| 1. |
- Ghobakhloo, Morteza, et al.
(author)
-
Generative artificial intelligence in manufacturing : opportunities for actualizing Industry 5.0 sustainability goals
- 2024
-
In: Journal of Manufacturing Technology Management. - : Emerald Group Publishing Limited. - 1741-038X .- 1758-7786. ; 35:9, s. 94-121
-
Journal article (peer-reviewed)abstract
- Purpose: This study offers practical insights into how generative artificial intelligence (AI) can enhance responsible manufacturing within the context of Industry 5.0. It explores how manufacturers can strategically maximize the potential benefits of generative AI through a synergistic approach. Design/methodology/approach: The study developed a strategic roadmap by employing a mixed qualitative-quantitative research method involving case studies, interviews and interpretive structural modeling (ISM). This roadmap visualizes and elucidates the mechanisms through which generative AI can contribute to advancing the sustainability goals of Industry 5.0. Findings: Generative AI has demonstrated the capability to promote various sustainability objectives within Industry 5.0 through ten distinct functions. These multifaceted functions address multiple facets of manufacturing, ranging from providing data-driven production insights to enhancing the resilience of manufacturing operations. Practical implications: While each identified generative AI function independently contributes to responsible manufacturing under Industry 5.0, leveraging them individually is a viable strategy. However, they synergistically enhance each other when systematically employed in a specific order. Manufacturers are advised to strategically leverage these functions, drawing on their complementarities to maximize their benefits. Originality/value: This study pioneers by providing early practical insights into how generative AI enhances the sustainability performance of manufacturers within the Industry 5.0 framework. The proposed strategic roadmap suggests prioritization orders, guiding manufacturers in decision-making processes regarding where and for what purpose to integrate generative AI.
|
|
| 2. |
- Helander, Nina, et al.
(author)
-
Digital Healthcare Platforms Enabling Remote Care Value Creation : The Patient Perspective
- 2023
-
In: 2023 IEEE International Conference on Technology and Entrepreneurship, ICTE 2023. - 9798350303438 ; , s. 38-43
-
Conference paper (peer-reviewed)abstract
- Remote care is a growing area in healthcare, due to fast technological development offering suitable equipment and platform for distant medical consultation and care. Remote care includes a promise towards care that has the potential to improve the patient's quality of life, prevent unnecessary reception visits, reduce costs, and enable timely and early therapeutic intervention in situations where the patient's need for treatment is increasing. Even though the potential of remote care has been well recognized, many healthcare activities still need to be largely based on traditional appointments. Moreover, there is a need for empirical studies that investigate remote care possibilities and potential obstacles from the perspective of patients. This study investigates the value-creation potential of remote care provided and consumed through digital healthcare platforms from patients' perspectives. This study has an empirical focus, including a qualitative interview study of two remote care digital platforms from Lithuania and Finland.
|
|
