scholarly journals A Hybrid Model of Experiential Learning within the Social Virtual World of Second Life

2019 ◽  
Vol 12 (2) ◽  
Author(s):  
K. Brant Knutzen
Keyword(s):  
Technology Acceptance ◽  
Learning Outcomes ◽  
Virtual Worlds ◽  
Social Constructivism ◽  
Virtual World ◽  
Structural Equation ◽  
Learning Experience ◽  
Equation Modeling ◽  
Future Research ◽  
Virtual Identity

This study examined how multi-user virtual worlds can enhance learning, by extending and refining a prior VR-based model to include two new constructs: virtual identity, and social constructivism. The fit of the model was analyzed using structural equation modeling (SEM), and the results supported both the extension and the hypothesized refined model. Findings: VR features were found to indirectly impact on the learning outcomes, mediated by the perception of usability and the learning experience. The learning experience was measured by seven individual psychological factors: presence, virtual identity, motivation, cognitive benefits, agentic learning, social constructivism, and reflective thinking. These factors mediated the learning outcomes, measured by the perception of learning effectiveness and satisfaction, and may have a range of implications for the instructional design of learning activities using the virtual world. This research blends a technology acceptance model with the technology-mediated learning perspective to advance the development of a hybrid theoretical framework as a basis for future research into enhanced learning within a social virtual world.

Understanding the Moderating Impact of Context-Awareness and Ubiquity on Mobile Government Services Adoption

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Technology Acceptance ◽  
Context Awareness ◽  
Structural Equation ◽  
Moderating Effect ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Policy Implications ◽  
Equation Modeling ◽  
Future Research ◽  
The Impact

The factors of context-awareness and mobile ubiquity are major components in the development and diffusion of any mobile technology-driven applications and services. Principally in the m-government development space, the issues of context-awareness and ubiquity are crucial if m-government initiatives are to be successful. The moderating effect of context-awareness and ubiquity on mobile government adoption is examined for 409 students from a Chinese University based on the Technology Acceptance Model. Using the Structural Equation Modeling technique, the results indicate that perceived ease of use (PEOU) was significantly related to intention to use, but perceived usefulness (PU) did not have a significant effect on mobile government adoption. The moderating analysis indicated that context-awareness significantly moderated the impact of PU but had no moderating effect on PEOU. Also, it was discovered that ubiquity was significant in moderating both the PEOU and PU on mobile government adoption. Policy implications and directions for future research are presented.

scholarly journals Role of Personalization in Continuous Use Intention of Mobile News Apps in India: Extending the UTAUT2 Model

Information ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 33 ◽  
Author(s):  
Yanxia Cheng ◽  
Saurabh Sharma ◽  
Prashant Sharma ◽  
KMMCB Kulathunga
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Quantitative Methods ◽  
Moderating Effect ◽  
Sample Survey ◽  
Equation Modeling ◽  
Future Research ◽  
Performance Expectancy ◽  
Continuous Use

The aim of this study was to empirically examine the extended unified theory of acceptance and use of technology 2 (UTAUT2) model by adding “personalization” as one of the antecedents, as well as a moderator to determine the key factors for the continuous use intention of mobile news applications (apps). For this study, an online and manual sample survey of 309 respondents, who had used the news app earlier, was collected and analyzed, using quantitative methods such as explanatory and confirmatory factor analysis, structural equation modeling, and Hayes process for finding moderating effects among variables. The findings of the direct effect demonstrated that performance expectancy (PE) has the most influential effect on continuous use intention, followed by habit (HT), hedonic motivation (HM), and facilitating conditions (FC). Furthermore, the outcome of tests for the moderating effect of personalization between UTAUT2 constructs and continuous use intention (CUI) showed that personalization has a significant moderating effect on performance expectancy and habit. Therefore, this research establishes the key role of PE, HT, HM, and FC as main factors that trigger the users’ continuous use intention of news apps and provides an integrated framework to assess the moderating effect of personalization on technology acceptance. The findings of the research expand the existing literature on news applications and provide foundation for future research studies in the area of mobile news apps.

scholarly journals An Empirical Study on the Acceptance of 4D BIM in EPC Projects in China

