Adaptive culture and product/service innovation outcomes

Organizational culture has been used and defined extensively as a relatively stable, enduring set of values, beliefs, assumptions, and symbols shared in the organization. Based on this conception, researchers have studied the relationship between different types of cultures and innovation outcomes. In contrast to this static perspective, the dynamic systems perspective views culture as not necessarily determined by internalized and shared values. Rather, as cultures are constantly receiving environmental pressures that require continuous adaptation, they have an inherent attribute of change, which has been called adaptive culture. We focus on adaptive culture as an antecedent of product/service innovation outcomes, since innovations require a progressive upgrading of shared values, assumptions, and beliefs. Based on the thinking and acting schema, we propose two determinants of adaptive culture that help us to understand how culture can evolve to facilitate product/service innovation outcomes. We propose that structural flexibility and reflexive learning positively affect product/service innovation outcomes by creating an adaptive culture. A 190-company sample is used to analyze the theoretical model variables’ relationship to a culture that can change its values to improve product/service innovation outcomes. The results support the theoretical model, and lead to some implications for the management of culture.     

Measuring Disparities in Access to Health Care: A Proposal Based on an Ex-ante Perspective

Social Indicators Research - We provide a novel approach to evaluate access to health care based on the monetization of access barriers individuals face. This approach allows to distinguish the...     

Calibration model with skew scale mixtures of normal distributions

This work presents a new linear calibration model with replication by assuming that the error of the model follows a skew scale mixture of the normal distributions family, which is a class of asymmetric thick-tailed distributions that includes the skew normal distribution and symmetric distributions. In the literature, most calibration models assume that the errors are normally distributed. However, the normal distribution is not suitable when there are atypical observations and asymmetry. The estimation of the calibration model parameters are done numerically by the EM algorithm. A simulation study is carried out to verify the properties of the maximum likelihood estimators. This new approach is applied to a real dataset from a chemical analysis.     

Comments on “Sums,Products, and Ratios of Non-Central Beta Variables” by Saralees Nadarajah

Brief comments on “Sums, Products, and Ratios of Non-Central Beta Variables” by Saralees Nadarajah, which appeared in Communications in Statistics – Theory and Methods, Volume 34, Issue 1, pp. 89–100.     

A New Proposal to Gauge Intergenerational Mobility: Educational Mobility in Europe as a Case Study

This paper is aimed at presenting a new intergenerational mobility index that (a) combines the intergenerational elasticity and the R-squared of the intergenerational regression and (b) enables the expression of the total degree of mobility as the weighted sum of mobility with respect to both parents. As a case study, we apply our proposal to investigate the intergenerational mobility of education in several European countries and its changes across birth cohorts. The results derived from the proposed index indicate that Nordic countries display higher levels of educational mobility than Southern countries, whereas continental countries are in an intermediate position. Moreover, it appears that the degree of mobility increases over time only in those countries with low initial levels and remains stable for the most mobile countries. Finally, for most of the countries the proposed methodology can prove that the degree of educational mobility with respect to each parent tends to converge to the same level over the course of time.     

Bayesian dynamic network actor models with application to South Korean COVID-19 patient movement data

Statistical Methods & Applications - Motivated by the ongoing COVID-19 pandemic, this article introduces Bayesian dynamic network actor models for the analysis of infected individuals’...     

External Knowledge Sourcing and Firm Innovation Efficiency

This study examines the relationship between external knowledge sourcing and firm innovation efficiency. We build on the organizational learning theory to propose that this relationship follows an inverted U‐shape: as the level of external knowledge sourcing increases from low to moderate, firm innovation efficiency increases; as the level of external knowledge sourcing increases from moderate to high, firm innovation efficiency declines. Further, we explore the moderating role of different contextual factors and contend that this inverted U‐shaped relationship is flattened in firms that operate in high‐tech sectors and in firms that face high internal constraints for innovation. Our empirical analysis is based on a sample of 3,204 Spanish firms over the period 2004–2015, and our results provide support for these contentions. We used data envelopment analysis methodology to estimate firm innovation efficiency relative to industry best performers, and truncated regression models for panel data with bootstrapped confidence intervals to test our hypotheses.     

Discrete approximations of continuous and mixed measures on a compact interval

When considering a mixed probability measure on [0, 1] with atoms in zero and one, the frontier points have to be treated (and ??weighted??) differently and separately with respect to the interior points. In order to avoid the troublesome consequences of a mixed model, an easily interpretable discretization of [0, 1] on uniformly spaced atoms is here proposed. This ??homogeneous support?? is used to define two discrete models, a parametric and a nonparametric one. An application to real data on recovery risk of the Bank of Italy??s loans is here considered to exemplify both discretization and proposed models. Finally, a simulation study is performed to analyze the behavior of the nonparametric proposal in terms of goodness-of-fit.     

Demos-Ethos: a framework to study the Icelandic and Basque cases through Critical Social Innovation and Applied Ethics

This article presents a framework informed by two disciplines, Social Innovation and Applied Ethics, to be used in an ongoing analysis of territorial democratic systems. It aims to combine Social Innovation and Applied Ethics analysis to better understand the socio-political regeneration process in Iceland initiated with the 2008 global crisis. This crisis, particularly in Iceland had an economic and political aspect affecting the self-understanding of the territories as a whole, but in the Basque Country at present, it also deals with the current peace process to settle down political violence and its causes. In both cases there are deep underlying value issues. Nevertheless, this article introduces only the results obtained in Iceland. While its democratic system has proven to be able to contest the causes of the crisis, there is no definitive evidence that the re-examination process that was opened in October 2008 is resolved yet.