Why Hurry? The Slow Process of High Growth in Women‐Owned Businesses in a Resource‐Scarce Context

This article critically uncovers how embeddedness within a resource‐scarce context influences high‐growth women’s entrepreneurship. Research suggests that though highly embedded women entrepreneurs can easily access resources and attain legitimacy, resulting in high‐growth businesses, they can also become locked into existing systems that constrain their growth development paths. Using 16 qualitative cases developed in Cameroon, we unpack and resolve this paradox by analyzing how entrepreneurial path creation by women entrepreneurs enables the realization of growth aspirations. Implications for initiatives to support high‐growth women’s entrepreneurship in resource‐scarce contexts are critically examined.     

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.     

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 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).     

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.     

Chinese multinationals on the New Silk Route: Managing political risk by branding the nation

Though Chinese multinational enterprises (CMNEs) have brought investment and opportunities to countries along the Belt and Road Initiative, there has been scepticism regarding the content and context of their investment. On the one hand, infrastructural development contributes to GDP formation and enhances the efficiency of productive inputs where international trade enhances technology and export development, which jointly provides a path to economic growth. On the other hand, critical issues such as debt sustainability and national sovereignty among countries that have gone through the decolonization process mean that CMNEs need to grasp the implication of political risk when investing. This article focuses on South and Southeast Asia, where China has historical socio‐economic relationship, and proposes a nation branding model combining tradition and modernity which can be the way forward for CMNEs to mitigate political risk in relation to the Belt and Road Initiative (BRI) investment. Nation branding of BRI could be seen as a continuity of China's unfinished business in globalization that has preceded the modern polity; nevertheless, there is a need to communicate a coherent and authentic message that reflects the reality of business operations.     

Can Language Predict Bankruptcy? The Explanatory Power of Tone in 10‐K Filings

We examine whether the language used in 10‐K filings reflects a firm's risk of bankruptcy. Our sample contains 424 bankrupt U.S. companies in the period 1994–2015 and we use propensity score matching to find healthy matches. Based on a logit model of failing and vital firms, our findings indicate that firms at risk of bankruptcy use significantly more negative words in their 10‐K filings than comparable vital companies. This relationship holds up until three years prior to the actual bankruptcy filing. With our investigation, we confirm the results from previous accounting and finance research. 10‐K filings contain valuable information beyond the reported financials. Additionally, we show that 10‐Ks filed in the year of a firm's collapse contain an increased number of litigious words relative to healthy businesses. This indicates that the management of failing firms is already dealing with legal issues when reporting financials prior to bankruptcy. Our results suggest that analysts ought to include the presentation of financials in their assessment of bankruptcy risk as it contains explanatory and predictive power beyond the financial ratios.     

Profiling high-frequency equity price movements in directional changes

Market prices are traditionally sampled in fixed time intervals to form time series. Directional change (DC) is an alternative approach to record price movements. Instead of sampling at fixed intervals, DC is data driven: price changes dictate when a price is recorded. DC provides us with a complementary way to extract information from data. It allows us to observe features that may not be recognized in time series. The argument is that time series and DC-based analysis complement each other. With data sampled at irregular time intervals in DC, however, some of the time series indicators cannot be used in DC-based analysis. For example, returns must be time adjusted and volatility must be amended accordingly. A major objective of this paper is to introduce indicators for profiling markets under DC. We analyse empirical high-frequency data on major equities traded on the UK stock market, and through DC profiling extract information complementary to features observed through time series profiling.