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Dr Spyros Angelopoulos' Outputs (21)

Looking forward through the rear-view mirror: A socio-technical imaginaries perspective for envisioning the Metaverse beyond the hype (2024)
Journal Article
Hunt, M. H., & Angelopoulos, S. (2024). Looking forward through the rear-view mirror: A socio-technical imaginaries perspective for envisioning the Metaverse beyond the hype. Decision support systems, 187, Article 114338. https://doi.org/10.1016/j.dss.2024.114338

We build upon the theoretical underpinnings of federated networks and adopt a socio-technical imaginaries perspective to envision the future of the Metaverse, informed by an understanding of the past and an assessment of the present. In doing so, we... Read More about Looking forward through the rear-view mirror: A socio-technical imaginaries perspective for envisioning the Metaverse beyond the hype.

Wake up and search for coffee: Considering the circadian rhythm of consumers on online marketplaces (2024)
Journal Article
Liang, Z., Angelopoulos, S., Zuo, M., & Ou, C. X. J. (2024). Wake up and search for coffee: Considering the circadian rhythm of consumers on online marketplaces. Journal of Business Research, 184, Article 114901. https://doi.org/10.1016/j.jbusres.2024.114901

Online marketplaces are characterised by rapid product updates and understanding consumer variety-seeking behaviour (VSB) is paramount for brands operating in this landscape. The literature, however, has fallen short of considering that consumers' op... Read More about Wake up and search for coffee: Considering the circadian rhythm of consumers on online marketplaces.

Less is more: Engagement with the content of social media influencers (2024)
Journal Article
van der Harst, J. P., & Angelopoulos, S. (2024). Less is more: Engagement with the content of social media influencers. Journal of Business Research, 181, Article 114746. https://doi.org/10.1016/j.jbusres.2024.114746

We draw upon theories of social media engagement to explore the factors affecting the success of the various influencer types, based on the size of their audience. We use the social media content of 8,076 influencers and employ sentiment analysis of... Read More about Less is more: Engagement with the content of social media influencers.

The impact of intersectional racial and gender biases on minority female leadership over two centuries (2024)
Journal Article
Pogrebna, G., Angelopoulos, S., Motsi-Omoijiade, I., Kharlamov, A., & Tkachenko, N. (2024). The impact of intersectional racial and gender biases on minority female leadership over two centuries. Scientific Reports, 14(1), Article 111. https://doi.org/10.1038/s41598-023-50392-x

This study scrutinizes the enduring effects of racial and gender biases that contribute to the consistent underrepresentation of minority women in leadership roles within American private, public, and third sector organizations. We adopt a behavioura... Read More about The impact of intersectional racial and gender biases on minority female leadership over two centuries.

Optimization of dynamic product offerings on online marketplaces: A network theory perspective (2023)
Journal Article
Zuo, M., Angelopoulos, S., Ou, C., Liu, H., & Liang, Z. (2023). Optimization of dynamic product offerings on online marketplaces: A network theory perspective. Journal of Management Information Systems, 40(4), 1328-1357. https://doi.org/10.1080/07421222.2023.2267314

The fierce competition amongst brands on online marketplaces makes the optimization of offerings within this context a significant challenge. To address this challenge, we draw upon network theory and model the degree of competition through consumers... Read More about Optimization of dynamic product offerings on online marketplaces: A network theory perspective.

Big data-driven theory building: Philosophies, guiding principles, and common traps (2023)
Journal Article
Kar, A., Angelopoulos, S., & Rao, H. (online). Big data-driven theory building: Philosophies, guiding principles, and common traps. International Journal of Information Management, 71, Article 102661. https://doi.org/10.1016/j.ijinfomgt.2023.102661

While data availability and access used to be a major challenge for information systems research, the growth and ease of access to large datasets and data analysis tools has increased interest to use such resources for publishing. Such publications,... Read More about Big data-driven theory building: Philosophies, guiding principles, and common traps.

Navigating Digital Transformation through an Information Quality Strategy: Evidence from a Military Organization (2023)
Journal Article
Struijk, M., Angelopoulos, S., Ou, C., & Davison, R. (2023). Navigating Digital Transformation through an Information Quality Strategy: Evidence from a Military Organization. Information Systems Journal, 33(4), 912-952. https://doi.org/10.1111/isj.12430

The use of digital technologies for extracting information from various data sources can help organizations to reduce uncertainty and improve decision-making. The increasing availability in volume, velocity, and variety of data, however, can give ris... Read More about Navigating Digital Transformation through an Information Quality Strategy: Evidence from a Military Organization.

Navigating digital transformation through an information quality strategy: Evidence from a military organisation (2023)
Journal Article
Struijk, M., Angelopoulos, S., Ou, C., & Davison, R. (2023). Navigating digital transformation through an information quality strategy: Evidence from a military organisation. Information Systems Journal, 33(4), 912-952. https://doi.org/10.1111/isj.12430

The use of digital technologies for extracting information from various data sources can help organisations to reduce uncertainty and improve decision-making. The increasing availability in volume, velocity, and variety of data, however, can give ris... Read More about Navigating digital transformation through an information quality strategy: Evidence from a military organisation.

From Groups to Communities: A Resource Mobilization Theory Perspective on the Emergence of Communities (2023)
Journal Article
Angelopoulos, S., Canhilal, K. S., Canhilal, S., & Hawkins, M. A. (2023). From Groups to Communities: A Resource Mobilization Theory Perspective on the Emergence of Communities. Information Systems Frontiers, 25(6), 2457-2474. https://doi.org/10.1007/s10796-023-10368-8

Groups and communities have been key topics in the information systems (IS) research agenda. While communities are assumed to emerge at the intersection of overlapping groups and their practices, prior research has mainly focused on their dynamics an... Read More about From Groups to Communities: A Resource Mobilization Theory Perspective on the Emergence of Communities.

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.