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Linear feedback shift register and integer theory: a state-of-art approach in security issues over e-commerce Electron. Commer. Res. (IF 2.507) Pub Date : 2021-04-10 Anirban Bhowmik, Sunil Karforma
Electronic commerce is the buying and selling of goods and services, or the funds transfer between independent organizations and/or persons over an electronic wireless network, primarily the Internet. It focuses on the use of ICT to enable the external activities and relationship among the business and individuals, groups and other business. These business transactions occur in many formats such as
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A service recommendation approach based on trusted user profiles and an enhanced similarity measure Electron. Commer. Res. (IF 2.507) Pub Date : 2021-04-08 Armielle Noulapeu Ngaffo, Walid El Ayeb, Zièd Choukair
Numerous services issued from the emergence of web technologies drive research on how to provide users with trusted and credible services aligned with their needs. To tackle the service targeting problem, recommender systems have been developed. They are grouped into content-based approaches and collaborative filtering based approaches. Strongly focused on the target user profile, content-based methods
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A reliable location design of unmanned vending machines based on customer satisfaction Electron. Commer. Res. (IF 2.507) Pub Date : 2021-04-07 Mozhu Wang, Jianming Yao
The location problem of unmanned vending machine is challenging due to the variety of customer preferences and random breakdown in service. In this paper, we present an optimization model for reliable location design of unmanned vending machines, with the goal to minimize total costs and maximize customer satisfaction. We solve the problem through a two-stage approach in order to mine customers preference
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Box-office forecasting in Korea using search trend data: a modified generalized Bass diffusion model Electron. Commer. Res. (IF 2.507) Pub Date : 2021-04-02 Daekook Kang
This study aimed to develop a new diffusion model for box-office forecasting by modifying the generalized Bass diffusion model with incorporation of search trend data and historical movie-audience data. To that end, first, movie-audience data (i.e., the number of moviegoers) and NAVER search trend data for each of the top 30 movies released in Korea in 2018 were collected by day. Then, the modified
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Innovative study on clustering center and distance measurement of K-means algorithm: mapreduce efficient parallel algorithm based on user data of JD mall Electron. Commer. Res. (IF 2.507) Pub Date : 2021-03-31 Yang Liu, Xinxin Du, Shuaifeng Ma
The traditional K-means algorithm is very sensitive to the selection of clustering centers and the calculation of distances, so the algorithm easily converges to a locally optimal solution. In addition, the traditional algorithm has slow convergence speed and low clustering accuracy, as well as memory bottleneck problems when processing massive data. Therefore, an improved K-means algorithm is proposed
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Measuring the consumer engagement related to social media: the case of franchising Electron. Commer. Res. (IF 2.507) Pub Date : 2021-03-30 Esther Calderón-Monge, José M. Ramírez-Hurtado
The appearance of social media has fostered consumers chatting with each other, comparing and recommending products and services. In the case of franchising, social media take on a yet greater importance due to brands having to achieve the expansion of their chains selecting new franchisees. The aim of this paper is, on the one hand, to analyze the activity of franchise chains in social media -Facebook
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Rising stars prediction in reviewer network Electron. Commer. Res. (IF 2.507) Pub Date : 2021-03-29 Aftab Nawaz, MSI Malik
The prediction of rising stars is a challenging task in social networks. To this end, publicly available online social databases are considered to retrieve meaningful information for prediction of future trends. According to our knowledge, we are the first to identify the rising stars in review domain by applying machine leaning methods. More specifically, we predict rising reviewers in yelp review
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Crowdfunding as a screener for collective investment Electron. Commer. Res. (IF 2.507) Pub Date : 2021-03-29 Sha Zhou, Tao Ma, Zhengchi Liu
