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This study aims to establish a robust evaluation framework for suppliers within the automotive supply chain, specifically in the stamping sector. The primary objectives are to elucidate the performance criteria of suppliers, identify indicators and scales for measuring these criteria and find the importance of the criteria.

The evaluation framework comprises a criteria hierarchy and indicators developed based on the evaluation criteria of major automotive manufacturers. Specific indicators and measurement scales are recommended for assessing suppliers. Importance weights for the criteria are assigned based on the input of nine experts using the Analytic Hierarchy Process (AHP). Finally, four sheet metal stamping tooling (SMST) suppliers are evaluated by four specialists using the proposed evaluation framework.

The study introduces a novel classification of criteria, encompassing financial and commercial perspectives, delivery capability, supplier facility and cultural approaches and business process necessities. The findings underscore the significance of financial and commercial stability in the selection of SMST suppliers, emphasizing their role in mitigating risks associated with disruptions, bankruptcies and unforeseen events. Additionally, several SMST evaluation factors identified in this study contribute to the development of resilience capabilities, highlighting the crucial importance of their inclusion and assessment in the proposed evaluation framework.

This research presents a comprehensive model for evaluating SMST suppliers, which tackles the multidisciplinary challenges within the automotive supply chain. Given the inadequacy or nonexistence of current SMTS selection models, this study bridges the gap by exploring potential and necessary criteria, alongside 116 specific indicators and measurement scales.

This paper aims to optimize the air pressure regulation scheme of the aeroengine pressure test bench.

Based on the requirements of pressure regulation process and the operating mechanism of aeroengine pressure test bench, a grey performance evaluation index system is constructed. The combination of principal component analysis and grey theory is employed to assign weights to grey indexes. The grey target evaluation model is introduced to evaluate the performance of historical regulation processes, and the evaluation results are analyzed to derive optimization mechanism for pressure regulating schemes.

A case study based on monitoring data from nearly 300 regulation processes verifies the feasibility of the proposed method. On the one hand, the improved principal component analysis method can achieve rational weighting for grey indexes. On the other hand, the method comparison intuitively shows that the proposed method performs better.

The pressure test bench is a fundamental technical equipment in the aviation industry, serving the development and testing of aircraft engines. Due to the complex system composition, the pressure and flow adjustment of the test bench heavily rely on manual experience, leading to issues such as slow adjustment speed and insufficient accuracy. This paper proposes a performance evaluation method for the regulation process of pressure test bench, which can draw knowledge from historical regulation processes, provide guidance for the pressure regulation of test benches, and ultimately achieve the goal of reducing equipment operating costs.

This paper aims to build on Part 1 which generated a theory representing the experiences of charity peer leaders facilitating well-being interventions (Burns, 2024). This study (Part 2) examines the process of peers [1] becoming peer leaders using the generated theory.

Following the Medical Research Council Process Evaluation Framework (Moore et al, 2015), the methods for this study were as follows: discussion and informal questions with all project staff (skilled group facilitators and peer leaders) at the start of the Refugee projectx; in-depth, self-report questionnaire with the skilled group facilitators; researcher observations of the peer leaders learning to lead and leading the groups; and group interview with peer leaders.

When analysed in line with the theory, the data showed the following: being empathic and validating someone’s story helps the person feel like their journey counts and is of worth; the “dance” of rapport and relationship is a vital ingredient for a successful group; the process of sharing stories and giving hope bring rewards; hope can be gained, given and given again without diminishing hope within the giver.

The theory that emerged in this study is unique to Part 1 and therefore Part 2 is also original, to the best of the author’s knowledge. The demonstration of the use of the theory in practise could support mental health peer work in offsetting statutory health-care costs.

Product color names related to a consumption setting are commonly used in advertising to persuade. This study aims to use consumption imagery fluency as an underlying mechanism for assessing how such a naming tactic impacts product evaluation.

Three between-subjects experiments examine how product evaluation, in response to the use of color names containing consumption situation information, varies as a function of their accessibility (Study 1), and also test the role of a naming explanation (Study 2). How readily a consumer takes in consumption imagery is evaluated as a mediator. The studies further check if color attribute serves as a moderator of such color naming effect and that the naming factor contributes to consumption imagery fluency directly or indirectly alters such through their impact on comprehension fluency (Study 3).

