scholarly journals Understanding Factors Affecting Smart Classroom Adoption

2022 ◽  
Vol 13 (1) ◽  
pp. 0-0
Keyword(s):  
Saudi Arabia ◽  
Knowledge Sharing ◽  
Structural Equation ◽  
Perceived Usefulness ◽  
Factors Affecting ◽  
Technological Factors ◽  
Smart Classroom ◽  
Intention To Adopt ◽  
Teachers And Students ◽  
Perceived Enjoyment

This study sheds light on the role of technological factors (i.e., perceived usefulness, perceived enjoyment, and compatibility), and knowledge sharing between teachers and students in predicting smart classroom adoption in the context of higher education in Saudi Arabia. We selected a sample of 285 instructors from 6 universities in Saudi Arabia. Structural equation modelling was utilised to analyse the data and test the suggested hypotheses. The results indicated that technological factors (i.e., perceived usefulness, perceived enjoyment, and compatibility) have a significant influence on intention to adopt smart classroom. Furthermore, knowledge sharing plays a significant role in predicting smart classroom adoption. The results offer meaningful implications for practice and theory.

Exploring College Students’ Intention to Adopt e-Textbooks: A Modified Technology Acceptance Model

Libri ◽  
2015 ◽  
Vol 65 (2) ◽  
Author(s):  
Chun-Hua Hsiao ◽  
Kai-Yu Tang ◽  
Chien-Hung Lin
Keyword(s):  
College Students ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Adopt ◽  
Proposed Model ◽  
Perceived Enjoyment ◽  
Acceptance Model

AbstractThis study aims to verify and propose a modified technology acceptance model (TAM) to understand the antecedents of e-textbook adoption among college students. An extended TAM is to investigate college students’ intention to adopt e-textbooks. Measurement items were drawn and modified from existing validated scales. After data were collected from college students in Taiwan, structural equation modelling was employed to examine and compare the proposed model with the original model. Moreover, two tests were conducted to determine the extent of common method variance in the current data. The empirical findings support the inclusion of perceived enjoyment in the TAM. The proposed model explained 43% of the variance in behavioural intention, but explained 71% of the variance in attitudes, suggesting an explication of how the different determinants influence college students’ adoption of e-textbooks. The significance of the chi-square difference between the two models indicates that our proposed model shows a better fit to the data than the TAM does. Besides, perceived enjoyment is a critical factor in the influence of attitudes towards the usage of e-textbooks. Perceived ease of use is more influential than perceived usefulness in the determination of attitudes.

scholarly journals Youths’ Social Media Adoption: Theoretical Model and Empirical Evidence

2016 ◽  
Vol 11 (2) ◽  
pp. 22 ◽  
Author(s):  
M. Shakaib Akram ◽  
Wafi Albalawi
Keyword(s):  
Social Media ◽  
Structural Equation ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
The Social ◽  
Perceived Enjoyment ◽  
Adoption Intention

<p>Social media has become a major source of communication and collaboration between individuals and among groups. The current paper investigates the underlying motives of social media adoption. The research identifies various determinants such as perceived connectedness, perceived enjoyment, perceived usefulness and perceived ease of use as the major influencers of social media adoption intention. Using the sample from Saudi Arabia an online survey is conducted. Structural equation modeling has been used to test the proposed relationships. The results reveal that individuals’ perceived connectedness and perceived enjoyment act as stimuli for their social media adoption intention. Moreover, perceived ease of use and perceived usefulness mediate these stimuli and the individuals’ social media adoption intention. The paper concludes with the recommendations for the academicians and the social media designers/developers.</p>

scholarly journals FACTORS AFFECTING CUSTOMERS’ ACCEPTANCE OF THE ADOPTION OF BLOCKCHAIN TECHNOLOGY AT DONG A COMMERCIAL JOINT STOCK BANK, HUE BRANCH

2020 ◽  
Vol 129 (5A) ◽  
Author(s):  
Duong Dac Quang Hao ◽  
Tran Thai Hoa ◽  
Nguyen Huu Dung
Keyword(s):  
Structural Equation ◽  
Personal Characteristics ◽  
Influential Factors ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Integrative Model ◽  
Perceived Ease Of Use ◽  
Systematic Random Sampling ◽  
Factors Affecting ◽  
Blockchain Technology

Abstract: This study aims to develop and test the integrative model of the factors affecting customers’ acceptance intention of the adoption of blockchain technology. Data were collected from a sample of 195 customers who have been conducting transactions at Dong A Bank – Hue branch. Samples are selected by using the systematic random sampling method. Structural equation modelling (SEM) is used to test the hypothesized relationships. The findings indicate that six out of eight tested relationships are supported. Perceived usefulness (PU) and Perceived ease of use (PEU) are the most critical factors affecting customers’ Attitude (AT). Attitude also has a direct and positive correlation to customers’ acceptance Intention (IN). Notably, Personal characteristics (PC) and Risk perception (RP) are the two most influential factors affecting Perceived usefulness. And, the Perceived ease of use factor is only affected by customers’ Self-command (SC). In general, this study contributes to enriching the existing knowledge of blockchain adoption in banks and helps banks figure out an efficient way to adopt blockchain technology.Keywords: customers’ acceptance, blockchain adoption, Dong A Bank, Hue branch

Factors Affecting Usage of Information Technology in Support of Knowledge Sharing

2012 ◽  
pp. 129-151
Author(s):  
Ngai-Keung Chow
Keyword(s):  
Information Technology ◽  
Knowledge Sharing ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Service Organizations ◽  
Perceived Ease Of Use ◽  
Key Factors ◽  
Factors Affecting ◽  
Managerial Implications ◽  
Barriers And Motivators

This study explores key factors affecting the usage of information technology (IT) tools in support of knowledge sharing in service organizations in Hong Kong. In a case study of five firms, the usage of IT tools is influenced by an array of factors acting as enablers, barriers, and motivators. The findings support extant theories on knowledge management (KM). This research discovers relationships between multiple factors and the usage of IT tools for knowledge sharing at various hierarchical levels. Operational factors like perceived usefulness, perceived ease of use, staff capability, and nature of work induce higher usage of IT for knowledge sharing. These findings and related analyses have managerial implications for firms engaging in service business.

A Formative Evaluation of Rendezvous

2016 ◽  
pp. 632-648
Author(s):  
Alton Y.K. Chua
Keyword(s):  
Knowledge Sharing ◽  
Behavioral Intention ◽  
Web Application ◽  
Formative Evaluation ◽  
Web Applications ◽  
Ease Of Use ◽  
Perceived Ease Of Use ◽  
Intention To Adopt ◽  
Qualitative Feedback ◽  
Perceived Enjoyment

Web applications that offer entertainment rarely support knowledge sharing. Conversely, applications that are intended for knowledge sharing rarely offer entertainment. The intent of this paper is therefore to propose the coalescence of knowledge sharing and entertainment in a Web application. The objectives of this paper are twofold: (1) to introduce a prototype called Rendezvous, which serves as a platform for both knowledge sharing and entertainment and (2) to conduct a formative evaluation of Rendezvous by soliciting feedback and its appeal for users' intention to adopt. A two-stage data collection plan was used. First, qualitative feedback was obtained from a group of 38 participants through focus groups. Thereafter, a questionnaire was developed and administered to 124 participants to assess users' intention to adopt. On the whole, the behavioral intention to adopt Rendezvous seems promising. Factors that seemed to influence behavioral intention to adopt included perceived utility, perceived enjoyment, perceived ease of use and social influences.

Identifying the Influential Factors of Knowledge Sharing in E-Learning 2.0 Systems

2020 ◽  
pp. 603-622
Author(s):  
Bing Wu
Keyword(s):  
Organizational Climate ◽  
Knowledge Sharing ◽  
Knowledge Creation ◽  
Self Efficacy ◽  
Structural Equation ◽  
Success Factors ◽  
Influential Factors ◽  
Perceived Usefulness ◽  
Positive Effects ◽  
E Learning

As the E-Learning 2.0 system is a tool to help members manage knowledge in an effective way, this study attempts to verify the constructs of knowledge creation self-efficacy, subjective norms, perceived usefulness, organizational climate, attitudes toward knowledge sharing and the intention to engage in knowledge sharing. A sample of 284 participants from companies in China that have already implemented E-Learning 2.0 systems participated in this study. Structural equation modeling is conducted to test the research hypotheses. Research results show that (1) Knowledge creation self-efficacy, perceived usefulness and organizational climates are found to have positive effects on the intentions toward knowledge sharing in E-Learning 2.0 systems; (2) Meanwhile, system success factors of communication quality and service quality are suggested to influence the perceived usefulness of E-Learning 2.0 systems; (3) As we expected, the intentions toward knowledge sharing in E-Learning 2.0 have positive effects on knowledge-sharing behavior. Therefore, by highlighting the role of the organizational climate, the findings of current research provide practical insights for understanding how organizations should reinforce fairness, innovativeness and affiliation to create a climate of reciprocity.