Crowdfunding uses a small amount of money from many people to fund a new venture. It is essentially a collective investment characterized by diversified investors, crowd-based decision-making, and consensus threshold. The sustainability of these markets heavily depends on the screening performance of the crowd. Although empirical studies suggest crowd-based funding decisions can be wise, little is
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20 years of Electronic Commerce Research Electron. Commer. Res. (IF 2.507) Pub Date : 2021-03-29 Satish Kumar, Weng Marc Lim, Nitesh Pandey, J. Christopher Westland
2021 marks the 20th anniversary of the founding of Electronic Commerce Research (ECR). The journal has changed substantially over its life, reflecting the wider changes in the tools and commercial focus of electronic commerce. ECR’s early focus was telecommunications and electronic commerce. After reorganization and new editorship in 2014, that focus expanded to embrace emerging tools, business models
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Estimating user response rate using locality sensitive hashing in search marketing Electron. Commer. Res. (IF 2.507) Pub Date : 2021-03-28 Maryam Almasharawi, Ahmet Bulut
Advertising to search engine users is a primary medium of online advertising. It is the largest source of revenue for search engines. Performance-driven advertising is essential for advertisers and search engines alike. The user response rate in search advertising refers to the observed rate of a desired user action such as click-through or conversion. To estimate the response rate, we built a near-neighbor
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The impact of perceived risks on internet banking adoption in Iran: a longitudinal survey Electron. Commer. Res. (IF 2.507) Pub Date : 2021-03-24 Hamid Reza Khedmatgozar
This paper tried to investigate the trend of changes in severity and the impact of dimensions of perceived risks by customers on their intention to adoption of internet banking (IB) by a longitudinal survey. In order to achieve this goal, based on the perceived risk theory, two surveys were conducted using the same research method in 2009 and 2019 in the Iranian context. The results showed that while
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A knowledge graph approach for recommending patents to companies Electron. Commer. Res. (IF 2.507) Pub Date : 2021-03-22 Weiwei Deng, Jian Ma
Online platforms have emerged to facilitate patent transfer between academia and industry, but a recommendation method that matches patents with company needs is missing in the literature. Previous patent recommendation methods were designed mainly for query-driven patent search contexts, where user needs are given. However, company needs are implicit in the patent transfer context. The problem of
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Exploitative or explorative innovation? An event study of cloud computing business value Electron. Commer. Res. (IF 2.507) Pub Date : 2021-03-21 Zhenghua Li, Nianxin Wang, Shilun Ge
Firms may invest in cloud computing for exploitative or explorative innovation. Exploitative innovation oriented cloud computing investments impact the firms' core business limitedly while the investments for explorative innovation bring the firms both more opportunities and risks such as complex integration with multiple participants. Different enterprises should invest in cloud computing for different
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Optimal advertising for a generalized Vidale–Wolfe response model Electron. Commer. Res. (IF 2.507) Pub Date : 2021-03-20 Yanwu Yang, Baozhu Feng, Joni Salminen, Bernard J. Jansen
In this research, we formulate budget allocation decisions as an optimal control problem using a generalized Vidale–Wolfe model (GVW) as its advertising dynamics under a finite time horizon. One key element of our modeling work is that the proposed optimal budget allocation model (called GVW-OB) takes into account the roles of two useful indexes of the GVW model representing the advertising elasticity
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How Citizen Demand Affects the Process of M-Government Adoption: An Empirical Study in China Electron. Commer. Res. (IF 2.507) Pub Date : 2021-03-17 Yueping Zheng, Liang Ma
Mobile government applications have been increasingly adopted by governments around the world, but their use by targeted clients is lower than expected and under-examined in the literature. We conceptualize citizen adoption of m-government as a dynamic process composed of three interrelated stages—awareness, current use, and future use. However, we suggest that citizen demand will affect them differently
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A comparison between the wholesale model and the agency model with different launch strategies in the book supply chain Electron. Commer. Res. (IF 2.507) Pub Date : 2021-03-15 Hua Ke, Shujun Ye, Yutong Mo
