Search results for "causa."
showing 10 items of 647 documents
Effectuation Logic in Digital Business Model Transformation : Insights from Japanese High-Tech Innovators
2019
Purpose The purpose of this paper is to study how digital business models evolve when entrepreneurs move to new digital platforms and how this evolution is related to effectuation and causation logics. Design/methodology/approach This study applies a multiple case study approach to investigate how digital business models change in small, Japanese high-tech firms providing their innovations through different digital platforms. To investigate digital business models, this study considers the elements that comprise general business models. The case firms were selected based on size, products and transitions from physical to various digital platforms. Semi-structured interviews were conducted …
Pairwise and higher-order measures of brain-heart interactions in children with temporal lobe epilepsy
2022
Abstract Objective. While it is well-known that epilepsy has a clear impact on the activity of both the central nervous system (CNS) and the autonomic nervous system (ANS), its role on the complex interplay between CNS and ANS has not been fully elucidated yet. In this work, pairwise and higher-order predictability measures based on the concepts of Granger Causality (GC) and partial information decomposition (PID) were applied on time series of electroencephalographic (EEG) brain wave amplitude and heart rate variability (HRV) in order to investigate directed brain-heart interactions associated with the occurrence of focal epilepsy. Approach. HRV and the envelopes of δ and α EEG activity re…
Bayesian causal mediation analysis through linear mixed-effect models
2022
In mediational settings, the main focus is on the estimation of the indirect effect of an exposure on an outcome through a third variable called mediator. The traditional maximum likelihood estimation method presents several problems in the estimation of the standard error and the confidence interval of the indirect effect. In this paper, we propose a Bayesian approach to obtain the posterior distribution of the indirect effect through MCMC, in the context of mediational mixed models for longitudinal data. A simulation study shows that our method outperforms the traditional maximum likelihood approach in terms of bias and coverage rates.
Determinantes Sociales de la Salud, Modos de Transporte, y su Relación con Riesgo de Accidentalidad en Jóvenes residentes de la Región Metropolitana …
2022
Antecedentes y tema de trabajo: La movilidad y la circulación determinan dinámicas que caracterizan la vida humana. Estas actividades son tan importantes que se consideran un derecho humano universal, constituyéndose en fuente de constante preocupación para investigadores, gobiernos e instituciones. Las limitaciones al ejercicio de este derecho son un detrimento para la calidad de vida, especialmente cuando conlleva un número inaceptable de muertes y lesiones que hoy se consideran de carácter pandémico. Los eventos desfavorables para la movilidad y la circulación suelen denominarse como “suceso”, “incidente”, “choque”, “colisión”, y quizás el termino más empleado sea “accidente”. Ni experto…
Compensated transfer entropy as a tool for reliably estimating information transfer in physiological time series
2013
We present a framework for the estimation of transfer entropy (TE) under the conditions typical of physiological system analysis, featuring short multivariate time series and the presence of instantaneous causality (IC). The framework is based on recognizing that TE can be interpreted as the difference between two conditional entropy (CE) terms, and builds on an efficient CE estimator that compensates for the bias occurring for high dimensional conditioning vectors and follows a sequential embedding procedure whereby the conditioning vectors are formed progressively according to a criterion for CE minimization. The issue of IC is faced accounting for zero-lag interactions according to two a…
Double index recursive models
1994
The purpose of this document is to study the model belongs to the family of structural equation models with data varying both accross individuals (sectors) and in time. A complete theoretical analysis is developed in this work for the case of a recursive structure. Maximum likelihood estimation and Zellner's "seemingly unrelated equations" estimators (iterated or not) are presented and their asymptotic properties are carefully derived.The application of the estimation methods to the economy morocco produced statistically significant and economic meaningful results. Through a test of exogeneity, the recursivity of the system is confirmed. Policy recommendations are discussed and analyzed.
Stretching the value-satisfaction-loyalty chain by adding value dimensions and cognitive and affective satisfactions
2016
Purpose– Consensus on how value dimensions are drivers of overall perceived value is a widespread reality in consumer behaviour literature. But scanty research has been done on which of these value dimensions best predict customer loyalty. The purpose of this paper is to propose a causal model that examines how PERVAL dimensions of value affect customers’ loyalty, through both cognitive and affective satisfaction.Design/methodology/approach– The model is tested on a sample of 820 Spanish retail customers and the findings suggest that product quality and value for money (cognitive) impact customer loyalty through emotional and social value (affective), with significant direct and indirect ef…
What drives increases in hindsight impressions after the reception of biased media content?
2021
Prior research has shown that reading biased media content (e.g., Wikipedia articles) can increase recipients' hindsight bias. It remained unclear, however, which features of the biased texts led to such an increase. We examined this question in a longitudinal experimental study (N = 190). Specifically, we tested whether repeated exposure to already known information (H₁), a more coherent presentation of the information (H₂), or the presentation of novel information (H₃) affected readers' hindsight impressions of likelihood, inevitability, and foreseeability. To this end, participants initially learned about an event by reading several short news, and, 1 week later, received one of several …
Toddlers’ understanding of basic emotions: identification, labeling and causality / La comprensión temprana de las emociones básicas: identificación,…
2014
AbstractThe aim of this paper is to explore the early acquisition pattern of the understanding of basic emotions. Many studies indicate that three-year-old children identify emotions such as joy or sadness, but it is not known how this knowledge arises. Fifty-seven boys and girls between 21 and 32 months were assessed using the Brunet-Lezine-R developmental scale (BL-R) (Josse, 1997) and the Affective knowledge Test (AKT) (Denham, 1986). Through this test we evaluated the children’s knowledge of four basic emotions (happiness, sadness, anger and fear) in three of its components (identification, causality and linguistic labeling). In order to track knowledge acquisition longitudinally, a sma…
Aristotle’s Doctrine of Causes and the Manipulative Theory of Causality
2018
I will argue for the similarity between some aspects of Aristotle’s doctrine of causes and a particular kind of interventionist theory of causality. The interventionist account hypothesizes that there is a connection between causation and human intervention: the idea of a causal relation between two events is generated by the reflection of human beings on their own operating. This view is remindful of the Aristotelian concept of αἴτιον (cause), which is linked to the figure of the αἴτιος, the person who is responsible of an action. Aristotle conceives of the efficient cause as the active element which, in the φύσις, gives rise to movement and imposes the form, in analogy with the active ele…