanto","year":"2021","journal-title":"Digit. Policy. Regul. Gov."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"103506","DOI":"10.1016\/j.autcon.2020.103506","article-title":"Effectiveness of VR crane training with head-mounted display: Double mediation of presence and perceived usefulness","volume":"122","author":"Song","year":"2021","journal-title":"Autom. Constr."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Yu, L., and Li, Y. (2022). Artificial Intelligence Decision-Making Transparency and Employees\u2019 Trust: The Parallel Multiple Mediating Effect of Effectiveness and Discomfort. Behav. Sci., 12.","DOI":"10.3390\/bs12050127"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Zheng, Q., Wen, X., Xiu, X., and Chen, Q. (2023). Income Quality and Organic Food Purchase Intention: The Chain Mediating Role of Environmental Value, Perceived Consumer Effectiveness. SAGE Open, 13.","DOI":"10.1177\/21582440231218974"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1177\/1094670514539730","article-title":"An updated and streamlined technology readiness index: TRI 2.0","volume":"18","author":"Parasuraman","year":"2015","journal-title":"J. Serv. Res."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1007\/s12525-021-00488-x","article-title":"Understanding users\u2019 negative responses to recommendation algorithms in short-video platforms: A perspective based on the Stressor-Strain-Outcome (SSO) framework","volume":"32","author":"Ma","year":"2022","journal-title":"Electron. Mark."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"546","DOI":"10.1509\/jmr.10.0355","article-title":"Social networks, personalized advertising, and privacy controls","volume":"51","author":"Tucker","year":"2014","journal-title":"J. Mark. Res."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"448","DOI":"10.3390\/jtaer19010024","article-title":"The Impact of Recommendation System on User Satisfaction: A Moderated Mediation Approach","volume":"19","author":"He","year":"2024","journal-title":"J. Theor. Appl. Electron. Commer. Res."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"104","DOI":"10.54055\/ejtr.v15i.265","article-title":"Dawning of the age of robots in hospitality and tourism: Challenges for teaching and research","volume":"15","author":"Murphy","year":"2017","journal-title":"Eur. J. Tour. Res."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"El Barachi, M., Salim, T.A., Nyadzayo, M.W., Mathew, S., Badewi, A., and Amankwah-Amoah, J. (2022). The relationship between citizen readiness and the intention to continuously use smart city services: Mediating effects of satisfaction and discomfort. Technol. Soc., 71.","DOI":"10.1016\/j.techsoc.2022.102115"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1002\/bdm.2155","article-title":"A systematic review of algorithm aversion in augmented decision making","volume":"33","author":"Burton","year":"2020","journal-title":"J. Behav. Decis. Mak."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1155","DOI":"10.1287\/mnsc.2016.2643","article-title":"Overcoming algorithm aversion: People will use imperfect algorithms if they can (even slightly) modify them","volume":"64","author":"Dietvorst","year":"2018","journal-title":"Manag. Sci."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1111\/j.1754-9434.2008.00059.x","article-title":"Some New (and Old) Suggestions for improving personnel selection","volume":"1","author":"Kuncel","year":"2008","journal-title":"Ind. Organ. Psychol."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.jbusres.2016.10.029","article-title":"Staging luxury experiences for understanding sustainable fashion consumption: A balance theory application","volume":"74","author":"Han","year":"2017","journal-title":"J. Bus. Res."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1007\/s10551-015-2690-5","article-title":"The importance of consumer trust for the emergence of a market for green products: The case of organic food","volume":"140","author":"Nuttavuthisit","year":"2017","journal-title":"J. Bus. Ethics"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1002\/cb.1409","article-title":"Uncertainty in ethical consumer choice: A conceptual model","volume":"12","author":"Hassan","year":"2013","journal-title":"J. Consum. Behav."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1080\/1463922X.2011.611269","article-title":"Understanding reliance on automation: Effects of error type, error distribution, age and experience","volume":"15","author":"Sanchez","year":"2014","journal-title":"Theor. Issues Ergon. Sci."},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Wang, X., and Yin, M. (2021, January 14\u201317). Are Explanations Helpful? A Comparative Study of the Effects of Explanations in AI-Assisted Decision-Making. Proceedings of the 26th International Conference on Intelligent User Interfaces, College Station, TX, USA.","DOI":"10.1145\/3397481.3450650"},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Cai, W., Jin, Y., and Chen, L. (May, January 29). Impacts of Personal Characteristics on User Trust in Conversational Recommender Systems. Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA.","DOI":"10.1145\/3491102.3517471"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1016\/j.chb.2010.07.037","article-title":"Will you spend more money and time on internet shopping when the product and situation are right?","volume":"27","author":"Chiou","year":"2011","journal-title":"Comput. Hum. Behav."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"1259","DOI":"10.1080\/0144929X.2019.1583285","article-title":"System- vs. consumer-generated recommendations: Affective and socialpsychological effects on purchase intention","volume":"38","author":"Ashraf","year":"2019","journal-title":"Behav. Inf. Technol."},{"key":"ref_60","first-page":"1","article-title":"You deserve it! Why do consumers prefer arrogant brands?","volume":"26","author":"Jiang","year":"2022","journal-title":"Nankai Bus. Rev. Int."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"185","DOI":"10.2307\/20721420","article-title":"Research note: What makes a helpful online review? A study of customer reviews on Amazon. com","volume":"34","author":"Mudambi","year":"2010","journal-title":"MIS Q."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1086\/259630","article-title":"Information and consumer behavior","volume":"78","author":"Nelson","year":"1970","journal-title":"J. Political Econ."