Electronic books’ pricing model and launch strategy are main issues concerned by the members of the book supply chain. Inspired by this fact, this paper establishes analytical models to investigate the publisher’s and the bookstore’s optimal decisions combined with pricing models (the agency model or the wholesale model) and launch strategies (the simultaneous launch strategy or the delaying launch
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The influence of community engagement on seller opportunistic behaviors in e-commerce platform Electron. Commer. Res. (IF 2.507) Pub Date : 2021-03-10 Jiaxin Wang, Shaohan Cai, Qinghong Xie, Lili Chen
Firms using e-commerce as platforms need to develop effective mechanisms to govern seller opportunism. This paper attempts to explore the effect of seller community engagement, as an informal mechanism of network governance, on seller opportunistic behaviors. In particular, we identify two types of the seller community established by the e-commerce platforms, which offers infrastructures supporting
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Intermediation in reward-based crowdfunding: a cash deposit mechanism to reduce moral hazard Electron. Commer. Res. (IF 2.507) Pub Date : 2021-03-10 E. Erjiang, Ming Yu, Geng Peng
A major impediment to crowdfunding is the unobservable actions initiated by an entrepreneur, which generally results in moral hazard. This study aims to demonstrate how an online intermediary, functioning as a crowdfunding platform, can reduce the moral hazard problem by designing a cash deposit mechanism. A model that illustrates the relationship among a crowdfunding platform, an entrepreneur and
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An intelligent trading mechanism based on the group trading strategy portfolio to reduce massive loss by the grouping genetic algorithm Electron. Commer. Res. (IF 2.507) Pub Date : 2021-03-10 Chun-Hao Chen, Yu-Hsuan Chen, Vicente Garcia Diaz, Jerry Chun-Wei Lin
It is always difficult and challenge to obtain suitable trading signals for the desired securities in financial markets. The popular way to deal with it is through the use of trading strategies (TSs) made up of technical or fundamental indicators. Due to the different properties of TSs, an algorithm was proposed to find trading signals by obtaining the group trading strategy portfolio (GTSP), which
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A longitudinal study of e-commerce diversity in Europe Electron. Commer. Res. (IF 2.507) Pub Date : 2021-03-06 Adam Sadowski, Karolina Lewandowska-Gwarda, Renata Pisarek-Bartoszewska, Per Engelseth
Owing to increased access to the Internet and the development of electronic commerce, e-commerce has become a common method of shopping in all countries. The purpose of this study is more precisely to research e-commerce diversity in Europe at the regional level and develop the conception of “E-commerce Supply Chain Management”. Statistical data derived from the European Statistical Office were applied
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A cross-site comparison of online review manipulation using Benford’s law Electron. Commer. Res. (IF 2.507) Pub Date : 2021-02-06 Cheng Zhao, Chong Alex Wang
There is a growing concern that online reviews are targets of systematic manipulation, and manipulated reviews serve purposes other than informing consumers. In this article, we report a cross-site comparison of the aggregate-level manipulation using Benford’s law to detect anomalies. Benford’s law states that digits in naturally occurring data follow a logarithmic distribution. Deviation from such
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26 years left behind: a historical and predictive analysis of electronic business research Electron. Commer. Res. (IF 2.507) Pub Date : 2021-01-20 Tuğçe Ozansoy Çadırcı, Ayşegül Sağkaya Güngör
This article reviews 26 years (1994–2020) of research on electronic business published in reputable journals of the field. The basic aim behind this study is to define the growth potential of electronic business and marketing as a theoretical field and provide insights on past, present, and future scientific production in the field. By using bibliometrics and topic modeling techniques, annual scientific
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E-business adoption costs and strategies for retail micro businesses Electron. Commer. Res. (IF 2.507) Pub Date : 2021-01-19 Marcia Mkansi
E-business benefit both large and small businesses. However, the aggregate cost of successful online trading, including initial and recurring costs, continues to pose a great challenge to micro-enterprises. For these willing businesses, the result is a mere web presence and for some, the thought of trading online is a no-go area. Using a multi-case study qualitative approach, this study adopts the
