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Dr Spyros Angelopoulos' Outputs (6)

Blazing the Trail: Considering Browsing Path Dependence in Online Service Response Strategy (2022)
Journal Article
Zuo, M., Angelopoulos, S., Liang, Z., & Ou, C. (2023). Blazing the Trail: Considering Browsing Path Dependence in Online Service Response Strategy. Information Systems Frontiers, 25, 1605–1619. https://doi.org/10.1007/s10796-022-10311-3

Competition on e-commerce platforms is becoming increasingly fierce, due to the ease of online searching for comparing products and services. We examine how the sequential browsing behavior of consumers can enable targeted marketing strategies on e-c... Read More about Blazing the Trail: Considering Browsing Path Dependence in Online Service Response Strategy.

Paving the way toward Human-Algorithm Interactions: Understanding AI-CAD adoption for breast cancer detection (2022)
Presentation / Conference Contribution
Gante, S., & Angelopoulos, S. (2022, December). Paving the way toward Human-Algorithm Interactions: Understanding AI-CAD adoption for breast cancer detection. Presented at European Conference on Information Systems, Timisoara, Romania

Although Artificial Intelligence (AI) Computer Aided Diagnosis (CAD) frameworks can detect and classify lesions in mammograms more accurately than radiologists, the adoption rate of such frameworks is low. To address that lacuna, in this research pro... Read More about Paving the way toward Human-Algorithm Interactions: Understanding AI-CAD adoption for breast cancer detection.

Operationalizing fairness in medical AI adoption: Detection of early Alzheimer’s Disease with 2D CNN (2022)
Journal Article
Heising, L., & Angelopoulos, S. (2022). Operationalizing fairness in medical AI adoption: Detection of early Alzheimer’s Disease with 2D CNN. BMJ Health & Care Informatics, 29, Article e100485. https://doi.org/10.1136/bmjhci-2021-100485

Objectives: To operationalize fairness in the adoption of medical artificial intelligence (AI) algorithms in terms of access to computational resources, the proposed approach is based on a two-dimensional (2D) Convolutional Neural Networks (CNN), whi... Read More about Operationalizing fairness in medical AI adoption: Detection of early Alzheimer’s Disease with 2D CNN.

Security Breaches and Organization Response Strategy: Exploring Consumers’ Threat and Coping Appraisals (2022)
Journal Article
Ou, C., Zhang, X., Angelopoulos, S., Davison, R., & Janse, N. (2022). Security Breaches and Organization Response Strategy: Exploring Consumers’ Threat and Coping Appraisals. International Journal of Information Management, 65, Article 102498. https://doi.org/10.1016/j.ijinfomgt.2022.102498

We address a long-standing lacuna in the Information Management literature on the relationships among security breaches, organization response strategy as well as consumers’ threat and coping appraisal. Security breaches can involve the leak of sensi... Read More about Security Breaches and Organization Response Strategy: Exploring Consumers’ Threat and Coping Appraisals.

Digital Resilience through Training Protocols: Identifying Fake News on Social Media (2022)
Journal Article
Soetekouw, L., & Angelopoulos, S. (2024). Digital Resilience through Training Protocols: Identifying Fake News on Social Media. Information Systems Frontiers, 26, 459–475. https://doi.org/10.1007/s10796-021-10240-7

We explore whether training protocols can enhance the ability of social media users to detect fake news, by conducting an online experiment (N=417) to analyse the effect of such a training protocol, while considering the role of scepticism, age, and... Read More about Digital Resilience through Training Protocols: Identifying Fake News on Social Media.