Ricardo Costa Climent
Doktorand vid Institutionen för informatik och media
- E-post:
- ricardo.costacliment@im.uu.se
- Besöksadress:
- Ekonomikum (plan 3)
Kyrkogårdsgatan 10 - Postadress:
- Box 513
751 20 UPPSALA
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Kort presentation
Denna text finns inte på svenska, därför visas den engelska versionen.
Short presentation
Mr Ricardo COSTA CLIMENT is a doctoral researcher and a Ph.D. student in Information Systems at the Department of Informatics & Media, Uppsala University. He is also a research fellow at the Swedish National Research School on Management of Information Technology. He obtained advanced degrees in Economics and Law and then spent more than two decades serving as a legal advisor. Ricardo’s research focuses on organizations' value creation from the use of Artificial Intelligence.
Nyckelord
- actor network theory
- artifical intelligence
- business model
- data network effects
Biografi
Denna text finns inte på svenska, därför visas den engelska versionen.
Biograph
Ricardo COSTA CLIMENT is a doctoral researcher and a PhD student in Information Systems at the Department of Informatics & Media, Uppsala University. He is also a research fellow of the Swedish National Research School on Management of Information Technology a position that he has held since 2020. Ricardo’s research focuses on organisations’ value creation and appropriation from the use of Artificial Intelligence, such as machine learning techniques.
He has studied various disciplines, including digital retail, omnichannel, law, economics, among others. His graduate studies have taken him to various universities in Spain, Austria, Ireland, Norway, Denmark, and Sweden.
He holds bachelor’s and master’s degrees in Economics and Business in Law in Economic and Financial Management in University Research Training and tax consulting program.
Prior to joining Uppsala University, served as an early career researcher at Linnaeus University, Sweden, in the context of an EU-funded position within the Marie Sklodowska-Curie Training Network program. Before returning to academia, he spent 22 years as a Lawyer and Tax Advisor and then as a public servant in the Valencian Government in Spain.
He has served as a reviewer in several journals and international conferences and as a member of the Editorial Review Board for the Journal of Business Accounting and Finance Perspectives.
Publikationer
Urval av publikationer
- Business model theory-based prediction of digital technology use (2021)
- Value creation through the evolution of business model themes (2021)
- CO2 reduction through digital transformation in long-haul transportation (2021)
- How machine learning activates data network effects in business models (2021)
Senaste publikationer
- Maximizing the benefitsof machine learning:enhancing data networkeffects theory to improvevalue creation andappropriation (2023)
- Using machine learning to create and capture value in the business models of small and medium-sized enterprises (2023)
- Value creation and appropriation from the use of machine learning (2023)
- Five dimensions of business model innovation (2023)
- A pathway to bypassing market entry barriers from data network effects (2023)
Alla publikationer
Artiklar
- Maximizing the benefitsof machine learning:enhancing data networkeffects theory to improvevalue creation andappropriation (2023)
- Using machine learning to create and capture value in the business models of small and medium-sized enterprises (2023)
- Value creation and appropriation from the use of machine learning (2023)
- Five dimensions of business model innovation (2023)
- A pathway to bypassing market entry barriers from data network effects (2023)
- The Role of Machine Learning in Creating and Capturing Value (2022)
- Machine learning for value creation (2022)
- Value creation through omnichannel practices for multi-actor customers (2022)
- Business model theory-based prediction of digital technology use (2021)
- Value creation through the evolution of business model themes (2021)
- CO2 reduction through digital transformation in long-haul transportation (2021)
- How machine learning activates data network effects in business models (2021)