Impact Of Performance Expectancy Research Articles

The Moderating Effects of Gender and Study Discipline in the Relationship between University Students' Acceptance and Use of ChatGPT.

The intensive adoption of ChatGPT by university students for learning has encouraged many scholars to test the variables that impact on their use of such AI in their learning. This study adds to the growing body of studies, especially in relation to the moderating role of students' gender and their study discipline in their acceptance and usage of ChatGPT in their learning process. This study expanded the Unified Theory of Acceptance and Use of Technology (UTAUT) by integrating gender as well as study disciplines as moderators. The study collected responses from students in Saudi universities with different study disciplines and of different genders. The results of a structural model using Smart PLS showed a significant moderating effect of gender on the relationship between performance expectancy and ChatGPT usage. The results confirmed that the impact of performance expectancy in fostering ChatGPT usage was stronger in male than in female students. Moreover, social influence was shown to significantly affect males more than females in relation to ChatGPT usage. In addition, the findings showed that study discipline significantly moderates the link between social influence and ChatGPT usage. In the same vein, social influence significantly influences ChatGPT use in social sciences more than in applied sciences. Hence, the various implications of the study were discussed.

핀테크 이용자의 통합기술수용요인과 사용자특성이 지속사용의도에 미치는 영향

Purpose: The purpose of this paper is to examine the effects of Effort Expectancy, Performance Expectancy, Social Influence, and Facilitation Condition on Continuance Intention through Innovation Resistance and Trust, based on the Unified Theory of Acceptance and Use of Technology among FinTech users. Research design, data, and methodology: The data for this study were collected through surveys distributed to employees of related companies in the Busan-Ulsan-Gyeongnam region, with 300 questionnaires distributed and 289 retrieved. After excluding 22 questionnaires due to insincere responses or missing data, a total of 267 valid questionnaires were used for statistical analysis. The analysis involved ensuring the normality of variables through descriptive statistics, verifying reliability with Cronbach's alpha values, confirming validity through exploratory factor analysis, and testing hypotheses with structural equation modeling. Results: The impact of Effort Expectancy on Innovation Resistance was rejected, while the impact of Performance Expectancy on Innovation Resistance was accepted. The effects of Social Influence on Innovation Resistance and Facilitation Condition on Innovation Resistance were both rejected. The impact of Effort Expectancy on Trust and the impact of Performance Expectancy on Trust were accepted. The effects of Social Influence on Trust were rejected, but the impact of Facilitation Condition on Trust was accepted. The influence of Innovation Resistance on Continuance Intention was rejected, while the impact of Trust on Continuance Intention was accepted. Implications: By analyzing the causes and effects of Innovation Resistance to FinTech services, this study presents a model for predicting Innovation Resistance that can be applied to various FinTech services. This is crucial for minimizing resistance and enhancing acceptance during the development of new FinTech services, providing a foundation for effective recommendations and marketing strategies for contact-less services based on the results of this study.

The Impact of Performance Expectancy, Workload, Risk, and Satisfaction on Trust in ChatGPT: Cross-Sectional Survey Analysis.

ChatGPT (OpenAI) is a powerful tool for a wide range of tasks, from entertainment and creativity to health care queries. There are potential risks and benefits associated with this technology. In the discourse concerning the deployment of ChatGPT and similar large language models, it is sensible to recommend their use primarily for tasks a human user can execute accurately. As we transition into the subsequent phase of ChatGPT deployment, establishing realistic performance expectations and understanding users' perceptions of risk associated with its use are crucial in determining the successful integration of this artificial intelligence (AI) technology. The aim of the study is to explore how perceived workload, satisfaction, performance expectancy, and risk-benefit perception influence users' trust in ChatGPT. A semistructured, web-based survey was conducted with 607 adults in the United States who actively use ChatGPT. The survey questions were adapted from constructs used in various models and theories such as the technology acceptance model, the theory of planned behavior, the unified theory of acceptance and use of technology, and research on trust and security in digital environments. To test our hypotheses and structural model, we used the partial least squares structural equation modeling method, a widely used approach for multivariate analysis. A total of 607 people responded to our survey. A significant portion of the participants held at least a high school diploma (n=204, 33.6%), and the majority had a bachelor's degree (n=262, 43.1%). The primary motivations for participants to use ChatGPT were for acquiring information (n=219, 36.1%), amusement (n=203, 33.4%), and addressing problems (n=135, 22.2%). Some participants used it for health-related inquiries (n=44, 7.2%), while a few others (n=6, 1%) used it for miscellaneous activities such as brainstorming, grammar verification, and blog content creation. Our model explained 64.6% of the variance in trust. Our analysis indicated a significant relationship between (1) workload and satisfaction, (2) trust and satisfaction, (3) performance expectations and trust, and (4) risk-benefit perception and trust. The findings underscore the importance of ensuring user-friendly design and functionality in AI-based applications to reduce workload and enhance user satisfaction, thereby increasing user trust. Future research should further explore the relationship between risk-benefit perception and trust in the context of AI chatbots.

