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School–university partnerships are important in teacher education to ensure PK-12 preservice teachers gain teaching experience prior to becoming teachers of record. Drawing on Ball and Cohen’s (1999) concept of “practice-based teacher education,” this three-year qualitative study examines the results of an intentionally reciprocal school–university partnership centered on a practice-based learning, field-based course. The following question guided this research: Having designed and facilitated a school–university partnership centered on reciprocity, what factors contributed to and/or took away from this commitment?

The current study examined three data sources, namely: (1) seven semi-structured focus group interviews with a teacher educator, sixth-grade teachers (n = 4) and a principal; (2) eight question/answer sessions between preservice teachers and partnering secondary teachers and (3)one focus group between the two authors. Data were analyzed using reflexive thematic analysis.

This study’s findings highlight the reciprocal nature of the school–university partnership, showcasing the positive outcomes and challenges faced by stakeholders. Clear communication and ongoing dialogue were identified as key elements to establishing and maintaining a reciprocal relationship. Additionally, emphasis on shared learning experiences between partners were found valuable and important to maintaining benefit to all partners. Relationship development also remained an important and positive outcome of this partnership. Additionally, there were challenges related to time, and schedule constraints were evident in the partnership. Moreover, ongoing reflection and a willingness to adjust and change based on experiences and lessons learned ensured participants recognized the importance of ongoing iteration and calibration to address challenges and enhance the partnership.

Because of the chosen research approach, the research results may lack generalizability.

The paper includes implications for the development of other school–university partnerships that prioritize reciprocity, highlighting an often assumed, but not always examined, component necessary to the success of school–university partnerships.

This study finds whether there exists any correlation between the rates of technological progress, unemployment and labour productivity among a total of 21 world economies that are categorized as developed, developing and least developed by the United Nations. An attempt has also been made to check the reliability of the model through regression analysis. Time series analysis has been conducted over 19 years, from 2000 to 2018. The Solow Residual Method based on the Cobb Douglas Production function has been used and modified to find the rate of contribution of technological progress towards Gross Domestic Product (GDP) for each country. Correlation analysis has been conducted to measure the degree of correlation between the variables and trend analysis has been used to identify the exact directions in which the variables are moving. Further, regression analysis has been conducted to check whether the identified strength of the relationship between the dependent and the independent variables can be well justified or not. There is an unsustainable economic development when the contribution of technology to a nation's GDP increases in tandem with an increase in the rate of unemployment. A country is said to have sustainable economic development when the rate of contribution of technical advances to GDP growth drops or if it grows but with a lower unemployment rate.

This research paper aims to analyze the scientific and grey literature on Quality 4.0 and zero-defect manufacturing (ZDM) frameworks to develop an integrated quality 4.0 framework (IQ4.0F) for quality improvement (QI) based on Six Sigma and machine learning (ML) techniques towards ZDM. The IQ4.0F aims to contribute to the advancement of defect prediction approaches in diverse manufacturing processes. Furthermore, the work enables a comprehensive analysis of process variables influencing product quality with emphasis on the use of supervised and unsupervised ML techniques in Six Sigma’s DMAIC (Define, Measure, Analyze, Improve and Control) cycle stage of “Analyze.”

The research methodology employed a systematic literature review (SLR) based on PRISMA guidelines to develop the integrated framework, followed by a real industrial case study set in the automotive industry to fulfill the objectives of verifying and validating the proposed IQ4.0F with primary data.

This research work demonstrates the value of a “stepwise framework” to facilitate a shift from conventional quality management systems (QMSs) to QMSs 4.0. It uses the IDEF0 modeling methodology and Six Sigma’s DMAIC cycle to structure the steps to be followed to adopt the Quality 4.0 paradigm for QI. It also proves the worth of integrating Six Sigma and ML techniques into the “Analyze” stage of the DMAIC cycle for improving defect prediction in manufacturing processes and supporting problem-solving activities for quality managers.

