Maryam Ghasemaghaei
McMaster University
61 Papers
72 Citations
Maryam Ghasemaghaei is an academic researcher from McMaster University. The author has contributed to research in topics: Computer science & Big data. The author has an hindex of 16, co-authored 50 publications.
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Papers
Social bundling: A novel method to enhance consumers’ intention to purchase online bundles
TL;DR: In this article, a theoretical model that explains the advantages and disadvantages of social bundling vis-a-vis traditional bundling in influencing consumers' intentions to purchase in bundles is presented.
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•Proceedings Article
Understanding the Role of Data Analytics in Driving Discriminatory Managerial Decisions
Sepideh Ebrahimi,Maryam Ghasemaghaei,Khaled Hassanein +2 more
- 01 Jan 2016
TL;DR: It is posited that four dimensions of moral disengagement, namely, dehumanization, euphemistic labeling, displacement of responsibility, and disregard of consequences are the mechanisms through which the use of data analytics tools in organizations could bring about discriminatory decisions.
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Psychological barriers of using wearable devices by seniors: A mixed-methods study
TL;DR: In this article , the authors explored the psychological barriers that influenced seniors' attitudes and intentions to use wearable devices by conducting mixed-methods research and found that perceived complexity and uncertainty were the most significant barriers that negatively impacted seniors' decision to wear wearable devices.
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Effective Factors on Iranian Consumers Behavior in Internet Shopping: A Soft Computing Approach
TL;DR: The results showed that companies should invest on different factors for different types of products to motivate consumers to shop online from them, and suggested the merits of ANNs as non-linear predictors in commercial studies which can be used in reverse engineering.
6
•Proceedings Article
Intention to Use Recommendation Agents for Online Shopping: The Role of Cognitive Age and Agent Complexity
Maryam Ghasemaghaei,Khaled Hassanein,Izak Benbasat +2 more
- 01 Jan 2014
TL;DR: A theoretical model is proposed to explore the effects of cognitive age and RA complexity on consumers’ intentions to use RAs and identify differences between the experiences of younger and older adults in using RAs based on their cognitive age.
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