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“Quiet quitting” emerged as a term in the US during the COVID-19 pandemic and has since gained immense popularity worldwide, working its way into common usage. However, disagreement exists over the term’s meaning and utility. Our paper critically considers the value of the construct of quiet quitting, proposing an initial operationalization of its properties.

We develop hypotheses related to the antecedents, characteristics and consequences of quiet quitting through a literature review and subsequent survey. The questionnaire was distributed to working professionals in Europe and assessed through multiple partial least squares analyses.

We propose quiet quitting as a coping strategy involving a combination of reduced effort, disengagement, disassociation and boundary-setting. 108 responses obtained through a survey of knowledge workers provide some support that these existing concepts indeed form a second-order construct with emergent properties not found when assessed individually. However, we suggest that the utility of quiet quitting as a distinct coping strategy is questionable and that generally, it is more useful to discuss its subcomponents separately.

While limited by its cross-sectional nature, this work raises several potentially fruitful future lines of research and offers a first step in evaluating a relatively new term that is of substantial relevance to management scholarship and practice.

New concepts stemming from popular literature can be problematic, grounded in untested folk theory and riddled with ambiguity. At the same time, they can stretch our thinking and drive research in new directions if they can be sufficiently refined. We offer a new conceptualization of quiet quitting but question its usefulness.

People experiencing homelessness often have multiple health and other support needs, requiring complex, coordinated support. Admission to hospital is potentially an opportunity to address these needs and begin integrating care, but so often it is a missed one. Our purpose in this research was to evaluate an ongoing, roll-out programme that offered government funding to 17 “test sites” across England to develop integrated care as part of post-discharge “step-down” support. In this paper, we examine senior stakeholder experiences of seeking to implement integrated care as part of specialist step-down care.

In this paper, we focus on data collected in interviews with key stakeholders (N = 10) who managed the mobilisation of local out of hospital care models for people experiencing homelessness. Interviews were conducted and analysed from a relational perspective, that is focusing on relationships between interactants, through which, for example, identities, understanding and integrating practice emerge.

A relational perspective on the data provides insights to better understand the complexity of integrating care at the point of hospital discharge for people experiencing homelessness.

Although in depth, the data were limited to certain perspectives on the issues. Other perspectives and data collection from in-depth study of case sites would be invaluable in developing the empirical evidence base for a relational understanding of integrating care.

A relational perspective highlights the emergent and ongoing nature of integrating care in this context of support for people experiencing homelessness. The need for different system agents to work to be constantly enacting the desired support is crucial to understanding future system changes for integrating care.

This is the first paper developing a relational analysis of integrating care. It highlights a different theoretical perspective on the issues and important insights.

Whenever social injustice tackled by social movements receives heightened media attention, charitable crowdfunding platforms offer an opportunity to proactively advocate for equality by donating money to affected people. This research examines how the Black Lives Matter movement and the associated social protest cycle after the death of George Floyd have influenced donation behavior for campaigns with a personal goal and those with a societal goal supporting the black community.

This paper follows a quantitative research approach by applying a quasi-experimental research design on a GoFundMe dataset. In total, 67,905 campaigns and 1,362,499 individual donations were analyzed.

We uncover a rise in donations for campaigns supporting the black community, which lasts substantially longer for campaigns with a societal than with a personal funding goal. Informed by construal level theory, we attribute this heterogeneity to changes in the level of abstractness of the problems that social movements aim to tackle.

This research advances the knowledge of individual donation behavior in charitable crowdfunding. Our results highlight the important role that charitable crowdfunding campaigns play in promoting social justice and anti-discrimination as part of social protest cycles.

Research generally believes that both corporate venture capital (CVC) and independent venture capital (IVC) promote the innovation value of entrepreneurial ventures, but their roles in innovation risk remain unclear. To reveal the bright and dark sides of CVC and IVC, we compare their influence on innovation performance and performance variability of entrepreneurial ventures as well as their interaction effects with innovation assets through physical and intellectual assets.

This study uses a panel dataset consisting of 630 high-tech ventures and the Heckman selection model to test the hypotheses and correct the endogenous problems.

We find that CVC improves the innovation performance of entrepreneurial ventures but at the cost of increasing their performance variability, whereas IVC is the opposite. We also find the combination effect of external and internal capital of entrepreneurial ventures. CVC and IVC complement intellectual assets to enhance innovation performance and dance with physical assets to reduce variability.

We use a value-risk dyadic perspective to reveal the bright side and dark side of CVC and IVC. We unveil the interplay mechanism between internal and external capital of entrepreneurial ventures and develop some kinds of capital configuration strategies to balance innovation value and risk.

With its presence, which can create inefficiencies, uncertainties and risks, information asymmetry poses a significant challenge to successfully managing the agri-food supply chain (AFSC). Understanding the variables that influence information asymmetry is crucial for devising more effective strategies to mitigate it. This study, therefore, explores the variables that influence information asymmetry in the AFSC.

A qualitative analysis was conducted, relying on semi-structured interviews with 17 experts representing different actors in the AFSC (e.g. seed producers, retailers, etc.) in Germany. The collected data was analysed using the GABEK® method.

The study confirms that the influencing variables derived from the existing theory, such as price performance, digitalisation, environmental, process and quality measures, contribute to information asymmetry. It further reveals new variables that associate with information asymmetry, including documentation requirements, increasing regulation, consumer behaviour, incorrect data within the company as well as crises, political conflicts and supplier–buyer conflicts. Furthermore, the study shows that supply chain actors counteract asymmetry by focusing on social behaviour and monitoring suppliers through key performance indicators, employees and social aspects.

