scholarly journals Analisis Manfaat Penerapan Sistem Informasi Ujian Online: Studi Kasus SMK Pasim Plus

2017 ◽  
Vol 2 (1) ◽  
pp. 47
Author(s):  
Erick Andika ◽  
Djajasukma Djajasukma ◽  
Herry Heryanto
Keyword(s):  
User Satisfaction ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Unified Theory ◽  
Goodness Of Fit Test ◽  
Is Success ◽  
Success Model ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions

Evaluasi dilakukan untuk mengukur proses pembelajaran yang telah dilaksanakan. Pelaksanaan ujian, pemeriksaan hasil ujian, serta pengumuman nilai ujian pada SMK Pasim Plus telah menggunakan sistem informasi ujian online. Penelitian dilakukan kepada 466 populasi siswa dengan pengambilan jumlah sampel berdasarkan rumus Slovin yaitu sebanyak 215 siswa. Model penelitian yang digunakan adalah D&M IS Success Model untuk mengukur kesuksesan sistem informasi, serta model UTAUT (Unified Theory of Acceptance and Use of Technology) untuk mengukur niat dan penggunaan sistem informasi. Teknik pengumpulan data dilakukan menggunakan observasi dan kuesioner tertutup menggunakan skala Likert dimana kuesioner tersebut telah diuji validitas dan realibilitas. Data diolah dengan teknik SEM (Structural Equation Modelling) menggunakan SPSS 22 dan AMOS 22. Variabel yang diolah dalam penelitian ini antara lain Performance Expectancy, Effort Expectancy, Sosial Influence, Facilitating Conditions, Behavioral Intention, User Satisfaction, dan Net Benefits. Pengujian dilakukan menggunakan teknik Kolmogrov-Smirnov Goodness of Fit Test, pengujian normalitas data, pengujian validasi konstruk, hingga pengujian keseluruhan model. Hasil penelitian yang diperoleh diuraikan dan dibahas pada makalah ini.Kata kunci: UTAUT, D&M, SEM, kesuksesan, penerimaan

scholarly journals Analisa Kesuksesan Sistem Informasi Akademik Menggunakan Model Terintegrasi

2017 ◽  
Vol 2 (2) ◽  
pp. 105
Author(s):  
Lani Nurlani ◽  
Budi Permana
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Equation Model ◽  
Unified Theory ◽  
Goodness Of Fit Test ◽  
Is Success ◽  
Is Success Model ◽  
Success Model ◽  
Human Organization

Evaluasi sistem informasi diperlukan untuk mengetahui kesuksesan sistem yang diterapkan, termasuk pada sistem informasi akademik di Universitas Muhammadiyah Sukabumi. Penelitian ini menggabungkan model penerimaan teknologi informasi dan model kesuksesan sistem informasi yaitu UTAUT (Unified Theory of Acceptance Technology), D&M IS Success Model, dan HOT-Fit (Human Organization and Technology Fit) untuk menganalisa kesuksesan sistem informasi. Penggabungan model dipilih untuk meneliti pengaruh konstruk ke niat keperilakuan (behavioral intention) dan menghubungkan penggunaan dengan dampaknya. Disamping itu, ditambahkan pula variabel moderator yaitu gender untuk mengetahui hubungan faktor individu (human context) dengan niat keperilakuan. Model persamaan yang digunakan dalam penelitian ini adalah Structural Equation Model (SEM) menggunakan SPSS AMOS v.22. Variabel yang digunakan dalam model terintegrasi ini antara lain faktor manusia, faktor teknologi, faktor organisasi, niat keperilakuan, kepuasan pengguna, dan manfaat-manfaat bersih. Pengujian yang dilakukan meliputi pengujian reliabilitas, CFA, teknik Kolmogrov-Smirnov Goodness of Fit Test, hingga pengujian keseluruhan model.Kata kunci: UTAUT, D&M IS Success Model, HOT-Fit, SEM

Modeling the Factors that Influence Ghanaian Entrepreneurs to Adopt e-Commerce

2021 ◽  
Vol 18 (06) ◽  
Author(s):  
Frederick Pobee
Keyword(s):  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Unified Theory ◽  
Cross Sectional ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions

This study investigated the factors that influence Ghanaian entrepreneurs to adopt e-commerce. Cross-sectional data was gathered from 520 entrepreneurs in the most populous and industrious regions in Ghana. The unified theory of acceptance and use of technology (UTAUT) was employed to effectively understand the unexplored phenomenon of e-commerce adoption among Ghanaian entrepreneurs. Partial Least Square-Structural Equation Modeling (PLS-SEM) was used to test the hypothesized relationships. The findings indicate that performance expectancy, effort expectancy, and social influence (SI) positively and significantly influenced the behavioral intention (BI) to adopt e-commerce. Facilitating conditions (FC) and BI had a significant positive relationship with the adoption of e-commerce.

