THE INFLUENCE OF CUSTOMER REVIEWS ON TRUST AND ONLINE PURCHASE DECISIONS: A SYSTEMATIC LITERATURE REVIEW
DOI:
https://doi.org/10.1234/ijebs.v2i1.107Keywords:
Customer Reviews, Consumer Trust, Online Purchase Decisions, E-commerce, Review CredibilityAbstract
Online customer reviews significantly influence consumer trust and purchase decisions in e-commerce environments. Despite substantial research, gaps exist in understanding how review characteristics comprehensively impact trust across contexts and how technological factors affect review credibility. This systematic literature review examines how review credibility influences trust, the relationship between review characteristics and purchase decisions, and technological factors affecting review effectiveness. Following PRISMA guidelines, we analyzed 64 articles from Scopus and Google Scholar (2019-2025) using bibliometric analysis and thematic synthesis. Our findings reveal that perceived authenticity and emotional tone of reviews serve as crucial determinants of consumer trust, while review volume, informativeness, and quality substantially impact purchase intentions. Technological factors, including AI-powered recommendation systems and fake review detection, significantly influence review effectiveness. Companies implementing transparent review systems with robust verification mechanisms enhance consumer trust, while those neglecting review credibility face trust erosion. This research contributes a comprehensive framework for understanding how reviews shape trust and purchase decisions, highlighting the necessity for businesses to implement effective review management strategies aligned with consumer expectations for authenticity.
References
16th Wuhan International Conference on E-Business, WHICEB 2017. (2017). 16th Wuhan International Conference on E-Business, WHICEB 2017. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138714134&partnerID=40&md5=87ab9f392a0982df05179ab5a20d324f
3rd International Conference on Design, Operation and Evaluation of Mobile Communications, MOBILE 2022 Held as Part of the 24th HCI International Conference, HCII 2022. (2022). Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13337 LNCS. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133021969&partnerID=40&md5=8b3fab5ae5c70974c0cfd0dfeb19f07d
5th International Conference on Digital Marketing and eCommerce Conference, DMEC 2024. (2024). Springer Proceedings in Business and Economics. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199551420&partnerID=40&md5=5b91900ad07eb1041e6cf9c59b71dd41
Al-Adwan, A. S. (2019). Revealing the influential factors driving social commerce adoption. Interdisciplinary Journal of Information, Knowledge, and Management, 14, 295–324. https://doi.org/10.28945/4438
Alharbi, K., & Alkhalifah, A. (2024). Examining the Role of Trust and Privacy Effects Through Online Reviews in Social Commerce Using an Integrated Model and Hybrid Approach Analysis. IEEE Transactions on Engineering Management, 71, 10943–10965. https://doi.org/10.1109/TEM.2024.3406330
Almiron, P., & Niklander Ribera, G. (2020). Online reviews indexicality: The construction of verisimilitude in post–truth E–commerce. Lexia, 2020(33–34), 143–153. https://doi.org/10.4399/97888255354268
Anas, S. M., & Kumari, S. (2021). Opinion Mining based Fake Product review Monitoring and Removal System. Proceedings of the 6th International Conference on Inventive Computation Technologies, ICICT 2021, 985–988. https://doi.org/10.1109/ICICT50816.2021.9358716
Arma, O. (2022). THE IMPACT OF VIRTUAL ANCHOR PERCEIVED WARMTH AND COMPETENCE ON CONSUMER PURCHASE INTENTION IN DIGITAL MARKETING. Artificial Intelligence Research and Applied Learning, 1(1). https://journal.dinamikapublika.id/index.php/aira
