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The main aim of the present research is to investigate the role of sense of calling (SOC) in the relationships between human resource practices (HRP), turnover intention (TI) and employee satisfaction (ES) in the hotel industry. Moreover, it also examines whether the relationships between these variables are different for city and resort hotel employees.

Quantitative research was employed to test the proposed hypotheses, and the survey technique was used to collect data. The participants of the research consist of 432 hotel employees who work in Antalya, Turkey. The hypotheses were tested using the partial least squares structural equation modeling (PLS–SEM) analyses.

The results of the analysis have shown that SOC significantly impacts the ES and TI, and HRP could be a new antecedent of SOC. On the other hand, while ES is positively affected by HRP, the SOC has a moderating role in the relationship between these variables.

Hotel authorities' understanding of the SOC’s role in employee attitudes and behavior would be a significant factor not only in retaining them but also in reducing employee turnover. They should consider increasing employees' SOC by focusing on HRP.

Besides being one of the few studies that have discussed SOC in the hospitality literature, the current study also contributes by examining the role of SOC in the relationships between HRP, ES and TI. It also adds value to the calling literature by revealing whether the relationship between these variables differs for city and resort hotel employees.

Guided by the salutogenic model of health and well-being, this study aims to use empirical measures of sense of coherence (SOC) and generalized resistance resources (GRRs) to gain a better understanding of the facilitators of successful transition and integration of refugees to Canada and relate these findings to current program development and delivery for the settlement of refugees.

Survey research and structural equation modeling.

The authors found that newcomers with a stronger SOC were more likely to report successful integration outcomes. GRRs were found to have both direct and indirect effects on the positive settlement of refugees, with the SOC acting as a strong mediator of indirect effects.

Owing in part, to the disruption caused by the global pandemic, the authors’ data collection period was protracted and the final sample size of 263 is smaller than the authors would have preferred. Another limitation of this study has to do with its cross-sectional design, which limits the articulation of cause-and-effect relationships among the variables.

In terms of program development and delivery for the settlement of refugees, the authors’ results provide further evidence that refugee participation in socially valued decision-making represents a key determinant of healthy resettlement.

Much research on refugee settlement originates within “a pathogenic paradigm” that focuses on the stressors and obstacles encountered by people who have been displaced. Taking its cue from Israeli health sociologist, Aaron Antonovsky’s salutogenic model of health and well-being, this study uses empirical measures of Antonovsky’s interrelated concepts of SOC and GRRs to gain a better understanding of the facilitators of successful transition and integration of refugees to a prairie province in Canada and relate these findings to current program development and delivery for the settlement of refugees.

This chapter introduces the tenets of international student critical race theory (IntlCrit) by expanding the critical race methodology to better account for the racialized experiences of international students of color (SOC) in higher education. IntlCrit emphasizes recognizing international SOC as a racialized student body and acknowledges international students' different racial contexts and experiences in their home countries beyond the US dominant monolithic paradigm of racism (Black and White). IntlCrit provides a conceptual foundation for scholarly discourse on race and racism by offering a set of tailored tenets while utilizing tenets of critical race theory (CRT). The tailored tenets can further advance critical analyses to examine developmental processes of racial “othering” and understand the ways that racism affects international SOC in the internationalization of higher education. The IntlCrit tenets include: recognizing and humanizing international SOC as a racial body; evolving international students' eyes (racial identity development); acknowledging intersectional and transnational identities; using an expansive and inclusive historical approach; centering race and racism on international students' experiential knowledge; challenging notions of color-evasiveness and meritocracy in the internationalization of higher education; and committing to global justice. While IntlCrit tenets are focused on addressing the contexts of international students, the framework provides critical perspectives that can be useful in understanding the experiences of different international student groups by nationality or region. Indeed, it can contribute to more extensive discussions regarding how racism functions globally and in the United States. Lastly, it is important to note that the IntlCrit tenets are not definitive or permanent but are a meaningful initiative that challenges inequities and inequalities toward international students' racial experience. I hope the IntlCrit perspectives contribute to including race and racism in international education scholarship and enhancing the policies and practices in diversity, equity, and inclusion to embrace the global, multicultural, and multi-ethnic/racial contexts.