Impact of Performance Expectancy on Adaptive Performance: through Serial Mediation Mechanism

Performance Expectancy has an effect on the adaptive performance of managers in small and medium-sized businesses in Pakistan. This study looks at how this expectation work together. The research also looks at how mobile usage can act as a mediator, as well as how productivity also mediates in the same way. In this study, the researchers wanted to study that how usage of mobile and productivity helps managers change their performance at work. The people this study is aimed at are managers or owners of small and medium-sized businesses (SMEs) that are listed with the Chambers of Commerce in Pakistan's major cities. As part of the full study, 406 responses were gathered, which is a 75% answer rate. Structure Equation Modeling (SEM) was used to build measurement and structure models that were used to test the theory. The findings showed that there were progressive mediators in the link between Performance expectancy and adaptive performance. There was a strong and good direct effect of performance expectation on adaptive performance. This link was also affected by sequential mediators, such as the usage and productivity. There is a positive and statistically significant link between all the variables. The study's results will help academics, the banking industry, SMEDA, and practitioners understand how important it is to use mobile devices and how performance expectation affect flexible performance. Researchers should focus on doing an empirical study in the future to look into how information quality, system quality of mobile devices, and mobile payments affect the change in the system. Small and medium-sized businesses (SMEs) and big businesses in Pakistan might be compared as part of this study.

Research on the Improvement of Digital Literacy for Moderately Scaled Tea Farmers under the Background of Digital Intelligence Empowerment

In the context of digital intelligence empowerment, the digital literacy level of tea farmers has a significant impact on the intelligent development and transformation of the tea industry. This study extends the original model of the unified theory of acceptance and use of technology (UTAUT) by introducing the personal innovativeness theory and the self-efficacy theory and constructs a new model to explore the influencing factors of moderately scaled tea farmers’ digital literacy improvement behavior. There are a total of 22 research hypotheses. Using structural equation modeling and collecting questionnaire data for analysis, the following research results were obtained. (1) The performance expectancy, social influence, effort expectancy, personal innovativeness, and self-efficacy all significantly positively affected the willingness of tea farmers to improve their digital literacy, according to the path coefficient in descending order: social influence (0.226) > self-efficacy (0.224) > effort expectancy (0.178) > performance expectancy (0.157) > personal innovativeness (0.155). (2) Facilitating conditions and the willingness to improve digital literacy had a significant positive impact on tea farmers’ digital literacy improvement behavior, according to the size of the path coefficient: the willingness to improve (0.271) > facilitating conditions (0.106). (3) The willingness of tea farmers to improve their digital literacy played a complete mediating role between personal innovativeness and self-efficacy on their digital literacy improvement behavior, and was partially mediated between the performance expectancy, social influence, and effort expectancy on their digital literacy improvement behavior. According to the proportion of indirect effects, the order was effort expectancy (27%), performance expectancy (47%), and social influence (49%). (4) The gender and age of tea farmers had a significant positive moderating effect on the impact of performance expectancy on the willingness to improve digital literacy. Age and experience had a significant positive moderating effect on the impact of effort expectancy on the willingness to improve digital literacy. The age of tea farmers had a significant positive moderating effect on the improvement of digital literacy behavior through the facilitating conditions. This study extended the applicability of the UTAUT theoretical model and proposed six strategies to improve the digital literacy of tea farmers, which helps policymakers and industry leaders provide practical guidance for tea farmers to improve their digital literacy and provide reference for research related to farmers’ digital literacy.

