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This study aims to raise awareness of the key challenges, opportunities and priorities for evidence-based strategies’ application to inform building and urban design decisions.

This study uses deductive qualitative content and manifest analysis, using semi-structured interviews undertaken with building and urban design professionals who represent a UK-based organisation.

The challenges associated with the practical implementation of frameworks, potential application areas and perceived areas of concern have been identified. These not only include the need to practically test their use, but also to identify the most appropriate forums for their use. Participant responses indicate the need to further develop engagement strategies for their practical implementation, clearly communicating the benefits and efficiencies to all stakeholders.

Implications/ limitations of this study come with the fact that some of the respondents may possess inadequate professional experience in properly evaluating all the questions. Additionally, the information gathered is restricted to the UK geographical context, as well as coming from one organisation, because of data accessibility.

The findings of the study can be adopted by designers in the strategic definition level to overcome the key challenges associated with the use of evidence-based strategies, enhancing their decision-making processes.

As a theoretical contribution to knowledge, this study enhances the body of knowledge by identifying the challenges associated with the practical implementation of evidence-based strategies to inform building and urban design decisions. In practice, the findings aid urban planners, designers and academics in embedding and adopting strategies that enhance decision-making processes.

The study draws on emerging research on declining employee mental health, particularly employees with low educational attainment, in human resource management (HRM) and health and tests whether labor market institutions are empirically associated with better mental health among workers from different educational backgrounds.

This study draws on a large national sample of part- and full-time workers and models a conditional relationship between labor market institutions and employee self-rated mental health using ordinary least squares (OLS) models with fixed effects.

The findings indicate membership in a labor market institution such as a union is positively associated with improved employee mental health, but the relationship is moderated by educational attainment. Union membership is associated with better mental health among employees with low educational attainment and appears to bring these workers up to a level of mental health that is comparable to more highly educated workers, thereby reducing mental health inequality. However, union membership has no effect on the mental health of more highly educated employees.

Despite the recognition that declining worker mental health presents challenges for workers, organizations and society, systematic empirical research on institutional mechanisms that may affect mental health is limited. This study draws on data of part- and full-time workers to model the relationship with a sample large enough to specify conditional models to account for heterogeneous relationships conditional on workers' educational attainment. The findings have important implications for our understanding of employee mental health, employment relations and institutional mechanisms to help workers and improve organizational performance.

This chapter delves into the complex interplay between ethics, law and business case regarding diversity and inclusion within organisations. While the business case for diversity and inclusion has gained prominence, the ethical imperative often lacks comparable influence. Despite the coercive forces of laws and regulations, ethical values struggle to exert significant pressure on diversity-related issues.

This study concentrates on “ambiguity of law” and “abstaining from complaint” about discrimination, mistreatment, or unfair behavior to explain the weak pushing effect of ethical values on diversity- and inclusion-related issues. The ambiguity of law fosters open-ended discussions and varied interpretations, complicating efforts towards equitable treatment. Furthermore, the reluctance to voice complaints regarding discrimination or mistreatment blurs the boundary between ethics and business.

This chapter points out ethical values in the shade of the business case approach and proposes strategies to strengthen the influence of ethics in diversity management. Moral awareness, a sense of justice, and ethical coding of decisions are prominent components of this chapter that may contribute to strengthening the ethical infrastructure of organizations.

In recent years we have seen major technological advancements including the launch of large language models such as ChatGPT and the popularity of the digital transformation topic among professionals and academics. Despite this, the pace of digital transformation is surprisingly slow. We aimed to identify behavioral antecedents of an organization’s sluggish digital transformation.

We adopted the organizational level of analysis, which differs from prior analyses of technological revolutions that looked at the phenomenon from an aggregate labor market or society level of analysis.

We identified dehumanization as a key construct useful in examining the behavioral impediments to digital transformation. We indicated that the traditionally dual understanding of dehumanization needs to incorporate the actual involvement of non-human agents in operational and decision-making processes in organizations.

We complemented the predominant approach of digital transformation, which focuses on technology and related business model development, with a behavioral approach. We considered digital transformation as an extreme degree of change, similar to the Industrial Revolution. We paved the way for the conceptual development of dehumanization in the digital world and for developing managerial practices useful in alleviating concerns that impede the pace of digital transformation.

