z-logo
open-access-imgOpen Access
Predicting Consumers’ Local Food Attitude with Personal Values and Local Food Online Videos
Author(s) -
Shuyang Qu,
Alexa J. Lamm,
Joy N. Rumble,
Ricky Telg
Publication year - 2018
Publication title -
journal of agricultural education
Language(s) - English
Resource type - Journals
eISSN - 2162-5212
pISSN - 1042-0541
DOI - 10.5032/jae.2018.01171
Subject(s) - value (mathematics) , personal income , personal computer , psychology , marketing , social psychology , advertising , business , economics , economic growth , computer science , machine learning , computer hardware
This study assessed how the personal value associated with local food messages in an online video format influenced U.S. consumers’ attitudes toward local food. To accomplish this, we created two video treatments focusing on how local food supports the local economy and strengthens social connections, respectively. We developed two scales to measure the personal values (personal value of supporting the local economy and personal value of strengthening social connection). These values were associated to the video treatments’ message frames. Descriptive analyses revealed a neutral personal value of supporting local economy and strengthening social connection among U.S. consumers, and a positive attitude toward local food. Multiple regression indicated that the personal value associated with the video treatment was not always a stronger predictor of attitude than the other personal value. In fact, we found that the personal value of supporting the local economy was a more significant predictor of local food attitude than personal value of strengthening social connection in both video treatments.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom