行為意圖、激勵、壓力對數位科技應用行為的影響

Based on a Technology Acceptance Model, this study investigates and increases the understanding of how perceived technological attributes (perceived technological implicitness and compatibility) and internal beliefs (perceived usefulness and perceived ease of use) will influence the behavioral intention of accepting licensing in new technology. This study adopts the Structural Equation Modeling approach. Based on the 244 correspondents from Taiwan's four high technology industries, 63% of the variance of licensees' behavioral intention can be accounted for by perceived usefulness, perceived technological implicitness, and compatibility in one theoretical mediate model. However, the evidence from Taiwan's 95 biotechnology companies indicates that 64% of the variance of behavioral intention can be explained by an alternative theoretical mediate and moderate model that consists of perceived technological compatibility, perceived usefulness and perceived ease of use.

In recent four years the annual sales in department stores are the highest in the retail industries which show the important of department stores in the retail industries. In Taiwan , the competition of department stores are so intense that it is hard to survive in the industry. Baker, Levy and Grewal( 1992) discovered that when it is hard to get advantage in product, price, promotion and place, the store itself is the chance to stand out in the market. This research applies “ambient,” “design” and “social” factors as the dimension of store atmosphere, to affect consumer emotions、consumer satisfaction and behavioral intention and how the three dimension of store atmosphere can affect behavioral intention. The subjects of this research are people who have work experience and had been to Shin Kong Mitsukoshi Xinyi Place. This research use SEM (structural equation model) to analyze data. The conclusions are as follow: 1. Store atmosphere in Shin Kong Mitsukoshi Xinyi Place directly and significantly affects customer emotion. According to the data the three dimensions of store atmosphere can successfully affect customer emotion. 2. Store atmosphere in Shin Kong Mitsukoshi Xinyi Place can’t directly affect behavioral intention however, through customer emotion and customer satisfaction can indirectly affect behavioral intention. 3. The correlations between store atmosphere, customer emotion, customer satisfaction and behavioral intention are verified. According to this research store atmosphere in Shin Kong Mitsukoshi Xinyi Place can successfully affect consumer emotions, consumer satisfaction, and behavioral intention.

Base on the theory of planned behavior (TPB) (Ajzen, 1985; 1991), this study integrates a dimension of exercise habit with TPB to develop a research framework for understanding human behavior in sports participation. A total of 287 questionnaires were distributed to those respondents who are competitors in the 2013 AMD Tour of East Taiwan. Structural equation model (SEM) was used to estimate the fit of the overall model and to analyze the relationship between variables. According to the results, behavioral intention was affected by behavioral attitude, and behavior was affected by behavioral intention. Attitude was affected by subject norm behavioral, but subject norm would not affect behavioral intention. Exercise habit both significantly affected behavioral intention and behavior performance. Based on the findings of this study, conclusion and suggestions were proposed.

Due to advances in Web-based technologies, ample opportunities exist to utilize knowledge-based systems for facilitating online consumer decision-making and for providing recommendation services for consumers. This thesis focuses on online recommendation agents that offer shopping advice based on user-specified needs and preferences. Because of the high risks and uncertainties inherent in online environments, effective recommendation agents need to be trustworthy. By extending interpersonal trust to trust in technological artifacts, consumers' trust in a recommendation agent is defined to include three belief components: competence, benevolence, and integrity. This thesis examines user acceptance of online recommendation agents and trust formation in the agents and it empirically investigates agent features and capabilities that increase the trust in them so that a higher chance of user acceptance can be realized. Two important agent capabilities are tested: 1) explanation facilities and 2) decision strategy support. An integrated Trust-TAM (Technology Acceptance Model) was tested and the results show that trust in agents influences consumers' behavioral intentions. Trust in agents exerts a direct impact on the intentions to adopt recommendation agents as well as an indirect impact via the perceived usefulness of the agents. Written protocols were collected and analyzed to identify the major processes that build and inhibit consumers' trust in recommendation agents. The results highlight the important roles of several processes in cultivating and inhibiting agent trust, such as expectation confirmation, utility assessment, and information sharing. Regarding explanation facilities, this research tests three types of explanations - how explanations, why explanations, and guidance. The results indicate that the use of different types of explanations increases different trusting beliefs: the use of how explanations increases competence and benevolence beliefs; the use of why explanations increases the benevolence belief; and the use of guidance increases the integrity belief. The impact of decision strategy support on consumers' trust and adoption of online recommendation agents was also investigated together with explanation facilities. Three types of recommendation agents with different levels of decision strategy support were compared. Both the benefits and costs of providing a high level of decision strategy support were examined. The results suggest that recommendation agents with decision strategy support capabilities and explanation facilities deliver benefits to users (e.g., more useful and trustworthy) and have a higher chance of being adopted by users, when the use of the agents does not require much additional effort. This research has addressed an important gap that exists in our current understanding of trustworthy online recommendation agents. It also makes a key contribution by empirically testing the effects of explanation facilities and decision strategy support on consumers' trust and acceptance of online recommendation agents.

