Entrepreneurship and knowledge spillovers from the public sector

A compelling body of research has found that investments in knowledge from other firms and universities spill over to enhance the performance of entrepreneurial firms. This literature has shown that firm performance is positively related to investments in new knowledge by other firms and research universities. This paper addresses a gap in the literature by positing that public sector knowledge is also conducive to enhancing performance by knowledge intensive entrepreneurial (KIE) firms. Our findings suggest that the public sector provides a fertile source of knowledge for enhancing KIE firm performance.

     

The multiple filter test for change point detection in time series

A framework for the detection of change points in the expectation in sequences of random variables is presented. Specifically, we investigate time series with general distributional assumptions that may show an unknown number of change points in the expectation occurring on multiple time scales and that may also contain change points in other parameters. To that end we propose a multiple filter test (MFT) that tests the null hypothesis of constant expectation and, in case of rejection of the null hypothesis, an algorithm that estimates the change points.The MFT has three important benefits. First, it allows for general distributional assumptions in the underlying model, assuming piecewise sequences of i.i.d. random variables, where also relaxations with regard to identical distribution or independence are possible. Second, it uses a MOSUM type statistic and an asymptotic setting in which the MOSUM process converges weakly to a functional of a Brownian motion which is then used to simulate the rejection threshold of the statistical test. This approach enables a simultaneous application of multiple MOSUM processes which improves the detection of change points that occur on different time scales. Third, we also show that the method is practically robust against changes in other distributional parameters such as the variance or higher order moments which might occur with or even without a change in expectation. A function implementing the described test and change point estimation is available in the R package MFT.     

Do Female Managers Affect Productivity? Evidence from Zimbabwean Manufacturing Firms

Using a large dataset of Zimbabwean manufacturing firms extracted from the two waves of World Bank Enterprise Surveys of 2011 and 2016, the study investigates the impact of female management on firm's productivity in Zimbabwe's manufacturing firms. The study estimates a modified production function, to incorporate gender dimension, using a random effects estimation model. The results show that the effect of having a female manager on firm productivity varies by geographical location in the case of Zimbabwe. Specifically, the productivity of firms which have a female top manager, and are located in Harare, experience a negative productivity differential as they significantly reduce their productivity gap by 9.9 percent. On the other hand, the study found that having a female top manager in manufacturing firms located in Bulawayo significantly increases productivity by 7.9 percent compared to firms located in the Midlands area. We also find that the effect of a female manager on firm productivity differs by sectors, stressing the need for domestic economic policy to consider these dynamics. Given the importance of location in determining the contribution of a production manager on firm performance, the government may need to implement policies that consider location‐specific factors to enhance productivity of the manufacturing sector of Zimbabwe.     

Do ongoing networks block out new friends? Reconciling the embeddedness constraint dilemma on new alliance partner addition

Research Summary: This study addresses a theoretical dilemma regarding how alliance network constraint (reflected by network cohesion) affects a firm’s alliance formation with new partners. Using a network pluralism approach, we separate a firm’s ego alliance network into two activity‐based networks—an exploratory network and an exploitative network—based on the primary value chain activity involved in each alliance. We argue that the cohesion of exploratory or exploitative networks has an inverted U‐shaped effect on the addition of new partners in the same activity‐based network, and a positive effect on the addition of new partners in the other network. Results based on data from the biotechnology industry largely support our predictions with one exception. Our study contributes to both scholarly understanding of network embeddedness and alliance practice. Managerial Summary: The structure of firms’ ongoing alliance networks may have paradoxical implications for their efforts to search for and form alliance with new partners. That is, when a firm’s alliance partners are tightly connected with each other, the cohesive network tends to both encourage and impede the focal firm to add new partners. We resolve this dilemma by showing that when a firm is deeply entrenched in a cohesive alliance network conducting a certain type of activities (e.g., R&D activities), it may not easily add new R&D alliance partners. However, it may still be able to escape from the cohesive R&D alliance network by seeking new partners conducting other activities (e.g., manufacturing activities).     

Mandatory IFRS adoption and management forecasts: The impact of enforcement changes

We examine how concurrent enforcement changes affect the positive relationship between mandatory IFRS adoption and firms’ voluntary disclosure. We show that the increase in the issuance of management forecasts after IFRS adoption is smaller for firms from IFRS-mandating countries with concurrent enforcement changes than for those from countries without such changes. We find no difference in the increase of forecast informativeness between firms from IFRS-mandating countries without concurrent enforcement changes and firms from non-IFRS-mandating countries; however, firms domiciled in IFRS-mandating countries with concurrent enforcement changes exhibit a significantly smaller increase in forecast informativeness. Our findings suggest that better IFRS enforcement distinctly weakens (strengthens) the positive effect of IFRS adoption on voluntary (mandatory) disclosure.     

Under the AEGIS of knowledge-intensive entrepreneurship: employment growth and gender of founders among European firms

An increasing number of theoretical and empirical analyses address the role of innovation as one of the main sources of firm growth. More recently, studies have looked at the role of gender diversity as a possible determinant of innovation and entrepreneurial performance. However, the relationship between gender and employment growth—a dimension of entrepreneurial performance—still remains unexplored to a large degree. This paper contributes to the empirical literature on gender and entrepreneurial performance in several ways. First, it examines the role played by both innovation and gender ownership as determinants of employment growth rates of young, knowledge-intensive entrepreneurial (KIE) firms. Second, it investigates the indirect impact of contributing factors—such as the characteristics of the market, knowledge-based capital, and human capital—on employment growth. And third, it relies on a rich new cross-sectional data set on young, KIE firms across European Union (EU) countries. The data set contains information not only on the gender of the firm’s founders but also on the market environment, business strategy, and innovative and economic performance of firms.     

Going green,going clean: Lean‐green sustainability strategy and firm growth

Despite the widespread recognition of the paybacks of “going green” and “going clean,” limited research has focused on the impact of lean‐green strategy on firm growth. In this study, we contribute to strategy and environmental sustainability literatures by investigating the possibility that the influence on lean‐green strategy and firm growth is driven by different levels of industry competition, managerial power, and family ties. Using panel data from 732 firms in four major industrialized economies (the United States, Germany, France, and the United Kingdom), we found that lean‐green strategy positively relates to firm growth and this relationship is amplified at higher levels of competition, managerial power, and family ties. Theoretical and practical implications of the study are also discussed.     

Candidate gene studies and the quest for the entrepreneurial gene

Candidate gene studies of human behavior are gaining interest in economics and entrepreneurship research. Performing and interpreting these studies is not straightforward because the selection of candidates influences the interpretation of the results. As an example, Nicolaou et al. (Small Bus Econ 36:151?C155, 2011) report a significant association between a common genetic variant in the DRD3 gene and the tendency to be an entrepreneur. We fail to replicate this finding using a much larger, independent dataset. In addition, we discuss the candidate gene approach and give suggestions to avoid the publication of false positives.