Assessing the e-Service Quality of Sellers in an Industrial e-Marketplace

Existing studies of electronic service quality (e-SQ) mainly deal with online shopping mall operators in business-to-consumer (B2C) markets, whereas research into the e-SQ of sellers in industrial electronic marketplaces (e-marketplaces), characterized by multiple sellers and multiple customers, is lacking. Therefore, this study intends to determine if existing theories developed and tested in the B2C online shopping mall context are directly applicable to measure e-SQ of industrial e-marketplace sellers. By qualitatively analyzing customer feedback obtained in an e-marketplace, this study offers an in-depth exploration of e-SQ dimensions, discovers a tentative causal model of the e-SQ specific to industrial e-marketplace sellers, and compares the tentative model grounded in the qualitative data with existing research tested with quantitative data. This study shows that existing e-SQ scales may not apply, without revision, to measures of the e-SQ of industrial e-marketplace sellers.     

基于在线评论的网络零售定价模型研究

在线评论的出现深刻改变着消费者的经济行为模式、企业的赢利性及其定价策略。文章以消费者效用理论为理论基础,以网络零售两阶段销售为背景,建立了一个与在线评论相关的产品定价模型。通过数值模拟发现,在线评论数量越大,则第一阶段产品最优价格越低,第二阶段产品最优价格越高,网络零售商的总利润也越大;第一阶段消费者对产品价值的预期越高,则第一阶段产品最优价格越高,第二阶段产品最优价格越低,而只有当在线评论数量较小时,网络零售商的总利润才随第一阶段消费者对产品价值的预期增加而增加,否则,网络零售商的总利润将随第一阶段消费者对产品价值的预期增加而减少。     

Trader Survival: Evidence from the Energy Futures Markets

This study analyzes the adaptation of traders and the determinants of trader survival during a period of changing market structures. Our unique sample of transactions level data covers the introduction of electronic trading in the NYMEX energy futures market. The results show that most floor traders adapted to the side‐by‐side electronic and open outcry trading, although trader attrition increased and the profitability of surviving traders declined dramatically. It is also found that trading profits, trader experience and sophistication, and dual trading have a positive effect on the probability of trader survival. Scalpers are less likely to exit trading in pure open outcry trading, but are more likely to fail than traders who hold open positions longer in side‐by‐side trading. Finally, traders trading in multiple energy futures markets and those who use both the exchange floor and electronic trading appear to have a survival advantage in side‐by‐side trading. © 2011 Wiley Periodicals, Inc. Jrl Fut Mark 32:809–836, 2012     

Manipulation in Conditional Decision Markets

Conditional decision markets concurrently predict the future and decide on it. These markets price the impact of decisions, conditional on them being executed. After the markets close, a principal decides which decisions are executed based on the prices in the markets. As some decisions are not executed, the respective outcome cannot be observed, and the markets predicting the impact of non-executed decisions are void. This allows ex-post costless manipulation of such markets. We conduct two versions of an online experiment to explore scenarios in which a principal runs conditional decision markets to inform her choice among a set of a risky alternatives. We find that the level of manipulation depends on the simplicity of the market setting. When a trader is alone, has the power to move prices far enough, and the decision is deterministically tied to market prices or a very high correlation between prices and decision is implied, only then manipulation occurs. As soon as another trader is present to add risk to manipulation, manipulation is eliminated. Our results contrast theoretical work on conditional decision markets in two ways: First, our results suggest that manipulation may not be as meaningful an issue. Second, probabilistic decision rules are used to add risk to manipulation; when manipulation is not a meaningful issue, deterministic decisions provide the better decision with less noise. To the best of our knowledge, this is the first experimental analysis isolating the effects of the conditional nature of decision markets.     

Consumer-to-consumer e-commerce: outcomes and implications

Abstract

One outcome of the digitised retail environment is the emergence of consumer-to-consumer (C2C) electronic commerce. Existing research has extensively addressed C2C commerce in an offline environment, while relatively little is known about online C2C behaviour. Thus, there is a need to deepen the understanding of how and why consumers engage in C2C e-commerce as well as the implications that C2C e-commerce holds for retailers. To address this gap, a comprehensive survey targeting Finnish consumers was conducted. The survey yielded a total of 2823 respondents who had transacted on C2C e-commerce platforms. The data are used to profile C2C e-commerce with demographics, product categories, customer value and key retail outcomes. This analysis provides a well-grounded basis for discussing the implications of C2C e-commerce for retailers.     

