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The purpose of this paper is to focus on the investigation of gender inequalities in the labour market at the regional level in Greece throughout the years preceding and following the economic crisis.

Utilising microdata from the European Union Statistics on Income and Living Conditions (EU-SILC) database from 2005 up to the most recent available, the authors construct the Total Earnings Gap Index, a composite index at the individual level which incorporates gender differentials in aspects related to employment, work intensity and earnings. This approach is further complemented by the results of the econometric analysis (a probit model for the probability of being in employment and a Heckman selection model for the determinants of hourly pay and hours worked), which portray the impact of gender on a set of labour-related characteristics.

The findings of the analysis indicate a widespread reduction of the gender gap; however, this appears to be mainly the result of a sharper fall in employment among men, hence pointing towards a “race to the bottom” process which presents few – if any – signs of an increase of women’s economic independence. The emerging picture points towards a trend of regional convergence in gender gaps, while also highlighting that similar gender equality outcomes are, in certain cases, shaped by radically different dynamics.

This paper uses an innovative composite index which provides a multi-dimensional depiction of gender inequality in the Greek labour market. This index has been introduced by Eurostat and has been applied at the country level, with this paper being the first – to the authors’ knowledge – to apply it at the regional level. Additionally, by examining years before and throughout the crisis, the present analysis adopts a dynamic perspective, offering valuable insight into the seismic shifts that Greece’s labour market structure has undergone during this period.

The purpose of this paper is to examine the possibility of using non‐income indicators and the self‐organizing map (SOM) approach as an alternative analytical tool to map countries' welfare status.

Using data from 27 countries of the East Asia‐Pacific region, a welfare analysis based on non‐income indicators is implemented. The set of the selected indicators employed includes measures of social indicators as well as indicators related to the overall development framework. The empirical approach of the present paper can be described as a two‐stage procedure. In the first stage, the standard incremental SOM algorithm has been used and the two‐dimensional map produced in a hexagonal grid is presented together with the weight maps. In the second stage, the k‐means methodology has been used to cluster the prototypes produced by the SOM.

The classification produced by the two‐stage approach of the empirical analysis is compared with the baseline World Bank's income categories (based on Gross National Income per capita) offering an opportunity to assess the usefulness of non‐parametric approaches that are based on non‐income indicators vis‐à‐vis World Bank's approach in analysing welfare outcomes. The emerging picture of the empirical analysis supports the potential of the SOM as a useful and prolific analytical tool in mapping welfare outcomes.

This study proposes a methodology beyond the conventional ordinal rankings of the welfare of the countries based on non‐income indicators and the SOM.

Recent empirical studies by Antonakakis, Chatziantoniou and Filis (2013), Brogaard and Detzel (2015) and Christou et al. (2017) present evidence, which supports the notion that a rise in economic policy uncertainty (EPU) will lead to a decline in stock prices. The purpose of this paper is to examine US categorical policy uncertainty on stock returns while controlling for implied volatility and downside risk. In addition to the domestic impacts of policy uncertainty, this paper also presents evidence that changes in US policy uncertainty promptly propagates to the global stock markets.

This study uses a GED-GARCH (1, 1) model to estimate changes of uncertainties in US monetary, fiscal and trade policies on stock returns for the sample period of January 1990–December 2018. Robustness test is conducted by using different set of data and modeling techniques.

This paper contributes to the literature in several aspects. First, testing of US aggregate data while controlling for downside risk and implied volatility, consistently, shows that responses of stock prices to US policy uncertainty changes, not only display a negative effect in the current period but also have at least a one-month time-lag. The evidence supports the uncertainty premium hypothesis. Second, extending the test to global data reveals that US policy uncertainty changes have a negative impact on markets in Europe, China and Japan. Third, testing the data in sectoral stock markets mainly displays statistically significant results with a negative sign. Fourth, the evidence consistently shows that changes in policy uncertainty present an inverse relation to the stock returns, regardless of whether uncertainty is moving upward or downward.

The current research is limited to the markets in the USA, eurozone, China and Japan. This study can be extended to additional countries, such as emerging markets.

