Leader Emergence in Nascent Venture Teams: The Critical Roles of Individual Emotion Regulation and Team Emotions

This study advances a theory of how different aspects of emotion regulation influence individual leader emergence in the intensely emotional context of nascent venture teams. Despite the growing amount of research on the role of leadership in the entrepreneurial process, the emergence of leaders in nascent venture teams has rarely been explored. Drawing on theories and research on leadership emergence and emotion regulation, we argue that the two aspects of emotion regulation (i.e., reappraisal and suppression) exert opposite effects on the degree to which nascent venture team members come to perceive an individual as a leader. We also theorize that team emotions arising from affective events moderate the relationship between reappraisal and leader emergence in such teams. Data from 103 nascent venture teams without prior leaders show a negative relationship between individuals’ trait disposition to suppress emotions and their emergence as leaders, and a positive relationship between their trait disposition to reappraise emotions and their emergence as leaders. Moreover, we find that negative team emotions magnify the positive association between reappraisal and leader emergence, while positive team emotions mitigate it. We discuss the implications of our findings for the literature on entrepreneurial leadership, entrepreneurial emotions, and leadership in general.     

Some general results for moments in bivariate distributions

The purpose of this paper is to present a closed formula to compute the moments of a general function from the knowledge of its bivariate survival function. The result is derived by utilizing an integration by parts formula for two variables, which is not readily available in the literature. Many of the existing results are obtained as special cases. Finally, two examples are presented to illustrate the results. In both the examples, mixed moments as well as moments for the series system and parallel system are obtained. The integration by parts formula in two variables, derived here, is of interest in its own right and we hope that it will be useful in other investigations. The integration by parts formula in two variables is derived as a special case of a general formula in n variables.     

Demographic determinants of incident experience and risk perception: do high-risk groups accurately perceive themselves as high-risk?

This paper analyzes demographic determinants of incident experience and risk perception, as well as the relationship between the two, for eight different risk domains. Analyses were conducted by merging the results of a Swedish population-based survey, which includes approximately 15,000 individuals, with demographic and socio-economic register data. Being male was associated with higher incident experience yet a lower risk perception for nearly all risk domains. Lower socioeconomic status was associated with higher incident experience for falls, and being a victim of violence but lower incident experience for road traffic accidents. Lower socioeconomic status was also associated with higher risk perception for falls. On aggregate, ranking the different domains, respondents’ risk perception was in almost perfect correspondence to the ranking of actual incident experience, with the exception that the risk of being a victim of violence is ranked higher than indicated by actual incident experience. On a demographic group level, men and highly educated respondents perceive their risks to be lower than what is expected considering their actual incident experience.     

Association between provider specialty and healthcare costs and glycemic control for patients with diabetes

Aims: To analyze the association between provider, healthcare costs, and glycemic control for patients with diabetes mellitus (DM).

Materials and methods: This cross-sectional study identified adults with type 1 or 2?DM (T1D, T2D) in the Optum database. The main independent variable was provider (endocrinologist or primary care). Regression analysis compared total medical and pharmacy costs, adjusting for health status and other patient differences, by provider.

Results: For all patients, HbA1C improvement was greater, and medical costs significantly lower with an endocrinologist rather than a primary care provider. The largest HbA1C improvement (4%) occurred for insulin-dependent patients seen by endocrinologists. Significant medical savings with endocrinologist management occurred within the Medicare Advantage population in every sub-group of patients, with 14% lower costs ($4,767) for patients with T1D, 11% lower costs ($3,160) for patients with macro- and microvascular complications, and 10% lower costs ($2,237) for insulin-dependent patients. Within the commercial insurance population, medical costs were reduced by ≥9% in every sub-group of patients, with a 20% reduction ($8,450) for patients with micro- and macrovascular complications. Overall total costs (medical and pharmacy) were 8% ($1,541) higher for patients receiving endocrinologist rather than primary care, although endocrinologist care resulted in a 9% reduction (–$3,710) in costs for Medicare Advantage patients with T1D. Total medical costs (excluding pharmacy costs) may be a more accurate indicator of costs associated with patients in various stages of DM.

