Umberto Panniello

Orcid: 0000-0002-7902-5993

According to our database1, Umberto Panniello authored at least 26 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
A Microfoundation Perspective on Business Model Innovation: The Cases of Roblox and Meta in Metaverse.
IEEE Trans. Engineering Management, 2024

How Can Technological Resources Improve the Quality of Healthcare Service? The Enabling Role of Big Data Analytics Capabilities.
IEEE Trans. Engineering Management, 2024

Source of funding and specialized competences: the impact on the innovative performance of start-ups.
J. Knowl. Manag., 2024

2023
Digital business model innovation in metaverse: How to approach virtual economy opportunities.
Inf. Process. Manag., September, 2023

2021
The improvement of the clinical decision-making through the Business Intelligence.
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

2019
Talkographics: Measuring TV and Brand Audience Demographics and Interests from User-Generated Content.
Int. J. Electron. Commer., 2019

Recommendation strategies in personalization applications.
Inf. Manag., 2019

Towards Industry 4.0.
Bus. Process. Manag. J., 2019

2017
Does the Users' Tendency to Seek Information Affect Recommender Systems' Performance?
J. Univers. Comput. Sci., 2017

Leveraging Big Data for Sustaining Open Innovation: The Case of Social TV.
Inf. Syst. Manag., 2017

2016
Unveiling the breakthrough potential of established technologies: an empirical investigation in the aerospace industry.
Technol. Anal. Strateg. Manag., 2016

Research Note - In CARSs We Trust: How Context-Aware Recommendations Affect Customers' Trust and Other Business Performance Measures of Recommender Systems.
Inf. Syst. Res., 2016

Using context for online customer re-identification.
Expert Syst. Appl., 2016

The impact of profit incentives on the relevance of online recommendations.
Electron. Commer. Res. Appl., 2016

2014
How to use recommender systems in e-business domains.
Webology, 2014

Comparing context-aware recommender systems in terms of accuracy and diversity.
User Model. User Adapt. Interact., 2014

2013
The effect of context on misclassification costs in e-commerce applications.
Expert Syst. Appl., 2013

2012
Using context to improve the effectiveness of segmentation and targeting in e-commerce.
Expert Syst. Appl., 2012

Incorporating context into recommender systems: an empirical comparison of context-based approaches.
Electron. Commer. Res., 2012

2011
Beyond Customer Churn: Generating Personalized Actions to Retain Customers in a Retail Bank by a Recommender System Approach.
J. Intell. Learn. Syst. Appl., 2011

The effect of context-aware recommendations on customer purchasing behavior and trust.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

Context-Aware Recommender Systems: A Comparison Of Three Approaches.
Proceedings of the 5th International Workshop on New Challenges in Distributed Information Filtering and Retrieval, 2011

2009
Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems.
Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Comparing Pre-filtering and Post-filtering Approach in a Collaborative Contextual Recommender System: An Application to E-Commerce.
Proceedings of the E-Commerce and Web Technologies, 10th International Conference, 2009

Including Context in a Transactional Recommender System Using a Pre-filtering Approach: Two Real E-commerce Applications.
Proceedings of the 23rd International Conference on Advanced Information Networking and Applications, 2009

2008
The Effect of Context on the Predictive Performance of Segmentation.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008


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