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The effects of dining atmospherics on
behavioral intentions through quality
perception
Presenter: Anne Chen
Advisors: Dr. Meng-Jang Lin
Dr. Wan-Ching Chen
Instructor: Dr. Pi-Ying Teresa Hsu
Date: October 14, 2013 1
Citation
Ha, J., & Jang, S. (2012). The effects of dining
atmospherics on behavioral intentions through
quality perception. Journal of Services
Marketing, 26(3), 204-215.
2
Contents
Introduction
Literature Review
Methodology
Result & Conclusion
Limitation
My Future Study
Ⅰ
Ⅱ
Ⅲ
Ⅳ
Ⅴ
Ⅵ
3
Introduction
Food and service can be considered the
most critical components for customers
to determine satisfaction and future
behaviors toward a restaurant.
4
5
Introduction
Atmospherics play an important role
in future behaviors, such as spreading
positive things or repurchase intention.
(Countryman & Jang, 2006;
Jang & Namkung, 2009)
Purpose
To identify how the perception of atmospherics
in a restaurant setting influences customer
perceptions of service quality and food quality
The extent to which quality perception
mediates the relationship between perception of
atmospherics and customer behavioral
intentions
6
Literature Review
7
Literature Review
Environmental components in the service
context can assist customers in evaluating
service quality.
(Carbone & Haeckel, 1994)
H1. Perception of atmospherics
positively influences perception
of service quality.
8
Literature Review
Food quality and food variety during the
dining experience as the most influential
factors of customer loyalty.
(Clark, 1998 ; Wood, 1999)
H2. Perception of atmospherics
positively influences perception
of food quality.
9
Literature Review
Environmental factors directly influence
behavioral intentions in a study examining the
effects of a restaurant’s physical environment.
(Ryu & Jang, 2008)
H3. Perception of atmospherics
positively influences behavioral
intentions.
10
Literature Review
Service quality and food quality, significantly
influence customer behaviors in restaurant
settings.
(Bell et al., 2005)
H4. Service quality positively
influences behavioral intentions.
H5. Food quality positively
influences behavioral intentions.
11
Literature Review
Atmospherics are a predictor of behavioral
intentions as well as a significant indicator for
perceived quality.
(Ryu & Jang, 2007;
Reimer & Kuehn, 2005)
12
H6. The relationship between perception of
atmospherics and behavioral intentions
is mediated by service quality.
H7. The relationship between perception of
atmospherics and behavioral intentions
is mediated by food quality.
Literature Review
13
Methodology
14
Methodology
Panel members of
Online marketing
research company in
the US
Korean restaurants
business in the US
Structural equation
modeling (SEM)
3000 panel members
607 usable response
Method
15
16
Online marketing research company
Construct Measurement items
Atmospherics The interior design of the restaurant made me feel
Korean culture
The Korean music played in the restaurant entertained
me
The layout and facility aesthetics of the Korean
restaurant were somewhat different from those of the
western restaurant, so they were fun to me
Service quality The Korean restaurant serves your food exactly as you
ordered it
The Korean restaurant provides prompt and quick
service
The Korean restaurant has employees who can answer
your questions completely
Questionnaire - Constructs and measurement items
17
Questionnaire - Constructs and measurement items
Construct Measurement items
Food quality The food I had were tasty, so I enjoyed
Food portion in the Korean restaurant was
enough, satisfying my hunger
I liked a variety of menu choices in the Korean
restaurant
I liked healthy food options in the Korean
restaurant
Behavioral Intentions I would like to dine out in this Korean restaurant
again
I would like to spread positive things about this
Korean restaurant to others
I would like to recommend this Korean
restaurant to others
18
Seven-point Liker-type scale
(1=strongly disagree and 7= strongly agree)
Result
19
Construct Items (Label)
Standardized
loadings
Cronbach’s
alpha AVE
Atmospherics Interior design (AT-1)
Music (AT-2)
Layout (AT-3)
0.80
0.58
0.83
0.83 0.56
Service quality Service reliability (SQ-1)
Service responsiveness (SQ-2)
Service assurance (SQ-3)
0.87
0.80
0.69
0.84 0.62
Food quality Taste (FQ-1)
Food portion (FQ-2)
Menu variety (FQ-3)
Healthy food option (FQ-4)
0.91
0.83
0.81
0.69
0.89 0.66
Behavioral
intentions
Revisit intent (B1-1)
Positive word of mouth (B1-2)
Willingness to recommend (B1-3)
0.93
0.93
0.96
0.94 0.89
Notes: Model fit indices: Chi-square=180.598, df=59, Chi-square/df=3.061, NFI=0.974,
TLI=0.973, CFI=0.982, RMSEA=0.058; AVE: Average variance extracted
Table I Results of confirmatory factor analysis
0.5↑ 0.7↑ 0.5↑
20
21
H1. Perception of atmospherics positively influences perception
of service quality.
