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In this chapter, the authors review talent management in the research university sector, business schools in particular. The authors adopt an “exclusive” perspective on talent management, assuming that some scholars contribute disproportionately to organizational performance. The authors identify two particular groups of scholars likely to be the target of exclusive talent management practices in business schools: (i) faculty on a tenure track career path and (ii) “star” tenured faculty with exceptionally strong track records. Focusing on these current and potential future “stars,” the authors review and discuss talent management practices related to talent identification, recruitment and selection, performance management, talent development, benefits and rewards, and tenure, promotion, and retention. In the extant literature, these topics have been mostly examined in the general university environment and less so in the business school context. This is somewhat problematic given that business schools have their own special characteristics. Moreover, some of the reviewed topics – especially talent development – have received only marginal scholarly interest thus far. Based on this literature review, and by drawing on their own experience working in different roles in academia, the authors highlight some of the gaps in the current body of knowledge and propose an agenda for future research.

The purpose of this study is to measure the effects of density, moisture, fiber content on unconfined compressive strength (UCS) of soil by formulating the models based on evolutionary approach and artificial neural networks (ANN).

The present work proposes evolutionary approach of multi-gene genetic programming (MGGP) to formulate the functional relationships between UCS of reinforced soil and four inputs (soil moisture, soil density, fiber content and unreinforced soil strength) of the silty sand. The hidden non-linear relationships between UCS of reinforced soil and the four inputs are determined by sensitivity and parametric analysis of the MGGP model.

The performance of MGGP is compared to those of ANN and the statistical analysis indicates that the MGGP model is the best and is able to generalize the UCS of reinforced soil satisfactorily beyond the given input range.

The explicit MGGP model will be useful to provide optimum input values for design and analysis of various geotechnical infrastructures. In addition, utilization of Water hyacinth reinforced fiber reinforced soil will minimize negative impact of this species on environment and may generate rural employment.

This work is first of its kind in application and development of explicit holistic model for evaluating the compressive strength of heterogeneous soil blinded with fiber content. This includes the experimental and cross-validation for testing robustness of the model.

The functioning of multi-gene genetic programming (MGGP) algorithm suffers from the problem of difficulty in model selection. During the preliminary analysis, it is observed that there are many models in the population whose performance is better than that of the model selected with a little compromise on training error. Therefore, an ensemble evolutionary (Ensemble-MGGP) approach is proposed and applied to the data obtained from the vibratory finishing process. The paper aims to discuss these issues.

Unlike the standard GP, each model participating in Ensemble-MGGP approach is made by combining the set of genes. Predicted residual sum of squares criterion (PRESS) criterion is integrated to improve its evolutionary search. The parametric analysis and sensitivity analysis (SA) conducted on the proposed model validates its robustness by unveiling dominant input parameters and hidden non-linear relationships.

The results indicate that the proposed Ensemble-MGGP model outperforms the standardized MGGP model. SA and parametric analysis reveals relationships and insights into vibratory finishing process.

Literature emphasises on characterization of vibratory finishing process using the experimental-based-studies. In addition, the issue of difficulty in model selection in genetic programming is addressed. This work proposes a new ensemble evolutionary approach to counter these issues.

Venezuela ranks fifth in the world in oil proven reserves and has the largest accumulation of liquid fuel in the world. With its importance as an oil country, many countries including the U.S. have expressed concerns about Venezuela’s current economic and political situation. Using the popular SWOT analysis, Strengths, Weaknesses, Opportunities and Threats facing the country, are identified. The discussion and conclusions summarize the observations and address the relative tradeoffs within the country. Finally goals and policies appropriate for Venezuelan reform are presented.

Considering sustainability and resilience together is crucial in food supply chain (FSC) management, as it ensures a balanced approach that meets environmental, economic and social needs while maintaining the system's capacity to withstand disruptions. Towards this, a multi-objective optimisation model is proposed in this study to create an integrated sustainable and resilient FSC. The proposed model employs four objective functions – each representing a dimension of sustainability and one for resilience and utilises an augmented ϵ-constraint method for solving. The findings highlight the interplay between sustainability aspects and resilience, illustrating that overemphasis on any single dimension can adversely affect others. Further, the proposed model is applied to the case of Indian mango pulp supply chain and several inferences are derived. The proposed model would assist decision-makers in making a well-balanced choice based on sustainability and resilience considerations.

The purpose of this research is to propose a framework for research on Macaulay duration and establish future research directions.

Thematic, bibliometric and content analyses have been used to review 168 research papers published between 1938 and 2019 taken from ISI Web of Science and Scopus contributed by leading authors, journals and regulatory bodies.

Identification and integration of themes of duration theory, duration model development and duration model implementation leading to unattended research gaps, and framework for research on Macaulay duration.

