scholarly journals Structural Equation Modeling for Investigating the Factors Affecting the Faculty Members Adoption and Use of E-Learning Platform in Academic Purposes: An Empirical Validation in Higher Educational Context

2018 ◽  
Vol 7 (2) ◽  
pp. 21-29
Author(s):  
Hitesh Choudhury ◽  
Guruprasad Khataniar
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Faculty Members ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Factors Affecting ◽  
East Indian ◽  
North East ◽  
Learning Platform ◽  
E Learning

E-learning Platform is one of the most flexible and important innovations for delivering education in modern educational system. However successful implementation of the E-learning Platform (ELP) depends on the users behavioral intension of adoption. Most of the Higher educational institutions in North-East Indian region is using Information and Communication Technology in teaching and learning process and moving towards the adoption of ELP. In this paper the main focus is to examine the factors affecting the faculty members perception and adoption of E-learning platform in academic purposes. In the theoretical framework of this study Technology Acceptance Model (TAM) is used to analyze the perception and behavioral intension of faculty members adoption and use of E-learning platform in academic purposes. The theoretical framework is proposed that includes the core construct of TAM namely Perceived Usefulness, Perceived Ease of Use, Attitudes towards using together with two external variables namely E-learning Self Efficacy and Job Relevance. The data were collected from 81 full time/part time faculty members of randomly selected University/Colleges in North East Indian region through a self-designed questionnaire comprising 21 items that represent the above mentioned six constructs. The data were used to validate and hypothesized research model. The data analysis was performed through structural equation modeling (SEM) by using the software package SPSS version 16 together with STATA. The study reveals that the adoption and using E-learning platform mainly depends on the behavioral intention and attitude towards using the platform. Perceived usefulness and job relevance are the most strongest and important predictors of behavioral intention and attitude towards using E-learning platform in academic purposes.

Utilizing the Push-Pull-Mooring-Habit framework to explore users’ intention to switch from offline to online real-person English learning platform

2019 ◽  
Vol 29 (1) ◽  
pp. 167-193 ◽  
Author(s):  
Yu-Hsin Chen ◽  
Ching-Jui Keng
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Service Providers ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
English Learning ◽  
Content Type ◽  
Learning Platform ◽  
Perceived Price ◽  
Real Person

Purpose The purpose of this paper is to develop an extended Push-Pull-Mooring-Habit (PPMH) framework in order to better understand users’ intention of switching from offline to an online real-person English learning platform service. Design/methodology/approach Based on 301 valid responses collected from an online survey questionnaire, structural equation modeling was employed to examine the research model. Findings The causal model was validated using SmartPLS 3.0, and all study hypotheses were supported. The results show that push effects (learning convenience, service quality and perceived price), pull effects (e-learning motivation, perceived usefulness), mooring effects (learning engagement, switching cost and social presences) and habit effects (relationship inertia) all significantly influence users’ switching intentions from offline to an online real-person English learning platform. Practical implications The findings should help online English learning service providers and marketers to understand the intention of offline English learning users to switch to an online real-person English learning platform, and develop related theories, services and regulations. Originality/value The present study extends the prior research of an online real-person English learning platform by providing PPMH as the general framework and demonstrating its efficacy in explaining user switching intentions.

scholarly journals THE INFLUENCE OF E-LEARNING CHARACTERISTICS AND BASIC ICT COMPETENCIES TO ACTUAL USAGE OF E-LEARNING: A PATH DIAGRAM MODEL

2015 ◽  
Vol 11 (2) ◽  
pp. 59
Author(s):  
I Made Suarta ◽  
I Ketut Suwintana
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Actual Usage ◽  
E Learning ◽  
Ict Competencies