The study was limited to the universal influence of the variables on information asymmetry in the AFSC, making the magnitude of the influence and its context-specific nature unexplained.

This study is one of the very few that examines information asymmetry across the AFSC from the perspective of different actors, providing a more overarching and deeper understanding of information asymmetry.

This study has three objectives: (i) to examine whether using a Big 4 auditor reduces loan interest rates; (ii) to analyze how loan interest rates differ between smaller firms, which face more acute asymmetric information problems, and larger firms; and (iii) to investigate whether the negative relationship between Big 4 auditors and loan interest rates is a function of client size.

The sample comprises all publicly traded nonfinancial companies listed on the Saudi Stock Exchange from 2007 to 2020. Pooled ordinary least squares (OLS) regression tests the hypothesized relationship between the dependent and independent variables.

The study offers three notable findings. First, borrowers audited by Big 4 auditors receive significantly lower interest rates than those audited by non-Big 4 auditors. Second, banks offer lower interest rates to larger firms (i.e. firms with fewer informational problems) than to smaller ones. Third, no conclusive evidence exists that the beneficial effects of Big 4 auditors (in terms of reduced interest rates) differ significantly between larger and smaller firms. This finding is attributable to the idea that Big 4 auditors do not report more favorably for larger clients or more conservatively for smaller clients. The results remain robust, even after addressing the endogeneity arising from auditor self-selection bias, which is validated by the results of two econometric tests: Heckman’s two-stage procedure and propensity score matching.

To the best of the author’s knowledge, this study is the first to examine the relationship between auditor size and bank loan contracting in Saudi Arabia.

This paper describes a model of “Learning to care” derived from a study exploring how care workers in care homes learn to care for people living with dementia. The “Learning to care” model is primarily informal in nature in which influences such as formalised training and organisational culture impact care outcomes indirectly rather than directly.

This study used a focused, critical ethnographic approach in two care homes in England resulting in 63 h of observation of care of people living with advanced dementia, 15 semi-structured interviews and 90 in-situ ethnographic interviews with care staff.

The findings reveal a three-level model of learning to care. At the level of day-to-day interactions is a mechanism for learning that is wholly informal and follows the maxim “What Works is What Matters”. Workers draw on resources and information within this process derived from their personal experiences, resident influences and care home cultural knowledge. Cultural knowledge is created through a worker’s interactions with colleagues and the training they receive, meaning that these organisational level influences affect care practice only indirectly via the “What Works is What Matters” mechanism.

This study makes an original contribution by explaining the nature of day-to-day informal learning processes as experienced by care workers and those living with dementia in care homes. In particular, it illuminates the specific mechanisms by which organisational culture has an effect on care practice and the limitations of formal training in influencing such practice.

The COVID-19 pandemic and the war in Ukraine have posed profound challenges to social enterprises and public sector organizations engaged in social service delivery in Slovakia and the Czech Republic. This study examines the resilience strategies employed by these organizations and seeks to discern any notable divergences between social enterprises and public sector entities.

We employ a qualitative approach, utilizing semi-structured interviews with key personnel across 28 organizations within the Czech and Slovak Republics, comprising both social enterprises and public sector bodies.

Our findings reveal a consistent pattern: social enterprises primarily utilize offensive strategies, such as seeking new resources, exploring new markets and innovating products or services. In contrast, public sector organizations tend to rely on defensive strategies, focusing on streamlining operations, reducing expenses and supporting staff.

This study addresses a gap in scholarly understanding of how recent crises, including COVID-19 and the war in Ukraine, have impacted management practices in the public and nonprofit sectors across Central and Eastern Europe.

The set of 2,509 documents related to the human-centric aspect of manufacturing were retrieved from Scopus database and systmatically analyzed. Using an unsupervised machine learning approach based on Latent Dirichlet Allocation we were able to identify latent topics related to human-centric aspect of Industry 5.0.

This study aims to create a scientific map of the human-centric aspect of manufacturing and thus provide a systematic framework for further research development of Industry 5.0.

In this study a 140 unique research topics were identified, 19 of which had sufficient research impact and research interest so that we could mark them as the most significant. In addition to the most significant topics, this study contains a detailed analysis of their development and points out their connections.

Industry 5.0 has three pillars – human-centric, sustainable, and resilient. The sustainable and resilient aspect of manufacturing has been the subject of many studies in the past. The human-centric aspect of such a systematic description and deep analysis of latent topics is currently just passing through.

The research aims to provide empirical evidence on the relationship between financial statement comparability (FSC) and cost of equity (COE) in an emerging market.

Specifically, this study examines the relationship between FSC and COE of Vietnamese listed firms. The research uses the System Generalized Method of Moments regression techniques for a panel data set of 454 companies for the period 2015–2022.

The authors find that firms with high comparability of financial statements have lower COE. To confirm the research findings, the authors conduct the robustness test by using different proxies for the cost of equity. Consistent results are found.

The study contributes to the overall understanding of the relationship between FSC and COE, and suggests policy implications for relevant stakeholders such as managers, regulatory bodies and investors. Especially, regarding policymakers, this study could provide more insight into how the accounting convergence process impacts the effectiveness of a firm’s capital allocation.