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Operations Research (OR) is a fast-evolving field, which is having a significant impact on its neighbouring disciplines of Business Analytics and Data Science, and on contemporary business and management practices. It can be a difficult field to navigate, because of the multiplicity of academic journals devoted to it, and the need for extensive prior knowledge to comprehend the more technical articles in OR. We have therefore set ourselves the ambitious task of synthesising the state of the art in major aspects of Operations Research, as well as showcasing some of the latest developments, both in theory and in practical application. Views differ on what should be included within the scope of Operations Research.Most would agree that optimisation (including heuristics) and simulation methods, that can be used for Prescriptive Analytics, would fall under the banner of OR. But what about forecasting methods that can be used for Predictive Analytics? At a more fundamental level, should ‘soft OR’ be in scope or out of scope? We have taken the view that an inclusive stance is the most helpful, both for theory and practice. Real-world problems often require consideration from both ‘softer’ and ‘harder’ perspectives and need consideration of both predictive and prescriptive problems.