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This study aims to present a conceptual framework aimed at promoting educational innovation in supply chain management and logistics (SCM&L). The framework can help to design active learning experiences regarding student learning outcomes that tackle current challenges in the discipline. Emphasizing the significance of linking students’ learning to real-world scenarios, the framework enables reflective learning through hands-on engagement in a constructive alignment, overcoming existing pedagogical limitations in the field.

This study presents a qualitative research methodology that relies on the case study method. Three instances are presented to illustrate educational efforts of active learning in countries of Latin America, Bolivia, Mexico and Peru, linking real-world relevant situations to disciplinary teaching and learning.

The innovative learning experiences introduced in this study transform real-world SCM&L operations into distinctive educational opportunities. These experiences facilitate learning not only within traditional classrooms but also in urban areas of the Latin American region, enabling students to interact with educational partners in authentic settings to achieve their intended learning outcomes. These experiences are characterized by their focus on establishing meaningful connections between learning and local communities, businesses or specific contexts.

The study recognizes various limitations of conceptual, methodological, execution-related and research process aspects. First, not all academics in the SCM&L discipline may universally acknowledge the importance of educational innovation and active learning experiences because of limited pedagogical awareness. Moreover, execution-related limitations arise from the demanding nature of incorporating active pedagogical approaches into courses, as they can be resource-intensive and time-consuming. Regarding research process limitations, the case study limits generalizability and broader inferences because of its particular views and locations, which require further investigation with other instances across other disciplines and geographical regions for validation.

The practical implementation of this framework within the MIT SCALE network for Latin America and the Caribbean (LAC) demonstrates its potential in meeting diverse academic and institutional expectations and providing educational benefits to students.

The study makes a valuable contribution to prioritizing and coordinating pedagogical research by investigating the success of learning outcomes achieved through active and experiential implementations in various contexts. It provides inspiring examples of innovative learning experiences that can drive new developments not only within the LAC region but also in other areas, prompting a shift away from traditional educational approaches.

This research presents a conceptual framework, which is developed from the insights obtained in the three learning experiences to guide future efforts in SCM&L education. The findings demonstrate how to structure active learning experiences based on authentic assessment and illustrate the potential for increased cooperation among institutions in Latin America. It also promotes the recognition of novel SCM&L active learning experiences and highlights some of the benefits of this approach.

This article investigates the application of generative artificial intelligence (GenAI) in experiential learning for authentic assessment in higher education. Recognized for its human-like content generation, GenAI has garnered widespread interest, raising concerns regarding its reliability, ethical considerations and overall impact. The purpose of this study is to explore the transformative capabilities and limitations of GenAI for experiential learning.

The study uses “thing ethnography” and “incremental prompting” to delve into the perspectives of ChatGPT 3.5, a prominent GenAI model. Through semi-structured interviews, the research prompts ChatGPT 3.5 on critical aspects such as conceptual clarity, integration of GenAI in educational settings and practical applications within the context of authentic assessment. The design examines GenAI’s potential contributions to reflective thinking, hands-on learning and genuine assessments, emphasizing the importance of responsible use.

The findings underscore GenAI’s potential to enhance experiential learning in higher education. Specifically, the research highlights GenAI’s capacity to contribute to reflective thinking, hands-on learning experiences and the facilitation of genuine assessments. Notably, the study emphasizes the significance of responsible use in harnessing the capabilities of GenAI for educational purposes.

This research showcases the application of GenAI in operations management education, specifically within lean health care. The study offers insights into its capabilities by exploring the practical implications of GenAI in a specific educational domain through thing ethnography and incremental prompting. Additionally, the article proposes future research directions, contributing to the originality of the work and opening avenues for further exploration in the integration of GenAI in education.

In the last decade, Argentina has experienced a considerable decline in informal employment and wage dispersion. This paper extends a search model with exogenous human capital accumulation to include the informal sector. The model is parametrized to match Argentinian data between 1996 and 1998 – before the onset of the declining trend – and it is used to investigate the contribution of labor market measures to the falling informality, unemployment, and wage dispersion. The findings indicate that institutional factors did not contribute to the positive labor market trends observed; on the contrary, results show that higher severance pay and minimum wages increase informality and that the introduction of unemployment assistance contributed to the spread of informal contracts across the work force. Further, I find that compliance with minimum wage regulation strongly affects the final impact of these policies. While non perfect compliance might reduce unemployment, it reinforces the incentives of workers to move to the informal sector.

This paper reports the final results of a development project conducted on nitrogen‐based atmospheres in order to improve the firing of copper thick films. Having shown that improvements in copper thick film performance can be obtained under production conditions by the control and regulation of oxygen additions during the first stages of firing, the authors studied the effects on copper thick film systems of other gaseous oxidisers (CO2, N2O, H2O) injected into the nitrogen furnace atmosphere either throughout the entire furnace or into its burnout zone only. SEM examinations of the microstructures of copper films, correlated with properties such as adhesion, solderability and resistivity, allow ideal firing atmosphere conditions for copper thick film manufacturing to be determined: it is necessary to restrict atmosphere doping to the burnout zone; oxygen and water vapour are the most effective gaseous dopants. Some specific equipments have been developed for controlling the injection of these dopants into the furnace atmosphere.

