A Behavioral Model of Managerial Perspectives Regarding Technology Acceptance in Building Energy Management Systems

Abstract

Abstract:The Building Energy Management System (BEMS), a well-known system that has been implemented in some energy corporations, has become attractive to many companies seeking to better monitor their energy consumption efficiency. This study investigated the external factors that influence acceptance of the BEMS from managerial perspectives. An extended model based on the Technology Acceptance Model (TAM) was created to evaluate the implementation of the BEMS in the manufacturing industries. A structural equation modeling (SEM) approach was used to analyze the model by adopting compatibility, features, technology complexity, and perceived risk as the external variables, and integrating the five dimensions of perceived ease of use, perceived usefulness, attitude, user satisfaction, and behavioral intention. The analysis results indicated that the external factors positively influenced users' behavioral intention to use the BEMS through expected satisfaction, perceived ease of use, and perceived usefulness. Suggestions for BEMS developers are provided as well.

A Pro-Environmental Reasoned Action Model for Measuring Citizens’ Intentions regarding Ecolabel Product Usage

“…An AVE test is the average quantity of variance on observed variables, which describes the variance in a latent construct [5]. The three parameters have been suggested in many SEM analysis studies to have minimum values of 0.7, 0.7, and 0.5, respectively [34][35][36][37][38]. The present research reveals that most of the parameters have surpassed the minimum value, except for PAS1 (PAS1 = 0.59).…”

Investigating Citizen Behavior Intention on Mandatory and Voluntary Pro-Environmental Programs through a Pro-Environmental Planned Behavior Model

“…An AVE test is the average quantity of variance on observed variables, which describes the variance in a latent construct [5,6]. The mentioned parameters have been used in many SEM analysis studies to have threshold values of 0.7, 0.7, 0.7, and 0.5, accordingly [39][40][41][42][43]. This research shows that most of the parameters have surpassed the minimum threshold, except for PBC3 for the EIA program, and PAS1 as well as PBC1 for the ecolabel program.…”

e-Purchase Intention of Taiwanese Consumers: Sustainable Mediation of Perceived Usefulness and Perceived Ease of Use

“…The demographic information of the respondents includes: gender (Female, 59.5%) and age (16)(17)(18)(19)(20)(21)(22)(23)(24)(25)54.1%; 26-45, 45.9%). Regarding the age of online shoppers, up to 94.9% are youngsters from 16 to 35.…”

“…Most authors conduct their studies under separate models of the Big Five Personality Trait Model [24] and Technology Acceptance Model [25] (Figure 1). Previous research has also studied purchase Intention [26].…”