Study of Intentions to Use Cloud CRM Within Saudi SMEs

2019 ◽  
pp. 33-50
Author(s):  
Karim Mezghani ◽  
Mohammed AbdulAziz Almansour
Keyword(s):  
Factor Analysis ◽  
Saudi Arabia ◽  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Structural Equation ◽  
New Technology ◽  
Equation Modeling ◽  
Acceptance Model ◽  
Managerial Perspective

This chapter attempts to study the intentions to use cloud-based CRM applications through a combination between a Technology Acceptance Model (TAM) and a Theory of Planned Behavior (TPB). To test the different links identified in the research model, a research questionnaire was prepared and sent to marketing managers within Saudi SMEs in Saudi Arabia. A total of 41 useful questionnaires were collected. The authors opted to the structural equation modeling (SEM) using the Partial Least Squares (PLS) to analyze data. The tests are prepared with XLstat software since it integrates both factor analysis and PLS modules. Among the main statistical analyses, the authors conclude that the TPB-TAM is suitable to study cloud CRM. From a managerial perspective, the authors expect that cloud CRM is perceived with good impression and that this new technology should be implemented strongly and gradually in SMEs to improve the quality of services provided to customers and organizations.

Analyzing Factors Influencing Behavior Intention to Use Snapchat and Instagram Stories

2017 ◽  
Vol 4 (2) ◽  
pp. 75-81 ◽  
Author(s):  
Vincent Valiant Coa ◽  
Johan Setiawan
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Social Presence ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Generation Z ◽  
Acceptance Model ◽  
Behavioral Intention To Use

Snapchat, and Instagram are two social networks which recently gain their users after adopting such a feature called "Story" which allows a certain post to be disappeared after a certain time. This research takes up this technology trends analyzing the factors that probably affect the behavioral intention to use Snapchat and Instagram stories among generation Z. Factors are analyzed using Structural Equation Modeling, with basis model and variables from Technology Acceptance Model. Data collection was targeted to finished within 1 week using online questionnaire with respondent from Jakarta and Tangerang for 100 respondent that are using both Snapchat stories and Instagram Stories. There are two tools researcher usually use to analyze Structural Equation Modeling: SPSS AMOS and LISREL. In this research, researchers choose AMOS. From six hypothesis proposed for Snapchat analysis, four hypothesis is accepted, while the other two are rejected. Meanwhile, on Instagram Stories analysis, five hypothesis is accepted and one hypothesis is rejected. This study finds out the Social Presence is an exogenous variable which has a major role in affecting other variables. While Perceived Enjoyment influenced the behavioral intention to use Snapchat and Instagram Stories the most. Index Terms—Structural Equation Modeling, Technology Acceptance Model, influence, generation Z, Snapchat, Instagram REFERENCES [1] L. Chin and Z. Ahmad, "Perceived Enjoyment and Malaysian Consumers’ Intention to Use a Single Platform EPayment", SHS Web of Conferences, vol. 18, 2015. [2] M. Ariff, T. Shan, N. Zakuan, N. Ishak and M. Wahi, "Examining Users' E-Satisfaction in the Usage of Social Networking Sites; Contribution from Utilitarian and Hedonic Information Systems", IOP Conference Series: Materials Science and Engineering, vol. 58, 2014. [3] K. Hassanein and M. Head, "Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping", International Journal of HumanComputer Studies, vol. 65, no. 8, pp. 689-708, 2007. [4] P. Surendran, "Technology Acceptance Model: A Survey of Literature", 2012. [5] F. Davis, "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology", MIS Quarterly, vol. 13, no. 3, p. 319, 1989

scholarly journals An Empirical Study of Students’ Acceptance of Online Education during the COVID-19 Pandemic in Saudi Arabia

2021 ◽  
Vol 4 (3) ◽  
pp. p8
Author(s):  
Dalal Bamufleh ◽  
Lama Talat Alradady
Keyword(s):  
Saudi Arabia ◽  
Online Education ◽  
University Students ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Measurement Model ◽  
Equation Modeling ◽  
Use Of Technology ◽  
Acceptance Model ◽  
The University

