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This chapter explores the parallels between the recruitment and retention of students from marginalized backgrounds, and efforts with similarly identifying faculty and student affairs administrators. Higher education institutions target specific student populations to increase access, thus leading to an increase of students of color, low-income students, and first-generation students on college campuses (Chen & Nunnery, 2019). This welcome development proves inadequate on its own, as the critical support structures necessary for student success are not in place. Students' lived experiences are not attended to in a manner that fosters thriving (Jack, 2019; Nunn, 2021).

Research underscores the significant positive impact on marginalized students of having faculty and student-facing administrators from similar backgrounds on their campus (Braxton et al., 2014; Kuh, Kinzie, Buckley, Bridges, & Hayek, 2007). The intentional recruiting of these college personnel provides a vital means of attending to the needs of underrepresented students. Yet, the student experience is not instructive for the work with underrepresented college employees. The lived experiences of the faculty and administrators from marginalized identities are not being addressed either, similar to that of underrepresented students (Orelus, 2020). When these college personnel leave institutions unexpectedly or stay but are not thriving, this impacts students, colleagues and the college as a whole. In many respects, institutions are replicating inequities they commit to substantively dismantle, limiting the racial justice work they promised, and effectively thwarting their own Diversity, Equity, and Inclusion (DEI) efforts.

Using an autoethnographic approach, this chapter will explore these parallel issues, and propose recommendations for future research and institutional policy and practice for retention of underrepresented faculty and student-facing administrators.

One of the rapidly growing bodies of literature on sustainability in higher education focuses on the competencies students should master to bring about the necessary transformation toward a sustainable future. Given the influential nature of this particular scholarship on curricula and programs, this study aims to assess its trajectory based on bibliometric analyses.

More specifically, authors conducted coauthorship, direct citations of articles and journals and bibliographic coupling analyses to identify the scholars and publications that have shaped the subfield of higher education sustainability competency research.

Findings show that despite the growth in higher education sustainability competency scholarship, this important subfield in higher education for sustainable development (HESD) has been a relatively narrow one. Contributing scholars, coauthor publications mainly with each other, cite each other and draw from a shared pool of research primarily by individuals from the Global North.

Scholars seeking to advance sustainability competency scholarship are encouraged to engage with individuals who can bring more diverse perspective on the knowledge, skills and mindsets higher education students need to master, to ensure that they can transform their communities toward a sustainable future in just ways. Integrating environmental/social justice, traditional knowledge and decolonizing perspectives from academics and sustainability leaders from minoritized groups and the Global South have the potential to result in important, new contributions.

Although prior scholars have examined HESD, including higher education sustainability education through bibliometric analysis, none have focused on assessing the higher education sustainability competency literature specifically. Given the influence this particular body of scholarship has already had, and will increasingly have, on preparing students for leading a just transition toward sustainability, this finding of this subfield’s limited diversity is important to highlight and address moving forward.

The present research identifies a total of nine factors influencing tax avoidance under the international taxation regime of the developing countries and establishes a hierarchical relationship through modeling of the identified factors using modified-total interpretive structural modeling (M-TISM).

Due to “scale without mass” properties of the digital economy, businesses reduce their physical presence in the countries of economic activities. Aided with digital features, multinational enterprises (MNEs) avoid, abolish, or adopt flexible tax burden in the developing nations through by-passing the permanent establishment condition for company taxes or the income characterization prerequisite for royalty taxation. The present research endeavors to identify the drivers of tax avoidance in the developing countries, especially exacerbated due to digital technologies (economy). In addition, the authors also examine the hierarchical relation between the extracted drivers of tax avoidance.

This research presents a considerable driving force of elements like historical foundation of tax-treaties, dominance of the developed countries, influence of trade bodies in policy matters and finally information and communications technologies (ICTs).

Identified elements drive the actors like professional enablers, tax havens, international organizations, and intangible assets in the form of intellectual properties (IPs) which act upon tax arbitrage situations both under the domestic and treaty regulations, finally culminating into profit shifting, tax manipulations or avoidance.

