Research on the Influence Mechanism of Consumers’ Purchase Intention of Electric Vehicles Based on Perceived Endorsement: A Case Study of Chinese Electric Vehicle Start-Ups

During the last decade, a number of electric vehicle start-ups have emerged in China. Although there have been quite a lot of studies on consumers’ purchase decision of electric vehicles, it is not common in the case of electric vehicle start-ups. This paper puts forward the concept of perceived endorsement and discusses the relationship among perceived benefit, perceived risk, range anxiety, attitude and consumers’ purchase intention and establishes a theoretical model of consumers’ purchase intention towards electric vehicles from start-ups. A structural equation model was used to test the research model and the hypotheses of the model. The results indicate that perceived endorsement has a significant positive influence on perceived benefit and attitude, which then affects consumers’ purchase intention, but range anxiety and perceived risk have no impact on purchase intention.

Analysis of Smart Home Systems in the Context of the Internet of Things in Terms of Consumer Experience

Smart homes, which are an important component of the Internet of Things (IoT) provides an effective service for users by communicating with various digital devices based on IoT. IoT-based smart home technology has transformed the lives of humans by providing everyone with a connection independently from time and space. However, due to various challenges such as privacy, security, and price, problems are experienced by consumers in terms of accepting smart home technologies. In the study, it was aimed to develop a model for accepting smart home technologies, and based on the results obtained, it was attempted to determine what factors affect the consumers' intention to buy smart home systems. In this context, with the help of Technology Acceptance Model (TAM), a research model was designed for the purchaser of a home as a product. In the research model, it was investigated what kind of effects perceived psychological factors (perceived ease of use, perceived intelligence, perceived suitability, perceived price, and perceived risk of privacy) have on the purpose and behavior of using IoT systems through perceived benefit. In addition, the relationship between sensory and emotional experiences of consumers, psychological perception factors and perceived usefulness was tested. Data was collected by conducting an online survey questionnaire completed by 430 respondents. Partial least squares (PLSs) was explored to test the theoretical model. The research results show that perceived psychological factors (perceived ease of use, perceived connectivity, perceived intelligence, perceived convenience, and perceived privacy risk) have significant effect on the intention and behavior of IOT systems usage through perceived benefit. In terms of sensory and emotional experience, it only softens the relationship between the perceived privacy risk of emotional experience and the perceived benefit.

Personality, Attitudes, and Behaviors Predicting Perceived Benefit in Online Support Groups (Preprint)

BACKGROUND Online Support Groups (OSGs) are distance-delivered, easily accessible health interventions offering emotional support, informational support, experience-based support, and companionship or network support for patients/caregivers managing chronic mental and physical health conditions. OBJECTIVE This study aimed to examine the relative contribution of extraversion, agreeableness, neuroticism, positive attitudes toward OSGs, and typical past OSG usage patterns in predicting perceived OSG benefit in an OSG for parent caregivers of children with neurodevelopmental disorders. METHODS A mix method longitudinal design was used to collect data from 81 parents across Canada. Attitudes toward OSGs and typical OSG usage patterns were assessed using author-developed surveys administered at baseline, before OSG membership. The personality traits of extraversion, agreeableness, and neuroticism were assessed at baseline using the Ten-Item Personality Inventory (TIPI). Perceived OSG benefit was assessed using an author-developed survey, administered two months after initiation of OSG membership. RESULTS A hierarchical regression analysis found that extraversion was the only variable that significantly predicted perceived OSG benefit. CONCLUSIONS The key suggestions for improving future OSGs were facilitating more in-depth, customized, and interactive content in OSGs.

