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This chapter addresses one of the most common and long-standing problems among college students, namely depression, as well as a potential consequence of depression, suicide. A formal definition of depression is presented, and symptoms of depression are discussed. Notably, clinical depression is differentiated from “feeling down” or having “the blues.” Common measures of depression for college students are described, and the current prevalence of depression among college students is explored, along with data pertaining to trends and trajectories. Particular attention is devoted to differences in rates and severity of depression among students of various ethnicities, gender identities, disabilities and sexual orientations. Next, the chapter covers various theories about and studies on the causes and consequences of depression, as well as preventive and remedial efforts that students can engage in to minimize the adverse effects of depression. The chapter concludes with a focus on college student suicide, including its prevalence, predictors of suicidal thoughts and behaviors and prevention and treatment of college student suicide.

This study examines how asking employees to self-assess their performance during the compensation setting process, when they are unaware of their marginal contribution to firm profit, affects employer welfare. Previous research suggests that giving employees a voice in the compensation setting process can positively affect employee performance and firm profit (Jenkins & Lawler, 1981; Roberts, 2003). However, the study proposes that asking employees to assess their own performance as part of the compensation setting process can have unintended consequences that ultimately lead to higher employee compensation demands. This is because asking employees to assess their performance increases their overconfidence in their own performance and their compensation demands. As a result, employers may face the dilemma of whether to meet these higher compensation demands or risk economic losses due to employee retaliation if their demands are not met. Through experimental evidence comparing a control condition without self-assessments and three self-assessment reporting conditions, the study provides evidence that supports the notion that eliciting employee self-assessments as part of the compensation process reduces employer welfare. Data on employee perceptions of performance further support the notion that asking employees to evaluate their performance leads to an inflated perception of their performance. These findings provide a theory-based explanation of why, in practice, many companies disentangle employee performance assessments from the compensation setting process and that companies are well advised in doing so.

We propose an economic model of housing markets. The model incorporates the macroeconomic relationships between prices, demand and supply. Since vacancy rates are not observable, the demand-supply mismatches are identified using a microeconomic model of search, matching and price formation. The model is applied to data on regional housing markets in England and Wales.

Economic theory combining macroeconomics and microeconomics together with new generation econometric methods for empirical analysis.

The empirical model, estimated for the ten government office regions of England and Wales, validates the economic model. We find that there is substantial heterogeneity across the regions, which is useful in informing housing and land-use policies. In addition to heterogeneity, the model enables us to better understand unrestricted inter-regional spatial relationships. The estimated spatial autocorrelations imply different drivers of spatial diffusion in different regions.

In the nature of other empirical work, the findings are subject to specificities of the data considered here. The understanding of spatial diffusion can also be further developed in future work.

This paper develops a nice way of closing macroeconomic models of housing markets when complete demand, supply and pricing data are not available. The model may also be useful when data are available but with large measurement errors. The model comes together with corresponding empirical methods.

Implications for the housing market and other regional policies are important. These are context-specific, but some implications for housing policy in the UK are provided in the paper as an example.

Unique housing market paper combining both macroeconomic and microeconomic theory as well as both theory and empirics. The rich framework so developed can be extended to much future work.

The authors investigate how COVID-19 has influenced the amount, type or topics of abuse that UK politicians receive when engaging with the public.

This work covers the first year of COVID-19 in the UK, from March 2020 to March 2021 and analyses Twitter abuse in replies to UK MPs. The authors collected and analysed 17.9 million reply tweets to the MPs. The authors present overall abuse levels during different key moments of the pandemic, analysing reactions to MPs by gender and the relationship between online abuse and topics such as Brexit, the government’s COVID-19 response and policies, and social issues.

The authors have found that abuse levels towards UK MPs were at an all-time high in December 2020. Women (particularly those from non-White backgrounds) receive unusual amounts of abuse, targeting their credibility and capacity to do their jobs. Similar to other large events like general elections and Brexit, COVID-19 has elevated abuse levels, at least temporarily.