This paper provides a model that uses categorical policy uncertainty approach to explain stock price changes. The parametric estimates provide insightful information in advising investors for making portfolio decision.

The estimated coefficients of changes in monetary policy uncertainty, fiscal policy uncertainty and trade policy uncertainty are informative in assisting policymakers to formulate effective financial policies.

This study extends the existing risk premium model in several directions. First, it separates the financial risk factors from the EPU innovations; second, instead of using EPU, this study investigates the effects from monetary policy, fiscal policy and trade policy uncertainties; third, in additional to an examination of the effects of US categorical policy uncertainties on its own markets, this study also investigates the spillover effects to global major markets; fourth, besides the aggregate stock markets, this study estimates the effects of US policy uncertainty innovations on the sectoral stock returns.

A major challenge the car industry currently faces worldwide is how to implement an effective reverse (also called closed loop) supply chain design while manufacturing environmental friendly cars from limited available resources. The purpose of this paper is to examine relationships between reduce, reuse and disposal in the Japanese car market with base scenario analysis using the car consumption data and forecast.

The system dynamics (SD) modeling analyzes the closed loop supply chain design for the Japanese car industry. Relationships between reduce, reuse, recycle and disposal are explored with base scenario analysis using the car consumption data and forecast. The SD model is subjected to extreme conditions test for structural validity. Dynamic analysis of different market scenarios for the Japanese car industry's reverse supply chain is conducted.

Japanese ELV regulation will trigger the growth of used car export rate to emerging countries. Without additional tax on used car export, manufacturers in Japan tend to export used cars. Imposing tax on used car export will place some control on such export and improve economic opportunities for remanufacturers, recyclers, government, manufacturers and consumers in Japan.

The used car export option in Japanese reverse supply chain may cause the emerging countries (importing used cars) not able to sustain this activity. The Japanese government and manufacturers should take initiative to create or support the reverse logistics facilities in export countries. Issues pertaining to how product components can be recycled, reused, or remanufactured should be factored in the product design phase to reduce the cost of products and raw materials.

The dynamic model of the Japanese car market provides an experimental simulation tool, which can be used to forecast the relationship between reduce, reuse, recycle, disposal and how various logistics elements will be impacted by government regulations on a long‐term basis.

This paper addresses the significance of training students in entrepreneurship to enable sustained national and international competitiveness in the knowledge-based global marketplace. Entrepreneurial education is varied, ranging from basic to in-depth courses, including customer-focused programs, such as the National Science Foundation (NSF) sponsored Innovation Corps (I-Corps) program. This program is nationally-renowned with strong academic roots. A full site was launched at the University of Central Florida (UCF) in January 2015 and was the first I-Corps program in the state of Florida.

This paper addresses the importance of entrepreneurship education, reviews the available national training programs in entrepreneurship, presents the design methodology of the NSF I-Corps program, and analyzes the results of the teams who have participated in the NSF I-Corps program.

The results are categorized into innovative areas and show the percentage of teams who participated in the I-Corps program in each area. It also identifies the percentage of teams who engaged in actual startup activities following I-Corps participation.

Educators, students, and trainers can use the findings to benchmark the outcomes of training programs in entrepreneurship. Students and innovators interested in participating in I-Corps can use this paper to obtain insights and a broader understanding of what was done in terms of results and implications.

This paper contributes a unique analysis of the I-Corps program approach and its outcomes since its launch in 2015 and can be used as a reference for any training program in entrepreneurship.

The problems of transient natural convection from a corrugated plate embedded in an enclosed porous medium is studied numerically. The non‐Darcian effects as well as the acceleration terms are taken into consideration in the momentum equation. The governing equations in terms of vorticity, stream function and temperature are expressed in a body‐fitted coordinates system, which were solved numerically by the finite difference method. Results are presented in terms of streamlines and isotherms, local and average Nusselt numbers, with Darcy‐Rayleigh number ranging from 0 to 1000, and Darcy number from 10^–4 to 10^–1, for several aspect ratios of the cavity and plate positions. The flow and heat transfer characteristics for a corrugated plate and a flat plate and the numerical results solved with four different mathematical models are also compared.

