Search results

The purpose of this paper is to study the effects of multidimensional friendship networks on economic outcomes in the domain of online people-to-people (P2P) lending markets.

The empirical analysis is based on the data set of transactions and friendship networks from PPDai.com market, the most prominent P2P lending market in China. A friendship hierarchy is proposed in this paper to conceptualize friendship network types. Furthermore, methodologies of t-test, logistic regression and ordinary least squares regression are implemented to measure the impact of multidimensional friendship network variables on the probability of successful funding, as well as the interest rates on funded loans.

The study demonstrates significant effects of structural, relational and cognitive friendship networks using PPDai.com data. The results indicate that structural friendship network measured in terms of the number of friendship ties is a significant factor of funding performance. Additionally, borrowers, who are involved in higher-quality friendship networks, are more likely to be funded and pay lower interest rates on funded loans. Also, the deeper the level of the relationship is in the friendship hierarchy, the more significant will be the effect of friendship on the final economic results. Furthermore, quality is more important than quantity in determining funding performance.

This paper is the first to study the effects of multidimensional friendship networks on economic outcome variables in the domain of online P2P lending, thus broadening the theory of multidimensional social capital, which can deepen our understanding about how social networks work and have significant implications practically and theoretically.

In December 2011, the National Computer Network Emergency Response Technical Team/Coordination Center of China reported the most serious user data leak in history which involved 26 databases with 278 million user accounts and passwords. After acquiring the user data from this massive information leak, this study has two major research purposes: the paper aims to reveal similarities and differences of password construction among four companies; and investigate how culture factors shape user password construction in China.

This article analyzed real‐life passwords collected from four companies by comparing the following attributes: password length, password constitution, top 20 frequent passwords, character frequency distributions, string similarity, and password reuse.

Major findings include that: general users in China have a weaker sense of security than those in Western countries, which reflected in the password lengths, the character combinations and the content structures; password constitution preferences are different between users in Western countries and in China, where passwords are more similar to the Pinyin context and Chinese number homonym; and password reuse is very common in China. General users tend to reuse the same passwords and IT professionals tend to engage in Seed Password reuse.

Due to the rapid growth of Internet users and e‐commerce markets in China, many online service providers may not pay enough attention to security issues, but focus instead on market expansion. Employees in these companies may not be well trained in information security, resulting in carelessness when handling security issues.

This is the first study which attempts to consider culture influences in password construction by analyzing real‐life datasets.

As a type of electronic commerce, online C2C markets have experienced a rapid growth in both sales volume and user numbers. Buy‐it‐now (BIN) auction is a mechanism to facilitate online auctions, and is adopted by the major online C2C marketplaces. This study aims to investigate consumers' purchase and adoption of risk relief service in BIN auctions in the online C2C market from the perspective of perceived risk.

A research model is developed based on relevant theory. Data are collected from American and Chinese consumers through a web‐based experiment system that simulates the transaction process on online C2C markets. The proposed hypotheses are tested with logistic and multiple linear regressions.

The results show that buyer's purchase behavior and usage of risk relief service for a transaction in BIN auctions are determined by the perceived risk, which is influenced by the buyer's risk attitude, seller online reputation, and the product price and type.

This study provides an in‐depth understanding of consumers' behaviors on online C2C markets at transaction level, and makes implications for online marketplace operation and business strategy making.

The primary value of this paper lies in providing a better understanding of consumers' behaviors on online C2C market, and investigating the factors that influence the consumers' purchase and adoption of risk relief service in online BIN auctions from the perceived risk perspective.

The purpose of this paper is investigating the value of service guarantee (SG) program in Service e-Commerce (SeC) which is one resolution to promote service transactions. SeC is emerging as a booming form of e-commerce where various services are contracted, managed, sold and even delivered via the Internet. However, the uncertainty of service quality and the heterogeneity of buyer preferences have been major challenges to sustainable development of SeC.

This study uncovered the value of SG in SeC by empirically analyzing the data collected from zhubajie.com, a well-known service e-marketplace in China, to classify the service providers, to indentify the predictors for SG subscription and to study the effects of SG on service providers’ business performance and service quality.

The authors found that the distribution of service provisions is diversified in terms of low-success, mid-success and high-success providers, while proactive or high ability-ranking providers consistently tend to subscribe to SG program. The study revealed that SG has diverse effects on business performance for low-success and mid-success providers. For high-success providers, it seems to not be an effective choice for transaction promotion. Finally, the results showed that SG marginally improved service quality.