Intertemporal volatility and price interactions between Australian and Japanese spot and futures stock index markets

Previous studies have examined causality within and between different spot and futures markets with a motivation to discover market comovements, price leadership effects, and, more recently, volatility spillovers across markets. However, the empirical framework within which this is accomplished tends not to analyze explicitly foreign spillover effects upon a spot–futures relationship, which may significantly alter the equilibrium between these markets. This will then have a direct impact upon the estimation of dynamic risk adjustments that occur from the interaction between these markets. This article develops a quadvariate simultaneous-equation EC-ARCH model with an emphasis on volatility spillovers as a better alternative methodology to evaluate these relationships from a different perspective. This model is applied to examine the interaction between the Australian and Japanese spot and futures stock index markets, which allows for an Australian or Japanese futures trader to analyze the impact of foreign cash and futures markets, as well as the local cash market, on the local futures market in a single coherent framework. This type of analysis is not possible using previous paradigms, because they allow the trader only to examine the impact of local cash and foreign futures markets in separate settings. © 1999 John Wiley & Sons, Inc. Jrl Fut Mark 19: 523–540, 1999     

Efficiency Considerations in Online Auction Markets

The main contention of this article is that online auction markets are amenable to efficiency considerations akin to traditional financial markets. While the underlying assets traded are dissimilar between the financial and online auction markets, the fundamental principles that drive these markets are consanguineous in that similar efficiency notions are applicable. Based on the principles of arbitrage, we develop a set of efficiency criteria to evaluate the auction activity of new and identically described items. Two arbitrage principles, seller arbitrage and buyer arbitrage, are developed. These principles can be employed to evaluate the price behavior of temporally proximate auctions and to generate a useful benchmark to make efficiency evaluations. We find evidence of inefficiency for each of the items we empirically tested based on the data from eBay, currently the largest online auction house.     

Consumer Decision Making on the Web: A Theoretical Analysis and Research Guidelines

Recent empirical data on online shopping suggests that consumers have the potential to make better quality decisions while shopping on the web. But whether such potential is being realized by most consumers is an unresolved matter. Hence, the purpose of this research is to understand how (1) certain features of electronic environments have a favorable effect on the abilities of consumers to make better decisions, and (2) identify information‐processing strategies that would enable consumers to make better quality decisions while shopping online. A cross‐disciplinary theoretical analysis based on constructs drawn from economics (e.g., time costs), computing (e.g., recommendation agents), and psychology (e.g., decision strategies) is conducted to identify factors that potentially influence decision quality in electronic environments. The research is important from a theoretical standpoint because it examines an important aspect of online consumer decision making, namely, the impact of the electronic environment on the capabilities of consumers. It is important from both a managerial and public policy standpoint because the ability of shoppers to make better quality decisions while shopping online is directly related to improving market efficiency and enhancing consumer welfare in electronic markets.     

Investor Sentiment and Return Predictability in Agricultural Futures Markets

This study examines the usefulness of trader‐position‐based sentiment index for forecasting future prices in six major agricultural futures markets. It has been found that large speculator sentiment forecasts price continuations. In contrast, large hedger sentiment predicts price reversals. Small trader sentiment hardly forecasts future market movements. An investigation was performed into various sentiment‐based timing strategies, and it was found that the combination of extreme large trader sentiments provides the strongest timing signal. These results are generally consistent with the hedging‐pressure theory, suggesting that hedgers pay risk premiums to transfer nonmarketable risks in futures markets. Moreover, it does not appear that large speculators in the futures markets possess any superior forecasting ability. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21:929–952, 2001     

A secure,real-time stock market protocol

Stock markets constitute the largest electronic commerce market in the world. The tremendous growth in trading volume and the need for fast and accurate transaction execution has made the stock market one of the most technology friendly markets. The fastest growing stock exchange, NASDAQ, is a wholly electronic stock exchange with all transactions conducted over computer networks. However, the transaction model used by NASDAQ and other electronic stock markets still borrows heavily from the older traditional models used by non-electronic stock exchanges. Two important requirements of modern day stock market transactions are: (a) customer's ability to place sophisticated transaction orders to buy/sell stock, and (b) customer's ability to detect transaction delays. Modern electronic stock exchanges lack both the ability to place newer, more sophisticated transaction orders and the ability to detect delays in transaction execution. In this paper, we propose a protocol for stock market transaction that can model a new sophisticated model for transaction orders while continuing to support traditional transaction orders. The protocol is augmented with a mechanism to detect delays in transaction execution. It is further shown that the protocol proposed is secure, atomic, anonymous, private, and incurs low overhead costs. This revised version was published online in June 2006 with corrections to the Cover Date.     

