Gender discrimination in education,health, and labour market: a voice for equality

The objective of the study is to examine the impact of gender discrimination in education, health, and labour market on economic growth in a panel of 20 high-income OECD countries for the period of 1980–2015. In addition, the study proposed an index of pro-equality growth, which is flared with education, health, and labour market initiatives to promote economic growth. The results show that gender parity index for educational attainment significantly promotes economic growth while health and labour market required substantial policy reforms to reduce health and labour market inequalities to sustain long-term economic growth. The results classified three countries as highly equitable growth, one country for equitable growth, two countries are moderate growth, four countries are less equitable growth while remaining 10 countries fall in the category of inequitable growth, where greater inequality promotes economic growth on the cost of education, health, and labour market inequalities.     

Family businesses and non-family equity: literature review and avenues for future research

Family firms commonly prefer internal funding and retention of control. Under certain circumstances, however, equity investments from outside the family can be a relevant alternative source of capital. To facilitate further knowledge about the interaction of family-owned businesses and external equity investors, the present work reviews 42 studies and suggests possible directions for future research. Results reveal that extant studies focus mainly on five key areas—corporate finance, contract design and collaboration, succession and exit route, strategy and performance, and corporate governance. Moreover, the paper discusses various gaps in the extant work and presents three opportunities for future research in a detailed manner. These include a comparison of different types of investors in the context of family-owned businesses, an investigation of minority investor exits from family firms, and an analysis of the impact of investors on family firm boards. All in all, the findings can guide the future development of this emerging field of research and have implications for theory and practice.     

Antecedents and effects of emotions in strategic decision-making: a literature review and conceptual model

Individual emotions are essential driving forces in strategic decision-making. Nevertheless, the current state of research on emotions and their effects on strategic decision-making is fragmented and inconsistent. Therefore, this paper presents a narrative literature review that aims to bring some structure into current research and to advance an agenda for a future research on emotions in the strategic decision-making context. Based on cognitive appraisal theory and affective events theory this review focuses on organizational and individual antecedents for the development of emotions in the strategic decision-making context as well as on the effects of emotions on the strategic decision-making process. The paper concludes with a conceptual framework that summarizes the findings of this review and indicates possible directions for future research.     

May business mentors act as opportunity brokers and enablers among university students?

Networks are recognized as a central component of the entrepreneurial process, in particular with regard to opportunity identification and exploitation. In this study, we specifically analyze the role of mentors who are in business as opportunity brokers and enablers among university students with entrepreneurial intentions. Our investigation on 1022 students from 13 French-language universities based in Canada, France, Belgium and Algeria indicates that mentors in business, contrary to other mentors, support opportunity identification and exploitation among university students. Although student gender, entrepreneurial experience and education have a more pronounced effect, mentoring is the only element that can be controlled for through the creation of formal support programs. These results call on public authorities, and universities in particular, to implement formal mentoring programs to support students who are interested in starting their own business, and who would not otherwise have access to business mentors in their environment.     

Innovation and entrepreneurship in the academic setting: a systematic literature review

In the knowledge society, universities have assumed new missions and relations in order to contribute to economic and social development, while preserving their own sustainability. This article aims to explore scientific literature on innovation and entrepreneurship in the academic setting, describing how the field is organized, main terms and definitions, theoretical frameworks, and empirical models, in order to direct future research. A systematic literature review was conducted, in which articles indexed at Web of Science were initially submitted to a bibliometric analysis. Then, the content of a set of articles best fitting the objectives of the study was analyzed. Bibliometric analysis shows an increasing literature, with publications over more than 40 years. There are studies from many disciplines, with those in business and economics prevailing, mainly related to management and originating from the USA and Europe. Content analysis shows a fragmented literature, with definitions not showing a clear relationship between innovation and entrepreneurship, or their use within universities in coherence with their traditional definitions. Both theoretical frameworks and empirical models are very heterogeneous, but four groups of studies were identified based on their theoretical frameworks, and also based on their empirical models. With only a few exceptions, empirical models do not share many components and variables, and there are no clear boundaries between the different models. Despite the increasing literature, it is still fragmented and undertheorized, requiring more systematic and holistic studies, considering both the economic and the social aspects of innovation and entrepreneurship within universities.     