H2. Perception of atmospherics positively influences perception
of food quality.
H3. Perception of atmospherics positively influences behavioral
intentions.
H4. Service quality positively influences behavioral intentions.
H5. Food quality positively influences behavioral intentions.
Hypotheses
Hypothesized path Standardized
coefficients
t
Result for
hypothesis
H1: Atmospherics → Service
quality (βa-s)
0.51 10.067*** Supported
H2: Atmospherics → Food
quality (βa-f)
0.49 9.301*** Supported
H3: Atmospherics → Behavioral
intentions (βa-b)
0.09 2.273* Supported
H4: Service quality →
Behavioral intentions (βs-b)
0.30 5.696*** Supported
H5: Food quality → Behavioral
intentions (βf-b)
0.51 9.106*** Supported
Notes: X2=157.83; df=50; p=0.000; NFI=0.976; TLI=0.974; CFI=0.983;
RMSEA=0.060; *p<0.05; **p<0.01; ***p<0.001
Table II Results of the structural model
22
23
Hypotheses
H6. The relationship between perception of
atmospherics and behavioral intentions is
mediated by service quality.
H7. The relationship between perception of
atmospherics and behavioral intentions is
mediated by food quality.
Model Path coefficient X2 df
Constrained model
γa-b=0.86*** 383.88 52
Mediating model
βa-b=0.09* 157.83 50
Notes: △X2=226.05; △df=2; p<0.01; *p<0.05; **p<0.01; ***p<0.001
Table III The mediating effect of service quality and food quality
H6 and H7 were supported
24
25
Predictors Standardized coefficients t p-value
Intercept 22.936 0.000
Interior design 0.217 0.878*** 0.000
Korean music 0.022 0.0441 0.659
Layout 0.224 4.449*** 0.000
Notes: F=42.270; R2=0.174; Adjusted R2=0.170; *p<0.05; **p<0.01;
***p<0.001
Table IV The effects of perceived atmospherics on service quality
26
Predictors Standardized coefficients t p-value
Intercept 24.569 0.000
Interior design 0.176 3.173** 0.002
Korean music 0.046 0.944 0.346
Layout 0.270 5.423*** 0.000
Notes: F=47.928; R2=0.193; Adjusted R2=0.189; *p<0.05; **p<0.01;
***p<0.001
Table V The effect of perceived atmospherics on food quality
27
Predictors Standardized coefficients t p-value
Intercept 18.491*** 0.000
Interior design 0.231 4.137*** 0.000
Korean music -0.007 -0.146 0.884
Layout 0.241 4.810*** 0.000
Notes: F=44.479; R2=0.181; Adjusted R2=0.177; *p<0.05; **p<0.01;
***p<0.001
Table VI The effect of perceived atmospherics on behavioral
intentions
Conclusion
28
Conclusion
The main findings indicated that
atmospherics could influence behavioral
intentions in both direct and indirect
ways through quality perception.
29
Limitation
30
Limitation
This study used a web-based survey, so the
respondents largely relied on their memory
to respond to the survey questions, which
might cause memory bias.
Applications of the findings are limited to
Korean restaurant management and casual
dining restaurants.
31
Limitation
The items for atmospherics were general,
specific environmental arrangements could
not be suggested in this study.
32
My future study
33
My Future Study
Variable
Atmosphere
Word-of-mouth
Perceived value
Behavioral intention
Participants 500 customers
Standing nearby places
Locations
Princess Annie's Garden
Moncoeur
Lavender Cottage
Instrument
Questionnaire
Atmosphere items by Cheng (2012)
Word-of-mouth items by Huang (2011)
Perceived value items by Chen et al. (2012)
Behavioral intention items by Chen (2011)
Data Analysis Regression analysis
Duration 3 months (January – March 2014)
34
Thank you for listening.
