Estilo lingüístico y prosocialidad en un contexto político en Twitter

El comportamiento prosocial ha sido explicado desde diferentes modelos con el propósito de comprender por qué las personas realizan conductas que benefician a otras de manera voluntaria (Barreto, López y Borja, 2015). El comportamiento prosocial contribuye, en algunos casos, a disminuir comportamientos de racismo, indiferencia social, exclusión y agresividad, entre otros fenómenos del comportamiento antisocial. La teoría evolucionista y las teorías sociales son algunos de los modelos explicativos que tienen más evidencia a favor. Desde la perspectiva evolucionista, se explica la aparición del comportamiento prosocial como una forma de garantizar la supervivencia de la especie, mediante comportamientos cooperativos en los que prevalece el interés a favor de la especie, sobre el individual con el fin de que la información genética sea transmitida de generación en generación (Guijo, 2002).1a edició

The impact of search costs on consumer behavior: a dynamic approach

Prices for grocery items differ across stores and time because of promotion periods. Consumers therefore have an incentive to search for the lowest prices. However, when a product is purchased infrequently, the effort to check the price every shopping trip might outweigh the benefit of spending less. I propose a structural model for storable goods that takes into account inventory holdings and search. The model is estimated using data on laundry detergent purchases. I find search costs play a large role in explaining purchase behavior, with consumers unaware of the price of detergent on 70 % of their shopping trips. Therefore, from the retailer's point of view raising awareness of a promotion through advertising and displays is important. I also find a promotion for a particular product increases the consumer's incentive to search. This change in incentives leads to an increase in category traffic, which from the store manager's perspective is a desirable side effect of the promotion

A systematic and critical review of the evolving methods and applications of value of information in academia and practice

Item does not contain fulltextOBJECTIVE: This article provides a systematic and critical review of the evolving methods and applications of value of information (VOI) in academia and practice and discusses where future research needs to be directed. METHODS: Published VOI studies were identified by conducting a computerized search on Scopus and ISI Web of Science from 1980 until December 2011 using pre-specified search terms. Only full-text papers that outlined and discussed VOI methods for medical decision making, and studies that applied VOI and explicitly discussed the results with a view to informing healthcare decision makers, were included. The included papers were divided into methodological and applied papers, based on the aim of the study. RESULTS: A total of 118 papers were included of which 50 % (n = 59) are methodological. A rapidly accumulating literature base on VOI from 1999 onwards for methodological papers and from 2005 onwards for applied papers is observed. Expected value of sample information (EVSI) is the preferred method of VOI to inform decision making regarding specific future studies, but real-life applications of EVSI remain scarce. Methodological challenges to VOI are numerous and include the high computational demands, dealing with non-linear models and interdependency between parameters, estimations of effective time horizons and patient populations, and structural uncertainties. CONCLUSION: VOI analysis receives increasing attention in both the methodological and the applied literature bases, but challenges to applying VOI in real-life decision making remain. For many technical and methodological challenges to VOI analytic solutions have been proposed in the literature, including leaner methods for VOI. Further research should also focus on the needs of decision makers regarding VOI