TY - GEN
T1 - Institutional theory and technology adoption : performance measures and drivers of medical technology in healthcare service industry
AU - Khemanijkul, Kwanchai
AU - Adebanjo, Dotun
AU - Laosirihongthong, Tritos
AU - Samaranayake, Premaratne
PY - 2018
Y1 - 2018
N2 - ![CDATA[This paper addresses the performance measures and institutional drivers for successful adoption of Medical Technology (Medtech), which is claimed as the pulse for healthcare service industry. Institutional theory is used as the analytical lens to analyze Medtech adoption in healthcare. The study investigates indicators at two levels, (1) macro level: reflecting the service performance of hospital, (2) micro level: explaining end-to-end operating performance. This article also presents drivers for Medtech adoption from the viewpoint of institutional pressures examined as coercive, normative, and mimetic pressure. Finally, the case study of hospitals in Thailand will demonstrate both two level of performance measures, and reveal three types of institutional drivers for successful of Medtech adoption in hospitals. This finding may help to improve the strategic view of Medtech adoption through more effective performance measurement and institutional driver identification.]]
AB - ![CDATA[This paper addresses the performance measures and institutional drivers for successful adoption of Medical Technology (Medtech), which is claimed as the pulse for healthcare service industry. Institutional theory is used as the analytical lens to analyze Medtech adoption in healthcare. The study investigates indicators at two levels, (1) macro level: reflecting the service performance of hospital, (2) micro level: explaining end-to-end operating performance. This article also presents drivers for Medtech adoption from the viewpoint of institutional pressures examined as coercive, normative, and mimetic pressure. Finally, the case study of hospitals in Thailand will demonstrate both two level of performance measures, and reveal three types of institutional drivers for successful of Medtech adoption in hospitals. This finding may help to improve the strategic view of Medtech adoption through more effective performance measurement and institutional driver identification.]]
KW - medical technology
KW - medical care
KW - performance
KW - hospitals
KW - Thailand
UR - http://handle.westernsydney.edu.au:8081/1959.7/uws:47561
M3 - Conference Paper
SP - 97
EP - 107
BT - Proceedings of The 23rd Asia-Pacific Decision Science Institute International Conference: "Corporate Entrepreneurship & Innovation", July 17-20, 2018, Bangkok, Thailand
PB - Rajamangala University of Technology Rattanakosin
T2 - Asia-Pacific Decision Science Institute. International Conference
Y2 - 17 July 2018
ER -