Attar, R. W., Shanmugam, M., & Hajli, N. (2021). Investigating the antecedents of e-commerce satisfaction in social commerce context. British Food Journal, 123(3), 849–868. https://doi.org/10.1108/BFJ-08-2020-0755
Auttaput, T., Chiyasoonthorn, W., & Chaveesuk, S. (2018). S-commerce buying decision model for second-hand products in Thailand: A conceptual framework. Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering, WCSE 2018, 387–394. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054601479&partnerID=40&md5=9c0a70bd2e6df58c9e41ea89d7246a79
Bing, X., & Yang, Z. (2020). Study of two-period pricing strategies for experiential products based on “praise cash-back” and negativity bias. Journal of Industrial Engineering and Engineering Management, 34(2), 21–29. https://doi.org/10.13587/j.cnki.jieem.2020.02.003
Carbonell, G., Barbu, C.-M., Vorgerd, L., & Brand, M. (2019). The impact of emotionality and trust cues on the perceived trustworthiness of online reviews. Cogent Business and Management, 6(1). https://doi.org/10.1080/23311975.2019.1586062
Cerny, M., & Hanak, R. (2024). Online Purchasing Decisions Affected by Social Factors and Functionality. IBIMA Business Review, 2024. https://doi.org/10.5171/2024.143395
Chandra, S., & Verma, S. (2023). Personalized Recommendation During Customer Shopping Journey. In The Palgrave Handbook of Interactive Marketing (pp. 729–752). https://doi.org/10.1007/978-3-031-14961-0_32
Chaudhry, R. S., & Chandhok, A. (2024). Online Reviews- An effective way to reduce perceived consumer risks of online shopping. 2024 IEEE International Students’ Conference on Electrical, Electronics and Computer Science, SCEECS 2024. https://doi.org/10.1109/SCEECS61402.2024.10482208
Cordova-Buiza, F., Hernandez-Zuniga, K., Julca-Carrasco, K., & Huerta-Tantalean, L. N. (2022). Strategic Management of E-Commerce in Commercial Companies: A Systematic Review (2016-2020). Proceedings of the European Conference on Innovation and Entrepreneurship, ECIE, 17(1), 141–147. https://doi.org/10.34190/ecie.17.1.344
Cui, G., Chung, Y., Peng, L., & Zheng, W. (2022). The importance of being earnest: Mandatory vs. voluntary disclosure of incentives for online product reviews. Journal of Business Research, 141, 633–645. https://doi.org/10.1016/j.jbusres.2021.11.068
Desyawulansari, N., Nadlifatin, R., & Subriadi, A. P. (2023). What influences Intention to Buy Cosmetic Products through Online Commerce: a Bibliometric Analysis. 2023 14th International Conference on Information and Communication Technology and System, ICTS 2023, 164–169. https://doi.org/10.1109/ICTS58770.2023.10330878
Dwidienawati, D., Tjahjana, D., Abdinagoro, S. B., & Gandasari, D. (2020). Customer review or influencer endorsement: which one influences purchase intention more? Heliyon, 6(11). https://doi.org/10.1016/j.heliyon.2020.e05543
Elshaer, I. A., Alrawad, M., Lutfi, A., & Azazz, A. M. S. (2024). Social commerce and buying intention post COVID-19: Evidence from a hybrid approach based on SEM – fsQCA. Journal of Retailing and Consumer Services, 76. https://doi.org/10.1016/j.jretconser.2023.103548
Furner, C. P., Drake, J. R., Zinko, R., & Kisling, E. (2022). Online Review Antecedents of Trust, Purchase, and Recommendation Intention: A Simulation-Based Experiment for Hotels and AirBnBs. Journal of Internet Commerce, 21(1), 79–103. https://doi.org/10.1080/15332861.2020.1870342
Guan, C., & Lin, B. (2024). Do consumers concern about energy saving in purchasing energy-efficient home appliances? Evidence from online e-commerce review. Energy Policy, 193. https://doi.org/10.1016/j.enpol.2024.114277
Gurney, L., Eveland, J. J. D., & Guzman, I. R. (2019). “What you say, I buy!”: Information diagnosticity and the impact of electronic word-of-mouth (EWOM) consumer reviews on purchase intention. SIGMIS-CPR 2019 - Proceedings of the 2019 Computers and People Research Conference, 183–189. https://doi.org/10.1145/3322385.3322406