scholarly journals Toward an Understanding of University Students’ Continued Intention to Use MOOCs: When UTAUT Model Meets TTF Model

SAGE Open ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 215824402094185
Author(s):  
Liyong Wan ◽  
Shoumei Xie ◽  
Ai Shu
Keyword(s):  
University Students ◽  
User Satisfaction ◽  
Structural Equation ◽  
Equation Modeling ◽  
Utaut Model ◽  
Mediating Role ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions

This study tries to propose a unified model integrating the unified theory of acceptance and use of technology (UTAUT) model, task–technology fit (TTF) model, and user satisfaction to investigate the determinants that affect university students’ continued intention of using massive open online courses (MOOCs). Based on the data of a survey on 464 respondents, structural equation modeling is adopted to assess the model. The results reveal that performance expectancy, effort expectancy, social influence, and user satisfaction are the crucial predictors of university students’ continued intention. TTF has an indirect influence on continued intention through user satisfaction. Performance expectancy is affected both by effort expectancy and TTF. Facilitating conditions do not directly influence continued intention; however, they present indirect influences in that they play a mediating role for user satisfaction. The findings help researchers and practitioners to attain a better understanding of university students’ continued usage intention of MOOCs. The implications and limitations of this study are also described.

scholarly journals EVALUASI ADOPSI TEKNOLOGI MENGGUNAKAN UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY MODEL

2021 ◽  
Vol 7 (2) ◽  
pp. 123-140
Author(s):  
Nurul Hidayati ◽  
Eko Ruddy Cahyadi
Keyword(s):  
Data Analysis ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Unified Theory ◽  
Purposive Sampling ◽  
Utaut Model ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Use Behavior

ABSTRAKPenelitian dengan pendekatan model Unified Theory of Acceptance and Use of Technology (UTAUT) model dilakukan untuk mengkaji adopsi teknologi dan perilaku penggunaan aplikasi IPB Mobile khususnya IPB Mobile for Students. Sampel penelitian dipilih menggunakan metode purposive sampling, yaitu sebanyak 400 mahasiswa program sarjana. Data penelitian berupa data primer yang dikumpulkan melalui penyebaran kuisioner. Analisis data dilakukan dengan structural equation modelling partial least square (SEM-PLS). Hasil analisis data menunjukkan bahwa persepsi responden pada indikator-indikator model UTAUT menunjukkan penilaian yang sudah baik. Effort expectancy berpengaruh positif terhadap variabel behavioral intention. Variabel use behavior mahasiswa dipengaruhi secara langsung oleh facilitating conditions dan behavioral intention. Implikasi manajerial dari hasil penelitian ini hendaknya dapat dijadikan salah satu dasar untuk perbaikan aplikasi IPB Mobile for Student sehingga dapat meningkatkan pelayanan bagi mahasiswa, baik akademik maupun nonakademik, antara lain penyediaan fasilitas wifi yang memadai di berbagai area yang sering digunakan untuk kegiatan belajar mengajar mahasiswa guna meningkatkan akses terhadap aplikasi dan perbaikan fitur-fitur yang sudah ada sehingga ramah digunakan oleh mahasiswa. ABSTRACTResearch with the Unified Theory of Acceptance and Use of Technology (UTAUT) model approach was conducted to examine technology adoption and behavior in using IPB Mobile applications, especially IPB Mobile for Students. The research sample was selected using a purposive sampling method, as many as 400 undergraduate students. Research data in the form of primary data collected through the distribution of questionnaires. Data analysis was carried out using structural equation modeling partial least squares (SEM-PLS). The results of data analysis show that respondents' perceptions of the indicators of the UTAUT model show a good assessment. Effort expectancy has a positive effect on behavioral intention variables. The variable use behavior of students is directly influenced by facilitating conditions and behavioral intention. The managerial implications of the results of this study should be used as a basis for improving the IPB Mobile for Student application so that it can improve services for students, both academic and non-academic, including the provision of adequate wifi facilities in various areas that are often used for student teaching and learning activities. in order to increase access to applications and improve existing features so that they are friendly to use by students.

scholarly journals ANALISIS MINAT DAN PERILAKU PENGGUNAAN APLIKASI SHAREIT DENGAN PENDEKATAN UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY

2021 ◽  
Vol 4 (2) ◽  
pp. 170-184
Author(s):  
Qona'ah El Hasan ◽  
Budi Permana
Keyword(s):  
Technology Acceptance ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Positive Influence ◽  
Unified Theory ◽  
Personal Innovativeness ◽  
Use Of Technology ◽  
User Communities ◽  
Effort Expectancy ◽  
Facilitating Conditions

