Vincenzo Varriale
Biographic Data
| ID | 6195916 |
|---|---|
| NAME | Vincenzo Varriale |
| GIVEN NAMES | Vincenzo |
| FAMILY NAME | Varriale |
| SIGNATURE | VARRIALE V |
| AFFILIATIONS | University of Salerno |
| ORCID | 0000-0003-4382-7350 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 16 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Digital transformation in healthcare operations
Healthcare requires continuous innovation to address rising costs, infrastructure challenges, and global health threats. In this context, digital transformation, enabled by emerging technologies, has become essential. However, this anticipated transformation has yet to fully materialize. Despite the growing interest, current research remains fragmented: case studies explore these technologies in specific operational scenarios, while literature re…
Discovering technological opportunities of cutting-edge technologies
This paper presents a methodology for discovering technological opportunities of cutting-edge technologies by capturing information from literature. Technological opportunities are expressed in the form of business applications of technologies in untested contexts, i.e. unexplored industries and business processes. The paper underscores the advantages of discovering opportunities starting from existing emerging practices presented in scientific p…
Unleashing digital transformation to achieve the sustainable development goals across multiple sectors
Digital technologies have the potential to support achieving the Sustainable Development Goals (SDGs). Existing scientific literature lacks a comprehensive analysis of the triple link: “digital technologies – different industry sectors – SDGs”. By systematically analyzing extant literature, 1098 sustainable business practices have been collected from 578 papers, using 11 digital technologies in 17 industries to achieve the 17 SDGs. For instance, …
Employing online big data and patent statistics to examine the relationship between end product's perceived quality and components' technological features
The aim of this work is to analyse the relationship between components' technological features and a product's perceived quality by consumers. The information about technological features is gathered from patent data, whereas the perceived quality is based on a voluminous set of online users' opinions. The research intends to let emerge the usefulness of big data for managing the technological development of high-tech products. The relationship i…
Unleashing digital transformation to achieve the sustainable development goals across multiple sectors
Digital technologies have the potential to support achieving the Sustainable Development Goals (SDGs). Existing scientific literature lacks a comprehensive analysis of the triple link: “digital technologies – different industry sectors – SDGs”. By systematically analyzing extant literature, 1098 sustainable business practices have been collected from 578 papers, using 11 digital technologies in 17 industries to achieve the 17 SDGs. For instance, …
Employing online big data and patent statistics to examine the relationship between end product's perceived quality and components' technological features
The aim of this work is to analyse the relationship between components' technological features and a product's perceived quality by consumers. The information about technological features is gathered from patent data, whereas the perceived quality is based on a voluminous set of online users' opinions. The research intends to let emerge the usefulness of big data for managing the technological development of high-tech products. The relationship i…
Employing online big data and patent statistics to examine the relationship between end product's perceived quality and components' technological features
The aim of this work is to analyse the relationship between components' technological features and a product's perceived quality by consumers. The information about technological features is gathered from patent data, whereas the perceived quality is based on a voluminous set of online users' opinions. The research intends to let emerge the usefulness of big data for managing the technological development of high-tech products. The relationship i…
Discovering technological opportunities of cutting-edge technologies
This paper presents a methodology for discovering technological opportunities of cutting-edge technologies by capturing information from literature. Technological opportunities are expressed in the form of business applications of technologies in untested contexts, i.e. unexplored industries and business processes. The paper underscores the advantages of discovering opportunities starting from existing emerging practices presented in scientific p…
Unleashing digital transformation to achieve the sustainable development goals across multiple sectors
Digital technologies have the potential to support achieving the Sustainable Development Goals (SDGs). Existing scientific literature lacks a comprehensive analysis of the triple link: “digital technologies – different industry sectors – SDGs”. By systematically analyzing extant literature, 1098 sustainable business practices have been collected from 578 papers, using 11 digital technologies in 17 industries to achieve the 17 SDGs. For instance, …
Digital transformation in healthcare operations
Healthcare requires continuous innovation to address rising costs, infrastructure challenges, and global health threats. In this context, digital transformation, enabled by emerging technologies, has become essential. However, this anticipated transformation has yet to fully materialize. Despite the growing interest, current research remains fragmented: case studies explore these technologies in specific operational scenarios, while literature re…
Computer Science (3 works) · Business (2 works) · Data science (2 works) · Digital transformation (2 works) · Digital Transformation in Industry (2 works) · Engineering (2 works) · Innovation and Knowledge Management (2 works) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work)