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This chapter proposes a sustainable trajectory for leadership and diversity, equity, and inclusion (DEI) organizational change in higher education. Leadership practices and strategies necessary to construct and implement change and cultivate diverse, equitable, and inclusive educational environments are deliberated, with particular emphasis on transformational leadership theories and practices. These types of organization development practices produce concrete transformation in institutions that have long-established, inert, and deeply entrenched cultures in which discriminatory or even racist practices have been deeply embedded and accepted over time. The complex dynamics of transformation in higher education, brought on, in part, by the rigidity of its organizational structure coupled with its history and foundation in racism and racist practices, makes achieving sustainable change difficult in higher education. Transformational change requires the creation of new mental models through meaning making and perspective sharing that allow individuals in higher education to think differently about how higher education institutions should operate given the rapid shifts in our society. Organizational change leaders must engage in deep, purposeful, and critical reflection and examination of the organization's culture to lay the groundwork for significant change. The chapter explores topics such as leading change through transformational leadership and the styles, practices, and capabilities associated with it, leadership development, strategic diversity leadership, and the Chief Diversity Officer (CDO) as change leader in higher education. The internal and external environmental trends demanding substantive change in higher education continue to intensify over time. The demand for pervasive transformation in higher education is resounding, and institutional leaders must be open to and even drive new and innovative approaches to shifting its very core – its DNA, its culture – to meet those demands.

Delivering housing to resource-constrained communities (RCCs) is a complex process beset with difficulties. The purpose of this study is to use a complexity lens to examine the approach taken by a social enterprise (SE) in Australia to develop and manage a housebuilding supply chain for RCCs.

The research team used a longitudinal case study approach from 2017 to 2022, which used mixed methods to understand the phenomenon and gain an in-depth understanding of the complex issues and problem-solving undertaken by an SE start-up.

Balancing mission logic with commercial viability is challenging for an SE. The supply chain solution that evolved accommodated the particulars of geography and the needs of many stakeholders, including the end-user community and government sponsors. Extensive and time-consuming socialisation and customisation led to a successful technical design and sustainable supply chain operation.

Analysing supply chain intricacies via a complexity framework is valuable for scholars and practitioners, assisting in designing and developing supply chain configurations and understanding their dynamics. Meeting the housing construction needs of RCCs requires the SE to place societal focus at the centre of the supply chain rather than merely being a system output. The developed business model complements the engineering solution to empower a community-led housing construction supply chain.

This longitudinal case study contributes to knowledge by providing rich insights into the roles of SEs and how they develop and operate supply chains to fit with the needs of RCCs. Adding a contextual response dimension to an established complexity framework helped to explain how hybrid organisations balance commercial viability demands with social mission logic by amending traditional supply chain and governance practices. The case provides insights into supply chain configuration, needed changes and potential impacts when an SE as a focal actor inserts into a traditional for-profit construction supply chain.

This study explores the current status of risk management (RM) in Sri Lanka and the obstacles in implementing RM in Sri Lankan small construction projects.

The current research study adopted a quantitative research method. Using a purposeful sampling strategy, 100 construction companies engaged in small construction projects in Sri Lanka were selected and a questionnaire was distributed among top managerial employees of these companies. Employees belonging to 47 companies responded to the survey which provided information relating to 812 construction projects. The collected data were analyzed using the RM implementation index (RMII) and other quantitative measures such as mean, median and percentages.

The research findings indicated that RM incorporation was at a lower degree in small construction projects in Sri Lanka. The findings further indicated that RM incorporation was relatively high in the public construction projects compared to the private construction projects. The main obstacles identified through the survey for RM implementation were: “lack of funding”, “lack of time”, “low profit margin”, “not economical” and “lack of knowledge”.

The study was limited to exploring RM implementation in small construction projects in Sri Lanka. The study was limited to the building construction companies under the 150-million-rupee (approx. below 450,000 USD) financial limit registered with the construction industry development authority in Sri Lanka.

