主讲人简介：

Prof. Lorna Uden is Emeritus Professor of IT systems in the school of Computing, Engineering and Technology at Staffordshire University. She haspublished widely in conferences, journals, chapters of books andworkshops. Her research interestsinclude Learning Technology, Web Engineering and Technology, Human ComputerInteraction, Groupware, Activity Theory, big data,innovation , E-business, Knowledgemanagement, E-government, Semantic web, Web services ,big data, service innovation, social media,Service Science, Internet of Things (IOT), intelligent transport systems andProblem-Based Learning (PBL).

Professor Uden is program committee memberfor many international conferences and workshops. She is on the editorial boardof several international journals. She is founder and editor in chief of theInternational Journal of Web Engineering and Technology (IJWET) and theInternational Journal of Learning Technology (IJLT), published by Inderscience,UK.

Professor Uden is also visiting professorto universities in Australia, Brazil, China, Colombia, Finland, India, Italy,Japan, South Korea, Malaysia, Mexico, New Zealand, Slovenia, Slovakia, Spain,South Africa, Taiwan and West Indies. . She has been keynote speaker at manyinternational conferences. On the international front, she collaborates widelywith colleagues worldwide in paper writing. She is the founder of the KMO and LTEC conferences. Professor Uden is also the conference chair of KMO2019 andLTEC 2019.

摘要：

Big Data represents a key new type ofeconomic asset that is now permeating all the areas of companies. It has becomea strategic factor in organizations’ competitiveness and also radicallychanging the world, affecting the daily lives of individuals, companies, andpublic institutions. Despite the potentials benefits of big data inorganisations, there is very little knowledge how to transform thestakeholders’ big data into values that can be used in organisations. The paperdefines a conceptual framework for transforming Big Data into organizationalvalue by applying principles from Service Science and Activity Theory.

The proposed framework harnesses the powerof Big Data, collectively created by the engagement of multiple stakeholdersbased on the concepts of service ecosystems, using Activity Theory. An examplefrom the intellectual capital management is used to show how the framework canbe used to transform Big Data into organizational values for entrepreneurial universities. It shows how the process of value creation on the basis of a set of critical dimensions can be useful to identify goals, main actors andstakeholders, processes and motivations. The use of this framework canalso be applied in other fields.