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The impact of ICT and e-commerce on employment in Colombia Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2024-03-08 Manuel Pérez Trujillo, Andrés Aleán–Romero
This study presents new empirical evidence regarding the impact of e-commerce adoption on employment in Colombia, a developing economy. We use firm-level data from the Annual Manufacturing Survey between 2013 and 2018 and differentiate the workforce by skill level and type of contract. We also use multiple correspondence analysis (MCA) to construct a parsimonious set of instrumental variables to account
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Strategic adoption of the recommender system under online retailer competition and consumer search Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2024-03-06 Chi Zhou, Yawen Xu, Yufei Ren, Jing Yu
In the context of the digital economy, online retailers are faced with increasing competition and seek to improve sales and attract consumers through innovations such as recommender systems. This paper investigates the strategies for adopting recommender systems by online retailers, introducing a theoretical model to assess whether both incumbent and new entrant retailers should adopt these systems
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Understanding the influence mechanism of advertising avoidance from an S-O-R perspective: An empirical study based on “Qiafan” videos of Bilibili Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2024-02-28 Bo Yang, Xinrui Zhang, Xusen Cheng, Tong Xue
Bilibili, has given rise to a large number of advertising videos, which users tend to avoid. This study uses Bilibili’s video advertisements as the main research object and builds an advertising avoidance model based on a questionnaire survey guided by the S-O-R model framework. The study finds that perceived consistency plays an important role in advertising avoidance behavior, with perceived usefulness
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The moderating role of e-lifestyle on disclosure intention in mobile banking: A privacy calculus perspective Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2024-02-22 Cho-Hsun Lu
Advancements in information and communication technologies (ICT) have transformed the financial industry into “Fintech” and mobile banking. The COVID-19 pandemic has accelerated the adoption of mobile commerce services, with privacy and security concerns arising among consumers. This study adapted the privacy calculus theory to investigate the factors influencing consumers' willingness to provide personal
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Impacts of blockchain technology on food supply chains with potential food contamination Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2024-02-21 Deqing Ma, Hanqing Qin, Jinsong Hu
Food contamination may have a catastrophic effect on companies, causing a plunge in goodwill. Motivated by the practice that existing voluntary recall strategies still suffer from untimeliness and imprecision, we consider blockchain to provide technical support for food traceability and recall by improving supply chain traceability and transparency. We focus on a two-tier food supply chain facing potential
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Optimal manufacturer strategy for live-stream selling and product quality Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2024-02-14 Xingtang Wang, Xiaohua Han, Yue Chen
With the development of online platforms, live streaming has become an influential option for manufacturers' sales models. Manufacturers can choose to sell their products on their own or through live streaming platforms. Manufacturers' choices are influenced by their customer base choices. Customer groups have different valuations of products and different levels of patience (waiting costs). In this
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Evaluating differential pricing in e-commerce from the perspective of utility Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2024-02-13 Gaoyong Han, Zhiyong Feng, Shizhan Chen, Xiao Xue, Hongyue Wu
Differential pricing in e-commerce has sparked discussions about price discrimination. However, due to the difficulty in measuring consumers’ satisfaction with different prices for the same product, it is hard to quantitatively assess the impact of differential pricing on the interests of merchants and consumers. In this paper, the differential pricing in e-commerce is evaluated from the perspective
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Ensemble learning with dynamic weighting for response modeling in direct marketing Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2024-02-10 Xin Zhang, Yalan Zhou, Zhibin Lin, Yu Wang
Response modeling, a key to successful direct marketing, has become increasingly prevalent in recent years. However, it practically suffers from the difficulty of class imbalance, i.e., the number of responding (target) customers is often much smaller than that of the non-responding customers. This issue would result in a response model that is biased to the majority class, leading to the low prediction
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Determinants of trust and purchase intention in social commerce: Perceived price fairness and trust disposition as moderators Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2024-02-10 Madugoda Gunaratnege Senali, Mohammad Iranmanesh, Morteza Ghobakhloo, Behzad Foroughi, Shahla Asadi, Abderahman Rejeb