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/j.jretai.2004.04.001","article-title":"The influence of online product recommendations on consumers\u2019 online choices","volume":"80","author":"Senecal","year":"2004","journal-title":"J. Retail."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"106635","DOI":"10.1016\/j.chb.2020.106635","article-title":"The Automation of Leadership Functions: Would People Trust Decision Algorithms?","volume":"116","author":"Sondern","year":"2021","journal-title":"Comput. Hum. Behav."},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Kim, T., and Hinds, P. (2006, January 6\u20138). Who Should I Blame? Effects of Autonomy and Transparency on Attributions in Human-Robot Interaction. Proceedings of the ROMAN 2006-the 15th IEEE International Symposium on Robot and Human Interactive Communication, Hatfield, UK.","DOI":"10.1109\/ROMAN.2006.314398"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.chb.2018.07.022","article-title":"The importance of procedural justice in human\u2013machine interactions: Intelligent systems as new decision agents in organizations","volume":"89","author":"Maier","year":"2018","journal-title":"Comput. Hum. Behav."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"104619","DOI":"10.1016\/j.tourman.2022.104619","article-title":"Treat for affection? Customers\u2019 differentiated responses to pro-customer deviance","volume":"93","author":"Hu","year":"2022","journal-title":"Tour. Manag."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1007\/s10551-022-05208-9","article-title":"Employee Humor Can Shield Them from Abusive Supervision","volume":"186","author":"Huang","year":"2023","journal-title":"J. Bus. Ethics"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"1579","DOI":"10.1002\/job.2661","article-title":"Motivational Climates, Work Passion, and Behavioral Consequences","volume":"43","author":"Zhang","year":"2022","journal-title":"J. Organ. Behav."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"175","DOI":"10.3758\/BF03193146","article-title":"G*Power 3: A Flexible Statistical Power Analysis Program for the Social, Behavioral, and Biomedical Sciences","volume":"39","author":"Faul","year":"2007","journal-title":"Behav. Res. Methods"},{"key":"ref_71","unstructured":"(2024, May 01). Insight into the Chinese E-Commerce Platform Market in 2022. Available online: https:\/\/www.cbndata.com\/report\/3076\/detail?isReading=report&page=1."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"102404","DOI":"10.1016\/j.jretconser.2020.102404","article-title":"Social commerce website design, perceived value and loyalty behavior intentions: The moderating roles of gender, age and frequency of use","volume":"63","author":"Molinillo","year":"2021","journal-title":"J. Retail. Consum. Serv."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"102267","DOI":"10.1016\/j.ijinfomgt.2020.102267","article-title":"Gamification and online impulse buying: The moderating effect of gender and age","volume":"61","author":"Zhang","year":"2021","journal-title":"Int. J. Inf. Manag."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"101767","DOI":"10.1016\/j.techsoc.2021.101767","article-title":"Characterizing Chinese consumers\u2019 intention to use live e-commerce shopping","volume":"67","author":"Zhou","year":"2021","journal-title":"Technol. Soc."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"809","DOI":"10.1177\/0022243719851788","article-title":"Task-Dependent Algorithm Aversion","volume":"56","author":"Castelo","year":"2019","journal-title":"J. Mark. Res."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"912","DOI":"10.1016\/j.im.2018.04.005","article-title":"Perceived information transparency in B2C e-commerce: An empirical investigation","volume":"55","author":"Zhou","year":"2018","journal-title":"Inf. Manag."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/00273171.2014.962683","article-title":"An Index and Test of Linear Moderated Mediation","volume":"50","author":"Hayes","year":"2015","journal-title":"Multivar. Behav. Res."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.obhdp.2018.12.005","article-title":"Algorithm Appreciation: People Prefer Algorithmic to Human Judgment","volume":"151","author":"Logg","year":"2019","journal-title":"Organ. Behav. Hum. Decis. Process."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"237","DOI":"10.2753\/MIS0742-1222290107","article-title":"Differential Effects of Provider Recommendations and Consumer Reviews in E-Commerce Transactions: An Experimental Study","volume":"29","author":"Benlian","year":"2012","journal-title":"J. Manag. Inform. Syst."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1007\/s10257-014-0269-9","article-title":"Understanding the moderating roles of types of recommender systems and products on customer behavioral intention to use recommender systems","volume":"13","author":"Wang","year":"2015","journal-title":"Inf. Syst. E-Bus. Manag."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1057\/s41599-020-0387-6","article-title":"The interaction effect of online review language style and product type on consumers\u2019 purchase intentions","volume":"6","author":"Liu","year":"2020","journal-title":"Palgrave Commun."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"695","DOI":"10.2307\/25148660","article-title":"User acceptance of hedonic information systems","volume":"28","year":"2004","journal-title":"MIS Q."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"627","DOI":"10.5465\/annals.2018.0057","article-title":"Human trust in artificial intelligence: Review of empirical research","volume":"14","author":"Glikson","year":"2020","journal-title":"Acad. Manag. Ann."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1287\/orsc.2021.1554","article-title":"Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion","volume":"33","author":"Allen","year":"2022","journal-title":"Organ Sci."}],"container-title":["Journal of Theoretical and Applied Electronic Commerce Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/0718-1876\/19\/4\/126\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T16:08:53Z","timestamp":1760112533000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/0718-1876\/19\/4\/126"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,1]]},"references-count":84,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2024,12]]}},"alternative-id":["jtaer19040126"],"URL":"https:\/\/doi.org\/10.3390\/jtaer19040126","relation":{},"ISSN":["0718-1876"],"issn-type":[{"value":"0718-1876","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,1]]}}}