REVIEW OF PREDICTION MARKET RESEARCH: GUIDELINES FOR INFORMATION SYSTEMS RESEARCH

This paper presents an analysis of prediction market (PM) research relevant to information systems. Prediction markets are (online) markets are usually not traded on existing exchanges but on future events. As an emerging research area, prediction markets have received considerable attention from several disciplines, including economics, politics, marketing, computer science, electronic commerce and etc. In information systems research, however, they have been largely ignored. This study reviewed 93 academic articles concerning prediction markets. The analysis reveals that an increasing volume of PM research has been conducted, and that research themes of these studies can be categorized into three groups, namely general introduction, theoretical work, and PM applications. Building upon this work, we argue for the importance of future prediction market research and suggest potential research targets for IS researchers

UNDERSTANDING THE INFORMATIONAL SOCIAL INFLUENCE OF ONLINE REVIEW PLATFORMS

Online review platforms have become a basis for many consumers to make informed decisions. This type of platforms is rich in review messages and review contributors. For marketers, the platforms’ practical importance is its influence on business outcomes. In the individual level, however, little research has investigated the impacts of a platform on consumer decision-making process. In this research, we use the heuristic-systematic model to explain how consumers establish their decision based on processing review messages on the platform. We build a research model and propose impacts of different constructs established from the systematic and heuristic processing of review messages. Survey data from a Chinese online review platform generally supports our hypotheses, except that the heuristic cue, source credibility, fails to affect consumers’ behavioral intention. Based on the findings, we discuss implications for both researchers and practitioners. We further point out limitations and suggest opportunities for future research

What Drives Users to Follow Companies’ Microblogs?: An Elaboration Likelihood Model Perspective

Along with the prevalence of microblogging technology, many companies have been creating microblog accounts to promote their products/brands and communicate with customers. However, it is still unclear regarding what factors are critical and can drive users to follow companies’ microblogs. To fill this gap, the present research develops a research model through the perspective of elaboration likelihood model. According to the elaboration level of information processing, we explicate users’ following behavior through three levels of participation: reading messages, forwarding messages, and commenting on messages of companies’ microblogs. We propose that information quality (the central route variable) and source credibility (the peripheral route variable) are two important antecedents in the research model. In addition, we extend the model by considering the role of similarity and examining its impacts on users’ following behavior. We empirically test our research model by collecting data from an existing microblogging site in China. The results show that most of the proposed hypotheses are supported. We thereafter discuss these findings, point out limitations and opportunities for future research, and summarize this study with implications for both theory and practice

ARE YOU AFRAID OF TRANSITING FROM WEB TO MOBILE PAYMENT? THE BIAS AND MODERATING ROLE OF INERTIA

The web-mobile payment transition has recently become a trend of business extension in the online payment marketplace. However, channel conflicts always exist in a multichannel environment which harms users’ willingness to try out new entrants. Using the status quo bias theory and the coping theory as theoretical lenses, we develop a model to investigate the role of traditional web payment inertia on mobile payment (MP) adoption. Our model posits that consumers’ intention to use MP, a form of coping intention, is a combination consequence of primary and secondary appraisal. Web payment inertia in turn demonstrates its effects on MP adoption via the primary and secondary appraisal process. Specifically, we hypothesize that inertia leads to decreased perceived value and increased perceived risk (i.e. primary appraisal factors) of the newly introduced MP. In addition, we hypothesize that inertia moderates the relationship between perceived controllability (i.e. secondary appraisal factor) and intention to use MP, such that perceived controllability becomes more important in the presence of inertia. We intend to conduct a field survey to test the research model and hypotheses

Cognitive Trust, Emotional Trust And The Value-Based Acceptance Model In Mobile Payment Adoption

Mobile commerce has grown rapidly worldwide and become globally competitive in the last decade. Despite the fact that mobile payment is a key enabling part of mobile commerce, consumers’ adoption has been lacking behind the adoption of many other mobile commerce activities. How to facilitate consumers’ adoption of mobile payment remains an important open question. Drawing on the attribution theory and value-based acceptance model, this study investigates the role of consumers’ trust on mobile payment adoption. In contrast to prior research, we develop a research model to examine the influence of both cognitive and emotional trust on consumers’ perceived value and the subsequent usage intention. We examine four dimensions of perceived value, namely functional, emotional, price and social value in the mobile payment context. The model is empirically tested with an online survey (n=273). Our results indicate that emotional trust has a much stronger effect than cognitive trust on consumers’ value perceptions. Further, functional, emotional and price value gain prominence in predicting adoption intention, while the effect of social value is insignificant. Discussions on limitations, theoretical and practical implications are provided

