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Implementing peer-to-peer learning models within an academic library environment presents several benefits and challenges. This study explores the effectiveness of integrating peer-assisted learning in research services and considers the impact on those providing support and those seeking assistance. A more comprehensive understanding of peer education approaches in research support services will benefit academic libraries interested in incorporating this model.

This article showcases case study data from the reference and instruction peer-led learning programs at California State University Fullerton's Pollak Library, incorporating library interns and student assistants trained to provide front line research support to fellow students from 2019 to 2022. Feedback was collected across the learning experience from student facilitators, patrons assisted and participating library supervisors.

Project data demonstrates that incorporating students in traditional academic library research services nurtures experiential learning and serves as an effective high-impact practice. Additionally, peer-led programs contribute to a helpful, welcoming atmosphere for library users and help connect libraries to the communities they serve.

Exploring survey data and student reflections, this combined study highlights advantages and implications of incorporating peer learning programs in research services in both formal and informal instruction environments. Results also reveal promising methods for recruitment, training and sustainable program development for libraries considering this approach.

Looks at the 2000 Employment Research Unit Annual Conference held at the University of Cardiff in Wales on 6/7 September 2000. Spotlights the 76 or so presentations within and shows that these are in many, differing, areas across management research from: retail finance; precarious jobs and decisions; methodological lessons from feminism; call centre experience and disability discrimination. These and all points east and west are covered and laid out in a simple, abstract style, including, where applicable, references, endnotes and bibliography in an easy‐to‐follow manner. Summarizes each paper and also gives conclusions where needed, in a comfortable modern format.

A conference on this theme was organised at the Cardiff Business School, 14–15th September, 1988 and a selection of abstracts of papers presented has been compiled.

This paper seeks to examine the discourses that influence policy and practice in social enterprises. In institutional circles, arguments are shaped by the desire to protect assets for the community, while entrepreneurial discourses favour a mixture of investment sources, surplus sharing and inclusive systems of governance. A critique is outlined that challenges policy‐makers and academics to move beyond the heated debate on “business‐like” activity through a deeper understanding of the social relations entered into (and created by) different social entrepreneurial activities.

The paper is wholly theoretical. First, contradictions are exposed through a review of practitioner and scholarly literature. Thereafter, empirically grounded studies are used to develop a theoretical model that accommodates and accounts for diverse practices.

A broader perspective, that views human behaviour as a product of, and support system for, our socio‐sexual choices, is deployed to extend understanding of social capital. By integrating this into governance theory, workplaces come to be seen as complex centres of community‐building, replete with economic and social goals. The concept of “social rationality” is elaborated as an alternative way to understand the legitimacy of social entrepreneurial activity and management practice.

The paper concludes by developing a framework and typology that theorises social enterprise as a heterogeneous business movement. Each form of social enterprise integrates socially rational thinking into its policies and practices. This suggests a different educational agenda for social entrepreneurs oriented towards the equitable distribution, and not accumulation, of social and economic capital.

This paper has two main purposes. First, it considers the detrimental effects of four politically‐salient asymmetries on the policy choices of liberal democracies when dealing with the problem of human‐induced climate change. Second, it outlines and evaluates possible solutions for reducing or countering these asymmetries.

The approach involves an analysis and evaluation of policy options based on a survey of the relevant literature.

The paper highlights the serious mismatch between the magnitude and urgency of the climate change problem and the current political will to overcome or mitigate the problem. Although four categories of potential solutions, and the various mechanisms through which they might operate, are discussed, it is recognized that all the available options have significant drawbacks, not least limited political feasibility and doubtful effectiveness. In short, action within liberal democracies to mitigate climate change is likely to remain seriously constrained by the four asymmetries discussed, thus increasing the risk of dangerous climate change.

The paper highlights the complexities, both international and national, of confronting human‐induced climate change. In particular, it identifies four systemic reasons, in the form of politically‐salient asymmetries, why liberal democracies have struggled to take effective measures to reduce greenhouse gas emissions and provides a systematic assessment of possible solutions to these asymmetries. These include changes to accounting frameworks to ensure that the impact of humanity on the environment and future generations is more transparent.

The aim of this systematic literature review (SLR) is to map out the current state of the research on collaboration in the context of social entrepreneurship organisations (SEOs), synthesise this line of research and advance a research agenda.

A SLR of 40 scientific articles found in the Scopus and Web of Science databases built the foundation for an analysis of the state-of-the-art of the research addressing the interplay of SEOs and collaboration. This area of research has been very recent since the selected articles have been published since 2005 and more than half of which have appeared since 2017.

The findings suggest that collaboration is increasingly perceived as a crucial entrepreneurial activity and process for SEOs. The results indicate that collaboration is a vibrant and rapidly growing line of research which spans different fields of study, contexts, varied theoretical perspectives and multiple units of analysis. Furthermore, a total of five key research themes are identified pertaining to collaboration in the context of SEOs, such as motivations and strategies of collaboration, its antecedents, the interplay of institutional logics and tensions arising in collaboration, the impact of collaboration on the mission of SEOs and collaborative processes and practices.

To lend structure to this fragmented field of inquiry, this study systematically reviews and synthesises research on collaboration in the context of SEOs. In doing so, the study reveals that this line of research is under-researched, offering a significant scope for further scrutiny.

The purpose of this paper is to reconsider commonly held views on the ownership and management of private property, contrasting capitalist and simple property, particularly as it relates to the impact of the firm shareholder governance model on the shape of society.

The author contrasts an exchange value standpoint with a use value perspective to explicate current conditions under which neither the state nor the market prevail in organizing economic activity (i.e. the co-operative form of governance and community-created brand value).

This paper offers mechanisms and recommendations regarding the formalized conditions for collective action and definitions of common guiding principles to facilitate new expressions of the principles of co-ordination. Such behaviour will allow for the development of common resources the purpose being a re-appropriation of the world.

This consideration is motivated by the scale and scope of the modern global crisis which combines financial, economic, social and cultural dimensions to produce world disenchantment. Dismissing the alternative of individuals simply forsaking engagement with society as it stands, it becomes necessary to revisit at this historical moment, the ideals on which modern societies are built, including the philosophy of freedom for all. This utopian concept has produced an ideology limited by capitalist notions of private property, motivating this inquiry.

The purpose of this paper is to examine the factors that significantly affect the prediction of fake news from the virality theory perspective. The paper looks at a mix of emotion-driven content, sentimental resonance, topic modeling and linguistic features of news articles to predict the probability of fake news.

A data set of over 12,000 articles was chosen to develop a model for fake news detection. Machine learning algorithms and natural language processing techniques were used to handle big data with efficiency. Lexicon-based emotion analysis provided eight kinds of emotions used in the article text. The cluster of topics was extracted using topic modeling (five topics), while sentiment analysis provided the resonance between the title and the text. Linguistic features were added to the coding outcomes to develop a logistic regression predictive model for testing the significant variables. Other machine learning algorithms were also executed and compared.

The results revealed that positive emotions in a text lower the probability of news being fake. It was also found that sensational content like illegal activities and crime-related content were associated with fake news. The news title and the text exhibiting similar sentiments were found to be having lower chances of being fake. News titles with more words and content with fewer words were found to impact fake news detection significantly.

Several systems and social media platforms today are trying to implement fake news detection methods to filter the content. This research provides exciting parameters from a viral theory perspective that could help develop automated fake news detectors.

While several studies have explored fake news detection, this study uses a new perspective on viral theory. It also introduces new parameters like sentimental resonance that could help predict fake news. This study deals with an extensive data set and uses advanced natural language processing to automate the coding techniques in developing the prediction model.