Imran Ali

Vehicles are classified as a mobile source of pollution worldwide. This problem is compounded in countries like India, where the population is enormous, and the number of automobiles increases quickly. To overcome this issue, governments and individuals must adopt electric vehicles and maximize the use of eco-friendly vehicles. However, the adoption of electric vehicles in India is gradual. One of the reasons is the attitude towards traditional and electric vehicles. This study’s primary objective is to determine how attitude influences the adoption of electric vehicles. The topic is vital since the attitude provided by numerous studies influences the intention to buy anything. This study considered one dependent variable (electric vehicle adoption) and one mediating variable (attitude) along with five independent variables. The data collection method was straightforward, and the sample size was 366 respondents. Exploratory factor analysis (EFA), structural equation modeling (SEM), and mediation analysis were used to analyze the data. All adopted constructs were trustworthy, with average variance extracted exceeding 0.55, composite reliability exceeding 0.75, and factor loadings exceeding 0.70 for most. The model fit indices were also found to be significant on several parameters. Among all other variables, only financial incentives affect electric vehicle adoption. In other circumstances, opinions did not influence customer uptake of electric vehicles.

Corporate social responsibility (CSR) is the belief that businesses must consider ethical, social, and environmental issues when making decisions. Several studies have found that CSR improves corporate performance. Moreover, CSR is thought to increase consumer trust and purchase intention. This study investigates the effect of CSR activities on customers’ purchase intentions and the mediating role of trust. It draws linkages and establishes that businesses can improve their bottom lines while positively affecting society by acting responsibly.
The present study selected two independent variables (ethical corporate social responsibility and legal corporate social responsibility) alongside one dependent variable (purchase intention) and one intervening variable (trust). The sample comprises two hundred and thirty respondents from India’s National Capital Region (NCR), Delhi, and nearby regions. The data were examined using structural equation modeling (SEM). The results showed that CSR activities significantly positively affected customers’ purchase intention. Furthermore, trust mediated the linkages between CSR activities and customers’ purchase intention. The findings suggest that CSR activities can increase customers’ purchase intention by fostering trust. In other words, when customers trust a firm, they are more likely to intend to purchase its products or services. CSR managers should therefore focus on creating and maintaining trust with their customers. In addition, findings suggest that firms should be conscious of their social image. This study offers significant insights because they show that any business can be successful and socially responsible.

Acknowledgment
This study is supported via funding from Prince Sattam bin Abdulaziz University project number (PSAU/2023/R/1444).

Social media has revolutionized how businesses connect with consumers, going beyond product promotion to understanding consumer preferences. It is undeniable that social media plays a pivotal role in shaping consumer purchase decisions, as more individuals turn to these platforms to seek advice and opinions from peers. The current study engaged 410 Indian consumers, employing a quantitative approach backed by rigorous statistical methods, including descriptive statistics, correlation analysis, regression analysis, and structural equation modeling (SEM) using AMOS software. The goal was to unravel the intricate dynamics between social media marketing, brand image, and purchase intentions. The findings highlight a significant and positive relationship between social media marketing efforts and brand image perception. Moreover, it was discovered that brand image significantly influences consumers’ purchase intentions. Surprisingly, it did not find a direct and significant impact of social media marketing on purchase intentions.
Notably, the study revealed a crucial insight: the influence of social media marketing on purchase intentions is fully mediated by the perception of brand image. In light of these results, businesses are encouraged to establish a strong presence on social media platforms to effectively promote their products and services. Organizations can effectively steer consumer purchase intentions by harnessing the synergy between social media marketing and brand image.

Acknowledgment
This study is supported via funding from Prince Sattam bin Abdulaziz University project number (PSAU/2023/R/1444).

Organizations place great value on corporate social responsibility (CSR), as it has been found to influence customer attitudes and intentions. This study analyzed the impact of CSR on consumers’ purchase intentions. The significance of this study arises from the fact that all progressive companies are increasing their expenditure on CSR activities. In this study, purchase intention was considered as a dependent variable, while trust, ethical, and legal CSR activities were the independent variables. Data for the study was collected from 210 randomly chosen respondents from amongst consumers of Delhi and National Capital Region of India. The data, analyzed using Structural Equation Modeling, found that trust, ethics, and legal CSR activities directly impacted consumer purchase intentions. These results indicate that legal factors do not significantly influence the corporate decision on spending on CSR activities. On the other hand, ethical factors and trust factors significantly influence the corporate decision on expenditure on CSR activities. The findings highlight companies’ requirements to be conscious of their social image. Probable limitations of the study could include sample size and the number of variables chosen.