RM in small construction projects in developing countries is a relatively less explored domain. Sri Lankan construction industry is another relatively less explored domain in terms of new management technique implementation such as RM and value management. The quantitative approach used for the study revealed that RM implementation is at a lower degree in the small construction projects. Moreover, several obstacles pertaining to RM implementation were recognized through this study. These findings will be useful for the construction stakeholders to overcome the recognized barriers and effectively use RM in their respective construction projects.

In an ever-interconnected world dominated by discourses on the internationalization and marketization of higher education, concerns related to language and employability have been the focus of recent debates. There is, however, a dearth of research investigating how these dimensions relate to one another in recent comparative and international higher education research. By focusing on how issues related to language and employability have been presented in recent higher education research worldwide, this chapter aims to contribute to our understanding of this concern. To achieve this goal, we conducted a scoping literature review using the Web of Science, Scopus, and the Education Resources Information Center (ERIC) databases, considering the years 2011–2020. The findings, perhaps not surprisingly, suggested that language skills are perceived to be valued by both graduates and employers though the discussions predominantly focused on one language, English. The research focus on English for employability in Anglophone contexts is understandable. However, the fact that the trend is observed in contexts where the language is not the primary or official language seems to indicate the influence of internationalization of higher education and global labor markets primarily dominated by English. The literature also suggested that (English) language training in higher education programs needs to move from solely linguistic and qualification-related content areas to a broader sphere of English for communication purposes that cover both specialized disciplinary content and broader generic employability skills. Considering this finding, we suggest that higher education systems and institutions incorporate recent developments in English for occupational purposes in their curriculum. We also recommend that there needs to be a shift from the overwhelmingly English language-dominated discussions to more inclusive research that assesses the impact of other dominant languages on employability-related concerns.

Compared to Whites, People of Color (POC) in the USA face substantial cultural, structural and institutional challenges on their paths to entrepreneurial success. Many of these challenges have their roots in institutional racism—pervasive discriminatory practices and policies found within institutions. Institutional theory suggests that organizations gain access to institutions and resources when they conform to “appropriate” business practices. How does the reality of institutional racism square with institutional theory when many of those institutions, like banks, are fundamentally afflicted by racist practices and norms? Can another institution, the family, act as a resource substitute to provide POC business owners the necessary resources for success?

Focusing on White-, Black- and Asian-American business owners, the authors analyze data from the USA. Census's Annual Business Survey.

Despite vast performance differences between POC- and White-owned businesses, family firms of every racial group outperform their same-race nonfamily counterparts. Idiosyncratic resources families bring into family firms, known as familiness, appear to help mitigate the challenges to entrepreneurial success that POC face.

Policy makers should consider specific types of support different entrepreneurs require given the kinds of hurdles racial minorities continue to face in the USA.

Despite scholarly attention on family firm heterogeneity, there is scant research on race.

This research is one of the first to explore the implications of institutional racism on institutional theory and the first to employ this concept within the context of family firms.

A Legacy Community is a living and learning community supported by broader institutional departments (e.g., student affairs, academic affairs, foundation, and alumni affairs) that dedicate resources, opportunities, and supports intended to: (a) undo legacies of educational disparities that Black/African American males have historically witnessed and (b) build capacity for students engaged in these communities (i.e., Black/African American males) to create and leave positive legacies on their terms. In this qualitative study of Black and African American undergraduate male living and learning community (LLC) participants at a primarily white institution (Legacy House), we investigate the LLC program elements that impact participants' educational and social experiences, and foster pathways for student legacy building. Legacy house participants describe brotherhood, sense of belonging, and leaving a legacy as elements that enable positive student academic and social outcomes, campus involvement, and career readiness.

Debates regarding climate change risk perception (CCRP), particularly its scale and impact on social and environmental sustainability, have continued for decades. CCRP is experiencing a renaissance with an increased focus on environmentally relevant behaviors to mitigate the effects of climate change. However, CCRP lacks investigation from the employee perspective. Supported by the social exchange and value–belief–norm theories, this study aims to address the impact of employees’ CCRP on their proenvironmental behavior (PEB) via the moderating roles of environmental values and psychological contract breach.

The nonprobability convenience sampling technique was used to collect survey data from a sample of 299 employees across 138 manufacturing firms in Pakistan.