The study investigates the determinants of trust in sellers and products and purchase intention in the social commerce (s-commerce) context by considering the moderating effects of trust disposition and perceived price fairness. The data were collected from 416 individuals who have followed at least one seller on Instagram and analysed using the Partial Least Squares (PLS) approach. The findings revealed
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A true friend or frenemy?: Cross-platform effects on online reviews in the sharing economy Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2024-02-08 Hyunhee Woo, Shijin Yoo
This study examines how ride-sharing platforms (e.g., Uber) influence the online reviews of a home-sharing platform (e.g., Airbnb) based on a natural experiment conducted in the city of Austin, Texas, in the United States. A causal relationship between ride-sharing platforms and the valence and helpfulness of online reviews on a home-sharing platform is evaluated through propensity score matching and
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Understanding the failing of social gamification: A perspective of user fatigue Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2024-02-07 Hualong Yang, Le Wang, Zhibin Hu, Dan Li
Social gamification design has been widely used in various industries to enhance user engagement. Although social gamification design can help to shape user behavior to some extent, this design mechanism has significant negative effects on users. Few studies have explored the relationship between social gamification and user fatigue. To fill this research gap, we constructed an empirical research model
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Self-broadcasting or cooperating with streamers? A perspective on live streaming sales of fresh products Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2024-02-02 Delong Jin, Deling Lai, Xujin Pu, Guanghua Han
Recently, live streaming sales have played an important role in promoting the fresh product industry. Producers (e.g., smallholders, cooperatives, family farms) can either directly build their own live rooms or use third-party streamers’ live rooms to sell fresh products, thereby forming two common live streaming sales modes. The former is called as self-broadcasting and the latter is called as streamer
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On the Effects of Information Asymmetry in Digital Currency Trading Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2024-01-26 Kwansoo Kim, Robert J. Kauffman
We report on two studies that examine how social sentiment influences information asymmetry in digital currency markets. We also assess whether cryptocurrency can be an investment vehicle, as opposed to only an instrument for asset speculation. Using a dataset on transactions from an exchange in South Korea and sentiment from Korean social media in 2018, we conducted a study of different trading behavior
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Mitigating the influence of preference-oriented negative electronic word-of-mouth: Investigating the role of consumers’ cognition regarding preference heterogeneity Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2024-01-24 Yan Li, Ruijuan Wu, Shanshan Wang
Negative electronic word-of-mouth (eWOM) occasionally results from mismatches between reviewers’ preferences and product characteristics. In this study, we propose that enhancing consumers’ cognition of preference heterogeneity can overcome the egocentric anchoring in decision-making, thus inhibiting the negative influence of preference-oriented negative eWOM on consumers’ responses. Through four studies
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Cooperation mechanism, product quality, and consumer segment in group buying Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2024-01-20 Yuqing Jiang, Minxin Wu, Xiao hui Li
We analyze the cooperation mechanism in a group buying channel where a supplier sells products to heterogeneous consumers through an organizer. We consider two cooperation mechanisms: traditional wholesale mechanism and commission negotiation mechanism. In particular, suppliers often need to negotiate the commission fee with organizers who promote products in group buying. The organizer faces two types
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Social media or online shopping websites: Will/how platforms influence eWOM effectiveness Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2024-01-19 Yue Ni, Qiqi Cheng
This article investigates how the message topics of electronic word of mouth (eWOM) (feasibility vs. desirability) and platforms with varying psychological distances contribute to the eWOM effect. Within the framework of the construal level theory, we examine the moderating role of the platforms (social media vs. online shopping websites) on the suggested eWOM message → perceived credibility → perceived
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Strategies for online game publishers to counter third-party cheats Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2024-01-18 Jhih-Hua Jhang-Li, I. Robert Chiang
Some players of online games download third-party cheats to gain an unfair advantage, which frustrates regular players and lowers the publisher’s revenue from in-game purchases. The publisher may respond by turning a blind eye, banning suspected accounts, or sequestering suspected players against each other on isolated servers. In this study, we apply the technique of industrial organization to investigate
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Understanding consumer herding behavior in online purchases and its implications for online retailers and marketers Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2024-01-17 Dr. Mazhar Ali, Dr. Huma Amir
