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The purpose of this study is to explore how to select a suitable supply chain collaboration paradigm (SCCP) based on the intelligent manufacturing model (IMM) of enterprises.

Given the fit between internal collaboration and external collaboration, we propose a model to select a suitable SCCP based on two-sided matching between SCCPs and IMMs. In this decision problem, we invited five university scholars and seven related consultants to evaluate SCCPs and IMMs based on the regret theory, which is used to obtain the perceived utility and matching results. The evaluation values are comfortably expressed through probabilistic linguistic term sets (PLTSs). Also, we set the lowest acceptance threshold to improve the accuracy of matching results.

The findings indicate that the characteristics of IMMs can significantly influence the selection of SCCPs, and an SCCP is not suitable for all IMMs. Interestingly, the study findings suggest that the selection of SCCP is diverse and multi-optional under the constraints of IMMs.

Existing studies have explored supply chain collaboration (SCC) in Industry 4.0 to improve supply chain performance, but less attention has been paid to the impact of the match between SCCPs and IMMs on supply chain performance. And even fewer studies have addressed how to select a suitable SCCP in different IMMs. This study provides a unique contribution to the practice of SCC and expands the understanding of supply chain management in Industry 4.0.

Strengths-based professional development has been associated with positive outcomes in academia and in the organizational workplace. Students pursuing their doctoral degrees in the biomedical sciences in the US are often on graduate assistantships, where they experience an academic component to their training integrated with an employee-like existence. The individual who serves as their academic and research advisor is often their supervisor, who pays their stipend. The traditional training structure poses unique challenges and may be accompanied by stress, burnout and imposter phenomenon. The purpose of this study is to utilize a strengths-based approach to equip students with essential personal and professional skills that build self-awareness and self-confidence further preparing them for their future in the scientific workforce.

The authors developed and implemented a novel strengths-based professional development cohort program for doctoral students in the biomedical sciences at a research-intensive (R1) institution. The program was designed to create a supportive and inclusive space for participants (n = 18) to explore their identity as a student and scientists and to develop and leverage their talents for more effective and strategic use. Program outcomes were evaluated through a mixed methods case study design using a post-program Likert-based survey (n = 10 participants) and participant interviews (n = 13). Explanatory sequential design was used in the interpretation of the findings.

The results show that the program had a positive impact on students’ perceptions of themselves as scientists, as well as on their self-efficacy, self-confidence and interpersonal interactions in the research setting.

This strengths-based professional development program demonstrates immense potential as a model to equip students with self-awareness and a new foundation of essential skills needed to supplement their technical and scientific training for their future careers in the team-based workplace.

This study demonstrates how professional development programming can complement scientific training by equipping students with self-awareness and other lifelong skills to navigate feelings of imposter phenomenon and interpersonal relationships in the team-based workplace.

Today’s one of the most important difficulties is tackling climate change and its effects on the environment. The Paris Agreement states that nations must balance the amount of greenhouse gases they emit and absorb until 2050 to contribute to the mitigation of greenhouse gases and to support sustainable development. According to the agreement, each country must determine, plan and regularly report on its contributions. Thus, it is important for the countries to predict and analyze their net zero performances in 2050. Therefore, the aim of this study is to evaluate European Continent Countries' net zero performances at the targeted year.

The European Continent Countries that ratified the Paris Agreement are specified as decision making units (DMUs). Input and output indicators are specified as primary energy consumption, freshwater withdrawals, gross domestic product (GDP), carbon-dioxide (CO₂) and nitrous-oxide (N₂O) emissions. Data from 1980 to 2019 are obtained and forecasted using autoregressive integrated moving average (ARIMA) until 2050. Then, the countries are clustered based on the forecasts of primary energy consumption and freshwater withdrawals using k-means algorithm. As desirable and undesirable outputs arise simultaneously, the performances are computed using Pure Environmental Index (PEI) and Mixed Environmental Index (MEI) data envelopment analysis (DEA) models.

It is expected that by 2050, CO₂ emissions of seven countries remain constant, N₂O emissions of seven countries remain stable and five countries’ both CO₂ and N₂O emissions remain constant. While it can be seen as success that many countries are expected to at least stabilize one emission, the likelihood of achieving net zero targets diminishes unless countries undertake significant reductions in emissions. According to the results, in Cluster 1, Turkey ranks last, while France, Germany, Italy and Spain are efficient countries. In Cluster 2, the United Kingdom ranks at last, while Greece, Luxembourg, Malta and Sweden are efficient countries.

In the literature, generally, CO₂ emission is considered as greenhouse gas. Moreover, none of the studies measured the net-zero performance of the countries in 2050 employing analytical techniques. This study objects to investigate how well European Continent Countries can comply with the necessities of the Agreement. Besides CO₂ emission, N₂O emission is also considered and the data of European Continent Countries in 2050 are estimated using ARIMA. Then, countries are clustered using k-means algorithm. DEA models are employed to measure the performances of the countries. Finally, forecasts and models validations are performed and comprehensive analysis of the results is conducted.