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Forecasting the nearly unforecastable: why aren’t airline bookings adhering to the prediction algorithm? Electron. Commer. Res. (IF 2.507) Pub Date : 2021-01-13 Saravanan Thirumuruganathan, Soon-gyo Jung, Dianne Ramirez Robillos, Joni Salminen, Bernard J. Jansen
Using 27 million flight bookings for 2 years from a major international airline company, we built a Next Likely Destination model to ascertain customers’ next flight booking. The resulting model achieves an 89% predictive accuracy using historical data. A unique aspect of the model is the incorporation of self-competence, where the model defers when it cannot reasonably make a recommendation. We then
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Should the assembly system with direct omnichannel introduce integrated management service? A game-theoretical modelling study Electron. Commer. Res. (IF 2.507) Pub Date : 2021-01-09 Zhisong Chen, Jianhui Peng
Against the background of omnichannel retailing, this paper tries to explore the incentive conditions/regions of adopting integrated management service (IMS) and the operational strategies/performance for the assembly system with direct omnichannel (AS). Six different game-theoretical decision models, including a centralized, two decentralized and a coordination decision modelssss for the AS, and a
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Study on early warning of E-commerce enterprise financial risk based on deep learning algorithm Electron. Commer. Res. (IF 2.507) Pub Date : 2021-01-07 Yali Cao, Yue Shao, Hongxia Zhang
With the development trend of economic progress, the capital business of e-commerce enterprises has become complicated. The financial risk of listed companies is a problem that needs to be paid attention to. The financial risk of e-commerce companies is a complex and gradual process, and its unique reasons may be many. E-commerce companies are facing financial risks or difficulties, and bankruptcy
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Online sequential bundling: profit analysis and practice Electron. Commer. Res. (IF 2.507) Pub Date : 2021-01-05 Amit Gayer, Avishay Aiche, Eli Gimmon
We investigate monopoly profit under a new online tying strategy, namely sequential bundling. This method allows customers to buy additional products at discounted prices immediately after purchasing one or some of the available products. This strategy has been practiced by Walmart and others but has not been modelled to date. We use microeconomics analysis to conduct a comparison of the gained profit
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The role of cognitive complexity and risk aversion in online herd behavior Electron. Commer. Res. (IF 2.507) Pub Date : 2021-01-04 G. Rejikumar, Aswathy Asokan-Ajitha, Sofi Dinesh, Ajay Jose
This paper investigated the role of information related, social and customer characteristics in public information adoption tendencies of online customers to result in herding in e-commerce. E-commerce platforms contains numerous online reviews about products which have the potential to influence customers. We applied structural equation modeling and a 2 × 2 scenario experiment to empirically verify
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Group interaction and evolution of customer reviews based on opinion dynamics towards product redesign Electron. Commer. Res. (IF 2.507) Pub Date : 2020-11-17 Fan Zou, Yupeng Li, Jiahuan Huang
Perception of customer requirements and intention is crucial for product redesign where customer reviews play a significant role. Customers dynamically make decision and interact with others, which lead to the evolution of customer reviews. A customer reviews evolution model (CREM) is proposed to analyse the dynamic evolution process of group customer reviews by using a modified Deffuant-Weisbuch model
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Exploring side effects of ridesharing services in urban China: role of pollution–averting behavior Electron. Commer. Res. (IF 2.507) Pub Date : 2020-11-17 Wei Chen, Jian Chen, Guopeng Yin
Ridesharing has become popular over the last decade, bringing significant changes to residents’ travel patterns and city traffic. Relevant to the growth and impact of ridesharing activities in populous urban areas are the side effects, such as air pollution and traffic congestion. Despite a number of studies on these side effects, few have focused on their underlying causes and explained the behavioral
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Analyzing ICT-enabled agricultural advisory services in Pakistan: evidence from a marginalized region of Punjab province Electron. Commer. Res. (IF 2.507) Pub Date : 2020-11-13 Nasir Abbas Khan, Qijie Gao, Shoukat Ali, Babar Shahbaz, Palwasha Khan, Muhammad Abid
