Healthcare costs continue to increase dramatically, while quality remains a significant problem. Reform measures initiated by the government will drive expansion of these costs, further stressing taxpayers and employers, and forcing hospitals to adopt fundamental changes as they try to adjust to...

This paper studies associations between the use of formal decision-making processes in e-Government projects and the outcomes of these projects. By doing so, this study contributes to the decision sciences as well as to the fields of e-Government, information systems and public administration....

Industrial Symbiosis (IS) is a collaborative cross-sectoral approach to connect the resource supply and demand of various industries in order to optimize the resource use through exchange of materials, energy, water and human resources across different companies, while generating ecological,...

Considering the rapid advancements in artificial intelligence (AI) and their potential implications for the higher education sector, this article seeks to critically evaluate the strategic adoption of AI in the framework of "smart universities". We envisage these innovative institutions as the...

This paper empirically examines the impact of the quality of information and control system (the internal control system, the accounting information system, the financial information, and the non-financial information) on decision-making success and business performance. It follows a...

Organizations are increasingly introducing data science initiatives to support decision-making. However, the decision outcomes of data science initiatives are not always used or adopted by decision-makers, often due to uncertainty about the quality of data input. It is, therefore, not surprising...

In the healthcare field, the decision-making process is part of the broad spectrum of “clinical reasoning”, which is recognised as the whole process by which a physician decides about patients’ treatments and cares. Several clinicians’ intrinsic variables lead to this decisional path....