Article
Management
Lingli Luo, Xufei Ma, Zeyu Wang
Summary: This study examines the nonlinear relationship between online reputation and firm survival, and identifies the existence of a moderate-reputation trap. It also finds that online firms can mitigate this trap through product strategies.
ASIA PACIFIC JOURNAL OF MANAGEMENT
(2022)
Article
Economics
Aizhi Yu, Jingsheng Cao, Huiling She, Jian Li
Summary: The rise of e-commerce is transforming agri-food marketing, providing smallholder farmers with unprecedented market access. This study investigates the empowering dynamics and mechanisms of e-commerce in smallholder livestock marketing, especially regarding price premiums. The information display mechanism and reputation incentive mechanism are identified as two key pathways that stimulate smallholder livestock sales on online platforms.
ECONOMIC ANALYSIS AND POLICY
(2023)
Article
Chemistry, Multidisciplinary
Yuanyuan Xiao, Chuangming Zhou, Xinpeng Guo, Yafei Song, Chen Chen
Summary: This paper proposes a blockchain-based decentralized e-commerce transaction system to solve the issues of high storage cost and low processing efficiency in centralized systems. By storing commodity information in the Interplanetary File System and commodity addresses in the blockchain, the system's service performance is enhanced. Additionally, the reputation evaluation model based on multi-criteria decision making and the incentive mechanism based on reputation value effectively resist unfair evaluation and collusion attacks, promoting the smooth operation of the system.
APPLIED SCIENCES-BASEL
(2022)
Article
Information Science & Library Science
Marios Kokkodis
Summary: Reputation systems in digital workplaces increase transaction efficiency by building trust and reducing information asymmetry, but they do not yet fully capture the dynamic multidimensional nature of online work.
INFORMATION SYSTEMS RESEARCH
(2021)
Article
Computer Science, Artificial Intelligence
Yuan Liu, Xin Zhou, Han Yu
Summary: The study proposes a seller reputation model based on buyer repurchase and return behavior in e-commerce to address reputation distortion due to collusion. The model achieves a pure strategy Nash equilibrium between buyers and sellers by considering honest transactions based on post-purchase behaviors.
KNOWLEDGE-BASED SYSTEMS
(2021)
Review
Business
Ran Liu, John B. Ford, Weiyong Zhang, Joseph Bonnici
Summary: This study examines the influence of review valence on consumers' perceived relationship with a firm and identifies the causes and underlying process of such influence. Using social exchange theory and signal theory as a basis, the authors find that conflict plays a critical role in connecting review valence and consumers' perceived relational benefits and trust. The authors conduct three experimental studies using Qualtrics survey data to explore how review valence indirectly affects consumers' perceived trust and benefits. The results indicate that conflict moderates the relationship between review valence and perceived benefits and trust, and the strength of this indirect effect varies depending on the perceived partner's commitment to the relationship. These findings contribute to the theoretical implications of relationship marketing in online contexts and have practical implications for online marketing strategies.
JOURNAL OF BUSINESS RESEARCH
(2023)
Article
Computer Science, Information Systems
You Sun, Rui Xue, Rui Zhang, Qianqian Su, Sheng Gao
Summary: Blockchain technology enables secure online transactions without trusted central parties, and a well-designed consensus mechanism is crucial for efficiency and security. RTChain introduces a reputation system into e-commerce blockchain, influencing behavior and enhancing efficiency, with a throughput of 4,000TPS. Consensus mechanism is secure and resistant to attacks, making it promising for deployment.
ACM TRANSACTIONS ON INTERNET TECHNOLOGY
(2021)
Review
Computer Science, Artificial Intelligence
Jiwei Luo, Jian Luo, Guofang Nan, Dahui Li
Summary: Online consumer reviews are crucial for consumers to assess the quality and authenticity of products on e-commerce platforms. However, the problem of fake reviews has greatly impacted the operation and development of these platforms. In this study, a novel supervised probabilistic method is proposed to detect fake reviews by utilizing the difference in distribution between non-fraudulent and fake reviews. Experimental results show that this method outperforms existing sampling models and detection methods in terms of classification accuracy.
