Goal-based construction of preferences: task goals and the prominence effect
Article Abstract:
The task-goal hypothesis as a behavioral decision model provides a new perspective on the prominence effect which suggests that the prominent attribute is given more weight in decisions involving choice preferences than in matching or tradeoff preferences. The new model's explanation for the prominence effect is that there is a preference for the prominent option in tasks where the goal is to differentiate than in tasks where the objective is to equate. This hypothesis can either point towards the need to redefine strategy compatibility in terms of task goals or the need to differentiate between task-goal effects and compatibility effects. Such a perspective on the prominence effect reflects the major role that task-goals play on how people make preferences. It has important implications for decision and policy analysis and consumer research.
Publication Name: Management Science
Subject: Business, general
ISSN: 0025-1909
Year: 1999
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Process improvement, quality, and learning effects
Article Abstract:
A study was conducted to characterize a dynamic framework of a monopolist making decisions regarding price, process improvement, production, and quality assurance efforts. The framework supports autonomous and induced learning and investment in process improvements. The model also considers the effects of learning on productivity and quality. In addition, the process improvement effort was determined from quality assurance effort. Results indicated that the model supports general functional forms for the costs and associations between various variables. In addition, findings showed that the framework accommodates insights on the behavioral characteristics of quality and quality-associated activities over time.
Publication Name: Management Science
Subject: Business, general
ISSN: 0025-1909
Year: 1998
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The impact of quality on learning
Article Abstract:
An empirical study on two Japanese manufacturing companies was conducted in an attempt to establish the theoretical link between quality and learning. Results of the study revealed that both cumulative defective outputs and cumulative good outputs are essential in analyzing learning curve effects. Further, it was shown that defective output units are better parameters of explaining learning effects than good commutative outputs because of the tendency of managers and employees to focus more on defective variables and interactions. It was also established that aside from production volume, other factors need to be addressed in explaining learning curve benefits.
Publication Name: Journal of Operations Management
Subject: Business, general
ISSN: 0272-6963
Year: 1997
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