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The purpose of this paper is to derive a force‐velocity characteristic for an eddy current brake with minor computational effort.

The speed range is split into two domains. While in the low‐speed domain it is possible to achieve a closed form expression for the force‐velocity characteristic in the high‐speed region approximations have to be introduced.

The derived relation for the force‐velocity characteristic has been compared with measurement results. The comparison shows that the approach yields good results for not too large air gaps.

A combination of analytical and approximative methods has been used for the determination of the force‐velocity characteristic of an eddy current brake with two pole pairs.

Purpose: The purpose of this chapter is to identify innovative talent management strategies, programmes, and practices that hospitality companies use in order to identify, develop, and retain their talent. For this purpose, awardees of the Hospitality HR Award were analysed. The award is an established prize in the German-speaking area. General success factors for innovative talent management are identified and the results are compared to international research of talent management in hospitality organisations.

Methodology: The chapter uses a qualitative content analysis approach. All award winners of the Hospitality HR Award since its launch in 2013 (N=60) are analysed.

Findings: The award winners followed different talent management strategies (e.g. cultural and leadership development), programmes (e.g. apprenticeship development programmes), and practices (e.g. fast and digital recruiting processes). Reported outcomes ranged from higher job satisfaction and lower staff turnover to a better work–life balance. General success factors included, among others, the importance of alignment of owners’ and managers’ interests and an integrated view on talent management.

Practical implications: Many talent management strategies, programmes, and practices are specified that may inspire hospitality organisations to employ more innovative approaches to talent management.

Originality: This chapter provides systematic qualitative evidence for and adds to the limited body of knowledge on innovative talent management strategies, programmes, and practices of hospitality companies. Furthermore, the chapter considers both strategic and operational views on talent management.

Circular building adaptability (CBA) in adaptive reuse – building transformation – projects can facilitate a resource-efficient and futureproof redevelopment of the built environment. However, there has been a lack of practical tools that guide practitioners on how to foster CBA in adaptive reuse. Therefore, this study aims to collaboratively develop a guiding framework for CBA in adaptive reuse (CBA-AR) projects in general. The CBA-AR framework is a descriptive and content-oriented synthesis mapping a series of strategies to the CBA determinants alongside their enablers and inhibitors.

A participatory research-oriented approach was followed. First, an archival research was conducted to develop the CBA-AR framework based on literature review and case studies. Second, two co-creation workshops, triangulated with structured interviews, were conducted to validate and expand the framework.

The first version of the CBA-AR framework comprises 30 CBA strategies. It also brings seven enablers and six inhibitors together with the 30 CBA strategies. The outcomes of the participatory approach contributed to refining and expanding the framework. The final of the CBA-AR framework version comprises CBA 33 strategies. This version brings 10 enablers and 7 inhibitors together with the 33 strategies.

This framework can be used as a guiding and reporting instrument by designers and property developers while transforming vacant or obsolete properties in the Netherlands. Policy makers can refer to this framework and amend adaptive reuse legislation.

The CBA-AR framework can introduce a transformative change in theory and practice, as it is based on theoretical, empirical and participatory research.

An aerothermodynamic design code for axisymmetric projectiles has been developed using a viscous‐inviscid interaction scheme. Separate solution procedures for the inviscid and the viscous (boundary layer) fluid dynamic equations are coupled by an iterative solution procedure. Non‐equilibrium, equilibrium and perfect gas boundary layer equations are included. The non‐equilibrium gas boundary layer equations assume a binary mixture (two species; atoms and molecules) of chemically reacting perfect gases. Conservation equations for each species include finite reaction rates applicable to high temperature air. The equilibrium gas boundary layer equations assume infinite rate reactions, while the perfect gas equations assume no chemical reactions. Projectile near‐wall and surface flow profiles (velocity, pressure, density, temperature and heat transfer) representing converged solutions to both the inviscid and viscous equations can be obtained in less than two minutes on minicomputers. A technique for computing local reverse flow regions is included. Computations for yawed projectiles are accomplished using a coordinate system transformation technique that is valid for small angle‐of‐attack. Computed surface pressure, heat transfer rates and aerodynamic forces and moments for 1.25 &le Mach No. &le 10.5 are compared to wind tunnel and free flight measurements on flat plate, blunt‐cone, and projectile geometries such as a cone‐cylinder‐flare.