Herding behavior refers to the imitation of the behavior of the masses. The primary purpose of this study is to determine how herding affects digital purchases. It is an under-researched area in the marketing and consumer behavior context. First, one needs to understand the circumstances under which one is likely to herd. Second, it is yet to be understood how the effect of observing others' buying
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The role of consumer reviews in e-commerce platform credit supervision: A signaling game model based on complex network Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-12-28 Xiaoxia Xu, Ruguo Fan, Dongxue Wang, Yitong Wang, Yuanyuan Wang
Although fraudulent operations on e-commerce platforms have been repeatedly mentioned, neither its causes nor the complexity among merchants has been systematically established in the literature. Combined with a merchant complex network and game theory, we propose a signaling game model. The model highlights that the pooling equilibrium is why merchants transmit false signals. Imposing the penalty
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Reselling or marketplace channel? A manufacturer’s strategic decisions for differentiated brands considering channel’s service level Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-12-27 Yuan Shi, Lan Huang, Meng Chen, Yiji Cai, Lap-Keung Chu
Brand differentiation is an effective strategy commonly used by large-scale brand manufacturers to produce multiple brands of a particular product type. To avoid undesirable inter-brand competition, a brand manufacturer prefers to adopt multiple online sales channels (OSCs) with different channel’s service levels provided by the online retailer in selling such differentiated brands. Considering both
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Economic recommender systems – a systematic review Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-12-20 Alvise De Biasio, Nicolò Navarin, Dietmar Jannach
Many of today’s online services provide personalized recommendations to their users. Such recommendations are typically designed to serve certain user needs, e.g., to quickly find relevant content in situations of information overload. Correspondingly, the academic literature in the field largely focuses on the value of recommender systems for the end user. In this context, one underlying assumption
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A systematic literature review and bibliometric analysis based on member subscription services in retailing Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-12-15 Jiang Wu, Linxiu Hu, Xiuli He, Xi Zheng
As consumers’ willingness to experience member subscription services has been increasing, merchants are launching membership programs to boost retention and draw in new consumers. Customer Relationship Management (CRM) could be aided by member subscription services, which also have the potential to expand revenue streams through a paid membership system. In this study, we use VOSviewer and four-question
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When and how does decoy effect work? The roles of salience and risk aversion in the consumer decision-making process Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-12-19 Sixuan Chen, Junhong Zhao, Huan Xu, Zhangxiang Zhu
The decoy effect has attracted much attention in the field of marketing and indicates that consumers’ preferences between two options will change after adding a third asymmetrically decoy option. Marketers usually hope for the decoy strategy to help improve a consumer’s preference for a target product. However, both empirical evidence and real-world examples show that the effectiveness of the decoy
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Optimal channel strategy for an e-seller: Whether and when to introduce live streaming? Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-12-13 Zhi Liu, Haoran Chen, Xuemei Zhang, Yuvraj Gajpal, Zhichao Zhang
The introduction of a live-streaming channel presents numerous opportunities for e-sellers, effectively reducing consumer uncertainty and enhancing consumer valuation. Few studies have investigated whether and when an e-seller should introduce a live-streaming channel. To fill this gap, this paper considers two live-streaming channel strategies, where one is the e-seller and another is live streamer
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Feature selection for Turkish Crowdfunding projects with using filtering and wrapping methods Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-12-03 Murat Kilinc, Can Aydin
Crowdfunding (CF) platforms host an increasing number of projects, where financial support from backers plays a vital role in project realization. Unfortunately, CF projects have experienced a downward trend in success rates. To address this issue, it is crucial to identify the factors that influence success by analyzing project characteristics. In our study, we collected project data from Turkey's
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Livestreaming sales strategy considering valuation correlation and influence effect Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-12-08 Shoujie Cai, Sijie Li, Wenli Xiao, Minghao Shen
Livestreaming e-commerce is a new and emerging mode of online shopping that offers various products, interactive communication, and real-time feedback. It poses some challenges for streamers who need to design effective sales strategies that account for correlated consumer valuations of products and influenced valuation of a new product by owned products. In this paper, we analyze the optimal livestreaming
