Explicating Consumer Adoption Of Wearable Technologies: A Case Of Smartwatches From The Asean Perspective

This research aims to determine the key antecedent factors in consumers\u27 adoption of and their intention to recommend smartwatch wearable technology. The proposed research model combines the current technology acceptance and innovation diffusion theories with perceived aesthetic and perceived privacy risk to explain individuals\u27 smartwatch adoption and subsequent recommendation to other people. Based on a sample of 299 completed individual online surveys, the research employed partial least squares (a variance-based analysis method) for the model and hypotheses testing. The results showed some similarities as well as differences from the previous literature. The study found that performance expectancy, habit, and perceived aesthetic were the main predictors of smartwatch adoption. Compatibility was the antecedent factor of performance expectancy, and innovativeness directly influenced user adoption and effort expectancy. Consequently, user smartwatch adoption usually led to recommendation

The effects of cultural dimensions on algorithmic news: How do cultural value orientations affect how people perceive algorithms?

How do cultural values influence/are influenced by algorithms? A comparative study was conducted between the United States (US) and the United Arab Emirates (UAE) to investigate how users in the different cultures perceive the features of chatbot-driven news and how they view ethical issues concerning chatbot journalism. Different models of chatbot news perception reveal that the acceptance of chatbots involves a cultural dimension as the algorithms reflect the values and interests of their constituencies. How users perceive chatbot news and how they consume and interact with the chatbots depend on the cultural and social contexts in which the interaction is taking place. Our results suggest the algorithms reflect cultural values and algorithms are implicitly situated in social contexts, mediated by cultural artifacts and activities. The results resonate with ongoing debates on whether and how algorithms reinforce cultural and social values implying the co-evolving nature of algorithms and humans

Factors Influencing Mobile Payment Adoption By Silver Generation In Thailand And Sweden

This paper aims to examine the factors that influence the willingness to adopt mobile payments and the behavior intention to adopt among Thailand and Sweden's older adults. The developed Unified Theory of Acceptance and Use of Technology model was adopted as a conceptual framework and a measurement for this study. The five factors include performance expectancy, effort expectancy, social influence, facilitating conditions, and perceived risk are the independent variables plus the behavior intention to adopt mobile payments as a dependent variable. A quantitative analysis approach has been chosen to obtain data that can be statistically analyzed and compared. A total of 303 of the target respondents in Thailand and Sweden were collected through self-administered questionnaire surveys and analyzed with ADANCO with the partial least square method. The empirical results revealed a significant relationship between most factors with effort expectancy as the only insignificant determinant. For instance, the findings show that social influence has a substantial positive impact on the Thais and a significant impact on Sweden's willingness to adopt mobile payments. Further, perceived risk was found to negatively impact the adoption of mobile payment services in both countries. Still, the fear of losing money was significantly less in Sweden than in Thailand

Factors Influencing Mobile Payment Adoption By Silver Generation In Thailand And Sweden

This paper aims to examine the factors that influence the willingness to adopt mobile payments and the behavior intention to adopt among Thailand and Sweden's older adults. The developed Unified Theory of Acceptance and Use of Technology model was adopted as a conceptual framework and a measurement for this study. The five factors include performance expectancy, effort expectancy, social influence, facilitating conditions, and perceived risk are the independent variables plus the behavior intention to adopt mobile payments as a dependent variable. A quantitative analysis approach has been chosen to obtain data that can be statistically analyzed and compared. A total of 303 of the target respondents in Thailand and Sweden were collected through self-administered questionnaire surveys and analyzed with ADANCO with the partial least square method. The empirical results revealed a significant relationship between most factors with effort expectancy as the only insignificant determinant. For instance, the findings show that social influence has a substantial positive impact on the Thais and a significant impact on Sweden's willingness to adopt mobile payments. Further, perceived risk was found to negatively impact the adoption of mobile payment services in both countries. Still, the fear of losing money was significantly less in Sweden than in Thailand