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The design of viable, small‐scale community spaces on the Net is often a hit‐or‐miss affair. To better understand promising approaches in this design space, it is necessary to go back in time to examine an earlier community technology. A field study is presented of The Castle, a dial‐up bulletin board system, that focuses on Disneyland. As a “gathering place for Disney enthusiasts”, The Castle is a fascinating, albeit eccentric, online community. The Castle's centrality in the fans’ interest network allows it to function as a collecting point. Here people find similar enthusiasts and even those with insider knowledge. Yet, because of the cost structure of dial‐up access (an accidental side‐effect of the technology), participants are overwhelmingly geographically local, which has useful consequences for social maintenance. It is argued that the geographical locality and centrality of interest allow The Castle to thrive. Most importantly, however, the combination of the two together creates a powerful social dynamic which has been lost in most contemporary online communities.

Describes how organizations looking to augment their memories through information technologies can employ an organizational memory system. Organizational and group memories can include a wide variety of materials, including documents, rationales for decisions, formal descriptions of procedures, and so on. Discusses findings from case studies of six organizations using or attempting to use the Answer Garden, a type of organizational memory system. Examines two major issues in the implementation of such systems: the gap between the idealized definition of organizational memory and the constrained realities of organizational life; and the effects of reducing contextual information in computer‐based memory. Suggests some avenues for managing these issues as well as for further technical and organizational research.

A multimedia computer system is one that can create, import, integrate, store, retrieve, edit, and delete two or more types of media materials in digital form, such as audio, image, full‐motion video, and text information. This paper surveys four possible types of multimedia computer systems: hypermedia, multimedia database, multimedia message, and virtual reality systems. The primary focus is on advanced multimedia systems development projects and theoretical efforts that suggest long‐term trends in this increasingly important area.

The purpose of this paper is to overcome the confusion generated by a loose definition of the term knowledge artifact (KA) and its impacts on the design of technologies supporting their use.

The paper looks at the conceptual foundations underpinning the concept of KA that are related to the way in which knowledge is conceived, and revisits the outcomes of empirical investigations to shed light on different aspects of the use of KA in various settings.

The paper identifies a class of KAs and its role in relation to other classes of KAs, as it emerges from the empirical investigations.

The focus is on documental artifacts that are, however, widely used in different domains and organizations. New empirical work is needed to consider other kinds of artifacts and their role in knowledge-intense activities.

The paper aims to drive the attention of the designer on phenomena that hinder the acceptance, appropriation and effectiveness of the technologies they design to support a crucial aspect of collaboration.

The paper is original in the following ways: first, documenting the interplay between a kind of KA that is poorly considered in the literature with other classes of KAs; second, highlighting a set of principles that should guide the construction of computational KAs of a different nature.

Popular constitutionalists seek to recover the popular sovereignty foundations of American constitutionalism, bringing the people in as active participants in the constitutional enterprise as they create and refashion the Constitution by “majoritarian and populist mechanisms” (Amar, 1995, p. 89). The result is to recover an understanding, in FDR's words, of constitution as a “layman's document, not a lawyer's contract” (Kramer, 2004, p. 207). This understanding has deep roots in American constitutionalism, tracing its lineage back to the founding and, as popular constitutionalists insist, finds powerful expression in the likes of The Federalist and Abraham Lincoln (Ackerman, 1991; Tushnet, 1998). In exercising popular sovereignty, the people founded the Constitution, but they did not simply retreat from the trajectory of constitutional development. Rather, as Bruce Ackerman argues, since the Constitution of 1787 the people have spoken in a manner that has re-founded the Constitution giving us a “multiple origins originalism” (Kersch, 2006a, p. 801; see also Amar, 1998 and 2005). In turning to founding era thought and the notion of constitutional foundations, popular constitutionalists like Ackerman and Amar make common cause with conservatives who turn to original intent, but then they seek to synthesize this understanding with democratic expressions of popular will by emphasizing both formal and informal constitutional change, giving us layered “foundings,” and a more complex version of “living constitutionalism.” Such constitutional change, however, can only legitimately come from an authentic expression of “We the People.”

Ensuring quality is one of the most significant challenges in microtask crowdsourcing tasks. Aggregation of the collected data from the crowd is one of the important steps to infer the correct answer, but the existing study seems to be limited to the single-step task. This study aims to look at multiple-step classification tasks and understand aggregation in such cases; hence, it is useful for assessing the classification quality.

The authors present a model to capture the information of the workflow, questions and answers for both single- and multiple-question classification tasks. They propose an adapted approach on top of the classic approach so that the model can handle tasks with several multiple-choice questions in general instead of a specific domain or any specific hierarchical classifications. They evaluate their approach with three representative tasks from existing citizen science projects in which they have the gold standard created by experts.

The results show that the approach can provide significant improvements to the overall classification accuracy. The authors’ analysis also demonstrates that all algorithms can achieve higher accuracy for the volunteer- versus paid-generated data sets for the same task. Furthermore, the authors observed interesting patterns in the relationship between the performance of different algorithms and workflow-specific factors including the number of steps and the number of available options in each step.

Due to the nature of crowdsourcing, aggregating the collected data is an important process to understand the quality of crowdsourcing results. Different inference algorithms have been studied for simple microtasks consisting of single questions with two or more answers. However, as classification tasks typically contain many questions, the proposed method can be applied to a wide range of tasks including both single- and multiple-question classification tasks.

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This study aims at investigating the effects of cultural values on corruption by integrating Hofstede's, Schwartz's, and Inglehart's frameworks.

First, corruption is conceptualized and Schwartz's, Hofstede's and Inglehart's cultural dimensions are presented. In the second part, the relationships among concepts are discussed and the hypotheses, variables, and theoretical models are presented. Then, the empirical tests are conducted, the theoretical/managerial implications are discussed, and an integrative model is proposed.

The empirical analysis confirms that after controlling for the effects of socio-economic development, cultural values have considerable influence on the level of perceived corruption. More specifically, it is found that Hofstede's High Power Distance, High Uncertainty Avoidance, Masculinity and Collectivism, Schwartz's Conservatism and Harmony, and Inglehart's Survival and Traditional-religious dimensions are associated with the corrupt behavior. By contrast, the opposite values namely Hofstede's Low Power Distance, Low Uncertainty Avoidance, Femininity, and Individualism, Schwartz's Autonomy and Mastery, and Inglehart's Self-Expression and Rational-secular dimensions tend to impede corruption.

This study has a limited scope as it relies on narrow conceptualizations of culture and corruption. Furthermore, like many cross-cultural studies, the current analysis relies solely on the national-level data and overlooks the effects of intra-national variations. It is important to note that while culture has important implications for the corrupt behavior, its effects should not be considered as deterministic.

By referring to the integrative model of this study, managers and scholars can conveniently describe a country's culture, understand the implications, and make sense of the level of associated corruption.

This study contributes to the literature by integrating three widely employed cultural frameworks, by incorporating a large number of countries into the research design, by providing a profound understanding of the influence of culture on corruption, and particularly by offering a comprehensive model for scholars and practitioners.