In Pakistan, due to the asymmetries in farmers’ information access, many ICT-based initiatives have been taken as an alternative to conventional agricultural extension approaches. Recently telecommunication sector of Pakistan has launched farm advisory services for reaching farmers’ information needs. This paper analyzed the telecom sector’s mobile-based farm advisory services (mFAS) by exploring,
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Impact of air quality on online restaurant review comprehensiveness Electron. Commer. Res. (IF 2.507) Pub Date : 2020-11-13 Jiaming Fang, Lixue Hu, Xiangqian Liu, Victor R. Prybutok
Comprehensiveness is one of the most important textual content features of online review and exhibits significant impacts on consumer’s buying decisions. This paper explores the effect of air quality on review comprehensiveness by using a large-scale daily restaurant review dataset. By applying panel data and text mining method, we report an emotion-based underlying mechanism for the link between ambient
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Leveraging consumer behaviors for product recommendation: an approach based on heterogeneous network Electron. Commer. Res. (IF 2.507) Pub Date : 2020-11-13 Weiwei Deng
Consumer behaviors (e.g., clicking products, adding products to favorites, adding products to carts, and purchasing products) play important roles in inferring consumers’ interests for product recommendation. Although studies have been conducted to incorporate the consumer behaviors for product recommendation, the heterogeneity of the behaviors and their composites were seldom explored for product
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Semantic model to extract tips from hotel reviews Electron. Commer. Res. (IF 2.507) Pub Date : 2020-11-13 Shivendra Kumar, C. Ravindranath Chowdary
E-commerce is growing at a swift pace, and the related content on the web is exploding. This is due to the shift of a massive amount of sales and bookings to the online platform. A large number of customers now prefer e-commerce to buy products or online booking for stays. After their transactions, customers post their experiences in the form of text reviews. Further, a new customer usually goes through
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Cross-border e-commerce platform for commodity automatic pricing model based on deep learning Electron. Commer. Res. (IF 2.507) Pub Date : 2020-11-12 Lina Guo
With the innovation of information technology and the rise of the Internet economy, cross-border e-commerce has grown up to be an important means and strategy for enterprises to seek rapid development. This paper proposes a model that fuses CNN (Convolutional Neural Network) and attention mechanism to encode image features, and selects the image features of commodities. A 5-layer CNN without a fully
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What motivates consumer to engage in microblogs? The roles of brand post characteristics and brand prestige Electron. Commer. Res. (IF 2.507) Pub Date : 2020-10-29 Xiumin Chu, Yezheng Liu, Xiayu Chen, Zhengping Ding, Shouzheng Tao
Microblogs have gained concerns from both academics and practitioners owing to their great potential for communication and diffusion. Brand managers can release posts containing photo, video, and hashtags besides a short text on microblog platforms. This study concentrates on the influence of explicit characteristics in brand post (i.e., photo, video, hashtags, and brand personality traits) on consumer
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Thesaurus matching in electronic commerce Electron. Commer. Res. (IF 2.507) Pub Date : 2020-10-29 Thomas Cerqueus, Jonathan Bonnaud, Oleksandr Dashkov, Emmanuel Morin
This paper tackles the problem of e-commerce thesauri alignment. It includes the definition of three alignment techniques which can be combined to increase the effectiveness and reduce the execution time. It also introduces a filtering technique to reduce the number of candidates returned to the final user. This work reports a set of evaluations that were lead with real-world data. Results show that
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Prediction on transaction amounts of China’s CBEC with improved GM (1, 1) models based on the principle of new information priority Electron. Commer. Res. (IF 2.507) Pub Date : 2020-10-28 Chuanmin Mi, Yijing Wang, Lin Xiao
Benefited by e-commerce activities and information technology development, cross-border e-commerce (CBEC) has experienced rapid growth and attracted much research attention. This study takes China’s CBEC as a typical research object and intends to forecast its future development trend based on an exploration of its dynamic changing rules as a whole. The data set of transaction amounts of China’s CBEC
