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This research investigates the behavior of granulated sugar particles of different sizes in a rotating drum at varying speeds, using the discrete element method (DEM) as a mathematical modeling approach.

The study conducted a data scan to determine both static and rolling friction coefficients. Based on benchmark studies, the Hertz–Mindlin contact model with rolling history elastic-plastic spring-dashpot (EPSD) and CDT (directional constant torque) models were employed to simulate the behavior of granulated sugar particles in a rotating drum under varying speeds.

In this research, the static and rolling friction coefficients presented the best values for granulated sugar near 0.60 and 1.5, respectively, applying the CDT model. The method demonstrated great accuracy in replicating experimental data.

This study enables comprehension of the behavior of the particles and particle system in a rotating drum at different speeds. The method may develop models that characterize and predict the main effects of particle systems to reduce project time and expense, especially in the food industry.

The introduction of gender quota laws in many countries has garnered significant attention in the literature and in the political discourse. Proponents of this solution emphasise its potential to bolster opportunities for women, foster their participation on boards of directors and improve corporate governance, market value and firm performance. Conversely, opponents express concerns regarding the possibility of appointing less-qualified women, thereby diminishing board effectiveness and potentially leading to negative consequences on firm market value and performance. This study aims to address this ongoing debate by examining the impact of gender quota laws on firm performance.

The impact of gender quota laws on firm performance, measured through ROE, ROA and ROI, is evaluated using a database of 27,977 Italian firms and adopting a two-stage traditional treatment effect model.

The econometric analysis reveals a negative impact of the gender quota law on firm performance.

This study contributes to the academic debate on the pros and cons of imposing gender quota laws by providing empirical evidence on their impact on firm performance.

This systematic literature review examines the domain of sports sponsorship involving controversial industries. We delve into the shared patterns, differences and overarching themes prevalent across various dark consumption industries (i.e. alcohol, food and beverages high in fat, salt and sugar, gambling and tobacco).

This study systematically reviews research on controversial sports sponsorships (CSS). Literature searches in Web of Science and Scopus, and additional searches in reference lists resulted in a total of 90 publications meeting the inclusion criteria, which can be grouped into three research clusters: prevalence, impact and (in)appropriateness of CSS.

This review revealed a high prevalence of so-called controversial sponsors in sports, particularly in – but certainly not limited to – soccer. Especially gambling sponsorships have become more prominent in recent years. Ethical concerns surfaced since CSS are positively related to attitudes, preferences, purchase intention and consumption, potentially causing health-harming consequences for children and adults.

This study provides scholars and practitioners with insights to advocate for policy measures curbing CSS.

In light of the identified research gaps, we propose a research agenda to particularly investigate causal relationships between exposure to CSS and its impact by conducting longitudinal and experimental research. Additionally, we propose to establish a consumer-centered framework for processing CSS.

Due to the increase in energy demand and the effects of global warming, energy-efficient buildings have gained significant importance in the modern construction industry. To create a suitable framework with the aim of reducing energy consumption in the building sector, the external walls of a residential building were considered with two criteria of global warming potential and energy consumption.

In the first stage, to achieve a nearly zero-energy building, energy analysis was performed for 37 different states of thermal insulation. Then, the insulation materials’ life cycle assessment was performed. These results were used to find a set of optimal modes in the Pareto front by using non-dominated sorting genetic algorithm II multi-objective genetic algorithm. Thus, based on the data obtained from this method, it was possible to compare and choose different thermal insulation materials based on the distance from the Pareto front, reducing the environmental effects.

The results showed that replacing the windows was possible to save 3.24% in energy consumption. Also, selecting the proper insulation reduced energy consumption value by 63.13%. Finally, this building can save 69.31% of energy consumption compared to the base building by following the zero-energy building standard. As a result, the Pareto curve was introduced as a guide for the optimal design of the building’s wall insulation.

The proposed method provides designers with a framework for latent carbon analysis to access quickly and select optimal scenarios. It can also be used without restrictions for other decisions with different goals and criteria.

The purpose of this study is to investigate the impact of organisational socialisation tactics, namely, context-based, content-based and social-based tactics, on affective commitment by the mediating role of perceived organisational support.

A quantitative study was conducted using a judgmental sample of 119 newcomers with one-year experience or less in Jordanian small and medium-sized enterprises. The collected data were analysed using bootstrapped procedure by the partial least squares-structural equation modelling.

The empirical results show that perceived organisational support plays a crucial role in mediating the relationships between socialisation tactics and affective commitment. Specifically, both social-based tactics and content-based tactics have a significant indirect effect on affective commitment through perceived organisational support. However, context-based tactics do not directly or indirectly influence affective commitment or perceived organisational support significantly.

To the best of the authors’ knowledge, this study is among the first studies in the Jordanian context that investigate the relationship between organisational socialisation and affective commitment by the mediating role of perceived organisational support, thus adding originality to the existing literature. Furthermore, this study contributes to the scholarly debate on the relationship between socialisation and outcomes.

