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Board diversity has been a hotly debated topic in the field of corporate governance. The paper examines the role of board chairperson and its moderating effect on the relationship between job-related diversity and boards’ strategic tasks performance. The purpose of this paper is to add on our body of knowledge about the impact of job-related diversity on boards’ strategic tasks performance.

The paper applies the structural equation modeling (SEM) technique to examine survey responses from chief executive officers (CEOs). Both the measurement model and structural model have obtained good results, supporting the appropriateness of using the SEM approach.

The findings suggest that there is a positive association between job-related diversity and boards’ strategic tasks performance, which is moderated by a chairperson’s leadership efficacy and the option of a former-CEO as board chair.

To achieve the intended effect of job-related diversity in boards, policymakers need to be mindful about the importance of the board chairperson. Board chairperson’s characteristics such as leadership efficacy and a former-CEO experience would amplify the positive effect of diversity.

This research paper contributes to the literature on board diversity, board leadership and strategic management of firms. Findings validated researchers’ concern about the negligence of examining moderating factors in board diversity research. Moreover, results echo the concern that board leadership research should shift the attention from structural aspects to the behavioral issues. Finally, this study is the first to show the positive influence of a board chairperson in disseminating benefits of a diverse board.

The internet is initially hailed as the future of recruitment and is expected to replace other media as the preferred recruitment method, but the adoption of online recruitment has not been as comprehensively predicted. In addition, empirical research regarding online recruitment from an organisational perspective is sparse. This paper aims to examine the reasons behind an organisation's decision to use online recruitment, and reports on the development of a model of the factors affecting the adoption of this recruitment method.

The paper uses in‐depth interviews and a survey of human resource (HR) managers with recruitment responsibility. The factors that affect the adoption of online recruitment are explored, and related to Rogers's diffusion of innovation theory (DIT) and Ajzen's theory of planned behaviour (TPB).

Factors related to the adoption of corporate web sites and commercial jobs boards are found to be different, with positive beliefs/relative advantage, subjective norms and negative beliefs emerging in the case of corporate web sites and positive beliefs/relative advantage and compatibility for jobs boards. These results provide some fit with both Ajzen's and Rogers' factors.

This paper addresses an important area that is under‐researched academically and provides a basis for further research into how organisations may adopt online recruitment successfully.

The purpose of this paper is to explore whether single and married female job candidates’ un/employment histories differentially affect their chances of obtaining interviews through China’s internet job boards, and to consider whether firms’ discrimination against, and/or preference for, candidates who are un/employed vary with the duration of unemployment spells.

Resumes of fictitious applicants are carefully crafted in terms of realistic work histories and educational backgrounds. Candidates’ experiences of unemployment and the revelation of their marital status are controlled. Over 7,000 applications are submitted to real job postings. Callbacks are carefully tracked and recorded. Linear probability models are employed to assess the roles of particular characteristics.

The marital status of female candidates affects how recruiters screen their applications. While current spells of unemployment, whether short or long term, significantly reduce married women’s chances of obtaining job interviews in the Chinese context, they strongly increase the likelihood that single women will be invited for interviews. Chinese firms appear to “forgive” long-term gaps in women’s employment histories as long as those gaps are followed by subsequent employment.

This paper is the first to explore how marital status affects the ways that firms, when hiring, interpret spells of unemployment in candidates’ work histories. It is also the first to explore the effects of both marital status and unemployment spells in hiring in the context of China’s dynamic internet job board labor market.

The empirical support for agency theory explanations for the great variance in CEO pay has been equivocal. Drawing from the performance appraisal literature, we hypothesize that boards of directors incorporate human judgment into the evaluation and reward of CEO performance in order to balance managerial risk with agency costs. We test Baysinger and Hoskisson’s (1990) proposition that insider‐dominated corporate boards rely on subjective performance evaluation to reward the CEO, and we argue that R&D intensity influences this relationship. Using a sample of Fortune firms, findings support our contention that human judgment is important in evaluating and rewarding CEO performance.

The purpose of this chapter is to analyze gaps in effectiveness of Mexico’s labor legislation, in terms of equality in employment. Early adoption of progressive legislation should enable equal access for women, elder and disabled people to workplaces.

This chapter is based on an extensive review and examination of secondary data reports from reliable sources, as well as an analysis of primary data drawn from job boards operating in Mexico.

This study reveals a large gap between the legal framework and practice on diversity management in Mexico. Notwithstanding the existing legislation in Mexico to promote equity and equality in employment, age and gender are factors of discrimination in almost 60% of job offers. This study also shows that the intersection of different forms of diversity, such as gender, age, and disability, augment discrimination at work. Our analysis suggests that older women with disabilities suffer disproportionally from discrimination compared to older men and people with disabilities in general.

We outline practical implications for public policy and courses of action for managers interested in diversity management. Greater consideration should be given to those who face an intersection of factors related to discrimination.

This study contributes to the literature by exploring diversity management issues at workplaces in Mexico, which is an under-researched country. Furthermore, it attempts to combine macro-institutional and meso-organizational levels focusing on three characteristics traditionally related to increased marginalization: women, elders, and persons with disabilities. The results indicate that strong legal frameworks, though necessary, are not sufficient to ensure equality. Other crucial factors such as national and organizational cultural change, trust in government and enforcement mechanisms are necessary to improve diversity management practices.

