scholarly journals Assessing the Impact of Organizational Support and Prior Project Training: A Structural Equation Modeling Approach

2017 ◽  
Vol 12 (3) ◽  
pp. 204
Author(s):  
Iman M. Adeinat ◽  
Fatheia H. Abdulfattah
Keyword(s):  
Higher Education ◽  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Organizational Support ◽  
Structural Equation ◽  
Faculty Members ◽  
Equation Modeling ◽  
Two Factors ◽  
Acceptance Model ◽  
The Impact

The eLearning industry has grown rapidly in recent years, and as a result in the context of higher education there is significant interest in implementing and managing eLearning through Learning Management Systems (LMS). This study uses the Technology Acceptance Model (TAM) to test faculty members’ acceptance of a new LMS using structural equation modeling (SEM). In addition, the study extends the model by incorporating two external factors: training programs on the new LMS conducted prior to implementation and organizational support for the new LMS. Each of these two factors is generally believed to have a significant impact on the acceptance of a new LMS on the part of faculty members. The results of this study validate the use of TAM in the context of higher education. Further, our findings affirm the importance of providing training in regard to the LMS before implementation and likewise the importance of providing organizational support.

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

Testing the effects of job satisfaction on organizational commitment

2019 ◽  
Vol 39 (4) ◽  
pp. 525-542
Author(s):  
Barooj Bashir ◽  
Abdul Gani
Keyword(s):  
Higher Education ◽  
Job Satisfaction ◽  
Organizational Commitment ◽  
Organizational Support ◽  
Structural Equation ◽  
Equation Modeling ◽  
Percentage Increase ◽  
Content Type ◽  
University Teachers ◽  
The Impact

Purpose As universities are human capital intensive organizations, practices followed by a university for enhancing the satisfaction of its teachers can be of great help in attracting, retaining and managing highly qualified and competent teachers. The purpose of this paper is to empirically examine the impact of job satisfaction (JS) on organizational commitment (OC) of university teachers in India. Design/methodology/approach A total of 396 academicians are surveyed to assess the subjects’ responses to JS and commitment questionnaire. Structural equation modeling (SEM) was used in the process of statistical analysis. Findings The results confirmed a significant impact of JS on OC of university teachers in India. With 1 percent increase in estimates of pay and job security (PJS), organizational support (OS) and job challenge (JC), there would be 21, 36 and 49 percentage increase, respectively, in OC of university teachers. Of all the factors of JS, JC is the most significant contributing factor, followed by OC and PJS that help in motivating and retaining the teachers in higher education institutions in India. Research limitations/implications The sample of the study has been chosen from the higher education sector in Northern India, and so it still needs to be explored whether the findings of this study can be replicated in different geographical areas and organizational settings for further verification and generalization. Practical implications Encouraging greater satisfaction among the faculty members may positively influence work-related behaviors, especially commitment among the teachers. The paper may benefit the decision makers in universities to follow the proactive practices to improve the satisfaction and commitment of teachers as educational performance is of priority on the national agenda. Originality/value The study provides useful insights about a JS-OC relationship model and informs the stakeholders on how to create an enabling environment at the policy and practice level that would help in attracting and retaining teachers in universities in India. It contributes to enriching the JS and OC literature in a sector and a country poorly addressed so far in research.

scholarly journals The perceived time value importance for enrolment in online masters courses: an extension of the Technology Acceptance Model

2020 ◽  
pp. 475-494
Author(s):  
Mohammad Reza Mazandarani ◽  
Marcelo Royo-Vela
Keyword(s):  
Higher Education ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Ease Of Use ◽  
Higher Education System ◽  
Time Value ◽  
Perceived Utility ◽  
Acceptance Model ◽  
The Impact

Purpose. The main objective of this research is to obtain a better understanding of the impact of perceived time value on the intention of pursuing an online Master’s degree for its applicants. For this reason, perceived time value is added to the Technology Acceptance Model. Design/methodology/approach. Data are collected from a purposive sample of 147 individuals, who were interested to continue their higher education. Both, online and personal surveys are used to collect data. Achieved data are analysed by structural equation modelling. Findings. The results show that the perceived time value is significantly related to the ease of use and perceived utility, which in turn, show a significant effect on the attitude towards enrolment. Also the attitude towards enrolment is positively and significantly related to the Behavioural Intention towards studying an online Master (BIS). On the other hand, the perceived utility does not show a significant relationship with BIS. Research limitations/implications. This paper only examines the perceived time value before attending an online Masters. This perception may change after starting such courses. Additionally, there might be more factors influencing their intention toward a particular higher education system that is not mentioned in this article. Practical implications. This research can help the designers of these courses to understand the perception of the value of the time of the applicants before starting an online Master and thus, help them to plan their future marketing strategies more successfully. Originality/value. This article demonstrates the effect of the motivating factors of the applicants for enrolment in an online Master by analyzing the importance of managing and saving time, resulting in more free time.

Extending the Technology Acceptance Model to Investigate the Utilization of ERP Systems

2010 ◽  
Vol 6 (4) ◽  
pp. 38-54 ◽  
Author(s):  
Samar Mouakket
Keyword(s):  
Technology Acceptance ◽  
United Arab Emirates ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Systems Design ◽  
Equation Modeling ◽  
Research Model ◽  
Erp Systems ◽  
Acceptance Model ◽  
The Impact

The implementation of Enterprise Recourse Planning (ERP) systems has grown rapidly, but limited research has been conducted to investigate the utilization of ERP systems. By extending the Technology Acceptance Model, this paper provides a research model for examining the impact of computer self-efficacy and ERP systems design features on the utilization of ERP systems. To test the proposed research model, data are collected through a questionnaire survey distributed among employees in different organizations that have implemented an ERP system in the United Arab Emirates. Structural equation modeling techniques are used in this study to verify the causal relationships between the variables. The results strongly support the extended TAM in understanding employees’ utilization of ERP systems. The implications of this study and further research opportunities are also discussed.

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.

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).

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.

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