Students' satisfaction on blended learning: The use of factor analysis

Tahar, Nor Fadilah; Mokhtar, Rashidah; Jaafar, Nur Huda; Zamani, Nur Diana; Sukiman, Safura Adeela; Ismail, Zuriati

doi:10.1109/ic3e.2013.6735965

Cited by 18 publications

(12 citation statements)

References 19 publications

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“…As the most popular IS framework to measure the success of information system techniques, it has been widely recognized and applied in various research areas. At present, ISS has been utilized to evaluate the success degree by more than 280 articles [30]. In particular, ISS has been utilized to many aspects of information system, for example, mobile payment [31], mobile banking, and mobile learning [32].…”

Section: Iss Modelmentioning

confidence: 99%

Consumers’ Intention to Adopt Blockchain Food Traceability Technology towards Organic Food Products

Lin

Chang

Chou

et al. 2021

IJERPH

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Establishing a blockchain food traceability system (BFTS) is increasingly important and urgent to resolve the contradiction between consumers’ intention regarding safe food selections and the spread of polluted foods. Using the advantages of blockchain, such as immutability, decentralization, openness, and anonymity, we can build trusted food traceability systems based on these important characteristics. With reliable information, traceability from production to sales can effectively improve food safety. In this research, multiple models, namely, the information success model (ISS) and the Theory of Planned Behavior (TPB) are formed into a conceptual integrated framework to study the intentions’ influenced factors of BFTS technology for Chinese consumers to help ensure food safety and the quality of Chinese organic food products. A face-to-face questionnaire survey with 300 valid responses was analyzed by Partial Least Square from the Chinese consumers focusing on the organic food products. This study found that the attitude and perceived behavioral control qualities significantly and positively affect the usage intention in adopting BFTS, while the subjective norms are positively but not significantly correlation with the usage intention in using BFTS. The above results will inform suggestions for productors and academics along with implications to promote BFTS’ usage intention.

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Section: Iss Modelmentioning

confidence: 99%

Consumers’ Intention to Adopt Blockchain Food Traceability Technology towards Organic Food Products

Lin

Chang

Chou

et al. 2021

IJERPH

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“…McLean in 1992 and it aims to provide a complete understanding of IS success by describing, recognizing, and clarifying the interactions among 6 vital constructs need for the successful adoption of IS. The IS model constructs comprise of information quality, system quality, service quality, system use/usage intentions, user satisfaction, and net system benefits Tahar et al (2013) and Ghazal et al (2018) 2012The technology acceptance model (TAM) TAM model is grounded on the theory of reasoned action. TAM explicates the issue of how end-users accept and utilize a particular technology such as BL.…”

Section: Sourcesmentioning

confidence: 99%

Blended Learning Adoption and Implementation in Higher Education: A Theoretical and Systematic Review

et al. 2020

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Technological innovations such as blended learning (BL) are rapidly changing teaching and learning in higher education, where BL integrates face to face teaching with web based learning. Thus, as polices related to BL increases, it is required to explore the theoretical foundation of BL studies and how BL were adopted and implemented in relation to students, lecturers and administration. However, only fewer studies have focused on exploring the constructs and factors related to BL adoption by considering the students, lecturers and administration concurrently. Likewise, prior research neglects to explore what practices are involved for BL implementation. Accordingly, this study systematically reviews, synthesizes, and provides meta-analysis of 94 BL research articles published from 2004 to 2020 to present the theoretical foundation of BL adoption and implementation in higher education. The main findings of this study present the constructs and factors that influence students, lecturers and administration towards adopting BL in higher education. Moreover, findings suggest that the BL practices to be implemented comprises of face-to-face, activities, information, resources, assessment, and feedback for students and technology, pedagogy, content, and knowledge for lecturers. Besides, the review reveals that the ad hoc, technology acceptance model, information system success model, the unified theory of acceptance and use of technology, and lastly diffusion of innovations theories are the mostly employed theories employed by prior studies to explore BL adoption. Findings from this study has implications for student, lecturers and administrators by providing insights into the theoretical foundation of BL adoption and implementation in higher education.

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“…As one of the popular IS theories to measure the information system technology’s success degree, the D&M ISS model has been widely recognized and applied in various research areas. More than 260 articles have applied this framework to measure the D&M ISS model ( Tahar et al, 2013 ). Particularly, in the context of information system, D&M ISS is applied to many aspects, such as mobile commerce ( Lin et al, 2019 ), mobile banking, and mobile learning ( Im et al, 2011 ).…”

Section: Background and Literature Reviewmentioning

confidence: 99%

An Empirical Study on the Dairy Product Consumers’ Intention to Adopt the Food Traceability’s Technology: Push-Pull-Mooring Model Integrated by D&M ISS Model and TPB With ITM

Lin

2021

Front. Psychol.

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Against the backdrop of frequent food safety problems, the importance of establishing food traceability systems has become increasingly important and urgent to address the contradiction between consumer information on safe food choices and the proliferation of problematic foods. The purpose of this study is to empirically study the influencing factors of Chinese consumers on the food traceability system in the food safety field (hereinafter referred to as FTS). In this study, multiple models—push factor (information system success model), pull factor (ITM theory), mooring factor (TPB), and switching intention—were integrated into the push-pulling-mooring theory (PPM) to form a conceptual PPM comprehensive model framework to study the switching intentions of two-dimensional code traceability technology for dairy products of Chinese consumers. By collecting the questionnaire survey, 305 valid questionnaires were collected from the consumers of middle- and high-end dairy products in China, and the influencing factors of thrust, pull, and mooring force were identified. The results showed that 10 of the 11 hypotheses were positive, but the impact of perceived risk on user satisfaction was negative. The important value of this study is to conduct a comprehensive empirical analysis of the key factors influencing consumer choice of traceable safe food through an integrated multi-model framework to help identify ways to establish and improve consumer willingness to use QR code traceable system products, to increase consumer confidence in the use of traceable and safe food choices.

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Students' satisfaction on blended learning: The use of factor analysis

Cited by 18 publications

References 19 publications

Consumers’ Intention to Adopt Blockchain Food Traceability Technology towards Organic Food Products

Consumers’ Intention to Adopt Blockchain Food Traceability Technology towards Organic Food Products

Blended Learning Adoption and Implementation in Higher Education: A Theoretical and Systematic Review

An Empirical Study on the Dairy Product Consumers’ Intention to Adopt the Food Traceability’s Technology: Push-Pull-Mooring Model Integrated by D&M ISS Model and TPB With ITM

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