This study was aimed at exploring the influence of practical intelligence, goal orientation and self-efficacy on preschool teachers' job performance. Face to face questionnaire survey was conducted with 370 preschool teachers from Kaohsiung City, Kaohsiung County and Pingtung County. All collected empirical data were analyzed by stepwise regression analysis, hierarchical multiple regressions and structural equation modeling. The findings in the research showed shown that practical intelligence was positively related to job performance. Self-efficacy was positively related to job performance in combination with practical intelligence and goal orientation. Based on the findings, suggestions for future study was included in this study.

The rapid development of Information and Communication Technology (ICT) opened up new possibilities for teaching and assessment practices in higher education. This has encouraged educational institutions worldwide to change assessment format from paper-based to computer-based assessments. In the higher education context, teachers’ behavioural intention to adopt e-assessments is affected by a number of factors. The literature in the field of e-assessment adoption suggests that there is a need to better understand and conceptualise e-assessment adoption and the range of behavioural factors influencing e-assessment adoption decision-making in higher education. This study aims to address that need. The study employed an exploratory sequential approach with mixed methods. It utilised both qualitative and quantitative research methodologies to meet the research aim: to investigate the e-assessment adoption process and related experiences and evaluations as reported by Computer and Information Science (CIS) teachers at a higher education institution in the UAE. The investigation was performed via proposing, designing, testing and developing a conceptual model for e-assessment adoption, building on the chosen most relevant ICT innovation adoption models (TRA1, TPB2, TAM3, and UTAUT4), commonly known in the field of CIS. The study found that the CIS teachers’ behavioural intention to adopt e-assessments depends primarily on the technology-assessment fit, the perceived usefulness, and the social influence. It was also discovered that the perceived self-efficacy has a negative impact on computer anxiety, and at the same time, it has a positive impact on perceived ease-of-use. Furthermore, it was found that the perceived ease-of-use and the facilitating conditions have a positive impact on behavioural intention. However, the impact of those two factors is not as significant as the other factors (technology-assessment fit, perceived usefulness, and social influence). _______________________________________________________________ 1 Theory of Reasoned Action Model (Fishbein & Ajzen, 1975) 2 Theory of Planned Behaviour Model (Ajzen, 2002) 3 Technology Acceptance Model I and II (Davis, 1989) 4 Unified Theory of Acceptance and Use of Technology Model (Venkatesh, Morris, Davis, and Davis (2003)

The more and more efficiently the community in owning and determining vehicle choices has resulted in increasingly increasing the trend of private vehicle use as the primary transportation mode replacing public transportation. Planned Behavior Theory is expected to accurately predict people's intentions and behavior in using private vehicles. The variables used are the independent variable Attitude Toward, Subjective Norm and Perceived Behavioral Control, then Intention Behavior as the intervening and Behavior dependent variable. The research population is the community of private motorists using cars and motorbikes in the city of Makassar. The number of samples used was 210 respondents. The sampling used is Purposive Random Sampling. Primary data and information through an open questionnaire. Analysis of research data with the Structural Equation Model with IBM AMOS Software. The results obtained show that attitude toward intention to behavior means that attitude variables compared to Subjective Norm and Perceived Behavioral Control variables predominantly affect Intention and Behavior. The Attitude Toward of vehicle users who are influenced by Behavior belief will ensure that the vehicles they use can make social values increase, will be more valued and respected. Vehicles are not only a means of transportation but also a symbol of a person's establishment.

