• Tahmasbi N, Shan G and French A. Identifying Washtrading Cases in NFT Sales Networks. IEEE Transactions on Computational Social Systems. 10.1109/TCSS.2023.3319554. 11:2. (1696-1707).

    https://ieeexplore.ieee.org/document/10272388/

  • Nagle F, Seamans R and Tadelis S. (2024). EXPRESS: Transaction Cost Economics in the Digital Economy: A Research Agenda. Strategic Organization. 10.1177/14761270241228674.

    http://journals.sagepub.com/doi/10.1177/14761270241228674

  • Huang E, Lin S and Hsieh I. (2021). Online marketplace sellers’ influence on rating scores and comment orientation. Electronic Commerce Research. 23:2. (1241-1270). Online publication date: 1-Jun-2023.

    https://doi.org/10.1007/s10660-021-09511-x

  • Woods D and Walter L. (2022). Reviewing Estimates of Cybercrime Victimisation and Cyber Risk Likelihood 2022 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW). 10.1109/EuroSPW55150.2022.00021. 978-1-6654-9560-8. (150-162).

    https://ieeexplore.ieee.org/document/9799402/

  • Mueller R, Huettemann S, Larsen K, Yan S and Handler A. Toward an Information Systems Ontology. The Transdisciplinary Reach of Design Science Research. (55-67).

    https://doi.org/10.1007/978-3-031-06516-3_5

  • Trevathan J and Read W. (2021). Detecting multiple seller collusive shill bidding. Electronic Commerce Research and Applications. 48:C. Online publication date: 1-Jul-2021.

    https://doi.org/10.1016/j.elerap.2021.101066

  • 李 心. (2021). Complaints in Passive-Aggressive Text Messaging—From Pragmatic Approach. Modern Linguistics. 10.12677/ML.2021.92073. 09:02. (530-537).

    https://www.HansPub.org/journal/doi.aspx?DOI=10.12677/ML.2021.92073

  • Vétel B. (2020). Se jouer des cadres de l’expérience : arnaques et prises de tête dans un jeu vidéoPlaying with frameworks of experience. Scams and quarrels in video games. Communiquer. Revue de communication sociale et publique. 10.4000/communiquer.6317:28. (141-163). Online publication date: 22-May-2020.

    http://journals.openedition.org/communiquer/6317

  • Rossy Q and Ribaux O. (2020). Orienting the Development of Crime Analysis Processes in Police Organisations Covering the Digital Transformations of Fraud Mechanisms. European Journal on Criminal Policy and Research. 10.1007/s10610-020-09438-3.

    http://link.springer.com/10.1007/s10610-020-09438-3

  • Lyall B. (2019). Fitness for sale: The value of self-tracking in secondhand exchange. The Information Society. 10.1080/01972243.2019.1582569. 35:3. (109-121). Online publication date: 27-May-2019.

    https://www.tandfonline.com/doi/full/10.1080/01972243.2019.1582569

  • Luo S and Wan S. Leveraging Product Characteristics for Online Collusive Detection in Big Data Transactions. IEEE Access. 10.1109/ACCESS.2019.2891907. 7. (40154-40164).

    https://ieeexplore.ieee.org/document/8611468/

  • Zhang X, Tsai F, Lin C, Cheng Y and Lu K. (2018). Fraud, Economic versus Social-Psychological Losses, and Sustainable E-Auction. Sustainability. 10.3390/su10093130. 10:9. (3130).

    https://www.mdpi.com/2071-1050/10/9/3130

  • Trevathan J. (2018). Getting into the mind of an “in-auction” fraud perpetrator. Computer Science Review. 10.1016/j.cosrev.2017.10.001. 27. (1-15). Online publication date: 1-Feb-2018.

    https://linkinghub.elsevier.com/retrieve/pii/S1574013717301247

  • Gregg D and Parthasarathy M. (2017). Factors affecting the long-term survival of eBay ventures: a longitudinal study. Small Business Economics. 10.1007/s11187-017-9846-x. 49:2. (405-419). Online publication date: 1-Aug-2017.