This paper reports the results of development work conducted on nitrogen‐based atmospheres in order to improve the firing of copper thick film systems through continuous furnaces. The proposed solution is particularly suitable for industrial production conditions since it allows variations of the material quantity processed per unit time, resulting not only in an improvement in quality but also in productivity. Such improvements have been achieved by using a new gas distribution system which provides both zone control and regulation of oxygen additions in the nitrogen furnace atmosphere. An efficient set‐up of this system has become possible thanks to precise control of the oxygen profile in relation to the temperature cycle, taking into account various inks' characterisation, and owing to an extensive study of the effects of oxygen additions on copper thick film properties. The solution was tested in a muffle‐lined belt furnace with several commercial dielectric and copper inks, and for increasing oxygen additions into the furnace preheat zone. Different sample patterns were designed to test both monolayer and multilayer systems. The test programme includes measurements of resistivity, bondability, solderability, dielectric breakdown voltage and adhesion of copper films on alumina and on dielectric layers before and after ageing. Ink characterisation by thermogravimetry and by several gas analyses has confirmed that the organic vehicle removal mechanism under nitrogen atmospheres doped with oxygen is a burnout. Indeed, significant oxygen consumption occurs within the temperature range of the removal, as a function of the amount of ink processed. Oxygen additions in the furnace burnout zone greatly improve both the dielectric breakdown voltage and the adhesion of copper on alumina and on dielectric (especially after ageing), while sheet resistivity, wire bondability and soft solderability are not altered below a defined O2 level. It is therefore possible to determine an optimum oxygen addition range for which the thick films fired under such conditions will have the best characteristics. This optimum oxygen window is achieved thanks to a new regulation system which operates whenever variations occur in the quantity of paste processed.

The use of artificial intelligence (AI) in management research is still nascent and has primarily focused on content analyses of text data. Some method scholars have begun to discuss the potential benefits of far broader applications; however, these discussions have not led yet to a wave of corresponding AI applications by management researchers. This chapter explores the feasibility and the potential value of using AI for a very specific methodological task: the reliable and efficient capturing of higher-level psychological constructs in management research. It introduces the capturing of basic emotions and emotional authenticity of entrepreneurs based on their macro- and microfacial expressions during pitch presentations as an illustrative example of related AI opportunities and challenges. Thus, this chapter provides both motivation and guidance to management scholars for future applications of AI to advance management research.

The purpose of this study is to explore the association between intake of different types of dietary fats with breast cancer (BC) risk in Iranian women.

A total of 540 women (180 women with BC and 360 healthy women) were recruited from Shohadaye Tajrish hospital, Tehran, Iran. Data on anthropometric measurements, physical activity, smoking and alcohol consumption were collected. The food frequency questionnaire was used to assess the intake of fatty acids including saturated fatty acids, mono unsaturated fatty acids, poly unsaturated fatty acids, macronutrients, total fat, cholesterol, and calorie.

The cases had significantly higher BMI (29.19 ± 3.2 vs 27.27 kg/m2 ± 2.8) and higher intake of calorie (2737 ± 925 vs 2315 ± 1066 kcal/d, P = 0.01), carbohydrate (402 ± 125 vs 312 ± 170 kcal/d, P = 0.01) and ω−6 fatty acids (5.45 ± 6.9 vs 3.39 ± 0.59 g/d, P = 0.001) compared to the control group . Higher consumption of ω−6 fatty acids was related with higher risk of BC (OR = 5.429, CI95%:2.5–11.79, P = 0.001) The association between BC and intake of omega-6 fatty acids remained significant after adjustments for age, BMI, for using alcohol drinks, smoking, physical activity, calorie intake, protein intake and carbohydrate intake.

There are insufficient studies to investigate the association of different types of fatty acids with BC. This study found that higher omega-6 fatty acids intake was associated with increased risk of BC in women.

This study aims to analyse the extent of online social responsibility (SR) information disclosure by Portuguese municipalities and to identify related determinant factors, based on Institutional Theory and Legitimacy Theories.

A content analysis was performed on webpages from 60 sampled municipalities, and an information disclosure index was created.

Descriptive statistics obtained indicate the Total Disclosure Index (TDI) value was 0.46. The Economic Information sub-category exhibits the highest value (0.66), followed by the Social and Environmental Information categories (0.61 and 0.36, respectively).

The multivariate analysis results indicate that LA21 implementation the existence of tax burdens, the characterisation of a municipality as urban and environmental/SR certification application positively influence SR information disclosure. TDI is negatively affected by the existence of an inactive population (i.e. by the percentage of individuals ≤19 and ≥65 years of age).

City governments know well that culture is a powerful tool they can use to promote local development. Those governors also know that there are different ways to pursue that process. Two main strategies considered here are: instructional strategies, which promote cultural services among local inhabitants, and instrumental strategies to promote economic development creating big cultural spaces and large events. This chapter shows the impact of cultural strategies on the attraction of creative residents (creative class), as well as on income differences among Spanish municipalities.

Our main hypothesis is: in comparison with instructional strategies, instrumental strategies have a positive impact on local creativity and economic development. Using secondary data from the Spanish census, cultural strategies in a local area are analyzed, and are included in multiple regression models to test this idea.

These analyses show that, first, instrumental strategies have a positive impact on creative class localization; second, these strategies have a positive impact on local income regardless of the presence of a creative class, and moreover, the impact of a creative class on local income depends on the orientation of cultural strategies. This implies that the impact of creativity on local development is contextual according to the nature of local cultural strategies.

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.