The field of education has witnessed a rapid expansion in the utilization of Artificial Intelligence (AI) technologies, fundamentally transforming classroom instruction. Thus, it is critical for pre-service teachers to implement AI-powered technology in their future teaching. This study was conducted in six higher education institutions (HEIs) in China and is grounded in resource-based theory, the technology acceptance model (TAM), and relevant literature. SmartPLS 4.0 was utilized to develop a partial least squares structural equation model (PLS-SEM) to examine the relationships among AI capability (AIC), creativity, self-efficacy, Technological Pedagogical Content Knowledge (TPACK), and pre-service teachers’ behavioural intentions towards AI-assisted teaching. The findings indicated that HEIs’ AIC is a significant predictor of pre-service teachers’ behavioural intentions towards designing AI-assisted teaching. It also predicts their creativity, self-efficacy, and TPACK. Furthermore, creativity, self-efficacy, and TPACK were found to mediate the relationships between HEIs’ AIC and pre-service teachers’ behavioural intentions. These findings suggest that HEIs should support the development of pre-service teachers by enhancing AIC, including resources (data and technology) and awareness (reform and innovation), providing insights into AI integration in higher education within the Asia-Pacific context.

The research sought to assess mathematics teachers’ acceptance of Information and Communication Technology (ICT) integration into teaching and learning at the secondary schools. This study was a cross-sectional survey that gathered data with structured questionnaire. The population was mathematics (core and elective) teachers of secondary schools within the Ashanti region of Ghana. Purposive sampling was used to select mathematics teachers from 41 secondary schools in the region. In all, there were 207 usable questionnaires for the study. Structural Equation Modelling (SEM) was run in Amos (v.23) to estimate the path coefficients of the various hypotheses, using Technology Acceptance Model (TAM). The study established that perceived ease of use predicted both perceived usefulness and attitude towards use; perceived usefulness predicted attitude towards use and behavioral intention; attitude towards use of technology predicted the behavioral intention to adopt technology in teaching and learning, while behavioral intention also predicted actual usage of ICT in teaching and learning of mathematics. As an extension to the original TAM, the study found school related factors as percussor to perceived usefulness and perceived ease of use. Similarly, ICT training was found to greatly influence perceived usefulness and perceived ease of use. Keywords: ICT, mathematics education, structural equation modelling, technology acceptance model

Dyslexia research in China is crucial because of limited awareness, lack of tools, and insufficient support. These issues seriously hinder students' academic success. To address this gap, this study examines how history-related short videos on social media platforms influence the learning behavior of students with dyslexia. This study introduces dyslexia as a moderating variable within the Technology Acceptance Model (TAM) framework for the first time, addressing a significant gap in understanding how learning differences influence technology adoption in educational contexts. History poses special challenges for learners with dyslexia because it requires extensive reading and complex texts. Short videos may offer a more accessible and engaging alternative. A cross-sectional study was conducted among 400 university students in Hebei province, China using a self-administered questionnaire. Several scales were used in the survey: Quality of Content (CQ), Perceived Ease of Use (PEOU), Perceived Usefulness (PU), Behavioral Intention (BI), Dyslexia Scale, and Learning Behavior (LB). Descriptive statistics and structural equation modeling (SEM) analyses were performed. A P value of <0.05 was considered significant. The results show positive correlations among key variables. Content quality was positively correlated with perceived usefulness (r=0.369), perceived ease of use (r=0.329), and behavioral intention (r=0.203), all p<0.01. Ease of use is also associated with usefulness (r=0.323), and usefulness with intention (r=0.249). Learning intention further predicts behavior (r=0.359). However, the direct link between ease of use and behavioral intention is not significant (p=0.17). Dyslexia significantly moderates the relationship between PEOU and PU (p<0.001). However, it does not significantly affect the relationships between (1) PEOU and BI or (2) PU and BI, though these effects approach marginal significance. Students with dyslexia show different levels of learning intention depending on content quality, ease of use, and usefulness. Dyslexia significantly moderates some of these relationships. The findings suggest that history-related short videos can be effective educational tools, especially when they emphasize usability and usefulness.

