Publications

Authors:

Cobelli, Nicola; Blasi, Silvia

Title:

Combining topic modeling and bibliometric analysis to understand the evolution of technological innovation adoption in the healthcare industry

Year:

2024

Type of item:

Articolo in Rivista

Tipologia ANVUR:

Articolo su rivista

Language:

Inglese

Referee:

No

Name of journal:

EUROPEAN JOURNAL OF INNOVATION MANAGEMENT

ISSN of journal:

1460-1060

N° Volume:

27

Number or Folder:

9

Page numbers:

127-149

Keyword:

Digital transformation; Healthcare management; Bibliometric analysis; Topic modeling; UTAUT; UTAUT2

Short description of contents:

PurposeThis paper explores the Adoption of Technological Innovation (ATI) in the healthcare industry. It investigates how the literature has evolved, and what are the emerging innovation dimensions in the healthcare industry adoption studies.Design/methodology/approachWe followed a mixed-method approach combining bibliometric methods and topic modeling, with 57 papers being deeply analyzed.FindingsOur results identify three latent topics. The first one is related to the digitalization in healthcare with a specific focus on the COVID-19 pandemic. The second one groups up the word combinations dealing with the research models and their constructs. The third one refers to the healthcare systems/professionals and their resistance to ATI.Research limitations/implicationsThe study's sample selection focused on scientific journals included in the Academic Journal Guide and in the FT Research Rank. However, the paper identifies trends that offer managerial insights for stakeholders in the healthcare industry.Practical implicationsATI has the potential to revolutionize the health service delivery system and to decentralize services traditionally provided in hospitals or medical centers. All this would contribute to a reduction in waiting lists and the provision of proximity services.Originality/valueThe originality of the paper lies in the combination of two methods: bibliometric analysis and topic modeling. This approach allowed us to understand the ATI evolutions in the healthcare industry.

Note:

AJG1

Product ID:

138668

Handle IRIS:

11562/1122526

Last Modified:

October 19, 2024

Bibliographic citation:

Cobelli, Nicola; Blasi, Silvia, Combining topic modeling and bibliometric analysis to understand the evolution of technological innovation adoption in the healthcare industry «EUROPEAN JOURNAL OF INNOVATION MANAGEMENT» , vol. 27 , n. 9 , 2024 , pp. 127-149

Consulta la scheda completa presente nel repository istituzionale della Ricerca di Ateneo