Charles D. Lindsey
University at Buffalo
Motor learningPublic policyTechnical peer reviewAdvertisingComparative advertisingFrame (networking)Competitor analysisEvent studyFacilitationProduct (category theory)World Wide WebAttributionBusinessProduct categoryPsychologyActuarial scienceEconomicsMarketingInterference (wave propagation)Framing (social sciences)CognitionSalience (language)Political scienceExtant taxonCognitive psychologyRegulatory focus theoryFinancial marketNew product developmentConsumer economicsElement (criminal law)Class (computer programming)Consumer behaviourConsistency (negotiation)PerceptionScrutinyExposition (narrative)Omission biasFacilitatorSelf-conceptAbnormal returnBrand preferenceWarrantyDemand responseQuality (business)Stock marketImpulsivityTask (project management)PreferenceLearning stylesLearning SchedulesMental modelDisease preventionFood consumptionBrand namesCognitive structureVerbal learningMessage frameOrder effectConsumer demandUnhealthy foodMessage framingExperiential learningAffect (psychology)Public relationsFocus (computing)Computer scienceReputationFalse advertisingMonetary economicsStock (geology)Market pricePromotion (rank)ForgettingSocial psychologyCategorizationTransaction cost
14Publications
7H-index
188Citations
Publications 14
Newest
#1Xiaojing YangH-Index: 1
Last. Frank R. KardesH-Index: 50
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#1Anand Kumar (USF: University of South Florida)H-Index: 23
#2Ali Besharat (DU: University of Denver)H-Index: 8
Last. Shanker Krishnan (IU: Indiana University Bloomington)H-Index: 4
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Existing literature has found two sources of advertising interference, competitive and contextual, that decrease the effectiveness of an ad in a cluttered environment. However, to date, the negative impact of competitive and contextual interference has been examined independently. This research explores advertising effectiveness when these sources exist concurrently. Contrary to the supposition concerning the additive effects of both sources of interference when simultaneously present, our findi...
3 CitationsSource
#1Pragya Mathur (CUNY: City University of New York)H-Index: 7
#2Shailendra Pratap Jain (UW: University of Washington)H-Index: 14
Last. Durairaj Maheswaran (NYU: New York University)H-Index: 30
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This research investigates the effectiveness of health message framing (gain/loss) depending on the nature of advocacy (prevention/detection) and respondents’ implicit theories (entity/incremental). Three experiments demonstrate that for detection advocacies, incremental theorists are more persuaded by loss frames. For prevention advocacies, incremental theorists are more persuaded by gain frames. For both advocacies (detection and prevention), entity theorists are not differentially influenced ...
18 CitationsSource
#1Debabrata Talukdar (UB: University at Buffalo)H-Index: 28
#2Charles D. Lindsey (UB: University at Buffalo)H-Index: 7
Abstract The authors integrate research on impulsivity from the psychology area with standard economic theories of consumer demand to make novel predictions about the effects of market price changes on consumers' food consumption behavior. The results from multiple studies confirm that consumers exhibit undesirable asymmetric patterns of demand sensitivity to price changes for healthy and unhealthy food. For healthy food, demand sensitivity is greater for a price increase than for a price decrea...
46 CitationsSource
#1Arun Lakshmanan (UB: University at Buffalo)H-Index: 7
#2Charles D. Lindsey (UB: University at Buffalo)H-Index: 7
Last. H. Shanker Krishnan (IU: Indiana University)H-Index: 17
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Previous research has shown that spacing of information (over time) leads to better learning of product information. We develop a theoretical framework to describe how massed or spaced learning schedules interact with different learning styles to influence product usage proficiency. The core finding is that with experiential learning, proficiency in a product usage task is better under massed conditions, whereas with verbal learning, spacing works better. This effect is demonstrated for usage pr...
19 CitationsSource
#1Michael A. Wiles (ASU: Arizona State University)H-Index: 6
#2Shailendra Pratap Jain (UW: University of Washington)H-Index: 14
Last. Charles D. Lindsey (SUNY: State University of New York System)H-Index: 7
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Whereas a growing body of research has examined the consumer-related implications of deceptive advertising, the stock market consequences stemming from the regulatory exposure of such infractions remain largely unexplored. In a step to address this gap, the current research examines the effect of regulatory reports of misleading ads on firm stock prices. Results from an event study, focusing on the pharmaceutical industry as the empirical context, show an average abnormal return of -0.91% associ...
29 CitationsSource
#1Manoj ThomasH-Index: 12
#2Charles D. LindseyH-Index: 7
Last. Arun LakshmananH-Index: 7
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#1Shailendra Pratap Jain (IU: Indiana University)H-Index: 14
#2Charles D. Lindsey (UB: University at Buffalo)H-Index: 7
Last. Durairaj Maheswaran (NYU: New York University)H-Index: 30
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Three experiments examine how prevention-focused and promotion-focused consumers evaluate the comparison brand and what information they anchor on in direct comparative ads framed positively or negatively. Negative (vs. positive) frames lead prevention-focused respondents to exhibit higher evaluations for the advertised brand and lower evaluations for the comparison brand. Under promotion focus, positive (vs. negative) frames lead to more favorable attitudes toward the advertised brand with no d...
54 CitationsSource
#1Charles D. Lindsey (UB: University at Buffalo)H-Index: 7
#2H. Shanker KrishnanH-Index: 17
This research examines the effect of brand cues on retrieval of target brands by individuals in collaborative (vs. noncollaborative) settings. We examine two theories, salience of the brand cue and retrieval-strategy disruption, as potential explanations. Two experiments show that brand cues lead to greater inhibition of target brands in a collaborative versus a noncollaborative setting. The theoretical contribution is the exposition of a double-cueing effect of brand cues such that both (a) cue...
7 CitationsSource