In recent years, research on sustainable consumption has been particularly relevant, highlighting the importance of the collective over the individual to reduce pollution. This study focuses on the ...study of the perceived marketplace influence (PMI) concept in its organizational and consumer dimensions, together with the financial incentives that exist in the adoption of electric cars and their effect on green customer engagement. A sample of 382 potential buyers of electric vehicles was obtained. A new hybrid analytical approach was taken structural equation modelling and artificial neural network. The research found the most significant variables affecting purchase intention were financial incentives, followed by PMI Organization and finally PMI Consumer. The results of artificial neural network analysis confirmed all the findings of the structural equation modelling, although the importance of each PMI dimension is different for each technique used. The conclusions point to new business opportunities that can be exploited by companies selling this green technology.
Abstract
The transportation sector's substantial greenhouse gas emissions necessitate solutions that promote sustainability. One potential approach is the higher adoption of electric vehicles (EVs). ...This study aims to empirically investigate the determinants of customers' intentions to adopt EVs, with a strong focus on the concept of green value. Framed in adaption‐innovation theory and based on the customer perceived value model, this research analyses the influence of emotion, price, quality, social, green value and green advertising skepticism on purchase intention and customer engagement. Employing a PLS approach to fit the conceptual model to data obtained from an online survey of potential customers in Germany, Spain, and Chile (
N
= 791), we found evidence of a substantial and significant impact of green advertising skepticism on purchase intention and green perceived value. Notably, the social value of electric vehicles is the most crucial driver of customers' buying intention and is more important than price and green perceived value.
Electric and hybrid vehicles are a prominent technology in the transport industry for mitigating air pollution. This study aims to find the key factors which mediate product adoption by assessing the ...main barriers to purchasing, the impact of government financial incentives and other variables such as pro-environmental behavior and social reputation. Data were collected from 404 potential consumers and analyzed through two methods. Firstly, this study approaches a structural equations model. Secondly, neural networks are examined. The obtained results reveal reliability and government financial aids as the most significant motivators. In addition, the three major variables negatively impacting perceived reliability are limited range, charging time and low infrastructure availability.
•Reliability and incentives are the most significant motivators to adopt E&HV.•Three factors inhibit the improvement of perceived reliability.•Social reputation and environmental concern positively influence attitude.•There are some differences between SEM and ANN predictor rankings.
Technological developments are changing how users pay for goods and services. In the context of the COVID-19 (coronavirus disease 2019) pandemic, new payment systems have been established to reduce ...contact between buyer and seller. In addition to the pandemic, the future is payment processing is also uncertain due to the new EU security regulations of the Payment Services Directive (PSD2). Biometric payments one option that would guarantee the security of transactions and reduce the risk of contagion. This research analyses the intention to recommend the use of the mobile phone as a tool for collecting payments in a shop using iris reading as a biometric measure of the buyer. The moderating effect of the fear of contagion in the proposed relationships was also analysed. An online survey was carried out, which yielded a sample of 368 respondents. The results indicate that the main antecedents of intention to use, which precedes intention to recommend, are perceived trust, habit, personal innovativeness and comfort of use. Additionally, the moderating effect of COVID-19 was checked among users with a higher perception of risk. The results obtained have interesting implications for purchase management among manufacturers and retailers.
Search engine marketing accounts for a high percentage of investment in platforms such as Google. Several studies have confirmed that users have a negative bias towards advertisements, so we apply ...social psychology theories via the elaboration probability model in this analysis. In this research, we modify the types of ads shown on Google’s results pages using the regulatory focus and fit and message framing theory to study attentional and behavioral responses with eye-tracking technology and cognitive responses from self-report measures. The results confirm a negative bias towards ads and a preference for organic results. Although promotion-framed ads seem to be more persuasive than neutral and prevention-framed ads, it was not possible to prove compliance with regulatory fit in this field through survey-based studies.
In order to combat environmental problems, electromobility is developing worldwide. The purpose of this study is to assess consumer attitudes for electromobility. Likewise, perceived consumer ...effectiveness (PCE) is proposed as a moderator. The analysis was carried out approaching a partial least squares technique within a model of structural equations with a sample of 404 users. Results show that the main motivators driving the purchase of an electric or hybrid vehicle are trust and extrinsic incentives, with green self-identity (GSI) influencing significantly but with less intensity. In addition, the level of knowledge is rather low and has a negative impact. In the proposed behavior model, PCE has a significant impact on intention. The impact of GSI on attitude is especially significant among consumers with a high level of PCE. Likewise, the effect of attitude on intention to adopt is also more pronounced among consumers with a high level of PCE. These findings might help revamp marketing strategies aiming to improve consumer attitudes and product adoption while boosting product sales.
