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This paper aims to address the concern that humans are experiencing unprecedented, rapidly changing conditions, in part exacerbated by a recent pandemic, digitization and ongoing wartime.

A paper that seeks to address what the authors are calling the “Educational Malaise”. The authors achieve this through a conceptual and theoretical exploration of the social nature of human beings and learning in the context of readings of human nature, and moral and rational powers.

It is proposed that education should be designed to empower learners to meet the demands of rapidly changing conditions. The ability to adapt is of primary importance for meeting the demands of the changing world, and the “Self-Directed Flourishing” meta-framework can help educators to meet this challenge.

Using conceptual and theoretical lenses, in this paper, the authors identify some core problems with traditional pedagogies in formal education and advance a person-centred, humanistic approach to pedagogy. The authors advocate for a new meta-framework for educators: “Self-Directed Flourishing”. The authors propose placing co-creation, courage and conceptual insight at the heart of educational policies and practices, which the authors suggest will nurture a dynamic, adaptable and ethical microculture for human flourishing in 21st-century education and beyond.

Integrating social comparison and social identity theories, this study aims to examine students’ emotional and behavioral responses to the use of ChatGPT in academic settings, focusing on intrinsic motivation, dissonance, envy, schadenfreude and artificial intelligence (AI) usage intentions.

The research design consisted of two sequential survey-based studies with undergraduate business students. Study 1, analyzed with SmartPLS, measured students’ intrinsic motivation, cognitive engagement, dispositional envy, emotional dissonance and schadenfreude experienced in response to academic dishonesty related to ChatGPT. Study 2 explored the motivations behind students’ future use of AI tools, examining ethical considerations and emotional responses.

Study 1 determined that higher levels of cognitive engagement reduce dissonance and envy among highly motivated students. Nevertheless, driven by cognitive engagement, dissonance and envy, it was established that highly motivated students experience schadenfreude when others are caught misusing ChatGPT. In contrast, low-motivated students only feel schadenfreude as a product of dissonance and envy. The focus of Study 2 was on the adoption of ChatGPT. Results indicate that future usage is driven by ethical considerations for highly motivated students, whereas less dissonance is key for low-motivated students.

The study’s originality lies in its exploration of schadenfreude in the context of AI use among students, highlighting how cognitive engagement and motivation influence emotional responses. Drawing on social comparison and social identity theories, it sheds new light on the dynamics of academic integrity and the emotional landscape surrounding AI tools like ChatGPT, thus filling a research gap in understanding student behavior and perceptions in higher education.

This study aims to investigate the nuanced relationships between protean career attitudes, job crafting and turnover intentions, shedding light on the mediating role of job crafting and the conditional influence of intrinsic career motivation.

A survey was conducted with 406 full-time Thai employees and analyzed structural equation modeling to test the hypotheses and PROCESS Macro 4.0.

Protean career attitudes were found to have a positive relationship with job crafting, which suppress employees’ intention to quit the current job. Job crafting fully mediates the relationship between protean career attitudes and turnover intention. Moreover, intrinsic motivation strengthens the effect of protean career attitudes on job crafting.

This study emphasizes the managerial benefits of fostering adaptable career attitudes, encouraging job crafting and improving productivity, which positively impacts both individuals and the organization.

This study significantly enriches the existing literature by integrating the frameworks of protean career attitude and turnover intention through the lens of job crafting and self-determination theories, offering valuable insights for both academia and industry.

This study aims to conduct a systematic literature review on the Broaden-and-Build theory (BBT) in marketing to consolidate its applications, examine its impact on consumer behavior and outline directions for future research.

Using the theory, context, characteristics, methodology framework, the authors analyzed 75 peer-reviewed articles from Scopus spanning 2000–2023. This review categorizes BBT’s integration in marketing, examining methodological trends, variable relationships and domain applications to reveal current research gaps.

Results indicate a growing integration of BBT in consumer behavior research, identifying six key application categories (e.g. brand loyalty and digital engagement) and eight recurring themes (e.g. cognitive broadening and resource-building). The findings show that, although BBT’s focus on positive emotions is established in traditional marketing, gaps remain in digital marketing, sales and tourism/hospitality, especially regarding BBT’s unique cognitive and resource-building effects on consumer engagement.