Asymmetric information as a barrier to knowledge spillovers in expert markets

This paper investigates barriers to effective knowledge spillovers for markets in which the product can be characterized as a credence good, i.e. its complexity impedes the evaluation of quality by customers both ex-ante and ex-post. We focus on the German market for energy efficiency consultants, as an emerging and subsidized sector in which the service offered has strong credence good properties. Based upon in-depth interviews with stakeholders, we analyze the determinants and barriers to knowledge spillovers. We find that the incentive to foster spillovers to increase suppliers’ knowledge is limited by the difficult commercialization of additional capabilities. The implementation of a public certification scheme has failed to increase the sectoral knowledge spillovers. By contrast, the participation in formal knowledge networks has been more effective in prompting companies to foster knowledge spillovers, which has also led to a higher degree of specialization. We conclude that access to certification schemes should be further restricted to increase market transparency and private networks should be supported to achieve the aim of increasing knowledge spillovers.     

Social capital and entrepreneurial process

The paper examines the relationship between social capital and entrepreneurial engagement of individuals in 35 nations from Europe and Asia. To the best of our knowledge, this is the first empirical research that attempts to investigate the influence of three-dimensional social capital concept – trust, networks and norms – on three stages of entrepreneurial process – preference, trial and success – using such large and comprehensive cross-sectional micro data. In general, we find that all three dimensions of social capital matter in the entrepreneurship context, albeit differently. They become beneficial in different ways and at different stages of entrepreneurial involvement. For example, among trust variables, institutional trust in general, and trust in business-oriented and business-supporting actors in particular, exert significant positive effect on entrepreneurial process. Individuals with formal membership in professional associations are more likely to perceive entrepreneurial opportunities, while some close or strong-tie networks might prevent them from progressing in the entrepreneurship ladder. Finally, individual level civic norms appear to be negatively associated with early-stage entrepreneurship, while the success in becoming an entrepreneur is not found to be bound by people’s civic norms.     

Effects of limit order book information level on market stability metrics

Using an agent-based model of the limit order book, we explore how the levels of information available to participants, exchanges, and regulators can be used to improve our understanding of the stability and resiliency of a market. Ultimately, we want to know if electronic market data contains previously undetected information that could allow us to better assess market stability. Using data produced in the controlled environment of an agent-based model’s limit order book, we examine various resiliency indicators to determine their predictive capabilities. Most of the types of data created have traditionally been available either publicly or on a restricted basis to regulators and exchanges, but other types have never been collected. We confirmed our findings using actual order flow data with user identifications included from the CME (Chicago Mercantile Exchange) and New York Mercantile Exchange. Our findings strongly suggest that high-fidelity microstructure data in combination with price data can be used to define stability indicators capable of reliably signaling a high likelihood for an imminent flash crash event about one minute before it occurs.     

Yield curve responses to market sentiments and monetary policy

Central banks recently started to target longer term interest rates. The empirical failure of the rational expectations theory of the yield curve, however, limits its applicability to monetary policy analysis. The success of agent-based behavioral asset pricing models and behavioral macroeconomic models in replicating statistical regularities of empirical data series motivates to apply them to yield curve modeling. This paper analyses how the interaction of monetary policy and market sentiments shape the yield curve in a behavioral model with heterogeneous and bounded-rational agents. One result is that the behavioral model replicates empirical facts of term structure data. Moreover, it overcomes one major deficiency of rational expectations models of the yield curve in explaining the empirically observed uncertain responses of longer term yields to changes in the central bank rate. These are explained by the behavioral model’s ability to generate different responses of market sentiments to shocks at different times which lead to a variety of interest rate responses. Further results of this paper can be used as policy advice on how central banks can target the level, slope and curvature of the yield curve by targeting market sentiments about inflation and the business cycle.