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This study bridges the gap in quality control strategies for high-volume production by balancing the cost and effectiveness of inspection strategies. Using the cost of quality (CoQ) to manage cost and external failures (EF) to gauge effectiveness, this research introduces an innovative inspection strategy chart that serves as a decision-making tool for optimizing inspection processes.

This paper presents a scenario-based framework designed to support strategic decision-making in inspection processes by integrating empirical data analysis with inspection strategy charts. This approach allows for a dynamic assessment and visualization of the relationship between CoQ and EF, facilitating more informed decision-making in quality management. Notably, it contrasts the traditional models with a novel approach that more accurately captures the uncertainty and correlation among key quality indicators, showcasing its potential for more refined decision-making in quality management.

Application of the framework illustrates its effectiveness in offering a nuanced understanding of the cost implications and effectiveness of various quality control strategies. This facilitates enhanced strategic decision-making, optimizing inspection processes and reducing external failures in high-volume production settings.

The study focuses on a single industry case study, limiting the generalizability of findings across different high-volume production contexts. Future research could explore the framework’s applicability in other sectors and refine the model based on additional empirical data.

The research introduces a versatile framework that navigates the unique challenges of high-volume manufacturing environments. Diverging from models optimized for low-volume settings, this approach provides a valuable tool for adapting inspection strategies to complex production demands, marking a significant contribution to quality management and control literature.

In recent years, the emergence of Industry 4.0 technologies as a way of increasing productivity has attracted the attention of the manufacturing industry. This study aims to investigate the relationship between Industry 4.0 technologies and lean tools (LTs) by measuring how the internalisation of LTs influences the adoption of Industry 4.0 technologies and how the synergy between them helps improve productivity in European manufacturing firms.

Results from 1,298 responses were used to analyse linear regression and study the correlation between the use of LTs and Industry 4.0 technologies.

Results show that the companies analysed tend to implement more Industry 4.0 technologies when their level of lean internalisation is high.

This study provides useful information for managers of manufacturing firms by showing the correlation between LT internalisation and Industry 4.0 technologies, corroborating that optimal implementation of these technologies is preceded by a high level of LT internalisation. Furthermore, although there are studies showing the relationship between LTs and Industry 4.0 technologies, none consider the intensity of their implementation.

Employees are driven and motivated to exercise knowledge-based resources as a result of leadership. Therefore, this study aims to examine the effect of authentic leadership on organizational commitment and tacit and explicit knowledge-sharing behaviors in Saudi non-profit organizations (NPOs). The study also aims to explore authentic leadership’s direct and indirect impact on tacit and explicit knowledge-sharing behaviors via organizational commitment.

The study used a quantitative research design by distributing a survey questionnaire among 415 employees. A total of 300 responses were collected during the survey questionnaire data collection.

The results showed that authentic leadership significantly and positively influenced organizational commitment and tacit and explicit knowledge sharing. Additionally, organizational commitment significantly and positively mediated the relationship between authentic leadership and tacit knowledge sharing, and there was partial mediation. However, organizational commitment failed to mediate the relationship between authentic leadership and explicit knowledge sharing.

The management of Saudi NPOs should focus on developing knowledge capital resources for employees who work in an organization to get a competitive advantage.

The study made a novel contribution that the Saudi NPOs should promote tacit and explicit knowledge-sharing but focus more on explicit knowledge sharing.

Mexico is going through an accelerated increment of the older adults population, which added to the conditions of poverty, places them in a high degree of vulnerability. Bearing this in mind, the aim of this paper is to identify which categories or factors generate the perception of subjective well-being (SWB) in older adults in Mexico.

This qualitative study was carried out in four Mexican states: Mexico City, Tamaulipas, State of Mexico and Oaxaca. Each state presents different levels of social well-being. The study participants were selected using the snowball method. In total, 41 in-depth interviews were carried out, which were analyzed with a thematic analysis approach.

Results show that older people’s SWB is related to different elements like family bonds, having good physical and mental health, personal development and practicing religion.

Results represent experiences only for people interviewed in the states in which interviews were conducted, not representing national scope. Future studies can expand the territorial scope to have a higher comprehension regarding SWB in older adults.

These findings have implications in the design of public policies and programs, for improving the delivery of social and economic services to older adults within the Mexican context.

This study aims to address the following objectives: determine the pro-environmental behavior of students and professors engaged in the course Sustainable Tourism; determine the pro-environmental behavior component of the professor that has the highest influence on the pro-environmental behavior of students; and formulate a model describing the components of the pro-environmental behavior of the professor with significant influence on the pro-environmental behavior of students. It also evaluates the norm-activation-theory-aligned pro-environmental behavior of the course's instructor and the students taking the course after they participated in the course Sustainable Tourism.

A correlational analysis using the partial least squares structural equation modeling approach was conducted in the survey results to determine the specific components of the professor's pro-environmental behavior that influenced the students' pro-environmental behavior.

Situational responsibility, efficacy and denial of responsibility were proven more influential in shaping students' pro-environmental behavior. This implies that students learn and adopt a pro-environmental orientation through role modeling and practical application, not by knowledge acquisition.

This could improve the body of knowledge on pro-environmental behavior by analyzing the reciprocal relationships between the person who delivers the course that instills pro-environmental behavior and students who learn from their professors using the norm activation theory.