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Two-period pricing of an e-tailer: Is using a top influencer to promote new products a bane or a boon? Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-12-06 Qingli Zhao, Zhi-Ping Fan
With the development of live-streaming sales, using top influencers to promote new products has become one of the mainstream marketing models of e-tailers. The cooperation between the e-tailer and the top influencer is often short-term, during which the top influencer charges a unit commission and a fixed link fee to the e-tailer. Based on this, we consider two top influencer usage strategies, i.e
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Informational cascade, regulatory focus and purchase intention in online flash shopping Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-11-29 Peng Zhu, Chun Miao, Ziwei Wang, Xiaotong Li
Online flash shopping has continued to gained popularity since its emergence. From the perspective of informational cascade, our study explores the psychological processes of consumer purchase decision-making in online flash sales. We investigate how external environment influences user purchase intention, as well as the psychological variables and cognitive aspects involved. Our analysis demonstrates
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Product Customization Schemes and Value Co-Creation with Platform-Driven C2M Model Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-11-30 Bo He, Oznur Ozdemir-Akyildirim, Kaifu Yuan
Taking advantage of the market, e-commerce platforms can help manufacturers produce tailored products to meet customer needs, referred to as the Customer-to-Manufacturer (C2M) model. This paper examines how a manufacturer can collaborate with an e-commerce platform to offer custom products and achieve value co-creation. Implementing the C2M model is not viable when product valuation or consumers’ fit
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The effect of video highlights on the intention to give free virtual gifts Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-11-28 Xinran Dai, Jing Wang
As media technologies and social platforms advance, users increasingly watch online videos. This study applies the video highlight detection method and the elaboration likelihood model (ELM) to examine the influence of online video highlights on users’ intention to give free virtual gifts within social media platforms. We use “coins” placed on videos as a proxy for these gifts. Our research assesses
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Agricultural supply chain financing strategy with social responsibility consideration under platform financing mode Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-11-22 Yun Wang, Yuqing Chen, Song Huang
Farmers are beginning to promote their agricultural products through e-commerce platform marketplaces beyond conventional retail modes. Platform financing based on this new retail model has gained popularity in e-commerce agricultural supply chains. This study investigates strategic decisions in a dual-channel supply chain, where a capital-constrained farmer can receive funds from an e-commerce platform
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Quality effort strategies of video service supply chain considering fans preference and data-driven marketing under derived demand Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-11-23 Peng Xing, Guanyu Jiang, Xiangru Zhao, Mingxing Wang
In the era of “Internet +”, video service as a new cultural industry model has attracted a multitude of attention. Especially under the influence of COVID-19, the importance of video service in people’s daily life becomes more prominent. In this paper, a video service supply chain (VSSC) composed of a video service platform and a video service supplier is researched. The video service supplier provides
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Live streaming selling strategies of online retailers with spillover effects Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-11-23 Zhiwen Li, Dongsheng Liu, Jiankang Zhang, Pei Wang, Xu Guan
This paper investigates online retailers’ optimal strategies in a highly competitive market where they distribute products via regular selling or live streaming selling with spillover effects, and examines the impacts of these strategies on consumer surplus (CS) and social welfare (SW). Using analytical models, we first explore whether and when two competing online retailers to adopt the live streaming
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AI and human broadcasters: Relative impact on consumer engagement in live streaming commerce Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-11-15 Yingjie Xu, Yanya Ruan
Existing research on live streaming commerce has explored consumers’ responses to AI and human broadcasters, respectively. However, it remains unclear whether there are conditional differences in the performance of these two types of broadcasters. This study investigates the relative effectiveness of AI versus human broadcasters in engaging consumers, taking into account consumers’ level of social
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Do atmospheric cues matter in live streaming e-commerce? An eye-tracking investigation Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-11-18 Xinjia Tong, Yuangao Chen, Shasha Zhou, Shuiqing Yang, Hui Jiang
This study developed a stimulus-organism-response (SOR) framework based on the cognitive load theory to investigate the influencing mechanisms of atmospheric cues, such as background visual complexity (BVC) and music tempo (MT), in customers’ live-streaming shopping. To test these hypotheses, a laboratory experiment was conducted using eye tracking. The experiment had a 3 (BVC: high vs. medium vs.