This review’s focus on English-language, peer-reviewed sources may limit comprehensiveness.

This study offers actionable strategies for marketers to apply BBT, suggesting the design of emotionally resonant campaigns that enhance digital engagement, foster brand loyalty and maximize consumer well-being.

This paper maps BBT’s underexplored domains in marketing, emphasizing its theoretical and practical applications. It uncovers the relationship between positive emotions and consumer engagement, demonstrating how BBT can inform effective marketing strategies in areas such as digital engagement and brand loyalty, thus offering a roadmap for future research.

The Q method is an inherently mixed-method approach suitable for tackling issues regarding theory, conceptualization and operationalization in the social sciences. Nevertheless, the application of this method in organizational behavior (OB) studies is still limited. This paper aims to delineate to what extent, regarding what topics, and in what ways the Q method has been applied in OB studies. Moreover, it aims to systematically explore the strengths and weaknesses of this method for the OB field.

We present a systematic literature review of 47 studies employing the Q method in OB research.

There is an upward trend in the application of Q in OB research. The studies in our sample address the following OB topics: Human resource management (HRM) (14), leadership (10), group decision-making (6), collaboration (4), culture (9) and organizational change and development (4). We describe how Q is used in a wide variety of ways.

This study shows how performance-oriented organizations can benefit from the Q method as a managerial diagnostic and intervention tool in organizational change and development and in human resources management.

To the best of the authors’ knowledge, this is the first systematic literature review on the Q method that spans the field of organizational behavior across topics and research levels, including the individual, team and organizational levels.

The study aims to explore the complexities and challenges of measuring social impact, with a particular emphasis on the practical application of the social return on investment (SROI) methodology. By investigating social enterprises in Georgia, the study seeks to understand how social value is quantified and the implications of such measurements for policy and practice.

This study uses a mixed-methods approach, centered on the SROI methodology, to measure the social impact of 11 social enterprises in the Republic of Georgia. It incorporates qualitative interviews and quantitative financial analysis, engaging stakeholders from enterprises, beneficiaries and local authorities. The methodology adapts SROI to the Georgian context, addressing challenges such as data scarcity and cultural sensitivity.

Findings reveal significant challenges in social impact measurement, including the complexity of quantifying diverse impacts, lack of standardized methodologies and resource constraints. The application of SROI in Georgia demonstrates its flexibility and the critical role of stakeholder engagement, yet underscores the need for context-specific adaptations and rigorous data collection.

The study is limited by its geographic focus on Georgia, which may affect the generalizability of findings. In addition, the reliance on stakeholder-reported data introduces potential biases. These limitations highlight the necessity for broader, cross-cultural studies and methodological advancements in social impact measurement.

The study offers practical insights for organizations implementing SROI, emphasizing the importance of stakeholder engagement, cultural sensitivity and adapting methodologies to local contexts. It suggests strategies for overcoming data limitations and enhancing the credibility of social impact assessments.

The research underscores the transformative potential of social enterprises in addressing societal challenges. By quantifying social impact, organizations can better articulate their contributions to societal well-being, informing policy decisions and fostering a culture that values social over mere economic returns.

This study contributes to the literature on social impact measurement by detailing the application of SROI in a novel context – Georgia. It addresses a significant gap in understanding how social impact can be measured in transitional economies and offers valuable insights into the methodological and practical challenges involved.

The purpose of this study is to examine the nonlinear relationship between financial constraints and the chief executive officer (CEO) stock options compensation and to analyze whether the impact of financial constraints on the CEO stock options compensation changes at certain level of financial constraints or not.

This study is based on a sample of 90 French firms for the period extending from 2008 to 2019. To deal with the non-linearity, the authors use a panel threshold method.

Using different measures of financial constraints [KZ index (Baker et al., 2003), SA index (Hadlock and Pierce, 2010) and FCP index (Schauer et al., 2019)], the results reveal that the impact of the financial constraints (SA index and FCP index) is positive below the threshold value and it becomes negative above.

The non-linearity between financial constraints and CEO stock options shows that the level of financial constraints can be a major determinant of the CEO compensation structure. More specifically, this study sheds light on the key role played by the level of financial constraints and how this latter influence management decisions.

