Regulatory Fit and Persuasion: Basic Principles and Remaining Questions

Cesario, Joseph; Higgins, E. Tory; Scholer, Abigail A.

doi:10.1111/j.1751-9004.2007.00055.x

Cited by 305 publications

(299 citation statements)

References 45 publications

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“…High elaboration is required for judging argument quality, and therefore messages differentiated by quality (not quantity) would require a non-fit situation to be more persuasive to arrive at favorable outcomes. Cesario et al (2008) report more examples of non-fit favorability with a cautionary note that these situations do not necessarily generalize the value of fit in other domains or contexts.…”

Section: Consideration 1: Regulatory Focus Possesses a Distinct Placementioning

confidence: 94%

Considerations and Confusions about the Regulatory Focus Theory and a Future Agenda for Researchers in Marketing

Merdin-Uygur¹

2017

BU Journal

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The regulatory focus theory is the mark of a paradigm shift away from a unidimensional hedonism towards a multiplicity of regulatory foci. It possesses great explanatory power; however a lot remains unresolved despite a promising body of empirical work. This paper highlights various considerations concerning the conceptual and comparative qualities of the regulatory focus theory. The discussion moves into the intersection of regulatory focus and consumer behavior literature, briefly summarizing the findings and followed by a number of propositions to be tested for future research.

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Section: Consideration 1: Regulatory Focus Possesses a Distinct Placementioning

confidence: 94%

Considerations and Confusions about the Regulatory Focus Theory and a Future Agenda for Researchers in Marketing

Merdin-Uygur¹

2017

BU Journal

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“…239-242. 47 Cesario, Higgins, and Scholer, 2008. 48 Higgins, 2012. 49 Higgins, 2012. messages and the work environment set by supervisors should be serious, and the feedback should be in terms of reporting failures.…”

Section: Motivating Workers To Detect Data Anomaliesmentioning

confidence: 99%

Robust and Resilient Logistics Operations in a Degraded Information Environment

Snyder¹,

Bodine-Baron²,

Amouzegar³

et al. 2017

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This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited. Permission is given to duplicate this document for personal use only, as long as it is unaltered and complete. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial use. For information on reprint and linking permissions, please visit www.rand.org/pubs/permissions.The RAND Corporation is a research organization that develops solutions to public policy challenges to help make communities throughout the world safer and more secure, healthier and more prosperous. RAND is nonprofit, nonpartisan, and committed to the public interest.RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.Support RAND Make a tax-deductible charitable contribution at www.rand.org/giving/contribute www.rand.org Library of Congress Cataloging-in-Publication Data is available for this publication. For more information on this publication, visit www.rand.org/t/RR2015Published by the RAND Corporation, Santa Monica, Calif. © Copyright 2017 RAND CorporationR® is a registered trademark.iii Preface Logistics operations depend on accurate information. If acted upon, inaccurate information can cause support operations to work counter to desired outcomes and potentially negatively affect combat operations. Even relatively small errors in support systems can, in some circumstances, have large effects on operations. Yet errors are inevitable, so logistics operations should be robust to errors, whether they are a random occurrence or the result of a deliberate, targeted cyber attack.The U.S. Air Force asked RAND Project AIR FORCE to determine where it is most fruitful to focus effort in making changes to tactics, techniques, and procedures to improve an airman's ability to detect, evaluate, and mitigate significant corruption of logistics data. The goal is to respond to errors in data before they have a significant negative effect on combat operations.This work was completed as part of the fiscal year 2016 project entitled "Logistics Ability to Survive and Operate After Cyber Attack" and was sponsored by the Director of Resource Integration under the Air Force Deputy Chief of Staff, Logistics, Engineering, and Force Protection and co-sponsored by the Director, Logistics, Engineering, and Force Protection, Air Force Global Strike Command. The work was conducted within the Resource Management Program of RAND Project AIR FORCE. It should be of interest to the logistics and operational communities throughout the Air Force. RAND Project AIR FORCERAND Project AIR FORCE (PAF), a division of the RAND Corporation, is the U.S. Air Force's federally funded research and development center for studies and analyses. PAF provides the Air Force with independent analyses of policy alternatives affecting the development, employment, combat readi...

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“…How those different perceptions affect consumer decision making processes can advance current understanding of consumer behavior. Higgins (1998) ;Higgins et al (2001), Molden, Lee and Higgins (2008), Higgins et al (2003), Cesario, Higgins, and Scholer (2008) Figure 1 Scale Development Process Table 2 Promotion and Prevention Focus Definitions…”

Section: Limitations and Future Researchmentioning

confidence: 99%