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This chapter offers a comprehensive review the literature on authentic leadership (AL). The authors employ a bibliometric approach to identify, classify, visualise and synthesise relevant scholarly publications and the work of a core group of interdisciplinary scholars who are key contributors to the research on AL. They review 264 journal articles, adopting a clustering technique to assess the central themes of AL scholarship. They identify five distinct thematic clusters: authenticity in the context of leadership; structure of AL; social perspectives on AL; dynamism of AL; and value perceptions of AL. Velt and Sinkovics assert that these clusters will help scholars of AL to understand the dominant streams in the literature and provide a foundation for future research.

This chapter seeks to quantify the effects of geographic access to community health centers on the likelihood of an individual having a regular source of health care.

Utilizing survey and center location data, the analysis employs bivariate cross-tabulation with chi-square and multinominal logistic regression to quantify the relationship between variables.

While individuals living in close spatial proximity to community health centers were more likely to identify a community health center as a regular source of care as compared with those without proximal access, the effect of community health center access on the identification of any source of regular health care was generally insignificant or negative, except for populations with a chronic medical condition.

While these findings support current literature suggesting that spatial proximity to care is insufficient to transform at-risk populations into regular primary care users, it is important to note that it is possible that individuals prefer to access primary care services outside of their immediate neighborhoods, potentially mediating the observed effect of proximity to care on the likelihood of having a regular source of care. Also, because this analysis is based on cross-sectional survey data, it is impossible to make a causal argument about the relationship between variables. Only the observed association can be asserted and used to inform future studies.

Existing research supports a positive association between community health center utilization and measures of health for social groups traditionally facing barriers to care, but few studies isolate the effect of center availability and health, particularly when considering those living in the catchment area but are not regular users. Due to the complexity and prevalence of barriers to health care for vulnerable and at-risk populations, these findings suggest that improving geographic access to primary health care does not guarantee positive outcomes for target groups. The magnitude of social disadvantage on vulnerable and at-risk populations can have a devastating effect on health care outcomes that is not easily overcome by social programs.

The purpose of this chapter was to explore how the values of higher education institutions, and ultimately society, are conveyed through the curriculum of an institution. The arguments for focusing on a liberal education grounded in critical thinking are highlighted and then compared to the growing trend of occupational education being the central focus of a college education. The need to understand populist thinking in particular is aligned with the social responsibility that educational institutions carry in their charters. This means that the students and parents who pay tuition for their education want something to show for their investment, namely a level of compensation and employment that is perceived to be correlated with the expense of the degree. The competing views of education and training are then considered in a global context, noting the interconnectedness of the intellectual and business community around the globe. This chapter concludes by highlighting the importance of education and its impact on cultural understanding and engagement as a value, especially calling upon public policymakers to keep higher education leaders in check as they develop plans and expectations for their institutions.

Being an efficient mechanism for the value of money, public–private partnership (PPP) is one of the most prominent approaches for infrastructure construction. Hence, many controversies about the performance effectiveness of these delivery systems have been debated. This research aims to develop a novel performance management perspective by revealing the causal effect of key performance indicators (KPIs) on PPP infrastructures.

The literature review was used in this study to extract the PPPs KPIs. Experts’ judgment and interviews, as well as questionnaires, were designed to obtain data. Copula Bayesian network (CBN) has been selected to achieve the research purpose. CBN is one of the most potent tools in statistics for analyzing the causal relationship of different elements and considering their quantitive impact on each other. By utilizing this technique and using Python as one of the best programming languages, this research used machine learning methods, SHAP and XGBoost, to optimize the network.

The sensitivity analysis of the KPIs verified the causation importance in PPPs performance management. This study determined the causal structure of KPIs in PPP projects, assessed each indicator’s priority to performance, and found 7 of them as a critical cluster to optimize the network. These KPIs include innovation for financing, feasibility study, macro-environment impact, appropriate financing option, risk identification, allocation, sharing, and transfer, finance infrastructure, and compliance with the legal and regulatory framework.

Identifying the most scenic indicators helps the private sector to allocate the limited resources more rationally and concentrate on the most influential parts of the project. It also provides the KPIs’ critical cluster that should be controlled and monitored closely by PPP project managers. Additionally, the public sector can evaluate the performance of the private sector more accurately. Finally, this research provides a comprehensive causal insight into the PPPs’ performance management that can be used to develop management systems in future research.

For the first time, this research proposes a model to determine the causal structure of KPIs in PPPs and indicate the importance of this insight. The developed innovative model identifies the KPIs’ behavior and takes a non-linear approach based on CBN and machine learning methods while providing valuable information for construction and performance managers to allocate resources more efficiently.

As the pandemic begins to ease, many companies are figuring out that working remotely is the future of work and “a new normal”. This research focuses on strategic planning and practices inherent in remote work, and aims to identify the optimal balance between virtual and on-site working. Specifically, the authors investigate the moderating effects of managerial ability and Hofstede's cultural factors.

The authors build a mathematical model to locate the optimal balance between virtual and on-site working. A numerical study is presented, and additional sensitivity analysis is conducted to validate the proposed model.

This model provides organizations with a general guideline with recommended optimal percentages of remote workforce based on specific Hofstede's national scores. The authors also find that organizations with varying levels of managerial ability exhibit different adoption rates of remote working.

Because of the chosen research approach, the proposed model may lack empirical verification and require further adjustment of parameters. Therefore, researchers are encouraged to empirically and statistically test the proposed model further.

This model equips organizations and practitioners with a general guideline to identify their desired portion of remote workforce. The incorporation of managerial ability and cultural factors makes our model applicable to various business structures across different sectors.

This proposed model addresses this optimization problem from a mathematical perspective with an interdisciplinary approach. The model also considers the moderating effects of managerial ability and Hofstede's cultural factors.

1. The main contribution of this study is the theoretical development of our mathematical model that identifies the optimal balance between remote and on-site workforce in the context of managerial ability and Hofstede's cultural factors.

2. A numerical study is presented, and additional sensitivity analysis is conducted to validate the proposed model and highlight the moderating effect of managerial ability and cultural influence on the adopted percentages of remote working.

3. Our study suggests that organizational capabilities, managerial skills, and culturally suitable work arrangement are vital in successful development and implementation of remote working policy.

4. Practical managerial implications and general guidelines are offered to organizations and practitioners.

The main contribution of this study is the theoretical development of our mathematical model that identifies the optimal balance between remote and on-site workforce in the context of managerial ability and Hofstede's cultural factors.

A numerical study is presented, and additional sensitivity analysis is conducted to validate the proposed model and highlight the moderating effect of managerial ability and cultural influence on the adopted percentages of remote working.

Our study suggests that organizational capabilities, managerial skills, and culturally suitable work arrangement are vital in successful development and implementation of remote working policy.

Practical managerial implications and general guidelines are offered to organizations and practitioners.