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Who purchases cross-border? Individual and country level determinants of the decision to purchase cross-border in the European Single Market Electron. Commer. Res. (IF 2.507) Pub Date : 2020-10-27 Leo Sleuwaegen, Peter M. Smith
E-commerce possesses considerable potential for developing the internationalisation and integration of consumer markets by bringing sellers and consumers from different countries directly into contact with each other without the requirement for intermediaries. However, cross-border online purchases remain low compared to domestic online purchases. Large differences between individual countries are
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Understanding Inconsistent Corruption Control through E-government Participation: Updated Evidence from a Cross-Country Investigation Electron. Commer. Res. (IF 2.507) Pub Date : 2020-10-27 Lihua Wang, Xin(Robert) Luo, M. Peter Jurkat
Based on data from 133 countries, this paper unveils and empirically proves a nonlinear relationship between e-participation and corruption control and further examines the moderating roles of voice and accountability and ICT infrastructure. The empirical analysis suggests that (1) e-participation has a curvilinear (U-shaped) relationship with corruption control; (2) voice and accountability negatively
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A default penalty model based on C2VP2C mode for internet financial platforms in Chinese market Electron. Commer. Res. (IF 2.507) Pub Date : 2020-10-23 Sulin Pang, Huili Xian, Rongzhou Li
The present study proposes a novel customer-to-virtual-product-to-customer (C2VP2C) mode of a loan default penalty model for Internet financial platforms (IFPs) in the Chinese market. The C2VP2C mode is developed based on the traditional peer-to-peer (P2P) business model and introduces IFP virtual products to risk control and loan matching. A loan default penalty model and a punishment mechanism of
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Supply and demand matching model of P2P sharing accommodation platforms considering fairness Electron. Commer. Res. (IF 2.507) Pub Date : 2020-10-23 Li Xiong, Chengwen Wang, Zhaoran Xu
Due to the continuous expansion of sharing economy, the diversification of users and the heterogeneity of resources and needs on P2P platform are speeding up, which makes it difficult to match the supply and demand of P2P platform effectively. Therefore, how to achieve effective matching between service providers and customers in an increasingly complex market is a question worthy of study. In order
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Pricing and personal data collection strategies of online platforms in the face of privacy concerns Electron. Commer. Res. (IF 2.507) Pub Date : 2020-09-11 Yongrui Duan, Yao Ge, Yixuan Feng
We consider a platform providing free content for users and earning profit from the sale of advertising. The platform can collect and analyze personal data to customize advertisements for individual users. Customization may alleviate users’ aversion to advertising, but it may also raise privacy concerns. Considering the platform as a two-sided market with asymmetric externalities, we investigate the
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The effect of product distance on the eWOM in recommendation network Electron. Commer. Res. (IF 2.507) Pub Date : 2020-08-08 Xue Pan, Lei Hou, Kecheng Liu
The online product recommendation networks (PRNs), connecting similar products with hyperlinks, have been widely implemented in user-generated content websites and ecommerce systems. With the PRNs as the virtual shelves, this paper explores the impact of the distance between products on the formation of product electronic Word-of-Mouth (eWOM). Employing an empirical book recommendation network of Amazon
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Analysis of the efficiency of electronic reverse auction settings: big data evidence Electron. Commer. Res. (IF 2.507) Pub Date : 2020-08-06 Radovan Dráb, Tomáš Štofa, Radoslav Delina
Despite the existence of research in the field of electronic reverse auctions (eRAs), there is still a limited understanding of the determinants of auction savings that exist in this process, especially factors that can change information asymmetry during auctions. In comparison with other studies, attempts have been made to test the effects of various levels of information asymmetry through the prolongation
