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The Influence of The Influence of Pre-Existing Negative Pre-Existing Negative Affect Affect on Store on Store Purchase Intentions Purchase Intentions Presenter Presenter Radium Cheng Radium Cheng Instructor Instructor Dr. Teresa Hsu Dr. Teresa Hsu

The influence of pre existing negative affect on store v3

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Page 1: The influence of pre existing negative affect on store v3

The Influence of The Influence of Pre-Existing NegativePre-Existing Negative AffectAffect on Store on Store Purchase IntentionsPurchase Intentions

PresenterPresenter :: Radium ChengRadium ChengInstructorInstructor :: Dr. Teresa HsuDr. Teresa Hsu

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CitationCitation

Mano, H. (1999). The Influence of Pre-Existing Negative Affect on Store Purchase Intentions. Journal of Retailing, 75(2), 149-172.

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ContentsContents

IntroductionI

Literature ReviewII

MethodologyIII

ResultsIV

DiscussionV

LimitationVI

ReflectionVII3

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IntroductionIntroduction

Background

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People shop not only because they need to buy but also because they may enjoy shopping.

Managers have planned their store’s atmospheric impact using environment and social elements to improve customer’s emotions.

Mood improvements lead to a host of desired behavior, including higher wiliness to purchase, longer stays, or enhanced satisfaction.

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IntroductionIntroduction

The Purpose of Study

Negative Affect

DistressBoredom

PurchaseIntention

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IntroductionIntroduction

Research Questions

1. Do we seek shopping in order to improve our moods?

2. Can pre-existing emotions influence purchase intentions?

3. Can negative pre-existing emotions influence these intentions?

4. Are we more likely to want to shop if we are in a negative emotional state? (say, bored, sad, or distressed)

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Literature ReviewLiterature Review

A consumer entering an environment bored or upset is likely to respond differently than a relaxed or elated consumer. (Gardner & Bitner, 1985; 1992)

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Literature ReviewLiterature Review

This study relies on Lazarus’ (1991) model of goal directed emotion-focused and problem-focused coping.

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EnvironmentEnvironmentIndividualIndividual

Psychological StressPsychological Stress

Cognitive Process

Coping Process

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Literature ReviewLiterature Review

Hypotheses

H1:

H2:

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Higher distress will increase purchase intentions.

More bored subjects will have higher purchase intentions in favorable environments but lower purchase intentions in unfavorable environments.

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Literature ReviewLiterature Review

Hypotheses

H3:

H4:

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Boredom will accentuate the effects of involvement and quality of experience on purchase intentions.

Contemplating shopping in a good environment will improve emotions while contemplating shopping in a bad environment will worsen them.

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MethodologyMethodology

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Participant 151 undergraduates

Procedure

Pre-task affect measurement

An experimentally manipulated shopping scenario

Elicitation of the dependent variable

Post-task affect measurement

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MethodologyMethodology

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Statistical Analyses

Hypothesis 1

Hypothesis 2

Hypothesis 3

An Analysis of Variance Purchase

Intention

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MethodologyMethodology

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Statistical Analyses

The two Affect scales

Measure

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MethodologyMethodology

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Table 1Key Multi-item Measure Statistics

Scale First Factor Explained

Variance (%)

First Factor Lowest Loading Alpha

Boredom 57 .58 .84

Distress-NA 46 .50 .87

Pleasantness 57 .71 .78

Calmness 54 .68 .81

Elation-PA 46 .64 .86

Purchase Intentions 83 .85 .94

Involvement 68 .74 .89

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MethodologyMethodology

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Affect Participants indicated on 5-point items. (Based on Mano, 1991)

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MethodologyMethodology

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Purchase Intentions The scale was measured with 5 seven-point items. (Following Swinyard, 1993)

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MethodologyMethodology

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Involvement (Manipulation check) Involvement with the shopping experience was assessed

with semantic-differential Value scale. (Mano and Oliver, 1993)

Relevant Important Valuable

Matter to me Significant Of concern to me

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ResultsResults

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Table 2

a coefficient significant at p < .10; b coefficient significant at p < .05; c coefficient significant at p < .0005; d coefficient significant at p < .0001

Simple Correlation Coefficients between Boredom and Purchase Intentions for Each of the 4 Experimental Cells

Low Involvement High Involvement Total

Bad Experience -.16 -.29b -.21a

Good Experience .28b .54d .38c

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ResultsResults

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Figure 2

Pur

chas

e In

tent

ions

Experience Quality

Less Bore More Bored

Experience Quality

Pur

chas

e In

tent

ions

Low Involvement High Involvement

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ResultsResults

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Table 4

a difference between pre- and post-task significant at p < .001; b difference between pre- and post-task significant at p < .0001

Changes in Pleasantness and Calmness from Pre-Task to Post-Task for the Bad and Good Shopping Experiences

Experience Pre-Task Post-Task

Pleasantness Bad 2.65 2.27b

Good 2.70 2.65

Calmness Bad 3.17 2.83a

Good 3.16 3.06

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DiscussionDiscussion

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Affect Shaping Wiliness

Go shoppingStore behavior

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DiscussionDiscussion

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Emotions are complex human responses and the boarder implications of these findings await further study.

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LimitationLimitation

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Naturally-occurring affect is it may confound emotional or motivational tendencies or other personal characteristics that could enhance the inclination to experience positive or negative hedonic tone.

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LimitationLimitation

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A second criticism is the artificiality of the scenarios which could potentially induce demand characteristics.

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ReflectionReflection

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It is necessary in the lab and the store to advance our understanding of the joint consequences of affect, environment, and individual motivations and traits on marketplace behaviors.

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