In this study, students’ perceptions of the effective practices of their research mentors were examined. The research mentors implemented the practices informed by the Center for the Improvement of Mentored Experiences in Research (CIMER) mentorship competencies to mentor underrepresented students in engineering education research in a virtual environment.

This research experience for undergraduates (REU) program, situated in the United States of America, consisted of undergraduate students (i.e. mentees), graduate students and faculty mentors who all had at least one underrepresented identity in engineering (i.e. Black, Latiné/x, and/or women). Using qualitative methods, we used data from reflection surveys and follow-up interviews with REU mentees to understand the outcomes of the mentorship strategies employed by the mentors in the program. The data were analyzed thematically using CIMER model constructs and social capital theory as guiding frameworks.

The results indicated the identified strategies students perceived as the most impactful for mentorship throughout the program. Students in the REU gained knowledge on how to activate social capital in mentorship relationships and how to better mentor others.

The findings provide insight on how to operationalize the CIMER mentorship competencies to skillfully mentor underrepresented students in engineering. Given the size of the REU and the nature of qualitative research, the sample size was limited.

The results help inform mentorship practices for underrepresented individuals in engineering education and the workforce. Further, they add to the practical knowledge of implementing CIMER best practices virtually, at a time when the world has transitioned to more hybrid and virtual working and learning environments.

This study identifies impactful strategies for operationalizing mentorship strategies informed by theory- and evidence-based CIMER mentorship competencies. In addition, this study extends knowledge about how to implement mentoring best practices and engage mentorship in a virtual environment.

The purpose of this study was to examine the experiences of college-age mentors in a school-based mentoring (SBM) program with the aim of understanding mentor perceptions of “power.”

Seventeen mentors, comprising both undergraduate (9) and graduate (8) students, participated in this exploratory qualitative study. One-on-one semi-structured interviews and Focus Groups served as the primary methods of data collection. The modified Grounded Theory approach guided the data analysis process. Mentor narratives were scrutinized within the Indian context while also considering a global perspective.

Three major role execution styles emerged from examining mentor behavior: leadership, coaching and companionship. These charted the trajectory of equitability, revealing two major aspects of mentor perception: (1) within a tightly monitored and firmly structured program in a collectivist context, mentors believed they had the power to promote equitability in their dyads and (2) raising awareness about inequity is not sufficient to activate equitability, but additionally, an open mindset is essential for making conscious efforts to disrupt hierarchy.

The findings hold significant implications for higher education institutions and program creators in advocating school–college partnerships using SBM to promote equitable program structures and to develop a socially responsible next generation of leaders.

The study modestly fills critical gaps in the literature related to the understanding of power dynamics in mentoring relationships and understanding mentorship from mentors’ views. Future research could explore how college-age mentors perceive their own social capital.

The paper reviews Fox’s frames of reference against subsequent changes in the composition of the labour force, shifts in social values and the arrival of the politics of identity.

A close reading of the frames of reference is placed in the context of Fox’s writing on the search for managerial legitimacy. That search is then considered in relation to the subsequent revolution in equal opportunities and contemporary efforts to promote equality, diversity and inclusion (EDI).

At the core of Fox’s frames lies the fundamental question of whether employers accept trade unions as a legitimate expression of employee interests. Changes in the composition of the labour force and the related arrival of identity politics has led to the emergence of a new set of interests based on social identity. These interests exist because of state legislation, social pressure from campaign groups and the awareness of the right to equal treatment regardless of gender, race, sexuality etc. It follows that the emergence of these identity-based interests means that employers are all pluralists now. This new pluralism has the ideological challenge of gaining approval not only from employees but also from the public in a world where errant employers are vulnerable to hashtag activism.

By revisiting Fox’s frames of reference, and emphasizing the role of employee interests, the paper shows that Fox's original insights on managerial authority and the need for “legitimising sentiments” are still relevant even if his frames are now outdated.

This paper contributes to the broad aim of this special issue, reflecting on the relevance of the writing of Alan Fox to the contemporary industrial relations field. It offers an original reflection from a feminist perspective on Fox’s classic insights around frames of reference.

