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Asynchronous Video Interviews (AVIs) incorporating Artificial Intelligence (AI)-assisted assessment has become popular as a pre-employment screening method. The extent to which applicants engage in deceptive impression management (IM) behaviors during these interviews remains uncertain. Furthermore, the accuracy of human detection in identifying such deceptive IM behaviors is limited. This study seeks to explore differences in deceptive IM behaviors by applicants across video interview modes (AVIs vs Synchronous Video Interviews (SVIs)) and the use of AI-assisted assessment (AI vs non-AI). The study also investigates if video interview modes affect human interviewers' ability to detect deceptive IM behaviors.

The authors conducted a field study with four conditions based on two critical factors: the synchrony of video interviews (AVI vs SVI) and the presence of AI-assisted assessment (AI vs Non-AI): Non-AI-assisted AVIs, AI-assisted AVIs, Non-AI-assisted SVIs and AI-assisted SVIs. The study involved 144 pairs of interviewees and interviewers/assessors. To assess applicants' deceptive IM behaviors, the authors employed a combination of interviewee self-reports and interviewer perceptions.

The results indicate that AVIs elicited fewer instances of deceptive IM behaviors across all dimensions when compared to SVIs. Furthermore, using AI-assisted assessment in both video interview modes resulted in less extensive image creation than non-AI settings. However, the study revealed that human interviewers had difficulties detecting deceptive IM behaviors regardless of the mode used, except for extensive faking in AVIs.

The study is the first to address the call for research on the impact of video interview modes and AI on interviewee faking and interviewer accuracy. This research enhances the authors’ understanding of the practical implications associated with the use of different video interview modes and AI algorithms in the pre-employment screening process. The study contributes to the existing literature by refining the theoretical model of faking likelihood in employment interviews according to media richness theory and the model of volitional rating behavior based on expectancy theory in the context of AVIs and AI-assisted assessment.

This study examines the challenges and successes of implementing and sustaining lesson study (LS) as an approach to in-service teacher professional development (PD) in primary schools in Portugal and England, highlighting the impact of institutional contexts.

Two schools that used LS as an approach to PD over a period of at least three years were identified. The theoretical framework of institutionalism guided the methodology and analysis of findings, seeking to explore relationships between institutionalised PD practices at national and school level, and how interactions between actors in schools helped or hindered the institutionalism of LS. The qualitative case studies included document analysis, observations of LS practices and interviews with teachers and leaders engaging in LS.

The findings reveal the importance of institutional entrepreneurs, who create a narrative to support LS, allocate resources to enable it and create a “relational space”, in which it can be tested and tweaked before sharing with others in the school. An institutional entrepreneur is particularly vital when national regulatory frameworks prescribe specific PD types that are not conducive to LS (such as in Portugal). However, even in more open frameworks, the entrepreneur needs to frame the LS model to fit institutionalised expectations.

This study, with its analysis of strategies that support sustained use of LS in schools, advances the growing field of LS research. This field of research is moving its focus from short-term LS projects that concentrate on immediate impact on teachers and students, to a sustainable approach that uses LS for in-service, school-based teacher PD, a practice with a long history in Japan.

This paper empirically addresses the effect of coercive, normative and mimetic pressures on sustainability results, focussing on the three dimensions of the triple bottom line approach: environmental, economic and social. The mediating role of compliance, analyser or proactive corporate strategies towards sustainability is also considered.

The hypotheses developed in this study were tested using data from a sample of private companies from two industries: manufacture of chemicals and chemical products, and manufacture of basic metals.

The results confirm the role played by institutional pressures for sustainability in explaining the involvement of organisations in economic, social and environmental aspects. The mediating effect of corporate strategy is also confirmed, although only for environmental aspects.

Research into sustainability development is evolving rapidly; however, few studies have explored its diffusion amongst organisations from a triple bottom line perspective by considering the role of different current external pressures, the corporate strategy and the diverse results.

本研究擬對強制壓力、規範壓力和模仿壓力對可持續性成果的影響進行實證研究。研究的焦點放在三重底線法的三個層面上,即是環境層面、經濟層面和社會層面。研究人員亦探討尋求可持續性的承諾、分析儀和積極主動的公司戰略的中介作用。

研究人員測試其建立的各項假設; 使用的數據取自兩個企業的私人公司的樣本,它們是製造化學品和化學產品的企業,以及製造基本金屬的企業。

研究結果確認了尋求可持續性所帶來的制度壓力,在解說企業於經濟、社會和環境三方面的參與上所扮演的角色。研究結果亦確認了公司戰略的中介作用,唯這只見於環境的層面上。

探討可持續性發展的學術研究發展迅速,唯當中較少從三個基本的角度去探討可持續性發展在組織內的傳播; 本研究考慮了目前各種外來壓力、公司戰略和不同的結果所扮演的角色,以彌補這研究差距。

The aim of this research is to gain insight into the emotional impact and cognitive evaluations that these applications have on users from their own perspective.