Sustainability has become a priority for companies due to pressure from multiple stakeholders. In an overly competitive market, shareholders push for economic results, allowing lean manufacturing to establish itself as dominant paradigm in manufacturing. However, concerns grow regarding how lean implementation can allow companies to achieve sustainable development goals, or, if the resources required for a successful lean implementation can result in a detriment of environmental and social performance. This paper intends to help close the knowledge gap regarding the effects of lean manufacturing on sustainable performance from a triple bottom line perspective, and how operational, environmental and social outcomes interact between themselves.

Two models for the interaction between lean and sustainability were proposed. The first is called the “sand-cone” model, which poses that performance improvements derived from lean are cumulative on each one of the sustainability dimensions. The second is called the “trade-offs” approach. In this case, the resources required to improve one dimension of sustainability clash with those required by the others. Data were gathered from a sample of 133 Colombian metalworking companies and processed using structural equations models.

The results support the cumulative “sand-cone”, which follows a sequence of operational-environmental-social improvement in the presence of lean. For the “trade-offs” model, partial evidence suggests that they can occur in detriment of social performance.

The “sand-cone” and “trade-offs” are empirically tested for the first time in the context of sustainability, providing further knowledge into its interaction with lean manufacturing. The models’ results contribute to practitioners by providing a tested path for companies to improve their performance in a cumulative sequence that will provide better long-term results.

Prior research (Harrast, Olsen, & Sun, 2023) analyzes the eight emerging topics to be included in future CPA exams and discusses their importance to career success and appropriate teaching locus in light of survey evidence. They find that the general topic of data analytics is the most important of the eight emerging topics. To further understand the topics most important to career success, this study analyzes subtopics underlying the eight emerging topics. The results show that advanced Excel analysis tools, data visualization, and data extraction, transformation, and loading (ETL) are the most important data analytics subskills for career success according to professionals and that these topics should be both introduced and emphasized in the accounting curriculum. The results provide useful information to educators to prioritize general emerging topics and specific subtopics in the accounting curriculum by taking into account the most pressing needs of the profession.

As aging populations lead to longer working lives and increasing automation threatens job security, maintaining lifelong employability is becoming a fundamental challenge for many individuals. The purpose of this study is to examine how lifelong employability can be maintained.

Based on the theoretical perspectives of both movement capital and selection, optimization and compensation (SOC) theories, we used large-scale survey data (N = 2,256) from three European countries to investigate strategies for preserving employability among aging workers. Specifically, we explored the perceived risk of automation, lifelong learner characteristics and self-efficacy for occupational mobility as boundary conditions that may shape the negative relationship between age and employability.

We found a negative relationship between age and employability, which was more pronounced when the perceived risk of automation was higher. Furthermore, lifelong learner characteristics and self-efficacy for occupational mobility mitigated the negative relationship, so that age was not related to employability if people possessed lifelong learner characteristics and were ready for a career change.

Our study implies the importance of investing in enhancing lifelong learner characteristics and self-efficacy for occupational mobility for older employees.

This study tests whether corporate social responsibility (CSR) performance is a predictor of the financial sector's financial stability (FS), with the moderation of a sustainability committee.

The sample covers financial sector firms included in the Thomson Reuters Eikon database. The analyses are based on 8,840 firm-year observations for the years between 2002 and 2019 and the country-firm-year fixed-effects (FE) regression analysis is executed.

The results reveal that CSR initiatives contribute to the financial sector's FS as a whole and the sector's three individual sub-sectors. This proven significant association holds for all sub-sectors, namely insurance, banking, and investment banking. Moreover, the moderation analysis reveals the prominent role of a sustainability committee in bridging CSR performance (CSRP) with FS.

The findings highlight that meeting societies' expectations pays back in the form of greater FS in the financial sector.

The findings suggest that CSR engagement helps the financial sector firms manage their risks and alleviates exposure to insolvency. This is because CSR performance promotes firms' accountability and transparency toward stakeholders. The results help motivate managers to pursue CSR goals more seriously to ensure FS. The moderation analysis implies that sustainability committees develop policies and practices to integrate the non-financial and financial goals of the firm.

Although prior studies have examined the link between CSR and financial performance (FP) in the financial sector, those studies have largely ignored FS in terms of risk-adjusted performance. Besides, prior studies have exclusively focused on the banking sector, but the authors concentrate on the banking, insurance, and investment banking sectors.

