Major Determinants of Innovation Performance in the Context of Healthcare Sector

Abdelmohsen A. Nassani, Asad Javed, Joanna Rosak-Szyrocka (), Ladislav Pilar, Zahid Yousaf () and Mohamed Haffar
Additional contact information
Abdelmohsen A. Nassani: Department of Management, College of Business Administration, King Saud University, P.O. Box. 71115, Riyadh 11587, Saudi Arabia
Asad Javed: Department of Management Sciences, Hazara University, Mansehra 21120, Pakistan
Joanna Rosak-Szyrocka: Department of Production Engineering and Safety, Faculty of Management, Czestochowa University of Technology, 42-200 Czestochowa, Poland
Ladislav Pilar: Department of Management, Faculty of Economics and Management, Czech University of Life Sciences Prague, 16500 Prague, Czech Republic
Zahid Yousaf: Higher Education Department, Government College of Management Sciences, Mansehra 21300, Pakistan
Mohamed Haffar: Department of Management, Birmingham Business School, University of Birmingham, Birmingham B15 2TY, UK

IJERPH, 2023, vol. 20, issue 6, 1-14

Abstract: Through the innovation network (IN) and the use of artificial intelligence (AI), this study aims to look into the innovation performance (IP) of the healthcare industry. Digital innovation (DI) is also tested as a mediator. For the collection of data, cross-sectional methods and quantitative research designs were used. To test the study hypotheses, the SEM technique and multiple regression technique were used. Results reveal that AI and the innovation network support the attainment of innovation performance. The finding demonstrates that the relationship between INs and IP links and AI adoption and IP links is mediated through DI. The healthcare industry plays a vital role in facilitating public health and improving the living standards of the people. This sector’s growth and development are largely dependent on its innovativeness. This study highlights the major determinants of IP in the healthcare industry in terms of IN and AI adoption. This study adds to the literature’s knowledge via an innovative proposal in which the mediation role of DI among IN-IP and AI adoption-innovation links is investigated.

Keywords: innovation performance; healthcare industry; innovation network; artificial intelligence adoption; digital innovation (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1660-4601/20/6/5007/pdf (application/pdf)
https://www.mdpi.com/1660-4601/20/6/5007/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:20:y:2023:i:6:p:5007-:d:1095089

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().