Gutowska, A., Sloane, A., & Buckley, K. A. (2009). On Desideratum for B2C E-Commerce Reputation Systems. Journal of Computer Science and Technology, 24(5), 820–832. https://doi.org/10.1007/s11390-009-9274-8
Halim, E., Muzakir, Z. F., & Hebrard, M. (2022). The Impact on Review Credibility and Trust from Review Solicitation on E-commerce. Proceedings - 2022 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCom 2022, 196–201. https://doi.org/10.1109/CyberneticsCom55287.2022.9865619
Herzallah, F., & Al-Sharafi, M. A. (2025). Mitigating seller uncertainty in social commerce platforms by exploring pre-purchase customer-seller signals. Digital Business, 5(1). https://doi.org/10.1016/j.digbus.2025.100116
Huang, X. (2012). Function-based categorization of online product information types. 18th Americas Conference on Information Systems 2012, AMCIS 2012, 2, 1425–1440. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84877879955&partnerID=40&md5=1947a727380f5901444f012b984e3b25
Huang, X., & Soergel, D. (2013). Functional relevance and inductive development of an e-retailing product information typology. Information Research, 18(2). https://www.scopus.com/inward/record.uri?eid=2-s2.0-84879174708&partnerID=40&md5=827ca774df8aa476ce6970efa116dbf4
Huang, X., Xie, K., & Xiao, J. (2012). Applying a Topical Relevance Typology to Analyze Online Product Information Types and Their Effects on Internet Consumer Decision Making. 11th Wuhan International Conference on E-Business, WHICEB 2012, 280–287. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138737880&partnerID=40&md5=218ee53e057f3e11f00ad3de64d4a709
Husain, A. J. A., Alsharo, M., AlRababah, S. A., & Jaradat, M.-I. R. (2023). CONTENT-RATING CONSISTENCY OF ONLINE PRODUCT REVIEW AND ITS IMPACT ON HELPFULNESS: A FINE-GRAINED LEVEL SENTIMENT ANALYSIS. Interdisciplinary Journal of Information, Knowledge, and Management, 18, 645–666. https://doi.org/10.28945/5187
Ingriana, A., Prajitno, G. G., & Rolando, B. (2024). THE UTILIZATION OF AI AND BIG DATA TECHNOLOGY FOR OPTIMIZING DIGITAL MARKETING STRATEGIES. International Journal of Economics And Business Studies, 1(1), 21–42. https://doi.org/10.1234/IJEBS.V1I1.1
Inovero, C. G., Ditablan, G. J. P., Reyes, J. R. C., & Tajanlangit, R. E. (2022). A Sentiment Analysis Classification of Product Reviews through Convolutional Neural Networks (CNN). ACM International Conference Proceeding Series, 8–14. https://doi.org/10.1145/3582197.3582199
Jangra, G., & Jangra, M. (2022). Role of Artificial Intelligence in Online Shopping and its Impact on Consumer purchasing behaviour and Decision. 2022 2nd International Conference on Computer Science, Engineering and Applications, ICCSEA 2022. https://doi.org/10.1109/ICCSEA54677.2022.9936374
Kargirwar, H., Bhagavatula, P., Konde, S., Chaudhari, P., Dhamde, V., Sakarkar, G., & Correa, J. C. (2023). E-commerce Product’s Trust Prediction Based on Customer Reviews. Lecture Notes in Networks and Systems, 608, 375–383. https://doi.org/10.1007/978-981-19-9225-4_28
Katyal, P., & Sehgal, R. (2025). Unraveling the impact of online consumer reviews on consumer buying behavior. International Journal of System Assurance Engineering and Management, 16(1), 330–345. https://doi.org/10.1007/s13198-024-02618-y
Kim, Y. A., & Srivastava, J. (2007). Impact of social influence in e-commerce decision making. ACM International Conference Proceeding Series, 258, 293–302. https://doi.org/10.1145/1282100.1282157
Kim, Y., Srite, M., & Zhao, H. (2023). Trust antecedents in online reviews across national cultures. Decision Support Systems, 173. https://doi.org/10.1016/j.dss.2023.113998
Lee, J., Park, D.-H., & Han, I. (2011). The different effects of online consumer reviews on consumers’ purchase intentions depending on trust in online shopping malls: An advertising perspective. Internet Research, 21(2), 187–206. https://doi.org/10.1108/10662241111123766
