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This study aims to investigate the nature and evolution of online communities in the early stages of their life cycles. The authors analyze the topics of discussions in an online community to identify issues related to community development. The authors also compare the topics of exemplary questions that founding members believed to be asked with the real questions based on members' information needs.

The authors use Medical Sciences Stack Exchange, a health Q&A community of Stack Exchange, which requires four stages of development: definition, commitment, private beta and public beta. The authors collect postings of discussions and health questions in the first three stages, perform a content analysis of the postings and analyze the topics of discussions and health questions.

The authors find that the topics of discussions evolved dynamically with the issues of community governance, role as a medical/health community, members and roles, content management, quality control and community design. The authors also find that the real questions included more specific and diverse issues than the exemplary questions that founding members expected.

Theoretically, this study tests the community life cycle model in an online community that has explicit phase markers. The findings could shed light on community development and help prioritize issues to solve and decisions to make in its early stages. Additionally, this study focuses on the challenges and concerns in online health community building and solutions generated by collective efforts that could influence health communications in online communities.

The purpose of this paper was to develop a framework of working-together relations and investigate ways to enhance working-together relations among people, organisations, communities and neighbourhoods using working-together applications. Today, people in communities, neighbourhoods and constituencies often work together in a coalition of public, private and non-profit institutions. The technology used today has enabled new forms of communications and collaboration. The rapid growth of mobile technologies and interactive, collaborative applications based on Web technologies has enabled the development of new approaches to derive and share organisational and local knowledge. Not all of these applications have succeeded; after a certain time, users tend to stop using online applications that do not assist them in developing collaborative practices with their team members.

To better understand the essential characteristics of a successful online application that effectively supports people to work together, the authors undertook an inductive analysis of related literature and existing social media application.

By combining and categorising the findings, it was possible to articulate the characteristics associated with four identified categories of working-together relations: networking, coordination, cooperation and collaboration. The study also identified essential activities that are performed in each working-together category and the factors that enable successful working-together relations: trust, risk and rewards.

Future studies will look into how applications could be further enhanced, so that, for example, an application that is currently classified as “coordination” could be improved and the required characteristics of “collaboration” could be met.

It is expected that the framework derived will assist in the design of successful online applications to support different categories of working-together relations.

The main contribution of this study is a new framework that can now be used to identify how effective an existing application can be in assisting the working-together relations.

Open data resources contain few signals for assessing their suitability for data analytics. The purpose of this paper is to characterize the uncertainty experienced by open data consumers with a framework based on economic theory.

Drawing on information asymmetry theory about market exchanges, this paper investigates the practical challenges faced by data consumers seeking to reuse open data. An inductive qualitative analysis of over 2,900 questions asked between 2013 and 2018 on an internet forum identified how a community of 15,000 open data consumers expressed uncertainty about data sources.

Open data consumers asked direct questions that expressed uncertainty about the availability, interoperability and interpretation of data resources. Questions focused on future value and some requests were devoted to seeking data that matched known sources. The study proposes a data signal framework that explains uncertainty about open data within the context of control and visibility.

The proposed framework bridges digital government practice to information signaling theory. The empirical evidence substantiates market aspects of open data portals. This paper provided a needed case study of how data consumers experience uncertainty. The study integrates established theories about risk to improve the reuse of open data.

The purpose of this paper is to investigate longitudinal features of an established social question-answering (Q&A) site to study how question-answer resources and other community features change over time.

Statistical analysis and visualisation was performed on the full data dump from the Stack Overflow social Q&A site for programmers.

The timing of answers is as strong a predictor of acceptance – a proxy for user satisfaction – as the structural features of provided answers sometimes associated with quality. While many questions and answer exchanges are short-lived, there is a small yet interesting subset of questions where new answers receive community approval and which may end up being ranked more highly than early answers.

As a large-scale data oriented research study, this work says little about user motivations to find and contribute new knowledge to old questions or about the impact of the resource on the consumer. This will require complementary studies using qualitative and evaluative methods.

While content contribution to social question-asking is largely undertaken within a very short time frame, content consumption is usually over far longer periods. Methods and incentives by which content can be updated and maintained need to be considered. This work should be of interest to knowledge exchange community designers and managers.

Few studies have looked at temporal patterns in social Q&A and how time and the moderation and voting systems employed may shape resource quality.

A reliability analysis of a solid oxide fuel cell (SOFC) system is presented for applications with strict constant power supply requirements, such as data centers. The purpose is to demonstrate the effect when moving from a module-level to a system-level in terms of reliability, also considering effects during start-up and degradation.

