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The purpose of this paper is to reveal gaps in knowledge about energy industries, federal and provincial governments and indigenous communities’ energy management policies and practices, as well as to highlight areas requiring further research and knowledge development.

This paper used a scoping review framework according to scoping methodological framework.

This paper suggests that researchers need to examine Indigenous communities on past leaks response records, pipelines leaks impacts in their health and environment and current risk management processes and regulations to identify weaknesses. This review paper also suggests that significant time will be required to meaningfully and honestly engage with communities to move from acceptance, through approval, to co-ownership of the project as the firm builds its legitimacy, credibility and trust with Indigenous communities.

The authors introduce an original approach to scoping methodological framework that directly addresses the processes of reveal gaps in knowledge and practice. It offers researchers, policy-makers, community and practitioners an alternative approach which is culturally appropriate for improving economic and environmental health outcomes of marginalised groups.

The authors investigate whether community-based CEO's attributes, particularly educational attainment, regional and religious affiliation, are direct antecedents of performance in family-controlled Indian firms. The authors further examine whether CEO's education moderates the linkage of firm performance with regional and religious affiliation.

The authors employ pooled Ordinary Least Square with fixed effects and Fama-Macbeth regression techniques to test their hypotheses.

The results reveal that firms with post-graduate CEOs in business and firms with doctorate CEOs, significantly outperform peer firms. The authors also find that CEOs from northern India outperform peer CEOs consistently which emanates from the risk-taking differentials of CEO's across regions. Hindu CEOs also deliver superior return on assets. However, CEO's educational attainment moderates the influence of regional and religious affiliations.

This study is unique as it contributes on the role of regional affiliation of top executives in determining performance which almost remains unexplored in existing literature.

An original systematic review of the academic literature on applications of artificial intelligence (AI) in the human resource management (HRM) domain is carried out to capture the current state-of-the-art and prepare an original research agenda for future studies.

Fifty-nine journal articles are selected based on a holistic search and quality evaluation criteria. By using content analysis and structural concept analysis, this study elucidates the extent and impact of AI application in HRM functions, which is followed by synthesizing a concept map that illustrates how the usage of various AI techniques aids HRM decision-making.

A comprehensive review of the AI-HRM domain’s existing literature is presented. A concept map is synthesized to present a taxonomical overview of the AI applications in HRM.

An original research agenda comprising relevant research questions is put forward to assist further developments in the AI-HRM domain. An indicative preliminary framework to help transition toward ethical AI is also presented.

This study contributes to the literature through a holistic discussion on the current state of the domain, the extent of AI application in HRM, and its current and perceived future impact on HRM functions. A preliminary ethical framework and an extensive future research agenda are developed to open new research avenues.

This paper aims to explore individuals’ economic empowerment and political empowerment association and the moderation role of entrepreneurship development programs on this relationship in the context of post-revolution Tunisia, which is a newer developing democracy.

The study uses a quantitative approach based on econometric modeling. A questionnaire was designed and administrated to a stratified random sample of 343 participants in the Entrepreneurship for the Participation and Inclusion of Vulnerable Youth in Tunisia program, funded by the United Nations Democracy Fund and implemented in rural northwestern Tunisia between 2017 and 2021. A coarsened exact matching method is also applied for robustness analysis.

The analysis shows that when individuals have enhanced economic decision-making agency and are involved in economic networks, they are more likely to demonstrate higher political empowerment. It also shows that expanding rural individuals’ economic opportunities by providing entrepreneurial resources, such as entrepreneurial training and microcredit, strengthens individuals’ economic empowerment and political empowerment association.

The study provides practical implications for policymakers in newer developing democracies. Citizens’ political empowerment and inclusion in rural areas could be promoted by developing entrepreneurship development programs, which could help reinforce the citizens-state relationship and establish more stable social contracts. The research also provides practical implications for the international development community, donor agencies and program designers through duplicating similar programs in other countries with weak central government structures (i.e. post-conflict environments, post-revolution).