Previous studies analysed abuse levels towards MPs in the run-up to the 2017 and 2019 UK General Elections and during the first four months of the COVID-19 pandemic in the UK. The authors compare previous findings with those of the first year of COVID-19, as the pandemic persisted, and Brexit was forthcoming. This research not only contributes to the longitudinal comparison of abuse trends against UK politicians but also presents new findings, corroborates, further clarifies and raises questions about the previous findings.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-07-2022-0392

This literature review aims to portray the thematic landscape of the Pacific Accounting Review (PAR) from 2013 to 2023. This paper also synthesises the special issues in PAR and identifies the main research streams that facilitate contemplating the dialogic interactions between PAR and real-world challenges. Furthermore, this paper aligns these streams with the emerging concerns in Sustainable Development Goals (SDGs) and technological disruptions to propose impactful future directions for publications in PAR.

This review adopts bibliometric analysis to establish the main research streams and objective measures for directing future publications. This paper acquires the data of 310 PAR articles from the Web of Science and ensure the data integrity before the analysis. Based on this technique, this paper also analyses PAR’s productivity, authorship and local and global impacts.

Our bibliometric analysis reveals three key research streams: (1) ESG practices and disclosures, (2) informal institutions in accounting and (3) accounting in transition. This finding affirms PAR’s relevance to real-world accounting challenges. Using a thematic map, this paper portrays the current state of PAR’s topics to identify potential directions for future publications. Further, this paper proposes three future paths for PAR: (1) the research agenda for non-financial reporting, (2) research relating to and from diverse countries considering both formal and informal contemporary contextual factors and (3) the future of the evolving accounting profession.

This study adds value to the existing PAR reviews by extending our knowledge with the latest publications, demonstrating an objective and replicable approach, and offering future directions for PAR publications.

The purpose of this study was to make sense of the individual perspectives of former undergraduate student mentors from science, technology, engineering, and mathematics (STEM) fields who took part in an after-school STEM mentoring program. The study examined the following research questions: (1) How do former undergraduate student STEM mentors interpret and give meaning to their after-school STEM mentoring experiences? (2) In what way can an after-school STEM mentoring experience lead to a deeper understanding of the long-term implications of a STEM mentorship program?

The sample comprised 21 former undergraduate STEM mentors. The study was guided by the methods of content analysis and repertory grid (RepGrid), with data collected via highly structured interviews. Eight elements were pre-selected for the RepGrid to elicit constructs from participants. These include (1) mentoring, (2) teaching, (3) research, (4) career, (5) workforce, (6) Nebraska STEM for you (NE STEM 4U), (7) networking, and (8) communication. The researcher employed content analysis for cross-case analysis and used interpretative clustering to analyze nuanced similarities and differences among participants. Personal construct theory was used to understand how former STEM mentors made sense of their experiences.

The results highlight the diversity of viewpoints among participants, as well as their connections to various career paths, communication strategies, and mentorship styles. These insights contribute to a deeper understanding of how STEM mentorship experiences can be tailored to the experiences of mentees. The study stresses the significance of clear communication in STEM and advises professionals to avoid excessive technical jargon to convey complex ideas. Overall, the study provides valuable insights into the motivations, perspectives, and benefits of former undergraduate mentors. Ultimately, recognizing how these factors impact STEM mentoring programs is vital for the long-term success and advancement of the STEM pipeline.

The study has several limitations, including the inclusion of participants lacking knowledge or experience with the eight elements used in the RepGrids. While participants had completed a bachelor’s degree in a STEM field, not all had pursued advanced schooling or careers that required knowledge or implementation of research.

Findings underscore the importance of acknowledging the diverse career paths within STEM fields to understand participants’ perspectives toward mentorship. Considering the incorporation of STEM mentorship within regular school hours and making it a graduation prerequisite could enhance student participation and advancement. Integrating STEM outreach programs into higher education curricula could facilitate the development of essential professional skills (e.g. critical thinking, problem-solving) among STEM undergraduate students. These implications highlight the importance of diverse mentorship styles and professional skills to foster a more inclusive STEM workforce.

The study focused on the individual perspectives of participants rather than employing a thematic analysis.

This research analyses how dialogical communication on social media enhances the effectiveness of sustainability messages in terms of brand engagement and purchase intention. Dialogical messages generate social media engagement, which helps improve consumer responses.

Two experimental studies (2 × 2) were conducted, in which two factors were manipulated: the dialogical potential of the message (dialogical versus monological) and message orientation (sustainability versus commercial).

The dialogical potential of the message moderates the effect of sustainability messages on brand engagement and purchase intention. Results indicate that sustainability messages featuring dialogical elements generate greater brand engagement and purchase intention than commercial messages. Furthermore, social media engagement mediates these effects.