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Customer demand concentration in online grocery retailing: Differences between online and physical store shopping baskets Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-11-17 Satoshi Nakano
The long-tail effect, in which online retailing has a relative advantage in selling less popular products, has been studied extensively with e-commerce growth. However, recent research has raised questions that are more nuanced than originally considered. E-commerce can lead to customer demand concentration under specific conditions such as recommendations of popular products and past-purchase shortcuts
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Forecasting credit default risk with graph attention networks Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-11-13 Binbin Zhou, Jiayun Jin, Hang Zhou, Xuye Zhou, Longxiang Shi, Jianhua Ma, Zengwei Zheng
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Advertising mode of duopoly competitive enterprises based on asymmetric cost efficiency and converter preference Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-11-03 Huini Zhou, Guo Li, Yong Tan
This study focuses on two types of online advertising: mass advertising and targeted advertising. First, models for equilibrium pricing and profit influencing decisions are constructed based on asymmetric cost efficiency and converter preference. Second, game theory is used to analyze two scenarios: competitive enterprises participating simultaneously in both mass advertising and targeted advertising
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Selling mode choice and blockchain adoption in an e-commerce platform with information disclosure Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-11-02 Jinting Huang, Biao Xu, Xiangbin Yan
Many e-commerce platforms, such as Amazon and JD.com, consider product information disclosure as a crucial retail strategy. However, due to potential consumer distrust in the disclosed information, these platforms may employ blockchain technology to validate the information and alleviate consumers’ doubts. This study presents a game-theoretical model to investigate the interaction among the manufacturer’s
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Effects of the green manufacturer’s distribution channel selection on green dilemma: Reselling, direct selling, or agency selling? Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-10-28 Feng Lin, Yongyan Shi, Jingci Xie, Peng Wu, Tong Li
Due to higher effort cost required for green products, the e-retailer may choose the non-green manufacturer for purchasing products, thus creating a green dilemma. Therefore, this paper discusses how the green manufacturer’s distribution channel selection affects the e-retailer’s manufacturer selection and the green dilemma. Specifically, (1) in the reselling mode, this paper defines the input–output
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Disentangling consumers’ negative reactions to impulse buying in the context of in-app purchase: Insights from the affect-behavior-cognition model Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-10-29 Haiping Zhao, Mengli Yu, Shaoxiong Fu, Zhao Cai, Eric T.K. Lim, Chee-Wee Tan
Deciphering how consumers react to impulse purchases is vital for sellers to bolster consumers’ post-purchase experience and induce subsequent purchase behavior. Contextualized to in-app purchases, this study draws on the Affect-Behavior-Cognition (ABC) model to disentangle the relationships among distinct categories of negative post-purchase reactions and the moderating influence of product appeal
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Follow the money: Techniques for pricing rewards in crowdfunding projects Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-10-21 Bar Keisar, Omer Lev
Crowdfunding, the practice of funding projects by appealing to the mass market, has grown in the past decade to become a significant path of raising money for various ventures. It works by offering people the ability to give a certain amount of money for some reward they will receive once the project is done. But while plenty of academic research investigates what makes projects successful, there is
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A graph neural network approach to detect original review spammers of astroturfing campaigns Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-10-13 Kuanchin Chen, Li-Chen Cheng, Mei-Yun Ye, Jenq-Haur Wang
Online reviews affect consumers’ buying decisions. When astroturfing happens, the posted fake reviews not only cause confusion to the consumers, but in extreme cases, harm the reputation of others. Identifying the original posters of fake review in a discussion forum from the interactions with the peers in a collusive effort is essential to an overall detection strategy. However, existing detection
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Neural_BPR: Multi-processing popularity bias mitigating method in recommendation systems Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-10-10 Peng Li, Xinru Zhu, Xinjie Su