Sentiment analysis methodology is used to analyze users’ comments and ratings, assess perceived benefits and determine the emotional impact these applications have on them.

The results suggest a benefit for happiness scholars, professionals, users and organizations focused on employee well-being and provide valuable insights into the evolving landscape of happiness applications. While the study relies on publicly available user data, it complements, but does not replace, market research or product evaluation conducted by app developers and companies.

Among the myriad channels disseminating the assumption that the good life is attainable through personal means and psychological know-how, smartphone applications have emerged as accessible, cost-effective and attractive tools to help users become happier and alleviate feelings of distress and discomfort.

This study explores the role of human resource management (HRM) practices in advancing sustainable development goals (SDGs) within emerging markets. Specifically, we examine how HRM practices in financial institutions in the emerging markets of India and China promote SDGs 8 (decent work and economic growth), 10 (reduced inequalities) and 13 (climate action). We also propose a framework integrating these key SDG goals with core HRM functions.

Secondary data analysis was employed using data from sustainability reports of the top five Indian and Chinese banks listed in Forbes – the Global (2000) ranking for 2022–2023. These sustainability reports were analysed based on their reporting of indicators from the Global Reporting Initiative GRI 400 series, aligned with the SDGs 8, 10 and 13.

The result of the comparative analysis indicates that both Indian and Chinese banks use HRM practices of recruitment and selection, rewards and payments, workplace health and safety, and training and development to meet SDGs 8 (decent work and economic growth), 10 (reduced inequalities) and 13 (climate action). Regarding the reporting and disclosure of HRM practices in diversity, equity and inclusion, Indian banks outperform Chinese banks, and these practices contribute significantly to SDGs 8, 10 and 13. The dominance of state-owned initiatives in China dictates the alignment of HRM strategies with economic priorities at the national level, highlighting the challenge of balancing global sustainability initiatives with a centralised management system.

The study provides a comprehensive examination of sustainability reports with a specific focus on HRM practices and their role in advancing SDGs. It applies institutional theory to understand the differences in the reporting and implementation of HRM practices that contribute to the achievement of SDGs.

This study uses meta-analysis to examine the relationship between corporate sustainability reporting (CSR) and stock price crash risk (SPCR) and to discern the moderating effects of country-level institutional quality and cultural dimensions on this link.

The study used mean correlation coefficients to test the relationship between CSR and SPCR and meta-regressions to test the moderating effects. The analysis considers 65 effect sizes from 24 empirical studies.

The results showed that CSR reduces the chances of SPCR. The inverse relationship between CSR and SPCR is stronger in masculine, high power distance and long-term oriented cultures and is less pronounced in individualistic, uncertainty avoidance and indulgent cultures. The inverse relationship is also stronger in countries where high-quality institutions exist.

This study is based on correlation coefficient analysis and excludes studies publishing only regression results. Furthermore, it provides guidance to lessen SPCR. Findings suggest that such initiatives may mitigate the risk of stock price crashes for firms. Through meta-analysis, this research investigates the correlation between environmental, social and governance (ESG) disclosure and stock price crash occurrences, offering insights with significant implications for the European financial landscape and globally.

This is a pioneer meta-analysis that investigates the link between CSR and SPCR and the moderating effects of country-level institutional quality and cultural dimensions. Our study sheds light on the potential impact of promoting a sustainable and responsible business environment in Europe through comprehensive ESG disclosure under the Corporate Sustainability Reporting Directive (CSRD).

Recognising the value of sustaining virtuous values in family business across generations, this paper aims to provide a conceptual framework and propose a mediated-moderated mechanism through which family members’ traits, such as family size and parenting style, influence the extent to which family business’s virtuous values transfer across generations.

The paper is based on systematic literature that was conducted using specific keyword searches in the business source databases of Emerald, ProQuest, ScienceDirect, EBSCOhost and SpringerLink.

This paper leads to a conceptual framework proposing a mediating relationship between family members’ traits and the transfer of virtuous values to the next generation. Further, two parallel mediators are proposed, moderated by traits of family members’ offspring, such as the age gap and gender of offspring.