Technology acceptance is important for identifying elements that influence the user, so it is easy to use apps. The evaluation of technology reception will help to improve the system better in the future and indicate whether the system succeeded or not, so the users will keep using the apps. SHAREit is a program that can be downloaded on the Android Smartphone platform and on personal computers. It is able to transfer documents, pictures, music, and videos rapidly. Even so, the applications are faster than Bluetooth and Wifi. Then, Indonesia is the biggest second market for SHAREit in the world. The research is proposed to detect how the user accepts SHAREit in Kuningan Regency by using the Unified Theory of Acceptance and Use of Technology Method. It has been modified. The instrument of research is a questionnaire then distributed to user communities of SHAREit in Kuningan Regency by using Incidental Sampling, instrument testing and data processing Structural Equation Modelling by AMOS apps. Furthermore, the hypothesis is arranged through moderator variables; age, gender, and experience. The result of research indicates that there are three factors possessing positive influence on Behavioral Intention of usage SHAREit, such as Performance Expectancy, Social Influence, and Facilitating Conditions. A factor influencing use of behavioral is behavioral intention. Whereas, Personal Innovativeness in the Domain of Information Technology and Effort Expectancy do not influence the Behavioral Intention of SHAREit Apps in Kuningan Regency.

scholarly journals Understanding the Determinants of Wearable Fitness Technology Adoption and Use in a Developing Country: An Empirical Study

2021 ◽  
Vol 2 (1) ◽  
pp. 78-87
Author(s):  
Sajib Barua ◽  
Adita Barua
Keyword(s):  
Developing Countries ◽  
Developing Country ◽  
Structural Equation ◽  
Equation Modeling ◽  
Unified Theory ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Actual Use ◽  
Facilitating Conditions ◽  
Self Administered Questionnaire

On account of slow adoption rate of Wearable Fitness Technology (WFT), the device designers need to comprehend the determinants behind the adoption and use of WFT. Which antecedents affect the intention of WFT wearers remains unclear and a brainteaser for designers, especially in developing countries. This study, therefore, examined the factors liable to influence the WFT users in a developing country using the extended ‘Unified Theory of Acceptance and Use of Technology’ (UTAUT2) model and ‘Perceived Reliability’. The desired data for assessment the model was assembled from 260 Bangladeshi respondents using a self-administered questionnaire through online platforms. The Partial-Least-Squares-Structural-Equation-Modeling (PLS-SEM) technique was followed by operationalizing SmartPLS 3.3.3 software to test the proposed hypotheses mentioned in the model. The outcomes of the test confirmed that the facilitating conditions and habit are the most influential determinants for intention-to-use and actual use of WFT followed by performance expectancy and facilitating conditions respectively. Contrariwise, effort expectancy was unearthed to have no notable impact on behavioral intention whereas price value showed negative association with intention. The documentation of the findings could benefit WFT vendors and those policymakers who have strong desire to enter in developing countries’ market.

Adoption of fitness wearables

2018 ◽  
Vol 20 (1) ◽  
pp. 103-127 ◽  
Author(s):  
Pável Reyes-Mercado
Keyword(s):  
Structural Equation ◽  
Qualitative Comparative Analysis ◽  
Equation Model ◽  
Intention To Use ◽  
Unified Theory ◽  
Content Type ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions

Purpose This paper aims to analyse the adoption of fitness wearables by using the unified theory of acceptance and use of technology (UTAUT). The study analyses the relative weights and causal combinations of antecedent variables on use and intention to use fitness wearables. Design/methodology/approach The study design involves two stages: first, from the perspective of variable-oriented analysis, a structural equation model is tested using partial least squares (PLS) technique on a sample of 176 adopters and a second sample of 187 non-adopters. Second, from the perspective of case-oriented analysis, a fuzzy set qualitative comparative analysis (fsQCA) identifies causal combinations of variables that lead to use of wearables by adopters and intention to use by non-adopters. Findings PLS results show that performance expectancy and effort expectancy have high net effects on use and intention to use for adopters. FsQCA analysis shows that current users follow a streamlined path to adoption. High beliefs on performance expectancy and effort expectancy are the main influences of intention to use a fitness wearable for non-adopters. In contrast to adopters, non-adopters may follow a number of paths to intention to use through performance expectancy, effort expectancy or facilitating conditions. This insight was apparent only after analysing the data sets by using fsQCA. Research limitations/implications For sake of parsimony, this paper tested UTAUT model instead of the more complex unified theory of acceptance and use of technology 2. Practical implications Marketers in the fitness category can enhance use and intention to use by utilising not one but a combination of causal factors such as performance expectancy, effort expectancy and facilitating conditions. Wide societal deployment of wearables depends on performance and expectations. Social implications The widespread use of mobile devices depends on performance expectancy and effort expectancy. To transit to a real knowledge economy, co-creation should occur at early stages of product development so that these expectations are shared and better products be developed. Originality/value This paper offers a nuanced understanding of fitness wearable adoption by analysing adopters and non-adopters through variable- and case-oriented techniques. It complements the one-linear-path perspective with a number of alternative causal combinations of variables that lead to use and intention to use fitness wearables. While the causal path for adopters is unique, there are a number of causal combinations of antecedents that lead to high intention to use in potential adopters.