In this paper, the Technology Acceptance Model (TAM) is extent with two external stimulus namely e-learning characteristics and basic ICT (Information and Communication Technology) competencies. The purpose of this study are (1) finding relationship between e-learning characteristics and lecturers’ basic ICT competencies with the perceived ease of use and perceived usefulness of e-learning; and (2) determining the effect of e-learning characteristics and lecturer basic ICT competencies to the actual usage of e-learning. Research subjects are Bali State Polytechnic lecturers who have attended the elearning training. In this study, to collect the data sample, a non-random sampling technique is adopted. The data is collected by self-administered questionnaires and is analyzed using structural equation modeling. Basic ICT competencies of the Bali State Polytechnic lecturers are good, but the level of actual usage of e-learning is very low. Basic ICT competence shows no significant effect on the perceived ease of use and perceived usefulness of e-learning. The actual usage of e-learning also has low implications. E-learning characteristics show a significant effect on perceived ease of use and perceived usefulness of e-learning, which implies the change attitude and behavior in the use of elearning. Characteristics of e-learning become a determinant factor in the adoption and use of elearning. The findings will help lecturer a better understanding to the mechanism of e-learning adoption. The study recommends for polytechnic institutions to make a systematic effort to provide lecturers with training on how to use e-learning system effectively. A further research to identify other factors that may influence lecturers' attitudes toward the adoption of e-learning system is demanded following this research.

scholarly journals Investigasi Faktor Yang Mempengaruhi Behavioral Intention Pada Pengguna Grab Bike

2019 ◽  
Vol 3 (2) ◽  
pp. 94
Author(s):  
Sulaiman Sulaiman ◽  
Zainal Abidin ◽  
Suharno Suharno
Keyword(s):  
Structural Equation Modeling ◽  
Behavioral Intention ◽  
Perceived Risk ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Software Analysis

Tujuan penelitian ini mengetahui pengaruh behavioral intention (BI) terhadap transportasi online grab bike dengan menggunakan variabel trust, perceived ease of use (PEOU), perceived risk (PR) dan perceived usefulness (PU). Sebanyak 161 orang menjadi responden dalam penelitian ini dengan cara mengisi kuesioner. Data yang diperoleh kemudian dianalisis menggunakan alat analisis Structural Equation Modeling (SEM) dengan menggunakan software analysis of moment structure (AMOS). Setelah dilakukan penelitian diperoleh hasil bahwa PR berpengaruh signifikan terhadap trust, PEOU  berpengaruh signifikan terhadap trust, PU berpengaruh signifikan terhadap trust. Begitu pula pengaruh PR signifikan terhadap behavioral intention, PEOU, PU signifikan terhadap behavioral intention, serta trust signifikan terhadap behavioral intention.

Users’ response toward online doctor consultation platforms: SOR approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sandeep Goyal ◽  
Sumedha Chauhan ◽  
Parul Gupta
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Health Anxiety ◽  
Perceived Value ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Technology Usage ◽  
Content Type ◽  
Behavioral Attributes

PurposeThis study aims to investigate the external and internal stimuli, which affect the organismic experiences of the users and thereby influence their response in terms of behavioral intention toward the use of online doctor consultation platforms.Design/methodology/approachThe study operationalized the stimulus–organism–response framework for the research model and surveyed 357 users in India who had experienced online doctor consultation platforms. The analysis has been done using the structural equation modeling approach.FindingsThe authors’ main results indicate the following key points. One, perceived usefulness, social influence, health anxiety, offline consultation habit and perceived technology usage risk are significant predictors of perceived value. In contrast, perceived ubiquity is identified to be an insignificant predictor of perceived value. Second, social influence and perceived technology usage risk have significant influence on trust. However, perceived usefulness is not a significant predictor of trust.Research limitations/implicationsThis study contributes to the theory by integrating technology-oriented factors with behavioral attributes for determining the behavioral intention of users toward the online doctor consultation platforms.Practical implicationsThe managerial contributions of this study involve highlighting those technology-oriented and behavioral elements, which can be targeted to attract more users toward these platforms.Originality/valueThis is an original study that has looked beyond the role of technology-oriented factors in influencing the perceived value and trust elements while investigating the behavioral intention among the users toward the online doctor consultation platforms.

scholarly journals Factors affecting the acceptance of blended learning in medical education: application of UTAUT2 model

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Seyyed Mohsen Azizi ◽  
Nasrin Roozbahani ◽  
Alireza Khatony
Keyword(s):  
Medical Education ◽  
Blended Learning ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Validity And Reliability ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Behavioral Intention To Use

