1. Mobile decision support for in-store purchase decision
授課教授:林娟娟
組員: 吳欲致
許耀坤
管理資訊系統

2. Outline Abstract Introduction Theoretical background Method Results
Discussion

3. Introduction Trend Challenge Increased computing power
Increased more widespread adoption of mobile devices
Increased possibilities of the products themselves to reveal product description data over wireless network
Challenge
Small screen
Large decision matrix

4. Theoretical background
Consideration set
Product attractiveness cue
Hypotheses
Hypotheses 1
The availability of the product attractiveness cue has a positive influence on the quality of the consideration set.
Hypotheses 2
A larger number of product alternatives positively moderates the influence of the product attractiveness cue on consideration set quality.

5. Research model

6. Method
Participants
Context
System
Procedure

7. Method-Participants
48 male, 38 female, mean age=22.1 years, S.D.=2.95

8. Method-Context Where How Store containing digital cameras
Mobile device retrieve data about the digital camera from the barcode

9. Method-System
The mobile device used was an iPaq H3850 Personal Digital Assistant (Hewlett Packard) with an SPS 3000 barcode jacket (Symbol).

10. Method-Procedure Volunteer How to use Filled out pre-experiment survey
During experiment
Put down on the consideration set table were recorded
Result
Decision making time = 7.02min(S.D. =3.2min)

11. Results

12. Discussion
Increased the number of superior alternatives but did not increase or decrease the number of inferior alternatives
Another method to display attractiveness cue
Color
Sound
Etc.

13. Finish