This research paper introduces a first-of-its-kind Quality 4.0 framework – the IQ4.0F. Each step of the IQ4.0F was verified and validated in an original industrial case study set in the automotive industry. It is the first Quality 4.0 framework, according to the SLR conducted, to utilize the principal component analysis technique as a substitute for “Screening Design” in the Design of Experiments phase and K-means clustering technique for multivariable analysis, identifying process parameters that significantly impact product quality. The proposed IQ4.0F not only empowers decision-makers with the knowledge to launch a Quality 4.0 initiative but also provides quality managers with a systematic problem-solving methodology for quality improvement.

This study aims to examine the effect of Industry 4.0 technology on resilience in established cross-border supply chain(s) (SC).

A literature review provides insight into the resilience capabilities of cross-border SC. The research uses a case study of operational international SC: the producers, importers, logistics companies and UK Government (UKG) departments. Semi-structured interviews determine the resilience capabilities and approaches of participants within cross-border SC and how implementing an Industry 4.0 Internet of Things (IoT) and capitals Distributed Ledger (blockchain) based technology platform changes SC resilience capabilities and approaches.

A blockchain-based platform introduces common assured data, reducing data duplication. When combined with IoT technology, the platform improves end-to-end SC visibility and information sharing. Industry 4.0 technology builds collaboration, trust, improved agility, adaptability and integration. It enables common resilience capabilities and approaches that reduce the de-coupling between government agencies and participants of cross-border SC.

The case study presents challenges specific to UKG’s customs border operations; research needs to be repeated in different contexts to confirm findings are generalisable.

Operational SC and UKG customs and excise departments must align their resilience strategies to gain full advantage of Industry 4.0 technologies.

Case study research shows how Industry 4.0 technology reduces the de-coupling between the SC and UKG, enhancing common resilience capabilities within established cross-border operations. Improved information sharing and SC visibility provided by IoT and blockchain technologies support the development of resilience in established cross-border SC and enhance interactions with UKG at the customs border.

This research aims to examine how decision-makers’ demographic traits affect the integration of foreign workforce into Tirolean (Austria) companies. With continuous world migrations, Tirol experiences a great inflow of foreign workforce. While integrating into the workforce, the foreign workers interact with various decision-makers whose demographic traits (e.g., age, gender, nationality) potentially influence the success of the integration process. To gather data on the integration levels of a foreign workforce, the author conducted a questionnaire. Furthermore, several statistical analyses were run to determine if the relationship between demographic characteristics and integration success exists. The study reveals that demographic characteristics influence decision-makers’ acceptance of expatriates, as well as their recruitment, integration, and training and development outcomes. The empirical results indicate the strength of relationships identified through analyses. The study is limited to geographical, as well as the scope of the sample size, as the data are obtained from Tirol only. In addition, the results from the study serve as a basis for future discussions and research.

There is growing empirical evidence that firm heterogeneity is technologically non-neutral. This chapter extends the Gandhi, Navarro, and Rivers (2020) proxy variable framework for structurally identifying production functions to a more general case when latent firm productivity is multi-dimensional, with both factor-neutral and (biased) factor-augmenting components. Unlike alternative methodologies, the proposed model can be identified under weaker data requirements, notably, without relying on the typically unavailable cross-sectional variation in input prices for instrumentation. When markets are perfectly competitive, point identification is achieved by leveraging the information contained in static optimality conditions, effectively adopting a system-of-equations approach. It is also shown how one can partially identify the non-neutral production technology in the traditional proxy variable framework when firms have market power.

Education for sustainable development (ESD) has gained significant attention, but integrating ESD into existing education systems is challenging. The study aims to explore the challenges of ESD experienced by school leaders, focusing on the context of Malaysian schools.

The study uses a qualitative approach with a single-case study design. Eight school leaders involved in the Johor sustainable education action plan (JSEAP) were interviewed and analyzed. The study uses thematic analysis to identify the challenges and other causes associated with the implementation of ESD.