The purpose of this paper is to apply self-determination theory (SDT) to green supply chain management (GSCM) and explore how green supplier selection (GSS) drives GSCM performance and how realisation of improved GSCM performance is contingent upon SDT mechanisms of autonomy, competence and relatedness.

This study draws on 18 semi-structured interviews and secondary data from a Germany-based first-tier aircraft interior manufacturer and its six key suppliers. The focal company was selected because it is recognised as having achieved high GSCM standards in the aerospace industry.

The study draws out the importance of GSS, distinguishing between new and legacy suppliers, and offers significant insights into how suppliers’ motivation and downstream GSCM criteria can be internalised in second-tier suppliers to drive GSCM performance.

GSS should be considered not only for new suppliers but also at an ongoing basis for legacy suppliers. Focal companies must realise the importance of motivating supply chain partners to realise GSCM practices and need to first build-up autonomy before focussing on competence and relatedness sub-dimensions.

The authors make a significant contribution to the GSCM literature by conducting a study of first-tier-second-tier relationships, thus moving beyond the buyer-supplier relationships investigated in extant studies. The results theoretically and empirically draw out key factors in GSS and supplier motivation in engaging with GSCM practices, thus driving GSCM performance.

The study examines the impact of behavioral biases, such as herd behavior, overconfidence and reactions to ESG News, on Socially Responsible Investing (SRI) decisions in the Indian context. Additionally, it explores gender differences in SRI decisions, thereby deepening the understanding of the factors shaping SRI choices and their implications for sustainable finance and gender-inclusive investment strategies.

The study employs Bayesian linear regression to analyze the impact of behavioral biases on SRI decisions among Indian investors since it accommodates uncertainties and integrates prior knowledge into the analysis. Posterior distributions are determined using the Markov chain Monte Carlo technique, ensuring robust and reliable results.

The presence of behavioral biases presents challenges and opportunities in the financial sector, hindering investors’ SRI engagement but offering valuable opportunities for targeted interventions. Peer advice and hot stocks strongly predict SRI engagement, indicating external influences. Investors reacting to extreme ESG events increasingly integrate sustainability into investment decisions. Gender differences reveal a greater inclination of women towards SRI in India.

The sample size was relatively small and restricted to a specific geographic region, which may limit the generalizability of the findings to other areas. While efforts were made to select a diverse sample, the results may represent something different than the broader population. The research focused solely on individual investors and did not consider the perspectives of institutional investors or other stakeholders in the SRI industry.

The study's practical implications are twofold. First, knowing how behavioral biases, such as herd behavior, overconfidence, and reactions to ESG news, affect SRI decisions can help investors and managers make better and more sustainable investment decisions. To reduce biases and encourage responsible investing, strategies might be created. In addition, the discovery of gender differences in SRI decisions, with women showing a stronger propensity, emphasizes the need for targeted marketing and communication strategies to promote more engagement in sustainable finance. These implications provide valuable insights for investors, managers, and policymakers seeking to advance sustainable investment practices.

The study has important social implications. It offers insights into the factors influencing individuals' SRI decisions, contributing to greater awareness and responsible investment practices. The gender disparities found in the study serve as a reminder of the importance of inclusivity in sustainable finance to promote balanced and equitable participation. Addressing these disparities can empower individuals of both genders to contribute to positive social and environmental change. Overall, the study encourages responsible investing and has a beneficial social impact by working towards a more sustainable and socially conscious financial system.

