University students’ intention to use search engines for research purposes: A structural equation modeling approach

2019 ◽  
Vol 25 (4) ◽  
pp. 2463-2479 ◽  
Author(s):  
Konstantinos Lavidas ◽  
Anthi Achriani ◽  
Stavros Athanassopoulos ◽  
Ioannis Messinis ◽  
Sotiris Kotsiantis
2021 ◽  
Vol 4 (3) ◽  
pp. 629-643
Author(s):  
Rafaquat Ali ◽  
Furrukh Bashir ◽  
Hafeez Ur Rehman ◽  
Rashid Ahmad

Epistemological beliefs impact all aspects of students’ academic and learning behaviours. The different dimensions of epistemological beliefs comprise structure, source, certainty, ability to learns and speed to learn. The students’ naive and inadequate epistemological beliefs can have negative impacts on their regulation of learning, self-efficacy, interest in study, academic performance and persistence in studies. Likewise, the socioeconomic background can explain various differences in students’ beliefs. Epistemological beliefs have social and cultural underpinnings as well. For these reasons, the researchers examined the impact of university students’ socioeconomic classes on their epistemological beliefs. In survey research design, the data were collected from university students in an online survey. The structural equation modeling approach was chosen to detect significant regression paths in the model. The lower and upper lower socioeconomic classes were found to have significant impact on students’ epistemological beliefs. The variable gender did not appear to make significant contribution to students’ epistemological beliefs. The naive beliefs can severely impact university students’ academic behaviour, therefore epistemological beliefs of students from lower and upper lower socioeconomic backgrounds should be challenged and improved.


2021 ◽  
Author(s):  
Victor Bondzie‐Micah ◽  
Sun Qigui ◽  
Vincent Ekow Arkorful ◽  
Benjamin Kweku Lugu ◽  
Geoffrey Bentum‐Micah ◽  
...  

2018 ◽  
Vol 2 (suppl_1) ◽  
pp. 673-673
Author(s):  
A Petrovcic ◽  
J Berzelak ◽  
T Burnik ◽  
S Taipale ◽  
V Dolnicar

2017 ◽  
Vol 4 (2) ◽  
pp. 75-81 ◽  
Author(s):  
Vincent Valiant Coa ◽  
Johan Setiawan

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


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