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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.

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.

Most prior studies treated human resource management (HRM) strength as a whole, while neglecting the dynamic interactions between distinct components (consensus, consistency and distinctiveness). The authors lack a deep understanding of how different components operate together to influence burnout. To address these gaps, this study aims to adopt signaling theory to investigate the interactions among different components and their impacts on employee burnout.

The authors collected time-lagged data from 231 full-time employees in manufacturing firms in Suzhou, China. The authors used the PROCESS Model 6 and hierarchical multiple regression to analyze the data.

This study found that HRM system consensus and consistency mitigate employee burnout, whereas HRM distinctiveness is not significantly related to burnout. Furthermore, the authors revealed that HRM system consistency (rather than distinctiveness) mediated the relationship between consensus and burnout. Moreover, the authors found the sequential mediating effects of HRM system distinctiveness and consistency on the association between consensus and burnout.

Considering that employees’ well-being problems may be debilitating and overwhelming during the COVID-19 pandemic, it is particularly ethical and timely for managers to direct attention to the role of HRM system strength in addressing employee burnout.

This study advances the HRM system literature by teasing out the interactions between the three pivotal components of HRM strength. Our study is among the first to empirically investigate the internal relationships between the meta-features of the HRM system and employee burnout. In doing so, the authors develop a more nuanced understanding of the collective nature of a strong HRM system that conveys a shared message about HRM to promote well-being.

The purpose of this paper is to investigate the generation of civic and public (C&P) engagement as an integrative outcome of a proper balance between emotional, rational and spiritual knowledge, via the mediation of interpersonal competencies.

The empirical analysis relies on a questionnaire-based survey conducted with 294 respondents from two knowledge-intensive organizations. Structural equation modeling, using Smart PLS 4, is used to analyze the data.

Individual knowledge can be considered as the refined outcome of the underlying transformations of various knowledge sources and resources, which is apposite for the next level of knowledge workers’ acumen. Individual knowledge – which relies on a good balance of rational, emotional and spiritual knowledge – exerts a positive effect on interpersonal competencies, wherein the latter positively influences the C&P engagement of knowledge workers.

Policymakers should capitalize on the development of strong interpersonal competencies; they should be able to understand the social mechanisms of motivating people, of stimulating, harnessing and channeling individual knowledge toward higher C&P as a prerequisite of value creation.

To the best of the authors’ knowledge, this is the first argumentative undertaking intended to explore the conversion of the three knowledge types into individual knowledge as a premise of interpersonal competencies development and as a relevant antecedent of C&P engagement. The results of this paper support that achieving balance in one's life is essential for increasing interpersonal competencies and C&P engagement. This study not only represents the first contribution to this debate but also helps managers and organizations to recognize that a good balance requires emotional, rational and spiritual knowledge.

The present study explores gender inequalities in the entrepreneurial landscape in Romania, based on Global Entrepreneurship Monitor (GEM) data, highlighting similarities and differences between women and men entrepreneurs. Even if the GEM reports include data on entrepreneurship since 1999, Romania has been among the participating countries only since 2007 for the Adult Population Survey (GEM, APS). Thus, to include Romania in the analysis, the data from this study were selected for nine years, namely from 2007 to 2015. Our results indicate that among Romanian men and women, similar drivers influence the odds of engagement in entrepreneurial activities relative to not being involved in businesses. For both men and women, having confidence in their knowledge and skills had the highest odds ratio values. Also, identifying opportunities proved to be positive and significant for both genders, while fear of failure had the opposite effect. Knowing other entrepreneurs can lead to great benefits generated through social exchange. Findings reveal that the external knowledge that an entrepreneur’s environment gives rise to can prove to be supportive in the discovery of opportunities and their exploitation.