This study investigates how the initiatives and controversies related to environmental, social and governance (ESG) explain firm efficiency.

Firstly, this study applies data envelopment analysis with the epsilon-based measure to estimate the firm efficiency of 80 companies in the Chinese energy sector in 2022. This approach accounts for the diversity and relative importance of inputs and outputs from a multidimensional perspective. Secondly, this study regresses the variables of ESG initiatives and controversies on the estimated firm efficiency scores through a generalised additive model, which can capture nonlinear patterns.

This study finds that a) the samples have i) about 49% room for improvement in efficiently optimising their resources and business outcomes and ii) the highest scores in governance initiatives, followed by social initiative. b) 69% of them have controversy scores that are greater than the average value. c) A cluster analysis indicates that companies with higher social initiatives have higher firm efficiency than their counterparts. d) ESG initiatives and controversies are nonlinearly related to firm efficiency.

The findings have practical implications for policy makers and managers who prioritise ESG, particularly regarding (i) the need to examine firm performance from a multidimensional perspective, that is, to measure multiple inputs and outputs simultaneously, (ii) the nonlinearity of the nexus between ESG and efficiency in graphical forms, and (iii) the need to balance ESG initiatives and address ESG controversies.

This study integrates statistical approaches in examining and ensuring sustainable growth and efficiency within the Chinese energy sector and beyond.

Although, numerous optimization algorithms have been devoted to construct an electrical ladder network model (ELNM), they suffer from some frail points such as insufficient accuracy as well as the majority of them are unconstrained, which result in optimal solutions that violate certain security operational constraints. For this purpose, this paper aims to propose a flexible-constraint coyote optimization algorithm; the novelty lies in these points: penalty function is introduced in the objective function to discard any unfeasible solution, an advanced constraint handling technique and empirical relationship between the physical estimated parameters and their natural frequencies.

Frequency response analysis (FRA) is very significant for transformer winding diagnosis. Interpreting results of a transformer winding FRA is quite challenging. This paper proposes a new methodology to synthesize a nearly unique ELNM physically and electrically coupled for power transformer winding, basing on K-means and metaheuristic algorithm. To this end, the K-means method is used to cluster the setting of control variables, including the self-mutual inductances/capacitances, and the resistances parameters. Afterward, metaheuristic algorithm is applied to determine the cluster centers with high precision and efficiency.

FRA is performed on a power transformer winding model. Basing on the proposed methodology, the prior knowledge in selecting the initial guess and search space is avoided and the global solution is ensured. The performance of the abovementioned methodology is compared using evaluation expressions to verify its feasibility and accuracy.

The proposed method could be generalized for diagnosis of faults in power transformer winding.

This study aims to offer a hybrid stand-alone system for electric vehicle (EV) charging stations (CS), an emerging power scheme due to the availability of renewable and environment-friendly energy sources. This paper presents the analysis of a photovoltaic (PV) with an adaptive neuro-fuzzy inference system (ANFIS) algorithm, solid oxide fuel cell (SOFC) and a battery storage scheme incorporated for EV CS in a stand-alone mode. In previous studies, either the hydrogen fuel of SOFC or the irradiance is controlled using artificial neural network. These parameters are not controlled simultaneously using an ANFIS-based approach. The ANFIS-based stand-alone hybrid system controlling both the fuel flow of SOFC and the irradiance of PV is discussed in this paper.

The ANFIS algorithm provides an efficient estimation of maximum power (MP) to the nonlinear voltage–current characteristics of a PV, integrated with a direct current–direct current (DC–DC) converter to boost output voltage up to 400 V. The issue of fuel starvation in SOFC due to load transients is also mitigated using an ANFIS-based fuel flow regulator, which robustly provides fuel, i.e. hydrogen per necessity. Furthermore, to ensure uninterrupted power to the CS, PV is integrated with a SOFC array, and a battery storage bank is used as a backup in the current scenario. A power management system efficiently shares power among the aforesaid sources.

A comprehensive simulation test bed for a stand-alone power system (PV cells and SOFC) is developed in MATLAB/Simulink. The adaptability and robustness of the proposed control paradigm are investigated through simulation results in a stand-alone hybrid power system test bed.

The simulation results confirm the effectiveness of the ANFIS algorithm in a stand-alone hybrid power system scheme.