The Impact of Performance Expectancy, Effort Expectancy, Habit, and Price Value on The Behavioral Intention of Tokopedia Users in Jakarta

The development of increasingly advanced technology now has a big impact and greatly affects human activities that make human life easier, one of which is the online shopping application at Tokopedia. The focus on this study is to determine the effect of performance expectations, effort expectations, habit, and price value ​​on the behavioral intention of the Tokopedia application in Jakarta. This study used 200 samples with purposive sampling method, namely those using the Tokopedia application in Jakarta with ages above 20 years which was carried out in the form of google form. The results is all variables have a positive effect on the behavioral intention of Tokopedia users except for the performance expectation variable which not have a significant effect on the behavioral intention of Tokopedia users. In this study, it was found that the variable that had the most influence on behavioral intentions was habit.

The Impact of Performance Expectancy, Effort Expectancy, Habit, and Price Value on The Behavioral Intention of Tokopedia Users in Jakarta

The development of increasingly advanced technology now has a big impact and greatly affects human activities that make human life easier, one of which is the online shopping application at Tokopedia. The focus on this study is to determine the effect of performance expectations, effort expectations, habit, and price value ​​on the behavioral intention of the Tokopedia application in Jakarta. This study used 200 samples with purposive sampling method, namely those using the Tokopedia application in Jakarta with ages above 20 years which was carried out in the form of google form. The results is all variables have a positive effect on the behavioral intention of Tokopedia users except for the performance expectation variable which not have a significant effect on the behavioral intention of Tokopedia users. In this study, it was found that the variable that had the most influence on behavioral intentions was habit.

The Impact of Performance Expectancy, Effort Expectancy, Habit, and Price Value on The Behavioral Intention of Tokopedia Users in Jakarta

The development of increasingly advanced technology now has a big impact and greatly affects human activities that make human life easier, one of which is the online shopping application at Tokopedia. The focus on this study is to determine the effect of performance expectations, effort expectations, habit, and price value ​​on the behavioral intention of the Tokopedia application in Jakarta. This study used 200 samples with purposive sampling method, namely those using the Tokopedia application in Jakarta with ages above 20 years which was carried out in the form of google form. The results is all variables have a positive effect on the behavioral intention of Tokopedia users except for the performance expectation variable which not have a significant effect on the behavioral intention of Tokopedia users. In this study, it was found that the variable that had the most influence on behavioral intentions was habit.

Exploring Post-Adoption Behavior of the UPI users with Cognitive and Affective Factors

The National Payments Corporation of India (NPCI) has invested a sizable amount of money in the country's massive payment infrastructure in an effort to enhance the user experience. However, in order for investments to be profitable, NPCI must guarantee the ongoing use of technological solutions and post-adoptive behaviors like continuance and recommendation intention. The impact of cognitive factors (i.e. Performance expectancy, effort expectancy, social influences, facilitating conditions; personal innovativeness) and affective factors (such as satisfaction) on conative factors (such as continuation and recommendation intention) in the perspective of UPI applications (apps) was investigated using the UTAUT model. Partial Least Square Structural Equation Modeling when applied on 651 users (PLS-SEM) showed that satisfaction had a direct impact on continuation intentions, which in turn had an impact on recommendations intentions. It was discovered that all cognitive factors, including performance expectations, effort expectations, and facilitating conditions, have an impact on satisfaction. According to the study, adding a significant individual difference variable—personal innovativeness with regard to information technology—would aid in our understanding of the role that these factors play in the development of continuous intention. It further examines the influence of trust and security, and the pace of innovation on continued intentions. Through the mediating function of user satisfaction, it also looked at the impact of performance expectancy, effort expectancy, social influence, facilitating variable, and personal innovativeness on the continuance intentions of the UPI system. All factors have been shown to be significant. Future researchers will find it extremely helpful that the study used a validated instrument to better understand user adherence and referral intentions. Therefore, this study adds to the limited body of knowledge in the payment industry literature by examining how users perceive UPI apps and post-adoption behaviors.

