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This chapter explores the nature of knowledge codification. The chapter discusses the knowledge codification process and explains how it aligns with the broader field of knowledge engineering. The authors break knowledge codification process into (1) knowledge modeling, (2) knowledge representation and modeling of semantic memory, and (3) knowledge representation and modeling of semiotic networks. The chapter also defines object-oriented models, the representation of tasks, and process modeling. The authors also focus on the total concept and methods of knowledge engineering that are at the origin of the MASK Knowledge Book technique.

This paper contributes to the literature on exchange rate exposure by assessing the extent to which exchange rate risk is priced in both African emerging and developed equity markets. It examines whether this risk leads to a premium or discount in market returns. The study uses the United States and South Africa as representatives for developed and emerging economies, respectively.

The paper employs two-factor and three-factor conditional CAPM approaches with a two-stage estimation process. In the first stage, time-varying risk exposures are derived using the ICAPM model estimated through rolling regression. In the second stage, the impact of these risk exposures, particularly exchange rate risk exposure, is assessed on stock market returns using Generalized Linear Model (GLM) regression.

Unlike previous studies that suggest exchange rate risk is not necessarily priced in the equity market due to hedging, this paper finds that exchange rate risk is indeed priced in both African and developed equity markets, albeit to different extents. The African equity market demands a higher premium compared to the developed equity market.

The findings of this paper have significant implications for policymakers, asset managers, and investors. They provide insights for making more informed decisions, implementing effective risk management strategies, and fostering a more stable and appealing investment environment.

To the best of our knowledge, this is the first study to evaluate the degree of exchange rate exposure in environments characterized by high currency volatility versus those with low volatility, all within the context of the conditional ICAPM model.

This study systematically reviews the role of decentralized finance (DeFi) in enhancing the quality, affordability, access and usage of financial services, specifically targeting underserved populations. The aim is to investigate DeFi’s potential in addressing financial exclusion and promoting global financial inclusion.

A systematic literature review was conducted, analyzing 67 peer-reviewed articles. The review focused on extracting actionable insights and recommendations regarding DeFi’s impact on financial inclusion.

The study reveals that DeFi, through the utilization of blockchain technology, can significantly improve accessibility, affordability and usability of financial services. By eliminating intermediaries and reducing entry barriers, DeFi platforms democratize finance and support financial inclusion on a global scale. The research identifies specific mechanisms through which DeFi can enhance financial services for marginalized communities, including decentralized lending, digital wallets and blockchain-based remittances.

The study is constrained by the current literature and data availability on DeFi’s impact on financial inclusion. Future research should explore the scalability, sustainability and long-term effects of DeFi solutions in diverse contexts.

This research uniquely contributes to the literature by examining the intersection of DeFi and financial inclusion, providing innovative approaches to overcoming financial exclusion. The study highlights DeFi’s potential to transform financial services and empower underserved populations economically.

The recruitment and promotion of teaching academics in the UK is constrained by a complex array of career progression barriers. These barriers have led to an increasing trend of horizontal career (lack of) progression. The purpose of this paper is to reveal and discuss linearity and horizontality constrictions, challenges and issues impacting on potential careers in tourism academia.

This study uses a leading UK national academic recruitment website to gather data and insights from across 137 posted jobs related to tourism between 2020 and 2022.

The main findings of this work note the constrictions of the UK academic job market and the consequences it poses for academics within tourism and beyond. It is proposed that future research to further understand the realities faced by academics is needed to prompt action for change to create more enriching career development.

The contribution of this study centres around sense making a phenomenon that exists but is not often talked about within academia (whether in tourism or beyond). For academics and managers, this paper presents an opportunity to reflect more holistically on careers with a view to instigating valuable change moving forward (for oneself or others). There is also a dearth of studies relating to career progression of tourism higher education educators.