Rethinking Catalogue and Online B2B Buyer Channel Preferences in the Education Supplies Market

The purpose of this study is to better understand B2B paper-based catalogue and online buying channel determinants in the education supplies sector by identifying factors that are critical in determining buyer channel preferences. A conceptual model was developed and empirically tested using self-report survey data from 316 B2B New Zealand educational institutions and analyzed with Hayes PROCESS macro (SPSS). The findings indicate that catalogue is the preferred channel for B2B educational buyers. The most important determinant of channel preference is channel experience. The catalogue and online channels appear to be less substitutable in B2B markets then proposed by B2C market studies. Structural assurance (trust, security, safeguards, and robustness) is a significant predictor of general channel satisfaction, and online channel preference, but not catalogue channel preference. The study results benefit practitioners in the development and implementation of channel strategies by providing a better understanding of the factors that determine online and catalogue channel preference in B2B markets. This study is the first to empirically demonstrate the influence and importance of structural assurance in catalogue channels, while channel experience supported by structural assurance significantly influences online channel choice. These findings indicate that determinants of channel preference found in B2C studies cannot be uncritically transferred to the B2B domain. The research also suggests that existing B2B channel adoption and preference drivers are different from B2C, and B2C research is not necessarily applicable in the B2B context.     

The effect of net positions by type of trader on volatility in foreign currency futures markets

We investigate the effect of net positions by type of trader on return volatility in six foreign currency futures markets using the weekly Commitments of Traders (COT) data. When net positions are decomposed into expected and unexpected components, we find that expected net positions by type of trader generally do not co‐vary with volatility. However, volatility is positively associated with shocks (in either direction) in net positions of speculators and small traders, and negatively related to shocks (in either direction) in net positions of hedgers. This evidence suggests that changes in speculative positions destabilize the market. Consistent with dispersion of beliefs models and noise trading theories, hedgers appear to possess private information, whereas speculators and small traders are less informed in these markets. © 2002 Wiley Periodicals, Inc. Jrl Fut Mark 22:427–450, 2002     

引入运费险参数的电商利润优化模型分析

在网购盛行的同时,网购行为中更为常见的退货行为也给电商的利润带来了较大的不利影响。运费险诞生后,基于运费险的电商最优决策成为运营管理中的热点问题之一。将退货率及退货运费险引入经典报童模型当中,基于报童模型给出考虑退货运费的电商利润预测模型。基于商家是否购买运费险的决策,推导出不同情境下,商家的最优订货量及对应利润。通过具体算例,给出了电商利润的数值模拟。结果表明,商家在决策是否购置运费险时,应当考虑商品性价比、原有销量和利润、退货率、退货处理成本等因素。在对采购策略进行决策时,应当考虑最优订购量、进货成本。     

The Effects of Credible Online Reviews on Brand Equity Dimensions and Its Consequence on Consumer Behavior

Consumers are using social media platform to gain and share knowledge on brands. In the virtual environment, consumers are exposed to various online reviews on brands that leave an impression of brands on the minds of the consumers. The present study combines Yale attitude change model and attribution theory to examine the effects of credible online reviews on brand equity dimensions. The present study views, through the lens of Yale attitude change model, the various factors that affect credibility evaluation of online reviews. Further, attribution theory is used as the theoretical backbone to analyze the effects of credible online reviews on brand equity dimensions and finally on purchase intention. This study uses structural equations modeling (SEM) to investigate the impact of online credible reviews on customer based brand equity (CBBE) dimensions and its consequence on consumer behavior (purchase intention). Results indicate that source and review quality are the most important factors that affect consumer's credibility evaluation of a review. Online credible reviews have more significant impact on brand awareness, perceived value and organizational associations and thus leads to consumer's purchase intention in the context of consumer electronic products in India.     