2019 ◽  
Vol 11 (5) ◽  
pp. 1316 ◽  
Author(s):  
Pan Gong ◽  
Ningshuang Zeng ◽  
Kunhui Ye ◽  
Markus König
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Construction Projects ◽  
Behavior Pattern ◽  
Cost Savings ◽  
Information Modeling ◽  
Equation Modeling ◽  
Future Research ◽  
Leading Role ◽  
Building Information

The engineering-procurement-construction (EPC) method has the potential to help construction projects achieve sustainable performance, e.g., the contractor’s early involvement, cost savings, and a reduced schedule. However, high uncertainties and complexities are contained in EPC projects. 4D BIM (Building Information Modeling) with abilities to simplify the time and space relationships of construction activities and support multi-party information sharing is beneficial to EPC project management. The behavior pattern of the project personnel toward accepting 4D BIM information systems or tools needs to be explored. Therefore, a research model of the acceptance of 4D BIM in EPC projects with eight latent constructs is proposed through a literature review of technology acceptance theories. Data is collected from a questionnaire survey and interviews. Research hypotheses are examined using PLS-SEM (partial least squares-structural equation modeling). Empirical evidence is collected from China, and implications to the developing countries facing the challenge of developing a technology-intensive construction industry are provided: (1) Adopting 4D BIM in the EPC project is beneficial; (2) the task-technology fit plays a leading role in technology acceptance; (3) the management incentive is inefficient at the operational stage. Suggestions for future research on 4D BIM acceptance in complex construction projects with abundant data and alternative models are provided.

How food retailing changed in Turkey: spread of self-service technologies

2018 ◽  
Vol 120 (2) ◽  
pp. 290-308 ◽  
Author(s):  
Ipek Kazancoglu ◽  
Emel Kursunluoglu Yarimoglu
Keyword(s):  
Technology Acceptance ◽  
Perceived Risk ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Situational Factors ◽  
Equation Modeling ◽  
Future Research ◽  
Perceived Ease Of Use ◽  
Content Type

Purpose The purpose of this paper is to predict customers’ intentions to use self-checkouts based on the technology acceptance model (TAM). Design/methodology/approach The questionnaire consisted of constructs taken from the existing literature such as perceived ease of use (PEU), perceived usefulness (PU), behavioral intentions, technology anxiety (TA), perceived risk (PR), need for interaction (NI), and situational factors (SF). Before preparing the questionnaire, the focus group studies were organized to gain deeper insights regarding customers’ views about self-checkouts. Based on the results of the focus groups, some items in the constructs were adapted, and the questionnaire was generated. The field study was conducted via face-to-face survey with 500 customers chosen by stratified random sampling. Confirmatory factor analysis and structural equation modeling were used to validate the relationships hypothesized in the conceptual model among constructs. Findings Out of the 16 hypotheses, 10 were found to be significant. The hypotheses related to the effects of PR, PEU, PU, intentions, while the effects of NI on PU and intentions; the effects of SF on intentions were not accepted in the study. According to the findings, PEU, PU, and TA affected intentions whereas PR, NI, and SF did not. Research limitations/implications There were some limitations related to demographics, attitudes, SF, and actual usage of self-checkouts. Practical implications To avoid queues, retailers should install a sufficient number of user-friendly and simple interfaced self-checkouts with well-trained employees to encourage usage and reduce the perceived risk and anxiety. Originality/value The main contribution of this study was that the effects of different constructs were measured on Turkish customers’ intentions to use self-checkouts, which could be used in formulating marketing strategies as well as considering future research directions. The paper also provided additional insights into the effects of SF, TA, NI, and PR, all of which were added to the TAM in this study.

scholarly journals A model of multiple factors influencing learner retention in MOOC during the COVID-19 pandemic

2021 ◽  
Author(s):  
Zhonggen Yu
Keyword(s):  
Structural Equation ◽  
Learning Experience ◽  
Interdisciplinary Cooperation ◽  
Equation Modeling ◽  
Future Research ◽  
Course Structure ◽  
Structure Information ◽  
Multiple Factors ◽  
Factors Influencing ◽  
Learner Interaction