Lin, X., Wang, X., & Hajli, N. (2019). Building E-Commerce Satisfaction and Boosting Sales: The Role of Social Commerce Trust and Its Antecedents. International Journal of Electronic Commerce, 23(3), 328–363. https://doi.org/10.1080/10864415.2019.1619907
Lu, B., & Ma, B. (2025). Unraveling the impacts of review content features on consumer perceptions considering initial and appended reviews. Aslib Journal of Information Management. https://doi.org/10.1108/AJIM-10-2024-0797
Ma, X., Li, Y., & Asif, M. (2024). E-Commerce Review Sentiment Analysis and Purchase Intention Prediction Based on Deep Learning Technology. Journal of Organizational and End User Computing, 36(1), 1–29. https://doi.org/10.4018/JOEUC.335122
Maddodi, B., Shetty, D. K., Tatkar, N. S., Parthasarathy, K., Shridutt, B., Prasad, S. K., Pavithra, S., Naik, N., Mahdaviamiri, D., & Patil, V. (2025). Factors influencing online purchase decisions of pharmaceutical products by baby boomers: mediating effect of consumer behaviour and attitude on trust development. International Journal of Business Information Systems, 48(1), 118–135. https://doi.org/10.1504/IJBIS.2025.144077
Maha, V. A., Hartono, S. D., Prajitno, G. G., & Hartanti, R. (2025). E-COMMERCE LOKAL VS GLOBAL: ANALISIS MODEL BISNIS DAN PREFERENSI KONSUMEN. JUMDER: Jurnal Bisnis Digital Dan Ekonomi Kreatif, 1(1), 21–44. https://doi.org/10.1234/JUMDER.V1I1.9
Malik, M. S. I., & Hussain, A. (2017). Helpfulness of product reviews as a function of discrete positive and negative emotions. Computers in Human Behavior, 73, 290–302. https://doi.org/10.1016/j.chb.2017.03.053
Mardhiyah, A. S. (2022). TECHNOLOGY’S ROLE IN RESHAPING THE E-COMMERCE LANDSCAPE. Artificial Intelligence Research and Applied Learning, 1(2). https://journal.dinamikapublika.id/index.php/aira
Mei, L., Tang, N., Zeng, Z., & Shi, W. (2025). Artificial Intelligence Technology in Live Streaming E-commerce: Analysis of Driving Factors of Consumer Purchase Decisions. International Journal of Computers, Communications and Control, 20(1). https://doi.org/10.15837/ijccc.2025.1.6871
Monteith, S., Glenn, T., Geddes, J. R., Whybrow, P. C., Achtyes, E. D., & Bauer, M. (2024). Implications of Online Self-Diagnosis in Psychiatry. Pharmacopsychiatry, 57(2), 45–52. https://doi.org/10.1055/a-2268-5441
Moriuchi, E. (2021). The impact of country of origin on consumers’ pricing judgments in ecommerce settings. International Marketing Review, 38(3), 514–538. https://doi.org/10.1108/IMR-10-2019-0245
Mulyono, H. (2024). Pengaruh Diskon Tanggal Kembar Pada E-Commerce Terhadap Keputusan Pembelian | International Journal of Economics And Business Studies. International Journal of Economics And Business Studies (IJEBS), 1(1), 1–20. https://journal.dinamikapublika.id/index.php/IJEBS/article/view/2
Mulyono, H., Hartanti, R., & Rolando, B. (2025). SUARA KONSUMEN DI ERA DIGITAL: BAGAIMANA REVIEW ONLINE MEMBENTUK PERILAKU KONSUMEN DIGITAL. JUMDER: Jurnal Bisnis Digital Dan Ekonomi Kreatif, 1(1), 1–20. https://doi.org/10.1234/JUMDER.V1I1.10
Obaid, A. J., Burlea-Schiopoiu, A., Bhushan, B., Bobur, S., & Rajest, S. S. (2024). E-Commerce, Marketing, and Consumer Behavior in the AI Era. In E-Commerce, Marketing, and Consumer Behavior in the Ai Era. https://doi.org/10.4018/979-8-3693-5548-0
Oliveira, C., Garcia, A. C. B., & Diirr, B. (2022). Why shop on social media? A systematic review. International Journal of Internet Marketing and Advertising, 16(4), 344–368. https://doi.org/10.1504/IJIMA.2022.123162
Peña-García, N., Losada-Otálora, M., Auza, D. P., & Cruz, M. P. (2024). Reviews, trust, and customer experience in online marketplaces: the case of Mercado Libre Colombia. Frontiers in Communication, 9. https://doi.org/10.3389/fcomm.2024.1460321