Factors Affecting Mobile Payment Adoption Intention: An Indian Perspective

2018 ◽  
Vol 19 (3_suppl) ◽  
pp. S72-S89 ◽  
Author(s):  
Amit Shankar ◽  
Biplab Datta
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Positive Impact ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Mobile Payment ◽  
Perceived Ease Of Use ◽  
Factors Affecting ◽  
User Centric ◽  
Adoption Intention

This study aims to identify the factors affecting mobile payment (m-payment) adoption intention in India by proposing a conceptual framework based on technology acceptance model (TAM). In addition to construct of TAM, four user-centric constructs have been added to evaluate m-payment adoption intention in India. The proposed research framework was empirically tested by data collected from 381 potential m-payment service users, through online and offline survey. Data were analysed using structural equation modelling (SEM) technique. The results exhibit that perceived ease of use (PEOU), perceived usefulness (PU), trust, and self-efficacy (SE) have a significant positive impact on m-payment adoption intention. However, subjective norms (SN) and personal innovativeness (PI) have no significant impact on m-payment adoption intention. Findings of the study have important theoretical and practical implications, particularly to understand important user-centric factors affecting m-payment adoption.

scholarly journals Smart technology for healthcare: Exploring the antecedents of adoption intention of healthcare wearable technology

2019 ◽  
Vol 7 (1) ◽  
Author(s):  
Ka Yin Chau ◽  
Michael Huen Sum Lam ◽  
Man Lai Cheung ◽  
Ejoe Kar Ho Tso ◽  
Stuart W. Flint ◽  
...  
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Health Belief ◽  
Wearable Technology ◽  
Cross Sectional Study ◽  
Perceived Usefulness ◽  
Technological Advancement ◽  
Cross Sectional ◽  
Intention To Adopt ◽  
Adoption Intention

Technological advancement and personalized health information has led to an increase in people using and responding to wearable technology in the last decade. These changes are often perceived to be beneficial, providing greater information and insights about health for users, organizations and healthcare and government. However, to date, understanding the antecedents of its adoption is limited. Seeking to address this gap, this cross-sectional study examined what factors influence users’ adoption intention of healthcare wearable technology. We used self-administrated online survey to explore adoption intentions of healthcare wearable devices in 171 adults residing in Hong Kong. We analyzed the data by Partial least squares – structural equation modelling (PLS-SEM). The results reveal that perceived convenience and perceived irreplaceability are key predictors of perceived usefulness, which in turn strengthens users’ adoption intention. Additionally, the results also reveal that health belief is one of the key predictors of adoption intention. This paper contributes to the extant literature by providing understanding of how to strengthen users’ intention to adopt healthcare wearable technology. This includes the strengthening of perceived convenience and perceived irreplaceability to enhance the perceived usefulness, incorporating the extensive communication in the area of healthcare messages, which is useful in strengthening consumers’ adoption intention in healthcare wearable technology.

scholarly journals Intention to Use Sustainable Green Logistics Platforms

2020 ◽  
Vol 12 (8) ◽  
pp. 3502 ◽  
Author(s):  
Su-Young Kwak ◽  
Woo-Sung Cho ◽  
Gil-Am Seok ◽  
Seung-Gyun Yoo
Keyword(s):  
Structural Equation ◽  
Service Providers ◽  
Statistical Processing ◽  
Equation Model ◽  
Perceived Usefulness ◽  
Network Effect ◽  
Intention To Use ◽  
Green Logistics ◽  
Checks And Balances ◽  
Factors Affecting

Recently, logistics platforms that facilitate interaction and the exchange and transaction of information have quickly emerged in the Korean domestic market. In order to further advance the development of logistics platforms into green logistics platforms in which participation in the early stages is not active, appropriate checks and balances are needed so that service providers, users, and platform operators can grow together in green logistics platforms. The purpose of this study is to empirically verify the factors affecting participants’ intentions to use green logistics platforms. Out of the 230 questionnaires distributed from 25 June to 11 July 2019, 14 were excluded from analyses due to unsatisfactory responses, while 216 responses were used for statistical processing. The structural equation model (SEM) was used to test hypotheses in this research. The results showed that the network effect and security factors influenced perceived usefulness, and trust did not affect perceived usefulness. Perceived usefulness also significantly influenced the intention to use green logistics platforms. The results of this study present strategies and directions for the future development of green logistics platforms.

The Factors Driving Continuance Online Shopping in Saudi Arabia

2010 ◽  
Vol 1 (2) ◽  
pp. 11-34 ◽  
Author(s):  
Talal Al-Maghrabi ◽  
Charles Dennis
Keyword(s):  
Saudi Arabia ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Regional Differences ◽  
Online Shopping ◽  
Perceived Usefulness ◽  
Factors Affecting ◽  
Central Regions ◽  
Acceptance Model ◽  
Intention To Continue

This study proposes a revised technology acceptance model that integrates expectation confirmation theory to measure regional differences with regard to continuance online shopping intentions in Saudi Arabia. Perceived usefulness, enjoyment, and subjective norms are determinants of online shopping continuance in Saudi Arabia. Women in the eastern, western, and central region groups are equivalent. The structural weights are also largely equivalent, but the regression path from perceived usefulness to enjoyment is not invariant between female shoppers in the eastern and western regions or in the eastern and central regions. This research moves beyond online shopping intentions and includes factors affecting online shopping continuance. The research model explains 60% of the intention to continue shopping online. Furthermore, this research suggests that online strategies cannot ignore the influence of either direct or indirect regional differences on continuance intentions; the model can be generalized across Saudi Arabia.

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