Understanding consumption in social virtual worlds: A sensemaking perspective on the consumption of virtual goods

Virtual consumption involves consuming virtual goods in cyberspace. Virtual consumption activities are evolving into an essential activity in social virtual worlds. Despite the growing importance of this activity, little research examines this phenomenon. The current study investigates the fundamental question of how users understand the consumption of virtual goods. Using the theory of social representations and core-periphery analysis, this study elicits and analyzes the social representation of virtual consumption. Study participants are 154 Second Life users. Results identify 32 concepts and relationships representing the collective perceptions of virtual consumption in this social virtual world. Social representation map interpretations point to several key themes that provide a foundation for future investigations of virtual economy consumption behavior.     

Expenditure elasticities of the demand for leisure services

Although some research has already focused on the analysis of expenditure elasticities of leisure demand, some shortcomings with regard to the content and the underlying theoretical model as well as the applied methods exist. This article aims at avoiding these problems to provide consistent derivatives of leisure service expenditure elasticities. Therefore, a regular demand system is derived from microeconomic duality theory. To implement leisure specific demand factors (i.e. demand- and supply-based sports and recreational opportunities as well as sports and recreational preferences) while still being consistent with neoclassical demand theory, the basic model is extended by applying the demographic translation framework. Data of the continuous household budget survey (n?=?7724) from Germany is used for the estimation of the derived demand system. It is shown how sensitive the results are depending on the applied (censored) regression model: 16 out of 18 analysed services are indicated as luxury goods based on the findings of the Tobit model type I but as necessities based on the findings of the Tobit model type II. Possible implications are presented and discussed.     

Long-term forecasting: Meditations of two pitfall collectors

Summary This article discusses the pitfalls of long-term forecasting. One of the most important is that any model is in fact a subsystem cut from a general societal system. This implies that the distinction between endogenous and exogenous variables is unclear and thus the (sub) model is often unreliable as a tool for forecasting. A second pitfall is that the structure of a model reflects the structure of society. Changing societal structures requires models with changing structures and coefficients. Specific pitfalls are the instability of the functional form of relations, uncertainty about functional forms, variability of parameters. Some attention is paid to the decrease in the risk of wrong forecasts.Professor Pawlowski died, soon after this article was accepted for publication, in Katowice in August 1981.Paper presented at the international Congress of Arts and Sciences of the World University of the World Academy of Art and Science, Harvard, June 1980.     

Competition format,championship uncertainty and stadium attendance in European football – a small league perspective

To increase the number of regular season games, small football leagues are often organized as quadruple round robin tournaments with teams playing each other four times. Theoretically, however, the more games played, the less uncertain is the championship race, reducing fan interest in the league. This article uses data from Austria and Switzerland to study the relationship between competition format, championship uncertainty and attendance demand empirically. Results suggest that a team still in contention to win the championship positively affects attendance, while it is not the specificity of the competition format that per se contributes to less championship uncertainty.     

Social Knowledge Environments

Knowledge management represents a key issue for both information systems’ academics and practitioners, including those who have become disillusioned by actual results that fail to deliver on exaggerated promises and idealistic visions. Social software, a tremendous global success story, has prompted similarly high expectations regarding the ways in which organizations can improve their knowledge handling. But can these expectations be met, whether in academic research or the real world? This article seeks to identify current research trends and gaps, with a focus on social knowledge environments. The proposed research agenda features four focal challenges: semi-permeable organizations, social software in professional work settings, crowd knowledge, and cross-border knowledge management. Three solutions emerge as likely methods to address these challenges: design-oriented solutions, analytical solutions, and interdisciplinary dialogue.     

Competition and Fan Substitution Between Professional Sports Leagues

Review of Industrial Organization - A peculiarity in professional sports is the fact that leagues regularly hold monopoly power within their sports. However, whether and to what extent these...