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Develop a comprehensive framework for assessing the knowledge organization systems (KOSs), including the taxonomy of Wikipedia and the ontologies of Wikidata, with a specific focus on enhancing management and retrieval with a gender nonbinary perspective.

This study employs heuristic and inspection methods to assess Wikipedia’s KOS, ensuring compliance with international standards. It evaluates the efficiency of retrieving non-masculine gender-related articles using the Catalan Wikipedian category scheme, identifying limitations. Additionally, a novel assessment of Wikidata ontologies examines their structure and coverage of gender-related properties, comparing them to Wikipedia’s taxonomy for advantages and enhancements.

This study evaluates Wikipedia’s taxonomy and Wikidata’s ontologies, establishing evaluation criteria for gender-based categorization and exploring their structural effectiveness. The evaluation process suggests that Wikidata ontologies may offer a viable solution to address Wikipedia’s categorization challenges.

The assessment of Wikipedia categories (taxonomy) based on KOS standards leads to the conclusion that there is ample room for improvement, not only in matters concerning gender identity but also in the overall KOS to enhance search and retrieval for users. These findings bear relevance for the design of tools to support information retrieval on knowledge-rich websites, as they assist users in exploring topics and concepts.

The purpose of this paper is to investigate the relationship between preferred choice of school subject and student information behaviour (IB).

Mixed methods were employed. In all, 152 students, teachers and librarians participated in interviews or focus groups. In total, 1,375 students, key stage 3 (11-14 years) to postgraduate, responded to a questionnaire. The research population was drawn from eight schools, two further education colleges and three universities. Insights from the literature review and the qualitative research phase led to a hypothesis which was investigated using the questionnaire: that students studying hard subjects are less likely to engage in deep IB than students studying soft subjects.

Results support the hypothesis that preferences for subjects at school affect choice of university degree. The hypothesis that a preference for hard or soft subjects affects IB is supported by results of an analysis in which like or dislike of maths/ICT is correlated with responses to the survey. Interviewees’ comments led to the proposal that academic subjects can be classified according to whether a subject helps students to acquire a “tool of the Mind” or to apply such a tool. A model suggesting how IB may differ depending on whether intellectual tools are being acquired or applied is proposed.

The “inner logic” of certain subjects and their pedagogies appears closely linked to IB. This should be considered when developing teaching programmes.

The findings offer a new perspective on subject classification and its association with IB, and a new model of the association between IB and tool acquisition or application is proposed, incorporating the perspectives of both teacher and student.

Wikipedia's inclusive editorial policy permits unrestricted participation, enabling individuals to contribute and disseminate their expertise while drawing upon a multitude of external sources. News media outlets constitute nearly one-third of all citations within Wikipedia. However, embracing such a radically open approach also poses the challenge of the potential introduction of biased content or viewpoints into Wikipedia. The authors conduct an investigation into the integrity of knowledge within Wikipedia, focusing on the dimensions of source political polarization and trustworthiness. Specifically, the authors delve into the conceivable presence of political polarization within the news media citations on Wikipedia, identify the factors that may influence such polarization within the Wikipedia ecosystem and scrutinize the correlation between political polarization in news media sources and the factual reliability of Wikipedia's content.

The authors conduct a descriptive and regression analysis, relying on Wikipedia Citations, a large-scale open dataset of nearly 30 million citations from English Wikipedia. Additionally, this dataset has been augmented with information obtained from the Media Bias Monitor (MBM) and the Media Bias Fact Check (MBFC).

The authors find a moderate yet significant liberal bias in the choice of news media sources across Wikipedia. Furthermore, the authors show that this effect persists when accounting for the factual reliability of the news media.

The results contribute to Wikipedia’s knowledge integrity agenda in suggesting that a systematic effort would help to better map potential biases in Wikipedia and find means to strengthen its neutral point of view policy.

This chapter advances our understanding of collaborative innovation processes that span across organizational boundaries by providing an ethnographic account of idea generation dynamics in a member-initiated online songwriting community. Applying a science and technology studies perspective on processes “in the making,” the findings of this chapter reveal the generative entanglements of three processes of content-in-the-making, skill-in-the-making, and community-in-the-making that were triggered and maintained over time by temporary stabilizations of provisional, interim outcomes. These findings also elucidate interferences between these three processes, particularly when an increased focus on songs as products undermines the ongoing collaborative production of ideas. Regular interventions in the community design were necessary to simultaneously stimulate the three processes and counteract interfering tendencies that either prioritized content production, community building, or skill development, respectively. The authors conclude that firms seeking to tap into online communities’ innovative potential need to appreciate community and skill development as creative processes in their own right that have to be fostered and kept in sync with content production.

Students often complain about doing group work, which may lead them to be less engaged as a group and to seek shortcuts in developing their presentations. The purpose of his essay is identify and preferentially rectify student behavioral errors arising from placing too much trust in technology that can lead to too little personal interaction and engagement. The authors present their viewpoint on the classroom presentation outcome of a student group that used Google Docs to “prepare” for their presentation.

In a recent organizational behavior course, the authors had one such group arrive for their in-class presentation, only to discover that one group member was absent. The group had used Google Docs to share their research, yet no member read what the others had submitted. As a result, none of the group members could present the missing student’s material, with the obvious negative grading and finger-pointing outcomes.

