scholarly journals Models of information systems habit: An exploratory meta-analysis

2022 ◽  
Vol 62 ◽  
pp. 102436
Author(s):  
Anand Jeyaraj
2019 ◽  
Vol 43 (3) ◽  
pp. 185-194 ◽  
Author(s):  
Apostolos Ziakopoulos ◽  
Athanasios Theofilatos ◽  
Eleonora Papadimitriou ◽  
George Yannis

2021 ◽  
Vol 17 (1) ◽  
pp. 125-143
Author(s):  
Wen-Lung Shiau ◽  
Puxi Shi ◽  
Ye Yuan

The current research on the information systems (IS) shows that emotion and cognition can affect behavior, but their interaction with each other is not clear. This paper attempts to clarify the interaction between emotion and cognition and explain their antecedents and consequences. This research includes a meta-analysis composed of 33 papers related to emotion and cognition in high-quality IS journals. Results reveal cognition affects emotion when emotion can be changed or manipulated by an external stimulus, and emotion can be attributed to a combination of multiple cognitive appraisals. By contrast, emotion affects cognition when it involves the use of information technology and focuses on intuitive interface design features and stable personality traits. The authors contribute to the literature with a more comprehensive summary of antecedents and consequences of emotion and cognition and provide practical implications for enterprises to understand consumer behavior from the perspective of the interaction between emotion and cognition.


Author(s):  
Prashant Palvia ◽  
Mohammad Daneshvar Kakhki ◽  
Torupallab Ghoshal ◽  
Vishal Uppala ◽  
Weian Wang

2017 ◽  
Vol 25 (1) ◽  
pp. 186-202 ◽  
Author(s):  
Peter Haried ◽  
Craig Claybaugh ◽  
Hua Dai

Given the importance of the health-care industry and the promise of health information systems, researchers are encouraged to build on the shoulders of giants as the saying goes. The health information systems field has a unique opportunity to learn from and extend the work that has already been done by the highly correlated information systems field. As a result, this research article presents a past, present and future meta-analysis of health information systems research in information systems journals over the 2000–2015 time period. Our analysis reviewed 126 articles on a variety of topics related to health information systems research published in the “Senior Scholars” list of the top eight ranked information systems academic journals. Across the selected information systems academic journals, our findings compare research methodologies applied, health information systems topic areas investigated and research trends. Interesting results emerge in the range and evolution of health information systems research and opportunities for health information systems researchers and practitioners to consider moving forward.


2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Hafize Er Turkuresin ◽  

The objective of this study was to determine the effect of Geographic Information Systems, one of the educational technologies, on the academic performance of students. In accordance with this purpose, to combine the results of independent experimental studies, the meta-analysis method was put into use. Within this context, as a result of the literature review, in the meta-analysis, 17 experimental studies conducted between the years 2007 and 2020 were included. The total sample size of the mentioned studies was 620 in the experimental group and 607 in the control group. Thalheimer and Cook's (2002) classification was used in calculating the effect size values in the study in which the random effects model was used. Publication bias in research; Funnel Plot was tested with Rosenthal Fail Safe N value, cut and fill method of Duval and Tweedie and Begg-Mazumdar statistics, and studies included in meta-analysis were found to be heterogeneous. The effect of moderator variables, which are thought to influence academic achievement, was examined. Q and p significance tests were used to calculate the effect of moderator variables. According to the results of the study, it has been determined that GIS has a very wide (+1,193) effect on academic achievement. Positive average effect size indicates a change in favour of the experimental group. It was concluded that among the moderator variables, the study type, class level and sample size did not create a significant change in the effect size, and the year variable created a significant difference in the effect size.


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