Data-driven innovation management

This course has been developed to connect cutting-edge techniques for data management, analysis and protection in the field of management of innovation and organizational transformation. It aims to facilitate learning about key developments and applications in the management of innovation field. The course helps students to develop up-to-date empirical skills for the formulation of appropriate strategies in the area of innovation at the business level. It examines available data sources of intellectual property rights and equips students with up-to-date knowledge and thinking from experts in this area. This course aims to provide a dynamic platform for learning, which exploits the latest research and practice from experts (academics and practitioners) exploiting a hand-on approach.

Having successfully completed this module, students will be able to demonstrate knowledge and understanding of: the key and advanced dimensions of data management for intellectual property rights - Retrieval, Cleaning, Analysis, Choice and Implementation; diagnostic, practical and creative skills to analyse and evaluate a range of business solutions in relation to intellectual property rights; organisations' ability to implement chosen strategies and identify the areas requiring change. Students will develop skills in generating alternative solutions to complex issues surrounding intellectual property rights management at the business level, underpinning each with a supportive and well researched rationale in order to achieve critical success; evaluate these solutions, analysing the impact of potential outcomes on the various stakeholder groups; analyse alternative strategies for intellectual property development in differing operating contexts; assess the importance of data quality and design of indicators to effective intellectual property management. In order to acquire these skills, students will learn how to obtain, analyse and apply information from a variety of sources in the public and private domains; master new skills in relation to the retrieval and analysis of intellectual property data; work collectively as an effective and efficient group member, including, where appropriate, organising, guiding and motivating others; plan and enact the successful completion of a personal workload; communicate both orally and in written form, using and justifying arguments within reports, presentations and debates.