The mediating role of innovation ambidexterity on big data analytics capability and patient service performance

Abstract

Over the past few years, the confluence of several trends in the health industry has accelerated. In particular, consumers have a growing need for convenience and easily accessible health care. To cater to those needs, digital transformation is considered by leading health systems as a way to become more consumer-friendly while simultaneously changing their operations, culture, and use of technology.
Healthcare providers have high levels of ambition for digital optimization and transformation. However, their aspirations are hindered by a significant gap in their innovation ambidexterity capabilities. Innovation ambidexterity is considered finding a balance between exploitative and explorative innovation activities.
This research contributes to the scientific literature on digital transformations within healthcare. It examines a new conceptual framework using survey data of Dutch hospital departments and employing structural equation model (SEM) analysis from the partial least square (PLS) approach. This research is one of the first studies that show the effects of big data analytics capability, evidence-based decision-making culture, and innovation ambidexterity on patient service performance. Besides that, it also fills the literature gaps related to driving factors of digital innovation and the mediating role of innovation ambidexterity on patient service performance.

Date of Award	15 Feb 2022
Original language	English
Supervisor	Rogier van de Wetering (Examiner) & Pien Walraven (Supervisor)