Superintendents’ agency in the US is shaped by governance systems within education systems. These Education Governance Systems have been in a state of flux and experienced turbulence for twenty years. The professional challenge this research addresses is how do 14 credentialed educational professional African American women superintendents with doctorates and track records of school improvement, navigate the turbulence to empower families, and Empower Young Societal Innovators for Equity, Renewal (EYSIER), Social Mobility, and Peace.

This chapter identifies three aspects of a theory of knowledge to action to emerge from the empirical evidence presented. First, African American women superintendents need to know how to access policy and legislation, how to stay up to date with policy and need to be empowered to challenge policy. Policy has the back of African American women fighting institutionalised racism. Second, African American women superintendents need role models, and mentors with wisdom who can create proactive and mobilising networks across the state and the nation to advocate for and to support the teachers’ and leaders’ professional learning to be the best teachers, leaders and superintendents they can be. Finally, the African American women superintendents who have been self-selecting, or identified as potential future superintendents by current superintendents and schoolboards, need to be part of succession planning that transcends the short elected lives of district school boards. Newly incumbent African American women superintendents need to be empowered by Education Governance Systems to enable them to deliver on their manifestos and track records of outstanding school improvement with the impact strategies they were employed to implement. The impact strategies include promoting high-quality home–school engagement and ensuring all students learn how to learn, are culturally sensitive, ask good questions and solve problems as Young Societal Innovators for Equity and Renewal. The chapter recommends a network of African American women superintendents implements this theory of knowledge to action and that their work is documented, and if successful in optimising students’ learning, and outcomes, disseminated to build capacity for EYSIER.

The current gap between the required and available artificial intelligence (AI) professionals poses significant challenges for organisations and academia. Organisations are challenged to identify and secure the appropriate AI competencies. Simultaneously, academia is challenged to design, offer and quickly scale academic programmes in line with industry needs and train new generations of AI professionals. Therefore, identifying and structuring AI competencies is necessary to effectively overcome the AI competence shortage.

A probabilistic topic model was applied to explore the AI competence categories empirically. The authors analysed 1159 AI-related online job ads published on LinkedIn.

The authors identified five predominant competence categories: (1) Data Science, (2) AI Software Development, (3) AI Product Development and Management, (4) AI Client Servicing, and (5) AI Research. These five competence categories were summarised under the developed AI competence framework.

The AI competence framework contributes to clarifying and structuring the diverse AI landscape. These findings have the potential to aid various stakeholders involved in the process of training, recruiting and selecting AI professionals. They may guide organisations in constructing a complementary portfolio of AI competencies by helping users match the right competence requirements with an organisation's needs and business objectives. Similarly, they can support academia in designing academic programmes aligned with industry needs. Furthermore, while focusing on AI, this study contributes to the research stream of information technology (IT) competencies.

This study investigated the conceptions of governance that informed the practices of school trustees, and considered the extent to which those conceptions matched the policy imperatives that shaped New Zealand's school governance framework.

Semi‐structured interviews were undertaken with 32 participants in the governance of New Zealand primary schools. The interviews were structured around four scenarios that described the work of a hypothetical Board. For each scenario, the participants were asked to rate how well the Board did its job and then asked to explain their ratings.

Conceptions of good governance were dominated by concerns about the quality of relationships and the effectiveness and efficiency of task completion. There was little evidence that educational or democratic values shaped governance activity.

These findings were derived from a small sample of 32 participants, drawn from a disadvantaged, multi‐cultural community. While their generalizability to all New Zealand primary school should not be assumed, the similarity of these themes to those reported in prior New Zealand surveys suggests that this sample may not be atypical.

The originality of this study is that it presents a methodology for discovering the extent to which key policy ideas are reflected in the understanding of those who are intended to carry them out.

This paper aims to estimate the impact of job search on the internet on the probability of re‐employment and the duration of unemployment spells.

The study uses national panel datasets from Germany (SOEP 2003‐2007) and South Korea (KLIPS 1996‐2006) to estimate probit and Hausman‐Taylor IV models of the impact of job search on the internet on the probability of re‐employment. The study also explores duration analysis with the aim of estimating the impact of internet job search on the duration of unemployment.

In Germany and South Korea job seekers who used the internet had a 7.1 and 12.7 percentage point higher probability, respectively, of being re‐employed in the next 12 months. Furthermore, job seekers who used the internet had a shorter duration of unemployment in both Germany and South Korea.

Over the past decade, internet penetration rates and use of the internet in job search have risen sharply across the world. The internet has significantly changed the job application process and improved the channels of communication between employers and job seekers. The findings of the research indicate that the internet is beneficial and should be a part of job search efforts.

The contribution of this study is twofold. It is the first study to use panel datasets to analyze the link between internet use and job search outcomes. Therefore, the results are robust to unobserved heterogeneity problems. The study also addresses the issue of endogeneity of job search on the internet by using the Hausman‐Taylor IV model.