The research attempts to contribute to the ongoing debates linking entrepreneurship, economic empowerment and political/citizen empowerment. It focuses on a Middle East and North Africa country, Tunisia, characterized by socioeconomic issues and low civic participation.

This chapter tries to capture the disparity in expenditure on primary education based on gender among the religious groups (Hindu, Muslim, and Christian) in rural India. The gender gap in education expenditure for a certain demographic group is calculated using the Oaxaca–Blinder decomposition approach. Further, we tried to identify the various household-related factors which might influence the decision of spending on a child's education. We used the 75th-level National Sample Survey Office (NSSO) unit-level dataset of July 2017 to June 2018 (one academic year) to obtain data on education expenditure and other household factors which play a manifesting role in the gender gap in expenditure on education. Our finding suggests that the total differential (log mean boys education expenditure-log mean girls education expenditure) is positive among all religious groups signifying the gender bias in education expenditure. We also found that the magnitude of the “Unexplained Effect” component is higher compared to the “Explained Effect” component signifying that the treatment of characteristics by students differs by their sex at elementary education. Household size and if household members are employed on a casual basis, then their expenditure on education falls on the other hand income of the household, a household with computer availability and household member engaged in regular wage/salary earning plays a positive role in expenditure on primary education in rural India.

Success of software projects depends on identification of project risks and managing the risks in a proactive manner. Risk management requires thorough insights into interrelationship of various risk factors for proposing strategies to minimize failure rate. The purpose of this paper is to develop a comprehensive structural model to interrelate important risk factors affecting the success of software projects.

Specifically, this study reveals how interpretive structural modelling helps the risk managers in identifying and understanding the interrelationship among various risk factors. A total of 23 risk factors (or risk sources) have been identified through an extensive literature review.

Necessary modelling information has been gathered from expert through a structured questionnaire survey. Matrice d’Impacts croises-multipication appliqué an classment analysis has been employed to classify the risk factors into four clusters such as autonomous, dependent, linkage and independent based on their driving and dependence power. Risk factors with strong dependence and weak driving power need urgent attention from managerial perspective.

The proposed model is useful for software managers/practitioners to address risk factors associated with complicated projects.

The paper aims to develop a comprehensive framework for adopting an information and communication technology (ICT)-enabled customer relationship management (CRM) system, toward strengthening and expanding the customer basis of the organization.

Advanced ICT-enabled CRM includes mobile CRM, AI integrated CRM and social CRM and several business organizations have already started exploring their advanced utilization for direct financial gain and indirect “soft” benefits. Most of them, however, are challenged in the process, due to lower-than-demanded adoption of such CRM systems. To deal with the issue, the paper methodologically applies a dual qualitative case study approach that ultimately develops an advanced comprehensive CRM adoption framework.

The key findings pertaining to the evaluation of organizations’ readiness to adopt advanced ICT-enabled CRM systems in terms of infrastructure and resources, the identification of the critical functional areas of the organization’s focus and the differences in the requisite approaches across industries and organization types.

In the context of the internet and social media, the analysis and management of customer big data and their transcription into useable information is crucial. Traditional and conventional CRM was deemed unable to address this need, thus necessitating the use of advanced ICT-enabled CRM. The proposed corresponding framework tangibly and practically, thus, directs businesses toward the successful deployment of ICT-based CRM systems.

This study constitutes a novel attempt to identify the issues of deployment of ICT-based CRM systems in an organization and proposes a comprehensive framework, which will enable organizations to overcome the barriers when adopting a new system.

The study examines the role of a country's legal system in predicting the corporate cash holdings using a sample of 18 countries inherited with distinct legal traditions. The central point of the study is the comparative assessment of legal frameworks in shaping the corporate finance policies.

The authors employ host of regression techniques including dummy variables, panel data regression and Fama–MacBeth regressions to establish the relationship.