How to Increase Users' Social Commerce Engagement? A Technology Attractiveness Model

With the proliferation of social networking and electronic commerce, social commerce helps people engage in various forms of online social commercial activities through sharing their product or service knowledge and experiences. A better understanding of users' engagement in social commerce websites thus become increasingly important. Based on the attractiveness theory, this study proposes a research model that highlights the unique role of technology attractiveness, including task, social, and physical attractiveness, in promoting user involvement, which in turn affects social commerce engagement. Results demonstrate that users' perceptions of technology attractiveness are positively associated with their involvement with social commerce websites, and further stimulate engagement. In addition, website involvement partially and fully mediates the effects of social and physical attractiveness, respectively, on social commerce engagement. The limitations and implications of this study for research and practice are further discussed

How to Increase Users\u27 Social Commerce Engagement? A Technology Attractiveness Model

With the proliferation of social networking and electronic commerce, social commerce helps people engage in various forms of online social commercial activities through sharing their product or service knowledge and experiences. A better understanding of users\u27 engagement in social commerce websites thus become increasingly important. Based on the attractiveness theory, this study proposes a research model that highlights the unique role of technology attractiveness, including task, social, and physical attractiveness, in promoting user involvement, which in turn affects social commerce engagement. Results demonstrate that users\u27 perceptions of technology attractiveness are positively associated with their involvement with social commerce websites, and further stimulate engagement. In addition, website involvement partially and fully mediates the effects of social and physical attractiveness, respectively, on social commerce engagement. The limitations and implications of this study for research and practice are further discussed

Implementing opportunistic spectrum access in LTE-Advanced

Long term evolution advanced (LTE-A) has emerged as a promising mobile broadband access technology aiming to cope with the increasing traffic demand in wireless networks. However, the enhanced spectral efficiency offered by LTE-A may become futile without a better management of scarce and overcrowded electromagnetic spectrum. In this sense, cognitive radio (CR) has been proposed as a potential solution to the problem of spectrum scarcity. Among all the mechanisms provided by CR, opportunistic spectrum access (OSA) aims at a dynamic and seamless use of certain licensed bands provided the licensee is not harmfully affected. This operation requires spectral awareness in order to avoid interferences with licensed systems. In spite of implementing some spectrum sensing mechanisms, LTE-A technology lacks other tools that are needed in order to improve the knowledge of the radio environment. This work studies the adoption of a Geo-located data base (Geo-DB) that cooperatively retrieves and maintains information regarding the location of unutilized portions of spectrum potentially available for OSA. Moreover, the potential benefit of this LTE-compliant OSA solution is evaluated using a calibrated simulation tool, by which numerical results allow us to optimally configure the system and show that the proposed opportunistic system is able to significantly improve its performance.The authors would like to thank the funding received from the Ministerio de Ciencia e Innovacion within the Project number TEC2011-27723-C02-02 and from the Ministerio de Industria, Turismo y Comercio TSI-020100-2011-266 funds. This article had been written in the framework of the CELTIC project CP08-001 COMMUNE. Study by X. Gelabert is funded by the BP-DGR 2010 scholarship (ref. 00192). 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HOW ONLINE SOCIAL INTERACTIONS AFFECT CONSUMERS’ IMPULSE PURCHASE ON GROUP SHOPPING WEBSITES?

This paper explores how online social interactions may influence consumers’ impulse purchase when they browse online group shopping websites. We develop a research model based on the stimulus-organism-response framework and prior research on online social interactions. We propose that social interaction factors may serve as stimulating cues. In specific, opinion-based social interaction (i.e., review quality and source credibility) and behavior-based social interaction (i.e., observational learning) may affect perceived usefulness and positive affect (organism), which further lead to consumers’ urge to buy impulsively (response). We empirically test our model using an online survey method. The results show that both source credibility and observational learning positively influence perceived usefulness and positive affect. Meanwhile, review quality has a significant impact on perceived usefulness, but not on positive affect. Perceived usefulness is found to posit a significant impact on positive affect, which influences urge to buy impulsively. We believe that these findings have important implications for both research and practice. We provide new insights to understand online impulse buying by incorporating the perspective of online social interactions. We also expect that new e-business strategies can be developed for online retailers regarding how to evoke consumers’ impulse purchase urges