The Dynamics of Advice Giving by Venture Capital Firms: Antecedents of Managerial Cognitive Effort

2017 ◽  
Vol 45 (4) ◽  
pp. 1660-1688 ◽  
Author(s):  
Violetta Bacon-Gerasymenko ◽  
J. P. Eggers
Keyword(s):  
Venture Capital ◽  
Dynamic Environments ◽  
Cognitive Effort ◽  
Data Set ◽  
Unique Data ◽  
The Past ◽  
Advice Giving ◽  
Novel Theory ◽  
Venture Capital Firms ◽  
Empirical Tests

This study investigates what leads managers to allocate constrained cognitive effort toward new versus familiar aspects of a business. Specifically, we explore advice giving by venture capital firms (VCs) to their portfolio companies, distinguishing between business topics on which a VC has advised other ventures in the past and topics new to the VC that may be outside its areas of expertise. We use both demand-side (venture-driven) and supply-side (VC-driven) perspectives to offer a novel theory about the antecedents of cognitive effort underlying advice giving. Empirical tests in a unique data set of French VCs show that both perspectives explain important aspects of advice-giving dynamics for VCs. VCs facing dynamic environments and capacity constraints strongly respond to stimuli from ventures, but VCs also adjust their behavior as they accumulate experience in ways that reflect both expanding confidence in their ability to add value and concerns about overextension of their efforts, depending on the valence of VC experience. Our findings provide important insights to the antecedents of cognitive effort and to research on the VC–venture relationship by exploring the dynamics of how advice-giving relationships evolve over time as VCs gain experience.

scholarly journals How COVID-19 Have Changed Crowdfunding: Evidence From GoFundMe

2021 ◽  
Author(s):  
Junda Wang ◽  
Xupin Zhang ◽  
Jiebo Luo
Keyword(s):  
Racial Disparity ◽  
Computational Approach ◽  
Long Term Effects ◽  
Data Set ◽  
Unique Data ◽  
The Past ◽  
Before And After ◽  
The Impact ◽  
Shed Light

While the long-term effects of COVID-19 are yet to be determined, its immediate impact on crowdfunding is nonetheless significant. This study takes a computational approach to more deeply comprehend this change. Using a unique data set of all the campaigns published over the past two years on GoFundMe, we explore the factors that have led to the successful funding of a crowdfunding project. In particular, we study a corpus of crowdfunded projects, analyzing cover images and other variables commonly present on crowdfunding sites. Furthermore, we construct a classifier and a regression model to assess the significance of features based on XGBoost. In addition, we employ counterfactual analysis to investigate the causality between features and the success of crowdfunding. More importantly, sentiment analysis and the paired sample t-test are performed to examine the differences in crowdfunding campaigns before and after the COVID-19 outbreak that started in March 2020. First, we note that there is significant racial disparity in crowdfunding success. Second, we find that sad emotion expressed through the campaign's description became significant after the COVID-19 outbreak. Considering all these factors, our findings shed light on the impact of COVID-19 on crowdfunding campaigns.

scholarly journals The Measure of Man and Older Age Mortality: Evidence from the Gould Sample

2004 ◽  
Vol 64 (1) ◽  
pp. 1-23 ◽  
Author(s):  
DORA L. COSTA
Keyword(s):  
Heart Disease ◽  
White Men ◽  
Abdominal Fat ◽  
Older Age ◽  
Data Set ◽  
Frame Size ◽  
Unique Data ◽  
The Past ◽  
Civil War Soldiers ◽  
Over Time

This article documents differences in body size between white, black, and Indian mid-nineteenth-century American men and investigates the socioeconomic and demographic determinants of frame size using a unique data set of Civil War soldiers. It finds that over time men have grown taller and heavier and have relatively less abdominal fat, implying that “modern” chronic diseases such as ischemic heart disease were common in the past. Changes in frame size explain almost half of the mortality decline among white men between 1914 and 1988 and predict even sharper declines in older age mortality between 1988 and 2022.