    http://link.springer.com/10.1007/s11187-017-9846-x

  • Liu Z, Ma J, Jiang Z, Miao Y, Gao C and Du W. (2016). IRLT: Integrating Reputation and Local Trust for Trustworthy Service Recommendation in Service-Oriented Social Networks. PLOS ONE. 10.1371/journal.pone.0151438. 11:3. (e0151438).

    https://dx.plos.org/10.1371/journal.pone.0151438

  • Hayne S, Wang H and Wang L. (2015). Modeling Reputation as a Time‐Series: Evaluating the Risk of Purchase Decisions on eBay*. Decision Sciences. 10.1111/deci.12156. 46:6. (1077-1107). Online publication date: 1-Dec-2015.

    https://onlinelibrary.wiley.com/doi/10.1111/deci.12156

  • Mohamed D and Sakre M. (2015). A performance comparison between classification techniques with CRM application 2015 SAI Intelligent Systems Conference (IntelliSys). 10.1109/IntelliSys.2015.7361133. 978-1-4673-7606-8. (112-119).

    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7361133

  • Schlaegel C. (2015). Understanding individuals’ initial and continued use of online auction marketplaces. Management Research Review. 10.1108/MRR-09-2013-0210. 38:8. (855-907). Online publication date: 17-Aug-2015.

    http://www.emeraldinsight.com/doi/10.1108/MRR-09-2013-0210

  • Masterov D, Mayer U and Tadelis S. Canary in the e-Commerce Coal Mine. Proceedings of the Sixteenth ACM Conference on Economics and Computation. (81-93).

    https://doi.org/10.1145/2764468.2764499

  • Wierzbicki A and Adamska P. (2015). e ‐Commerce Reputation Systems . The International Encyclopedia of Digital Communication and Society. 10.1002/9781118767771.wbiedcs054. (1-9).

    https://onlinelibrary.wiley.com/doi/10.1002/9781118767771.wbiedcs054

  • Scott J, Gregg D and Choi J. (2015). Lemon complaints. Information Systems Frontiers. 17:1. (177-191). Online publication date: 1-Feb-2015.

    https://doi.org/10.1007/s10796-012-9394-5

  • Kim S, Wang R and Malthouse E. (2015). The Good and the Bad of Negative Word-of-Mouth: Empirical Investigation into the Effect of Online Messages. Advances in Advertising Research (Vol. V). 10.1007/978-3-658-08132-4_6. (75-88).

    https://link.springer.com/10.1007/978-3-658-08132-4_6

  • Beranek L. (2014). Uncertain Reasoning for Detection of Selling Stolen Goods in Online Auctions Using Contextual Information. Advances in Decision Sciences. 10.1155/2014/891954. 2014. (1-14). Online publication date: 25-Nov-2014.

    https://www.hindawi.com/archive/2014/891954/

  • Pousttchi K and Hufenbach Y. (2014). Engineering the Value Network of the Customer Interface and Marketing in the Data-Rich Retail Environment. International Journal of Electronic Commerce. 10.2753/JEC1086-4415180401. 18:4. (17-42). Online publication date: 1-Jul-2014.

    https://www.tandfonline.com/doi/full/10.2753/JEC1086-4415180401

  • Nikitkov A, Stone D and Miller T. (2014). Internal Controls, Routine Activity Theory (RAT), and Sustained Online Auction Deception: A Longitudinal Analysis. Journal of Information Systems. 10.2308/isys-50708. 28:1. (311-337). Online publication date: 1-Jun-2014.

    https://publications.aaahq.org/jis/article/28/1/311/1560/Internal-Controls-Routine-Activity-Theory-RAT-and

  • Chong S, Abawajy J, Hamid I and Ahmad M. (2014). A Multilevel Trust Management Framework for Service Oriented Environment. Procedia - Social and Behavioral Sciences. 10.1016/j.sbspro.2014.03.693. 129. (396-405). Online publication date: 1-May-2014.

    https://linkinghub.elsevier.com/retrieve/pii/S1877042814028754

  • 오종철 and HyungSub Jang . (2013). An Effect of Service Recovery Efforts of Tenant on Open Market Loyalty : Focused on Trust Transfer. Journal of Korea Service Management Society. 10.15706/jksms.2013.14.5.011. 14:5. (249-272). Online publication date: 1-Dec-2013.