In this chapter, we review the historical development of elite theory, and then we propose a way forward beyond it. Elite theory emerged as a critique of democracy in the late 19th century. Although it used historical materials illustratively, it tended to be ahistorical theoretically because its primary aim was to demonstrate the perdurance of elites even in conditions of mass suffrage. Lachmann was the first scholar to develop elite theory as a truly historical and explanatory framework by combining it with elements of Marxism. Even Lachmann's theory, however, remained inadequate because it did not rest on a fully articulated theory of power. In this introduction, we suggest a “relational power theory” as a remedy to this situation, and we use it to formulate a general heuristic for the study of elites, nonelites, and their interrelationships. To illustrate its utility, we show how it can illuminate the chapters in this volume (though they were not necessarily written for these purposes).

This literature review aims to explore the various aspects of psychological capital (PsyCap), including its theoretical foundations, measurement methods, and the factors directly associated with PsyCap.

The approach employed in this study is scientific document synthesis, with a specific emphasis on scholarly articles published between 2001 and 2023. The selection of articles is limited to those published in internationally renowned journals that are indexed by reputable databases, including ISI (WoS) and SJR (Scopus).

Psychological capital is closely linked to other concepts at different levels. Scholars are investigating various factors associated with PsyCap, including health, project success, service marketing, banking services. It is important to note that different research areas have varying conceptualizations and scales when it comes to PsyCap.

This literature review of related studies reveals a growing global interest among researchers in the concept of positive psychological capital. The research results have shown significant interest in the items related to PsyCap, and and the factors directly associated with it, including antecedents, mediators, moderators, and outcomes.

This study illustrates the conceptual framework that expands the knowledge of the fundamental components that describe how AI-driven servant leadership (SEL) influences the job resources (JR), work engagement (WE) and job performance (JP) of tourism and hospitality employees.

The empirical study was conducted on a sample of 953 international tourism and hospitality employees who were selected via a purposive and snowball sampling approach in a cross-sectional survey. The analysis was performed using a partial least square-structural equation modeling.

The results of this study confirmed the positive impact of AI-driven SEL on employee JR with the boundary conditions of AI-driven SEL.

This study finding assists tourism and hospitality practitioners in understanding that in the near future, AI will have a major effect on the nature of work, including the impact on leadership styles. Hence, AI-driven SEL holds both positive (through direct impact on JR) and negative (via boundary conditions) impacts on employees’ JP and ultimately organizational success. Accordingly, managers should employ AI-driven SEL to increase employees’ JR, and once employees achieve high WE, they should constrict AI-driven SEL boundary conditions and their influence between JR and WE and WE and JP.

This study offers a novel and original conceptual model that advances AI-driven social theory, SEL theory and job demands-resources (JD-R) theory by synthesizing, applying and generalizing gained knowledge in a methodical way.

This research explores the antecedents of tourist satisfaction and revisit intention, especially in light of the post-pandemic environment that pushed tourism to the lowest level in the present decade. A comprehensive conceptual model based on the brand equity theory (BET) is developed, and interrelationships between brand heritage, community support and benefits, hedonism, culture, tourist satisfaction and revisit intention.

The data were collected from 670 tourists visiting one of the heritage destinations in southern India (Kanchipuram). After checking the psychometric properties of the survey instrument, the hypotheses were tested using path analysis and Hayes's PROCESS macros.

The results indicate that heritage brand of destination sites is positively associated with (1) tourist satisfaction and (2) tourist revisit intention. The findings also support the positive effect of attractiveness of products is positively related to tourist satisfaction, which in turn, is a significant predictor of tourist revisit intention. The findings also support that community support benefits moderating the relationship between heritage brand and attractiveness of products in heritage destinations tourist satisfaction.

This study has several implications for practicing managers engaged in maintaining heritage destinations. As this research highlights the importance of heritage brands of destinations in influencing tourist satisfaction, local communities and policymakers need to provide the necessary infrastructure and facilities at these destinations. Further, local entrepreneurs are motivated to invest in delivering products that attract tourists.

The conceptual model developed in this study, is first of its kind, to the best of the authors’ knowledge, that investigates the effect of hedonism (second moderator) moderating the relationship between tourist satisfaction and culture (first moderator) in influencing tourists to revisit their intention. In addition to direct relationships, the moderating role of community support and benefits, culture and hedonism makes a unique contribution to the bourgeoning literature on tourism especially in Indian context.

In the face of numerous explanations for why AI-driven decision support systems (DSS) have failed to deliver on their promise of improving organizational decision-making, this paper problematizes the under-theorized mismatch between the design of DSS and the actual decision-making processes that the technology is supposed to support. We examine this mismatch by studying the implementation of a DSS in the intensive care unit (ICU) of a large academic hospital.

Based on 27 months of ethnographic fieldwork, we contend that the studied DSS was designed on the assumption that individual intensivists are responsible for making life-critical discharge decisions at one particular moment in time.

However, our study of actual decision-making practices reveals that discharge decision-making is instead a protracted process, involving multiple actors fragmented across time and space. To account for these complexities, we advocate for a “dynamic routines” perspective, which highlights the actual patterns of action pursued throughout a clinical decision-making process.

Our application of this perspective contributes to a more granular understanding of discharge decision-making, which can help future DSS designers better grasp the peculiarities and complexities—or “anatomy”—of the decision-making process. We also suggest integrating an “anticipatory ethnographic approach” into the design and pre-implementation phases of future DSS to help bridge the current gap between design assumptions and actual decision-making practices.