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This paper contributes to the empirical analysis of PhD holders' transition into the non-academic labor market (i.e. their intersectoral mobility). The research focuses on doctoral graduates specialized in a field of study supposed to have notable non-academic applications, namely Industrial and Information Engineering. We inspect whether these doctoral graduates experience lower satisfaction with PhD knowledge use on the job when they work outside universities and non-public research centers.

We use cross-sectional survey data collected by the Italian National Institute of Statistics in 2014. Ordinary least squares and ordered logit analyses provide baseline results; furthermore, we apply a multinomial endogenous treatment model to control for potential bias arising from self-selection into employment sectors.

We find evidence that for PhD holders Industrial and Information Engineering being employed in the industrial and services sector implies lower satisfaction with the use of doctoral knowledge than that reported by their counterparts working in universities or public research centers.

These results complement and extend previous evidence about PhD holders' career outcomes by focusing on the intersectoral mobility issue and on a specific group of doctoral graduates whose intersectoral mobility potential is expected to be high. Our findings call for policies that might trigger a better alignment between doctoral education and non-academic jobs.

The purpose of this study is to identify what skills gained during PhD study are linked with preparation and differences between industry and academic positions.

Using student-level data from nearly 2,400 early career PhD alumni from 50 US PhD granting institutions, this study uses a generalized ordered logit model with partial proportional odds to test the main and conditional effects of 14 areas of skill development on perceptions of career preparation.

This study contributes empirical evidence to show that research skills and communicating with non-technical audiences are positively linked with job preparation.

The combination of sophisticated research and noncognitive skills promotes the idea of a well-rounded PhD – a highly skilled and versatile researcher that can interact in both academic and industry settings – as a goal of doctoral education. The knowledge gained from this study will assist scholars and graduate educators, including faculty advisors, program directors, graduate deans, graduate education professionals and career development professionals to reconceptualize professional preparation for work in industry.

For-profit businesses, particularly start-up companies, are vital for economic development and many require PhD-level employees across research and management roles. Developing PhDs with the appropriate skills for industry will better align higher education and economic interests.

The wide scope of doctoral institutions allows for a quantitative approach not appropriate for single-institution case studies of doctoral career pathways research.

This study aims to find the role of demographic variables in knowledge sharing among teachers in senior high schools. The relationship between demographic variables and knowledge sharing has not been clearly established in the existing literature.

The survey research design was used as a methodology for the study. The participants of the study were senior high school teachers. These participants were selected using convenience sampling technique. Questionnaire was used as instrument for data collection. Data were anaylsed using descriptive statistics and multiple regression.

The study found that male teachers share more of their knowledge than female teachers. Additionally, first degree holders were found to share their knowledge more than Higher National Diploma holders.

This study has established the relationship between demographic variables and knowledge sharing among senior high school teachers in Ghana.

This study aims to analyze how gender, research experience and geography are related to the researchers’ importance in the co-authorship network on management and accounting in Brazil.

A social network based on the co-authorship relationships in the papers published in leading Brazilian journals was examined using a logit model to estimate the probability of occupying prevailing positions.

The findings showed a network with a high level of fragmentation and a scarcity of authors serving as gatekeepers. Based on the number of directed links and collaboration with influential and well-connected authors, men were more likely to occupy central positions than women. Authors with higher academic degrees tended to establish more links but were more likely to distance from other authors. In terms of geography, authors from more- and less-favored regions may report similar propensity to occupy central positions.

Decision-makers should consider the importance of strengthening collaboration between different research groups and encourage female participation in broader collaborative networks. Research evaluation bodies should strengthen incentives regarding interinstitutional partnerships.

Studies on collaborative networks in management and accounting sciences are less common and generally focus on describing the networks. This paper combines social network analysis and econometric procedures to analyze the relationship between demographic and geographical aspects, and distinct network centrality indexes.

This paper aims to analyze and illustrate achievements and challenges of Ethiopian higher education, both at the system level and at the level of new public universities.

Achievements and challenges at the system level are based on literature review and secondary data. Illustrative case studies are based on university data and interviews with university representatives.

