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This study aims to examine the links between carbon emissions, electric vehicles, economic growth, energy use, and urbanisation in 15 countries from 2010 to 2020.

This study adopts seminal panel methods of moments quantile regression with fixed effects to trace the distributional aspect of the relationship. The reliability of methods is confirmed via fully modified ordinary least squares coefficients.

This study reveals that fossil fuel use, economic activity, and urbanisation negatively impact environmental quality, whereas renewable energy sources have a significant positive long-term effect on environmental quality in the selected panel of countries.

The main limitation of this study is the generalisability of the findings, as the study is confined to a limited number of countries, and focuses on non-renewable and renewable energy sources.

Finally, this study proposes several policy recommendations for decision-makers and policymakers in the 15 nations to address climate change, boost sales of electric vehicles, and increase the use of renewable energy sources.

This study calls for a comprehensive transition towards green energy in the transportation sector, enhancing economic growth, fostering employment opportunities, and improving environmental quality.

The current study aims to investigate the various consumption motives (hedonic, gain and normative) responsible for strengthening consumers' intentions toward purchase behavior for electric vehicle (EV).

A total of 411 valid survey responses were collected using a structured questionnaire. Data were analyzed using confirmatory factor analysis and structural equation modeling to investigate the empirical fit of the hypothesized framework.

The results of structural equation modeling revealed that all three motives were positively correlated with purchase intentions for EV. Hedonic motives were found to have the strongest influence on purchase intentions. In addition, gain and normative motives were also found to be significant predictors of EV buying behavior. Further analysis revealed a positive correlation between gain, normative and hedonic motives. Moreover, personal moral standards seem to have a significant and positive impact on the positive emotions associated with buying EV.

The results of current research can be useful for marketers while designing promotional strategies for all the high-involvement green products. Marketing professionals and policymakers can use these results to build effective marketing strategies for EVs and reduce greenhouse gas emissions resulting from personal vehicle use.

To the best of the authors' knowledge, this is the first study in the South Asian region that explores consumers' motives for EV purchase behavior. Further, this is among a few studies, which have attempted to investigate the impact of hedonic, gain and normative motives on green purchase behavior in the context of high involvement green products.

This research intends to investigate the determinants that affect consumers’ purchase intention of electric vehicles (EVs) in Malaysia using an extended theory of planned behaviour (TPB).

Survey data were collected with a sample size of 306. The research used SmartPLS 4.0 structural equation modelling tool to analyse the data. Reliability and validity tests (discriminant and convergent validity) were used and subsequently assessed the measurement and structural models. Mediation analysis was conducted to identify the role of the latent constructs.

The findings indicated that a green purchase attitude plays a complete mediation role in the effect of environmental knowledge on the purchase intention of EVs. In the same notion, the effect of price perception and availability of charging facilities on the purchase intention of EVs passes completely through perceived behavioural control. However, the subjective norm was an insignificant mediator of the impact between government support and EV purchase intention.

This paper helps to examine the latent constructs that impact purchase intention using environmental knowledge, government support, price perception and the availability of charging facilities. Successful green marketing and a sustainable consumerism framework are seen as a booster to promote the usage of EVs in Malaysia.

An extended TPB model has been employed in this research to study the effects of the above-mentioned constructs. The results show that most of the extended constructs are significant in explaining the purchase intention. The empirical results address the gap in the consumer green attitude and provide insight into this area of study.

Purpose of This Chapter: This chapter aims to clarify how employee voice (EV) is conceptualized in the extant literature. Then, the present chapter develops a model of EV based on previous studies from 1970 to 2022.

Design / Methodology / Approach: In all, 53 articles were investigated in this study – the focus was on articles in the field of management. The target articles were limited to those which were written in English and were indexed by the Web of Science (WOS).

Findings: The concepts related to EV have been presented in five main dimensions. The content analysis results revealed a theoretical agreement over the central elements reflecting an integrated description of EV.

Research Limitations: The study was limited to the sources published in the WOS database, which could affect the scope of findings.

