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Keynote Speaker

Prof. Alessio Ishizaka
University of Portsmouth, UK

Alessio Ishizaka is Full Professor in Decision Analysis, research lead and Deputy Director of the Centre of Operations Research and Logistics (CORL) at the Portsmouth Business School of the University of Portsmouth. He received his PhD from the University of Basel (Switzerland). He worked successively for the University of Exeter (UK), University of York (UK) and Audencia Grande Ecole de Management Nantes (France). He has been visiting professor at the Università del Sannio, Politecnico di Torino, Università degli Studi di Trento, INSA Strasbourg, Université de Lorraine, Universität Mannheim, Università degli Studi di Modena e Reggio Emilia, Universität der Bundeswehr Hamburg, Université d’Aix-Marseille, Università degli Studi di Torino, Università degli Studi della Tuscia and Università degli Studi di Padova. His research is in the area of decision analysis, where he has published more than 50 papers. He is regularly involved in large European funded projects. He has been the chair, co-organiser and guest speaker of several conferences on this topic. Alongside his academic activities, he acts as a consultant for companies in helping them to take better decisions. He has written the key textbook Multicriteria Decision Analysis: methods and software.

Speech Title: Visual Management Tool for Multi-criteria Decision Methods
Abstract:
In today’s increasingly globalised and complex economy that is flooded with data, taking decisions is a much more complex task. To help managers to tackle this challenge, we have developed a new multi-criteria performance management method that provides input for visual management and continuous improvement initiatives.

To improve, possible corrective strategies need to be identified and discussed. Visual analytical tools offer a way of presenting, justifying and explaining effectively and transparently decisions. Visual representation permits users to take in a large amount of information simultaneously as it maximises human capacity to perceive, understand and reason about complex data and situations. Visual representations promote high-quality human judgement with limited investment of the analysts’ time. Visual management has largely been used in production management in the forms of visual stream mapping, flow charts and area name boards. In this presentation, we show some visual techniques that can be coupled with multi-criteria decision methods. These include:

-        GAIA plane, which represents multidimensional information in a two dimensional space whilst preserving as much of it as possible

-        Stacked bar charts, which allow the user to see the pros and cons of each action.

-        Productivity graph that allows actions to be compared against each other.

These visual management tools are illustrated in a case study of innovation management and in another study evaluating of the performance of British universities.

Prof. Yanqing Duan
University of Bedfordshire, UK

Yanqing Duan (BSc, MSc, PhD, SFHEA) is a professor of Information Systems. She is also the founder and director of Business and Information Systems (BISC) at the Business School, University of Bedfordshire. Her principal research interest is the use of the emerging Information and Communication Technologies (ICT) in organisations and their impact on decision making, innovation, and knowledge management. Her recent research has focused on how, why and to what extent Business Analytics is impacting on decision making, innovation, and organisational performance. She has co-ordinated many research projects funded by various funding sources, such as: European Commission, UK Department For International Development (DFID), JISC, British Council, etc. She has published over 180 peer reviewed articles, including papers in European Journal of Information Systems, IEEE transaction on Engineering Management, Information & Management, European Journal of Marketing, Journal of Business Research, The Information Society, Expert Systems with Applications, Information Technology & People.

Speech Title: Artificial intelligence for business decision making: challenges and implications

Abstract: Artificial intelligence (AI) has been in exist for over six decades and experienced AI winters and springs. The rise of Big Data appears to have empowered AI in recent years and AI has again become an attractive topic for research. This presentation will provide an overview on the evolution of AI for supporting business decision making and discusses the critical issues regarding the interaction and integration of the AI based systems to support or replace human decision makers for business and management. Results of a study on the use of AI for supporting business executives will be presented to illustrate the perceptions, challenges and implications. The presentation will highlight the emerging research opportunities. 

Prof. Harri Ketamo
Tampere University of Technology, Finland


Adjunct Professor Harri Ketamo, Ph.D., is an independent researcher and start-up entrepreneur. Currently he is founder of HeadAI ltd (AI/robotics) and adjunct professor at Tampere University of Technology. Ketamo has published 86 international peer-reviewed research articles and had more than 200 presentations in international forums. Previously he has been e.g. Academy of Finland -granted post-doc researcher, founder of gameMiner (game AI/data mining), director of education at Satakunta University of Applied Sciences and founder of SkillPixels ltd (games based learning). Ketamo's research interests are related to artificial intelligence, learning sciences and semantic computing. He has received several international awards and nominations related to his R&D work, including e.g. European Innovative Games Award 2009 (with gameMiner), BETT Awards 2014 (with SkillPixels) and the Eisenhower Fellowship 2017.

Speech Title: Future of Work and Education
Abstract: We are facing the challenges of rapid change, global competition, digitalisation, and the replacement of human labour by intelligent automation. At the same time, companies are reporting talent shortage as one of the biggest challenge for business. 21st century work requirements are way to complex for traditional educational design: one degree don’t fit for all.

Headai applies Big Data and Natural Language Processing to build micro-level understanding on knowledge, skills, competencies and abilities searched just now in business, industry and work. In other words, it build skills maps that can be used to e.g. i) predict changes in skills needs in general, ii) guide up-to-date curriculum development, iii) build individual career paths with micro-level-defined education/training suggestions and iv) provide AI-constructed training for these micro skills.