In-house experimental data on a system-level are used to capture the behavior during start-up and normal operation, including drifts of the operation point due to degradation. The system is assumed to allow replacement of stacks during operation, but a minimum number of stacks in operation is needed to avoid complete shutdown. Experimental data are used in conjunction with a physics-based performance model to construct the failure probability function. A dynamic program then solves the optimization problem in terms of time and replacement requirements to minimize the total negative deviation from a given target reliability.

Results show that multi-stack SOFC systems face challenges which are only revealed on a system- and not on a module-level. The main finding is that the reliability of multi-stack SOFC systems is not sufficient to serve as sole power source for critical applications such as data center.

The principal methodology may be applicable to other modular systems which include multiple critical components (of the same kind). These systems comprise other electrochemical systems such as further fuel cell types.

The novelty of this work is the combination of mathematical modeling to solve a real-world problem, rather than assuming idealized input which lead to more benign system conditions. Furthermore, the necessity to use a mathematical model, which captures sufficient physics of the SOFC system as well as stochasticity elements of its environment, is of critical importance. Some simplifications are, however, necessary because the use of a detailed model directly in the dynamic program would have led to a combinatorial explosion of the numerical solution space.

This paper seeks to highlight the benefits of using depository exchange lists as collection development tools.

The authors provide a general overview of depository collection development and analyze exchange list activity at the national and local level.

Although exchange lists are widely available electronically, only a small portion of depository libraries actually use them as found in the analysis of exchange list activity at the national level. Many unique and out of print documents are regularly being offered on the lists.

This paper provides information on an area of government documents and collection development librarianship that is not widely covered in the literature. It highlights the use of exchange lists as a way to increase collections at a relatively low cost.

The purpose of this empirical study is to investigate extrinsic motivations that may affect adding or acknowledging user-generated content (UGC) on business websites, which are based on voluntary crowdsourcing.

A conceptual model of extrinsic motivations for knowledge sharing in UGC-based websites was developed, suggesting reciprocity, awareness of rewards and prestige as main extrinsic motivations for adding content. The model was examined via an online survey of users of three websites that varied in the attributes of knowledge shared and reward type: The Traveler (tangible rewards), Stack Overflow (virtual rewards) and Waze (virtual rewards).

Importance of extrinsic motivations varied among websites, as it may be affected by attributes of the knowledge shared. Reciprocity positively affected recommending the website, and adding content affected acknowledging content.

Investigating extrinsic motivations is important because websites may take actions that affect them. Further research is required to reveal the potential of voluntary crowdsourcing in business contexts addressing both intrinsic and extrinsic motivations, prosumption and open innovation.

When reciprocity is a major aspect of a UGC website, badges and similar mechanisms may serve as a main extrinsic motivation to share knowledge.

The novel empirically validated model provides theoretical and practical insights for designing mechanisms for increasing extrinsic motivation for knowledge sharing according to specific characteristics of UGC websites.

This research investigates the detailed mechanisms of how gamification affordances influence intrinsic and internalized extrinsic motivation and ultimately improve the quality and quantity of knowledge contribution.

Survey responses from 154 users of Stack Overflow in Portuguese were analyzed by the partial least squares–structural equation modeling approach to validate the research model.

Challenge and goal setting influence individuals to reach the flow state, which increases the quantity of knowledge contribution. Rewards enhance the quality of knowledge contribution through perceived self-worth. Social comparison increases perceived reputation, but its impact does not ultimately lead to knowledge contribution.

The current study differentiated types of motivation and dimensions of knowledge contribution when exploring the effects of gamification affordances. This perspective was proven helpful to understand the various gamification affordances' influence on knowledge contribution.

In the co-creation process from a network perspective, service is produced, designed, and evaluated entirely by the actors with dynamic roles and with less participation by the firm's employees in the service process. The purpose of this paper is to develop a theoretical model that represents environmental stimuli and value perceptions that contribute to service co-creation behaviour in an online network.

A total of 36 semi-structured interviews were conducted with members of two online programming communities – GitHub and Stack Overflow co-creators, with the data analysed using thematic analysis. The stimulus-organism-response model guided the development of the final model.

Social influence and trust are influential in actor value perceptions, including primary and network value, the interplay of which leads actors to co-production, supportive, and administrative behaviour. Environmental factors do not directly drive actors; rather it is the value that initiates and drives actors, which, by extension, initiates and drives the co-creation of services.

The service co-creation behaviour model provides a basis for future research in the co-creation and co-destruction context to model behaviours within the online network organisation setting and thereby enable improvement of such systems. This model can be operationalised in a network environment through design features.

This paper provides a rich understanding of environmental stimuli and value perception factors that contribute to the co-creation of services, and identifies different types of behaviours in dynamic online networks. This paper presents a new model of different types of behaviours emerging from actor participation in the co-creation process.