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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

It has become a popular research topic how data on Internet queries are used to make reliable predictions about changes in the marketplace. In this study we analyze the relationship between the online search volume of IPO or initial public offering stocks and their post-IPO stock returns. We obtain the online search data sets of the NAVER, one of the largest online search services in Korea, and the

Logistics services and product prices are two factors that influence consumers’ buying behavior. In recent years, research on decision and coordination of competing supply chains has attracted growing attention. However, the research of competing supply chains with substitutable products under logistics services and product prices has not been studied in the literature. We consider four decision variables

Web assurance seals are actions taken by e-commerce vendors to increase their trustworthiness and alleviate consumers’ concerns. In their essence, web assurance seals are a product of negotiations, adoptions, and settlements among various groups of interests (e.g., seal authorities, vendors, consumers, or governmental institutions). However, previous research has hitherto used a unilateral research

The review of online products or services is becoming a major factor in the user’s purchasing decisions. The popularity and influence of online reviews attract spammers who intend to elevate their products or services by writing positive reviews for them and lowering the business of others by writing negative reviews. Traditionally, the spam review identification task is seen as a two-class classification

In recent years, the rapid development of e-commerce has brought great convenience to people. Compared with traditional business environment, e-commerce is more dynamic and complex, which brings many challenges. Data mining technology can help people better deal with these challenges. Traditional data mining technology cannot effectively use the massive data in the electricity supplier, it relies on

With the advent of Internet big data era, recommendation system has become a hot research topic of information selection. This paper studies the application of deep learning and distributed expression technology in e-commerce product advertising recommendation. In this paper, firstly, from the semantic level of advertising, we build a similarity network based on the theme distribution of advertising

With the popularity of the sharing economy, ride-hailing services have greatly affected people’s travel and become a new travel mode for urban residents. However, the lack of effective industry regulation has resulted in serious operational problems and growing difficulties in the furthering development of ride-hailing services in China. Therefore, it is necessary to study the regulation strategies

This study offers a systematic review of academic research on platforms in management, business and economics. By using two visualization tools named VOSviewer and CiteSpace, we analyzed 619 articles on platform research with associated 23,093 references from the Web of Science database. We have discerned the most impact publications, authors, journals, institutions and countries in the platform research

In knowledge-intensive crowdsourcing (KI-C), estimating proper participants is an important way to ensure tasks crowdsourcing outcomes. Participants’ attributes (PAs) act as the main decision factors which are viewed as criteria for evaluating and estimating potential participants. Actually, multiple interdependent PAs have effect on participant estimation. It is an initial and vital work in estimating

Online apparel industry is suffering from a major issue of return, with a high rate of return for apparels that are sold online it becomes necessary to investigate the probable reasons of return in online apparel industry. The objective of the study is to develop a multi-criterion approach for evaluation of various factors that are responsible for the return of apparels purchased online in context

The impact of place-of-origin on price premium for agricultural products in the online marketplace has received limited attention in the existing literature. This study draws from the elaboration likelihood model and investigates whether place-of-origin affects price premium. Moreover, this study explores how other cues [seller’s reputation, positive word-of-mouth (WOM) volume, and WOM valence] moderate

The emergence of cross-border e-commerce has brought new opportunities to traditional enterprises. This paper discusses the partner selection of cross-border e-commerce companies in the B2B mode. It constructs a theoretical model of partner selection of cross-border e-commerce enterprises based on literature review. Through the mathematical analysis of an asymmetric evolutionary game model, it is considered

Customer recognition provides an opportunity to the customers to think about services in service companies. Classifying customers into different categories based on their satisfaction helps these insurance companies to better manage their capital that results in more profit. Researchers have used different categorization methods to identify and classify customers based on their level of satisfaction

Electronic coupon (e-coupon) is one of the most important marketing tools in B2C e-commerce. To improve the e-coupon redemption rate and reduce marketing costs, it is crucial to retarget customers who have received e-coupons and have higher propensity to redeem their coupons. Using log data and transactional data to extract the features of past purchase behavior, past coupon redemption behavior and

User-generated content (UGC) is influential in reducing customer perceived risk and determining online store sales. E-sellers spend huge costs and efforts to improve UGC for it serves as a convenient and persuasive alternative for marketing and advertising purposes. Considering that consumers may set lower and/or upper limits (i.e., psychological thresholds) in which the good is expected to be, and

Based on daily data of 749 active online P2P lending platforms in Chinese market, this study explores the key factors affecting the net cash inflow rate of the platform which is vital for its operation and survival from the perspective of reputation, structure design and FinTech ecosystem. Internal governance issues of P2P lending platforms are further discussed according to the model results. A positive

A salient characteristic of the current digital economy is the prevalence of digital products. It may be largely attributed to the rapid growth of digital media which grant users tremendous control over various digital content. However, a number of studies in consumer psychology reported that digital products may lead to reduced perceptions of control as the virtual format inhibits sense of ownership

Along with the quick development of e-commerce, different payment schemes are provided to online consumers to improve their shopping experience. Currently, the payment schemes can be divided into two categories, one is pay-to-order, and the other is pay-on-delivery. Payment scheme directly affects consumers’ behavior and e-tailer’s pricing decision in e-commerce. In this paper, we characterize the

Due to the popularization of the Internet in rural China, mobile Internet use has become an essential part of rural residents’ lives and work. No studies, however, have investigated the potential effect of smartphone use on quality of life among rural residents in China. This study thus applies ordinary least squared, conditional quantile and instrumental variable techniques to survey data for 493

Word of Mouth (WOM) is powerful, and online reviews are often the most accessible WOM information source in electronic commerce. Maintaining favorable online reputation has been the top priority for businesses, and investments in improving online review valence have been increasing. Extensive studies explored how online reviews might influence sales, however, the results have been inconsistent. This

Automated community detection is an important problem in the study of complex networks. The idea of community detection is closely related to the concept of data clustering in pattern recognition. Data clustering refers to the task of grouping similar objects and segregating dissimilar objects. The community detection problem can be thought of as finding groups of densely interconnected nodes with

Social networking sites (SNSs) have become a vital medium for companies to place advertisements and setting an objective of advertisements on SNSs is an important issue of planning a business’s market strategy. The purpose of this work is to develop a fuzzy technique for order preference by similarity to an ideal solution (TOPSIS) method for evaluating and selecting objectives of advertisements on

Competitive analysis has long been recognized as the cornerstones of firm’s strategic management and business activities. With the advent of the multi-channel clickstream, this paper studies the competitive market structure by developing a novel generative model. We first aggregate the multi-channel clickstream data to construct a consideration set for each user. Then, a novel sparse influence topic