    http://www.kci.go.kr/kciportal/landing/article.kci?arti_id=ART001829473

  • Almendra V and Enachescu D. Using Self-Organizing Maps for Fraud Prediction at Online Auction Sites. Proceedings of the 2013 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing. (281-288).

    https://doi.org/10.1109/SYNASC.2013.44

  • Almendra V. (2013). Finding the needle. Expert Systems with Applications: An International Journal. 40:12. (4805-4811). Online publication date: 1-Sep-2013.

    https://doi.org/10.1016/j.eswa.2013.02.027

  • Chiu S, Chou H and Chiu C. (2013). The Antecedents of Buyers' Perceived Justice in Online Markets. Cyberpsychology, Behavior, and Social Networking. 10.1089/cyber.2012.0539. 16:7. (536-542). Online publication date: 1-Jul-2013.

    http://www.liebertpub.com/doi/10.1089/cyber.2012.0539

  • Kim K, Choi Y and Park J. (2013). Pricing fraud detection in online shopping malls using a finite mixture model. Electronic Commerce Research and Applications. 10.1016/j.elerap.2013.01.001. 12:3. (195-207). Online publication date: 1-May-2013.

    https://linkinghub.elsevier.com/retrieve/pii/S1567422313000045

  • Wierzbicki A, Kaszuba T, Nielek R, Adamska P and Datta A. (2013). Improving computational trust representation based on Internet auction traces. Decision Support Systems. 54:2. (929-940). Online publication date: 1-Jan-2013.

    https://doi.org/10.1016/j.dss.2012.09.016

  • Almendra V. (2012). A Comprehensive Analysis of Nondelivery Fraud at a Major Online Auction Site. Journal of Internet Commerce. 10.1080/15332861.2012.729469. 11:4. (309-328). Online publication date: 15-Nov-2012.

    http://www.tandfonline.com/doi/abs/10.1080/15332861.2012.729469

  • Almendra V and Enachescu D. A Fraudster in a Haystack. Proceedings of the 2012 14th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing. (233-239).

    https://doi.org/10.1109/SYNASC.2012.21

  • You W, Xia M, Liu L and Liu D. (2012). Customer knowledge discovery from online reviews. Electronic Markets. 10.1007/s12525-012-0098-y. 22:3. (131-142). Online publication date: 1-Sep-2012.

    http://link.springer.com/10.1007/s12525-012-0098-y

  • Chang W and Chang J. (2012). An effective early fraud detection method for online auctions. Electronic Commerce Research and Applications. 11:4. (346-360). Online publication date: 1-Jul-2012.

    https://doi.org/10.1016/j.elerap.2012.02.005

  • Hayne S, Wang H and Mendonca S. (2012). eBay as the “Terminator”: Determining User Suspension From Feedback Ratings. Journal of Organizational Computing and Electronic Commerce. 10.1080/10919392.2012.667714. 22:2. (160-183). Online publication date: 1-Apr-2012.

    http://www.tandfonline.com/doi/abs/10.1080/10919392.2012.667714

  • Nissan E. (2012). Accounting for Social, Spatial, and Textual Interconnections. Computer Applications for Handling Legal Evidence, Police Investigation and Case Argumentation. 10.1007/978-90-481-8990-8_6. (483-765).

    https://link.springer.com/10.1007/978-90-481-8990-8_6

  • Guimarães S, Pereira A, Silva A and Meira W. Credibility of web applications. Proceedings of the International Conference on Management of Emergent Digital EcoSystems. (25-32).

    https://doi.org/10.1145/2077489.2077494

  • Almendra V and Enachescu D. A Supervised Learning Process to Elicit Fraud Cases in Online Auction Sites. Proceedings of the 2011 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing. (168-174).

    https://doi.org/10.1109/SYNASC.2011.15

  • You W, Liu L, Xia M and Lv C. (2011). Reputation inflation detection in a Chinese C2C market. Electronic Commerce Research and Applications. 10:5. (510-519). Online publication date: 1-Sep-2011.

    https://doi.org/10.1016/j.elerap.2011.06.001

  • Guimaraes S, Silva A, Meira Jr. W and Pereira A. CredibilityRank. Proceedings of the 2010 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing. (504-510).