We concentrate on Beyond Contract, Work, Power and Trust Relations (1974a) and Man Mismanagement (1974b, 1985) as the texts setting out Fox’s influential frames of reference theory, before moving on to subsequent literature in the field making use of Fox’s frames. In undertaking this review from a feminist perspective, we specifically look at the extent to which work considers standpoint, gender relations and political engagement. We draw further on wider feminist scholarship within industrial relations, critical race theory and intersectionality perspectives.

Despite the concept of inequality forming the core of Fox’s analyses, there is a lack of attention to gender or to other diversity strands in his work and, notwithstanding the weight of feminist scholarship within the industrial relations field since, this neglect has been carried forward into subsequent use of Fox’s work. We argue there is space for the frames to be interpreted and used in ways that leave space for attention to feminist concerns and call on academics to approach their use of Fox from a more critically-informed perspective.

The paper’s argument has implications for the field of industrial relations in terms of conceptual understanding and methodological approaches. With space, it would have been useful to apply our revised understanding of Fox’s key concepts to empirical cases.

Greater clarity in what constitutes “unitary” and “pluralist” perspectives and categories will help employment relations actors.

We present a novel feminist re-framing of Fox’s work, providing new understandings of the strengths, weaknesses and applicability of the frames of reference within contemporary industrial relations research and practice. We advocate for methodological and scholarly approaches which advance theoretical and empirical justice in the field, moving beyond gender to draw on critical race theory and intersectionality frameworks.

Existing labor estimation models typically consider only certain construction project types or specific influencing factors. These models are focused on quantifying the total labor hours required, while the utilization rate of the labor during the project is not usually accounted for. This study aims to develop a novel machine learning model to predict the time series of labor resource utilization rate at the work package level.

More than 250 construction work packages collected over a two-year period are used to identify the main contributing factors affecting labor resource requirements. Also, a novel machine learning algorithm – Recurrent Neural Network (RNN) – is adopted to develop a forecasting model that can predict the utilization of labor resources over time.

This paper presents a robust machine learning approach for predicting labor resources’ utilization rates in construction projects based on the identified contributing factors. The machine learning approach is found to result in a reliable time series forecasting model that uses the RNN algorithm. The proposed model indicates the capability of machine learning algorithms in facilitating the traditional challenges in construction industry.

The findings point to the suitability of state-of-the-art machine learning techniques for developing predictive models to forecast the utilization rate of labor resources in construction projects, as well as for supporting project managers by providing forecasting tool for labor estimations at the work package level before detailed activity schedules have been generated. Accordingly, the proposed approach facilitates resource allocation and enables prioritization of available resources to enhance the overall performance of projects.

Disruptive events caused by cyber incidents, such as supply chain (SC) cyber incidents, can affect firms’ SC operations on a large scale, causing disruptions in material, information and financial flows and impacting the availability, integrity and confidentiality of SC assets. While SC resilience (SCRES) research has received much attention in recent years, the purpose of this study is to investigate specific capabilities for building SCRES to cyber risks. Based on a nuanced understanding of SC cyber risk characteristics, this study explores how to build SC cyber resilience (SCCR) using the perspective of dynamic capability (DC) theory.

Based on 79 in-depth interviews, this qualitative study examines 28 firms representing 4 SCs in Central Europe. The researchers interpret data from semistructured interviews and secondary data using the DC perspective, which covers sensing, seizing and transforming.

The authors identify SCRES capabilities, in general, and SCCR-specific capabilities that form the basis for the realignment of DCs for addressing cyber risks in SCs. The authors argue that SCRES capabilities should, in general, be combined with specific capabilities for SCCR to deal with SC cyber risks. Based on these findings, 10 propositions for future research are provided.

Practitioners should collaborate specifically to address cyber threats and risks in SCs, integrate new SC partners and use new approaches. Furthermore, this study shows that cyber risks need to be treated differently from traditional SC risks.

This empirical study enriches the SC management literature by examining SCRES to cyber risks through the insightful lens of DCs. It identifies DCs for building SCCR, makes several managerial contributions and is among the few that apply the DC approach to address specific SC risks.