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Institutional theory and technology adoption: Performance measures and drivers of medical technology in healthcare service industry

Institutional theory and technology adoption: Performance measures and drivers of medical technology in healthcare service industry

Khemanijkul, Kwanchai, Adebanjo, Dotun ORCID: 0000-0003-4845-9411, Laosirihongthong, Tritos and Samaranayake, Premaratne (2018) Institutional theory and technology adoption: Performance measures and drivers of medical technology in healthcare service industry. In: Proceedings of the 23nd Asia Pacific DSI Conference. The Asia-Pacific Decision Science Institute International Conference (APDSI), pp. 1-10. ISSN 1539-1191

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Abstract

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.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings of the 23nd Asia Pacific DSI Conference
Additional Information: The 23rd Asia-Pacific Decision Science Institute International Conference (APDSI 2018) on “Corporate Entrepreneurship & Innovation” was held from 16 - 20 July, 2018 in Bangkok, Thailand.
Uncontrolled Keywords: Innovation, Thailand, Technology.
Faculty / Department / Research Group: Faculty of Business
Faculty of Business > Department of Systems Management & Strategy
Faculty of Business > Supply Chain Management Research Group
Faculty of Business > Networks and Urban Systems Centre (NUSC) > Supply Chain Management Research Group
Related URLs:
Last Modified: 13 Sep 2018 22:37
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/21434

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