This research provides some practical implications for SeC markets to improve SG program. In addition, the results also help service providers to understand the value of SG in depth.

This article extended the research of SG from the traditional offline market to the online market, as with SeC, in which transactions are conducted without face to face contact.

User-generated content (UGC), i.e. the feedback from consumers in the electronic market, including structured and unstructured types, has become increasingly important in improving online businesses. However, the ambiguity and heterogeneity, and even the conflict between the two types of UGC, require a better understanding from the perspective of human cognitive psychology. By using online feedback on hotel services, the purpose of this paper is to explore the effects of satisfaction level, opinion dispersion and cultural context background on the interrelationship between structured and unstructured UGC.

Natural language processing techniques – specifically, topic classification and sentiment analysis on the sentence level – are adopted to retrieve consumer sentiment polarity on five attributes relative to itemized ratings. Canonical correlation analyses are conducted to empirically validate the interplay between structured and unstructured UGC among different populations segmented by the mean-variance approach.

The variety of cognitions displayed by individuals affects the general significant interrelationship between structured and unstructured UGC. Extremely dissatisfied consumers or those with heterogeneous opinions tend to have a closer interconnection, and the interaction between valence and dispersion further strengthens or loosens the relationship. The satisfied or neutral consumers tend to show confounding sentiment signals in relation to the two different UGC. Chinese consumers behave differently from non-Chinese consumers, resulting in a relatively looser interplay.

By identifying consistent opinion providers and promoting more valuable UGC, UGC platforms can raise the quality of information generated. Hotels will then be able to enhance their services through the strategic use of UGC by analyzing reviews with dispersed low-itemized rating and by addressing the differences exhibited by non-Chinese customers. This analytical method can also help to create richly structured sentiment information from unstructured UGC.

This paper investigates the variety of cognitive behaviors in the process when UGC are contributed by online reviewers, focussing on the consistency between structured and unstructured UGC. The study helps researchers understanding emotion recognition and affective computing in social media analytics, which is achieved by exploring the variety of UGC information and its relationship to the contributors’ cognitions. The analytical framework adopted also improves the prior techniques.

This study investigates the determinants of Chief Executive Officer (CEO) cash compensation in relation to corporate governance and performance in China's listed firms. This article also aims at analyzing gender earning differentials among CEOs.

The empirical analysis is based on the panel data set which contains information on the CEOs of 1,701 firm-year observations over the period 2006-2010. A Oaxaca decomposition is also implemented to measure the gap between male and female CEO compensation.

The paper observes that CEO compensation relies more on firm accounting performance than on stock market performance. This relationship is especially evident when accounting performance is measured as the return-on-assets. Dominant shareholders such as the state and block holders have a distinct impact on the use of incentive pay. The presence of a compensation committee in a Chinese listed firm is correlated with an excessive pay package for the Chief Executive Officer (CEO), even though there is evidence that pay-for-performance is more likely in the presence of a compensation committee. Furthermore, this context extends the international body of evidence on CEO compensation by offering a novel accounting of the gender gap in pay among China's listed firms. Examination of the dataset reveals that women represent approximately 6.8 percent of CEOs. In keeping with international norms, female CEOs are more senior and better educated than their male counterparts, yet they receive less favorable compensation. The Oaxaca decomposition shows a larger unexplained part of the pay-gap and suggests that the gender statistically explains a great deal of the gap in pay between male and female CEOs across China's listed firms.

This article contributes to the international corporate governance literature and implications for the design of good corporate governance for China's listed firms. Moreover, this article also highlights the current gender gap among CEOs in compensation.

The purpose of this paper is to develop a conceptual framework, which identifies intrinsic, social and extrinsic gratification factors as essential individual factors influencing users’ disclosure of personal information via mobile instant messaging (MIM) applications (apps). In addition, the author has examined whether gender affects those different factors of gratification.

Data are collected via paper-based survey from university students who use MIM in the United Arab Emirates. Structural equation modeling is used to test the hypotheses that are presented in the model.

The findings show that intrinsic gratifications (entertainment and escapism) and social gratifications (social interaction) have positive effects on the depth and breadth of self-disclosure via MIM apps. Additionally, women’s self-disclosure of personal information is positively affected by social influence, while men are not influenced by this type of gratification.

The study aims to enhance the current understanding of the limited research on the uses and gratifications approach within the context of MIM apps to identify the gratifications that motivate MIM apps users to disclose personal information.