This study revealed that the school leaders perceived the ESD challenges at three levels. First, restriction to the standardized curriculum (systemic); second, resistance to change (organization) and third, awareness and readiness (individual). These themes stemmed from seven primary codes that school leaders encountered throughout the JSEAP program.

This paper is limited to a case study of the chosen schools and cannot be extrapolated to a larger population.

The study benefits school leaders and educators concerned about ESD and its role in their schools and other academics interested in ESD.

To the authors' knowledge, this is the first study to investigate ESD challenges in Malaysia. The novel discovery of the three levels of ESD challenges helps readers better understand the recent phenomenon of ESD implementation and compare it to other settings.

This study aims to explore vocational education as stated in the basic constitution, law, government and ministerial regulations in the Indonesian context. This study aims to outline the Indonesian vocational education paradigm based on regulatory documents.

This research uses a qualitative document analysis approach by extracting vocational themes regarding senior high school and higher education from the available documents. The keywords used for document document analysis are education, vocational school and vocational higher education. These words are forced to be used to distinguish the types and levels that exist in Indonesian education.

The findings of this study identified that the political paradigms of vocational education, such as equality and justice, naming (regulative), purpose and life skills, the curriculum of local cultural value, decentralized authority, link and match and future paradigms are important themes raised in this study. This is a study to explore the politics of Vocational High School and Vocational Higher Education in Indonesia.

The vocational education policy documents in Indonesia that were analyzed may have been forgotten. As a result, the forgotten documents are not included in the analysis document. Forgotten interpretations and documents are part of the limitations of this research.

It is hoped that the findings of this research will have an impact on improving vocational education policies in Indonesia. This can also be a comparison for other countries in looking at vocational education paradigms and policies. In general, these research findings can help in improving vocational education policies. However, this research still has limitations in terms of the number of documents analyzed.

This study contributes to the promotion and political debate of vocational education nationally and internationally. The study further explores how interest groups are taking a role in achieving Vocational High School and Vocational Higher Education policies that are compatible with today’s needs and demands.

The purpose of this study is to reveal the different ways in which a group of teachers understand the anger they feel toward the school principals with whom they interact.

The present study was designed and conducted as a phenomenography. In phenomenographic research, the number of different ways in which participants understand a particular phenomenon is revealed. The data from semi-structured interviews with 15 teachers who differed in terms of school level, gender and age were analyzed according to the phenomenographic tradition.

The analysis revealed that although the participants had eight different understandings of the anger in question, all participants had an understanding that was described as “An emotion arising from not being treated with the respect we deserve.”

The source of anger for the participating teachers was the behavior of their principals, which made them feel that they were not considered respectable and valuable. Incorporating this insight into the training of school leaders may lead to useful outcomes in improving the quality of interactions between principals and teachers.

As one of the few examples of phenomenographic research in educational management, the present study contributes to providing a solid foundation for exploring the anger that teachers feel toward their principals by showing how and in what ways participating teachers may understand this feeling.

A semiparametric stochastic frontier model is proposed for panel data, incorporating several flexible features. First, a constant elasticity of substitution (CES) production frontier is considered without log-transformation to prevent induced non-negligible estimation bias. Second, the model flexibility is improved via semiparameterization, where the technology is an unknown function of a set of environment variables. The technology function accounts for latent heterogeneity across individual units, which can be freely correlated with inputs, environment variables, and/or inefficiency determinants. Furthermore, the technology function incorporates a single-index structure to circumvent the curse of dimensionality. Third, distributional assumptions are eschewed on both stochastic noise and inefficiency for model identification. Instead, only the conditional mean of the inefficiency is assumed, which depends on related determinants with a wide range of choice, via a positive parametric function. As a result, technical efficiency is constructed without relying on an assumed distribution on composite error. The model provides flexible structures on both the production frontier and inefficiency, thereby alleviating the risk of model misspecification in production and efficiency analysis. The estimator involves a series based nonlinear least squares estimation for the unknown parameters and a kernel based local estimation for the technology function. Promising finite-sample performance is demonstrated through simulations, and the model is applied to investigate productive efficiency among OECD countries from 1970–2019.