This paper proposes a conceptual framework focusing on transferring virtuous values across generations in the family business. It investigates family members’ traits, such as the size of the family and parenting style, to comprehend the family members’ traits and the transfer of virtuous values relationship.

The proposed conceptual framework should form the basis of interventions adopted by family business members to enhance the transfer to virtuous values across generations by positively impacting their moral self-efficacy and affective commitment to virtuous values.

Prior research on family businesses has primarily explored transgenerational succession. However, sustaining virtuous values across generations is equally important to retain a business’s legacy. Very limited scholarly attention has focused on these virtuous values in family business.

This paper aims to clarify how business education has and should incorporate more resources, policies and stakeholder engagement towards the incorporation of sustainability, by conducting a literature review on sustainability in business and international business education and proposing future opportunities for researchers and practitioners.

The authors take a systematic, qualitative analysis approach to evaluate multidisciplinary literatures on sustainability in business education. The authors identify 192 qualifying papers published in 68 journals between 2015 and 2023.

The authors propose five categories of education solutions. Four of them are integrated, in two macro–micro levels: university (stakeholders and shared-mindset change) and student (pedagogical methods and curriculum); and one at meso level: international business (holistic integration) serving to unify the university and student levels.

The review highlights the value of applying a holistic approach and interdisciplinary pedagogical methods in future research on sustainability education in business school to effectively prepare future business leaders to contribute to a more sustainable future.

Insights from this review can usefully guide scholars and programme directors in their future research and administrative efforts towards business curriculum design, stakeholder management and policy-making.

The findings highlight how by embracing holistic perspectives, proper policies and self-awareness, business education shapes the mindsets and skill sets of the next generation of socially conscious practitioners.

The review stands out as one of the few that offers a forward-looking trajectory for the adaptation of international business education in response to sustainability challenges, through a holistic perspective.

This paper aims to examine the impact of board gender diversity (BOGD) following the adoption of gender quota legislation on earnings management (EM) in an emerging market, Egypt, whose cultural and economic conditions and institutional context are unlike most previously studied countries’ context.

The authors use ordinary least squares (OLS) regression to estimate the impact of gender quota legislation on EM using data from listed companies in Egypt from 2015 to 2022. Difference-in-difference (DID) approach estimation was used to validate the robustness of the main results.

This paper documents that gender diversity on boards has a significantly negative impact on EM. In addition, this paper provides robust evidence using the DID approach to show that BOGD is significantly negatively linked with EM for the period following gender quota legislation. Furthermore, the results support the critical mass and agency theories.

The findings of this study have important implications for Egyptian companies, regulatory bodies and investors in emerging markets. Specifically, these results suggest that when choosing board members, enterprises should pay particular attention to BOGD, and female involvement in all listed firms should be monitored by regulators.

This paper provides evidence supporting the positive contribution of women in society by enhancing the economic performance of Egyptian firms and promoting the country’s sustainable development strategy in light of Egypt vision 2030.

As per the authors' knowledge, this empirical study is unique in investigating the impact of BOGD quota regulation on EM in Egypt. This paper contributes to BOGD as a major factor in improving financial reporting quality in Egyptian companies.

Community health workers (CHWs) are vital to addressing public health system limitations in developing countries. However, effective identification and support of underperforming CHWs remains a challenge. This study develops a predictive model to proactively identify underperforming CHWs, facilitating targeted interventions for improved CHW programmes.

We developed a predictive model to identify underperforming CHWs in Uttar Pradesh, India. Data from 140,101 CHWs over a 12-month period was used to build, test and validate the model. Classification techniques, ensemble modeling and a model tuning algorithm were employed for accuracy optimization and early identification.

Logistic regression, decision trees and random forests yielded the best performance. While ensemble models offered no significant performance improvements over the base models, the model tuning algorithm effectively increased prediction accuracy by 19 percentage points. This enabled early identification of poor-performing CHWs and high-risk CHW clusters early in the year.

The developed model has significant potential to improve CHW programmes. It enables targeted support, feedback and resource allocation, leading to enhanced CHW performance, motivation and healthcare outcomes in the communities they serve. The model can provide personalised feedback to help CHWs overcome challenges and dynamic clustering facilitates proactive identification and tailored support for those at risk of underperformance.

This study is the first attempt to use predictive modelling to identify underperforming CHWs, advancing the nascent field of CHW performance analytics. It underscores the effectiveness of digital technologies and data in improving CHW programmes.