Applying the theory of reasoned action to understanding consumers’ intention to adopt hybrid electric vehicles in Saudi Arabia

Alzahrani, Khalid S.; Hall-Phillips, Adrienne; Zeng, Amy Z.

doi:10.1007/s11116-017-9801-3

Cited by 85 publications

(42 citation statements)

References 36 publications

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“…Thus, EC was found to have significant effects on the purchase intentions to buy EVs. Concurrently, a study from Saudi Arabia [14] applied the theory of reasoned action [41] to explore consumers' intentions to adopt hybrid electric vehicles. Utilizing the SEM approach, they found that EC, subjective norms, and attitudes were significant predictors of behavioral intentions to adopt hybrid electric vehicles.…”

Section: Environmental Concerns (Ec)mentioning

confidence: 99%

“…Following Alzahrani et al [14], the questionnaires were randomly distributed by means of a combination of social media (Instagram, Facebook, and Twitter) and messaging (WhatsApp). The questionnaire remained available in various Lahore-based online social media groups from May 2019 to September 2019.…”

Section: Data Collectionmentioning

confidence: 99%

“…Considering the low market penetration rate of EVs in developing countries, it is essential to explore the public intentions to adopt EVs to develop market strategies of promoting the EVs' penetration. However, most relevant studies have focused on high-income and middleincome countries [4,12,[14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

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Public Intentions to Purchase Electric Vehicles in Pakistan

et al. 2021

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Electric vehicles (EVs) have the potential to lead the transition in road transportation from traditional petroleum mobility to electric mobility. Despite many environmental benefits, the market penetration rate of EVs is still low in most developing countries. Recently, Pakistan formulated its first EV policy for 2020–2025 to accelerate EV adoption. This study aims to explore the factors, including environmental concerns, perceived ease of use, effort expectancy, social influence, and perceived facilitating conditions, affecting individuals’ behavioral intentions to purchase EVs in Pakistan. The hypotheses were developed based on the literature, and an online questionnaire survey was conducted in Lahore, Pakistan, to collect the relevant data. The partial least square path modeling approach of structural equation modeling was used to test the hypothesis. The results confirmed that the environmental concerns, perceived ease of use, and effort expectancy positively affect the public’s intentions to use EVs in the future. However, social influence and facilitating conditions did not significantly contribute to EV adoption in the present study. The findings suggest that the EV manufacturers aiming to accelerate EV adoption should develop marketing strategies to disseminate information regarding the environmental benefits of EVs and enhance clarity about EVs’ performance and usage.

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Section: Environmental Concerns (Ec)mentioning

confidence: 99%

Section: Data Collectionmentioning

confidence: 99%

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Public Intentions to Purchase Electric Vehicles in Pakistan

et al. 2021

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“…In seeking to explain green purchasing behavior, earlier research focused on the structure of ecological concerns, the underlying influencing indicators (demographic, personality, knowledge, values, attitude), and the relationship between ecological concerns and green purchasing behavior [19]. The theory of reasoned action (TRA) [20] and the theory of planned behavior (TPB) [21] are the two prominent theories followed by most of the studies. However, studies have found that environmental attitudes do not always affect purchasing behavior and this phenomenon is generally referred to as the attitude-behavioral gap [22].…”

Section: Green Purchasing Behaviormentioning

confidence: 99%

Proposing a Value Field Model for Predicting Homebuyers’ Purchasing Behavior of Green Residential Buildings: A Case Study in China

Yuan

2019

Sustainability

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Understanding the motivations that stimulate homebuyers’ green purchasing behavior can increase market demand for green products, especially considering the comparably low market share of green products worldwide. In this context, various studies have been conducted examining consumers’ intentions to pay for green products. Nevertheless, there is still limited research on evaluating homebuyers’ purchasing behavior toward green residential buildings. This study argues that the value of green residential buildings (GRBs) affects their adoption, and thus exerts an invisible force on homebuyers’ purchasing behavior. It also finds that field theory provides a scientific perspective on this phenomenon. Thus, this paper proposes a value field model for evaluating homebuyers’ GRB purchasing behavior based on physical field theory and psychology field theory. In particular, physical field theory provides the measurement formula, while psychological field theory explains the effect of the force stimulating homebuyers’ purchasing intention, and ultimately influencing their purchasing behavior. The initial model consisted of a field source (green perceived value), target charge (GRB demand), distance (psychological distance), and value field factor. As the value field factor was calculated to be approximately equal to 1, the final model is a composite of a field source (green perceived value), target charge (GRB demand), and distance (psychological distance). The results validate the construction of the value field model on the basis of field theory. This research contributes to the body of knowledge by analyzing GRB value and provides a clearer understanding of how GRBs and the environment combine to fulfill homebuyers’ requirements and influence their GRB purchasing behavior.

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“…Extending this research beyond certain features of an electric vehicle, scholars have included personal variables such as attitudes and social determinants relying on social-psychological theories. Ref [39], for example, have analyzed personal factors that influence the selection of electric vehicles using the theory of planned behavior, finding that subjective norms and attitudes towards technology are significant drivers. Other studies by [40][41][42][43][44] provided a deeper analysis of the critical personal dimensions that impact the selection of e-mobility transport solutions from the customers' perspective, underlining the importance of individual attitudes, experience, information level, acquisition costs and social environment (e.g., family and friends) in the process of e-mobility selection.…”

Section: Related Workmentioning

confidence: 99%

Selecting E-Mobility Transport Solutions for Mountain Rescue Operations

et al. 2020

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This study introduces e-mobility for humanitarian purposes and presents the first investigation of innovative e-mobility transport solutions (e.g., e-bike, e-stretcher, and drone) for mountain rescue. In practice, it is largely unclear which e-mobility transport solutions might be suitable and what selection attributes are to be considered. The subsequent study supports the technology selection process by identifying and measuring relevant selection attributes to facilitate the adoption of e-mobility in this domain. For the purpose of this study, a multi-method research approach that combines qualitative and quantitative elements was applied. In the first step, results of a systematic search for attributes in literature were combined with inputs gained from unstructured expert interviews and discussions. The perceived importance of the identified selection attributes was then measured by analyzing survey data of 341 rescue workers using the best-worst scaling methodology. Finally, the results were reiterated in another expert discussion to assess their overall validity. Study results indicate that e-mobility transport solutions need to primarily enhance operational performance and support the safety of mountain rescue personnel. Surprisingly, economic and sustainability aspects are less of an issue in the process of technology selection.

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Applying the theory of reasoned action to understanding consumers’ intention to adopt hybrid electric vehicles in Saudi Arabia

Cited by 85 publications

References 36 publications

Public Intentions to Purchase Electric Vehicles in Pakistan

Public Intentions to Purchase Electric Vehicles in Pakistan

Proposing a Value Field Model for Predicting Homebuyers’ Purchasing Behavior of Green Residential Buildings: A Case Study in China

Selecting E-Mobility Transport Solutions for Mountain Rescue Operations

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