The authors recognized that students needed more management direction than simply being proficient with technology. They lacked engagement behaviors leading to project responsibility. Engagement behaviors would include voice/face-to-face communication and content-related discussions questioning assumptions while strategically planning and operationalizing their topic of presentation.

The educational implications suggest an expanded role for the instructor to emphasize the role of student engagement behavior and the over-reliance on technology. Practical implications suggest making stronger connections to workplace expectations, making the student experience more transferable to their incipient workplaces and promoting the concept of team over group in terms of responsibility and conscientiousness and ultimately justifying their participation in providing value for their employer.

Many early-career researchers (ECR) are motivated by the prospect of creating knowledge that is useful, not just within but also beyond the academic community. Although research facilities, funders and academic journals praise this eagerness for societal impact, the path toward such contributions is by no means straightforward. In this essay, we address five common concerns faced by ECRs when they strive for societal impact. We discuss the opportunity costs associated with impact work, the fuzziness of current impact measurement, the challenge of incremental results, the actionability of research findings, and the risk of saying something wrong in public. We reflect on these concerns in light of our own experience with impact work and conclude by suggesting a “post-heroic” perspective on impact, whereby seemingly mundane activities are linked in a meaningful way.

The purpose of this paper is to present conceptual definitions for digital object use and reuse. Typically, assessment of digital repository content struggles to go beyond traditional usage metrics such as clicks, views or downloads. This is problematic for galleries, libraries, archives, museums and repositories (GLAMR) practitioners because use assessment does not tell a nuanced story of how users engage with digital content and objects.

This paper reviews prior research and literature aimed at defining use and reuse of digital content in GLAMR contexts and builds off of this group’s previous research to devise a new model for defining use and reuse called the use-reuse matrix.

This paper presents the use-reuse matrix, which visually represents eight categories and numerous examples of use and reuse. Additionally, the paper explores the concept of “permeability” and its bearing on the matrix. It concludes with the next steps for future research and application in the development of the Digital Content Reuse Assessment Framework Toolkit (D-CRAFT).

The authors developed this model and definitions to inform D-CRAFT, an Institute of Museum and Library Services National Leadership Grant project. This toolkit is being developed to help practitioners assess reuse at their own institutions.

To the best of the authors’ knowledge, this paper is one of the first to propose distinct definitions that describe and differentiate between digital object use and reuse in the context of assessing digital collections and data.

The author investigates whether investors’ online information demand measured by Google search query and the changes in the numbers of Wikipedia page view can explain and predict stock return, trading volume and volatility dynamics of companies listed on the Nigerian Stock Exchange.

The multiple regression model which encompasses both the univariate and multivariate regression framework was employed as the research methodology. As part of our pre-analysis, we test for multicollinearity and applied the Wu/Hausman specification test to detect whether endogeneity exist in the regression model.

We provide novel and robust evidence that Google searches neither explain the contemporaneous nor predict stock return, trading volume and volatility dynamics. Similarly, results also indicate that trading volume and volatility dynamics have no relationship with changes in the numbers of Wikipedia pages view related to stock activities.

This study opens new strand of empirical literature of “investors' attention” in the context of African stock markets as empirical evidence. No evidence from previous studies on investors' attention exist, whether in Google search query or Wikipedia page view, with respect to African stock markets, particularly the Nigerian stock market. This study seeks to bridge these knowledge gaps by examining these relations.

This paper presents an information technology based instructional model for effective learning in management information systems programs and modules for students in undergraduate education. This model is primarily centered on the traditional in-class learning model. Information technology is used in a unique and novel way in order to create a learning environment which not only engages students in the learning process but also enhances their problems solving skills, analysis and decision making abilities. The model embeds information technology in projects in order to hide complexities but without compromising achievement of learning objectives. It also uses information technology in a simulation mode in order to demonstrate key concepts or learning themes, to simulate main themes presented in case studies and to simulate problems behaviors. The model employs other creative techniques in order to deliver its overall goals.

Open source software (OSS) communities devoted to the development of electronic medical records (EMRs) have grown in recent years. The purpose of this paper is to focus on the challenge the leaders of these communities face in terms of building perceptions of psychological ownership among community members.

Surveys (n = 50) and brief interviews (n = 56) with individual members of an open source EMR community (most of whom are based in African nations) were used.

Among community members, normative commitment (in comparison to extrinsic motivation and affective commitment) was the strongest predictor of psychological ownership. Interviews revealed that community members tended to feel a greater sense of ownership toward the end user (i.e. hospitals and clinics) than toward the community itself.

To foster engagement and retention – and enhance the worldwide impact of their community on healthcare practices – leaders of open source EMR communities can offer incentives related to certifications and status-based rewards, hold annual meetings to allow members to develop a better understanding of the community and encourage members to “pay it forward” by involving end users (i.e. hospital and clinic employees) within the community, thus furthering public health initiatives.

OSS communities experience unique challenges compared to traditional organizations. This necessitates a reconsideration of the applicability of commonly accepted principles, tenets and recommendations from the management literature.