A model of extended technology acceptance for behavioral intention toward EVs with gender as a moderator

Abstract

Technology has contributed significantly to the adoption of EVs (EVs) in the era of industry 4. 0. However, consumer intentions for EVs have been elusive, and the pace of adoption has been confined. Therefore, this study aims to investigate the influence of external factors in promoting customer behavioral intention for EVs. The study also investigates the mediating role of perceived ease of use (PEU) and perceived usefulness (PU) between external factors and consumer intentions for EVs. It also examined the moderating role of gender on the study variables. A study approach based on the expanded version of the technology acceptance model (TAM) was utilized to analyse data from 203 customers in China. The model was tested using structural equation model (SEM) and multigroup analysis (MGA) techniques. The results indicated that two external factors have a positive relationship with TAM constructs. The results also indicate that PEU and PU have a serial mediating relationship between external factors and behavioral intention. Finally, the study revealed gender-related differences in TAM for EVs. The study's findings help managers to design successful strategies by knowing the external factors impacting customer EV intentions and gender differences. Finally, this is a ground-breaking research that applies TAM to the automobile sector. As a result, examining both new and current factors and evaluating them in a new setting adds to the body of the literature on the adoption of technology.

From theory to practice: An integrated TTF-UTAUT study on electric vehicle adoption behavior

“…The research’s findings offer significant new contributions and ramifications. First, this study emphasises the critical need to broaden our understanding of electric vehicles (EVs), which has primarily relied on a single theoretical framework, in response to a call in the literature [ 4 , 38 ]. The TTF and UTAUT frameworks are combined in this research to offer a fresh viewpoint that enhances the debate on electric vehicles.…”

“…These UTAUT variables’ corresponding items were modified from Abdekhoda et al, (2022). Lastly, four items adapted from Zhang et al, [ 4 ] were used to examine behavioural intention. As indicated by Paulo et al [ 55 ], a 7-point Likert scale was used, with response alternatives that ranged from "1" (strongly disagree) to "7" (strongly agree) [ 61 ].…”

“…These problems have grown in importance throughout the history of economic development, crossing national boundaries and influencing the welfare of all living things [ 2 ]. The use of fossil fuels by industry and the transportation sector is the main contributor to environmental problems [ 3 , 4 ]. Upadhyay and Kamble [ 1 ] argued that manufacturing and energy are not only major contributors to environmental issues but instead transportation sector is also held responsible for this.…”

“…The adoption of electric vehicles (EVs) in earlier academic works was largely influenced by well-established paradigms of conventional technology adoption theories, such as the UTAUT and the “Technology Acceptance Model” (TAM), which were highlighted by Zhang et al [ 4 ], the “Stimulus-Organism-Response” (SOR) model, which was investigated by Upadhyay and Kamble [ 1 ], and the Theory of Planned. Nevertheless, Upadhyay and Kamble [ 1 ] emphasise, that recent literature shows a change in thinking, with academics increasingly supporting different theories, views, and frameworks to clarify the dynamics of technology adoption within the EV sector.…”

Assessing factors determining people’s decision to adopt electric motorcycles (EMs) through the lens of the technology acceptance model (TAM)

“…Meanwhile, another study by Ahmad et al (2020) and Katebi et al (2022) used the TAM framework to predict intention within the context of health and construction respectively. Moreover, several previous studies that had been performed to explain people's behavior to use or adopt electric vehicles (EVs) using the general framework of TAM tend to explain factors that could motivate people's intention to use electric vehicles (EVs) in general without attempting to specify which kind of electric vehicles (either electric motorcycles of electric cars) that people want to adopt or use (Jaiswal et al, 2021;Ngoc et al, 2023;Yankun, 2020;Zhang et al, 2022). In this case, electric motorcycles (RMs) were specifically chosen as the object of this study, because the number of motorcycles users in Indonesia tends to gradually increase on an annual basis.…”