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A combined AHP–TOPSIS–DEMATEL approach for evaluating success factors of e-service quality: an experience from Indian banking industry Electron. Commer. Res. (IF 2.507) Pub Date : 2020-08-01 Vivek Agrawal, Nitin Seth, Jitendra Kumar Dixit
In today’s hyper competitive world successfully managing the service quality for e-transaction is very important for the success of banks. Researchers in past have advocated on the importance and relations of measurement and monitoring of e-service quality with profitability and competitiveness, but very few researchers have attempted to explore the area of e-service quality in banks. It is necessary
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The business analysis on the home-bias of E-commerce consumer behavior Electron. Commer. Res. (IF 2.507) Pub Date : 2020-08-01 Wei-Lun Huang, Peng Hu, Sophia Tsai, Xi-Ding Chen
This paper discusses consumer behavior in Taiwan to both domestic and cross-border E-commerce service providers based on the literature review and field research, conducting the empirical analysis through the survey. The results are 1. Taiwan consumers have had much of online shopping experience from domestic and cross-border E-commerce service providers. 2. The individual variables of customer would
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A comparative study of online consumer reviews of Apple iPhone across Amazon, Twitter and MouthShut platforms Electron. Commer. Res. (IF 2.507) Pub Date : 2020-07-18 Supratim Kundu, Swapnajit Chakraborti
The purpose of the paper is to understand if the online consumer reviews differ across the review platforms over the internet. We aim to find the features of the reviews from various platforms and ultimately create a typology of the reviews for those platforms. We apply mixed methods including both quantitative and qualitative techniques to arrive at the conclusion. We find consumers share their views
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An extended Bass Model on consumer quantity of B2C commerce platforms Electron. Commer. Res. (IF 2.507) Pub Date : 2020-07-17 Xiaoyu Li, Jiahong Yuan, Yan Shi, Tianteng Wang, Xiangpei Hu, Felix Tung Sun Chan, Junhu Ruan
For B2C (Business to Customer) commerce platforms, quickly attracting enough consumers is an extremely important issue. However, existing studies mainly analyze whether consumers make online purchase and its influencing factors, but pay less attention to the changes in consumer size. Therefore, this paper aims to study the changing law of consumer quantity from the macro level, which may help E-commerce
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Monopoly or competition: strategic analysis of a retailing technology service provision Electron. Commer. Res. (IF 2.507) Pub Date : 2020-07-10 Fengying Hu, Zhenglong Zhou
To improve the consumer shopping experience and to remain competitive, an increasing number of retailers continue to increase their investment in technology services and actively seek help from technology service providers to transform and upgrade their retail business. Technology service providers deliver new technological solutions for retailers by providing professional retailing technology services
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An analysis on the policy evolution of cross-border ecommerce industry in China from the perspective of sustainability Electron. Commer. Res. (IF 2.507) Pub Date : 2020-07-08 Liang Xiao, Yanan Zhang
The rapid development of China’s cross-border e-commerce has largely benefited from the support of industrial policies. This paper adopts social network analysis and content analysis, builds an analytical framework from the four dimensions: policy time, policy document type, text subject, and content theme. We conduct a quantitative analysis of 81 cross-border e-commerce industry policy texts from
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Will the community O2O service supply channel benefit the elderly healthcare service supply chain? Electron. Commer. Res. (IF 2.507) Pub Date : 2020-06-27 Jun Zhao
This paper studies the coordination of the elderly healthcare service supply chain (EHSSC) within a dual-channel setting. A game-theoretic framework is introduced to analyse how best the elderly service integrator (ESI) and elderly service provider (ESP) would make decisions and interact amidst cooperation and competition. Three cases including the centralised case, the Bertrand game case and the Stackelberg
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Estimating city-level poverty rate based on e-commerce data with machine learning Electron. Commer. Res. (IF 2.507) Pub Date : 2020-06-18 Dedy Rahman Wijaya, Ni Luh Putu Satyaning Pradnya Paramita, Ana Uluwiyah, Muhammad Rheza, Annisa Zahara, Dwi Rani Puspita