This study addresses a significant research gap by employing Bayesian linear regression method to examine the impact of behavioral biases on SRI decisions thereby offering more meaningful results compared to conventional frequentist estimation. Furthermore, the integration of behavioral finance with sustainable finance offers novel perspectives, contributing to the understanding of investors, investment managers, and policymakers, therefore, catalyzing responsible capital allocation. The study's exploration of gender dynamics adds a new dimension to the existing research on SRI and behavioral finance.

The purpose of this paper is to do a thorough literature review to assess the current status of corporate sustainability practices, issues and challenges in small and medium-sized enterprises (SMEs) and, based on literature, suggest a model that can improve and strategically manage their sustainability practices in the emerging market context of Asia.

The authors did a meta-analysis of the reviewed literature taken from peer-reviewed scholarly journals in the time frame of 1985-2016. Methodology used by the authors is through preferred reporting items for systematic reviews and meta-analysis.

Corporate sustainability is a well-practiced area in big organisations. However, literature suggests that in case of SMEs, the situation is different. Social and environmental practices are grossly neglected in SMEs, more specifically in emerging markets. Existing literature mentions that collaborative mode of operation, government policy and facilitation and supporting organisation culture can positively influence SME’s sustainability performance and hence improve their financial performance.

Most of the papers in corporate sustainability literature are qualitative in nature and there is no empirical evidence of establishing this relationship in SME context. This paper tries to conceptualise the existence of a possible framework relating factors of sustainability and their role in improving business performance of the SMEs. However, the findings are purely literature-based and piloting of the questionnaire is also done on 20 SMEs in a specific geography. This is a very small and also a biased sample. Future research studies based on this paper are expected to verify the proposed relationship with larger data set catering to different industry clusters and countries.

The proposed model is only directional in nature. With the content analysis, the authors have tried to answer the research questions relating to factors of sustainability and its impact on business performance. To address the research questions in a more generalised way, an empirical research needs to be conducted to establish the research propositions. The proposed model needs to be validated and optimised with further research and data analysis. Once such a model is established, this can be proved beneficial for providing guidance to SMEs to enhance the sustainability of their business operations.

The SME sector has made a significant contribution to the economic development in countries, and this sector has huge potential for growth, and their geographic spread and penetration is much higher than large organisations. Sustainable growth of this industry sector can reasonably be expected to lead to stable and sustainable development of the nation. Moreover, environmental and social best practices adopted by SMEs will also have a positive influence on society and environment in the long run.

This paper had done a geography wise analysis of sustainable practices in SMEs, and based on the recommendations and suggestions of different analyses, the authors developed few research propositions and also presented a conceptual model. Finally, to address the gap, it mentions some future research possibilities to test and validate the proposed model in the context of SMEs in emerging markets of Asia.

The purpose of this paper is to analyze the performance of a data center and thermal management by using phase change material (PCM). Numerical studies were conducted for two dimensional model of data center and installation of PCM at different locations.

Finite volume method was used for the unsteady problem, while impacts of air velocity and PCM location on the flow field, thermal pattern variations and phase change dynamics were evaluated. Three different locations of the PCM were considered while air velocity was also varied during the simulation. Thermal field variations and cooling performance of the system for different PCM location scenarios were compared.

It was observed that the installation of the PCM has significant impacts on the vortex formation, thermal field variation within the system and its performance. The left, right and top wall installation of the PCM changed the thermal patterns near the heat cell of the data centre. The phase change process is fast for the upper wall installation of the PCM, while the discrepancy of the melt fraction dynamics between different air flow at this position is minimum. The case where PCM placed in the upper wall at the highest air velocity is the best configuration in terms of heat storage. The utilization of PCM and changing its locations provide an excellent tool for thermal management and cooling performance of data centre.

Results of this study can be used for initial design and optimization of cooling systems for thermal management of data centers while the importance of the high-performance computing becomes very crucial for the advanced simulations in different technological applications.