Research on the role of women in Public Relations (PR) has seen a notable increase in recent years (Topić et al., 2019), yet exploratory studies on the subject remain limited, particularly concerning the role of women in the academic sphere of PR in Spain. Guided by the imperative to reflect on the role of PR professionals operating within the Spanish academic landscape, this chapter aims to identify and reflect on the role of women in PR academia in Spain to discover the extent to which women are leading the communication faculties where PR is taught; to identify the presence of women in the departments where communication studies take place and to determine women's leadership in national research activity. This study follows a combined approach with two dimensions, exploratory and interpretative, combining quantitative and qualitative techniques. The interpretative approach is developed using a focus group with women currently working in PR education and leading projects and institutions in the Spanish academia. Through this research, we discover the struggles and opportunities they face and identify possible solutions and ideas to improve the situation of women in academia and, specifically, in PR.

Access to services for consumers with disabilities (CwD) has gained increased attention from researchers and service providers in recent years. Consequently, ensuring that services are designed and maintained in a manner that is more inclusive and accessible to CwD has become imperative. However, academic literature is fragmented and thus, this study aims to provide a state-of-the-art synthesis for further theoretical development.

This study reviews 77 relevant articles in the domain using a multidisciplinary review following the PRISMA protocol, and a thematic analysis was conducted.

The study thoroughly synthesizes the theories, contexts and methods used in the extant literature. Next, the study presents a new theoretical framework with four broader dimensions: beyond regulations, towards accessibility, value co-creation, inclusion of CwD and role of stakeholders. Furthermore, it highlights the related sub-dimensions attributed to the service design stages (planning, usage and post-usage). Based on this, the study offers critical avenues for future research using the Double Diamond framework.

The study contributes significantly to service design literature for CwD and transformative service research by developing a new consolidated theoretical framework. The findings should direct service providers towards better service designs in related fields. Socially, the study has implications for promoting accessibility and inclusion for CwD, while providing them the freedom of choice.

Understanding when an individual is being deceptive is an important part of police and criminal investigations. While investigators have developed multiple methods, the research literature has yet to fully explore some of the newer applied techniques. This study aims to investigate statement analysis, a recent approach in forensic linguistic analysis that has been applied to criminal investigations.

Real-world statements of individuals exposed as deceptive or truthful were used in the analyses. A behaviour sequence analysis approach is used to provide a timeline analysis of the individuals’ statements.

Results indicate that sequential patterns are different in deceptive statements compared to truthful statements. For example, deceptive statements were more likely to include vague words and temporal lacunas, to convince investigators into believing that the suspect was not present when the crime occurred. The sample in this research did not use one deceptive indicator, instead, electing to frequently change the order of deceptive indicators. Gaps in deception were also noted, and there was common repetition found in both the deceptive and truthful statements. While gaps are predicted to occur in truthful statements to reflect an absence of deception, gaps occurring in the deceptive statements are likely due to cognitive load.

The current research provides more support for using statement analysis in real-world criminal cases.

The purpose of this paper is to address the complexity of missing persons cases and highlight the linguistic differences that arise in this type of crime. Missing persons cases are typically very complex investigations. Without a body, crime scene forensics is not possible, and police are often left only with witness and suspect statements. Forensic linguistics methods may help investigators to prioritise or remove suspects. There are many competing approaches in forensic linguistic analysis; however, there is limited empirical research available on emerging methods.

This research investigates Statement Analysis, a recent development in linguistic analysis that has practical applications in criminal investigations. Real-world statements of individuals convicted of or found to be not guilty of their involvement in missing persons cases were used in the analyses. In addition, Behaviour Sequence Analysis was used to map the progressions of language in the suspects' statements.

Results indicated differences between the guilty and innocent individuals based on their language choices, for example, guilty suspects in missing [alive] cases were found more likely to use passive language and vague words because of high levels of cognitive load associated with the several types of guilty knowledge suspects in missing persons cases possess. Of particular interest is the use of untruthful words in the innocent suspects’ statements in missing [murdered] cases. While typically seen in deceptive statements, untruthful words in innocent statements may result because of false acquittals.

This research provides some support for Statement Analysis as a suitable approach to analysing linguistic statements in missing persons cases.