The study is based on an extensive review of the literature to extract important themes, research gaps and frameworks. It does not empirically investigate significance of Macaulay duration and various sectors.

This research has several aspects that are helpful for practitioners. Macaulay duration has been the subject of empirical research only without any guiding framework. This research provides a platform to initiate profound researches in various areas of finance. Various proposed models are required to be tested under holistic approach in conventional and emerging fields, especially in Islamic settings.

This research highlights, research themes leading to framework, research gaps and factors that are crucial in developing, extending and testing duration models leading to enhancement of theoretical base of Macaulay duration.

Green roofs are acknowledged as a method to substitute greenery washed out by the urbanization. They provide many ecological and sustainable benefits of greenery; reduce the adverse effects of high-rise building constructions. Though this concept is more popular across many countries over the past few decades, still, implementation of this technology in Sri Lanka is new and scant. Hence, the purpose of this paper is to identify and analyze the potential of green roofs in high-rise buildings in Sri Lanka.

The data collection was conducted through expert interviews and questionnaire survey. Expert interviews were carried out to validate the prospects and restraints identified through literature review to the Sri Lankan context and analyzed using content analysis. Questionnaire survey identified the most significant prospects and restraints using descriptive statistics and paired sample t-test. Purposive sampling was used to select participants.

Reduction of air pollution, aesthetical appearance, thermal benefits and energy savings, reduction of an urban heat island effect, the addition of points in the green rating system are the top most significant prospects that need to be highlighted in promoting green roof systems in Sri Lankan high rises. Less space allocation on rooftops, lack of technical competence and lack of awareness and research are restraints that need most effective elimination strategies to encourage green roof systems.

The first identified and quantified prospects and restraints for green roof system in Sri Lankan high-rise buildings can be utilized by the government, donors, multi-lateral agencies to promote the sustainable development in Sri Lanka and this knowledge could be used in different scale awareness programs. The value of this paper is such that the paper discusses the links of green roofs with the other facets of sustainability. The new legal reforms and amendments in Sri Lanka could potentially be pending with findings of this study.

This study aims to critically examine talent management practices and strategies from ethical and responsible management perspectives.

It achieves its aim through conceptual analysis by theorising through the lenses of talent philosophies, the organisational justice theory, the stakeholder theory and extant literature.

A responsible talent management construct and mode to guide the practice of talent management in a socially responsible way is developed. It argues that inclusivity; corporate responsibility; and equity and equal employment opportunity are the key underlying principles of a responsible talent management system. This study further argues that responsible talent management practices promote achievement of multilevel sustainable outcomes such as decent work, employee well-being and organisational well-being.

Emphasising responsible management and ethical concerns in organisational talent strategies and practices is non-negotiable, given the current level of interest in sustainable work and employment and in the quest to achieve sustainable human and organisational outcomes through management and organisational practices.

The development of a responsible talent management construct and model is original and novel and is expected to shape thinking and drive new research directions in the field of talent management. It further contributes directly to knowledge and practice by demonstrating how organisations can manage their talents in a responsible way.

The purpose of this research study was to examine the role of Social Networking Technologies (SNT) in developing Public Services Supply Chain (PSSC) during COVID-19 pandemic. Due to lack of sufficient support from corporations and non-government groups, citizens in developing democracies were dependent upon their governments for the delivery of vital public services. During the COVID-19 epidemic, a number of organisations attempted to assist governments in managing the supply of public services. However, organisations often lacked a thorough grasp of how to cultivate social ties for the delivery of efficient and effective public services for citizens. In this research work, to study the delivery of efficient and effective public services to citizens, the authors have proposed a social network viewpoint. This was at a ‘meso-level’ lens so as to examine the intersection between organisational SNT and PSSC. According to the qualitative study conducted in this research work, it became evident that organisational social ties could play a significant role in facilitating homophilic and heterophilic ties. This was specially so for the distribution of public services in pandemic situation like COVID-19. However, the research study findings also found out that these network forces were highly dynamic and dependent upon a set of factors. These factors included tie frequency, the sequencing of interaction with social ties and the prevailing norms. This research study enriched the understanding regarding the role of SNT. This was in the context of developing PSSC during critical crisis situations such as prevalent during COVID-19 pandemic. This research study offered a better understanding of social ties and motivational factors in the social networking environment. The social ties were analysed based on the contact incidents of six participants focusing on the PSSC during the COVID-19. Future research studies could consider a diverse set of participants in complex global PSSC consisting of multiple constraints. Furthermore, this research study had practical implications for managers. The study revealed that homophilic social ties were more supportive as compared to the sequence of interactions starting with heterophilic ties. Therefore, managers needed to develop better PSSC especially as compared to unrelated institutions.