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This study aims to highlight the impact of altruistic-self and hunger awareness on socially responsible food consumption through the lens of self-awareness and self-congruity theories due to the great challenge of Sustainable Development Goal 2: Zero Hunger.

A survey was conducted with a sample of 812 respondents. Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) confirm each variable's structure through the measurement model and test the hypothesis to support a structural model.

The results highlight that the combination of altruistic-self and hunger awareness (AS-HA congruence) drives consumers to execute socially responsible food consumption. Meanwhile, consumers' food-saving attitude mediation translates to the attitude towards responsible and ethical use increasing socially responsible food consumption, a contextual development in the theory of congruence. Conversely, hunger awareness is not confirmed as significantly influencing socially responsible food consumption.

This research provides valuable insights for academicians and practitioners in developing food waste management strategies that can be implemented to reduce food wastage.

Food waste is a global concern and is challenging for many manufacturing, distribution and individual wastage levels. However, food wastage by consumers is one of the most critical problems which can be minimised with awareness and attitudinal changes in behaviour as a form of socially responsible consumption.

Food waste is a severe problem affecting the supply chain due to its significant adverse social and environmental effects. Even if the topic is hotly debated in the literature, there is a lack of research about the success factors influencing food waste prevention initiatives retailers undertake.

The research analyzes how several variables (i.e. product-related variables and technology-enabling variables) might impact the success of the sales of products close to the expiration date that is sold at a discounted price. Data from 390.000 products sold at a discounted price in 2020 and 2021 by a large Italian food retailer were examined with a regression analysis.

The results highlight that both product-related and technology-enabling variables influence the success of food prevention initiatives aimed at selling products close to the expiration date at a discounted price. In particular, the authors stress the importance of digital technologies in supporting food waste prevention initiatives.

The study offers several practical implications for managers in structuring a waste prevention initiative. The introduction of digital technologies, the monitoring of specific variables or the ability to find synergies with other food waste prevention initiatives are discussed to support retailers in reducing food losses.

The paper is focused on the retailer perspective, which is barely investigated due to the difficulty in finding data.

The 50th anniversary of Fox's Beyond Contract and Man Mismanagement coincides with another vital contribution to the sociology of work from 1974: Braverman's Labor and Monopoly Capital. This article analyses these two scholars' complementary approaches to job design and the extent to which Fox's ideas influenced subsequent labour process thought.

The article's methodological approach is a historiographical reading of Fox and Braverman's thought in the context of their times and later scholarship.

The article demonstrates that despite some noteworthy overlap with Braverman concerning scientific management, Fox's insights were marginal to later iterations of labour process analysis. It delves into the reasons for this relative neglect, providing an understanding of the dynamics at play.

This paper's value lies in its combined industrial relations and labour process historiography. It offers a fresh perspective on Alan Fox's relationship to the latter field of study.

Accurately evaluating fluid flow behaviors and determining permeability for deforming porous media is time-consuming and remains challenging. This paper aims to propose a novel machine-learning method for the rapid estimation of permeability of porous media at different deformation stages constrained by hydro-mechanical coupling analysis.

A convolutional neural network (CNN) is proposed in this paper, which is guided by the results of finite element coupling analysis of equilibrium equation for mechanical deformation and Boltzmann equation for fluid dynamics during the hydro-mechanical coupling process [denoted as Finite element lattice Boltzmann model (FELBM) in this paper]. The FELBM ensures the Lattice Boltzmann analysis of coupled fluid flow with an unstructured mesh, which varies with the corresponding nodal displacement resulting from mechanical deformation. It provides reliable label data for permeability estimation at different stages using CNN.

The proposed CNN can rapidly and accurately estimate the permeability of deformable porous media, significantly reducing processing time. The application studies demonstrate high accuracy in predicting the permeability of deformable porous media for both the test and validation sets. The corresponding correlation coefficients (R²) is 0.93 for the validation set, and the R² for the test set A and test set B are 0.93 and 0.94, respectively.

This study proposes an innovative approach with the CNN to rapidly estimate permeability in porous media under dynamic deformations, guided by FELBM coupling analysis. The fast and accurate performance of CNN underscores its promising potential for future applications.

With the ongoing educational disparities and an increasingly diverse special education student population, the need for Black special education teacher faculty at Historically Black Colleges and Universities (HBCUs) has never been greater. The role of Black women in higher education is indispensable as a means of addressing the social injustices faced by students of color with disabilities, diverse communities, families, and historically underserved groups by training Black educators. In this chapter, the author introduces her authentic self and academic journey as foundational to the proposed ideas expressed. The roles of novice special education faculty are discussed, including the challenges these emerging professionals face in obtaining tenure, promotion, and grant procurement. This is followed by suggestions for how to respond to the microaggressions (e.g., classism and colorism) encountered by both Black and White peers. Based on that groundwork, a series of best practices are proposed for creating safe spaces, nurturing and mentoring our future special education teachers. The chapter ends with a reinforcing and supporting summary of lessons learned to promote persistence and retention among Black special education teacher education faculty.

