Title: DANP-based method for determining the adoption of hospital information system

Authors: Khuram Shahzad; Zeng Jianqiu; Asma Zubedi; Wen Xin; Lei Wang; Muhammad Hashim

Addresses: School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100088, China ' School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100088, China ' School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100088, China ' School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100088, China ' School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100088, China ' Department of Management Science, National Textile University Faisalabad, Faisalabad 37610, Punjab, Pakistan

Abstract: The primary purpose of this study is to identify the essential factors that are significantly driving or hindering the decision to adopt a hospital information system (HIS). This study proposes the initial theoretical model that integrates Technology Organisation Environment (TOE) framework, Human Organisation Technology (HOT) fit model and institutional theory. The initial model consists of four main dimensions and 13 variables, which are the most frequently used in prior literature and essential for the investigation of HIS adoption. The data were collected from healthcare experts who have full knowledge of HIS. Accordingly, the recently developed DANP (Decision Making Trial and Evaluation Laboratory (DEMATEL) based Analytic Network Processes (ANP)) method is employed for assessing interdependency and give weights to dimensions and criteria. As per the expert's knowledge and experience, the results indicate that perceive technical competence, compatibility, top management support, and vendor support are found to be the most essential variables for the successful adoption of HIS.

Keywords: hospital information system; public hospitals; TOE framework; HOT-fit model; institutional theory; DANP method.

DOI: 10.1504/IJCAT.2020.103900

International Journal of Computer Applications in Technology, 2020 Vol.62 No.1, pp.57 - 70

Received: 25 Oct 2018
Accepted: 12 Feb 2019
Published online: 02 Dec 2019 *

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