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THE INFLUENCE OF VIRTUAL TRY-ON  ON RESPONSES TOWARD THE WEBSITE  Aurélie Merle , Grenoble Ecole de Management, France Sylvain Senecal , HEC Montréal, RBC Chair of e-commerce, Canada  Anik St-Onge , UQAM, Canada
1. Context & objectives >  Difficulty to find out how something fits without trying it  (Rosa et al. 2006 ) Only 5.6%  of apparel sold online  1st semester  2009  (Emarketer 2010)  Work on how to increase online hedonic value  1. Context & objectives 2.  Hypotheses 3.  Methodology 4. Results and discussion 5. Limitations
1. Context & objectives >  Virtual Try-On   ( Nantel 2004, Kim & Forsythe 2008)   Virtual experiences and   Image Interactivity Technologies (IIT  -  Fiore, Jin et Kim 2005) 3D visualization ( Daugherty et al.2008; Li et al.  2002; Schlosser 2003)   Mix-and-Match technology ( Fiore et Jin 2003;  Fiore et al. 2005a, 2005b)   Product rotation (Park et al. 2008) 1. Context & objectives 2.  Hypotheses 3.  Methodology 4. Results and discussion 5. Limitations
1. Context & objectives >  ,[object Object],   Comparison  / 2D-3D views, rotation  (Fiore et al. 2005; Kim & Forsythe 2008b) ,[object Object],[object Object],[object Object],Virtual Try-On   ( Nantel 2004, Kim & Forsythe 2008)   1. Context & objectives 2.  Hypotheses 3.  Methodology 4. Results and discussion 5. Limitations
1. Context & objectives >  Understand  whether  and  by which process  using  Virtual Try-On (VTO) might influence responses  toward an apparel website ,[object Object],[object Object],[object Object],1. Context & objectives 2.  Hypotheses 3.  Methodology 4. Results and discussion 5. Limitations
2. Conceptual framework and hypotheses >  VTO might influence cognitive, affective, and conative responses toward the website  (Fiore et al. 2005, Khakimdjanova & Park 2005, Kim & Forsythe 2009) Way to overcome online hesitancy by reducing perceived risks (Fiore, Jin et Kim, 2005;  Rosa, Garbarino et Malter, 2006).  Mix-and-Match  Virtual Try-On Confidence in apparel fit Utilitarian value Hedonic value Purchase intention a b c d H 1 ,[object Object],1. Context & objectives 2.  Hypotheses 3.  Methodology 4. Results and discussion 5. Limitations
2. Conceptual framework and hypotheses >  Personalized  Virtual Try-On a b c d H 2 Confidence in apparel fit Utilitarian value Hedonic value Purchase intention Non personalized  Virtual Try-On ,[object Object],1. Context & objectives 2.  Hypotheses 3.  Methodology 4. Results and discussion 5. Limitations
>  H 3 Self-Congruity Confidence  in apparel fit H 4 ,[object Object],Hedonic value 2. Conceptual framework and hypotheses H 5 Utilitarian value Confidence  in apparel fit 1. Context & objectives 2.  Hypotheses 3.  Methodology 4. Results and discussion 5. Limitations
>  Model self-congruency Hedonic value Utilitarian value Confidence in apparel fit Purchase intention BODY-ESTEEM H6 H7 ,[object Object],1. Context & objectives 2.  Hypotheses 3.  Methodology 4. Results and discussion 5. Limitations H3 H4 H5
3. Methodology >  H1 H2 H5 H4 H3 « Non personalized VTO» (n=37)  « Medium personalized VTO » (n=40)  1. Context & objectives 2.  Hypotheses 3.  Methodology 4. Results and discussion 5. Limitations « Mix-and-Match » (n=36) « High personalized VTO » (n=39)
>  H1 H2 H5 H4 H3 ,[object Object],[object Object],[object Object],[object Object],« Mix-and-Match » (n=36) Non personalized VTO (n=37) Personalized VTO (n=74) ,[object Object],3. Methodology 1. Context & objectives 2.  Hypotheses 3.  Methodology 4. Results and discussion 5. Limitations
4. Results & discussion >  ,[object Object],ns ns ns ns H 1 Mix-and-Match  Virtual Try-On Confidence in apparel fit Utilitarian value Hedonic value Purchase intention 1. Context & objectives 2.  Hypotheses 3.  Methodology 4. Results and discussion 5. Limitations
4. Results & discussion >  ,[object Object],1. Context & objectives 2.  Hypotheses 3.  Methodology 4. Results and discussion 5. Limitations H 2 63,7
>  ,[object Object],[object Object],[object Object],4. Results & discussion ,[object Object],1. Context & objectives 2.  Hypotheses 3.  Methodology 4. Results and discussion 5. Limitations
>  Model self-congruency R 2  = .20 Hedonic value R 2  = .12 Utilitarian value R 2  = .32 Confidence in apparel fit R 2  = .28 Purchase intention R 2  = .66   ,[object Object],. 349  *** . 314  *** . 390  *** . 271  ** . 631  *** . 222  * 4. Results & discussion 1. Context & objectives 2.  Hypotheses 3.  Methodology 4. Results and discussion 5. Limitations p  < .05* ,  p  < .01**,  p  < .001***  Body-esteem .445 *** . 313  **
>  Main role of model self-congruency   be careful with « more technology, the better»!  4. Results & discussion ,[object Object],1. Context & objectives 2.  Hypotheses 3.  Methodology 4. Results and discussion 5. Limitations ,[object Object],[object Object],[object Object],[object Object],Social comparison Social validation
5. Main limitations >  ,[object Object],[object Object],[object Object],1. Context & objectives 2.  Hypotheses 3.  Methodology 4. Results and discussion 5. Limitations
THANK YOU! THE INFLUENCE OF VIRTUAL TRY-ON  ON RESPONSES  TOWARD THE WEBSITE  Aurélie Merle , Grenoble Ecole de Management, France Sylvain Senecal , HEC Montréal, RBC Chair of e-commerce, Canada  Anik St-Onge , UQAM, Canada
Scales >
Scales >
Psychometric qualities of the measurement scales >    Mean  (S.D.) Alpha  Average Variance Extracted Correlation Matrix  (shared variance in parentheses) 1 2 3 4 5 6 7 1. Avatar self-congruency 2.95 (1.40) .886 .818   .203 .197 .151 .216 .173 .151 2. Confidence in Apparel Fit  65.88 (16.71) .816 .646 .450   .238 .220 .147 .255 .292 3. Utilitarian Value  3.38 (1.26) .811 .725 .444 .488   .521 .050 .598 .612 4. Hedonic value 3.65 (1.36) .810 .708 .388 .469 .722   .032 .579 .450 5. Body-Esteem 4.58 (1.33) .813 .724 .465 .384 .223 .180   .024 .013 6. Satisfaction toward the experience 3.78 (1.46) .841 .841 .416 .505 .773 .761 .154   .527 7. Buying Intentions 3.81 (1.78) .892 .839 .389 .540 .782 .671 .113 .726  
>  ns + ns ns H 2 4. Results & discussion Personalized  Virtual Try-On Non personalized  Virtual Try-On Confidence in apparel fit Utilitarian value Hedonic value Purchase intention ,[object Object],1. Context & objectives 2.  Hypotheses 3.  Methodology 4. Results and discussion 5. Limitations