Parental Decisions on Sharing Their Children's Private Information on Social Media among Families in Jakarta Area

The practice of publishing photos and videos containing children’s private information on social media—also known as sharenting—is popular among parents in Jakarta. Embarking from the debate about privacy paradox in which it is believed that privacy concern does not predict someone’s behaviors in managing his/her private information online, this research aims to reveal the considerations underlying parental decisions when sharing their children’s private information through social media and their perceived risk toward their children’s online safety. Using a qualitative approach, the researcher conducted interviews with 20 parents in Jakarta with at least one child younger the 13 years. The result suggests that the perceived benefit of sharenting exceeds its perceived risks. The study also found four reasons why parents exercise sharenting: to document their children’s development, to gain social support from their followers on social media, and to overcome loneliness as new parents and the low self-efficacy of parents in protecting children’s privacy on the internet. Unsurprisingly sharenting through social media has become a growing trend among parents. This finding thus will be useful as a groundwork to develop an intervention program regarding relevant sharenting in the context of Jakarta, Indonesia.

Women’s Perception of and Readiness to Adopt a Sustainable Healthy Diet: A Cross-sectional Survey in Enugu City, Nigeria

Background: Perceived benefit of and readiness to adopt sustainable healthy diets (SHDs) is under-investigated in low-resource countries. We assessed women’s perceived benefit of and readiness to adopt SHDs and their associated factors in Enugu Metropolis, Nigeria. Methods: A household cross-sectional survey of childbearing women (n = 450) was conducted in January and February 2021 using a questionnaire assessing food choice motives, perceived benefit, and readiness to adopt SHDs. Readiness to adopt SHDs was grouped into pre-contemplation and contemplation (PC/C), preparation and relapse (P/R), and action and maintenance (A/M). Results: About 79% and 60% of women have high perception and adopted SHDs respectively. Perceived benefit of SHD was associated with younger age (β = -0.20, ρ < 0.05), low education (β = -0.19, ρ < 0.05), and poor wealth quintile (β = -0.57, ρ < 0.001). PC/C was predicted by low perceived benefit (OR = 10.07, 95% CI: 4.78-21.22, ρ < 0.001), low education (OR = 2.51, 95% CI: 1.25-5.04, ρ = 0.010), and taste (OR = 3.96, 95% CI: 1.61-9.75, ρ = 0.003). PR was predicted by low perceived benefit (OR = 3.92, 95% CI: 1.99-7.73, ρ < 0.001), low education (OR = 1.82, 95% CI: 1.00-3.29, ρ = 0.049). A/M was related to younger age (OR = 0.48, 95% CI: 0.27-0.84, ρ = 0.010, PR), and health (OR = 0.14, 95% CI: 0.06-0.36, ρ < 0.001, PC/C) and (OR = 0.17, 95% CI: 0.08-0.35, ρ < 0.001, P/R). Conclusions: Adoption of SHDs need to improve in Enugu, Nigeria. We identified the factors that should inform dietary guidelines and campaigns to increase women's adoption of SHDs.

What governs attitudes toward artificial intelligence adoption and governance?

Designing effective and inclusive governance and public communication strategies for artificial intelligence (AI) requires understanding how stakeholders reason about its use and governance. We examine underlying factors and mechanisms that drive attitudes toward the use and governance of AI across six policy-relevant applications using structural equation modeling and surveys of both U.S. adults (N=3524) and technology workers enrolled in an online computer science master’s degree program (N=425). We find that the cultural values of individualism, egalitarianism, general risk aversion, and techno-skepticism are important drivers of AI attitudes. Perceived benefit drives attitudes toward AI use, but not its governance. Experts hold more nuanced views than the public, and are more supportive of AI use but not its regulation. Drawing on these findings, we discuss challenges and opportunities for participatory AI governance, and we recommend that trustworthy AI governance be emphasized as strongly as trustworthy AI.

A machine learning method to predict the technology adoption of blockchain in Palestinian firms

PurposeThe study aims to deliver a decision support system for business leaders to estimate the potential for effective technological adoption of the blockchain (TAB) with a machine learning approach.Design/methodology/approachThis study uses a Bayesian network examination to develop an extrapolative system of decision support, highlighting the influential determinants that managers can employ to predict the TAB possibilities in their companies. Data were gathered from 167 SMEs in the largest industrial sectors in Palestine.FindingsThe results reveal perceived benefit and ease of use as the most influential determinants of the TAB.Originality/valueThis research is an initial effort to examine factors influencing TAB in the perspective of SMEs in Palestine using machine learning algorithms.