The purpose of this study was to examine how two socio-historical contexts within the United States, the Movement for Black Lives and the COVID-19 pandemic, informed approaches to improving racial climate in science, technology, mathematics and engineering (STEM) graduate education.

The authors used a general qualitative inquiry research study design to conduct focus groups (n = 121) with graduate students, postdoctoral fellows and faculty members from across STEM disciplines as well as administrators whose work involves STEM graduate students. Participants were from two US institutions involved in a National Science Foundation networked improvement community seeking to create inclusive environments for STEM graduate students.

This study demonstrates how these socio-historical contexts illuminated and amplified on-going efforts to address racial climate for graduate students in US-based graduate education. In response to these events, STEM faculty devoted time that otherwise might have gone to purely technical or scientific endeavors to addressing racial climate. However, some faculty members remain hesitant to address racial climate and efforts appear to have further waned over time. While diversity, inclusion and equity efforts came to the forefront of the collective consciousness during this time, participants worry that these efforts are not sustainable, particularly without support from faculty and administrators.

The findings from this study will inform efforts to improve racial climate in STEM graduate programs.

This study fills an identified need to capture how socio-historical contexts, like the US Movement for Black Lives and the COVID-19 pandemic, have influenced approaches to improving racial climate in STEM graduate programs.

The purpose of this study is to clarify the definitional inconsistencies around the concept of “leadership potential” and differentiate it from related constructs, provide a comprehensive review of the literature and propose a research agenda to guide future studies.

The authors adopt a systematic literature review method to achieve this purpose. Adhering to the established guidelines, they analyzed 81 empirical articles published in 27 leading journals from 2011 to 2024.

Despite its prominence in discussions of leadership emergence, development, effectiveness and promotability, the literature lacks consensus on operationalizing leadership potential. In response, the authors propose a novel operationalization based on Pinder’s (1988) three dimensions of motivation, namely – direction, intensity and persistence of behavior. The analysis of this paper structured through the theory-context-characteristics-method (TCCM) framework identifies several critical gaps: One-third of the reviewed studies lack a theoretical foundation, while the remaining predominantly rely on trait and cognition-based approaches; most research emphasizes individual-level predictors and outcomes, with limited exploration of contextual factors; and quantitative approaches dominate the field leaving room for alternative methodological approaches. Based on these observations, a future research agenda using TCCM has been proposed.

This study contributes uniquely to the leadership literature by clarifying the distinctions between “leadership potential” and related constructs, introducing an operationalization grounded in Pinder’s motivational framework and presenting a holistic view of the literature on leadership potential. Further, this study advances the field by proposing a future research agenda, an aspect previously unexplored. Additionally, the authors use the TCCM framework, a guided framework for systematic literature review that has not been adopted in the leadership literature.

This cross-sectional investigation explores the relative importance of specific psychological factors influencing adjustment in a sample of internationally mobile children and adolescents, commonly referred to as third culture kids (TCKs), living in Switzerland.

The study cohort comprised 126 participants aged 7–17 years, all of whom had experienced international relocations due to their parents' professional commitments. Participants were recruited from local and international schools in Switzerland, and data were collected through validated online questionnaires after obtaining informed consent. The study focused on proximal psychological factors, including emotion regulation strategies (such as cognitive reappraisal and emotion suppression), negative social cognition, resilience and perceived stress, assessing their impact on psychological adjustment. Outcomes were measured through indicators of well-being and mental health, including emotional and behavioral symptoms.

Commonality analysis was used to evaluate the relative contributions of each psychological factor to well-being and mental health in the sample. Perceived stress emerged as the most significant contributor to well-being, while resilience played a crucial buffering role against mental-health difficulties. These findings are consistent with Berry’s Acculturative Stress Model, which highlights the importance of managing stress in the context of cultural transitions. Additionally, the presence of well-established expatriate support networks in Switzerland may have mitigated the negative effects of stress, suggesting that similar patterns may not hold in less resource-rich environments.

The study offers important insights into the challenges faced by TCKs during international relocations, underscoring the need for further cross-cultural research. It remains essential to examine whether emotion regulation strategies such as cognitive reappraisal and resilience mechanisms function similarly in different cultural and socioeconomic contexts.

The findings also suggest the potential benefits of tailored psychotherapeutic interventions aimed at enhancing the well-being and adaptive capacity of TCKs.

Overall, this research contributes valuable knowledge to the understanding of the psychological mechanisms that can inform strategies for supporting TCKs as they navigate the complexities of global mobility.

This study aims to address the challenge of encouraging customers to join hotels’ green loyalty programmes (LPs) by examining the impact on customers’ decisions of their trait reactance, anticipated guilt and the physical attractiveness of service employees.

The authors conducted three preliminary studies and one main study using scenario-based online surveys targeting Chinese hotel customers. The first two preliminary studies (N1A = 100, N1B = 158) explored the negative emotions (guilt vs. shame) linked to non-participation in green LPs, while the third study (N1C = 110) examined gender’s role in perceived physical attractiveness. The main study (n = 836) tested the three-way interaction effect.