HRM decentralization and devolution have been highlighted as key HRM processes in organizations’ quest for increased flexibility. Although they have been extensively studied in the MNC and International HRM literature, they have mainly been examined on a separate basis, and their definition and operationalization have often been confused. Thus, we first clarify the difference between the two concepts by refining the definitions by Hoogendoorn and Brewster (1992), and then empirically examine how they are related.

The relationship between HRM decentralization and devolution is examined by means of a survey in a large multi-country sample of multi-unit organizations.

Regarding our clarification objective, we contend that devolution has to do with who takes responsibilities for HRM (i.e. line managers or HRM professionals) while decentralization refers to where HRM responsibilities are allocated (i.e. headquarters or increasingly local units). Regarding the relationship between the two concepts, the results show that higher levels of HRM decentralization are related to higher levels of devolution, but this association is attenuated in organizations with more powerful HRM departments.

The study contributes to theory and practice by disentangling, at the conceptual, operational, empirical and practical levels, two different but related HRM decisions (how much to devolve and how much to decentralize HRM) that organizations must make to efficiently cope with the characteristics of their own structure and competitive environment. It highlights the role of the relative power of HRM departments in how HRM responsibilities are ultimately distributed across the organization.

There is some evidence to suggest that the historical challenge associated with recruiting and retaining Black and Brown Science, Technology, Engineering and Math (STEM) collegians is tied to early their teaching and learning experiences in Mathematics. This paper describes an National Science Foundation (NSF) funded project (NSF #2151043) whose goal is to attract, prepare and retain math teachers of color in high need school districts ensure that those teachers remain in the field long enough to make a meaningful impact on the minds and hearts of BIPOC students who are often, extrinsically, and intrinsically, discouraged from pursuing careers in STEM professions.

This mixed-methods study, which began in the summer of 2023, seeks to recruit, prepare, support and retain nineteen (19) Black and Brown math teachers for two (2) high need urban school districts. The expectancy value theory will be used to explain the performance, persistence, and choices of the teachers, while grounded theory will be utilized to understand the impact of the intensive mentorship and wellness coaching that applied over the first year of their preservice preparation and subsequent in-service years.

Measures of project efficacy won’t begin until 2025 and as such there are no findings or implications to draw from for the study at this time.

The intention of this paper is to augment the body of knowledge on recruiting and retaining Black and Brown math teachers for urban schools where the need for quality STEM teachers is critical.

The purpose of this study is to investigate existing and emerging technology-driven stressors using the transactional model of stress and coping (TMSC).

In-depth semi-structured interviews with 36 professionals were performed to obtain qualitative data to explore emerging techno-stressors. The findings were validated a year into the pandemic with human resource (HR) professionals.

The authors identify a previously unreported techno-stressor, Techno-Isolation (TIS), which arises from a heavy dependence on information communication technologies for professional social interactions. Additionally, several considerations of interaction characteristics are identified that, based on the platform used, affect the experience of TIS, further expanding the TMSC with the addition of medium-interaction compatibility. The authors present a testable model and discuss implications.

This study identifies three new information communication technology (ICT)-based antecedents leading to a new techno-stressor, as well as the importance of medium-interaction compatibility in the experiences of stressors as strains. The authors discuss how these elements fit with and extend the existing stress literature.

This study aims to explore how science, technology, engineering, mathematics and medicine (STEMM) graduate students’ experiences with and conceptualizations of racism can more clearly expose the current racial climate across multiple academic institutions.

A mixed-method approach using a single online questionnaire consisting of open-ended and Likert scale questions about their perceptions of the racial climate in their department was completed by 34 graduate students of different races and STEMM disciplines.

Results from this study suggested that graduate students, regardless of race, consistently perceive STEMM as colorblind. The results also suggest that experiencing or witnessing racial discrimination is potentially predictive of perceptions of negative social support. Furthermore, multiracial and international graduate students often face different experiences of discrimination than do other graduate students.

By better understanding STEMM academic climates, higher education institutions can begin to reflect on the social barriers that may limit minoritized students from matriculating in academic STEMM spaces and affect retention.

Multinational corporations encounter numerous challenges in making ethical decisions as they navigate diverse factors in every country where they conduct business. To the best of the authors’ knowledge, no research has been committed to investigating the effects of one’s cultural perspectives and moral virtue. Building on a theoretical foundation recently laid out in the literature (i.e. the culture-influenced value-specific model), this study aims to investigate the relationship between components of national culture (i.e. power distance, individualism, uncertainty avoidance and masculinity) and the moral virtue of integrity.

This paper uses a quantitative analysis methodology conducted among 160 US-based workers to test a direct effect model of the relationship between national culture and integrity. The hypothesized relationships are examined using linear regression. Additional analysis includes reliability and representativeness analyses.

Direct effects support the hypotheses that a worker’s cultural perspectives affect integrity. Specifically, this study found that a worker’s cultural aspects of power distance, individualism and masculinity are negatively and significantly related to an individual’s level of integrity. Additionally, an individual’s level of uncertainty avoidance is positively related to integrity.

This study contributes to the literature and practice by demonstrating how the culture in which one resides has an impact on the level of integrity one holds and potentially exhibits in the workplace. These findings are significant in that they are among the first to consider culture and moral virtue in an ethical decision-making model. Furthermore, these findings open an additional pathway for research concerning ethical behavior in the workplace.