Means-end analysis: Does the affective state influence information processing style?

2004 ◽  
Vol 21 (9) ◽  
pp. 715-737 ◽  
Author(s):  
Frank Huber ◽  
Suzanne C. Beckmann ◽  
Andreas Herrmann
Keyword(s):  
Information Processing ◽  
Affective State ◽  
Processing Style

scholarly journals Life Management Strategies as Mediators Between Information Processing Style and Subjective Well-Being

SAGE Open ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 215824402096280
Author(s):  
Maysam Shirzadifard ◽  
Ehsan Shahghasemi ◽  
Elaheh Hejazi ◽  
Shima Aminipour
Keyword(s):  
Information Processing ◽  
Satisfaction With Life ◽  
Management Strategies ◽  
Significant Proportion ◽  
Well Being ◽  
Theory And Practice ◽  
Subjective Well Being ◽  
Processing Style ◽  
Processing Styles ◽  
Life Management

This study investigates the mediating role of life management strategies to see how information processing styles indirectly influence subjective well-being. Participants were 440 university students (female = 202, male = 238) ranging in age from 18 to 50 years from all levels and all majors from universities in Quchan, Iran. In a nonexperimental design and by using path analysis, we found that selection, optimization, and compensation fully mediated the relationship between information processing styles and subjective well-being. Our proposed model fitted well to the data and could account for a significant proportion of variance in satisfaction with life, positive affects, and negative affects’ scores (42%, 51%, and 35%, respectively). These results provide empirical evidence that rational information processing style is a defining factor for planning, and its impact on subjective indicators of well-being operates indirectly and through life management strategies. This model, with a more active approach, has implications for both theory and practice in psychotherapy.

scholarly journals How Mood States Affect Information Processing During Facial Emotion Recognition: An Eye Tracking Study

2011 ◽  
Vol 70 (4) ◽  
pp. 223-231 ◽  
Author(s):  
Petra C. Schmid ◽  
Marianne Schmid Mast ◽  
Dario Bombari ◽  
Fred W. Mast ◽  
Janek S. Lobmaier
Keyword(s):  
Information Processing ◽  
Eye Movements ◽  
Emotion Recognition ◽  
Recognition Performance ◽  
Recognition Task ◽  
Global Processing ◽  
Local Processing ◽  
Processing Style ◽  
Happy Mood ◽  
Sad Mood

Existing research shows that a sad mood hinders emotion recognition. More generally, it has been shown that mood affects information processing. A happy mood facilitates global processing and a sad mood boosts local processing. Global processing has been described as the Gestalt-like integration of details; local processing is understood as the detailed processing of the parts. The present study investigated how mood affects the use of information processing styles in an emotion recognition task. Thirty-three participants were primed with happy or sad moods in a within-subjects design. They performed an emotion recognition task during which eye movements were registered. Eye movements served to provide information about participants’ global or local information processing style. Our results suggest that when participants were in a happy mood, they processed information more globally compared to when they were in a sad mood. However, global processing was only positively and local processing only negatively related to emotion recognition when participants were in a sad mood. When they were in a happy mood, processing style was not related to emotion recognition performance. Our findings clarify the mechanism that underlies accurate emotion recognition, which is important when one is aiming to improve this ability (i.e., via training).

scholarly journals The inverse relation between risks and benefits: The impact of individual differences in information processing style

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0255569
Author(s):  
Patrycja Sleboda ◽  
Carl Johan Lagerkvist
Keyword(s):  
Information Processing ◽  
Cognitive Processing ◽  
Dual Process ◽  
Processing Style ◽  
Processing Styles ◽  
Affect Heuristic ◽  
Risks And Benefits ◽  
Food Applications ◽  
Dual Process Theories ◽  
The Impact

Existing research shows that evaluations of the risks and benefits of various hazards (i.e., technologies and activities) are inversely related. The affect heuristic explains the negative relation between risks and benefits, as based on the strength of positive or negative affect associated with a hazard. Research on the affect heuristic previously investigated under which conditions people judge risk and benefits independently, focusing on expertise as a factor that might exempt from inversely related judgements of risk and benefits. Measurements within Dual Process Theories have been found to be associated with rational, analytical decision making and accurate judgments. In this paper we investigated the extent to which rational information processing styles can predict the risk-benefit relation of technologies in a medical and food applications and whether the attitudes influence the strength or direction of the relationship. Using the Need for Cognition Scale (NFC), a psychometric-based risk scale and an explicit measure of attitude, in a representative sample of 3228 Swedes, we found that the high NFC group judged the risks and benefits of technologies to be inversely related. In contrast, the low NFC group judged the risks and benefits to be positively related. These results were confirmed across all studied technologies by applying moderation analysis. We discuss the results in light of recent research on cognitive processing and polarization over technologies’ risks.

Marketing in Turbulent Environments: Decision Processes and the Time-Sensitivity of Information

1993 ◽  
Vol 30 (4) ◽  
pp. 509-521 ◽  
Author(s):  
Rashi Glazer ◽  
Allen M. Weiss
Keyword(s):  
Information Processing ◽  
Decision Processes ◽  
Simulation Game ◽  
Managerial Behavior ◽  
Processing Style ◽  
Turbulent Environments ◽  
Behavioral Decision ◽  
Time Sensitivity ◽  
And Performance ◽  
The Relationship

The authors study the relationship among information processing, marketing decisions, and performance in turbulent markets—i.e., markets in which the time-sensitivity of information is a major factor in decision making. Drawing on both organizational contingency theory and individual behavioral decision research, the authors suggest that successful performance depends on the congruence between the level of marketplace turbulence and the information-processing style and associated decisions adopted. They focus by way of example on the decision processes embodied in formal planning procedures. Using the results from an experiment conducted with a strategic marketing simulation game, they show that “planning” leads both to an underweighting of the time-sensitivity of marketplace information and toward a bias in favor of certain marketing decisions over others—decisions that, in this case, result in inferior performance in turbulent markets when compared with that of decision makers not engaged in formal planning. They discuss the implications of the findings for managerial behavior in turbulent markets.

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