Indonesia is a country with the second highest number of Japanese language learners in the world. However, with the main language of Indonesia being derived from the roman alphabets, it makes Indonesian students hard to get used to learning Japanese alphabets, especially Kanji. This study aims to develop a gamified mobile learning application following the Octalysis gamification framework, and assess its impact in garnering student’s acceptance to enhance their Japanese Kanji learning experience. This study was conducted quantitatively using the Technology Acceptance Model, and analyzed through the Structural Equation Model. The data were collected via questionnaires from 194 members of the local Japanese learning community. The variables analyzed in this research are Perceived Usefulness, Perceived Ease of Use, Attitude Towards Using, and Behavioral Intention. All variables are tested for validity and reliability using SPSS Statistics, and structural equation model analysis using SPSS AMOS. The results showed positive significant correlations between Perceived Usefulness and Attitude Towards Using, Perceived Ease of Use and Attitude Towards Using, and Attitude Towards Using and Behavioral Intention. The result also noted a negative correlation between Perceived Usefulness and Behavioral Intention. Each variable contributes to the acceptance of the gamified mobile learning application with a strong emphasis on Perceived Ease of Use, and a mild emphasis on Perceived Usefulness.

This study examined the influence of second/foreign language (L2) writing selves, English academic writing learning experience (WLE), and education level (EDUL) on AI adoption by English‐as‐a‐foreign‐language learners in English academic writing. Perceived usefulness (PU), perceived ease of use (PEU), attitude towards use (ATU), behavioral intention (BI), the ideal and ought‐to L2 writing selves, and WLE were selected as latent variables. Hypotheses were established based on a review of relevant studies. Quantitative data were collected via an online questionnaire from 316 participants (166 undergraduates and 150 postgraduates) and analyzed using structural equation modeling. Our findings revealed that although L2 writing selves positively shaped their perceptions of AI, neither the ideal/ought‐to selves nor WLE directly predicted their intentions to use such tools. While the ideal self indirectly influenced ATU and BI through PEU and PU, the indirect effect of the ought‐to self was mediated by PU. Additionally, EDUL was found to positively moderate two pathways. The model explained 76.1% of the variance in BI. Through integrating the L2 motivational self system (L2MSS) and the technology acceptance model (TAM) in the English academic writing context, this study provided pedagogical suggestions to English academic writing teachers.

ABSTRACTMotorcycle express cargo delivery service (MECDS), part of the ‘sharing economy’, allows utilisation of motorcycle surplus capability without requiring additional investment. Investigating interrelationships of factors that influence MECDS use, this research uses a framework based on theory of planned behaviour (TPB), technology acceptance model (TAM), and perceived risk. The analysis applies partial least squares structural equation modeling (PLS-SEM) to explore path relationships of influential factors. To elaborate heterogeneity, it applies PLS multi-group analysis by gender and prior MECDS use, and PLS prediction-oriented segmentation for latent variables. A survey of 287 valid respondents included users of GoGoVan's MECDS and nonusers Except for subjective norm, all factors from TPB and TAM can influence and explain, either directly or indirectly, behaviour intention about using MECDS. Perceived usefulness mediates the impact of perceived ease of use on behaviour intention; user type and also latent variables moderate the model. Managerial implications are provided in conclusion.

The use of electronic incident reporting system: Influencing factors

PurposeThis study aims to examine university students’ acceptance of e-learning systems in Pakistan. A Web-based learning system is a new form of utilizing technological features. Although, developed countries have initiated and established the concept for e-learning, developing countries require empirical support to implement e-learning.Design/methodology/approachThis paper further explains a conceptual model that is based on the technology acceptance model (TAM). Earlier theories such as the theory of reasoned action (TRA), theory of planned behaviour (TPB) and decomposed theory of planned behaviour (DTPB) have been conducted on user behavioural intention (BI). TAM is considered as the most relevant framework in a Web-based context. To analyse the present study’s hypothesized model, structural equation modelling (SEM) has been used to statistically analyse self-reported sample data from 424 university students.FindingsThe results revealed that TAM, with the combination of new constructs, explains university students’ acceptance of the e-learning system reasonably well. Additionally, work life quality (WLQ) and facilitating conditions (FC) have a greater influence on the BI and the actual use (AU) of the e-learning system, respectively.Originality/valueThe study has also provided valuable implications for academics and practitioners for ways to enhance the acceptance of the e-learning system in the higher education of Pakistan.