Most developing countries, such as Sri Lanka (SL), are now looking for the support of foreign construction companies for large-scale infrastructure projects in return for expertise and resources. Thus, foreign companies may enter into agreements with local contractors through joint ventures (JVs). However, the priorities of construction project stakeholders may differ, which may ultimately end up in conflicts. Therefore, this research aims to investigate the most suitable conflict management strategies for international construction JVs (ICJVs) considering the SL context.

The mixed method was used for the research choice by selecting a questionnaire survey and expert interviews. Completed questionnaires (n = 78) were analysed using statistical techniques. The expert interviews with six industry practitioners were piloted to increase the validity and credibility of survey findings through a triangulation process where the collected data was analysed through content analysis.

The findings confirm that JV parties should first seek collaborative solutions in a conflict and seek legal redress only when those efforts are unsuccessful. Collaborating and compromising were recommended as the most appropriate tactics if an informal approach to conflict management was chosen. Alternative dispute resolution and litigation were identified as formal conflict management strategies.

This study, to the best of the authors’ knowledge, will be the first of its kind in SL, which will lead to a better understanding of conflict management in IJCVs and will encourage other researchers to extend this study through further work.

Our study examines multinational enterpris (MNE) decisions to withdraw from the Russian market on moral grounds in reaction to the Russo–Ukrainian war. We investigate to what extent these decisions reflect the normative organizational resilience of MNEs under institutional pressures in Russia. We test the impact of various macro- (home democracy, institutional quality, stakeholder pressure) and micro-variables (ESG criteria) that define the organizational identities of MNEs in relation to their withdrawal decisions. Our sample comprises 1,648 companies from 55 countries doing business in Russia before the start of the conflict.

To test our hypotheses, we perform a nuanced analysis using both latent constructs and regression analysis on data for 1,648 MNEs.

Our results are in line with the foreign divestment literature, suggesting that MNEs are likely to exit normatively distant countries.

In this study, we explore the impact of organizational values on normative responses of MNEs to a geopolitical crisis. We introduce a normative organizational resilience construct to demonstrate how MNEs respond to institutional pressures in a host country, in this case Russia. Making exit decisions on moral grounds, MNEs have acted as social actors endowed with moral sense and intentionality, in conformity with their organizational values.

The study determined the role of personal values in doctor of philosophy (Ph.D.) students’ academic success in Tanzania. Specifically, it looked into the influence of openness to change values, self-enhancement values and conservation values on Ph.D. students’ academic success.

The study employed a cross-sectional survey design, in which 200 Ph.D. students from Tanzanian universities were involved by responding to a questionnaire. The relationship between the variables was determined by using structural equation modeling, and testing of the measurement model was done by confirmatory factor analysis (CFA).

The results indicate that personal values influence Ph.D. students’ academic success. Particularly, openness to change values have an ß value of 0.209 and p value of < 0.001, self-enhancement values have an ß of 0.173 and p-value of < 0.001 and conservation values have ß of 0.339 and p-value of < 0.001.

In the quest to improve Ph.D. students’ academic success, universities and Ph.D. students should foster openness to change values, self-enhancement values and conservation values in Ph.D. students.

The results of this study extend the use of the Schwartz theory of basic human values in explaining the academic success of Ph.D. students in Tanzanian universities. Past studies that applied this theory were based on secondary school and college students. Moreover, based on the author’s knowledge, this study is one of the early studies to systematically look into the role of personal values on Ph.D. students’ academic success. Thus, the study contributes to the existing literature on personal values and academic success because previous studies on this subject could not examine Ph.D. students’ success in isolation.

This study aims to analyse the efficiency effects of institutional distance on Chinese outward foreign direct investment (FDI) in Africa.

The study utilised the true fixed-effect stochastic frontier analysis (SFA) model. Data from 2003 to 2016 (14 years) were acquired from 42 targeted African countries, which are included in the analysis.

The results reveal that FDI flow efficiency can be maximised with a high institutional distance between China and African countries. Contrariwise, comparable institutional distance, measured by the rule of law, regulatory quality and government effectiveness between the host and home countries, reflected a significant positive impact for Chinese outward foreign direct investment (OFDIs), indicating Chinese MNEs can invest directly in a country with comparable institutional characteristics.