There are many big data sources in Indonesia, for example, data from social media, financial transactions, transportation, call detail records, and e-commerce. These types of data have been considered as potential resources to complement periodic surveys and censuses to monitor development indicators such as poverty levels. Data from e-commerce in particular could potentially represent the real expenditure
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A comparative analysis of personal data protection regulations between the EU and China Electron. Commer. Res. (IF 2.507) Pub Date : 2020-06-16 Philip Andreas Weber, Nan Zhang, Haiming Wu
The growth of e-commerce and other platforms has significantly increased the amount of personal data that is shared and submitted online; however, the adequate and secure collection and processing of these data is of great concern. With the EU’s implementation of a new data protection regulation in 2018, the development of personal data protection globally has reached an important turning point and
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Examining the role of the marketing activity and eWOM in the movie diffusion: the decomposition perspective Electron. Commer. Res. (IF 2.507) Pub Date : 2020-06-11 Hailin Zhang, Xina Yuan, Tae Ho Song
Advertising as a direct marketing activity as well as word-of-mouth (WOM) as an indirect marketing activity are widely accepted as the most influential determinants of new product performance. Although electronic WOM (eWOM), as a type of WOM, has recently been studied extensively in various industries, previous results appear mixed due to their characteristics such as volume and valence. To bridge
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Dissecting click farming on the Taobao platform in China via PU learning and weighted logistic regression Electron. Commer. Res. (IF 2.507) Pub Date : 2020-06-02 Cuixia Jiang, Jun Zhu, Qifa Xu
Click farming has become a common phenomenon, which brings great harm to the online shopping platform and consumers. To identify click farming on the Taobao platform, the largest online shopping platform in China, we use the positive-unlabeled learning method to find reliable negative instances from the unlabeled set and output the identification of click farming with probability rank for all shops
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The impact of online video highlights on TV audience ratings Electron. Commer. Res. (IF 2.507) Pub Date : 2020-05-28 Giwoong Bae, Hye-jin Kim
Short video excerpts from TV shows are a tool that producers/broadcasters use to promote their programs. This study examines how video highlights that are presented online for free viewing, which can be analogous to product samples for entertainment goods, affect TV audience ratings. We investigate whether a displacement effect exists, i.e., the substitution of goods due to the availability of other
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Understanding customer regional differences from online opinions: a hierarchical Bayesian approach Electron. Commer. Res. (IF 2.507) Pub Date : 2020-05-28 Kejia Chen, Jian Jin, Zheng Zhao, Ping Ji
A large volume of customer reviews is generated from time to time and customer requirements are presented between lines of online opinions. Many studies about online opinions mainly focus on the extraction of customer sentiment, but practical concerns regarding the integration into new product design are far from extensively discussed. To enlighten designers about how consumers differ geographically
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Analyzing Bitcoin transaction fees using a queueing game model Electron. Commer. Res. (IF 2.507) Pub Date : 2020-05-27 Juanjuan Li, Yong Yuan, Fei-Yue Wang
In the Bitcoin system, large numbers of miners invest massive computing resources in the blockchain mining process in pursuit of Bitcoin rewards, which are comprised of a fixed amount of system-generated new block reward and a variable amount of user-submitted transaction fees. Here, transaction fees serve as the important tuner for the Bitcoin system to define the priorities in users’ transaction
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Effect of other visible reviews’ votes and personality on review helpfulness evaluation: an event-related potentials study Electron. Commer. Res. (IF 2.507) Pub Date : 2020-05-21 Liyi Zhang, Daomeng Guo, Xuan Wen, Yiran Li
Few studies have investigated the mechanism underlying the connection between votes and review helpfulness. A within-subject experiment with a between-group factor of personality traits was adopted to measure participants’ neural response in the processing of votes regarding review helpfulness. The results showed that a larger feedback-related negativity (FRN) and smaller P300 were induced when their
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