TY - GEN
T1 - Explaining multidimensional Facebook benefits
T2 - 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020
AU - Bravo, Edgardo R.
AU - Bayona, Hugo A.
N1 - Publisher Copyright:
© 2020 IEEE Computer Society. All rights reserved.
PY - 2020
Y1 - 2020
N2 - Facebook has emerged as the most popular Social Network Site (SNS). The literature has studied extensively the factors that explain Facebook usage. Despite this, not equal attention has been devoted to explaining the benefits of this SNS. The few studies have considered impacts as one-dimensional; however, the literature shows that benefits could be conceptualized as a multidimensional construct. Besides, little is known about using the Task-Technology Fit model (TTF) to assess Facebook. In addressing this gap, this study aims to develop and empirically test a model that explains Facebook benefits in a multiple-way using a task-technology fit approach. Data collected from 240 Facebook users, analyzed using partial least squares technique (PLS). The results support the model empirically. This research integrates benefits, use, and task-technology fit into a single model to provide a more comprehensive perspective. Also, a multidimensional view allows us to consider both utilitarian and hedonic benefits as dimensions of value that can spawn greater continued use.
AB - Facebook has emerged as the most popular Social Network Site (SNS). The literature has studied extensively the factors that explain Facebook usage. Despite this, not equal attention has been devoted to explaining the benefits of this SNS. The few studies have considered impacts as one-dimensional; however, the literature shows that benefits could be conceptualized as a multidimensional construct. Besides, little is known about using the Task-Technology Fit model (TTF) to assess Facebook. In addressing this gap, this study aims to develop and empirically test a model that explains Facebook benefits in a multiple-way using a task-technology fit approach. Data collected from 240 Facebook users, analyzed using partial least squares technique (PLS). The results support the model empirically. This research integrates benefits, use, and task-technology fit into a single model to provide a more comprehensive perspective. Also, a multidimensional view allows us to consider both utilitarian and hedonic benefits as dimensions of value that can spawn greater continued use.
UR - https://www.scopus.com/pages/publications/85108178802
M3 - Conference contribution
AN - SCOPUS:85108178802
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 4474
EP - 4482
BT - Proceedings of the 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020
A2 - Bui, Tung X.
PB - IEEE Computer Society
Y2 - 7 January 2020 through 10 January 2020
ER -