Predicting the Factors to Artificial Intelligence in Peer-to-Peer Energy Sharing Service Adoption Intention: A Structural Equation Model Assessment
2024 9th International Conference on Business and Industrial Research (ICBIR)
(2024), pp. 0841-0846
Alexander A. Hernandez
a
,
Victor James C. Escolano
b
,
Muhammad Syukur
c
,
Ace C. Lagman
d
,
Roland A. Calderon
e
,
Rossana T. Adao
d
a College of Technology, Lyceum of the Philippines University, Manila, Philippines
b College of Liberal Arts, Technological University of the Philippines, Manila, Philippines
c Sustainability and Entrepreneurship Research Center, Mae Fah Luang University, Chiang Rai, Thailand
d College of Computer Studies and Multimedia Arts, FEU Institute of Technology, Manila, Philippines
e College of Industrial Technology Southern, Luzon State University Lucena Campus, Quezon, Philippines
Abstract: Energy consumption significantly increased in recent decades, notably at the household level, due to economic development, rising population, and technological advancements. To address this sustainability concern, peer-to-peer energy sharing service (P2PESS) is introduced as a solution to household level energy needs. However, P2PESS has yet to be fully explored in terms of development and adoption. As such, this study attempts to provide an understanding of the adoption intention on artificial intelligence (AI) in P2PESS a developing country. This study is realized by developing an extended adoption intention model analyzed through partial-least squares - structural equation modeling (PLS-SEM). Results show that attitude is the most significant predictor of AI in P2PESS adoption intention. This study also reveals that the trust dimension has the strongest effect on attitude, while attitude toward use has the strongest effect on behavioral intention. Also, this study confirms ease of use and usefulness as critical factors in adoption intention. Meanwhile, AI-anxiety is the least significant predictor in the model. Finally, this study is the first evidence of AI in P2PESS adoption intention from the perspective of household level users.