On micro-foundations of dynamic capabilities: A multi-level perspective based on CEO personality and knowledge-based capital

In recent years, researchers have asked why some firms are better than others at developing dynamic capabilities. The existing literature assesses micro-foundations separately, either on the managerial or on the organizational level. This study aims to provide a more holistic picture on the antecedents of dynamic capabilities by integrating managerial and organizational micro-foundations. Specifically, we posit that the personality of Chief Executive Officers (CEOs), manifested through their core self-evaluation (CSE), represents an individual-level micro-foundation which influences three types of a firm's knowledge-based capital—human, social, and organizational capital. We also argue that these three, in turn, are organization-level micro-foundations that ultimately enable the development of a firm's dynamic capabilities. We test our multi-level framework using data from 307 German CEOs, and confirm that CEO CSE is positively related with all three forms of knowledge-based capital. We further find that human capital and organizational capital mediate the relationship between a CEO's CSE and a firm's dynamic capabilities. Our research contributes by extending a central framework of the micro-foundations project (the bathtub model) that integrates the upper echelons perspective into a multi-level analysis. We empirically validate this model and advance the understanding of how firm leaders indirectly influence firm dynamic capabilities by shaping individual learning conditions.     

Estimation of cost allocation coefficients at the farm level using an entropy approach

This paper aims to estimate the farm cost allocation coefficients from whole-farm input costs. An entropy approach was developed under a Tobit formulation and was applied to a sample of farms from the 2004 Farm Accountancy Data Network data base for Alentejo region, Southern Portugal. A Generalized Maximum Entropy model and Cross Generalized Entropy model were developed to the sample conditions and were tested. Model results were assessed in terms of their precision and estimation power and were compared with the observed data. The entropy approach showed to be a flexible and valid tool to estimate incomplete information, namely regarding farm costs.     

Testing the Personal Wellbeing Index on 12–16?Year-Old Adolescents in 3 Different Countries with 2 New Items

The 7-item adult version of the Personal Wellbeing scale (Cummins et al. Social Indic Res 64:159?C190, 2003) was administered to two samples of adolescents aged 12?C16 in Brazil (N?=?1,588) and Spain (N?=?2,900), and to a sample of adolescents aged 14?C16 in Chile (N?=?843). The results obtained were analyzed to determine its psychometric characteristics when used with adolescents in the three different countries and to check whether two additional items would improve its qualities. Results reveal that the new PWI-9 version worked well with the adolescents in the three countries, improving some of the qualities of the PWI-7. One of the added items, satisfaction with oneself, appears to be a major contributor to unique explained variance when regressed on the single-item of overall life satisfaction (OLS). The model we present using structural equations shows good fit statistics for the factor structure, with both 7 and 9 items. Separate in-country analyses demonstrate that cultural context has a strong influence on correlations and saturations between the studied variables and also on the explained variance. Probably related to this fact, the Model fit structure is good in Brazil (with a low PWI variance accounted for by its predictors) and Spain (medium), but rather modest in Chile, where data show a high proportion of the PWI variance accounted for by its predictors. However, a multi-group factor analysis among the three countries restricting saturations to 1 in each country in order to make data comparable across countries still show a good fit of the proposed model for both PWI-7 and PWI-9.     

论原始儒家的"圣人" 理想

“圣人”是儒家思想中一个重要范畴。儒家的“圣人”观念与巫文化时期的“巫”存在着渊源关系 :圣人由巫演化而来 ;先秦儒家诸子的政治实践 ,直接促成了这一转变演化 ,也就是说 ,儒家诸子的政治实践过程也就是他们对“圣人”政治理想的构建过程 ;巫之所以能演化为“圣”和“圣人” ,有深刻的理论根源、社会历史原因和独特的社会经济根源     

Contextual movement models based on normalizing flows

AStA Advances in Statistical Analysis - Movement models predict positions of players (or objects in general) over time and are thus key to analyzing spatiotemporal data as it is often used in...     

Native and exotic species in the urban landscape of the city of Rio de Janeiro,Brazil: density,richness, and arboreal deficit

Shaped by European influences, the Brazilian urban landscape was marked by the predominant use of exotic species in planted areas. In the 19th century along the city streets of Rio de Janeiro, trees were planted at a standard distance from each other. With time, native species began to be used in the urban landscape. Our purpose was to evaluate the utilization of exotic plant species in the urban landscape of Rio de Janeiro, evaluate the city’s arboreal deficit, and relate its neighborhood arboreal density to its economic index. Arboreal deficit represents the negative difference between the total number of expected trees and the observed number in the streets based in the standard distance used in the past. Twenty native and 40 exotic species were found in the 1701 streets sampled. A high percent of streets did not have any planted trees and the number of trees was greater in wealthier neighborhoods. The strong prevalence of exotic species is indicative of the negative impact of human activity on the biota. Since the municipality of Rio de Janeiro harbors forested areas, the risk for dissemination of exotic species is high.     

Sensitivity analysis and choosing between alternative polytomous IRT models using Bayesian model comparison criteria

Polytomous Item Response Theory (IRT) models are used by specialists to score assessments and questionnaires that have items with multiple response categories. In this article, we study the performance of five model comparison criteria for comparing fit of the graded response and generalized partial credit models using the same dataset when the choice between the two is unclear. Simulation study is conducted to analyze the sensitivity of priors and compare the performance of the criteria using the No-U-Turn Sampler algorithm, under a Bayesian approach. The results were used to select a model for an application in mental health data.     

Coherent Hypothesis Testing

Multiple hypothesis testing, an important quantitative tool to report the results of scientific inquiries, frequently leads to contradictory conclusions. For instance, in an analysis of variance (ANOVA) setting, the same dataset can lead one to reject the equality of two means, say μ₁ = μ₂, but at the same time to not reject the hypothesis that μ₁ = μ₂ = 0. These two conclusions violate the coherence principle introduced by Gabriel in data-rid="cit0008" data-refLink="_i32 _i33 _i34" href="#">1969 Gabriel, K. R. (1969), “Simultaneous Test Procedures - Some Theory of Multiple Comparisons,” The Annals of Mathematical Statistics, 40, 224–250. Available at http://www.jstor.org/stable/2239213[Crossref] , [Google Scholar], and lead to results that are difficult to communicate, and, many times, embarrassing for practitioners of statistical methods. Although this situation is common in the daily life of statisticians, it is usually not discussed in courses of statistics. In this work, we enrich the teaching and discussion of this important topic by investigating through a few examples whether several standard test procedures are coherent or not. We also discuss the relationship between coherent tests and measures of support. Finally, we show how a Bayesian decision-theoretical framework can be used to build coherent tests. These approaches to coherence enlighten when such property is appealing in multiple testing and provide means of obtaining it.