Abstract This study aims to explore multiple factors influencing learner retention in Massive Open Online Courses (MOOC) during the COVID-19 pandemic. To address this, a research method is developed based on structural equation modeling analysis and 14 research hypotheses. The proposed research model and research hypotheses are empirically tested with 2131 international participants. According to the results, support is found for eleven of the fourteen research hypotheses. We confirmed 14 factors influencing learner retention (LR) in MOOC, i.e. Instructor to Learner Interaction, Instructor Support, Instructor Feedback, Learner to Learner Interaction, Course Content, Course Structure, Information Delivery, Perceived Effectiveness, Quality Resources, Flexibility and Scaffolding for Diversity, Technology, Focus of Subjects, Pre-Course Information, and Timing. The result is helpful and beneficial for designers and manufacturers of MOOC to improve the quality of the products and facilitate online or blended learning during this special time. It could also help students improve their learning experience. Future research could be conducted into influencing factors of LR in MOOC with interdisciplinary cooperation.

Extending the Learning Technology Acceptance Model of WeChat by Adding New Psychological Constructs

2020 ◽  
Vol 58 (6) ◽  
pp. 1121-1143
Author(s):  
Zhonggen Yu
Keyword(s):  
Language Learning ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Large Scale ◽  
Equation Modeling ◽  
Future Research ◽  
Learning Technology ◽  
Significance Level ◽  
Acceptance Model

The extended constructs of technology acceptance model (TAM) have rarely been linked to psychological influence factors. This study complements for the missing link in literature through structural equation modeling and a nonparametric Mann–Whitney U test based on the data obtained from a large-scale questionnaire survey. It is concluded that (a) conformity behavior can be integrated into the TAM to establish a fit model in WeChat use in language learning at the significance level .05, (b) self-esteem can be integrated into the TAM to establish a fit model in WeChat use in language learning at the significance level .05, and (c) there are no significant gender differences in the extended constructs in the TAM in WeChat use in language learning at the significance level .05. Future research may extend the constructs further in psychology in order to complement for missing links in current literature. It is also promising to establish a sociocultural TAM with respect to mobile device acceptance in both western and eastern contexts.

scholarly journals Understanding the Intention to Use Virtual Currency in a Gamified E-Commerce Context

2022 ◽  
Vol 12 (1) ◽  
pp. 1-14
Author(s):  
Anoop George ◽  
Manu Melwin Joy ◽  
Muhammed Sajid. ◽  
Muhammed Nowfal S.
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Equation Modeling ◽  
Future Research ◽  
Intention To Use ◽  
Virtual Currency ◽  
Intent To Use ◽  
Future Research Directions ◽  
Acceptance Model

Gamification is all about using game features in a serious context to encourage people to use products or services. E-commerce has used gamification for marketing determinations to strengthen intent to use. Technology Acceptance Model is employed in the current study to investigate the intention to use gamified virtual currency in the Indian context. A survey was used to accumulate records from a random sample of relevant virtual currency users in an e-commerce context using a quantitative approach. Structural equation modeling (SEM) is expended for data analysis in this research. This empirical research shows the incremental impact of the users' perceptions of the ease of use and usefulness on intention to use virtual currency. The variable attitude seems to be not mediating significantly. There are also discussions, restrictions, and future research directions mentioned in this study

scholarly journals Understanding the Quality Determinants that Influence the Intention to Use the Mobile Learning Platforms: A Practical Study

2019 ◽  
Vol 13 (11) ◽  
pp. 157 ◽  
Author(s):  
Muhammad Turki Alshurideh ◽  
Said Abdelrahim Salloum ◽  
Barween Al Kurdi ◽  
Azza Abdel Monem ◽  
Khaled Shaalan
Keyword(s):  
Technology Acceptance ◽  
United Arab Emirates ◽  
Mobile Learning ◽  
Structural Equation ◽  
Online Survey ◽  
Structural Model ◽  
Learning Experience ◽  
Internet Technology ◽  
Equation Modeling ◽  
Learning Platform