Predicting entry of Swedish wholesale firms into local markets

Applying microeconomic theory, we develop a forecasting model for firm entry into local markets and test this model using data from the Swedish wholesale industry. The empirical analysis is based on directly estimating the profit function of wholesale firms. Profits are assumed to depend on firm- and location-specific factors, and the profit equation is estimated using panel data econometric techniques. Using the residuals from the profit equation estimations, we identify local markets in Sweden where firm profits are abnormally high, given the level of all independent variables included in the profit function. From microeconomic theory, we then know that these local markets should have higher net entry than other markets, all else being equal, and we investigate this in a second step, also using a panel data econometric model. The results of estimating the net-entry equation indicate that 19 of 30 estimated models have more net entry in high-return municipalities, but the estimated parameter is only statistically significant at conventional levels in one of our estimated models, and then with an unexpected negative sign.     

A conceptual model of motivations for consumer resale on C2C websites

More consumers nowadays are acting the role of reseller by taking advantage of online consumer-to-consumer (C2C) auction sites. Such auctions may involve new behaviours created by the new technology. Yet the amateur consumer seller, a key player in C2C online auctions, has rarely been the focus of research; scholars know little about online reselling behaviour. Using a literature review, from participant observation and in-depth interviews with 48 Taiwanese consumers involved in 250 online resale transactions, 4 intrinsic motivations of online resale behaviour are identified. A conceptual model of consumer resale motivations is presented and corresponding research propositions are developed based on the existing literature and the preliminary findings of this exploratory empirical study. Finally, conclusions, managerial implications and outline directions for further research are discussed.     

网络购物环境下的电子服务质量探究

近年,随着网络购物迅猛的发展,网络企业的服务质量好坏对于企业竞争优势的获取意义重大。通过对电子服务质量文献进行综合分析和研究,将电子服务质量划分为服务环境质量、服务过程质量和服务结果质量三个维度,并开发了相应的电子服务质量量表,为今后的电子服务质量的研究和网络企业服务质量的提高提供了理论依据。但探究验证表明,从具体行业着手,利用国外现有的模型进行评估,大多较少从理论本源上研究服务质量构成要素,大大限制了我国的服务质量研究水平。     

Exchange Market for Complex Goods: Theory and Experiments

The modern economy includes a variety of markets, and the Internet has opened opportunities for efficient on-line trading. Researchers have developed algorithms for various auctions, which have become a popular means of on-line sales. They have also designed algorithms for exchange markets, which support fast-paced trading of standardized goods. On the other hand, they have done little work on exchanges for complex nonstandard goods, such as used cars. We propose a formal model for trading complex goods, and present an exchange system that allows traders to describe desirable purchases and sales by multiple attributes; for example, a car buyer can specify a model, options, color, and other properties of a desirable vehicle. Furthermore, a trader can enter complex constraints on the acceptable items; for instance, a buyer can specify a set of desirable vehicles and their features. The system supports markets with up to 260,000 orders, and generates hundreds of trades per second.     

Patterns of trade restrictiveness in online platforms: A first look

This paper develops a digital platform restrictiveness index for 64 countries based on ECIPE’s Digital Trade Estimates database and the Digital Trade Restrictiveness Index. We identify specific restrictions that affect online platforms with a focus on online search, e-commerce and social media. The results show that both OECD and non-OECD countries show high levels of trade restrictions on online platforms. Moreover, some of the most restricted countries are characterised by large markets, signifying that a substantial part of the global economy gravitates towards restricting online platforms. Based on the platform restrictiveness index, we perform an econometric analysis showing that trade restrictions for online platforms are significantly associated with lower contributions of the ICT sector to productivity growth in the entire economy. The results suggest that reducing restrictions on online platforms can increase the ICT’s contribution to overall productivity growth towards a level seen before the global financial crisis. Sectors that would benefit the most are those that make wider use of online platforms and the Internet, including information services, business services and financial services.     

An experimental study of online complaint management in the online feedback forum

In this study, we begin with the conjecture that the online feedback forum is important with regard to managing reputation and in attracting potential customers in the initial stage of unknown online stores. Using reference influences in marketing and existing information systems (IS) literature on the role of feedback in the electronic market, we developed hypotheses exploring the relations among pervious customers’ feedback in the online forum, successful complaint management against the negative feedback, and potential costumers’ initial trust toward online retailers. In an experimental study, we tested the hypotheses using 68 college students that visit a forged online retailer selling used notebook computers. Our results show that stores can recover from potentially damaged reputations through effective complaint management. The results also implicate that negative feedback adversely affects initial trust.