Limitations: There was insufficient data to develop risk-adjustment payments for pharmacy costs based on disease severity. The cross-sectional design identifies associations and not cause–effect relationships.

Conclusion: DM management by an endocrinologist was associated with greater HbA1C improvement and significantly lower medical costs. Total costs were higher with an endocrinologist, but for patients with T1D lower costs were seen, ranging from 2–9% regardless of insurance type.     

Property Prices and Exposure to Multiple Noise Sources: Hedonic Regression with Road and Railway Noise

This study examines the effect of road and railway noise on property prices. It uses the hedonic regression technique on a Swedish data set that contains information about both road and railway noise for each property, and finds that road noise has a larger negative impact on the property prices than railway noise. This is in line with the evidence from the acoustical literature which has shown that individuals are more disturbed by road than railway noise, but contradicts recent results from a hedonic study on data of the United Kingdom.     

Risk Preferences Regarding Multiple Fatalities and Some Implications for Societal Risk Decision Making—An Empirical Study

Risk preferences related to accidents or other situations involving the possibility of multiple fatalities were studied in 87 persons in Sweden belonging to two separate groups with professional or educational knowledge of risk‐ and crisis‐management issues. Use was made of a tradeoff method, the results obtained consisting of von Neuman–Morgenstern utility functions over the range of 0–1000 fatalities. Most of the utility curves for the number of fatalities were found to be convex, implying the majority of subjects to display risk‐seeking behaviour. Implications of the findings for societal risk decision making are discussed, along with prospective areas of application and the possibilities of considering other dimensions than the number of fatalities.     

Über die Darstellung willkürlicher Funktionen durch Charliersche Differenzreihen

Abstract

Let us survey an economic subject A₀ who at the point t₀ is planning to offer for sale a number q of lots during a space of time = selling period of lottery ticket.     

Consumer understanding of food labels: toward a generic tool for identifying the average consumer

The ‘average consumer’ is referred to as a standard in regulatory contexts when attempts are made to benchmark how consumers are expected to reason while decoding food labels. An attempt is made to operationalize this hypothetical ‘average consumer’ by proposing a tool for measuring the level of informedness of an individual consumer against the national median at any time. Informedness, i.e. the individual consumer's ability to interpret correctly the meaning of the words and signs on a food label is isolated as one essential dimension for dividing consumers into three groups: less-informed, informed, and highly informed consumers. Consumer informedness is assessed using a 60-question test related to information found on a variety of Danish everyday food products and divided into factual questions and informedness about signpost labels. A test was made with 407 respondents who participated in four independent studies on fairness in consumer communication, and the average score for all was 57.6% of correct answers. A score of 64% and beyond would place a consumer in the upper quartile (the group of highly informed consumers), whereas a score of 52% or below would place the individual in the lower quartile (the group of less-informed consumers). Female respondents performed better than males on label recognition, and those around 40 years of age irrespective of gender performed best on factual knowledge, whereas those aged around 30 performed best on label recognition. It is foreseen that independent future studies of consumer behavior and decision making in relation to food products in different contexts could benefit from this type of benchmarking tool.     

Testing the Porter hypothesis: the effects of environmental investments on efficiency in Swedish industry

The main objective of this paper is to test the Porter hypothesis by assessing static and dynamic effects of environmental policy on productivity. According to the hypothesis, stringent environmental regulations have dynamic effects on firm performance, and these effects eventually generate profits that offset the adaptation costs. We extend previous analyses by using unique data on environmental protection investments in the Swedish manufacturing industry as a proxy for environmental stringency. These data enable us to separate environmental protection investments into pollution prevention and pollution control. This distinction is crucial since the hypothesis claims that it is investments in prevention that have positive dynamic effects on firm performance. To test the hypothesis, a stochastic production frontier model is estimated where firm inefficiency is a function of investments in environmental protection. In general, we find no support for the Porter hypothesis within the time frame of our study, indicating that environmental regulations lead to efficiency losses. This result is even stronger in the harshly regulated pulp and paper industry.