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This paper aims to reexamine the relationship between financial openness and financial development in Ghana.

The study applied maximum likelihood estimation and autoregressive distributed lag approach and tested Granger causality using quarterly data from 1990:1 to 2020:4.

This study revealed a long-run equilibrium relationship between financial openness and development, indicating that financial openness is a critical factor in Ghana’s financial development. Therefore, the study recommends with caution that policies aimed at promoting financial openness could be an effective way to encourage sustainable financial development in Ghana, as financial openness alone may not bring the desired outcome.

The study contributes to the existing body of knowledge by providing empirical evidence of the link between financial openness and financial sector development in Ghana. Future research could delve deeper into the mechanisms through which financial openness affects financial development, exploring potential channels and transmission mechanisms.

The findings suggest that policymakers, particularly the Ministry of Finance and the Bank of Ghana, should prioritize policies aimed at promoting financial openness. This includes continued efforts toward financial liberalization and creating an environment conducive to domestic and international financial transactions. Moreover, policies aimed at increasing trade openness, boosting real GDP and maintaining moderate real interest rates are essential for fostering financial sector development.

Enhancing financial sector development can have significant implications for society, including increased access to financial services, improved economic opportunities and enhanced overall economic stability. By promoting financial openness and development, policymakers would contribute to poverty reduction, job creation and overall socio-economic development. The study bridges the gap between theory and practice by providing empirical evidence supporting the theoretical proposition that financial openness stimulates financial sector development.

This study fills a crucial gap in the literature on the effects of financial openness on Ghana’s financial sector development. It focuses on Ghana, which liberalized its financial sector in 1988 as part of the overall economic reforms in 1983, and this justifies the starting point of this paper in 1990, as there are no adequate data before 1990. The study uses principal component analysis to construct an index that measures financial development. The study considers the recent financial crises in Ghana in 2017 and underscores the importance of understanding the link between financial openness and financial development, which becomes useful for policymakers and researchers studying financial system development in sub-Saharan Africa which includes Ghana.

This chapter discusses the utility of authentic leadership for the UN's Sustainable Development Goals and argues that the capacity-building value of authentic leadership enables change and improves performance. The authors view authentic leadership as a genuine, transparent, positive, ethical form of leadership that strives to address grand challenges. They outline its application in two cases: well-being (SDG3) and education (SDG4). Daskou and Tzokas conclude with a criticism of the value of authentic leadership in the successful delivery of the SDGs. Daskou and Tzokas recommend investigating how authentic leaders' balanced information processing and internalised moral perspective contribute to positive self-development, better education outcomes and well-being among students, educators and employees.

This project inquires whether transitioning to adopting sustainable practices involves emphasizing the significance of education and skill development that aligns with employees' knowledge. Additionally, this project explores whether soft skills can act as a means for effective communication, collaboration and ethical decision-making when addressing the intricate and socially interconnected nature of sustainability challenges. Thus, this research explores employee sustainability knowledge and soft skills to gain a more nuanced understanding to provide evidence-based recommendations to enhance organizational sustainability initiatives.

This study used a form of chain-referral sampling with two populations. A two-step cluster analysis with a log-likelihood distance measure and Schwarz’s Bayesian criterion was employed to identify communities of employees with different levels of sustainable practices and soft skills knowledge. A corresponding analysis was conducted to better understand different communities in terms of industry and managerial experience. A confirmatory factor analysis was conducted using a covariance-based measurement model to establish measurement validity and reliability and to impute latent variables (i.e. constructs) scores.

Aligning human resource (HR) strategies with these identified knowledge communities enables organizations to strategically enhance comprehensive training programs promoting sustainable practices and soft skills. Tailored training and workforce development programs for each community are recommended, with the proposal of active training methods like Lego Serious Play to dynamically engage employees. As organizations increasingly invest in training, this research offers valuable insights for educators and industry professionals to better cultivate and apply soft skills to develop employee sustainability practices and enhance employee development.