<p class="0abstract">There is a widespread use of Internet technology in the present times, because of which universities are making investments in Mobile learning to augment their position in the face of extensive competition and also to enhance their students’ learning experience and efficiency. Nonetheless, Mobile Learning Platform are only going to be successful when students show acceptance and adoption of this technology. Our literature review indicates that very few studies have been carried out to show how university students accept and employ Mobile Learning Platform. In addition, it is asserted that behavioral models of technology acceptance are not equally applied in different cultures. The purpose of this study is to develop an extension of Technology Acceptance Model (TAM) by including four more constructs: namely, content quality, service quality, information quality and quality of the system. This is proposed to make it more relevant for the developing countries, like the United Arab Emirates (UAE). An online survey was carried out to obtain the data. A total of 221 students from the UAE took part in this survey. Structural equation modeling was used to determine and test the measurement and structural model. Data analysis was carried out, which showed that ten out of a total of 12 hypotheses are supported. This shows that there is support for the applicability of the extended TAM in the UAE. These outcomes suggest that Mobile Learning Platform should be considered by the policymakers and education developers as being not only a technological solution but also as being new e-learning platform especially for distance learning students.</p>

scholarly journals HR Professionals’ Intention to Adopt and Use of Artificial Intelligence in Recruiting Talents

2020 ◽  
Vol 2 (2) ◽  
pp. 15-30
Author(s):  
Mohammad Sarwar Alam ◽  
Tohid-Uz-Zaman Khan ◽  
Sanjib Sutra Dhar ◽  
Kazi Sirajum Munira
Keyword(s):  
Artificial Intelligence ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Quantitative Research ◽  
Deductive Reasoning ◽  
Research Strategy ◽  
Equation Modeling ◽  
Future Research ◽  
Service Firms ◽  
Cross Sectional

Purpose: The present study is an attempt to explore the antecedents of behavioral intention to use artificial intelligence (AI) in recruiting talents by the HR professionals in Bangladesh. Drawing on the principle of the unified theory of acceptance and use of technology (UTAUT), which was built on the premise of technology acceptance model, the theory of planned behavior, the theory of reasoned action, and so forth, the current study has been conducted in the context of Bangladesh. Method: Building on the understanding of the deductive reasoning approach, the investigation followed the positivism paradigm via a quantitative research strategy. We collected 226 replies from the end-users of AI through a self-administrative survey. We used structural equation modeling (SEM) via SmartPLS. Results: Henceforth, the results in the findings filmed that all the hypotheses were supported. Implications: One of the important implications of the present study is the use of the intervention mentioned in this study for the manufacturing and service firms. Limitation: The major limitation is the use of cross-sectional data which implies that future research must use both cross-sectional and longitudinal data for the generalizability of the observed findings.

scholarly journals Predicting Chinese University Students’ E-Learning Acceptance and Self-Regulation in Online English Courses: Evidence From Emergency Remote Teaching (ERT) During COVID-19

SAGE Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 215824402110613
Author(s):  
Sijing Zhou ◽  
Yu Zhou ◽  
Huiling Zhu
Keyword(s):  
Technology Acceptance ◽  
Learning Strategies ◽  
Structural Equation ◽  
Qualitative Data ◽  
Course Design ◽  
Learning Experience ◽  
Self Regulation ◽  
Equation Modeling ◽  
Chinese University ◽  
E Learning

A growing concern for online course learning is to what extent learners are concentrated and self-regulated when they are isolated from their classmates and instructors. To address this issue, this study collected both quantitative and qualitative data from a sample of 580 Chinese university learners from varied majors, who were taking online English courses in Emergency Remote Teaching (ERT) mode during COVID-19. This study identified specific psychological and contextual factors that impact learners’ e-learning acceptance and online self-regulation, based upon Technology Acceptance Model (TAM). Learners’ actual use of three sub-processes of self-regulated strategies, namely, goal setting, task strategies, and self-evaluation was also examined. Partial least squares (PLS)-structural equation modeling (SEM) technique was used to test hypotheses and proposed research model. The quantitative results indicate that media richness, as a contextual factor, and social presence and flow, as two typical psychological factors, are determining antecedents that impact Chinese learners’ e-learning acceptance. Meanwhile, quantitative findings show that learners’ behavioral intention to use e-learning is a main contributor of their use of all three sub-processes of self-regulated learning strategies. Furthermore, thematic analysis was conducted to study the qualitative data, revealing that learners held rather divided and mixed perceptions regarding online learning experience. These findings have important implications for effective online English course design and implementation.

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