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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 purpose of this present study is to analyze the role of consumers' social-psychological attributes, fiscal incentives and socio-demographics in the adoption intention and the willingness to pay more for electric vehicles (EVs).

A cognitive linkage model of “beliefs-intention-willingness” is analyzed using valid responses obtained from Indian consumers. The model is statistically tested at three levels: direct path effect of social-psychological attributes with financial incentives (subjective norm, personal norm, affective attitude, perceived knowledge) on adoption intention and willingness to pay, followed by the mediation of intention and the moderation of socio-demographics.

The findings reveal that the adoption intention and the willingness to pay are directly driven by all analyzed factors except financial incentives, which is not significantly associated with willingness to pay. Moreover, the adoption intention partially mediated the relation between all socio-psychological measures and willingness to pay, whereas full mediation of incentives is supported. Furthermore, the moderating effect of socio-demographics (gender, education, income) supports the integrated research model.

The generalizability of findings may be warranted due to the limited sample territory and the sample's youth. However, young people, or millennials, are more receptive to new technologies such as electric or carbon-free automobiles. The research advocates marketers and manufacturers to craft policy interventions and strategies to upsurge the EV demands in the backdrop of emerging markets.

This timely study adds to the extant literature on green and clean technology automobile adoption by exemplifying the relationship between socio-psychological beliefs, intention and willingness to pay at three dimensions of contextual factors. The current study endeavors to endorse the “beliefs-intention-willingness” cognitive linkage framework in the context of Indian green transportation.

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.

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.

This study aims to empirically examine the relationships among perceived environmental uncertainty (EV), the level of knowledge distance (KD) and the impact of value network on firm performance.

The quantitative analysis is based on data from 243 Chinese companies with engineering, procurement and construction (EPC) business in the context of the COVID-19 pandemic.

The two dimensions of value network [network centrality (NC) and network openness (NO)] have a different impact on firm performance [financial performance (FP) and market performance (MP)]. NC has a positive impact on FP, but not on MP. NO has a positive effect on MP, but not on FP. A reduced KD mediates the relationship between value network and firm performance. Moreover, it fully mediates the relationship between NC and MP, NO and FP. Finally, during the COVID-19 pandemic, only EV has a moderating effect on KD and MP.

This study is limited in terms of data set because it relies on a limited amount of cross-sectional data from one specific country. Therefore, researchers are encouraged to test the proposed propositions further.

The present findings suggest that EPC professionals should pay more attention to the EV, which may be impacted by policy, technology and the economy. This research has actionable implications for the reform of EPC in the construction industry, and practical recommendations for EPC firms to improve their corporate performance.

The results measure the complementary effects of both dimensions of value network (NC and NO) on two distinct aspects of firm performance (MP and FP) and assess the moderating effect of EV and KD in the context of the COVID-19 pandemics.

This study aims to investigate the key factors that influence the behavioural intention of doctors to adopt the knowledge sharing driven blockchain technology in government hospitals. The study is based on the Unified Theory of Acceptance and Use of Technology 2, with the addition of trust as an independent variable and knowledge sharing as a mediating variable between trust and behavioural intention.

The data for the study was collected through a correlation and cross-sectional study using a survey, with a sample of 322 responses being used for the final analysis. The initial analysis of the data was conducted using SPSS v.26, followed by a partial least squares structural equation modelling (PLS-SEM) analysis using SmartPLS v.3.9 to test the validity and reliability of the measures and to examine the hypothesized relationships.

The results supported the proposed framework. The results of PLS-SEM indicate that all proposed pathways support the model. In particular, the results of the study reveal that performance expectation, effort expectation, social influence, facilitation conditions and trust are drivers of blockchain adoption and have a significant impact on the behavioural intention of clinicians in hospitals. Furthermore, the study found that knowledge sharing mediated the relationship between trust and behavioural intention.

The present study sheds light on the challenges facing blockchain technology, such as privacy and trust concerns and proposes a more sustainable approach based on knowledge management to enhance the effectiveness of blockchain technology and overcome these challenges.

The significance of this paper lies in the limited literature examining the relationships between blockchain technology and knowledge management processes. Furthermore, a hypothetical framework that includes the knowledge sharing process as a mediating variable between trust and behavioural intention to adopt blockchain technology has not been presented or developed in any previous studies, particularly in the context of Iraq. Thus, this work is novel and unique in its approach.

The purpose of this paper is to examine the purchase behavior of consumers towards green products by adapting and extending the theory of planned behavior with the inclusion of three pertinent environmental factors posited to reflect environmental consciousness in the form of environmental concern, environmental knowledge and environmental values.

The data was collected from 410 consumers at shopping malls with retail stores selling green and non-green products in a developing country using cluster sampling and analyzed using covariance-based structural equation modeling.

The findings of this study indicate that environmental factors reflecting environmental consciousness positively influence consumers’ attitude towards purchasing green products, wherein consumers’ environmental values have a stronger influence than their environmental concern and environmental knowledge. The findings also reveal that subjective norm, attitude and perceived behavioral control toward purchasing green products positively shape green purchase intention. The same positive effect is also witnessed between green purchase intention and behavior. However, perceived behavioral control towards purchasing green products had no significant influence on green purchase behavior.

This study suggests that green marketers should promote environmental consciousness among consumers to influence and shape their planned behavior towards green purchases. This could be done by prioritizing efforts and investments in inculcating environmental values, followed by enhancing environmental knowledge and finally inducing environmental concern among consumers. Green marketers can also leverage subjective norm and perceptions of behavioral control toward purchasing green products to reinforce green purchase intention, which, in turn, strengthens green purchase behavior. This green marketing strategy should also be useful to address the intention–behavior gap as seen through the null effect of perceived behavioral control on purchase behavior toward green products when this strategy is present.

This study contributes to theoretical generalizability by reaffirming the continued relevance of the theory of planned behavior in settings concerning the environment (e.g. green purchases), and theoretical extension by augmenting environmental concern, environmental knowledge and environmental values with the theory of planned behavior, resulting in an environmentally conscious theory of planned behavior. The latter is significant and noteworthy, as this study broadens the conceptualization and operationalization of environmental consciousness from a unidimensional to a multidimensional construct.

The purpose of this study is to understand how and why consumers engage in market-shaping activities on behalf of firms.

This study uses a combination of archival, netnographic and interview methods to examine how consumers responded to the entry of Tesla into the U.S. automotive market.

Consumers are driven to engage in supportive institutional work by the culturally resonant ideologies embodied in Tesla’s strategic orientation. This work takes both discursive and practical forms and sees consumers adopting responsibilities typically associated with other actors, including activists and sales professionals.

In developing an account of an understudied phenomenon – consumers’ firm-supportive market shaping – this research extends theorization around institutional work and cultural branding.

This paper aims to explore the problem of power imbalance within decentralized autonomous organizations (DAOs) and propose potential solutions that could contribute to enhancing the democratic nature of DAOs.

In this paper, the authors apply a qualitative methodology. Using a thematic coding analysis, the authors process data collected from interviews with 11 experts.

Multiple factors contribute to the perceived lack of democracy within DAOs, such as token concentration and effective stakeholder communication. Next, quadratic voting has the potential to enhance democracy within DAOs, but this mechanism must be implemented mindfully. Finally, the results were nuanced when it comes to the effectiveness of liquid democracy in DAOs to enhance voter participation and representation.

To the best of the authors’ knowledge, this paper is one of the first research contributions to propose recommendations to address the power imbalance within DAOs and to contribute to the advancement of decentralized decision-making structures.

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.