Putri, L. W. B. (2022). TRACING THE DEVELOPMENT OF MARKETING IN THE AI ERA: A COMPREHENSIVE LITERATURE ANALYSIS. Artificial Intelligence Research and Applied Learning, 1(1). https://journal.dinamikapublika.id/index.php/aira
Rahardja, B. V., Rolando, B., Chondro, J., & Laurensia, M. (2025). MENDORONG PERTUMBUHAN E-COMMERCE: PENGARUH PEMASARAN MEDIA SOSIAL TERHADAP KINERJA PENJUALAN. JUMDER: Jurnal Bisnis Digital Dan Ekonomi Kreatif, 1(1), 45–61. https://doi.org/10.1234/JUMDER.V1I1.6
Rahimi, H., Mezrioui, A., & Daoudi, N. (2020). A Sentiment-Based Trust and Reputation System in E-Commerce by Extending SentiWordNet. Advances in Intelligent Systems and Computing, 1076, 765–784. https://doi.org/10.1007/978-981-15-0947-6_73
Ramli, R., Bakar, A. A., & Aziz, N. (2016). Review of literatures on trust factors affecting customer’s purchase intention on SOHO seller: S-commerce context. Information (Japan), 19(7B), 2791–2796. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84989935857&partnerID=40&md5=718646cc3c146ba1ae51afe3dc3eb047
Rolando, B. (2024). CULTURAL ADAPTATION AND AUTOMATED SYSTEMS IN E-COMMERCE COPYWRITING: OPTIMIZING CONVERSION RATES IN THE INDONESIAN MARKET. International Journal of Economics And Business Studies, 1(1), 57–86. https://doi.org/10.1234/IJEBS.V1I1.4
Rolando, B., & Ingriana, A. (2024). SUSTAINABLE BUSINESS MODELS IN THE GREEN ENERGY SECTOR: CREATING GREEN JOBS THROUGH RENEWABLE ENERGY TECHNOLOGY INNOVATION. International Journal of Economics And Business Studies, 1(1), 43–56. https://doi.org/10.1234/IJEBS.V1I1.3
Rolando, B., & Mulyono, H. (2025a). Diverse Learning Environments on Students Entrepreneurial Intentions. International Journal of Pedagogy and Teacher Education-9, 9(1), 119–137. https://doi.org/10.20961/ijpte.v9i1.98592
Rolando, B., & Mulyono, H. (2025b). E-Commerce as a Catalyst for Digital Economy Development: A Study of Marketing Strategies and Their Impact. Journal of Distribution Science, 23(4), 61–79. https://doi.org/10.15722/jds.23.04.202504.61
Rolando, B., Ariyanto, K., Alexia, K. R., & Hartanti, R. (2022). PERAN AI DAN BIG DATA DALAM MENGOPTIMALKAN STRATEGI PEMASARAN DIGITAL. Artificial Intelligence Research and Applied Learning, 1(1). https://journal.dinamikapublika.id/index.php/aira
Rolando, B., Chandra, C. K., & Widjaja, A. F. (2025). TECHNOLOGICAL ADVANCEMENTS AS KEY DRIVERS IN THE TRANSFORMATION OF MODERN E-COMMERCE ECOSYSTEMS. 1(2). https://journal.dinamikapublika.id/index.php/Jumder
Rolando, B., Widjaja, A. F., & Chandra, C. K. (2025). UNDERSTANDING FASHION PURCHASING DECISIONS: A SYSTEMATIC REVIEW OF CONSUMER BEHAVIOR IN RETAIL (Vol. 1, Issue 1). https://journal.dinamikapublika.id/index.php/mosaic
Rosário, A., & Raimundo, R. (2021). Consumer marketing strategy and e-commerce in the last decade: A literature review. Journal of Theoretical and Applied Electronic Commerce Research, 16(7), 3003–3024. https://doi.org/10.3390/jtaer16070164
Sahu, P., Bakshi, S., Sharma, M., Dholakia, N., Bhargav, S., Pattanayak, S. K., & Rathi, S. (2024). The Role of Online Reviews and Trust in the Adoption of E-Commerce for Online Vestment Transactions. International Review of Management and Marketing , 14(5), 10–17. https://doi.org/10.32479/irmm.16575
Setiawan, B. L. T. (2022). ANALISIS PERAN AUGMENTED REALITY (AR) DALAM PEMASARAN DAN DAMPAKNYA PADA PERILAKU KONSUMEN. Artificial Intelligence Research and Applied Learning, 1(1). https://journal.dinamikapublika.id/index.php/aira
Sıcakyüz, Ç., & Erdebilli, B. (2023). Is E-Trust a Driver of Sustainability? An Assessment of Turkish E-Commerce Sector with an Extended Intuitionistic Fuzzy ORESTE Approach. Sustainability (Switzerland), 15(13). https://doi.org/10.3390/su151310693
Singh, A. K., Raghuwanshi, S., Sharma, S., Khare, V., Singhal, A., Tripathi, M., & Banerjee, S. (2023). MODELING THE NEXUS BETWEEN PERCEIVED VALUE, RISK, NEGATIVE MARKETING, AND CONSUMER TRUST WITH CONSUMERS’ SOCIAL CROSS-PLATFORM BUYING BEHAVIOUR IN INDIA USING SMART-PLS. Journal of Law and Sustainable Development, 11(4). https://doi.org/10.55908/sdgs.v11i4.488