This paper seeks to explore factors that determine the university student’s acceptance and adoption behavior towards online education platforms in Saudi Arabia (SA) during the COVID-19 pandemic. The research relied mainly on two theories: Unified Theory of Acceptance and Use of Technology (UTAUT), and the Technology Acceptance Model (TAM). Five different constructs were utilized from those theories to investigate the university student’s intention toward using online education platforms. The proposed model and its five hypotheses were tested by conducting a quantitative survey across social media to university students from different regions around SA. For the model validity, the measurement model was analyzed using a structural equation modeling technique applied using SmartPLS software. The survey sample consisted of 708 university students in different regions of SA. The analysis results show that Performance Expectancy (PE) and Facilitating Conditions (FC) affect students’ Attitude toward Using (ATU) and that ATU positively affects Behavioral Intention (BI). Nevertheless, Effort Expectancy (EE) is not significantly related to ATU. Thus, the level of difficulty in using the online education platform is not an effective determinant factor that would change the student’s attitude.

scholarly journals Path Analisis Technology Acceptance Model pada Penerapan Blended Learning

2020 ◽  
Vol 6 (2) ◽  
pp. 130-138
Author(s):  
Wawan Laksito Yuly Saptomo ◽  
Elistya Rimawati
Keyword(s):  
Structural Equation Modeling ◽  
Blended Learning ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
E Learning ◽  
Acceptance Model

Model pembelajaran Blended Learning  adalah sistem yang mengkolaborasikan pembelajaran tatap muka kelas dengan pembelajaran online memanfaatkan E-Learning. Penelitian ini bertujuan untuk mengukur tingkat penerimaan dan perilaku peserta didik terhadap teknologi  dari model pembelajaran Blended Learning. Variabel yang dikembangkan merujuk pada Technology Acceptance Model (TAM), yaitu  model penerimaan pengguna terhadap sistem informasi. Model TAM dikembangkan dari teori psikologis yang menjelaskan bahwa perilaku pengguna sistem berlandaskan pada kepercayaan, sikap, keinginan, dan hubungan perilaku pengguna. Data yang diperoleh dianalisis hubungan struktur variabel dengan Structural Equation Modeling (SEM) menggunakan metode Partial Least Square (PLS). Berdasarkan hasil Analisa PLS dan Boostraping diperoleh nilai Pengaruh Langsung, Pengaruh Tidak Langsung, dan Pengaruh tidak langsung sesuai jalur spesifikasi melalui variabel intervening (Spesific Indirect Efect).

scholarly journals Assessment the Quality of Services in Health Tourism using structural equation modeling (SEM) and confirmatory factor analysis (CFA): a case study in Mashhad, Iran

2020 ◽  
Author(s):  
Farhad Hemmati ◽  
Ghahraman Mahmoudi ◽  
Fatemeh Dabbaghi
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Equation Modeling ◽  
Quality Of Services ◽  
Health Tourism ◽  
Confirmatory Factor ◽  
Comprehensive Development

Abstract Background: It is essential to improve the quality of services to satisfy health tourists. Thus, the present study was conducted to determine the relationship between quality of health services and tourism in Mashhad.Methods: In this descriptive study, there were 120 subjects from the first population and 384 from the second. They completed a standard questionnaire with items related to demographic characteristics and tourism facilities in the five districts (north, south, east, west, and center) of Mashhad from 2017 to 2018. Data was analyzed using confirmatory factor analysis (CFA) and structural equation modeling (SEM). Spss21 and LISREL8.50 were used as the software. Results: t-test results showed that the factor loadings were more than 1.96, so there was a correlation between the quality of services provided and health tourism in Mashhad. Conclusion: According to the results, the importance of health tourism is so high that efforts for its development it in the region will lead to an all-comprehensive development. Hence, it is suggested that by strengthening the quality of services health tourism be improved in Mashhad.

Analisis Tingkat Penerimaan Mahasiswa Terhadap Cloud File Hosting Services dengan Metode Technology Acceptance Model

2016 ◽  
Vol 6 (2) ◽  
pp. 136-139
Author(s):  
Andrianus Bennyanto ◽  
Marcelli Indriana
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Equation Modeling ◽  
Equation Modelling ◽  
Modeling Software ◽  
Index Terms ◽  
Google Drive ◽  
Acceptance Model

There are many mobile and desktop apps available to use for free. Starting from games to productivity apps. One type of productivity apps is cloud file hosting services such as Dropbox and Google Drive. This study aims to determine how Dropbox and Google Drive are accepted to the users. Not just want to get the factors of acceptance, but to get the root of the acceptance. By using the methodology of technology acceptance model and relying on statistical calculations of structural equation modeling software LISREL, the level of acceptance of these two popular applications will be known. Index Terms - Cloud Fire Hosting Services, Level of Acceptance, Technology Acceptance Model, Structural Equation Modelling, LISREL.

