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Access-­‐Based Consump0on: A Choice-­‐Based Conjoint Analysis for Determining Consumer Mo0ves for (not) Engaging in Car Sharing

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Access-­‐Based  Consump0on:  A  Choice-­‐Based  Conjoint  

Analysis  for  Determining  Consumer  Mo0ves  for  (not)  

Engaging  in  Car  Sharing    

(2)

Introduc1on  (1)  

›  In  the  past  consumers  à  desire  to  own  products

 (Richins  1994;  Kleine,  Kleine  &  Allen  1995;  Durgee  &  

O’Connor  1995).  

›  ShiN  from  ownership  to  sharing  

(Bardhi  &  Eckhardt  2012)

:  

• 

Sharing  prominent  role  in  consumer  lives  

(Belk  2007;  Belk  2010)

.  

• 

Consumers  use  access-­‐based  services  

(Chen  2009)

.  

›  Theore0cal  Relevance:  

• 

LiWle  research  conducted  to  preferences  access-­‐based  consump1on  

(Belk  2010;  Bardhi  &  Eckhardt  2012).  

• 

(Tradi1onal)  theories  should  be  tested  in  this  context  

(Lovelock  &  Gummesson  2004;  Chen  2009)

.  

• 

Consumer  preferences  car  sharing  under-­‐inves1gated  

(Hildebrandt  et  al.  2015)

.  

 

›  Prac0cal  Relevance:    

• 

Europe  à  car  sharing  usage  low  

(Shaheen  &  Cohen  2013;  Ornetzeder  &  Rohracher  2013)

.  

• 

The  Netherlands  à  barely  use  of  car  sharing  

(Moeskops  2015)

.      

(3)

Introduction (2)

 

›  Research  Ques0ons:  

“To  what  extent  do  car  sharing  a2ributes  have  an  impact  on  consumers  their  (un-­‐)willingness  to  

engage  in  car  sharing?”  

 

“To  what  extent  could  differences  with  regard  to  consumers  their  (un-­‐)willingness  to  engage  in  car  

sharing  be  explained  by  contagion,  environmental  concern,  consumer  materialism  and  need  for  

status?”  

(4)
(5)

Methodology

›  Choice-­‐Based  Conjoint  Analysis:  

• 

Aggregate  Logit  Analysis  

• 

Hierarchical  Bayes  Analysis  

›  AWributes  and  Levels:    

(6)
(7)

Results Main Effects

31-­‐01-­‐2017   | 7   -1,5 -1 -0,5 0 0,5 1 1,5 Mer cedes Ford K ia € 4 € 8 € 12 E le ct ric c ar H yb rid c ar C on ve n tio n al fu el c ar N o-r es er va tio n Sho rt -t er m R es er va tio n L on g-t er m R es er va tio n F ix ed St at io n M u lt ip le St at io n A n yw he re in c it y

Car brand (8,25%) Price per hour (35,61%) Drive train (10,95%) Reservation (20,46%) Vehicle Station System (24,73%)

Uti

li

ty

Preference Estimates Main Effects

Aggregate Logit Model

(8)
(9)

Managerial Implications

›  Ideal product:

•  Prestige car brand

•  Price of €4 per hour

•  Electric car

•  No reservation

•  Take and leave anywhere in city

›  Absolute willingness to pay: €8 per hour

›  Consumers differ with regard to preferences

›  Environmental concern, males, car sharing knowledge, car involvement

•  More likely engage in car sharing

•  Might focus on these consumers

(10)

Limitations and Further Research

›  Conjoint analysis à drawbacks

•  Results different real market experience.

›  Only car sharing as application access-based consumption

•  Reduced generalizability

›  Data sample (n=208) small

›  Only uses one car brand per car brand category

›  Ignores some components cost structure

›  Not use existing consumer-to-product contagion scale

›  Not use a scale of possessiveness

(11)

31-­‐01-­‐2017   | 11  

Thank  you  for  your  aWen1on!  

 

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