•Based on the extended UTAUT2 model, different segments are defined using HTBR.•Spaniards have higher intention to adopt ecommerce than Portuguese.•There are differences between Spaniards and ...Portuguese in adopting ecommerce and not buying in a physical shop.•Socio-demographic variables are not significant when defining behavior.
The increase in the widespread use of e-commerce reveals a greater tendency towards online shopping. The objective of this research is to analyze the drivers and barriers of online channel usage intention and their implications for physical channels, based on a modification of the UTAUT2 model, as well as to identify the relevant segments of e-commerce consumers versus physical shoppers in the post-COVID-19 era, using Hierarchical Tree Regression applying the CHAID method through an online questionnaire on a final sample of 491 Portuguese and 345 Spanish users. The results confirm the differences in the adoption of the use of electronic channels between the two countries, the absence of influence of most socio-demographic variables on intention, and the importance of behavioral variables in the definition of segments in both populations. Finally, strategic recommendations are made for each of the identified groups to improve the intention to use e-commerce platforms.
Due to rising carbon dioxide emissions and recent climate change events, there is an increasing focus on adopting sustainable road transport. These issues are reflected in more recent research ...findings on the adoption of sustainable road transport in recent years. This study aims to undertake a meta- and weight analysis of earlier quantitative articles on the adoption of sustainable road transportation, with the goal of providing a broad outline of the event. Ninety-two articles from the last 12 years were selected to conduct this study. Analysis of these 92 articles found that 31 variables were the best predictors, and 15 were promising predictors. The associations between subjective norm and behavioral intention were also moderated by socioeconomic factors such as the human development index and the sustainable mobility index, environmental factors such as the average air quality index and the environmental protection index, energy-related factors such as the availability of renewable energy, and cultural factors such as power distance, individualism, masculinity, uncertainty avoidance, and long-term orientation. Also, the research found that the theory of planned behavior was the most frequently used and that electric vehicles were the most commonly used sustainable transport mode. Researchers who are promoting the use of sustainable mobility will find the results of this study helpful.
•A meta and weight analysis of 92 articles of sustainable road transportation adoption research (STARR).•Best and promising indicators of STARR were identified.•Subjective norms, performance expectancy, and attitude were the most commonly used constructs.•TPB and UTAUT were the most used theories in STARR.•Moderation of socioeconomic, environmental, energy-related, and cultural indicators was presented.
•Factors influencing electrical vehicle adoption intention (EVADINT) in the Himalayan region were identified.•Based upon the unified theory of acceptance and use of technology (UTAUT2) and norm ...activation model (NAM), an integrated model of potential consumers’ adoption intentions was built.•Results showed that integrated UTATUT2-NAM model was very useful in explaining the EVADINT.•The multi-group SEM analysis of different age groups showed significant differences in social influence and hedonic motivations in the path of consumer adoption intention.
Electric vehicles (EVs) can significantly lower transport fuel consumption and carbon emissions. Therefore, the Indian Government is vigorously promoting the adoption of EVs. Himachal Pradesh has become one of the leading states to start the adoption of EVs for public transport in India. Based upon the unified theory of acceptance and use of technology (UTAUT2) and norm activation model (NAM), an integrated model of potential consumers’ adoption intentions was built. A questionnaire survey was carried out among potential consumers in Himachal Pradesh, India. Data were obtained from potential consumers’ (N = 309) and were assessed using structural equation modelling (SEM). The findings show that performance expectancy, facilitating conditions, hedonic motivation, price value, and personal norms have significant positive effects on consumers’ intentions to adopt EVs. However, effort expectancy, social influence, and habit do not significantly impact adoption intention. In addition, the multi-group SEM analysis of different age groups showed significant differences in social influence and hedonic motivations in the path of consumer adoption intention. Finally, implications for policymakers and future research directions are discussed.
Customer engagement is an important multidimensional construct which determine the success of a firm (e.g. mobile applications). Nevertheless, research on how to develop customer engagement, ...particularly its individual dimensions, is still limited. Using a self-determination theory perspective, the present study examines the relationships between fulfilling the three basic psychological needs and the four types of customer engagement (i.e. co-developing, influencing, augmenting, and mobilizing) in a mobile commerce (mcommerce) setting. Based on a survey of 717 respondents, the findings show that relatedness and competence are strong predictors of the four dimensions. However, the results only show that fulfilling sense of autonomy will only help in co-developing and influencing. Additionally, age and income are important factors in predicting three out of the four dimensions. Meanwhile, gender is only affecting influencing behavior.
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