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EMAC2011 Virtual Try-on

  • 1. THE INFLUENCE OF VIRTUAL TRY-ON ON RESPONSES TOWARD THE WEBSITE Aurélie Merle , Grenoble Ecole de Management, France Sylvain Senecal , HEC Montréal, RBC Chair of e-commerce, Canada Anik St-Onge , UQAM, Canada
  • 2. 1. Context & objectives > Difficulty to find out how something fits without trying it (Rosa et al. 2006 ) Only 5.6% of apparel sold online 1st semester 2009 (Emarketer 2010) Work on how to increase online hedonic value 1. Context & objectives 2. Hypotheses 3. Methodology 4. Results and discussion 5. Limitations
  • 3. 1. Context & objectives > Virtual Try-On ( Nantel 2004, Kim & Forsythe 2008) Virtual experiences and  Image Interactivity Technologies (IIT - Fiore, Jin et Kim 2005) 3D visualization ( Daugherty et al.2008; Li et al. 2002; Schlosser 2003) Mix-and-Match technology ( Fiore et Jin 2003; Fiore et al. 2005a, 2005b) Product rotation (Park et al. 2008) 1. Context & objectives 2. Hypotheses 3. Methodology 4. Results and discussion 5. Limitations
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10. 3. Methodology > H1 H2 H5 H4 H3 « Non personalized VTO» (n=37) « Medium personalized VTO » (n=40) 1. Context & objectives 2. Hypotheses 3. Methodology 4. Results and discussion 5. Limitations « Mix-and-Match » (n=36) « High personalized VTO » (n=39)
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18. THANK YOU! THE INFLUENCE OF VIRTUAL TRY-ON ON RESPONSES TOWARD THE WEBSITE Aurélie Merle , Grenoble Ecole de Management, France Sylvain Senecal , HEC Montréal, RBC Chair of e-commerce, Canada Anik St-Onge , UQAM, Canada
  • 21. Psychometric qualities of the measurement scales >   Mean (S.D.) Alpha Average Variance Extracted Correlation Matrix (shared variance in parentheses) 1 2 3 4 5 6 7 1. Avatar self-congruency 2.95 (1.40) .886 .818   .203 .197 .151 .216 .173 .151 2. Confidence in Apparel Fit 65.88 (16.71) .816 .646 .450   .238 .220 .147 .255 .292 3. Utilitarian Value 3.38 (1.26) .811 .725 .444 .488   .521 .050 .598 .612 4. Hedonic value 3.65 (1.36) .810 .708 .388 .469 .722   .032 .579 .450 5. Body-Esteem 4.58 (1.33) .813 .724 .465 .384 .223 .180   .024 .013 6. Satisfaction toward the experience 3.78 (1.46) .841 .841 .416 .505 .773 .761 .154   .527 7. Buying Intentions 3.81 (1.78) .892 .839 .389 .540 .782 .671 .113 .726  
  • 22.

Notes de l'éditeur

  1. Fiore et al (2005) mentione qu’il existe une relation positive entre le niveau d’IIT et la valeur hédonique de l’experience du consommateur sur un site internet.