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This paper demonstrates an application of the Arbitrage Pricing Theory using canonical analysis as an alternative to the conventional factor analysis. Following the traditional view that asset prices are influenced by unanticipated economic events, the systematic effects of the major composite economic indices on a wide spectrum of industry returns are explored. The main conclusion is that profitability may be considered as the single most important factor that influences security returns. Also, the composite lagging economic indicators appear to be more useful to investors in forming market expectations than the composite leading economic indicators. Finally, it is argued that the composite index of coincident economic indicators do not exhibit any significant influence in the pricing of capital assets.

Refers to previous research on the yields of default‐free securities and uses the Nelson‐Siegel model for estimating yield curve as a basis for developing a model which decomposes the risk premium into long‐term risk, two factors influencing the rate of decay (curvature) and a feed back factor. Applies this to 1984‐1993 data for treasury bills to test for predictive validity and shows that the feedback factor (prediction error of the most recent period) improves this by around 10 per cent. Goes on to apply a multivariate exponential GARCH process to the components to produce a prediction model for the term structure of interest rates. Promises further research to refine this estimation and compare it with the expectations hypothesis as a basis for strategy.

This study explores the nature of the spot foreign exchange risk premium. Employing Ross's Arbitrage Pricing Theory (APT) as a vehicle, it tests the hypothesis that cross‐sectional differences in pure currency returns depend on measures of systematic (covariance) risk. These tests have greater power, in the sense of an enhanced ability to reject the hypothesis, since they explicitly allow for the possibility that idiosyncratic risk is priced. A battery of tests is unable to reject the hypothesis that expected exchange returns can be explained by a single‐factor APT. One implication of these results is that official intervention in exchange markets is unnecessary and undesirable.

The purpose of this paper is to propose the use of a virtual reality (VR)-based approach to improve teacher education and life-long professional development. Through constant training in real-life based situations but within a safe three-dimensional virtual school environment, teachers are given the opportunity to experience and learn how to react to different types of incidents that may take place in a school environment.

The current paper presents the design cycle that was followed for the implementation of the VR teacher training system. The effectiveness of the proposed approach is demonstrated with a case study that aimed to promote teachers’ understanding of student’s problematic situations related to substance use. As part of the experimental investigation, the impact of the VR system on participants’ emotions and mood states is evaluated through Electroencephalogram (EEG) measurements, heart rate (HR) recordings and self-reported data.

Results indicate significant changes to participant’s negative emotional and mood states, suggesting that the scenario and the VR experience had a strong impact on them. Moreover, participants’ HR was increased during the experiment, while the analysis of the EEG signal indicated that the participants experienced a stressful situation that could justify the change in their negative emotions and mood states.

The proposed VR-based approach aims to provide an innovative framework to teacher education and the related training methodology. In the long-term, the proposed VR system aims to form a new paradigm of teacher training, an alternative safe method that will allow user-teachers to learn through trial and error techniques that reflect real-life situations within a three-dimensional school space and without the risk of harming real students. To the best of our knowledge this is one of the first systematic attempts to use a VR-based methodology to address real teachers’ needs. The development of the VR application is linked to both strong theoretical foundations in education derived from the literature but also from real teachers’ problems and requirements derived from an extensive literature analysis, survey and interviews with experts including teachers, school counselors and psychologists. The VR tool addresses specific teachers’ competences as outcome, after an extensive documentation of existing Teachers’ Competence Models and significant guidance by experts who pointed specific competencies of primary importance to teachers.

The purpose of this paper is to compare the sustainability disclosure methods‐instruments practiced by the two most widely employed indexes/instruments (DJSI World and GRI‐G3 Guidelines). The paper suggests that the newly created triple bottom line (TBL) reporting practices need to undergo further standardization and enforcement to avoid, or give early warnings about, future corporate mismanagement that leads to socio‐economic consequences detrimental to investors and consumers in general.

This paper utilizes sample firms from the DJSI World Index and the GRI‐G3 Sustainability Guidelines membership list to draw inferences on sustainability indicators of performance. The authors compare the GRI reporting guidelines with the disclosure indicators of the DJSI World.

The authors' findings suggest that TBL reporting has made enormous progress over the last two decades. However, the two widely used sustainability reporting instruments/indexes (DJSI World and GRI‐G3 Guidelines) differ in disclosure practice‐methods and the authors recommend that further standardization and enforcement is necessary. The authors' view is that the Securities and Exchange Commission (SEC) and Financial Accounting Standards Board (FASB) should become actively involved with the issue of standardization and enforcement of corporate socio‐environmental disclosures. The paper presents evidence that investors have neither rewarded nor penalized firms for adhering to or violating sustainability matters in their corporate decisions.

The authors argue for further standardization and enforcement with regard to the disclosure methods of the two widely used (GRI and DJSI) sustainability indicators in order to avoid future corporate mismanagement that leads to (systemic) economic and socio‐environmental consequences detrimental to citizen investors and consumers in general.

The research is of interest to academicians and practitioners who are interested in the theory and practice of sustainability reporting or TBL reporting. The findings suggest that this newly created disclosure instrument needs to undergo further standardization and enforcement for meaningful and accurate disclosure of economic‐social and environmental performance. The authors' view is that the SEC and FASB should become actively involved with the issue of standardization and enforcement of socio‐environmental disclosure of corporate sustainability.