Although this study’s findings are not generalizable to the population, they are useful when considering critical sustainability knowledge and soft skills necessary for employees in the hospitality industry. The convenience sample of this study could have been more robust, with participants with greater tenure in the industry or a better understanding of sustainable practices and soft skill competencies. This research used a Qualtrics survey to gather subject responses. This may have caused biases in responding to the survey, such as a central tendency, immediacy, the rater’s knowledge about each criterion or boredom with the survey length.

The practical implications drawn from this study’s findings offer actionable insights for organizations seeking to enhance sustainability practices within their workforce. As one navigates the diverse landscape of employee categories, including sustainable champions, emerging learners and skillful initiators, it becomes evident that a one-size-fits-all approach to training and workforce education is not conducive to cultivating a sustainable culture. In this section, some possible practical strategies tailored to each employee category are suggested, ensuring that organizations can effectively harness the unique strengths and development needs within their workforce.

Using a social cognitive theoretical lens (Bandura, 1977), sustainable catalysts' elevated knowledge levels make them influential contributors to the organization’s sustainability goals, while their adeptness in soft skills positions them as effective communicators, collaborators and leaders in fostering a culture of sustainability. Figure 1b displays this idea. As such, sustainable catalysts were present four times in the effectiveness of the top five soft skills, meaning these sustainable catalysts should be the area of primary focus as they can assist organizations by educating other employees due to their enhanced soft skills and level of sustainability knowledge.

Rooted in social cognitive theory, this study investigated how HR practices can effectively shape sustainability-related workforce development in the workplace. The results identified distinct knowledge communities – sustainable catalysts, skillful initiators, emerging learners and sustainable champions – aligned with quadrants of sustainable practice effectiveness. Aligning HR strategies with these identified knowledge communities enables organizations to strategically enhance comprehensive training programs promoting sustainable practices and soft skills.

This study aims to examine the relationship between financial inclusion and financial system development in emerging and frontier markets.

Using data across 35 countries over 19 years (2004–2022), the improved GMM estimation technique reveals that financial inclusion significantly contributes to the development of financial systems.

The study uses a segmented approach, dividing financial development indices into subindices: financial depth, financial access and financial efficiency. Indicators of bank financial inclusion show a positive and highly significant relationship with bank depth and access but a negative relationship with bank efficiency. Similarly, indicators of the debt market and stock market financial inclusion demonstrate positive relationships with market depth and access but negative relationships with debt and stock market efficiency. The study further examines composite indexes of financial inclusion for bank, debt and stock market segments, finding strong and highly significant relationships with market development. These results underscore the importance of promoting financial inclusion across all segments of the financial sector to achieve an inclusive financial system.

The implications of this research highlight the need for policymakers and practitioners to implement policies and regulations that enhance financial inclusion and foster the development of robust financial systems. By extending access to mainstream financial instruments and services, financial institutions can stimulate financial intermediation and support, thereby accelerating the development of the banking, debt and stock markets.

The study is robust to the use of several indicators of financial inclusion and financial development, and it forms part of the early studies that examine the close relationship between the two variables.

This study aims to support researchers and practitioners in finding suitable instruments for future research studies and organizational quality assessments.

Employees’ success of learning at work is strongly influenced by the quality of the workplace learning environment. In the recent decades growing effort has been given to the development of surveys to measure the quality of workplace learning, resulting in a large number of available survey instruments. This study conceptually draws on a 3-P model and uses a qualitative metasynthesis to collect and categorize n = 94 surveys that intend to measure the quality of workplace learning (WPL).

The results underline that research on WPL environments is a highly interdisciplinary endeavor, where every discipline enriches the field by a new perspective and own foci. Overall, this study finds a focus on learning culture and working conditions, on social and functional inclusion of the learner and on support and feedback during training. Products of WPL such as professional competences or career aspirations play a minor role.

With the integration of quality measurement instruments from various research studies, this study produces an interactive online instrument map that gives a broad, yet organized overview of available quality measures in the WPL field.

