230 research outputs found

    Social capital's dark side: knowledge, reciprocity, and the liability of relationships

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    Social capital resources for the firm can be conceptualized as those executive-to-executive connections held by a firm’s top management team, as well as firm-to-firm relationships that exist fairly independently of particular individuals. This type of resource can compose an important portion of any firm’s overall resource portfolio. The potential benefits associated with social capital include enhanced economic exchange opportunities, improved innovation capabilities and increased firm survival rates, among others. This study adds to the literature stream focusing on the positive consequences of social capital by demonstrating the cross-level influence of social capital on the development of reciprocity within a joint venture network. It also highlights the link between social capital resources and the quality of knowledge available to a firm via its joint venture partnerships. More importantly, though, we specifically investigate the conditions under which a firm’s social capital (firm-to-firm relationships or the social capital held by key executives) can contribute to undesirable firm-level behaviors. One often mentioned, yet rarely explored dimension of social capital is the phenomenon frequently called the ‘dark side’ of social capital. This dark side of social capital is argued to exist whenever the behavioral expectations accompanying social capital limit contribute to undesirable outcomes for the firm. Several hypotheses are tested in the context of joint ventures among S&P 500 firms. The likelihood of a firm having legal action taken against it by federal regulatory agencies or other firms is demonstrated herein to be related to the number and strength of social capital relationships. In general this research supports the view that having a large number of weak ties is beneficial for firms. More specifically, we found that in the wake of the passage of the Sarbanes-Oxley Act of 2002, an inverse relationship exists between the likelihood of firms engaging in the undesirable behaviors investigated and the number of Boards of Directors on which the firms’ respective executives held seats. Conversely, firms were more likely to engage in these undesirable behaviors whenever the firm-to-firm ties within their network of joint ventures were strongest. Furthermore, executive discretion was highly related to the likelihood of firms engaging in undesirable behaviors

    Family Business CEO Succession: Examining Personal Retirement Expectations

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    Retirement well-being expectations of incumbent family owned business CEOs is a critical precursor to successful succession events. The significant antecedents to retirement well-being expectation are family relationships, wealth management and transfer, leadership succession and development, and continuity and viability of the firm. Using data from a survey of 256 family firm CEOs we demonstrate those relationships and show a very strong connection between retirement well-being expectation and firm performance. Study results further our premise that antecedents to retirement well-being expectation are indirectly tied to the overall health and performance of the family firm

    The influence of gender and social attention to gender equality on applicant acceptance into venture development programs: competing perspectives

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    Purpose – The purpose of this paper is to add to the small but growing body of research examining the influence of founder gender on new venture access to venture development programs. Design/methodology/approach – Hypotheses were tested utilizing a sample of 482 nascent technology ventures which applied for admittance into a venture development organization headquartered in the southern region of the United States from March 2004 through February 2016. Findings – Findings suggest that female-founded applicant ventures experience a higher likelihood of acceptance into venture development programs than male-founded applicant ventures. Results further suggest that social attention to gender equality reduces this effect for female-founded applicant ventures. Findings extend the understanding of the gendered nature of high-technology venturing and venture development organizations. Research limitations/implications – The findings of this study may not generalize to new ventures operating in other contexts (e.g., non-U.S., low-tech, and other venture development programs). Additionally, this study's design and data limitations do not allow for the establishment of causality or address founder motivations to apply for acceptance into venture development programs. Originality/value – This study adds to empirical findings regarding the influence of founder gender on new venture acceptance into venture development programs by developing and testing competing hypotheses. This study also extends extant research by examining the moderating effect of social attention to gender equality on the hypothesized relationships between founder gender and acceptance into venture development programs

    a systematic review protocol

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    Introduction Varicella zoster virus (VZV) causes varicella (chicken pox) and herpes zoster (shingles). Worldwide, these diseases are associated with significant morbidity. Most of the epidemiological data on VZV come from high income countries. There are few data on VZV in Africa, where tropical climates and high HIV/AIDS prevalence rates are expected to impact the epidemiology of VZV. Safe and effective vaccinations for both varicella and herpes zoster exist, but are not routinely used in Africa. There are very few data available on VZV disease burden in Africa to guide the introduction of these vaccines on the continent. Our aim is to conduct a systematic review of the VZV-associated morbidity and mortality in Africa, which will provide critical information that could be used to develop vaccination policies against these diseases in Africa. Methods and analysis Electronic databases will be searched and all studies published after 1974 that meet predefined criteria will be assessed. The primary outcomes for the study are VZV incidence/prevalence, hospitalisation rates and total death rates. The secondary outcome for this study is the proportion of VZV hospitalisations and/or deaths associated with HIV/AIDS. Two reviewers will screen the titles and abstracts, and then independently review the full texts, to determine if studies are eligible for inclusion. A risk of bias and quality assessment tool will be used to score all included studies. Following standardised data extraction, a trend analysis using R-programming software will be conducted to investigate the trend of VZV. Depending on the characteristics of included studies, subgroup analyses will be performed. This review will be reported according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. Ethics and dissemination As this is a protocol for a systematic review, which will use already published data, no ethics approval is required. Findings will be disseminated in peer-reviewed journals. Trial registration number CRD4201502614

    Sample size requirements are not being considered in studies developing prediction models for binary outcomes: a systematic review

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    Background Having an appropriate sample size is important when developing a clinical prediction model. We aimed to review how sample size is considered in studies developing a prediction model for a binary outcome. Methods We searched PubMed for studies published between 01/07/2020 and 30/07/2020 and reviewed the sample size calculations used to develop the prediction models. Using the available information, we calculated the minimum sample size that would be needed to estimate overall risk and minimise overfitting in each study and summarised the difference between the calculated and used sample size. Results A total of 119 studies were included, of which nine studies provided sample size justification (8%). The recommended minimum sample size could be calculated for 94 studies: 73% (95% CI: 63–82%) used sample sizes lower than required to estimate overall risk and minimise overfitting including 26% studies that used sample sizes lower than required to estimate overall risk only. A similar number of studies did not meet the ≥ 10EPV criteria (75%, 95% CI: 66–84%). The median deficit of the number of events used to develop a model was 75 [IQR: 234 lower to 7 higher]) which reduced to 63 if the total available data (before any data splitting) was used [IQR:225 lower to 7 higher]. Studies that met the minimum required sample size had a median c-statistic of 0.84 (IQR:0.80 to 0.9) and studies where the minimum sample size was not met had a median c-statistic of 0.83 (IQR: 0.75 to 0.9). Studies that met the ≥ 10 EPP criteria had a median c-statistic of 0.80 (IQR: 0.73 to 0.84). Conclusions Prediction models are often developed with no sample size calculation, as a consequence many are too small to precisely estimate the overall risk. We encourage researchers to justify, perform and report sample size calculations when developing a prediction model

    Drought forecasting isn\u27t just about water- to get smart we need health and financial data too

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    The Millennium Drought taught Australians many lessons about living under extremely dry conditions – not just about how to conserve water, but also about human suffering. In a drought, farmers find it more difficult to make an income, leading to mental health problems and raising the rate of male suicides. In the city, the impact is felt through water restrictions and more expensive infrastructure. With very dry conditions returning to Tasmania, central Queensland and western Victoria, are we better prepared for the next big drought? This is an issue not just for Australia, but across the world, from California, to England, to the Levant region in the eastern Mediterranean, which from 1998-2012 experienced its worst drought in 900 years

    On the 12th day of Christmas, a statistician sent to me . . .

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    The BMJ’s statistical editors relish a quiet Christmas, so make their wish come true and pay attention to the list of common statistical faux pas presented here by Riley and colleagues
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