DECISION SUPPORT SYSTEMS
(2023)
Article
Computer Science, Theory & Methods
Zhili Zhou, Meimin Wang, Ching-Nung Yang, Zhangjie Fu, Xingming Sun, Q. M. Jonathan Wu
Summary: This study proposes a blockchain-based decentralized reputation system (BC-DRS) to address the issue of reputation scores in E-commerce. By storing product information and user reputation scores on IPFS and blockchain, it can effectively prevent data modification and fraud, improving the fairness of evaluations.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Article
Computer Science, Artificial Intelligence
David Robert Stockli, Hamid Khobzi
Summary: This study examines the association between product networks generated by recommendation systems and product ratings' convergence, revealing that a network connection via a substitute recommender system leads to ratings convergence, while a connection via a complementary recommender system leads to ratings divergence.
DECISION SUPPORT SYSTEMS
(2021)
Article
Computer Science, Interdisciplinary Applications
Yue Wang, Daniel Y. Mo, Hoi Lam Ma
Summary: This study investigates several factors related to customers' perception of time during the online product customization process, such as customers' tendency to overestimate time on short tasks and underestimate time on long tasks, the correlation between time perception and satisfaction with both products and process, and the impact of customization task difficulty and information processing motivation on time perception. The study contributes to the field of product customization by incorporating time perception into customer satisfaction measurement and identifying significant relationships among time perception, task selection ease, information processing motivation, and satisfaction with customized products.
INDUSTRIAL MANAGEMENT & DATA SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Chen Gao, Tzu-Heng Lin, Nian Li, Depeng Jin, Yong Li
Summary: Social e-commerce is a new concept that utilizes social media as a prevalent platform for online shopping. This paper addresses the problem of cross-platform recommendation for social e-commerce, proposing a recommendation framework called CROSS that considers both user-item interaction data and social relation data. Experimental results on two real-world social e-commerce datasets demonstrate that CROSS significantly outperforms existing state-of-the-art methods.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Computer Science, Information Systems
Zike Cao, Junhong Chu, Kai-Lung Hui, Hong Xu
Summary: The study found that while referral marketing can increase sales in e-commerce platforms, its effectiveness is weakened by price promotions, which may raise quality concerns and undermine the credibility of online referrals. Therefore, marketing managers should carefully consider the combination of online referral marketing and price promotions based on the brand's persuasiveness and promotional channels.
JOURNAL OF MANAGEMENT INFORMATION SYSTEMS
(2021)
Article
Business
Minglun Ren, Jiqiong Liu, Shuai Feng, Aifeng Yang
Summary: With the rise of e-commerce, online shopping has become more common, leading to issues with returns. This paper examines pricing, return policies, and return insurance strategies, concluding that online retailers should offer a money-back guarantee (MBG) return policy when a product's net residual value is greater than or equal to zero, and insurance providers should remain neutral.
JOURNAL OF RETAILING AND CONSUMER SERVICES
(2021)
Article
Medicine, General & Internal
Rachel R. Ouellette, Sophia Selino, Grace Kong
Summary: This qualitative study analyzed online videos to explore the use, modification, and marketing of electronic nicotine delivery systems (ENDS) for cannabis vaping. The study found a high frequency of videos discussing health benefits, purchasing links, and inadequate age restrictions. Exposure to such content on social media platforms may increase the risk of cannabis vaping among youth. The use of the same devices for multiple substances may complicate the regulation of ENDS by the US Food and Drug Administration.
Article
Computer Science, Artificial Intelligence
Ling Liu, Jing Wu, Ping Li, Qing Li
EXPERT SYSTEMS WITH APPLICATIONS
(2015)
Article
Computer Science, Information Systems
Qing Li, Jun Wang, Feng Wang, Ping Li, Ling Liu, Yuanzhu Chen
MULTIMEDIA TOOLS AND APPLICATIONS
(2017)
Article
Computer Science, Information Systems
Qing Li, TieJun Wang, Ping Li, Ling Liu, Qixu Gong, Yuanzhu Chen
INFORMATION SCIENCES
(2014)
Article
Business
Jing Wu, He Li, Ling Liu, Haichao Zheng
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS
(2017)