The study results support the idea of “theory of law and finance” that legal tradition is a key factor determining corporate behaviour and policy. In particular, the authors observe that firms operating in civil law systems hold significantly higher cash as compared to their peers from common law systems. Moreover, the authors report that the law system affects the corporate cash holdings through the channels of economic development and shareholder's protection, yet in opposite directions. This is because the authors find that in developed countries where civil law tradition prevails, firms hold reasonably higher cash. Moreover, if the firm belongs to high investors' protection country with civil law traditions, the cash holdings get substantially reduced. Besides, the authors find that the predictability of widely held determinants of cash holdings is not invariant of law traditions, and it holds true also when analysed in conjunction with the financial crisis. Overall, the authors find support for their postulation that corporate cash management policies are likely to be different across legal traditions. The study results are robust to the controls for various firm and country-specific antecedents of cash holdings and to the alternate econometric techniques.

The study findings would encourage the government and firm policymakers and regulators in strengthening the investor protection rights which would further augment the legal system and firm-specific corporate governance mechanisms. This would mitigate agency issues and managers would be forced to undertake investor-friendly financial policies especially corporate cash holdings which would be resulting into shareholder value maximization.

The study contributes uniquely since the existing literature is largely silent on the role that legal tradition of a country has on the cash holdings of its firms.

This study aims to investigate a new circuitous minichannel cold plate (MCP) design involving flow fragmentation. The overall thermal performance and the temperature uniformity analysis are performed and compared with the traditional serpentine design. The substrate thickness and its thermal conductivity are varied to analyse the effect of axial-back conduction due to the conjugate nature of heat transfer.

The traditional serpentine minichannel is modified into five new fragmented designs with two inlets and two outlets. A three-dimensional numerical model involving the effect of conjugate heat transfer with a single-phase laminar fluid flow subjected to constant heat flux is solved using a finite volume-based computational fluid dynamics solver.

The minimum and maximum temperature differences are observed for the two branch fragmented flow designs. The two-branch and middle channel fragmented design shows better temperature uniformity over other designs while the three-branch fragmented designs exhibited better hydrodynamic performance.

MCPs could be used as an indirect liquid cooling method for battery thermal management of pouch and prismatic cells. Coupling the modified cold plates with a battery module and investigating the effect of different battery parameters and environmental effects in a transient state are the prospects for further research.

The study involves several aspects of evaluation for a conclusive decision on optimum channel design by analysing the performance plot between the temperature uniformity index, average base temperature and overall thermal performance. The new fragmented channels are designed in a way to facilitate the fluid towards the outlet in the minimum possible path thereby reducing the pressure drop, also maximizing the heat transfer and temperature uniformity from the substrate due to two inlets and a reversed-flow pattern. Simplified minichannel designs are proposed in this study for practical deployment and ease of manufacturability.

Notable energy losses and voltage deviation issues in low-voltage radial distribution systems are a major concern for power planners and utility companies because of the integration of electric vehicles (EVs). Electric vehicle charging stations (EVCSs) are the key components in the network where the EVs are equipped to energize their battery. The purpose of this paper is coordinating the EVCS and distributed generation (DG) so as to place them optimally using swarm-based elephant herding optimization techniques by considering energy losses, voltage sensitivity and branch current as key indices. The placement and sizing of the EVCS and DG were found in steps.

The IEEE 33-bus test feeder and 52-bus Indian practical radial networks were used as the test system for the network characteristic analysis. To enhance the system performance, the radial network is divided into zones for the placement of charging stations and dispersed generation units. Balanced coordination is discussed with three defined situations for the EVCS and DG.

The proposed analysis shows that DG collaboration with EVCS with suitable size and location in the network improves the performance in terms of stability and losses.

Stability and loss indices are handled with equal weight factor to find the best solution.

The proposed method is coordinating EVCS and DG in the existing system; the EV integration in the low-voltage side can be incorporated suitably. So, it has societal impact.

In this study, the proposed method shows improved results in terms EVCS and DG integration in the system with minimum losses and voltage sensitivity. The results have been compared with another population-based particle swarm optimization method (PSO). There is an improvement of 18% in terms of total power losses and 9% better result in minimum node voltage as compared to the PSO technique. Also, there is an enhancement of 33% in the defined voltage stability index which shows the proficiency of the proposed analysis.