The results show that employees’ CCRP positively impacts their PEB and that this relationship is moderated by their environmental values and psychological contract breach. Specifically, environmental values strengthen the CCRP–PEB relationship, while psychological contract breach weakens it.

The findings of the study emphasize useful guidance for managers and practitioners as a future avenue to restructure the climate change framework by emphasizing the conditions (i.e. environmental values and psychological contract breach). In doing so, the study is beneficial for managers and practitioners in helping to increase employees’ PEB through the development of climate change action plans.

To the best of the authors’ knowledge, this study is one of the first investigations into CCRP–employees’ PEB nexus in the developing country context. The study incorporates social exchange and value–belief–norm theory, which serve as the CCRP’s theoretical underpinnings. The findings advance the new knowledge about a firm’s social responsibility to achieve the sustainable development goals outlined in the UN’s 2030 Agenda.

The direction of causality between job satisfaction and job performance (known as the holy grail of industrial psychologists) is undetermined and related research findings in different organizational contexts are mixed. Based on the ample literature, mainly from Western countries, on the relationship between job satisfaction and job performance, a non-recursive bow pattern model was utilized to investigate the direct relationship between these two variables in an Asia–Pacific higher education system.

This study is quantitative in approach and survey in design. Additionally, to meet the statistical requirements of non-recursive bow pattern analysis, the authors added welfare as a theory-driven instrumental variable to introduce exogenous variability. Using the efficient partial least squares (PLSe2) estimator, the authors fitted the model to the data collected from 2008 academics affiliated with Malaysian public universities and polytechnics.

The results showed that while job satisfaction is considerably influenced by welfare, it is not a significant predictor of job performance directly. In addition, a meaningful positive correlation between the disturbance terms of job satisfaction and job performance was observed, suggesting the existence of other factors that could increase both job satisfaction and job performance. The findings' theoretical and practical implications are discussed, and a list of theory-driven evidenced-based policies in this regard is provided.

This is the first study to test a non-recursive bow pattern model and examine the holy grail of industrial psychology based on the PLSe2 methodology, as a parametric approach to partial least squares (PLS), in a higher education context. This study also provides higher education researchers with the advantages of the PLSe2 method, especially in causal-predictive modeling, in the context of applied higher education research.

Challenges associated with ensuring the accuracy and reliability of cost estimation of highway construction bid items are of significant interest to state highway transportation agencies. Even with the existing research undertaken on the subject, the problem of inaccurate estimation of highway bid items still exists. This paper aims to assess the accuracy of the cost estimation methods employed in the selected studies to provide insights into how well they perform empirically. Additionally, this research seeks to identify, synthesize and assess the impact of the factors affecting highway unit prices because they affect the total cost of highway construction costs.

This paper systematically searched, selected and reviewed 105 papers from Scopus, Google Scholar, American Society of Civil Engineers (ASCE), Transportation Research Board (TRB) and Science Direct (SD) on conceptual cost estimation of highway bid items. This study used content and nonparametric statistical analyses to determine research trends, identify, categorize the factors influencing highway unit prices and assess the combined performance of conceptual cost prediction models.

Findings from the trend analysis showed that between 1983 and 2019 North America, Asia, Europe and the Middle East contributed the most to improving highway cost estimation research. Aggregating the quantitative results and weighting the findings using each study's sample size revealed that the average error between the actual and the estimated project costs of Monte-Carlo simulation models (5.49%) performed better compared to the Bayesian model (5.95%), support vector machines (6.03%), case-based reasoning (11.69%), artificial neural networks (12.62%) and regression models (13.96%). This paper identified 41 factors and was grouped into three categories, namely: (1) factors relating to project characteristics; (2) organizational factors and (3) estimate factors based on the common classification used in the selected papers. The mean ranking analysis showed that most of the selected papers used project-specific factors more when estimating highway construction bid items than the other factors.

This paper contributes to the body of knowledge by analyzing and comparing the performance of highway cost estimation models, identifying and categorizing a comprehensive list of cost drivers to stimulate future studies in improving highway construction cost estimates.