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The cyber-physical system (CPS) is a well proven technology for improving system performance, resilience, and interconnectivity. In emerging nations like India, the logistics industry lacks practices connecting logistical equipment with cyberspace. This paper aims to bridge this gap by identifying and evaluating the performance metrics of connectivity solutions. Its goal is to establish an appropriate infrastructure that enables seamless connectivity within the CPS-enabled logistics ecosystem.

A novel integrated decision method is employed to classify the optimal connectivity solution for CPS. It integrates Regret Theory (RT) and Preference Ranking for Organization Method for Enrichment Evaluation (PROMETHEE-1) method in a Hesitant Fuzzy (HF) environment. This method considers the psychological traits of decision-makers and effectively incorporates their hesitancy for the classification.

The findings highlight security (c10) as the foremost critical performance metric, followed by cost (c6), scalability (c9), traceability (c2) and trustworthiness (c1) to build connective infrastructure for CPS. For extensive coverage scenarios, like freight transportation, cellular connectivity (a2) emerges as the most suitable connectivity solution.

This study provides a roadmap to logistics managers for selecting a suitable connectivity infrastructure to enhance seamless connectivity in logistics operations and processes. Technology providers can utilize the findings to develop the CPS infrastructure for effective freight logistics management.

This research introduces a novel decision-making tool for making choices related to advanced technology assessment. It holds significant value in facilitating well-informed decisions in the digital transformation era.

The cruise sector's workforce is highly diverse in terms of nationalities, age, and gender. However, diversity in the workforce does not guarantee business success.

Decades of research on the effects of diversity indicate that it can negatively or positively affect an organization's performance. A more diverse workforce does not automatically perform better financially, feels more committed to their companies, nor experiences higher levels of satisfaction. Indeed, data suggest diversity may produce more conflict, employee turnover, but if well managed can lead to greater creativity and innovation.

This chapter explores the cruise industry's diversity and inclusion challenges and management practices. To examine what cruise companies are doing in this field, we reviewed the public data of the four largest cruise companies. We analyzed how these companies define diversity, their commitment to inclusion, their practices, their metrics, and their primary objectives.

Firstly, there is no theoretical model that includes all variables that affect the management of diversity in the cruise sector. Secondly, companies communicate a commitment to inclusion in their corporate social responsibility (CSR) reports and refer to similar policies implemented by the hospitality industry. Thirdly, the main challenges are the multicultural environment and the limited female representation.

The major limitation of this study is the data source. We recommend further studies supported by nonpublic company data. We encourage cruise industry leaders to support the research to develop an empirically tested model that captures the specific variables that affect diversity management in the industry.

We highlight three approaches for structuring data analysis to aid leadership educators and researchers in investigating differences between populations, considering the variable of age.

Utilizing real data, we exemplify the three approaches to illustrate how insights might be gained.

We offer illustrative empirical findings in this reflective essay to demonstrate the three approaches. Our empirical examples are real, but not designed to be the purpose of this essay.

We provide three methodological approaches to analyzing leadership data that can assist leadership educators and researchers in determining an appropriate method for meaning-making with their data.

We seek to describe three different approaches to data analysis that are likely accessible and convenient as well as could lead to insight for leadership educators and researchers.

This chapter underscores the increasing importance of diversity, equity, inclusion, and justice (DEIJ) education in business schools, citing societal disparities, corporate commitments, and social movements. The Association to Advance Collegiate Schools of Business (AACSB) emphasizes the role of diverse representation in faculty, staff, and curriculum to inspire learners and foster diverse leadership in business. The call for integrated DEIJ throughout the business curriculum is not new, and the text suggests introducing these topics through a stand-alone foundational course. It acknowledges the challenges of curricular changes and recommends democratic processes for effective implementation. This chapter encourages exploring the impact of biases in artificial intelligence (AI) and suggests incorporating discussions on AI tools like ChatGPT as educational opportunities to address biases within the context of business and society.

This paper aims to address the United Nations’ Sustainable Development Goal 4 “quality education” through the adoption of heutagogic ideas in improving work-based learning for individuals.

This paper locates a discussion of heutagogy within the wider context of vocational and higher education, as well as through reference to the theoretical discourse on learning theory.

Heutagogy is concerned with the development of individual capability through the creation of a learner-determined curriculum that is attuned to professional goals. Organizations that adopt heutagogic approaches enhance corporate adaptiveness through personalized learning.

This briefing provides the reader with an accessible insight into both the individual and organizational benefits of adopting heutagogic ideas in professional development. As organizations confront an increasingly uncertain external environment, this paper offers an insight into how to develop individual capability.

Organizational scholars studying compensation often place an emphasis on certain employee groups (e.g., executives). Missing from this discussion is research on the compensation systems for low-wage jobs. In this review, the authors argue that workers in low-wage jobs represent a unique employment group in their understanding of rent allocation in organizations. The authors address the design of compensation strategies in organizations that lead to different outcomes for workers in low-wage jobs versus other workers. Drawing on and integrating human resource management (HRM), inequality, and worker literatures with compensation literature, the authors describe and explain compensation systems for low-wage work. The authors start by examining workers in low-wage work to identify aspects of these workers’ jobs and lives that can influence their health, performance, and other organizationally relevant outcomes. Next, the authors explore the compensation systems common for this type of work, building on the compensation literature, by identifying the low-wage work compensation designs, proposing the likely explanations for why organizations craft these designs, and describing the worker and organizational outcomes of these designs. The authors conclude with suggestions for future research in this growing field and explore how organizations may benefit by rethinking their approach to compensation for low-wage work. In sum, the authors hope that this review will be a foundational work for those interested in investigating organizational compensation issues at the intersection of inequality and worker and organizational outcomes.

Experiential learning is crucial in education, as it offers hands-on, practical experiences that enable individuals to develop their skills and knowledge more engagingly and interactively. In recent years, experiential learning has become a significant aspect of education. To provide academic scholars with a thorough roadmap for further investigation, this study aims to provide useful insights into the bibliometric and content analysis of experiential learning, including keywords, well-known authors, publications, nations and topics.

This research does a rigorous bibliometric analysis to give a thorough and visually instructional assessment of the evolution and advancement of the literature on experiential learning. Its fast development between 1976 and 2022 is meticulously tracked in the research. By using VOSviewer and Biblioshiny tools, the present study presents a concise overview of 507 records retrieved from the Scopus database using the keyword “Experiential Learning”, following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis protocol. Deeper text mining was done using Python libraries “Pandas” and “Natural Language Toolkit” and regular expressions.

The findings reveal a surge in the number of publications on experiential learning and provide insights, particularly using the theory, context, characteristics, methodology analysis, supporting researchers and practitioners to understand learning better and provide perspectives for future research. Descriptive bibliometric analysis showed that most contributions are from the USA, the UK and Canada. In-depth content analysis revealed five clusters: developments in learning, management education, engineering curricula, organisational learning and knowledge management and entrepreneurship education. The keyword co-occurrence analysis enabled linkages between relevant fields of study and significant research domains. The most commonly used theories were: experiential learning theory, social learning theory, relational coordination theory, empowerment theory, feedback learning theory, effectuation theory and human capital theory.

This study uses information from the Scopus database to do a bibliometric analysis of experiential learning from 1976 to 2022. This study serves as a valuable resource for researchers in the field, helping them to position their work more explicitly within the existing literature and highlighting potential areas for future research. It does this by thoroughly analysing the literature on experiential learning using bibliometrics.