A dual-processing view of three cognitive strategies in strategic decision making: Intuition,analytic reasoning,and reframing

In making strategic decisions, managers implicitly or explicitly come to choose a cognitive strategy, by which we refer to the choices made as regards what type of information processing to engage in and rely on as the basis for a decision. Dual-processing theories of cognition recognize two types of information processing: non-conscious and conscious. There are two cognitive strategies—relying on intuition and engaging in analytic reasoning—that have a straightforward connection to the two types of information processing. However, managers often engage in reframing, that is, they deliberately attempt to rethink the background assumptions concerning how one approaches a decision-making situation. Despite the strategic importance of reframing, the foundations of this cognitive strategy remain theoretically underdeveloped. We argue that reframing involves both Type 1 and Type 2 processing in a complementary fashion. Specifically, reframing can be induced through conscious reflection and non-conscious processing during an incubation period. Furthermore, we argue that while reframing is a robust cognitive strategy across varying levels of environmental dynamism, dedicating time to reframing incurs significant opportunity costs, and can thus be employed only sparingly.     

Risk factors of severity of abuse against older women in the home setting: A multinational European study

ABSTRACT

This article examines the ecological risk factors of abuse against older women. Data from 2,880 older women were randomly collected in five European countries (Austria, Belgium, Finland, Lithuania, and Portugal) using a standardized questionnaire. Results indicate that overall 30.1 % older women had at least one experience of abuse in the past year. The findings demonstrate that a single emphasis on personal risk factors (e.g., health, coping) is important but too simple: Abuse is multifaceted and is embedded in environmental (e.g., loneliness, household income) as well as macrocultural contexts (e.g., old age dependency ratio).     

Optimal designs in random coefficient cubic regression models

In this article we investigate the problem of ascertaining A- and D-optimal designs in a cubic regression model with random coefficients. Our interest lies in estimation of all the parameters or in only those except the intercept term. Assuming the variance ratios to be known, we tabulate D-optimal designs for various combinations of the variance ratios. A-optimality does not pose any new problem in the random coefficients situation.     

An econometric analysis of the total demand for alcoholic beverages in Finland, 1960 to 1980

The subject considered in this paper is the building of an econometric model of the demand for alcoholic beverages in Finland. The aim is to develop a model which satisfies various theoretical, statistical and prognostic criteria and which is easy to interpret. Comparisons are made with the models made for the UK by McGuinness, Walsh and Duffy and attention is drawn to their shortcomings. The final model is a semilogarithmic model in a difference form which has good prognostic properties.