Life studies are a rich source for further research on the role of the Afro‐American woman in society. They are especially useful to gain a better understanding of the Afro‐American experience and to show the joys, sorrows, needs, and ideals of the Afro‐American woman as she struggles from day to day.

This study aims to focus on building a conceptual closed-loop vaccine supply chain (CLVSC) to decrease vaccine wastage and counterfeit/fake vaccines.

Through a focused literature review, the framework for the CLVSC is described, and the system dynamics (SD) research methodology is used to build a causal loop diagram (CLD) of the proposed model.

In the battle against COVID-19, waste management systems have become overwhelmed, which has created negative environmental and extremely hazardous societal impacts. A key contributing factor is unused vaccine doses, shown as a source for counterfeit/fake vaccines. The findings identify a CLVSC design and transshipment operations to decrease vaccine wastage and the potential for vaccine theft.

This study contributes to establishing a pandemic-specific VSC structure. The proposed model informs the current COVID-19 pandemic as well as potential future pandemics.

A large part of the negative impact of counterfeit/fake vaccines is on human well-being, and this can be avoided with proper CLVSC.

This study develops a novel overarching SD CLD by integrating the epidemic model of disease transmission, VSC and closed-loop structure. This study enhances the policymakers’ understanding of the importance of vaccine waste collection, proper handling and threats to the public, which are born through illicit activities that rely on stolen vaccine doses.

The purpose of this paper is to present an in-depth analysis of the current state of research related to Education for Entrepreneurship in Higher Education. Education for entrepreneurship is one of the fastest growing fields within academic training worldwide, which is a good indicator of the importance that entrepreneurship and the creation of companies have for the economic development of any society. Education for entrepreneurship is essential, not only to promote an entrepreneurial spirit among young people but also to provide the basic skills, knowledge and innovative attitudes to carry out new business models successfully.

A descriptive bibliometric study was carried out with analysis of citations of 164 articles included in the multidisciplinary database Scopus (Elsevier) until 2017.

The results obtained show a growing interest of the scientific community in its study, as shown by the significant increase both in the number of articles and their citations in recent years.

In any bibliometric study, the limitation involved when analysing the results, the choice of a specific database and a specific search equation must be taken into account. With respect to the search terms, those used in this research may not be possible, the inclusion of new terms will alter the results. On the other hand, the aim was not to evaluate the quality of the content of the selected articles at any time, an objective that can be considered in a subsequent investigation, but a descriptive-quantitative analysis of the works and citations related to Education for Entrepreneurship in Higher Education, present in Scopus. To expand the present study, it would be interesting to examine the documents indexed in other databases (Redalyc, Scielo, ProQuest, Directory of Open Access Journals[DOAJ]), together with the possibility of including comparative and overlapping studies between them.

The purpose of this work is to serve as a reference for researchers who are developing their studies in the general field of education for entrepreneurship and more specifically in the field of higher education, to improve their knowledge on the most relevant articles, the most productive authors or the key scientific journals that address this topic.

Online advertisement brings huge revenue to many websites. There are many types of online advertisement; this paper aims to focus on the online banner ads which are usually placed in a particular news website. The investigated news website adopts a pay-per-ad payment model, where the advertisers are charged when they rent a banner from the website during a particular period. In this payment model, the website needs to ensure that the ad pushed frequency of each ad on the banner is similar. Under such advertisement push rules, an ad-recommendation mechanism considering ad push fairness is required.

The authors proposed a novel ad recommendation method that considers both ad-push fairness and personal interests. The authors take every ad’s exposure time into consideration and investigate users’ three different usage experiences in the website to identify the main factors affecting the interests of users. Online ad recommendation is conducted on the investigated news website.

The results of the experiments show that the proposed approach performs better than the traditional approach. This method can not only enhance the average click rate of all ads in the website but also ensure reasonable fairness of exposure frequency of each ad. The online experiment results demonstrate the effectiveness of this approach.

Existing researches had not considered both the advertisement recommendation and ad-push fairness together. With the proposed novel ad recommendation model, the authors can improve the ad click-through rate of ads with reasonable push fairness. The website provider can thereby increase the commercial value of advertising and user satisfaction.