Antecedents of Behavioral Intention Impacting Human Behavior to Use IoT-Enabled Devices

This paper investigates empirically the impact of antecedents of Behavioral Intention and Trust of users to use IoT enabled devices. With the help of UTAUT2 model along with the review of literature a conceptual model has been developed. The conceptual model consists of antecedents of Behavioral Intention and Trust. The factors & hypotheses so identified and developed have been tested with different tools after collection of data from 308 respondent (n = 308) participants from four metropolitan cities of India. The result has shown that the most important factor which can explain the behavioral intention of consumers to use IoT is ‘Trust’ level of the potential users. Besides, the impact of performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation and cost on behavioral intention of the consumers to use IoT enabled devices has been discussed.

Antecedents of Behavioral Intention Impacting Human Behavior to Use IoT-Enabled Devices

This paper investigates empirically the impact of antecedents of Behavioral Intention and Trust of users to use IoT enabled devices. With the help of UTAUT2 model along with the review of literature a conceptual model has been developed. The conceptual model consists of antecedents of Behavioral Intention and Trust. The factors & hypotheses so identified and developed have been tested with different tools after collection of data from 308 respondent (n = 308) participants from four metropolitan cities of India. The result has shown that the most important factor which can explain the behavioral intention of consumers to use IoT is ‘Trust’ level of the potential users. Besides, the impact of performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation and cost on behavioral intention of the consumers to use IoT enabled devices has been discussed.

Analyzing the role of social media marketing in changing customer experience

Social media is becoming more and more popular as a medium for marketing and promotion. Banks, for example, have spent a substantial amount of time, efforts, as well as finances marketing their products. Nevertheless, figuring out how businesses may use social media marketing to reach customers and encourage them to remain loyal is really a challenge. Therefore, the study purpose is to identify as well as test the key sections of social media marketing that can anticipate improvements in customer experience. The conceptual framework was proposed using seven variables (performance expectancy, hedonic incentive, and habit) from the expanding Unified Theory of Acceptance and Use of Technology (UTAUT2), as well as interactivity, information quality, perceived relevance and purchase intention. The research data was gathered through 437 questionnaires from banks customers. The validity of the existing model and the strong impact of performance expectancy, hedonic motivation, interactivity, information quality, and perceived relevance on customer experience were significantly supported by the primary results of structural equation modeling (SEM). This research should give marketers with a lot of theoretically and practically recommendations on how to organize and conduct social media marketing effectively

THE ANALYSIS ON FACTORS INFLUENCING THE USE OF MOBILE PAYMENT SYSTEM AMONG GENERATION Z IN BEKASI CITY

The topic of the factors that influence the usage of Mobile Payments is not to be overlooked, given the rise in the use of Mobile Payments in recent years. The goal of this study is to identify the factors that have a major impact on users' use of mobile payment instruments. The study was carried out with the help of an online survey questionnaire, which was distributed to 414 people. The impact of performance expectancy, effort expectancy, social influence, trust, and perceived security on the behavioral intention of mobile payment usage was investigated in this study. This study used a quantitative approach, with Generation Z as the unit of analysis, and the respondents from Bekasi as the target population. Two of the criteria have a significant relationship with the behavioral intention to use the mobile payment instrument, according to the research. Based on the result of this study, it can be seen that perceived security has the most influence on the behavioral intention to use mobile payment, followed by social influence.

Impact of performance expectancy on continuance intention to use e-campus: An empirical study from Malaysia

The use of information technology is widespread across various sectors. However, technology usage is sometime declining among certain individuals, and it is a drawback because the technology is not completely utilized. This study proposed that performance expectancy will have a relationship with user continuance intention. We use validated instrument obtained from previous study. Data was collected from 315 undergraduate and post graduate students from Malaysian private higher learning institution. The software SPSS 22 was adopted to analyse the proposed model. Statistical results demonstrated that performance expectancy is a strong predictor of user continuance intention. Implications for practitioners based on the results were discussed.