Research Implications: The conclusion showed that EV is a multi-dimensional, emerging field that has been undergoing a definitional debate in the literature. This concept indicates an ongoing responsibility for the public’s benefit, welcomes different financial activities to supply market forces’ requirements, and investigates society’s existing demands.

Originality: It represents the first attempt to conduct an EV systematic literature review based on the definition of key factors and the complex relations in a typical EV process. Also, according to the review of selected articles from 1970 to 2022, there has been no coherent conceptualization of employees’ voices.

The purpose of the study is to examine the factors that influence people's intention to adopt electric vehicles (EVs). The study used an expanded theory of planned behaviour (TPB) along with the addition of perceived trust and consideration of future consequences (CFC).

The study is based on primary data collected from 282 respondents in Punjab through a questionnaire. The collected data were analysed using SPSS 26 and AMOS 24 to perform confirmatory factor analysis and structural equation modelling.

The empirical analysis indicates that attitude, subjective norms and perceived trust have a significant influence on the adoption intention (AI) of EVs.

The implications provide policymakers and marketers with better insights into marketing EVs in the trajectory of sustainable mobility. Marketers should create focussed marketing materials that highlight the environmental ease of use, lower running costs and sophisticated technology of electric automobiles. The limitations of the study provide valuable insights for future researchers.

This is the first study that uses CFC with the TPB model in the context of AI of EVs specifically for the Punjab region.

The share of fast-moving consumer goods (FMCG) in e-commerce has increased, particularly after COVID-19, alongside the growing volume of e-commerce transactions. The increased number of orders necessitates the optimization of delivery operations. This situation has made using different technologies in last-mile delivery processes necessary. Currently, used electric vehicles (EVs) play a significant role in integrating these technologies into delivery operations. Adapting to new technologies emerges as a critical need for small enterprises to survive in the face of advancing technologies. In this context, the main purpose of this paper is to examine and identify attitudes of small businesses toward EVs’ usage in last-mile delivery for FMCG.

The theoretical frameworks commonly used in studies investigating new technologies, namely the theory of planned behavior (TPB) and technology acceptance model (TAM) have been employed. The analysis of the study was conducted using partial least squares-structural equation modeling (PLS-SEM) and the Smart PLS software package.

When examining the results of the study, a significant and positive relationship was found between compatibility and enjoyment with perceived usefulness. Furthermore, a significant and positive relationship was identified between attitude toward use, perceived behavioral control and perceived usefulness. Ultimately, a strong relationship was found between intention, which is a precursor to active usage and attitude. Based on the obtained data, it can be concluded that EVs can be actively used in last-mile delivery in the future.

In FMCG processes in Türkiye, EVs are limitedly used in last-mile delivery operations. However, there are very few studies on the use of EVs in FMCG. Therefore, it is expected that the current research will contribute to the literature by providing information on the factors that influence the acceptance of EV usage and their implications. The TAM and TPB models were used in the current study.

Aim/Purpose: This chapter supplies an overview of extant literature investigating consumer preferences and purchase behaviour towards Electric vehicles in India. The present research applied the predictive and prescriptive analysis methods to understand the consumer purchase intentions evolved with the advancement of technologies. The study considers the security and privacy of data for companies and consumers.

Design/Methodology/Approach: The conceptual model is analysed via path analysis using interviews with a set of people, and online survey data is collected from Indian users and prospects. Secondary data research methods are used to make interpretations.

Findings: The research found that consumer preferences and purchase behaviour about electric vehicles have a wide scope in marketing decision-making. The findings support linking social cognitive perception and attitude intent with mitigating socio-demographic variables and mediating attitudes towards Battery Electric Vehicles (BEV).

Research limitations/implications: The present chapter provides implications for future interdisciplinary research addressing consumer behaviour with mentioned technologies. This study proposes some theoretical and policy implications and supplies guidance to industry-specific consumers, suppliers, policymakers and business professionals to encourage the adoption of BEVs in the emerging transportation industry. The research explores the future possibility and extent to which the consumer prefers and buys EVs.

