Explicating Consumers’ Adoption of Wearable Technologies

This research aims to determine the key antecedent factors in consumers’ 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’ 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.

Students' Acceptance of Gamification in Higher Education

Gamification provides a practical approach to improving learning processes, especially the learner's motivation. However, little research has been conducted on student intentions to use gamification in higher education. Therefore, this study explored the gamification in higher educational courses by collecting surveys and discusses the factors influencing the acceptance of gamification in higher education. Based on the PLS-SEM results, students should take initial game-based learning content to be more familiar with gamification; furthermore, they could have a positive experience so that they would increase their intention. Performance expectancy is the most important factors influencing a student to accept gamification. Other factors, such as effort expectancy, social influence, facilitating conditions, involvement, skill, and control, are also important factors. With the results of this study, the instructor designer could have substantial help in planning the course content and enhance its efficiency and effectiveness.

Financial Technology as a Future Game-Changer

Financial technology has emerged as a game-changer to complement and enhance how the Millennial and Generation Z conduct transactions. Responding to calls of prior research, this study used the unified theory of acceptance and use of technology (UTAUT) to understand how performance expectancy and effort expectancy factors influence consumers' intention to use financial technology. Performance expectancy (PE) and effort expectancy (EE) were investigated as exogenous variables towards the intention to use financial technology (FinTech) that act as endogenous variables in this study. The authors collected 284 Millennial and Generation Z respondents and analysed the data using PLS-SEM. The result from the study's structural model suggested that FinTech continuance use intention was dependent on performance expectancy and effort expectancy on engaging with young vibrant consumers and establishing attractive FinTech elements. In addition, Millennial and Generation Z consumers with a high-performance expectancy were found to emphasize FinTech components in the engagement process.

Adapting the UTAUT2 Model for Social Commerce Context

Social commerce (SC) became a major channel for conducting business as a result of the ban adopted by many countries because of Covid-19 era. The simplicity of the Unified Theory of Acceptance and use of Technology (UTAUT) and its extended version (UTAUT2) invites researchers to explore other options that can yield better explanation of the adoption of SC. This study extended the UTAUT2 with perceived value, trust and a SC related construct. In addition, the study re-structured the UTAUT2 to fit with SC environment. The study utilized 463 surveys distributed in Qatar, and analyzed the data using SEM. Results fully supported the proposed model, where trust, perceived value, facilitating conditions, and hedonic motivation significantly predicted behavioral intentions with an R2 value equal to 72%. The model supported the role of performance expectancy and SC constructs in predicting perceived value, and the role of effort expectancy and habit in predicting hedonic motivation.

An Empirical Study of Consumer Attitude toward Adoption of Online Food Ordering App

The purpose of this paper is to identify the factors influencing the adoption of online food ordering app and the degree of influence of each factor on consumer attitude with moderating effect of technical barriers. This research proposed a conceptual model aimed to test the attitude towards online food ordering app. Relationships among constructs were tested on the basis of 514 surveys collected in India and analyzed with the structural equation modeling approach of partial least squares path modeling. Findings established the positive relationship between effort expectancy (EF), performance expectancy (PE), perceived social norms (PSN), perceived complexity (PCL), perceived compatibility (PCT), perceived relative advantage (PRA), perceived risk (PR) and Attitude towards online food ordering app (ATT). In addition, TB plays a significant moderating role in the relation between PE, PCL, PCT, PR, and ATT. However, no significant moderation effect was found in the relation between EF, PSN, PRA, and ATT.

Towards a cashless society: Use of electronic payment devices among generation Z

Nowadays, transactions on e-commerce platforms (e-payment) utilizing a credit card are popular. Using credit cards for electronic purchases over the Internet is much different from offline purchases in traditional stores; only online transactions do not include either physical credit card or a signature. The e-payment has become a common mode of payment for online transactions made. It is an electronic billing system that gives clients the ability to make payments using the Internet. The objective of this paper was to analyze the associations among continuance intention e-payment, effort expectancy, facilitating conditions, performance expectancy, social influence, and actual usage of e-payment. The data was tested empirically on data collected from 667 Generation Z e-payment users in Malaysia. The results found that facilitating conditions, performance expectancy, and social influence impacted the actual usage of e-payment. Surprisingly, effort expectancy was not significantly associated with the actual e-payment usage. The findings of this study have several implications for managers and point the way towards future research. No prior empirical study has investigated the role of the Unified Theory of Acceptance and Use of Technology model on e-payment usage among Generation Z in Malaysia to the best of the authors’ knowledge. These results provide valuable contributions that can help decision-makers formulate or adjust their strategies associated with e-payments.

