Identifying Fraud in Online Auctions: A Case Study

According to the FBI (IC3, 2011), losses as a result of auto‐auction fraud exceeded $8.2 million dollars in 2011. How can one detect deception in online auction transactions? The authors use a comprehensive case to teach students about deception detection processes, detection cues, and the e‐commerce environment. Students are challenged to make a professional judgment about whether the transaction under consideration is an attempt to deceive. The case is based on a real‐life situation and provides a valuable exercise for business students, educating them in the reality of online auction markets and developing their critical thinking skills. The case may be used with undergraduate accounting majors in Accounting Information Systems classes and with graduate students in an e‐commerce course either as an in‐class assignment or as a term project. Students provided favorable responses as to the value of the case.     

投资者与东道国争端解决机制的新发展及其启示

设计投资仲裁机制的初衷是以非政治化方式解决争端,但在实践中往往成为跨国公司挑战东道国政策措施的手段,所以澳大利亚等国目前不再纳入上述条款。可以通过设立上诉机构、常设国际投资法院以及引入调解等替代争端解决方式改革投资仲裁制度。我国也可以借鉴上述做法应用于上海自贸区的争端解决实践。     

Hospitality and Tourism Online Reviews: Recent Trends and Future Directions

In view of the increasing popularity of online reviews and their significant impact on individual buying behavior as well as on the supply side, this study reviewed and analyzed articles related to online reviews in tourism and hospitality published in academic journals between 2004 and 2013. Based on a keyword-driven search and a content analysis, 50 articles were identified as relevant and classified into five topics. The findings revealed that (a) more than half of the analyzed articles focus on hotels and apply empirical methods based on secondary data, (b) more attention has been paid to the relationship between online reviews and online buying as well as satisfaction and online management, and (c) opinion mining of online reviews, motivation to post reviews, and the role of reviews are evenly distributed. This paper also discussed significant topical and methodological trends, contributes to an overall understanding of existing research and its limitation.     

“To Be or Not to Be an Auctioneer?” Some Thoughts on the Legal Nature of Online “eBay” Auctions and the Protection of Consumers

This paper discusses the legal classification of online “eBay” auctions. The discussion has key implications on the scope of consumer protection law as sale by auctions are, for example, excluded from the scope of the Consumer Protection (Distance Selling) Regulations 2000. The paper uncovers that online “eBay” auctions cannot always be considered as traditional auctions and that eBay, as an intermediary, is not to be considered as an auctioneer. This creates difficulties associated with a distributive application of consumer protection laws such as the Consumer Protection (Distance Selling) Regulations 2000. Another set of difficulties is associated with a lenient legal regime applicable to the liability of eBay under the Electronic Commerce (EC Directive) Regulations 2002. The paper concludes that there is an urgent need to clarify the legal classification of online auctions and to rethink the liability of online auction sites to better protect consumers.

Opportunities for active stock-out management in online stores: The impact of the stock-out policy on online stock-out reactions

This paper investigates the impact of an online retailer's stock-out policy on consumers’ category purchase and choice decisions. We investigate three different policies: (1) stock-outs are immediately visible and there are no replacement suggestions, (2) stock-outs are only visible after purchase attempts and (3) stock-outs are immediately visible but a replacement item is suggested. Results from an online grocery shopping experiment reveal that the adopted stock-out policy has a significant impact on both decisions. Making stock-outs not immediately visible creates confusion and intensifies the consumer's loss experience, thereby reducing the tendency to buy in the category. Suggesting a replacement item, in contrast, facilitates the substitution decision and slightly reduces the purchase cancellation rate. It also substantially increases the suggested item's choice probability. Yet, this effect disappears when higher-priced - suspicious - items are suggested. Overall, these results indicate that online grocery retailers have an interest in pursuing open and convenience-oriented stock-out policies.     

Forecasting sales using online review and search engine data: A method based on PCA–DSFOA–BPNN

Traditional sales forecasting methods are mainly based on historical sales data, which result in a certain lag. The relationship between sales volume and its influencing factors is intricate and often non-linear. In view of this, we propose a novel product forecasting method using online reviews and search engine data. Firstly, a dictionary-based sentiment analysis method is developed to convert the textual review concerning each attribute of the product into the corresponding sentiment score. And by combining the prospect theory and relevant online review data, sentiment indices in each period are calculated. Subsequently, data of product-related Baidu search words with different lag orders are collected and screened by time difference correlation analysis. Finally, the forecast model, PCA–DSFOA–BPNN, is constructed by combining the principal component analysis (PCA), the back propagation neural network (BPNN), and the improved fruit fly optimization algorithm (DSFOA), in which sentiment indices, Baidu search data, and historical sales volume are input data. Taking the monthly sales forecast of 14 automobile models as a case study, we observe that the proposed forecast method can effectively improve the forecast accuracy with good robustness.     

Integrating online communities within business-to-business marketing communications: an exploratory study

The article provides a conceptual contribution by developing a framework for business-to-business (B2B) marketers seeking to implement online communities (OLCs). Furthermore, the conceptual contribution is augmented by a small-scale exploratory study comprising in-depth interviews with B2B chief marketing officers (CMOs). The findings challenge existing thinking that B2B marketers can follow generic marketing communication frameworks. This is due to the differences in B2B OLCs in terms of multiple stakeholders and two-way information flows and differences in buyer behaviour. For researchers, the contribution is an embryonic model that will facilitate future conceptual development as well as empirical testing through a series of research propositions. A sequential decision-making framework, which identifies key implementation challenges, is provided for B2B managers.     

See How Much We’ve Sold Already! Effects of Displaying Sales and Stock Level Information on Consumers’ Online Product Choices

Many online retailers make sales and stock level information live available to customers on their websites and offline retailers also increasingly can display this information. Yet it is unclear how consumers perceive such information and how it influences consumer choice. High sales and low stock may both signal popularity and quality, which will stimulate further sales. We however argue that sales level is more diagnostic than stock level as a cue and hence the effect of sales level on consumer choice will be stronger than that of stock level. Also, when both cues are available, the effect of sales level is expected to dominate. In addition, brand familiarity is expected to moderate these effects. These hypotheses are tested in two scenario-based online experiments in which participants choose between competing products for which information about either sales levels, stock levels, or both sales and stock levels is displayed. Results support the hypotheses and also show that sales level is indeed a more diagnostic cue than stock level. Analyses further reveal how perceptions of the popularity and quality of a product mediate the effects of sales and stock levels on consumer choice. The findings imply that retailers can successfully use sales and stock level information to induce quality perceptions and influence consumer choices.     

Employer branding and CSR communication in online recruitment advertising

While multiple studies have discussed the importance of corporate social responsibility (CSR) in recruiting, two important but unaddressed questions constrain the understanding and practice of presenting firms’ socially conscious efforts to their prospective employees. First, are companies engaged in CSR communicating their CSR practices effectively in online recruitment advertising? And second, what CSR information should companies include in online job advertisements to improve their employer attractiveness to prospective candidates? The findings of this study show that CSR communication in recruitment advertising is often limited, an ad-hoc practice, and mostly focused on company practices concerning employee participation and development. Even companies with a great CSR reputation take surprisingly little advantage of their CSR image when it comes to attracting job candidates. To improve employer attractiveness, we recommend that human resources managers consider (1) optimizing the structure of online job advertisements by including a company overview section in which CSR information can be presented easily, (2) expanding the scope of CSR dimensions in job advertisements to include environmental performance and community relations, (3) offering information about opportunities for employee engagement with CSR, and (4) adopting a strategic approach to the inclusion of CSR content in online job advertisements.