This bibliometric mapping study aimed to provide comprehensive insights into the global research landscape of cybernetics. Utilizing the biblioshiny function in R Studio, we conducted an analysis spanning 1958 to 2023, sourcing data from Scopus. This research focuses on key terms such as cybernetics, cybernetics systems, complex adaptive systems, viable system models (VSM), agent-based modeling, feedback loops and complexity systems.

The analysis leveraged R Studio’s biblioshiny function to perform bibliometric mapping. Keyword searches were conducted within titles, abstracts and keywords, targeting terms central to cybernetics. The timespan, 1958–2023, provides a comprehensive overview of the evolution of cybernetics-related literature. The data were extracted from Scopus to ensure a robust and widely recognized source.

The results revealed a rich and interconnected global research network in cybernetics. The word cloud analysis highlights prominent terms such as “agent-based modeling,” “complex adaptive systems,” “feedback loop,” “viable system model” and “cybernetics.” Notably, the journal Kybernetes has emerged as a focal point, with significant citations, solidifying its position as a key source within the cybernetics research domain. The bibliometric map provides visual clarity regarding the relationships between various concepts and their evolution over time.

This study contributes original insights by employing advanced bibliometric techniques in R Studio to map the cybernetics research landscape. The comprehensive analysis sheds light on the evolution of key concepts and the global collaborative networks shaping cybernetics research. The identification of influential sources, such as Kybernetes, adds value to researchers seeking to navigate and contribute to the dynamic field of cybernetics. Furthermore, this study highlights that cybernetics not only provides a useful framework for understanding and managing major economic shocks but also offers perspectives for understanding phenomena in various fields such as economics, medicine, environmental sciences and climate change.

The purpose of this study is to explore the potential contribution of the metaverse to improve training and development as a function of human resource development (HRD) perspective. The authors explore the benefits and challenges of the metaverse and introduce cases of companies using the metaverse in training.

A narrative literature review was conducted to collect information on the metaverse in training. The authors reviewed peer- and non-peer-reviewed articles, book chapters, white papers, corporate websites and blogs and business magazines.

A total of 75 articles were reviewed, including 14 cases, which were summarized to demonstrate how companies are applying metaverse technology in training contexts. For a more in-depth review, three cases were selected and summarized in terms of context, process and outcomes.

The metaverse is an emergent topic in HRD. It has the potential to revolutionize the functions of training and development through the combination of advanced technologies, including virtual reality, augmented reality and mixed reality. This article is the foundational attempt to provide a comprehensive summary of existing literature and case studies that highlight the potential of the metaverse in training within the context of HRD.

Using the Canadian Census of 2016, the present study examines the Black and White gap in compensating differentials for their commute to work.

The data are from the Canadian Census of 2016. The standard Mincerian wage regression, augmented by commute-related variables and their confounders, is estimated by OLS. The estimations use sample weights and heteroscedasticity robust standard errors.

In the standard Mincerian wage regressions, Black men are found to earn non-negligibly less than White men. No such gap is found among women. When the Mincerian wage equation is augmented by commute duration and its confounders, commute duration is revealed to positively predict wages of White men and negatively associate with wages of Black men. At the same time, in the specifications including commute duration and its confounders, the coefficient for the dummy variable identifying Black men is positive with a non-negligible size. The latter pattern indicates wage discrepancies among Black men by their commute duration. Again, no difference is found between Black and White women in these estimations.

The main caveat is that due to data limitations, causal estimates could not be produced.

For the Canadian working men, the uncovered patterns indicate both between and within race gaps in the impact of commuting on wages. Particularly, Black men seem to commute longer towards relatively lower paying jobs, while the opposite holds for their White counterparts. However, Black men who reside close to their work earn substantially more than both otherwise identical White men and Black men who live far away from their jobs. The implications for research and policy are discussed.

This is the first paper focused on commute compensating differentials by race using Canadian data.