An Index For Venture Capital, 1987-2003

2005 ◽  
Vol 4 (1) ◽  
Author(s):  
Min Hwang ◽  
John M. Quigley ◽  
Susan E. Woodward
Keyword(s):  
Venture Capital ◽  
Selection Bias ◽  
Private Equity ◽  
Private Company ◽  
Data Set ◽  
Unique Data ◽  
Valuation Model ◽  
Asset Classes

Abstract In this paper we build an index of value for venture capital. Our approach overcomes the problems of intermittent, infrequent pricing of private company deals by using a repeat valuation model to build the index, and it corrects for selection bias in the reporting of values. We use a unique data set from Sand Hill Econometrics which reports 50,734 funding events, which include the contemporaneous valuations of 9,092 private equity firms disclosed 19,208 times over almost 17 years. The resulting index measures the return and risk for venture capital. Its covariance with other asset classes from 1987 through 2003 enables us to explore the role of venture capital in diversified portfolios during a period of increased importance of venture capital in the economy.

scholarly journals The Implications of Offering Free Versions for the Performance of Paid Mobile Apps

2017 ◽  
Vol 81 (6) ◽  
pp. 62-78 ◽  
Author(s):  
Sandeep Arora ◽  
Frenkel ter Hofstede ◽  
Vijay Mahajan
Keyword(s):  
Information Systems ◽  
Mobile Application ◽  
Mobile Apps ◽  
Later Life ◽  
Negative Association ◽  
Life Stages ◽  
Data Set ◽  
Unique Data ◽  
The Past ◽  
App Development

The mobile application (app) industry has grown tremendously over the past ten years, primarily fueled by small app development businesses. Lacking advertising budgets, these small and relatively unknown businesses often offer free versions of their paid apps to be noticed in the crowded app industry and to reduce customer uncertainty about app quality and fit. The authors build on the existing marketing and information systems literature on sampling and versioning to investigate the implications of offering free versions for the adoption speed of paid apps. Using a unique data set of 7.7 million observations from 12,315 paid apps, and accounting for endogeneity, the authors find that although the practice of offering free versions of paid apps is popular, it is negatively associated with paid app adoption speed. They also find that this negative association between free version presence and paid app adoption speed is stronger both for hedonic apps and in the later life stages of paid apps. The authors hope that the study's results will encourage app developers to reevaluate their current strategy of offering free versions of paid apps and prompt academics to produce more work focusing on this industry.

scholarly journals Microfinance and Vulnerability to Seasonal Famine in a Rural Economy: Evidence from Monga in Bangladesh

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Claudia Berg ◽  
M. Shahe Emran
Keyword(s):  
Food Security ◽  
Rural Economy ◽  
Screening Process ◽  
Data Set ◽  
Estimation Strategy ◽  
Positive Effects ◽  
Unique Data ◽  
Primary Mechanism ◽  
Poor Households ◽  
Microfinance Institution

AbstractThis paper uses a unique data set on 143,000 poor households from Northern Bangladesh to analyze the effects of microfinance membership on a household’s ability to cope with seasonal famine known as Monga. We develop an identification and estimation strategy that exploits a jump and a kink at the 10-decimal land ownership-threshold driven by the Microfinance Institution screening process to ensure repayment by excluding the ultra-poor. Evidence shows that microfinance membership improves food security during Monga, especially for the poorest households who survive at the margin of one and two meals a day. The positive effects on food security are, however, not driven by higher income, as microcredit does not improve the ability to migrate for work, nor does it reduce dependence on distress sale of labor. The evidence is consistent with consumption smoothing being the primary mechanism behind the gains in food security of MFI households during the season of starvation.

scholarly journals Principals between exploitation and exploration: Results of a nationwide study on ambidexterity of school leaders

2020 ◽  
pp. 174114322094570
Author(s):  
Marcus Pietsch ◽  
Pierre Tulowitzki ◽  
Colin Cramer
Keyword(s):  
Dynamic Environments ◽  
Management Research ◽  
Data Set ◽  
Term Survival ◽  
Leadership And Management ◽  
Nationwide Study ◽  
Efficiency Control ◽  
Exploitation And Exploration ◽  
Discontinuous Innovation

