FM - Digital Transformation
Permanent URI for this collectionhttp://localhost:4000/handle/123456789/19
Browse
Browsing FM - Digital Transformation by Author "Dabija, Dan-Cristian"
Now showing 1 - 2 of 2
- Results Per Page
- Sort Options
Item Artificial intelligence : the future is already here(Institute of Economic Research (Poland), 2023-12-30) Dabija, Dan-Cristian; Vătămănescu, Elena-MădălinaArtificial intelligence, or AI, has become an integral part of our daily lives, revolutionizing industries such as healthcare, finance, and transportation (Çalişkan et al., 2022; Giansanti, 2022). This advanced technology is a result of the development of computer systems capable of performing tasks that traditionally require human intelligence. AI encompasses a wide range of technologies, including machine learning, deep learning, natural language processing, and computer vision. As computing technology continues to advance, the applications of AI are expected to become increasingly prevalent in our everyday lives (Dinu et al., 2023). This marks a significant intersection of various technical sciences, psychology, philosophy, and art, and has the potential to transform many aspects of human life.Item Framing consumer empowerment in the digital economy: From networks and engagement toward sustainable purchase(John Wiley & Sons Ltd, 2024-05-15) Vătămănescu, Elena-Mădălina; Dinu, Elena; Gazzola, Patrizia; Dabija, Dan-CristianThe current study investigates the influence of variety among online providers and customers' access to knowledge on consumer networks, consumer engagement, and sustainable purchasing. Emphasis is on the underlying relationships among these constructs in the digital economy, which has evolved into a complex structure of multifarious nodes and linkages unfolding in the online environment. The underlying theoretical approaches are knowledge-attitude-behavior (KAB) and customer sovereignty. Against this backdrop, a questionnaire-based survey was given to 200 Millennials (i.e., generation Y) and gen Z Italians—approached as empowered stakeholders requiring accurate information and sustainable solutions from online providers—in January 2023. The data was processed via the structural equation modeling technique PLS-SEM, based on SmartPLS 4. The findings indicated that sustainable purchasing is influenced to some extent by access to knowledge, consumer engagement, and consumer networks. The study endeavors to fill a research gap, as the relationships between variety among online providers and sustainable purchasing, as well as consumer engagement from the empowerment perspective are underexplored. The study provides new evidence of the relationships between consumer networks, consumers' access to knowledge, sustainable purchasing, and consumer engagement in the framework of online retail by inquiring respondents.