TY - GEN
T1 - Individuals’ motivations to adopt smart technologies for tourism - discrepancy between initial and post adoption
AU - Li, Yongda
PY - 2017
Y1 - 2017
N2 - This study examines individuals’ motivations to adopt smart technologies for tourism. We employed a case study using a qualitative approach. The results demonstrate that the factors influencing individuals’ initial and post adoption differ significantly. For initial use, intrinsic motivation to know was the most important factor. Introjected regulation was the next most influential factor. Capacity-efforts belief was the most powerful amotivational factor hindering initial adoption. For the post adoption of a smart technology, the results indicates that individuals’ extrinsic motivation (external regulation) was most influential, followed by intrinsic motivations (i.e., intrinsic motivation to know and intrinsic motivation toward accomplishments), which are also vital in predicting post adoption. The results suggest that users valued pleasure and satisfaction from exploring and learning to use a new technology and users were most concerned about practicality in the prolonged use. This research is a starting point for academia and industry to analyze individuals’ diverse motivations regarding smart technology.
AB - This study examines individuals’ motivations to adopt smart technologies for tourism. We employed a case study using a qualitative approach. The results demonstrate that the factors influencing individuals’ initial and post adoption differ significantly. For initial use, intrinsic motivation to know was the most important factor. Introjected regulation was the next most influential factor. Capacity-efforts belief was the most powerful amotivational factor hindering initial adoption. For the post adoption of a smart technology, the results indicates that individuals’ extrinsic motivation (external regulation) was most influential, followed by intrinsic motivations (i.e., intrinsic motivation to know and intrinsic motivation toward accomplishments), which are also vital in predicting post adoption. The results suggest that users valued pleasure and satisfaction from exploring and learning to use a new technology and users were most concerned about practicality in the prolonged use. This research is a starting point for academia and industry to analyze individuals’ diverse motivations regarding smart technology.
KW - Extrinsic motivation
KW - Hierarchical model of intrinsic and extrinsic motivation
KW - Intrinsic motivation
KW - Smart technology
KW - Technology adoption
UR - http://www.scopus.com/inward/record.url?scp=85024368638&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85024368638&origin=recordpage
U2 - 10.1007/978-3-319-58697-7_6
DO - 10.1007/978-3-319-58697-7_6
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 978-3-319-58696-0
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 77
EP - 92
BT - Distributed, Ambient and Pervasive Interactions
A2 - Streitz, Norbert
A2 - Markopoulos, Panos
PB - Springer International Publishing
T2 - 5th International Conference on Distributed, Ambient and Pervasive Interactions, DAPI 2017, held as part of the 19th International Conference on Human-Computer Interaction, HCI 2017
Y2 - 9 July 2017 through 14 July 2017
ER -
