Although relevant literature investigates the economic value of online sales channel (OSC) from the perspective of the stock market, knowledge on this topic remains insufficient or unclear because existing studies are conducted under an extremely turbulent market environment and have not considered different aspects. This study aims to examine the topic by focusing on the market reactions to OSC investment

Inappropriate management of information security of e-commerce websites exerts a negative effect on consumers’ purchase decisions because it may cause consumer data leakage. To mitigate this negative effect, some e-commerce firms such as Taobao in China voluntarily offer privacy breach insurance to consumers. Even though this fresh management of information security is becoming popular in practice

In crowdsourcing services, employers often post some complex (or difficult) tasks that individual workers cannot complete independently. In this paper, we investigate that a group of independent workers willingly form a workers coalition by pooling their capacities together to jointly complete a crowdsourcing task, with the goal of being to obtain a reward from an employer. The capacity pooling games

Mobile Social Commerce (MSC) is the present and the future of e-commerce; and a growing topic of research interest. However, despite its numerous current abilities and its prosperous future prospects there has been slightly investigated so far. In order to fill this research gap, this empirical study aims to model and examine the factors that impact individuals’ behavioral intention on adopting MSC

Sustainability in fashion e-commerce has attracted the attention of researchers because of its negative impact on the environment. After the advent of social media, sustainable fashion e-commerce is further challenged by the success of marketing practices and their impact on consumer behaviors. As a result, this study aims to positively affect consumer behaviors using social media texts in sustainable

Search Engine Advertising has been widely adopted by advertisers to target potential consumers. However, the advertisers generally focus on limited popular advertising keywords, leading to fierce competition. Therefore, abundant relevant keywords need to be discovered to reduce the advertising cost. In this regard, this paper proposes a novel semantic transfer approach (named STAKS) to suggesting keyword

Identification of product defects has increasingly received researchers ' attention and assists various stakeholders in effectively removing product defects. This study proposed the robust defective products’ identification framework and examined un-investigated review textual features. An innovative set of discrete emotions, psychological, and linguistic features are proposed. According to literature

In the current study, we examine why peer-to-peer (P2P) lending platforms play only a minor role in the finance industry in Israel, compared to the traditional banking system. We conducted two studies and attempted to discover if a discrepancy exists between the lenders' preferences and the platforms’ incentives. In the first study, we conducted a conjoint analysis to examine the impact of lenders'

The overconfident behavior brings about serious decision biases to the consignment omnichannel, which will invariably lead to false prosperity and poor actual performance eventually. This paper tries to explore the nominal and actual effects and corresponding countermeasures of overconfident behavior issues in a consignment omnichannel through game-theoretical modelling and numerical and sensitivity

This research examines the personality, cognitive and emotional antecedents of deceptive price perceptions that occur in price inequalities. We draw on appraisal theories to examine the extent to which these relationships are different depending on two situations: consumers who are exposed to an advantaged situation (lower price) and those exposed to a disadvantaged situation (higher price). Data from

Few studies have focused on summary descriptions of online product reviews regarding purchase decisions, and there is a gap between individual product reviews and summary descriptions of online product reviews. The current study applied eye-tracking to explore how the product type moderates the framing effect of summary descriptions of product reviews on e-consumers’ purchase decisions. The results

The recommender system’s primary purpose is to estimate the user’s desire and provide a list of items predicted from the appropriate information. Also, context-aware recommendation systems are becoming more and more favorite since they could provide more accurate or personalized recommendation information than traditional recommendation techniques. However, a context-aware recommendation system suffers

With the increasing demand of consumers for diversified network services, more and more network service providers are competing fiercely in providing network composite services in order to meet the market demand. Network composition service is the most basic service. According to certain rules, it synthesizes new services and then realizes new functions. At present, the pricing of service composition

This paper analyzes an emerging rebate mode where a cashback website not only serves as a promotional device in generating more sales for an online retailer, but also makes decisions on its marketing effort autonomously under certain product availability conditions set by the online retailer. Using a game-theoretic approach, this paper analyzes the optimal decision of both parties in commission-driven

Although numerous studies have been conducted to validate the influences of reviews and ratings on the box office, there are still some important unsettled concerns. On one hand, the evaluation of reviews should take into account different aspects of the product. On the other hand, certain movies often cause fierce debates in word-of-mouth marketing, implying that involving variance will provide a

Does intellectual capital positively affect the success of the equity crowdfunding campaigns? This paper answers this question using an original dataset of 191 equity crowdfunding campaigns, gathered from Italian platforms over the period 2014–2018; special attention is dedicated to patents effect, R&D and team’s education level on funding success, as they may serve as signals of unobservable quality

Social media companies such as Facebook, WeChat, and Weibo are trying to profit from paid content shared on social media. This paper studies how the attributes of content distributors influence the intentions of users to pay. An online 2 × 2 between-subject experiment was conducted among Weibo users. Two analyses of covariance (ANCOVA) and structural-equation modeling were employed to test the hypotheses

This study examines the impact of smartphone-based information acquisition on crop yields, net returns, return on investment (ROI), and production costs, using survey data collected from 558 wheat farmers in rural China. We employ a double-robust inverse probability weighted regression adjustment estimator to address the potential selection bias issue. The results reveal that information acquisition

Recent advances in the field of digital technology have enabled the expansion of the business market to a new level. Digital business markets encompass eminent features like increased transparency, enhanced customer relationship, flexible business targets, customer participation, etc. It aids in enhancing traditional business quality by bridging the relationship between the suppliers and the customers

To offer an appropriate recommendation to customers in recommender systems, the issue of clustering and separating users with different tastes from the rest of people is of significant importance. The MkMeans + + algorithm is a technique for clustering and separating users in collaborative filtering systems. This algorithm utilizes a specific procedure for selecting the initial centroids of the clusters

This study aims to characterize the role of flow in online purchasing processes for mass consumption products in online supermarkets. The study uses qualitative and quantitative techniques. The qualitative research involved five in-depth interviews with experts in online supermarkets. The quantitative research involved an online survey. The theoretical model was tested and validated using structural

This study examines the effects of China’s cross-border e-commerce (CBEC) on its goods and services exports to ‘Belt and Road’ (B&R) countries for the period 2000–2018 using a gravity model. We find that CBEC has a greater positive impact on trade in services than on trade in goods, especially after the implementation of the B&R initiative. Furthermore, as the level of CBEC rises, distance tends to

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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,

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

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

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

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

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

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

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