학술논문
Analysis of Human Error of EHS in Healthcare Industry Using TISM
Document Type
Chapter
Author
Das, Kedar Nath, Editor; Bansal, Jagdish Chand, Editor; Deep, Kusum, Editor; Nagar, Atulya K., Editor; Pathipooranam, Ponnambalam, Editor; Naidu, Rani Chinnappa, Editor; Bhalaji, R. K. A.; Bathrinath, S.; Samantra, Chitrasen; Saravanasankar, S.; Kacprzyk, Janusz, Series Editor; Pal, Nikhil R., Advisory Editor; Bello Perez, Rafael, Advisory Editor; Corchado, Emilio S., Advisory Editor; Hagras, Hani, Advisory Editor; Kóczy, László T., Advisory Editor; Kreinovich, Vladik, Advisory Editor; Lin, Chin-Teng, Advisory Editor; Lu, Jie, Advisory Editor; Melin, Patricia, Advisory Editor; Nedjah, Nadia, Advisory Editor; Nguyen, Ngoc Thanh, Advisory Editor; Wang, Jun, Advisory Editor
Source
Soft Computing for Problem Solving : SocProS 2018, Volume 2. 01/01/2020. 1057:55-66
Subject
Language
English
ISSN
2194-5357
2194-5365
2194-5365
Abstract
Human error plays a key role in healthcare industry. The risk factors for human error involved in environmental health and safety section is extremely high when compared to other sections. The objective of this paper is to recognize the most influential factors for human error of EHS in healthcare industry. The risk factors are identified from the literature survey as well as inputs from industrial experts. The identified factors are analyzed using one of the soft computing tools known as total interpretive structural modeling (TISM). The model of TISM clearly shows the driving power and reliance power of the factor. A case empirical study is conducted in an Indian healthcare industry for verifying the suggested model. The outcomes of the paper will help industrial managers for implementing the framework of EHS and also will enhance the managerial excellence. Finally, to verity the TISM results, a statistical validation is done using covariance-based structural equation modeling (CBSEM).