Abstract Background Blended learning is a new approach to improving the quality of medical education. Acceptance of blended learning plays an important role in its effective implementation. Therefore, the purpose of this study was to investigate and determine the factors that might affect students’ intention to use blended learning. Methods In this cross-sectional, correlational study, the sample consisted of 225 Iranian medical sciences students. The theoretical framework for designing the conceptual model was the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Venkatesh et al. (2012) proposed UTAUT2 as a framework to explain a person’s behavior while using technology. Data were analyzed using SPSS-18 and AMOS-23 software. Structural equation modeling technique was used to test the hypotheses. Results The validity and reliability of the model constructs were acceptable. Performance Expectance (PE), Effort Expectance (EE), Social Influence (SI), Facilitating Conditions (FC), Hedonic Motivation (HM), Price Value (PV) and Habit (HT) had a significant effect on the students’ behavioral intention to use blended learning. Additionally, behavioral intention to use blended learning had a significant effect on the students’ actual use of blended learning (β = 0.645, P ≤ 0.01). Conclusion The study revealed that the proposed framework based on the UTAUT2 had good potential to identify the factors influencing the students’ behavioral intention to use blended learning. Universities can use the results of this study to design and implement successful blended learning courses in medical education.

scholarly journals Determinants of e-learning acceptance amongst Iranian postgraduate students

2022 ◽  
Vol 6 (2) ◽  
pp. 181-191
Author(s):  
Fatima Baji ◽  
Fereydoun Azadeh ◽  
Zivar Sabaghinejad ◽  
Amir Zalpour
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Validity And Reliability ◽  
Postgraduate Students ◽  
E Learning ◽  
Self Reporting Questionnaire

E-learning can address some of the unmet needs of learners and educational communities; however, not all learners and educators accept e-learning as a delivery modality. This research endeavored to study the factors which affect e-learning acceptance among Iranian post-graduate students using the Davis Technology Acceptance Model (TAM) and to identify the changes which would facilitate their improved acceptance and subsequent wider use of e-learning. This descriptive-correlation study was conducted by surveying 320 Iranian postgraduate students using a self-reporting questionnaire. Structural equation modeling was used for data analysis through LISREL software. Results revealed sufficient validity and reliability of the TAM among Iranian postgraduate medical students. Perceived ease of use, perceived usefulness of e-learning, students’ attitudes toward e-learning, and the intention to use e-learning positively affected e-learning’s acceptance (p < 0.05) among Iranian postgraduate students. According to the results, attitudes toward e-learning have more predictive power than other TAM constructs. Therefore, emphasis on students’ favorable attitudes toward e-learning can be effective in accelerating its acceptance and will progress students’ learning outcomes.

scholarly journals Technology acceptance application model on internet banking service in BRI Bank Denpasar Indonesia

2019 ◽  
Vol 6 (4) ◽  
pp. 135-146
Author(s):  
Ari Melaning ◽  
I.G.A.K. Giantari
Keyword(s):  
Technology Acceptance ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Internet Banking ◽  
Sem Analysis ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
The Relationship

This study aims to explain the effect of perceived usefulness, and perceived ease of use, on attitude toward using, and behavioral intention of use at BRI banks Denpasar. The technique used to test the research hypothesis uses Structural Equation Modeling (SEM) analysis techniques using SMARTPLS assistance, using IBM SPSS Statistics 22. The population in this study were all BRI Bank customers in Denpasar who used Internet Banking, the number of samples in this study was 150 respondents, who were taken using Purposive Sampling techniques. The results showed that (1) the attitude toward using had a positive and significant effect on the behavioral intention of use (2) perceived ease of use had a positive and significant effect on attitude toward using (3) perceived usefulness had a positive and significant effect on the behavioral intention of use. (4) perceived ease of use has a positive and significant effect on the behavioral intention of use (5) perceived usefulness has a positive and significant effect on attitude toward using. (6) attitude toward using can mediate the relationship between perceived usefulness to the behavioral intention of use. (7) the attitude toward using can mediate the relationship between perceived ease of use on the behavioral intention of use.

scholarly journals ANALISIS PENERIMAAN E-LEARNING MENGGUNAKAN TECHNOLOGY ACCEPTANCE MODEL (TAM) (STUDI KASUS: UNIVERSITAS ATMA JAYA YOGYAKARTA)