35

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10122607 陳俐君 (the effects of dining atmospherics on behavioral intentions through quality perception)

  • 1. The effects of dining atmospherics on behavioral intentions through quality perception Presenter: Anne Chen Advisors: Dr. Meng-Jang Lin Dr. Wan-Ching Chen Instructor: Dr. Pi-Ying Teresa Hsu Date: October 14, 2013 1
  • 2. Citation Ha, J., & Jang, S. (2012). The effects of dining atmospherics on behavioral intentions through quality perception. Journal of Services Marketing, 26(3), 204-215. 2
  • 3. Contents Introduction Literature Review Methodology Result & Conclusion Limitation My Future Study Ⅰ Ⅱ Ⅲ Ⅳ Ⅴ Ⅵ 3
  • 4. Introduction Food and service can be considered the most critical components for customers to determine satisfaction and future behaviors toward a restaurant. 4
  • 5. 5 Introduction Atmospherics play an important role in future behaviors, such as spreading positive things or repurchase intention. (Countryman & Jang, 2006; Jang & Namkung, 2009)
  • 6. Purpose To identify how the perception of atmospherics in a restaurant setting influences customer perceptions of service quality and food quality The extent to which quality perception mediates the relationship between perception of atmospherics and customer behavioral intentions 6
  • 8. Literature Review Environmental components in the service context can assist customers in evaluating service quality. (Carbone & Haeckel, 1994) H1. Perception of atmospherics positively influences perception of service quality. 8
  • 9. Literature Review Food quality and food variety during the dining experience as the most influential factors of customer loyalty. (Clark, 1998 ; Wood, 1999) H2. Perception of atmospherics positively influences perception of food quality. 9
  • 10. Literature Review Environmental factors directly influence behavioral intentions in a study examining the effects of a restaurant’s physical environment. (Ryu & Jang, 2008) H3. Perception of atmospherics positively influences behavioral intentions. 10
  • 11. Literature Review Service quality and food quality, significantly influence customer behaviors in restaurant settings. (Bell et al., 2005) H4. Service quality positively influences behavioral intentions. H5. Food quality positively influences behavioral intentions. 11
  • 12. Literature Review Atmospherics are a predictor of behavioral intentions as well as a significant indicator for perceived quality. (Ryu & Jang, 2007; Reimer & Kuehn, 2005) 12
  • 13. H6. The relationship between perception of atmospherics and behavioral intentions is mediated by service quality. H7. The relationship between perception of atmospherics and behavioral intentions is mediated by food quality. Literature Review 13
  • 15. Methodology Panel members of Online marketing research company in the US Korean restaurants business in the US Structural equation modeling (SEM) 3000 panel members 607 usable response Method 15
  • 17. Construct Measurement items Atmospherics The interior design of the restaurant made me feel Korean culture The Korean music played in the restaurant entertained me The layout and facility aesthetics of the Korean restaurant were somewhat different from those of the western restaurant, so they were fun to me Service quality The Korean restaurant serves your food exactly as you ordered it The Korean restaurant provides prompt and quick service The Korean restaurant has employees who can answer your questions completely Questionnaire - Constructs and measurement items 17
  • 18. Questionnaire - Constructs and measurement items Construct Measurement items Food quality The food I had were tasty, so I enjoyed Food portion in the Korean restaurant was enough, satisfying my hunger I liked a variety of menu choices in the Korean restaurant I liked healthy food options in the Korean restaurant Behavioral Intentions I would like to dine out in this Korean restaurant again I would like to spread positive things about this Korean restaurant to others I would like to recommend this Korean restaurant to others 18 Seven-point Liker-type scale (1=strongly disagree and 7= strongly agree)
