Rights statement: This is an Accepted Manuscript of an article published by Taylor & Francis in Behaviour & Information Technology on 09/05/2018, available online: https://www.tandfonline.com/doi/full/10.1080/0144929X.2018.1470254
Accepted author manuscript, 632 KB, PDF document
Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License
Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - A framework for informing consumers on the ecological impact of products at point of sale
AU - Schaeffer, Satu Elisa
AU - Garza, Sara
AU - Espinosa-Ceniceros, Juan Carlos
AU - Urbina-Coronado, S. Cecilia
AU - Nurmi, Petteri Tapio
AU - Cruz-Reyes, Laura
N1 - This is an Accepted Manuscript of an article published by Taylor & Francis in Behaviour & Information Technology on 09/05/2018, available online: https://www.tandfonline.com/doi/full/10.1080/0144929X.2018.1470254
PY - 2018/6
Y1 - 2018/6
N2 - The use of intelligent information technologies has the means to provide ecological information just-in-time, thus alleviating consumers' cognitive burden at the time of purchase. We propose a computational framework for supporting consumer awareness of the ecological impact of products they consider purchasing at point of sale. The proposed framework permits consulting multiple information sources through diverse access interfaces, combined with a recommendation engine to score product greenness. We evaluate our approach in terms of usability, performance, and user-influence tests through two conceptual prototypes: an online store and an augmented reality interface to use at physical stores. Our findings suggest that providing ecological information at the time of purchase is able to direct consumers' preference towards products that are ecological and away from products that are not; consumers also express willingness to pay slightly more for ecological products. The experimental results obtained with the interface prototypes are statistically significant.
AB - The use of intelligent information technologies has the means to provide ecological information just-in-time, thus alleviating consumers' cognitive burden at the time of purchase. We propose a computational framework for supporting consumer awareness of the ecological impact of products they consider purchasing at point of sale. The proposed framework permits consulting multiple information sources through diverse access interfaces, combined with a recommendation engine to score product greenness. We evaluate our approach in terms of usability, performance, and user-influence tests through two conceptual prototypes: an online store and an augmented reality interface to use at physical stores. Our findings suggest that providing ecological information at the time of purchase is able to direct consumers' preference towards products that are ecological and away from products that are not; consumers also express willingness to pay slightly more for ecological products. The experimental results obtained with the interface prototypes are statistically significant.
KW - Ecological impact
KW - consumer decision
KW - augmented reality
KW - recommender systems
U2 - 10.1080/0144929X.2018.1470254
DO - 10.1080/0144929X.2018.1470254
M3 - Journal article
VL - 37
SP - 607
EP - 621
JO - Behaviour and Information Technology
JF - Behaviour and Information Technology
SN - 0144-929X
IS - 6
ER -