An Empirical Study of Consumer Attitude toward Adoption of Online Food Ordering App

The purpose of this paper is to identify the factors influencing the adoption of online food ordering app and the degree of influence of each factor on consumer attitude with moderating effect of technical barriers. This research proposed a conceptual model aimed to test the attitude towards online food ordering app. Relationships among constructs were tested on the basis of 514 surveys collected in India and analyzed with the structural equation modeling approach of partial least squares path modeling. Findings established the positive relationship between effort expectancy (EF), performance expectancy (PE), perceived social norms (PSN), perceived complexity (PCL), perceived compatibility (PCT), perceived relative advantage (PRA), perceived risk (PR) and Attitude towards online food ordering app (ATT). In addition, TB plays a significant moderating role in the relation between PE, PCL, PCT, PR, and ATT. However, no significant moderation effect was found in the relation between EF, PSN, PRA, and ATT.

Factors Influencing the Intentions to Adopt Technology of the Broiler Farmer in Livestock Region 3, Thailand

This research aimed to study the types and influence of mindsets, performance expectancy, effort expectancy, social influence and facilitating conditions on farmers' intention to adopt a technology. The research participants were 110 broiler farmers in livestock region 3. The research used a questionnaire to collect quantitative data and analyse the data using frequency, percentage, mean, standard deviation, correlation coefficient and structural equation modeling with maximum likelihood estimation to analyse path coefficienct and structural relationships. The result showed that most of the participants have a growth mindset more than a fixed mindset. Performance expectancy, effort expectancy, social influence and facilitating conditions have directly affected boiler farmers' intention to adopt the technology. Effort expectancy has a total effect on attitude toward using technology. Interestingly, facilitating conditions have shown the most considerable influence on attitude toward adopting the technology. Mindsets have an influence on effort expectancy and facilitating conditions. HIGHLIGHTS Most broiler farmers in livestock region 3 possess a growth mindset than a fixed mindset Performance expectancy, effort expectancy, social influence and facilitating conditions have direct effect on boiler farmers' intention to adopt the technology Mindsets influence farmers' perception of effort expectancy and facilitating conditions of adopting the technology

An Empirical Study of Consumer Attitude toward Adoption of Online Food Ordering App

The purpose of this paper is to identify the factors influencing the adoption of online food ordering app and the degree of influence of each factor on consumer attitude with moderating effect of technical barriers. This research proposed a conceptual model aimed to test the attitude towards online food ordering app. Relationships among constructs were tested on the basis of 514 surveys collected in India and analyzed with the structural equation modeling approach of partial least squares path modeling. Findings established the positive relationship between effort expectancy (EF), performance expectancy (PE), perceived social norms (PSN), perceived complexity (PCL), perceived compatibility (PCT), perceived relative advantage (PRA), perceived risk (PR) and Attitude towards online food ordering app (ATT). In addition, TB plays a significant moderating role in the relation between PE, PCL, PCT, PR, and ATT. However, no significant moderation effect was found in the relation between EF, PSN, PRA, and ATT.

Adoption Intention of UPI Payment Method Using Unified Theory

This research was conducted to gather data and understand the perception what the Indian population holds when it comes to using UPI payment method. To do so, a survey was designed using the UTAUT model and was circulated by the means of google forms. A wide range of parameters were considered to avail the maximum possible accuracy for the data collected. Parameters like, the ease of using this payment method, short term and long term benefits, monetary benefits, social benefits were considered. All of these parameters were supposed to be answered on a scale of 5. After collecting all the data, the results were analyzed and evaluated using which the hypothesis made were proved. Keywords: UPI, payment, transaction, UTAUT, performance expectancy, effort expectancy, perceived monetary benefits, perceived safety, social influence, adoption intension.