The significance of smart mobility practices in shaping cities from a smart perspective has grown in recent years, influencing policies and the choices made by inhabitants. This transformation has led to the emergence of novel services and strategies, creating a new, vibrant and highly personalised urban environment that caters to the needs and preferences of both local residents and visitors. The purpose of this study is to evaluate the influence of smart mobility practices on tourism flows in cities, considering the moderating effect of airport activities on this relationship.

Using a generalised method of moments estimation and focusing on 20 Italian cities over an eight-year period, the authors highlight the current relationship between smart mobility practices and tourism flows. Moreover, the authors demonstrate that the yearly advancement of airports positively moderates this relationship.

The findings indicate a significant relationship between smart mobility practices in modern cities and tourism inflows because they influence the development of tourism services and emerging trends such as smart tourism and smart destinations. Furthermore, airport activities as a proxy for city openness play a crucial role in this link. The study shows that airports have an incremental impact on tourism and on the relationship between tourism and sustainable practices.

The limitations of this quantitative approach include the focus on a single country, the challenge of measuring the development of smart mobility practices due to a lack of standardised variables and the need for future research to expand the sample to different countries in relation to tourism inflows.

This study has practical implications for policymakers and governance in their task of effectively coordinating internal smart mobility practices and managing incoming tourism flows.

This study has social implications, highlighting the need for policymakers and governance to address the societal impacts of smart mobility practices and tourism inflows, ensuring inclusive and sustainable outcomes for local communities.

This study contributes to the existing literature as one of the first attempts to examine the interplay between smart mobility practices in smart cities and tourism flows. Furthermore, it emphasises the role of airports in this relationship, highlighting how the interaction between these variables benefits both stakeholders.

This study uses a two‐step GARCH‐M procedure to observe mean‐return and volatility transmissions between Latin American markets and to Latin America from external markets during the period 1993–2000. The results indicate that mean‐return transmissions are common both within region and from external markets. The volatility transmission results are consistent with contagion theory and indicate that traders use both domestic news events as well as information contained by volatility in other markets in their information set.

Starting with a comparative assessment of different welfare regimes and political economies from the perspective of gender awareness and “pro-women” policies, this chapter identifies the determinants of cross-national variation in women's chances of being in a high-status occupation in 12 West European countries. Special emphasis is given to size and structure of the service sector, including share of women in public employment and structural factors such as trade union density and employment protection. The first level of comparison between men and women concentrates on gender representation in the higher echelons of the job hierarchy, while the second section extends the scope of analysis, comparing women in high-status occupations and low-wage employment in order to allow for a more nuanced study of gender and class interaction. The first analysis is based on European Social Survey data for the years 2002, 2004, 2006, and 2008, capturing recent trends in occupational dynamics. Results indicate that in general a large service sector and a high trade union density enhance women's chances of being in high-status occupations, while more specifically a large public sector helps to reduce channeling women into low-wage employment. Thus, equality at the top can well be paired with inequality at the bottom, as postindustrial countries with a highly polarized occupational hierarchy such as the UK show.

This study investigates the association between family firm status and the maturity level of management control systems (MCSs) by considering the moderating effect of process digitalization.

The authors conducted an empirical analysis on a sample of 106 Italian firms, utilizing both ordinary least squares and ordered logistic regression in this study.

By resorting to the MCS maturity model proposed by Marx et al. (2012), the empirical findings reveal that family firms do not differ from their nonfamily counterparts regarding MCS maturity. Furthermore, the degree of process digitalization is positively associated with the probability of adopting IT-related technologies in MCSs. Digitalization negatively moderates the relationship between family firm status and MCS maturity, resulting in family firms exhibiting a lower MCS maturity level than their nonfamily counterparts.

Despite similar efforts in the digitalization process, family firms lag behind in the adoption of IT-enabled MCSs, which suggests that reduced agency issues in family firms constrain the MCS maturity level.

This study can assist practitioners in implementing a more mature MCS by considering the interplay between internal digitalization processes and family status of the firm, thereby enhancing the decision-making process.

This study adds novelty to an underexplored area at the intersection of MCSs, family firms and digitalization.

Crowdfunding (CF) has become an increasingly popular means of financing for entrepreneurs and has attracted significant attention from both researchers and practitioners in recent years. The purpose of this study is to investigate the core content and knowledge diffusion paths in the CF field. Specifically, we aim to identify the main topics and themes that have emerged in this field and to trace the evolution of CF knowledge over time.

This study employs co-word clustering and main path analysis (MPA) to examine the historical development of CF research based on 1,528 journal articles retrieved from the Web of Science Core Collection database.

The results of the analysis reveal that CF research focuses on seven themes: sustainability, entrepreneurial finance, entrepreneurship, fintech, social entrepreneurship, social capital, and microcredits. The analysis of the four main paths reveals that equity CF has been the dominant topic in the past years. Recently, CF research has tended to focus on topics such as fintech, the COVID-19 pandemic, competition, Brexit, and policy response.

To the authors' best knowledge, this is the first attempt to explore knowledge diffusion dynamics in the CF field. Overall, the study offers a structure for analyzing the paths through which knowledge is diffused, enabling scholars to effectively manage a large volume of research papers and gain a deeper understanding of the historical, current, and future trends in the development of CF.