Both organizational and management research suggest that schools and their leaders need to be ambidextrous to secure prosperity and long-term survival in dynamic environments characterized by competition and innovation. In this context, ambidexterity refers to the ability to simultaneously pursue exploitation and exploration and thus to deliver efficiency, control and incremental improvements while embracing flexibility, autonomy and discontinuous innovation. Using a unique, randomized and representative data set of N = 405 principals, we present findings on principals’ exploitation and exploration. The results indicate: (a) that principals engage far more often in exploitative than in explorative activities; (b) that exploitative activities in schools are executed at the expense of explorative activities; and (c) that explorative and ambidextrous activities of principals are positively associated with the (perceived) competition between schools. The study brings a novel perspective to educational research and demonstrates that applying the concept of ambidexterity has the potential to further our understanding of effective educational leadership and management.

scholarly journals Microfinance and Vulnerability to Seasonal Famine in a Rural Economy: Evidence from Monga in Bangladesh

2020 ◽  
Vol 20 (3) ◽  
Author(s):  
Claudia Berg ◽  
M. Shahe Emran
Keyword(s):  
Food Security ◽  
Rural Economy ◽  
Screening Process ◽  
Data Set ◽  
Estimation Strategy ◽  
Positive Effects ◽  
Unique Data ◽  
Primary Mechanism ◽  
Poor Households ◽  
Microfinance Institution

AbstractThis paper uses a unique data set on 143,000 poor households from Northern Bangladesh to analyze the effects of microfinance membership on a household's ability to cope with seasonal famine known as Monga. We develop an identification and estimation strategy that exploits a jump and a kink at the 10 decimal land ownership-threshold driven by the Microfinance Institution (MFI) screening process to ensure repayment by excluding the ultra-poor. Evidence shows that microfinance membership improves food security during Monga, especially for the poorest households who survive at the margin of one and two meals a day. The positive effects on food security are, however, not driven by higher income, as microcredit does not improve the ability to migrate for work, nor does it reduce dependence on distress sale of labor. The evidence is consistent with consumption smoothing being the primary mechanism behind the gains in food security of MFI households during the season of starvation.

scholarly journals Change in mean and extreme temperature at Yingkou station in Northeast China from 1904 to 2017

2021 ◽  
Vol 164 (3-4) ◽  
Author(s):  
Xiaoying Xue ◽  
Guoyu Ren ◽  
Xiubao Sun ◽  
Panfeng Zhang ◽  
Yuyu Ren ◽  
...  
Keyword(s):  
Northeast China ◽  
Extreme Temperature ◽  
Maximum Temperature ◽  
Data Set ◽  
The Past ◽  
Significant Downward Trend ◽  
Cold Events ◽  
Temperature Indices ◽  
Increasing Trends ◽  
Change In Mean

AbstractThe understanding of centennial trends of extreme temperature has been impeded due to the lack of early-year observations. In this paper, we collect and digitize the daily temperature data set of Northeast China Yingkou meteorological station since 1904. After quality control and homogenization, we analyze the changes of mean and extreme temperature in the past 114 years. The results show that mean temperature (Tmean), maximum temperature (Tmax), and minimum temperature (Tmin) all have increasing trends during 1904–2017. The increase of Tmin is the most obvious with the rate of 0.34 °C/decade. The most significant warming occurs in spring and winter with the rate of Tmean reaching 0.32 °C/decade and 0.31 °C/decade, respectively. Most of the extreme temperature indices as defined using absolute and relative thresholds of Tmax and Tmin also show significant changes, with cold events witnessing a more significant downward trend. The change is similar to that reported for global land and China for the past six decades. It is also found that the extreme highest temperature (1958) and lowest temperature (1920) records all occurred in the first half of the whole period, and the change of extreme temperature indices before 1950 is different from that of the recent decades, in particular for diurnal temperature range (DTR), which shows an opposite trend in the two time periods.

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