Exploring the role of fundamental factors on developing an effective network governance in healthcare systems: a structural equation modeling-based study

Abstract

Purpose: The purpose of this study is to assess the factors influencing the development of effective network governance models in healthcare systems. It addresses a research gap by examining the simultaneous impact of trust, commitment, opportunistic behavior, information sharing and knowledge sharing. Through an extensive literature review, the study formulates hypotheses to explore the interrelationships between these factors, aiming to enhance inter-organizational collaborations for high-quality and integrated healthcare services.

Design/methodology/approach: The study employed the partial least squares structural equation modeling (PLS-SEM) statistical method to investigate these hypotheses. Data were collected through a standardized questionnaire administered to 194 participants from a collaborative network in the medical diagnostic laboratories field and a medical equipment supply network.

Findings: While previous studies have examined these factors individually, this study offers a simultaneous examination, revealing that information sharing and commitment have the most significant direct influence on network governance. Furthermore, opportunistic behavior was found to strongly undermine trust within networks.

Practical implications: By addressing the research gap and providing empirical evidence, this study delivers valuable insights for healthcare practitioners, policymakers and researchers, enabling them to develop and implement effective network governance models that enhance inter-organizational collaborations in healthcare systems. These findings contribute to the advancement of knowledge in the field and have the potential to improve healthcare service delivery and patient outcomes.

Originality/value: This is the first paper that comprehensively assess the simultaneous impact of factors that shape the design of appropriate network governance models in healthcare systems.

Keywords: Healthcare systems; Network governance; Networked collaboration; Networked coordination; PLS-SEM; Structural equation modeling.