There have been limited exceptional studies that assessed the effect of institutional distance between emerging countries. However, none of these studies investigated the effect of institutional distance between China and Africa at a national level. Using the advantage of the SFA model, this study assesses the efficiency effects of institutional distance between the host and home country.

This paper aims to investigate the primary motivations for China’s outward foreign direct investment (ODI) decisions.

Using a panel data sample covering the period 2003–2012 and a comprehensive set of 176 host countries.

This study finds that market size, trade variables and natural resource variables are strongly related to the Chinese ODI stocks. This indicates that Chinese ODI decisions are driven by both market- and resource-seeking motives. The subperiod sample test results lend even stronger support to the market-seeking motive for ODI.

These results seem to emerge from the policy changes that were undertaken during the sample period. Consistent with subgroup tests, this study finds that the main purposes of China’s ODI in the top 100 countries are natural resource explorations and production line replacements.

Systematic literature review (SLR) papers have gained significant importance during the last years as many reputed journals have asked for literature review submissions from the authors. However, at the same time, authors are experiencing a high number of desk rejections because of a lack of quality and its contribution to the existing body of knowledge. Therefore, the purpose of this paper is to offer guidance to researchers who intend to communicate SLR papers in top-rated journals. We attempt to offer a guide to buddy researchers who plan to write SLR papers. This purpose is achieved by clearly stating how the traditional review method is different from SLR, when and how can each type of literature review method be used, writing effective motivation of a review paper and finally how to synthesize the available literature. We have also presented a few suggestions for writing an impactful SLR in the last. Overall, this chapter serves as a guide to various aspirants of SLR paper to understand the prerequisites of an SLR paper and offers deep insights to bring in more clarity before writing an SLR paper, thereby reducing the chances of desk rejection.

This study aims to improve the reliability of emergency safety barriers by using the subjective safety analysis based on evidential reasoning theory in order to develop on a framework for optimizing the reliability of emergency safety barriers.

The emergency event tree analysis is combined with an interval type-2 fuzzy-set and analytic hierarchy process (AHP) method. In order to the quantitative data is not available, this study based on interval type2 fuzzy set theory, trapezoidal fuzzy numbers describe the expert's imprecise uncertainty about the fuzzy failure probability of emergency safety barriers related to the liquefied petroleum gas storage prevent. Fuzzy fault tree analysis and fuzzy ordered weighted average aggregation are used to address uncertainties in emergency safety barrier reliability assessment. In addition, a critical analysis and some corrective actions are suggested to identify weak points in emergency safety barriers. Therefore, a framework decisions are proposed to optimize and improve safety barrier reliability. Decision-making in this framework uses evidential reasoning theory to identify corrective actions that can optimize reliability based on subjective safety analysis.

A real case study of a liquefied petroleum gas storage in Algeria is presented to demonstrate the effectiveness of the proposed methodology. The results show that the proposed methodology provides the possibility to evaluate the values of the fuzzy failure probability of emergency safety barriers. In addition, the fuzzy failure probabilities using the fuzzy type-2 AHP method are the most reliable and accurate. As a result, the improved fault tree analysis can estimate uncertain expert opinion weights, identify and evaluate failure probability values for critical basic event. Therefore, suggestions for corrective measures to reduce the failure probability of the fire-fighting system are provided. The obtained results show that of the ten proposed corrective actions, the corrective action “use of periodic maintenance tests” prioritizes reliability, optimization and improvement of safety procedures.

This study helps to determine the safest and most reliable corrective measures to improve the reliability of safety barriers. In addition, it also helps to protect people inside and outside the company from all kinds of major industrial accidents. Among the limitations of this study is that the cost of corrective actions is not taken into account.

Our contribution is to propose an integrated approach that uses interval type-2 fuzzy sets and AHP method and emergency event tree analysis to handle uncertainty in the failure probability assessment of emergency safety barriers. In addition, the integration of fault tree analysis and fuzzy ordered averaging aggregation helps to improve the reliability of the fire-fighting system and optimize the corrective actions that can improve the safety practices in liquefied petroleum gas storage tanks.