E-commerce recommendations address the problem of information overload, but recent research has identified the phenomenon of popularity bias in recommendation mechanisms. This phenomenon tends to homogenise recommendation results, i.e. popular products are widely recommended and non-popular products are under-exposed. The persistent presence of popularity bias in recommendation systems can lead to
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Antecedents of trustworthiness of social commerce platforms: A case of rural communities using multi group SEM & MCDM methods Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-10-10 Sammar Abbas, Alhamzah Alnoor, Teh Sin Yin, Abdullah Mohammed Sadaa, Yousif Raad Muhsen, Khai Wah Khaw, Yuvaraj Ganesan
Business’ ethics have changed the landscape of commerce around the world lately. Legitimacy, robustness, and morality are among the most important factors that build trustworthiness of any platform. Consequently, the Elaboration Likelihood Model and Trust Commitment Theory have become the most relevant frameworks for explaining customers’ behaviour towards the ethics of social commerce platforms. The
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Live streaming channel strategy of an online retailer in a supply chain Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-09-30 Qiuyan Chen, Xin Yan, Yu Zhao, Yiwen Bian
With the increasing development of live streaming selling, it is important for retailers to determine whether and how to introduce such channel. We develop a theoretical model to address these issues by considering three scenarios, i.e., without live streaming channel, with an influencer channel and a third-party channel. Our results show that the retailer will always benefit from adding a live streaming
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The interactions between online platform’s store brand introduction and manufacturer’s innovation strategies: Reselling vs. agency modes Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-09-30 Jingjing Zhao, Yao-Yu Wang, Lifeng Tu, Jian-Cai Wang, Xin (Robert) Luo
Motivated by the prevalent entry of store brands (SBs) and its potential impact on national brands (NBs) in the supply chain, this study develops game-theoretic models to examine the strategic interactions between the platform’s SB introduction strategy and the NB manufacturer’s innovative strategies under both the reselling and agency modes. We find that first, influenced by the manufacturer’s innovation
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Dynamic pricing vs. pre-announced pricing in supply chain with consumer heterogeneity Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-09-22 Jianchao Sheng, Shaofu Du, Tengfei Nie, Yangguang Zhu
Dynamic pricing and pre-announced pricing are prevalent operational strategies in practice. In this paper, we develop a two-period game-theoretical model to investigate the retailer’s pricing strategy choice facing informed and uninformed consumers. Our analysis shows that in the centralized supply chain, when the fraction of uninformed consumers is small and the level of consumer patience is moderate
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Who should adopt blockchain? The interplay between blockchain adoption and online channel under competition Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-09-22 Shuhua Chang, Haiteng Ma, Pengwen Hou, Li Cao
With the frequent occurrence of product quality and product safety problems, traditional supply chain traceability systems have become increasingly untrustworthy to consumers due to their centralization, opacity, and vulnerable to tampering. Blockchain technology, as an emerging information technology, can help to increase consumer trust and resolve these issues. This paper investigates a competitive
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Drivers of the VR technologies user behaviour in e-commerce during the COVID-19 pandemic Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-09-21 Hongfeng Zhu, Yingna Chao
The study aims to develop a qualitative methodology for assessing user behaviour in e-commerce based on VR technologies for practical implementation in web analytics. It is proved that session recording and heatmap technologies improve user interface and website performance, and effective content creation measures increase the number of users’ micro conversions. The survey method was applied to discover
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Concrete or abstract: How chatbot response styles influence customer satisfaction Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-09-19 Yimin Zhu, Jiemin Zhang, Jiaming Liang
Lack of empathy is the key reason why chatbots cannot effectively handle service problems. Empathy consists of affective and cognitive components. Existing studies primarily emphasize empathic concern—the affective component of empathy—to improve the problem-solving performance of chatbots but neglect the cognitive component of empathy, or empathic accuracy. Focusing on empathy’s cognitive component