  • 20. Construct Items (Label) Standardized loadings Cronbach’s alpha AVE Atmospherics Interior design (AT-1) Music (AT-2) Layout (AT-3) 0.80 0.58 0.83 0.83 0.56 Service quality Service reliability (SQ-1) Service responsiveness (SQ-2) Service assurance (SQ-3) 0.87 0.80 0.69 0.84 0.62 Food quality Taste (FQ-1) Food portion (FQ-2) Menu variety (FQ-3) Healthy food option (FQ-4) 0.91 0.83 0.81 0.69 0.89 0.66 Behavioral intentions Revisit intent (B1-1) Positive word of mouth (B1-2) Willingness to recommend (B1-3) 0.93 0.93 0.96 0.94 0.89 Notes: Model fit indices: Chi-square=180.598, df=59, Chi-square/df=3.061, NFI=0.974, TLI=0.973, CFI=0.982, RMSEA=0.058; AVE: Average variance extracted Table I Results of confirmatory factor analysis 0.5↑ 0.7↑ 0.5↑ 20
  • 21. 21 H1. Perception of atmospherics positively influences perception of service quality. H2. Perception of atmospherics positively influences perception of food quality. H3. Perception of atmospherics positively influences behavioral intentions. H4. Service quality positively influences behavioral intentions. H5. Food quality positively influences behavioral intentions. Hypotheses
  • 22. Hypothesized path Standardized coefficients t Result for hypothesis H1: Atmospherics → Service quality (βa-s) 0.51 10.067*** Supported H2: Atmospherics → Food quality (βa-f) 0.49 9.301*** Supported H3: Atmospherics → Behavioral intentions (βa-b) 0.09 2.273* Supported H4: Service quality → Behavioral intentions (βs-b) 0.30 5.696*** Supported H5: Food quality → Behavioral intentions (βf-b) 0.51 9.106*** Supported Notes: X2=157.83; df=50; p=0.000; NFI=0.976; TLI=0.974; CFI=0.983; RMSEA=0.060; *p<0.05; **p<0.01; ***p<0.001 Table II Results of the structural model 22
  • 23. 23 Hypotheses H6. The relationship between perception of atmospherics and behavioral intentions is mediated by service quality. H7. The relationship between perception of atmospherics and behavioral intentions is mediated by food quality.
  • 24. Model Path coefficient X2 df Constrained model γa-b=0.86*** 383.88 52 Mediating model βa-b=0.09* 157.83 50 Notes: △X2=226.05; △df=2; p<0.01; *p<0.05; **p<0.01; ***p<0.001 Table III The mediating effect of service quality and food quality H6 and H7 were supported 24
  • 25. 25 Predictors Standardized coefficients t p-value Intercept 22.936 0.000 Interior design 0.217 0.878*** 0.000 Korean music 0.022 0.0441 0.659 Layout 0.224 4.449*** 0.000 Notes: F=42.270; R2=0.174; Adjusted R2=0.170; *p<0.05; **p<0.01; ***p<0.001 Table IV The effects of perceived atmospherics on service quality
  • 26. 26 Predictors Standardized coefficients t p-value Intercept 24.569 0.000 Interior design 0.176 3.173** 0.002 Korean music 0.046 0.944 0.346 Layout 0.270 5.423*** 0.000 Notes: F=47.928; R2=0.193; Adjusted R2=0.189; *p<0.05; **p<0.01; ***p<0.001 Table V The effect of perceived atmospherics on food quality
  • 27. 27 Predictors Standardized coefficients t p-value Intercept 18.491*** 0.000 Interior design 0.231 4.137*** 0.000 Korean music -0.007 -0.146 0.884 Layout 0.241 4.810*** 0.000 Notes: F=44.479; R2=0.181; Adjusted R2=0.177; *p<0.05; **p<0.01; ***p<0.001 Table VI The effect of perceived atmospherics on behavioral intentions
  • 29. Conclusion The main findings indicated that atmospherics could influence behavioral intentions in both direct and indirect ways through quality perception. 29
  • 31. Limitation This study used a web-based survey, so the respondents largely relied on their memory to respond to the survey questions, which might cause memory bias. Applications of the findings are limited to Korean restaurant management and casual dining restaurants. 31
  • 32. Limitation The items for atmospherics were general, specific environmental arrangements could not be suggested in this study. 32
  • 34. My Future Study Variable Atmosphere Word-of-mouth Perceived value Behavioral intention Participants 500 customers Standing nearby places Locations Princess Annie's Garden Moncoeur Lavender Cottage Instrument Questionnaire Atmosphere items by Cheng (2012) Word-of-mouth items by Huang (2011) Perceived value items by Chen et al. (2012) Behavioral intention items by Chen (2011) Data Analysis Regression analysis Duration 3 months (January – March 2014) 34
  • 35. Thank you for listening. 35