Su, W.-T., Lehto, M. R., Lehto, X. Y., Yi, J. S., Shi, Z., & Liu, X. (2017). The Influence of Reviewer Demographic Information Provision on Trust and Purchase Intent for Users of Online Websites. Journal of Quality Assurance in Hospitality and Tourism, 18(3), 328–353. https://doi.org/10.1080/1528008X.2016.1230035
Sun, C., & Yu, C. (2025). Study on enhancing consumers’ purchase intention in E-commerce agricultural products. British Food Journal. https://doi.org/10.1108/BFJ-09-2024-0952
Tan, D. M. (2022). A SYSTEMATIC REVIEW OF THE AI-POWERED MARKETING REVOLUTION: FROM TRADITIONAL TO DATA-DRIVEN APPROACHES. Artificial Intelligence Research and Applied Learning, 1(2). https://journal.dinamikapublika.id/index.php/aira
Teja Santosh, D., & Sudheer Babu, K. (2014). Building trust in online reviews by a customer through linked data. IEEE TENSYMP 2014 - 2014 IEEE Region 10 Symposium, 342–346. https://doi.org/10.1109/tenconspring.2014.6863054
Vieira, J., Frade, R., Ascenso, R., Prates, I., & Martinho, F. (2020). Generation Z and key-factors on E-commerce: A study on the Portuguese tourism sector. Administrative Sciences, 10(4). https://doi.org/10.3390/admsci10040103
Wang, L., Liu, Y., Liu, X., & Liu, M. (2025). The influence of informative and normative features of social e-commerce UGC on consumers’ purchase intention: the moderating effect of persuasive resistance. Behaviour and Information Technology. https://doi.org/10.1080/0144929X.2025.2461228
Wen, I. (2009). Research in brief: Factors affecting the online travel buying decision: A review. International Journal of Contemporary Hospitality Management, 21(6), 752–765. https://doi.org/10.1108/09596110910975990
Widjaja, A. F. (2025). FACTORS INFLUENCING PURCHASE INTENTION IN E-COMMERCE: AN ANALYSIS OF BRAND IMAGE, PRODUCT QUALITY, AND PRICE. 1(3). https://journal.dinamikapublika.id/index.php/Jumder
Widodo, R. E. K. O., & Napitupulu, T. A. (2023). EXPLORING THE IMPACT OF LIVE STREAMING FOR E-COMMERCE BUSINESS: A SYSTEMATIC LITERATURE REVIEW. Journal of Theoretical and Applied Information Technology, 101(16), 6585–6595. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173743145&partnerID=40&md5=d464ed59f2ea21e4509b96fd1f5e6380
Wijaya, A. J. (2022). PERAN DAN IMPLEMENTASI TEKNOLOGI KECERDASAN BUATAN DALAM PENGALAMAN KONSUMEN E-COMMERCE: SEBUAH TINJAUAN SISTEMATIS. Artificial Intelligence Research and Applied Learning, 1(1). https://journal.dinamikapublika.id/index.php/aira
Winata, V. (2022). OPTIMIZING BIG DATA PROCESSING THROUGH ARTIFICIAL INTELLIGENCE: A SYSTEMATIC LITERATURE REVIEW. Artificial Intelligence Research and Applied Learning, 1(2). https://journal.dinamikapublika.id/index.php/aira
Yao, L. (2012). Mining helpfulness products reviews for C2C E-commerce. International Journal of Advancements in Computing Technology, 4(14), 123–132. https://doi.org/10.4156/ijact.vol4.issue14.15
Zabeen, S., Hasan, A., Islam, M. F., Hossain, M. S., & Rasel, A. A. (2023). Robust Fake Review Detection Using Uncertainty-Aware LSTM and BERT. Proceedings - 2023 15th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2023, 786–791. https://doi.org/10.1109/CICN59264.2023.10402342
Zhu, F., Liu, G., Liu, A., Zhao, L., & Zhou, X. (2014). An evolution-based robust social influence evaluation method in Online Social Networks. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8787, 141–157. https://doi.org/10.1007/978-3-319-11746-1_10
Zulfiqar, M., Tariq, F., Janjua, M. U., Mian, A. N., Qayyum, A., Qadir, J., Sher, F., & Hassan, M. (2021). EthReview: An Ethereum-based Product Review System for Mitigating Rating Frauds. Computers and Security, 100. https://doi.org/10.1016/j.cose.2020.102094