PEMANFAATAN PENCARIAN LITERATUR KEDOKTERAN CLINICALKEY (STUDI KASUS: FAKULTAS KEDOKTERAN UNIVERSITAS KRISTEN DUTA WACANA YOGYAKARTA)

2017 ◽  
Vol 2 (2) ◽  
pp. 403
Author(s):  
Irestrina Elmiradewi ◽  
I Wayan Mustika ◽  
Dani Adhipta
Keyword(s):  
Structural Equation Modeling ◽  
Patient Education ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Equation Modeling ◽  
Acceptance Model

Pendahuluan: ClinicalKey merupakan salah satu mesin pencarian kesehatan yang banyak memberikan informasi kredibel mengenai e-journal, ebook, drug monographs, guidelines, patient education, multimedia, first consult, procedures consult dan lainnya. Saat ini, ClinicalKey merupakan mesin pencarian kesehatan yang dilanggan oleh Fakultas Kedokteran Universitas Kristen Duta Wacana (FK UKDW). Menurut laporan usage report tahun 2014-2015 tingkat penggunaannya sangat rendah jika dibandingan dengan Fakultas Kedokteran lain sehingga FK UKDW memutuskan untuk meningkatkan sosialisasinya. Pada penelitian ini dikaji tingkat kepuasan pengguna ClinicalKey di FK UKDW. Metode: Penelitian ini merupakan penelitian kuantitatif dengan pendekatan korelasi. Pengambilan sampel secara random dengan pengumpulan data menggunakan kuesioner, analisis data bersifat kuantitatif statistik dengan menguji hipotesis yang telah ditetapkan. Model pengukuran kepuasan pengguna menggunakan model Technology Acceptance Model (TAM) dengan teknik analisis data menggunakan Structural Equation Modeling (SEM). Hasil: Dari 200 responden mahasiswa dan dosen di FK UKDW, terdapat 56.6% pengguna merasakan kemudahan dalam menggunakan ClinicalKey, 62.5% pengguna mempercayai ClinicalKey dapat meningkatkan performa, 63.5% pengguna merasa ClinicalKey bagus, 56,5% pengguna ingin terus menggunakan ClinicalKey, 63.5% pengguna cukup sering menggunakan ClinicalKey. Pengujian hipotesis pertama PEU berpengaruh signifikan terhadap PU (β=0.785, p<0.05), hipotesis kedua PEU berpengaruh signifikan terhadap ATU (β=0.418, p<0.05), hipotesis ketiga PU berpengaruh signifikan terhadap ATU (β=0.327, p<0.05), hipotesis keempat PU berpengaruh signifikan terhadap BIU (β=0.445, p<0.05), hipotesis kelima ATU berpengaruh signifikan terhadap BIU (β=0.319, p<0.05) dan hipotesis keenam BIU berpengaruh signifikan terhadap ASU (β=0.908, p<0.05). Hasil tersebut mengungkapkan karakteristik tanggapan responden terhadap ClinicalKey adalah positif. Kesimpulan: Sosialisasi yang dilakukan oleh FK UKDW berhasil dilakukan, tampak dari tanggapan positif pengguna ClinicalKey di FK UKDW

scholarly journals How Citizens Accept E-Government Service: A Comparison of Four Theoretical Models

2007 ◽  
Vol 21 (2) ◽  
pp. 143-156
Author(s):  
J. Hun Park
Keyword(s):  
Service Quality ◽  
Technology Acceptance ◽  
Customer Service ◽  
Structural Equation ◽  
Process Model ◽  
New Technology ◽  
Theoretical Models ◽  
Ease Of Use ◽  
Equation Modeling ◽  
Acceptance Model

E-government offers unprecedented opportunities for innovating and transforming the way public service is delivered. To ensure successful e-government, it is necessary to understand how citizens accept new technology and receive services from e-government. In the context of e-government acceptance, this paper introduces and tests three well-known theoretical models-SERVQUAL, the American Customer Service Index, and the technology acceptance model-adapted from the service quality and technology acceptance literature. In addition, a new process model of e-government acceptance is synthesized and proposed. Using structural equation modeling methods, empirical fittests are carried out to evaluate the potential and explanation power of four theoretical e-government acceptance models. The results show that each model has a high potential for explaining e-government acceptance processes by citizen. Fitted theoretical models imply that the key ingrediencts for successful e-government are service quality, ease of use, and usefulness, which strongly suggests that for successful e-government, citizen focused e-government is crucial. E-government is a moving target, and the results hint at strategic directions for e-government development.

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