Valentina Cillo
Biographic Data
| ID | 4465924 |
|---|---|
| NAME | Valentina Cillo |
| GIVEN NAMES | Valentina |
| FAMILY NAME | Cillo |
| SIGNATURE | CILLO V |
| AFFILIATIONS | Pegaso University |
| ORCID | 0000-0001-7606-4746 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
From regulatory learning to institutional change
Tackling the empowerment of Artificial Intelligence for humanitarian intervention from Save the Children
The growing needs of humanitarian organisations have intensified discussions around the use of Artificial Intelligence (AI) to enhance humanitarian interventions. While concerns about the costs and time required to adopt AI technologies persist, there is a strong willingness within the sector to leverage AI to become more flexible, adaptive to local conditions, and deliver assistance more efficiently and effectively. Drawing on the Knowledge-Base…
Digital servitisation for sustainable business model innovation in the automotive industry
Uncovering the micro-foundations of knowledge sharing in open innovation partnerships
Tips to use partial least squares structural equation modelling (PLS-SEM) in knowledge management
Purpose Structural equation modelling (SEM) has been defined as the combination of latent variables and structural relationships. The partial least squares SEM (PLS-SEM) is used to estimate complex cause-effect relationship models with latent variables as the most salient research methods across a variety of disciplines, including knowledge management (KM). Following the path initiated by different domains in business research, this paper aims to…
Understanding sustainable innovation
In order to adhere to the concept of sustainable development, firms are increasingly expected to develop innovations that reconcile economic, environmental, and social goals (i.e., sustainable innovations). However, achieving this goal is not straightforward, and although several studies have attempted to improve our understanding of sustainable innovation, a systematization of extant findings is lacking. Therefore, this paper conducts a literatu…
No prominent works on this page.
Tips to use partial least squares structural equation modelling (PLS-SEM) in knowledge management
Purpose Structural equation modelling (SEM) has been defined as the combination of latent variables and structural relationships. The partial least squares SEM (PLS-SEM) is used to estimate complex cause-effect relationship models with latent variables as the most salient research methods across a variety of disciplines, including knowledge management (KM). Following the path initiated by different domains in business research, this paper aims to…
Understanding sustainable innovation
In order to adhere to the concept of sustainable development, firms are increasingly expected to develop innovations that reconcile economic, environmental, and social goals (i.e., sustainable innovations). However, achieving this goal is not straightforward, and although several studies have attempted to improve our understanding of sustainable innovation, a systematization of extant findings is lacking. Therefore, this paper conducts a literatu…
Uncovering the micro-foundations of knowledge sharing in open innovation partnerships
Tackling the empowerment of Artificial Intelligence for humanitarian intervention from Save the Children
The growing needs of humanitarian organisations have intensified discussions around the use of Artificial Intelligence (AI) to enhance humanitarian interventions. While concerns about the costs and time required to adopt AI technologies persist, there is a strong willingness within the sector to leverage AI to become more flexible, adaptive to local conditions, and deliver assistance more efficiently and effectively. Drawing on the Knowledge-Base…
Digital servitisation for sustainable business model innovation in the automotive industry
From regulatory learning to institutional change
Computer Science (3 works) · Business (2 works) · Action (physics) (1 work) · Action learning (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Automotive industry (1 work) · Business model (1 work) · Conceptual model (1 work) · Corporate governance (1 work)