scholarly journals Factors Affecting Users’ Acceptance of E-Billing System in Surakarta Tax Office

2018 ◽  
Vol 9 (1) ◽  
pp. 37
Author(s):  
Rino Ardhian Nugroho ◽  
Arlyn Dewi Susilowati ◽  
Okki Chandra Ambarwati ◽  
Arum Pratiwi
Keyword(s):  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Unified Theory ◽  
Factors Affecting ◽  
Utaut Model ◽  
Billing System ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions

This research aimed to analyze factors that affected the acceptance of e-billing system of Surakarta tax office with Unified Theory of Acceptance and Use of Technology (UTAUT) model. The survey was done on electronic billing (e-billing) system users in Surakarta. Partial Least Square-Structural Equation Modelling (PLSSEM) was used to analyze the users’ intention in adopting e-billing system. The result indicates that two UTAUT variables (performance expectancy and social influence) affect the system usage significantly. Meanwhile, the other variables like effort expectancy and facilitating conditions do not affect e-billing system adoption in Indonesia.

Investigating the influence of transparency on the adoption of e-Government in Indonesia

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alvedi Sabani
Keyword(s):  
Structural Equation ◽  
Theoretical Perspective ◽  
Policy Implications ◽  
Unified Theory ◽  
Content Type ◽  
Utaut Model ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Practical Implications

Purpose The purpose of this paper is to extend and validate the unified theory of acceptance and use of technology (UTAUT) for investigating the effect of transparency on the adoption of e-Government in Indonesia from the perspective of citizens. Design/methodology/approach A comprehensive review of the related literature leads to the development of a transparency-focused conceptual model to better understanding the adoption of e-Government. Structural equation modelling is used for analysing the data collected from the citizens in Indonesia. Findings This study confirms that performance expectancy, effort expectancy, social influence, facilitating conditions and transparency are the critical factors for evaluating the citizen adoption of e-Government in Indonesia. In addition, transparency is found to be the strongest factor that influences the decision of Indonesian citizens to adopt e-Government. Research limitations/implications From the theoretical perspective, the use of the UTAUT model is extended by incorporating the transparency factor that is vital to the adoption of e-Government in developing countries such as Indonesia. Practical implications In terms of managerial and policy implications, this research offers the Indonesian Government suggestions on how the adoption of e-Government can be improved. Originality/value This is the first study that extends and empirically validates the UTAUT model with transparency for evaluating the adoption of e-Government from the perspective of citizens in Indonesia. It demonstrates how the transparency factor can be incorporated to better understand the adoption of e-Government in such a context.

scholarly journals Customer acceptance of mobile marketing in Jordan: An extended UTAUT2 model with trust and risk factors

2019 ◽  
Vol 11 ◽  
pp. 184797901988948 ◽  
Author(s):  
Bilal Eneizan ◽  
Ali Ghabash Mohammed ◽  
Alhamzah Alnoor ◽  
Anas Salman Alabboodi ◽  
Odai Enaizan
Keyword(s):  
Structural Equation ◽  
Quantitative Research ◽  
Developed Countries ◽  
Mobile Marketing ◽  
Unified Theory ◽  
Performance Expectancy ◽  
Customer Acceptance ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions

While mobile marketing is widely practised in developed countries, this is not always the case for developing countries, such as Jordan, where the acceptance level for mobile marketing remains low. This study aims to uncover the predictors for the behaviour of Jordanian customers with regard to the acceptance of mobile marketing. For this purpose, a questionnaire based on quantitative research was conceived. This investigation involved the unified theory of acceptance and use of technology (UTAUT2), which was extended to include two additional variables: ‘trust’ and ‘risk’. For the empirical testing of the model, data was collected from 321 respondents, and the hypotheses were tested through variance-based structural equation modelling. SmartPLS 3.0 was used to analyse the data. The findings from this study suggest that performance expectancy, effort expectancy, hedonic motivation, social influence, price value, facilitating conditions, habit and risk significantly influence the behavioural intention of customers regarding the adoption of mobile marketing. On the other hand, the trust factor was found to be an insignificant predictor in this area.

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