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This paper addresses social interatcion and the formation of value beliefs in markets. It empirically examines value construction by analyzing rebidding behavior in online auctions, wherein individuals reassess the maximum price they would pay for a given product. Statistical analyses of more than 10,000 auctions containing more than 55,000 individual bids on the auction website eBay suggest that rebidding is positively associated with a lack of auction-internal price information and bidder inexperience. Analyses also suggest that engaging in rebidding is positively associated with an individual winning an auction. This work, therefore, helps to provide a deeper understanding about valuation, price formation, and the organization of markets. This work contributes to domains of research related to the construction of value and the emergence, evaluation, and legitimization of new products, services, and ideas.

The concept and practice of e-services has become essential in business transactions. Yet there are still many organizations that have not developed e-services optimally. This is especially relevant in the context of Indonesian Airline companies. Therefore, many airline customers in Indonesia are still in doubt about it, or even do not use it. To fill this gap, this study attempts to develop a model for e-services adoption and empirically examines the factors influencing the airlines customers in Indonesia in using e-services offered by the Indonesian airline companies. Taking six Indonesian airline companies as a case example, the study investigated the antecedents of e-services usage of Indonesian airlines. This study further examined the impacts of motivation on customers in using e-services in the Indonesian context. Another important aim of this study was to investigate how ages, experiences and geographical areas moderate effects of e-services usage.

The study adopts a positivist research paradigm with a two-phase sequential mixed method design involving qualitative and quantitative approaches. An initial research model was first developed based on an extensive literature review, by combining acceptance and use of information technology theories, expectancy theory and the inter-organizational system motivation models. A qualitative field study via semi-structured interviews was then conducted to explore the present state among 15 respondents. The results of the interviews were analysed using content analysis yielding the final model of e-services usage. Eighteen antecedent factors hypotheses and three moderating factors hypotheses and 52-item questionnaire were developed. A focus group discussion of five respondents and a pilot study of 59 respondents resulted in final version of the questionnaire.

In the second phase, the main survey was conducted nationally to collect the research data among Indonesian airline customers who had already used Indonesian airline e-services. A total of 819 valid questionnaires were obtained. The data was then analysed using a partial least square (PLS) based structural equation modelling (SEM) technique to produce the contributions of links in the e-services model (22% of all the variances in e-services usage, 37.8% in intention to use, 46.6% in motivation, 39.2% in outcome expectancy, and 37.7% in effort expectancy). Meanwhile, path coefficients and t-values demonstrated various different influences of antecedent factors towards e-services usage. Additionally, a multi-group analysis based on PLS is employed with mixed results. In the final findings, 14 hypotheses were supported and 7 hypotheses were not supported.

The major findings of this study have confirmed that motivation has the strongest contribution in e-services usage. In addition, motivation affects e-services usage both directly and indirectly through intention-to-use. This study provides contributions to the existing knowledge of e-services models, and practical applications of IT usage. Most importantly, an understanding of antecedents of e-services adoption will provide guidelines for stakeholders in developing better e-services and strategies in order to promote and encourage more customers to use e-services. Finally, the accomplishment of this study can be expanded through possible adaptations in other industries and other geographical contexts.

One of the biggest challenges in markets where products have ambiguous values (like fine art, specialty coffee, and wine) is to determine the structure of the market. As products in these markets are unique and values are private, it is difficult to determine its market structure using traditional methods. In this chapter, we present a method to determine the market structure of ambiguously valued products using bidding data from auctions. We create a sociomatrix of artists based on bidders revealed bidding preferences and uncover the market structure with artists as the unit of analysis. We demonstrate our approach using bidding data from an online auction of Modern Indian Art. This approach resulted in the extraction of a two-dimensional art market structure with color and price being the two dimensions. This chapter concludes with a discussion on the implications and limitations of our approach, and directions for future research.

Mercado Livre, a site for e-commerce and online auctions, is popular in Brazil. Given the accessibility of user-friendly technology, any person can open an auction on the internet to trade items such as cars, mobile phones, and domestic electrical appliances. In 2012, a media mobilization was sparked after the online auction of Brazilian Catarina Migliorini’s virginity. Described by the Brazilian media as one of the events of the year, the auction was promoted by Justin Sisely, an Australian filmmaker who designed the project Virgins Wanted. Tracing media reports, this chapter focuses on Migliorini’s savvy attention literacies, upon which she capitalized upon the situation to obtain her celebrity. Seizing the opportunity given by a watchful internet audience, she established herself as an iconic personality through press coverage and the curation of online profiles, and became a microcelebrity.

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

This simple case study tells the story of three young men who started an online business-to-business trading portal for fun, and to help fund them through university. They seized the opportunity of a major assignment to ask a new lecturer, the narrator, to guide them into profitability. Reluctantly, the young men were coerced into a literature survey, which proved surprisingly helpful to them. A simple research project followed, using mixed methods (survey, expert opinion, key account interviews). Based on the survey results and some simple frameworks from the literature, the young men not only completed their exercise, but also went on to turn their hobby into a sustainable business. The business still exists today, based on the simple study conducted some 12 years ago.

The growth of research on the cognitive origins of market performance has focused on the impact of categories as a primary cognitive mechanism by which exchange occurs. In this research, performance outcomes are typically reduced when firms and products fail to meet audiences’ expectations about membership into categories. The ensuing literature has focused on spanning categories as evidence of not meeting audience expectations while largely ignoring the specific study of expectations themselves. This chapter argues that expectations for market behavior are important in their own right, and can impact market outcomes even when categorical boundaries are respected. Using the market for engagement rings as a setting, I show how lack of adherence to expectations can both increase and decrease market value even as the engagement rings adhere to categorical boundaries. Rather than simply focusing on category spanning as evidence that audience expectations have not been met, the findings suggest that expectations should be considered explicitly, with implications for competitive strategy.