This paper is the first to the best of the authors' knowledge to examine the nonlinear relationship between financial constraints and the CEO stock options compensation using a panel threshold model.

Delay in housing adaptation is a major problem, especially in assessing if homes are suitable for the occupants and in determining if the occupants are qualified for the Disabled Facilities Grant (DFG). This paper describes the development of two self-administered intelligent integrated assessment tools from the DFG Adapt-ABLE system: (1) The Home Suitability Assessment Platform, which is a preventive mechanism that allows assessment of the suitability of homes based on occupants’ mobility status and (2) an indicative assessment platform that determines if the applicants are qualified for the DFG to prevent lengthy delays.

The adopted method aligned with a development study approach: a grounded literature review, a severity measurement approach, two stakeholder engagement workshops, four brainstorming sessions and four focus group exercises. The system development relied on Entity–Relationship Diagram (ERD) technique for data structures and database systems design. It uses DFG context sensitivity with alignment with DFG guidance, interlinkages and interoperability between the assessment tools and other platforms of the integrated Adapt-ABLE system.

The assessment tools are client-level outcomes related to accessibility, usability and activity based on the assessment process. The home suitability platform shows the percentage of the suitability of a home with assessment results that suggest appropriate action plans based on individual mobility status. The indicative assessment combines the function of referral, allocation, assessment and test of resources into an integrated platform. This enables timely assessment, decision-making and case-escalation by Occupational Therapists based on needs criteria and the eligibility threshold.

These assessment tools are useful for understanding occupants’ perception of their physical housing environment in terms of accessibility, suitability and usability based on basic activities of daily living and their mobility status. The indicative self-assessment tool will substantially cut down the application journey. The developed tools have been recommended for use in the CSJ Disability Commission report and the UK government Guidance on DFGs for local authorities in England.

Entrepreneurial universities, through their intellectual capital (IC), can promote the development of a third mission, which involves collaborating with business and societal organizations to create value. Joint research projects are undertaken within entrepreneurial universities leveraging their IC. These generate value for both the academic community and the territory as they generate impact, in terms of regional IC. At the micro level, scientists in the principal investigator (PI) role are influential actors in generating impact and IC that is beneficial for all joint project stakeholders. The purpose of the paper is to address the existing gap in entrepreneurial university literature concerning the impact generation process.

The paper represents a theoretical contribution adopting a deductive approach.

This paper proposes a novel approach to support PIs in entrepreneurial universities in the process of managing innovative initiatives toward IC impact generation. First, we present the IC-based Research Impact Tool (ICRIT) to guide PIs acting as explorative entrepreneurs; then we propose an IC-based Research Impact Report (ICRIR) including some key performance indicators (KPIs) to evaluate impact and IC.

The theoretical approach proposed could be developed further. This could be furthered through more empirical studies using initially, for example, comparative cross-country case study research.

The paper sheds new light on the importance of the final impact generated by research initiatives, focusing on the crucial role played by PIs and promoting the adoption of an IC-based strategic approach, to maximize the final impact of projects, in terms of regional IC.

Dual design for additive manufacturing (DfAM) takes into account both the opportunities and constraints of AM simultaneously, which research shows is more effective than considering them separately. Unlike existing reviews, this paper aims to map DfAM research within the engineering design process, focusing solely on studies adopting dual DfAM. Additionally, it aims to suggest future research directions by analysing prominent research themes and their inter-relationships. Special emphasis is on theme inter-relationships concerning the conceptual, embodiment and detail design phases.

The study is based on a systematic literature review of 148 publications from January 2000 to February 2024. After screening, prominent research themes were identified and systematically analysed. Theme inter-relationships were explored using quantitative analysis and chord diagrams.

The findings reveal that studies either span the entire design process, the early design phases or the later design phases. Most research focuses on the later design phases, particularly within themes of design optimisation, design evaluation and AM-specific manufacturing constraints. The most frequent theme inter-relationship occurs between design optimisation and AM-specific manufacturing constraints. Overall, the findings suggest future research directions to advance dual DfAM research, such as development of design rules and guidelines for cellular structures.

This review proposes a model by mapping prominent themes of dual DfAM research in relation to the engineering design process. Another original contribution lies in analysing theme inter-relationships and visualising them using chord diagrams – a novel approach that did not exist before.