Marketing products with color names related to the consumption setting is more effective than using generic names. Consumption imagery fluency mediates the results. This positive outcome is reduced when color names are less accessible. Fortunately, including an explanation to facilitate reasoning for product color names is helpful to reverse this disadvantage. The same patterns are not evident for highly accessible names. In addition, the effectiveness of consumption situation-related color names is restricted to the circumstance of color attribute as secondary, as opposed to primary. Furthermore, naming factors influence the ease of consumption of imagery whether or not facilitated by comprehension fluency.

This research provides evidence of consumers’ responses to product color naming that involves consumption situations and identifies consumption imagery fluency as a potential means for mediating the studied effect.

Naming a product color in consumption situation-related terms triggers consumption imagery, driving evaluation when color is the secondary attribute of a product.

This research contributes to understanding the influence of naming a product’s color in promotional communication and correlates to productive tactics for advertising messages.

Interventions that improve timely access to outpatient health services are essential in managing demand. This process evaluation aimed to describe the implementation, mechanism of impact and context of an intervention to reduce waiting for first appointments in an outpatient epilepsy clinic.

The UK Medical Research Council framework was used as the theoretical basis for a process evaluation alongside an intervention trial. The intervention, Specific Timely Appointments for Triage (STAT), is a data-driven approach that combines a one-off backlog reduction strategy with methods to balance supply and demand. A mixed methods process evaluation synthesised routinely collected quantitative and qualitative data, which were mapped to the domains of implementation, mechanisms of impact and contextual elements.

The principles of the STAT model were implemented as intended without adaptation. The STAT model reached all patients referred, including long waiters and was likely generalisable to other medical outpatient clinics. Mechanisms of impact were increased clinic capacity and elimination of unwanted variation. Contextual elements included the complexity of healthcare systems and the two-tier triage practice that contributes to prolonged waiting for patients classified as non-urgent.

This process evaluation shows how a data-driven strategy was applied in a medical outpatient setting to manage demand. Improving patient flow by reducing waiting in non-urgent, outpatient care is a complex problem. Understanding how and why interventions work is important for improved timeliness of care, and sustainability of public health services.

Annual performance evaluations of faculty are a routine, yet essential, task in higher education. Creating (or revising) performance criteria presents an opportunity for leaders to work with their teams to co-create evaluation metrics that broaden participation and minimise inequity. The purpose of this study was to support organisational leaders in developing equitable performance criteria.

We adopted the “dual-agenda” dialogues training that draws on concepts of collective self-efficacy and intersectionality for department leaders to co-create annual review criteria with their faculty members at one university. We used qualitative and quantitative data to assess the training and conducted an equity audit of the resulting annual review criteria.

Survey results from faculty members and departmental leaders (n = 166) demonstrated general satisfaction with the process used to create new criteria, perceptions that their criteria were inclusive and optimism about future reviews. Those with greater familiarity with the dialogues process had more positive perceptions of the inclusivity of their department’s criteria and more positive expectations of future reviews. The examination of eight indicators of equity illustrated that the resultant criteria were transparent and holistic.

This study builds on the relatively little research on faculty members’ annual performance evaluations, focussing on inclusive dialogues that centre equity and diversity. Results highlight the value of providing department leaders with evidence-based tools to foster system-level change through equitable evaluation policies. A toolkit is available for adaptation of the “dual-agenda” leadership training to both co-create annual review criteria and improve equity and inclusion.

In today’s digital economy, it is very important to cultivate digital professionals with advanced interdisciplinary skills. The purpose of this paper is that universities play a vital role in this effort, and research teams need to use the synergistic effect of various educational methods to improve the quality and efficiency of personnel training. For these teams, a powerful evaluation mechanism is very important to improve their innovation ability and the overall level of talents they cultivate. The policy of “selecting the best through public bidding” not only meets the multi-dimensional evaluation needs of contemporary research, but also conforms to the current atmosphere of evaluating scientific and technological talents.