Originality/Value: This study is based on the ‘perception-attitude-intention’ socio-psychological linkage framework. Earlier studies overlooked the effects of socio-psychological characteristics and socio-demographic moderators when considering the adoption of BEVs.

Despite efforts to reduce environmental pollution and wasteful fossil fuel use, electric vehicles (EVs) are still rare on the road. Why is it so challenging to get widespread EV adoption? One significant factor on which it heavily depends is one's awareness and understanding of EVs. However, due to an absolute lack of knowledge on the part of the populace, this factor becomes a huge impediment to the uptake of EVs. A systematic review of the electronic database Scopus for the years 2003–2022 was carried out on ‘EV awareness and adoption of EV’ while considering the ‘Preferred Reporting Items for Systematic Reviews and Meta-analysis’ (PRISMA) standards. A three-step identification process resulted in the ultimate detection of 41 papers, which were then thoroughly examined. A conceptual framework that encompasses the three key awareness aspects that influence EV adoption is developed. To encourage greater uniformity among EV researchers, this study's conclusions serve as a foundation for operationalising upcoming research efforts within a predetermined framework. The authors must therefore be optimistic that lingering technological, legislative, cultural, behavioural and business-model barriers may be overcome over time through widespread dissemination of knowledge and awareness related to EVs, making it possible for everyone to switch to greener, more economical and more efficient transportation solutions.

The study investigates the effects of energy resource efficiency on the triple themes of sustainable development (economic, social and environmental dimensions). We adopt a quantitative research method, and the required macroeconomic data were extracted from World Development Indicators for a period of 30 years (1991–2020). The extracted data were analysed using correlation analysis and linear regression. Ultimately, the estimations from the three models produced mixed results. Energy resource efficiency (EFF) exerts a significant positive effect on economic sustainability (ECS), a significant negative effect on social sustainability (SOS) and a significant negative effect on environmental sustainability (EVS). However, claims on government (COG) exerted an insignificant negative effect on ECS, an insignificant negative effect on SOS and a significant positive effect on environmental sustainability (EVS). In practical terms, the findings are consistent with previous empirical studies, and they also validate X-efficiency theory (XET) and resource curse theory (RCT). The study concludes with implications, limitations and further research directions.

The UAE has set an ambitious target to become one of the most sustainable countries in the world. In addition, the country's infrastructure is playing a pivotal role in terms of electric vehicle (EV) usability with regard to its roads, power generation capacity, availability of charging stations and the drive towards customer adoption. The readiness for EVs in the UAE is assessed in this study as part of its development towards its sustainable target. This research aims to study EV readiness among the UAE car users from a sustainability perspective.

The proposed methodology follows with a comprehensive literature review to identify the various drivers of EV readiness and their contribution to sustainability. A list of hypotheses was developed based on the identified drivers to EV readiness. A questionnaire survey was designed to validate the hypothesis, and data were collected from consumers in the UAE. In total, 140 complete responses were received across different consumers and the results were studied using partial least square based structural equation modeling (PLS-SEM) method.

An initial framework for EV readiness was developed, and analyses of the variables that are driving the relationships was done. The analysis confirmed that quality of service, power quality and infrastructure are positively linked to EV readiness in the UAE. However, the role of blockchain as a moderator to enhance the relationship between power quality, infrastructure and sustainability is not significant, indicating blockchain adoption in the UAE is still nascent in nature. However, its adoption has some potential to save energy.

The research is limited to the UAE region in terms of sample collection and respondents' profile. Further, research on EV readiness seemed to be early at present and therefore this research on EV readiness and its associated variables could set future research directions.

Logistics industry and automotive industries will benefit from the outcomes of the study especially while operating in the UAE. Also, the research recommends EV makers to understand the relationship between quality of service, power quality, infrastructure, EV readiness and sustainability in order to move towards a more sustainable transportation future.