The Ethiopian higher education system has increased its enrollments substantially. The construction of 13 new universities that started enrolling students around 2007 contributed greatly to this achievement. Challenges accompanying this growth lie in funding, quality and quantity of staffing, teaching practices, research and community service, quality assurance and gender balance.

The present study contributes to existing literature by describing case studies illustrating challenges and achievements in new public universities in Ethiopian higher education.

This study aims to identify the features and characteristics of feminist elites as well as their circulation rate in official political positions. The study questions include the role of a profession, educational level, and class of origin in the recruitment of feminist elites. It stems from the hypothesis that a direct correlation exists between the mechanism of recruiting feminist elites and their characteristics, according to the criterion of class differentiation based on social status and financial wealth. The study used a complex combination of scientific methodologies, including the elite approach, which is especially important as a result of its ability to convert arguments into measurable variables, and a comparative approach was used to compare the features and characteristics of feminist elites in two reigns. From the study, it was observed that feminist elites are characterized by caste and wealth, higher educational degree, and in addition obtaining degrees from Western universities, prevailed. This result demonstrates the higher value of Western universities. The study also found that the circulation rate of political feminist elites dramatically increased in the reign of King Abdullah compared with the appointed feminist elites in the reign of King Hussein.

This paper aims to provide a review of literature directions regarding the potential impact of fintech operators on the financial services market globally. This paper reviews the literature to identify possible benefits or challenges that fintech firms can have for the traditional banking system.

This paper is based on a review of published research papers related to fintech and digital finance. The Scopus database, SSRN database and google scholar were used to find relevant research papers. The final sample included impactful papers about the effect of fintech activities on the banking and financial services industry.

The current paper indicated that while fintech firms would take some market share away from banks, it is not expected that fintech firms would substitute banks. However, banks are required to accelerate their adoption of innovations and advanced technology to compete with fintech firms. It is also proposed that strategic partnerships and cooperation could happen between banks and fintech companies in a way that benefits both sides.

The present paper adds to the understanding of the effect of the fintech firms’ growth on the banking industry in light of the emerging opportunities and threats for the financial sector. The paper also provides guidance for fruitful research on the impact of fintech activities on social and economic welfare in the future.

Since 2012, with the Growth Decree 2.0, the Italian Government has been engaged in promoting the establishment and the growth of new innovative startups with a high technological value. The general objective of the policy is to promote sustainable growth, technological advancement and innovation. In the Decree framework, startups have to own an innovative character that is identified by at least one of the following three criteria: investments in research and development, qualified workforce, holding patents or registered software. Such three characteristics can be considered as innovation inputs able to create the conditions for a competitive advantage and greater economic performance. The research objective is to analyze how innovation inputs in innovative startups affect their economic performance. Each input factor can have a different impact on the company profitability. To this end, we apply the methodology SMAA for strategic management analysis and assessment (or SMAA-S) to detect the relation between innovation and profitability in Italian startups.

The study aims to investigate whether and how digital transformation, in terms of digital collaboration, joint efforts with internal/external partners to achieve common goals and the adoption of digital tools supporting this practice, affect social innovation capital in the context of small innovative enterprises (SIEs).

The research hypotheses derived from the analysis of the literature, evaluating how sharing resources, sharing intensity and digital patterns affect the collective capacity of SIEs to innovate, were investigated by applying multiple regression analysis. Data were retrieved from a sample of Italian SIEs through an online survey.

The main findings suggest that the propensity to spread resources and the sharing intensity positively affect the collective capacity of SIEs to innovate. Also, the effect of resources sharing on collective innovation increases as more digital patterns are used as tools. The connection is weaker for the intensity of resources sharing.

The study is conducted on Italian SIEs, a particular cluster of small and medium enterprises (SMEs). It would be interesting to compare and contrast the results of an analysis of a large sample of international companies, of different sizes and belonging to digital and non-digital sectors.

The results enrich the existing literature on social innovation capital, by clarifying its competitive benefits on the characteristic context of the SIEs and underlining the mediating role of the digital patterns.