This analysis confirms that guilt, rather than shame, plays a significant role in the decision-making process for participating in green LPs. The results reveal that trait reactance strongly deters participation intention when customers anticipate low guilt and perceive service employees as less attractive. Notably, higher anticipated guilt renders trait reactance ineffective in influencing intentions, regardless of employees’ attractiveness.

The results reveal that a high level of anticipated guilt is the key to boosting customers’ intention to participate in a hotel’s green LP, which can mitigate the negative impact of customers’ trait reactance.

To the best of the authors’ knowledge, this is the first study to demonstrate how anticipated guilt can lessen the negative effects of customers’ trait reactance on their intention to participate in green LPs. In addition, the findings reveal that guilt not only narrows customers’ attentional focus but also influences how the attractiveness of service employees affects their decision-making processes. the work introduces a new angle on how emotional responses (anticipated guilt) interact with physical cues (employee attractiveness) in shaping customer decisions concerning the hotel’s green initiatives.

This study explores the experiences of care-experienced people living in supported housing provided by the Rees Foundation in England. This study aims to understand the challenges faced by those over 25 who have aged out of statutory support and explores how the Rees Foundation’s services help address these challenges.

This study uses a qualitative approach, using semi-structured interviews with five tenants and five staff members from the housing project. Thematic analysis identified key themes related to homelessness, safety, stability and the importance of relationships with outreach workers.

The findings reveal that care leavers often face a “cliff edge” when statutory support ends, resulting in risks such as homelessness and social isolation. The Rees Foundation’s approach, which includes ongoing emotional and practical support, plays a crucial role in fostering safety, stability and hope among tenants.

This study offers original insights into the effectiveness of sustained support for care-experienced people beyond the age of 25, an age group that has been largely overlooked in existing research. By focusing on a population often neglected in care leaver studies, it highlights the need for extended support services to prevent long-term adverse outcomes, contributing to the broader understanding of post-care transitions.

The rapid global changes we are witnessing pose a pressing challenge that necessitates reevaluating conventional supply chain practices. Consequently, the integration of digital technologies into supply chain operations, often referred to as digital supply chain (DSC), has emerged as a strategic shift that aims to empower organizations to proactively seize new opportunities rather than being caught off guard by unforeseen disruptions arising from economic volatility, global pandemics and regional conflicts. Thus, this study embraces a knowledge-centric approach to explore the direct and indirect impact of knowledge management, innovation and learning capabilities on DSC adoption in an emerging economy context. Furthermore, it aims to shed light on the moderating role of environmental dynamism in this intricate interplay.

Employing a cross-sectional survey, the research data were collected from 354 managers representing Egyptian manufacturing and service firms utilizing a structured questionnaire. Data analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM).

The results unveiled that knowledge management capability (KMC) has the highest path coefficient value among all endogenous variables. It accounts for a significant portion of the variance in innovation and learning capabilities, which play pivotal roles in adopting DSC. Notably, learning capability appears to exert a more powerful influence on DSC adoption than innovation capability through direct and mediating effects. Furthermore, the findings underscore the moderating effect of environmental dynamism on the relationship between learning capability and DSC adoption. However, this moderating role is not observed in the link between innovation capability and DSC adoption.

There is a growing trend among firms to adopt DSC in response to significant environmental shifts. This study offers valuable insights for managers and policymakers, providing them with a deeper understanding of the DSC adoption process. The study’s findings assist in identifying crucial factors that boost DSC adoption and offer guidance on successfully leveraging digital technologies for managing supply chain practices. Moreover, the study offers stimulating directions for future DSC research directions.

The study contributes to the existing literature by expanding our understanding of the adoption of DSC by utilizing knowledge, innovation and learning capabilities within the context of emerging economies.

The study aims to explore the relationship between the SDGs and the environmental and social impacts of university classes. It evaluates the potential contributions of different teaching models to the SDGs, providing insights into sustainable teaching systems.

In-person classes exhibited hotspots in transportation and energy consumption. Scenarios I and II, involving virtual and hybrid classes, increased eutrophication potential and water scarcity due to higher food consumption, negatively impacting SDGs. However, all scenarios showed positive contributions to SDGs 2, 3, 6, 9, 11, 12, 13, 14 and 15.

This research integrates Life Cycle Assessment (LCA) with the United Nations Sustainable Development Goals (SDGs) to assess the environmental and social impacts of classes at the Federal University of São Carlos, Sorocaba campus in Brazil. Three scenarios were analyzed: (I) virtual classes, (II) hybrid classes and (III) in-person classes with improved energy efficiency.

The study primarily focuses on environmental and social impacts, excluding other factors like class quality. Integrating Life Cycle Costing and Life Cycle Sustainability Assessment could provide a more holistic evaluation in the future.

The methodology adopted offers valuable insights for managing the impacts of university performance and aligning teaching systems with the SDGs. It enables institutions to make informed decisions for sustainability in education.

The research emphasizes the importance of considering social impacts alongside environmental ones when assessing sustainability in educational institutions. It encourages universities to engage stakeholders in sustainability efforts.

This research innovatively combines LCA and the SDGs in the context of university education providing a replicable methodology for evaluating and enhancing sustainability in teaching systems and from a more quantitative perspective.