The micro-level skills maps are, in fact, knowledge graphs for adaptive learning as well as skill-level learning analytics. Based on this, we have developed a process how AI can construct a course curriculum, curate content from open resources, deliver it as adaptive learning, assess outcomes and finally give a grade. Because of no manpower is needed, our approach brings access to non-formal education and training that wouldn’t be possible without AI.

Our idea is to mimic the process how people would analyse labour markets, design curriculum, build courses, lecture and evaluate outcomes. In fact, people could do all these activities - if we just have millions of peoples to do all this.

Prof. Xavier Cartañá Alvaro
United International Business School, Spain

Prof. Xavier Cartañá Alvaro is a Chemical Graduate and Master in Commercial and Marketing Management. Since more than 30 years, he is involved in the Chemical Industry and at this moment he works for a very well-known Chemical Multinational Company as Global Key Account Manager. His career has led him to specialize increasingly in the commercial management of multicultural behaviors and their staffs at international levels.He also works as a teacher and consultant since more than 20 years, in many different Business Schools and also pays specific seminars and workshops worldwide in marketing and commercial and personal skills fields. At this moment, he is active as Industrial Marketing Specialist Teacher at EUNCET BUSINESS SCHOOL in Barcelona, and also belongs to the Faculty of UIBS (United International Business School).

Speech Title: Emotional Intelligence in Business
Abstract:
Emotions are an intrinsic part of our biological makeup, and use to influence strongly our behavior. The increasing work pressures, globalization and technological advancement have made business life an issue.

Emotional Intelligence is a set of qualities and competencies that captures a broad collection of individual skills and dispositions, that are outside the traditional areas of specific knowledge, general intelligence, and technical or professional skills.

Most people in organizations undervalue work emotions, like as trust, uncertainty, creativity, distance between colleagues, loyalty and commitment. These emotions need to be well known and managed. Emotional Intelligence is the conscious management of our own emotions. Its knowledge and practice can provide personal and interpersonal benefits.

Emotional Intelligence determines the potential for learning the practical skills that are based in emotional self-awareness, emotional expression, creativity, increase tolerance, increase trust and integrity, improve relations within and across the organization and thereby increase the performance of each employee and the organization as a whole. Emotional intelligence improves individual and organizational performance. It plays a significant role in the kind of work an employee produces, and the relationship he or she enjoys in the organization. 

This presentation targets the impact of emotional intelligence on performance of employees and the next objective is to know how to become an EI organization.

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Keynote Speakers at ICBIM 2017

Jin Wang is a Professor of Operations Research in the Department of Mathematics at Valdosta State University, USA. He received his Ph.D. degree from the School of Industrial Engineering at Purdue University in 1994. His research interests include Operations Research, Stochastic Modeling and Optimization, Supply Chain Management, Monte Carlo Simulation, Computational Finance, Portfolio Management, and Applied Probability and Statistics. Currently, he is working on Big Data and Data Mining fields. He has more than 28 years collegiate teaching experience in the field of quantitative methods and statistics at Purdue University, Florida State University, Auburn University, and Valdosta State University. Dr. Wang has been active in professional research activities. He has authored articles for publication in referred journals and conference proceedings. He has been active in INFORMS, IIE, and the Winter Simulation Conference and invited to give presentations, organize and chair sessions at national meetings. He has participated as a principal investigator in several research projects funded by federal and industrial agencies, including the National Science Foundation, General Motors, and the National Science Foundation of P.R. China. He was invited as a panel member at the National Science Foundation Workshop. Dr. Wang also served as a consultant for financial firms. His analytical Monte Carlo method using a multivariate mixture of normal distributions to simulate market data has made a great impact in education and the finance industry. This algorithm was selected as a graduate-level research project topic for many schools, such as, Columbia University Management Department, Carnegie Mellon University Economics and Finance Department, Tilburg University in Holland, Technische Universitaet Munich in Germany, Imperial College in London. This method was also implemented in many financial companies, such as, Zürcher Kantonal Bank, IRQ, Zürich Switzerland, Klosbachstrasse, Zürich, Switzerland, Norsk Regnesentral in Norway, Cutler Group, L.P., Altis Partners (Jersey) Limited, Windham Capital Management, LLC.

 

Yanqing Duan (BSc, MSc, PhD, SFHEA) is a professor of Information Systems. She is also the founder and director of Business and Information Systems (BISC) at the Business School, University of Bedfordshire. Her principal research interest is the use of the emerging Information and Communication Technologies (ICT) in organisations and their impact on decision making, innovation, and knowledge management. Her recent research has focused on how, why and to what extent Business Analytics is impacting on decision making, innovation, and organisational performance. She has co-ordinated many research projects funded by various funding sources, such as: European Commission, UK Department For International Development (DFID), JISC, British Council, etc. She has published over 180 peer reviewed articles, including papers in European Journal of Information Systems, IEEE transaction on Engineering Management, Information & Management, European Journal of Marketing, Journal of Business Research, The Information Society, Expert Systems with Applications, Information Technology & People.

General Info.

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Conference Secretary: Mr. Zeke Zhou
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