    https://doi.org/10.1109/EUC.2010.83

  • Nielek R, Wawer A and Wierzbicki A. (2010). Spiral of hatred. Electronic Commerce Research. 10:3-4. (313-330). Online publication date: 1-Dec-2010.

    https://doi.org/10.1007/s10660-010-9058-9

  • (2010). Bibliography. An Introduction to Search Engines and Web Navigation. 10.1002/9780470874233.biblio. (424-461). Online publication date: 1-Oct-2010.

    https://onlinelibrary.wiley.com/doi/10.1002/9780470874233.biblio

  • Androutsellis-Theotokis S, Spinellis D, Louridas P and Stroggylos K. (2010). A market-based approach to managing the risk of peer-to-peer transactions. Computer Networks: The International Journal of Computer and Telecommunications Networking. 54:5. (675-688). Online publication date: 1-Apr-2010.

    https://doi.org/10.1016/j.comnet.2009.10.005

  • Schlägel C and Wolff B. (2016). Länderspezifische Effekte von Reputation und Information in Internetauktionen. Schmalenbachs Zeitschrift für betriebswirtschaftliche Forschung. 10.1007/BF03373745. 62:S62. (14-41). Online publication date: 1-Jan-2010.

    http://link.springer.com/10.1007/BF03373745

  • Kwan M, Overill R, Chow K, Silomon J, Tse H, Law F and Lai P. (2010). Evaluation of Evidence in Internet Auction Fraud Investigations. Advances in Digital Forensics VI. 10.1007/978-3-642-15506-2_9. (121-132).

    http://link.springer.com/10.1007/978-3-642-15506-2_9

  • Kshetri N. (2010). Institutional and Economic Foundations of Cybercrime Business Models. The Global Cybercrime Industry. 10.1007/978-3-642-11522-6_9. (189-205).

    http://link.springer.com/10.1007/978-3-642-11522-6_9

  • Kshetri N. (2010). Increasing Returns and Externality in Cybercrimes. The Global Cybercrime Industry. 10.1007/978-3-642-11522-6_4. (75-93).

    http://link.springer.com/10.1007/978-3-642-11522-6_4

  • Maranzato R, Neubert M, Pereira A and Lago A. Feature Extraction for Fraud Detection in Electronic Marketplaces. Proceedings of the 2009 Latin American Web Congress (la-web 2009). (185-192).

    https://doi.org/10.1109/LA-WEB.2009.20

  • Dong F, Shatz S and Xu H. (2009). Survey. Computer Science Review. 3:4. (245-258). Online publication date: 1-Nov-2009.

    https://doi.org/10.1016/j.cosrev.2009.09.001

  • Kaszuba T, Turek P, Wierzbicki A and Nielek R. ProtoTrust. Proceedings of the 13th East European conference on Advances in Databases and Information Systems. (137-144).

    https://doi.org/10.1007/978-3-642-12082-4_18

  • Kaszuba T, Hupa A and Wierzbicki A. Comment classification for internet auction platforms. Proceedings of the 13th East European conference on Advances in Databases and Information Systems. (129-136).

    https://doi.org/10.1007/978-3-642-12082-4_17

  • Almendra V and Schwabe D. Fraud Detection by Human Agents. Proceedings of the 10th International Conference on E-Commerce and Web Technologies. (300-311).

    https://doi.org/10.1007/978-3-642-03964-5_28

  • Nielek R, Wawer A and Wierzbicki A. (2009). Spiral of Hatred: Social Effects in Buyer-Seller Cross-Comments Left on Internet Auctions. Trust Management III. 10.1007/978-3-642-02056-8_1. (1-14).

    http://link.springer.com/10.1007/978-3-642-02056-8_1

  • Imamura M and Sato H. (2008). Development of Sensory Tests in Selecting Descriptive Panelists for Evaluating Soy Sauce and Its Related Products. Nippon Shokuhin Kagaku Kogaku Kaishi. 10.3136/nskkk.55.468. 55:10. (468-480).

    http://joi.jlc.jst.go.jp/JST.JSTAGE/nskkk/55.468?from=CrossRef