2017 ◽  
Vol 1 (2) ◽  
pp. 87-98 ◽  
Author(s):  
Flourensia Sapty Rahayu ◽  
Djoko Budiyanto ◽  
David Palyama
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Actual Usage ◽  
E Learning ◽  
Acceptance Model

Dalam implementasi sebuah sistem informasi di suatu institusi, perlu dipertimbangkan  bagaimana penerimaan pengguna terhadap sistem informasi tersebut. Penerapan sistem informasi dapat dikatakan gagal jika pengguna ternyata tidak dapat menerima atau tidak mau menggunakan sistem informasi tersebut. Sebagai sebuah institusi pendidikan, Universitas Atma Jaya Yogyakarta (UAJY) juga mengimplementasikan sistem e-learning untuk mendukung proses belajar mengajar. Pengguna wajib dari e-learning ini adalah dosen dan mahasiwa. Sejak diterapkan belum pernah diadakan evaluasi mengenai penerimaan pengguna terhdap sistem e-learning ini. Penelitian ini dilakukan untuk melakukan pengujian terhadap penerimaan pengguna (mahasiswa) terhadap e-learning dengan menggunakan Technology Acceptance Model (TAM). Pengujian dilakukan dengan mengukur pengaruh antar variabel dalam model TAM yang meliputi variabel Perceived Ease of Use, Perceived Usefulness, Attitude Toward Using, Behavioral Intention dan Actual Usage. Metode pengujian statistik yang dilakukan yaitu uji statistik validitas, reliabilitas, normalitas, dan menguji pengaruh faktor menggunakan Structural Equation Model (SEM). Sumber data didapatkan dengan metode kuesioner yang dibagikan kepada responden mahasiswa UAJY dari seluruh fakultas. Dari enam hipotesis yang diajukan satu hipotesis dinyatakan tidak diterima, yaitu hipotesis yang menyatakan Perceived Usefulnes berpengaruh terhadap Behavioral Intention. Kelima hipotesis yang lain yaitu Perceived Ease of Use berpengaruh terhadap Perceived Usefulnes, Perceived Usefulnes berpengaruh terhadap Attitude Toward Using, Perceived Ease of Use berpengaruh terhadap Attitude Toward Using, Attitude Toward Using berpengaruh terhadap Behavioral Intention, Behavioral Intention berpengaruh terhadap Actual Usage dinyatakan dapat diterima.

How does task-technology fit influence cloud-based e-learning continuance and impact?

2019 ◽  
Vol 61 (4) ◽  
pp. 480-499 ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Structural Equation ◽  
Educational Institution ◽  
Perceived Usefulness ◽  
Learning System ◽  
Equation Modeling ◽  
Comprehensive University ◽  
Content Type ◽  
E Learning ◽  
Task Technology Fit ◽  
Perceived Impact

Purpose According to expectation–confirmation model (ECM) and task-technology fit (TTF) model, the purpose of this paper is to examine the role of TTF in students’ cloud-based e-learning continuance and evaluate whether TTF affects students’ perceived impact on learning of the cloud-based e-learning system within the educational institution. Design/methodology/approach Sample data for this study were collected from students enrolled in a comprehensive university in Taiwan. A total of 500 questionnaires were distributed in the campus, and 391 (78.2 percent) usable questionnaires were analyzed using structural equation modeling in this study. Findings This study’s results verified that both task characteristics and technology characteristics affected students’ perceived TTF, which significantly contributed to their perceived usefulness, confirmation and satisfaction with the cloud-based e-learning system, and these in turn directly or indirectly led to their continuance intention of the system and perceived impact on learning; essentially, the results strongly supported the research model integrating ECM and TTF model via positioning key constructs as the drivers with all hypothesized links being significant. Originality/value This study contributes to an understanding of the TTF in explaining students’ cloud-based e-learning continuance that is difficult to explain with only their utilitarian perception of the cloud-based e-learning system, and further places considerably more emphasis upon students’ perceived impact on learning greatly driven by their TTF in the system. Thus, this study’s empirical evidence on incorporating ECM and TTF model can shed light on the outcome for cloud-based e-learning continuance and enhance better understanding of a richer post-adoption model.

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