Nonetheless, since its adoption, several challenges have emerged, including flawed project management systems, a mismatch between listed needs and actual core technological needs and a low rate of conversion of scientific achievements into practical outcomes. These issues are often traced back to overly simplistic evaluation methods for research teams. This paper reviews the literature on the “Open Bidding for Selecting the Best Candidates” policy and related evaluation mechanisms for research teams, identifying methodological shortcomings, a gap in exploring team collaboration and an oversight in team selection criteria.

It proposes a theoretical framework for the evaluation and selection mechanisms of research teams under the “Open Bidding for Selecting the Best Candidates” model, offering a solid foundation for further in-depth studies in this area.

Research progress on the Evaluation Mechanism of Scientific Research Teams in the Digital Economy Era from the Perspective of “Open Bidding for Selecting the Best Candidates.”

The purpose of this paper is to investigate perceptions of primary education (PE) teachers with respect to evaluation within the framework of Total Quality Management (TQM) and their readiness to engage in the process of quality improvement. Within this context, a relevant measurement instrument is developed and empirically validated.

The instrument developed herein included 30 items distributed across seven dimensions. It was disseminated among public PE units in Greece, yielding a substantial 2,088 responses. Several tests were performed, including principal component analysis, confirmatory factor analysis and structural equation modelling.

The findings supported the validity and reliability of the instrument, confirming that the proposed measures encapsulate actual dimensions that are most suitable for exploring evaluation perception and readiness in the context of TQM in PE. The study explored several correlations between the validated dimensions and independent variables such as gender, level of education, years of teaching experience and age. These analyses yielded additional valuable insights, enriching the depth of understanding provided by the present research.

The fields of TQM and PE lack empirical evidence. However, this study offers valuable insights into teachers’ perceptions of evaluation and broader quality improvement efforts. This can help school managers, policymakers and practitioners refine their implementation strategies for educational excellence.

To the best of the authors’ knowledge, this study is the first to focus on the examination of evaluation as a key aspect of TQM within the context of PE. Through the development and validation of a real-time measurement instrument, it bridges a significant research gap, providing practitioners and researchers with a vital tool to understand and improve educators’ evaluation perceptions, enabling targeted interventions for enhanced performance.

Smart libraries are the result of the application of smart technologies in the era of digital intelligence. The establishment and improvement of its service evaluation system serve as indicators for evaluating the growth of smart libraries.

This study introduces and improves the capability maturity model (CMM), creatively constructs a service maturity model specifically designed for smart libraries and combines the Delphi method with the analytic hierarchy process (AHP) to establish a service maturity evaluation system for smart libraries while calculating indicator weights. Finally, two representative smart libraries are selected as case studies, and an empirical application is conducted using the fuzzy comprehensive evaluation method.

The empirical study shows that the developed smart libraries service maturity evaluation system holds significant theoretical and practical value in evaluating smart libraries.

Enhances the CMM and creatively constructs a service maturity model for smart libraries. Combines the Delphi method with AHP to establish a service maturity evaluation system while calculating indicator weights. Uses a fuzzy comprehensive evaluation method to evaluate two representative smart libraries. Demonstrates that the smart library services maturity evaluation system holds significant theoretical and practical value.

The purpose of the study is to examine how risk factors contribute to the occurrence of defects in a process. By analyzing these risk factors in relation to process quality, the study aims to help organizations prioritize their resources and efforts toward addressing the most significant risks. These challenges, integrated with the emerging concept of Quality 4.0, necessitate a comprehensive risk assessment technique.

Fuzzy logic integrated with an analytic network process is used in the process failure mode and effects analysis for conducting risk identification and assessment under uncertainty. Through a mathematical model, the linkage of risk with Six Sigma is established and, finally, a value–risk matrix is developed for illustrating and analysing risk impact on process quality.

A case study on fused filament fabrication demonstrates the proposed methodology’s applicability. The results show its effectiveness in assessing risk factors’ impact on Six Sigma metrics: defects per million opportunities/sigma level.

By integrating qualitative assessments and leveraging available data, this approach enables a more comprehensive understanding of risks and their utilization for an organization’s quality improvement initiatives.

This approach establishes a risk-centric Six Sigma assessment method in accordance with the requirement of ISO 9001:2015 and in the context of Quality 4.0.