Relationship between the customer expectations from websites performance and e-wom: a study on sport shoes brands

Purpose- Investigating the relationships among perceived website quality, sources of credibility, experience, social impact, and recommendation affect performance expectations, customer satisfaction, trust and WOM. Methodology- The data were gathered by personal interview and Structural Equation Modeling was used to test the relationships. Findings- The quality of the website content and the technological quality of the website have a positive impact on performance expectancy, while the website information quality has a negative impact on performance expectancy. The impact of adopting social impact and recommendations, the internet and past experience, sources of credibility on performance expectations were found insignificant. The impact of performance expectations on customer satisfaction and trust was found significant. The impact of performance expectancy on WOM was found insignificant. The direct impact of customer satisfaction on WOM was found significant. Conclusion- Technology or technological innovations that benefit customers or help their goals affect customer performance expectations. In the market conditions where the competition is rapidly increasing, it is an important element in terms of competition that the brands increase the performance expectations of consumers by attaching importance to the content quality and technical quality of the website. Increased performance expectation positively affects increased customer satisfaction and confidence in the website. In addition, customer satisfaction has a positive impact on word-of-mouth communication by enabling customers to have positive feelings and thoughts about the brand.

Consumer adoption of Mobile Social Network Games (M-SNGs) in Saudi Arabia: The role of social influence, hedonic motivation and trust

Mobile Social Network Games (M-SNGs) are highly upgraded technological applications which are used immensely within the electronic game sector. The proliferation of M-SNGs have triggered the necessity to understand factors that affect consumers' behavioural intention to use M-SNGs in order to gain a competitive advantage amongst companies in the market. However, there is no such literature that examines this topic in the Saudi Arabian context. Hence, the main purpose of this study is to identify the different factors which might impact on the intention to use M-SNGs amongst the Saudi potential users. As such, the influence of the independent factors of Unified Theory of Acceptance and Use of Technology (UTAUT2) has been highlighted (i.e. performance expectancy, effort expectancy, hedonic motivation, social influence, facilitating conditions and price value). Moreover, the importance of ‘trust’ factor in impacting the behavioural intention of the Saudi citizens has also been evaluated; furthermore, the impact of social influence and hedonic motivation over trust has been discussed. Regarding methodology, data has been collected through a field survey questionnaire and a total of 386 participants responded through the convenient sampling technique. The findings indicated that all the proposed hypotheses were accepted with the greatest impact of social influence over trust (0.41) followed by the impact of performance expectancy over behavioural intention (0.29).

The impact of Performance Expectancy & Effort Expectancy on the usage of Social Media with Special Reference to Sri Lankan multispecialty Tertiary care Hospitals

The impact of Performance Expectancy & Effort Expectancy on the usage of Social Media with Special Reference to Sri Lankan multispecialty Tertiary care Hospitals

Factors impacting donors’ intention to donate to charitable crowd-funding projects in China: a UTAUT-based model

ABSTRACTThe new and increasingly popular tool of crowd-funding is widely used by non-profit organizations in China to raise money online for their charitable projects. In order to use this tool effectively, it is essential to understand donors’ motivations for supporting charitable projects. This study investigates the impact of performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC), sense of trust, and experience expectation on donors’ intention to donate to charitable crowd-funding projects, using a research model based on the Unified Theory of Acceptance and Use of Technology model. Empirical data were collected through a survey, and structural equation modeling was used to analyze 316 responses from users of the Tencent charitable crowd-funding platform in China. The results indicate that SI, sense of trust, EE, and PE significantly affect donors’ intention to donate to charitable crowd-funding projects. The impact of FC and experience expectation on donors’ intention is also positive; however, it is not very strong. Finally, this paper presents suggestions for how to increase users’ intention to donate money on charitable crowd-funding platforms.

How Performance Expectations Affect Managerial Replacement Decisions

In this paper, we empirically investigate how performance expectations affect top manager replacements. Specifically, we approximate unobservable performance expectations based on professional bookmaker betting odds on matches of the highest German soccer league, the Bundesliga, to capture the effect on the dismissal probability of team coaches. Soccer coaches, like top managers in other industries, are typically held accountable for the performance of their organization although their idiosyncratic contributions are not exactly measurable. Betting odds are highly immune to opportunistic manipulations on behalf of the coaches and provide accurate predictions of match outcomes. We show that an increase of performance expectations in the previous match by one standard deviation nearly doubles the dismissal probability of the coach, controlling for team performance and unobserved team heterogeneity. We consider our study to be a strong test for the impact of performance expectations on managerial replacements because accurate performance measures are available at frequent intervals in the controlled field environment of professional soccer. In other managerial contexts, in which performance measurement is typically noisier, the expectation effect should be even stronger. The limitations of transferability are also discussed.