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Strategic introduction of live-stream selling in a supply chain Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-09-18 Shanshan Wang, Xin Guo
Owing to the rapid development of live-stream e-commerce, firms are selling their products directly to consumers via live-stream (LS), a business practice known as LS selling. This paper analytically studies the introduction of LS selling in a supply chain wherein the manufacturer or the retailer should cooperate with streamers. By developing a game-theoretic model, we explore three possible modes
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An experimental study on re-ranking web shop search results using semantic segmentation of user profiles Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-09-16 Bram Poppink, Flavius Frasincar, Tarmo Robal
Although purchasing online has become increasingly popular, finding suitable products in Web shop environments still requires significant effort from users. This study proposes a method for re-ranking products on a Web shop’s search engine to better match individual user preferences using semantic descriptions in user profiles. Through a live experiment, we demonstrate that the proposed re-ranking
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Optimal livestream selling strategy with buy-online-and-return-in-store Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-09-09 Qingyun Xu, Zhen Shao, Lin Zhang, Yi He
To reduce the adverse impacts of consumer returns, retailers have taken a series of measures to reduce the return rate and improve the consumer purchasing experience. These measures include opening a self-run livestream channel and allowing online consumers to buy-online-and-return-in-store (BORS). In practice, there are remarkable heterogeneities between the two strategies: Some retailers provide
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Spatial CRM and location strategy: E-commerce solutions in the furniture industry. Case of IKEA pick-up points in Poland Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-09-14 Zuzanna Kostecka, Katarzyna Kopczewska
E-commerce in the furniture industry is specific as delivery of heavy and oversized parcels with traditional channels is not feasible. Alternative solutions, aside from stationary shops, include pick-up points which combine e-commerce purchasing with stationary collection. Convenient pick-up locations that support environmental sustainability and offer cost savings is a domain of Spatial Customer Relationship
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The selection of sales channels considering consumer behavior preferences in a co-branding strategy Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-09-14 Deqing Ma, Xiaoqing Wang, Jinsong Hu, Zhicai Li
As a marketing strategy, co-branding has become popular among brand manufacturers in recent years. Unlike previous studies on co-branding, we extend the research from manufacturer-to-manufacturer coopetition strategies to a platform-based supply chain. This paper builds two game theory models involving two manufacturers and one online platform, and divides consumers into Mavericks and Herds, who seek
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Is in-store mobile usage a toxic to customer purchase? A multigroup analysis of customer type Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-08-28 Yang Li, Kai Zhang, Bowen Zheng
When shopping in an omnichannel brand’s physical store, customers increasingly use their mobile devices to search the brand’s online store and its competitors’ online stores. Such in-store mobile usage (IMU) makes omnichannel brands strive to retain these mobile customers’ purchase decisions. Existing research has presented inconclusive findings regarding IMU and customer purchase, which calls for
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The role of chatbots’ human-like characteristics in online shopping Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-08-25 Jindi Fu, Samar Mouakket, Yuan Sun
Despite their importance for online shopping, little is known about what motivates customers to trust and use chatbots. This study fills this gap by investigating factors leading customers to trust chatbots, eventually leading to a willingness to use them. We examined the antecedents of trust from two perspectives: first, the customer perspective, represented by innovativeness and optimism, and second
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Soft computing based e-commerce website service quality index measurement Electronic Commerce Research and Applications (IF 6.0) Pub Date : 2023-08-09 Hakan Şimşek, İrem Güvendiren
It is observed that there is a need for a quality measurement template system that is easy to understand, effective, easily updated according to different requests, contains enough variables, and gives fast results, which can be placed on websites except for general evaluation comments or 5-star rating evaluations after a customer makes a purchase from the online shopping website. For this reason,