This study offers valuable insights into applying dialogical principles to sustainability communication on social media. Marketers should design dialogical messages to foster dialogue with customers and enhance engagement.

Few studies have focused on analysing the effects of applying dialogical strategies on social media to communicate sustainability. Thus, this study highlights the importance of dialogical communication beyond the inclusion of interactive elements when communicating sustainability on social media. The inclusion of dialogical features specifically benefits sustainability messages, given the transparency and honesty they demand.

This study aims to examine the current status and different characteristic features of research data repositories established by BRICS nations in order to understand the research data infrastructure within BRICS countries.

The data were collected from the re3data repository (http://www.re3data.org/), focusing specifically on BRICS nations. The data were analyzed to grasp the current status of research data repositories in BRICS countries. The dataset was retrieved on March 2, 2024. A total of 195 Research Data Repositories (RDRs) originating from BRICS countries were identified and selected for comprehensive analysis.

As of March 2, 2024, re3data.org indexes a total of 3,192 Research Data Repositories (RDRs) worldwide, with BRICS nations contributing 195. China leads among BRICS nations, followed by India, Russia, and Brazil. Scientific and Statistical Formats are the most shared content categories, followed closely by Standard Office Documents. There is notable diversity in the subjects covered by RDRs across BRICS nations. English is the primary interface language, followed by Chinese and Portuguese. “House, tailor-made” software is widely used for creating RDRs, followed by Dataverse and DSpace. Fourteen metadata standards are found, with Dublin Core metadata being the most prevalent, followed by the DataCite Metadata Scheme. Most repositories are disciplinary, followed by institutional ones. Most repositories specify data upload types, with “restricted” being the most common, followed by closed types. Open access is predominant in data access, followed by restricted access and embargo periods, while a small number restrict access entirely.

The present study will help gauge the strengths and weaknesses of the RDRs of BRICS nations and also learn how open these RDRs are for data access and upload provisions. The study contributes to a broader comprehension of the accessibility and usability of research data within the BRICS community, ultimately fostering greater transparency, collaboration, and knowledge dissemination within the scientific community, thus fostering greater innovation and advancement in research endeavors. The study provides a nuanced understanding of the research data infrastructure within BRICS nations, highlighting key trends, strengths, and areas for potential improvement.

This paper identifies how the operations of labour market intermediaries (LMIs) transform dyadic employment relationships into triadic ones. It reveals the change dynamics that LMIs engage in to bring about this transformation and that contribute to the projectification of work.

Drawing on an institutional-work lens and using interview data from both TempX, a German-based staffing service provider, and its client organizations, the analytical framework details the dynamics by which LMIs appropriate various HR tasks and different labour-market-organizing roles and thus create these triadic employment relationships.

TempX assumes a powerful position between its client organizations and workers by increasingly taking over HR tasks from its client organizations, alternating between profiting from market transactions and engaging as a buyer and seller of labour. This powerful position, gradually created through four distinct, sequential, institutional work dynamics, allows it to transform dyadic employment relationships into triadic ones and to promote project-based work.

By showing how LMIs capitalize on the multiple services they offer, and how they use these services to establish a powerful position in both the labour market and in their relations with client organizations, this paper contributes to research on how LMIs change their institutional environment. Second, by showing that LMIs switch between different labour-market organizing roles and HR tasks, this paper reveals how essential this switching is for LMIs to establish triadic employment relationships and to drive the projectification of work, and thus it also contributes to research on LMIs’ role in the projectification of work.

This paper investigates how individuals' decision-making approach and perceptions of a game's cognitive realism affect the performance of virtual businesses in a web-based simulation game.

Survey data are collected from 274 business simulation game users and is analysed using the fsQCA technique.

The study identifies three alternative pathways to high and low performance in a business simulation game. Results indicate that a flexible decision-making approach exists in all high performance pathway solutions. Where a game is perceived to be realistic, a more focused decision-making approach is associated with high performance. However, where perceived cognitive realism is absent, a less focused experimental decision-making approach is employed, which increases the chances to achieve low performance. Finally, perceived cognitive realism and an experimental decision-making approach are found to be mutually exclusive for achieving high performance.

Whilst the learning benefits of web-based simulation games are widely acknowledged, the complex interplay amongst factors affecting performance in games is under-researched. Limited research exists on how perceptions of a game's cognitive realism interact with user decision-making approaches to affect performance.