Maryam Ghasemaghaei

Management Information Systems · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 49 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Management Information Systems — 57 citations into it; #3,087 of 3,376 by trust here, #3,232 by citations
• Strategy and Management — 43 citations into it; #9,796 of 10,874 by trust here, #10,616 by citations
• Sociology and Political Science — 30 citations into it
• Information Systems and Management — 24 citations into it
• Management Science and Operations Research — 24 citations into it; #11,087 of 11,946 by trust here, #11,360 by citations
• Safety Research — 21 citations into it
• Information Systems — 19 citations into it
• Organizational Behavior and Human Resource Management — 18 citations into it

Whom Maryam Ghasemaghaei trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ned Kock
2. Heshan Sun
3. Samuel Fosso Wamba
4. Shahriar Akter
5. Naresh K. Malhotra
6. Ahmed Ali Abbasi
7. Philip M. Podsakoff
8. Jifeng Luo
9. Angappa Gunasekaran
10. Joaquín Alegre

Who trusts Maryam Ghasemaghaei overall

1. Goran Calic

Papers from Maryam Ghasemaghaei's perspective

Ordered by how strongly the researchers Maryam Ghasemaghaei trusts endorse each paper. Same corpus, a different order for every researcher.

1. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
2. Common method biases in behavioral research: a critical review of the literature and recommended remedies. (Journal of Applied Psychology)
3. Business Intelligence and Analytics: From Big Data to Big Impact (MIS Q.)
4. Big data: the management revolution. (Harvard Business Review)
5. Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research (Management Sciences)
6. Validation Guidelines for IS Positivist Research (Communications of the Association for Information Systems)
7. Big Data's Disparate Impact
8. Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
9. A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption Study (Information systems research)
10. Competing on Analytics: The New Science of Winning

Their papers

• Algorithmic bias: review, synthesis, and future research directions (2021) — 444 citations
• Assessing the impact of big data on firm innovation performance: Big data is not always better data (2020) — 452 citations
• Data analytics competency for improving firm decision making performance (2018) — 324 citations