The information of ICBIS 2016 Keynote Speakers is as below:

Keynote Speaker I


Lili Yang
PhD Reader in Information Systems and Emergency Management School of Business & Economics Loughborough University, United Kingdom

Biography: Lili Yang is a reader in the School of Business & Economics at Loughborough University. She received her MSc (Loughborough) and PhD (Derby) in the UK, joining the school in September 2006 as a lecturer. Prior to this appointment, she worked in the Computer Science department at Loughborough University as a part-time lecturer (2004-2006), and in the Applied Computing department at the University of Derby as a lecturer/senior lecturer (2001-2004). She is a fellow of the British Computer Society (FBCS) and a Chartered IT Professional (CITP).
Lili has taught a variety of modules on computing and business at both postgraduate and undergraduate levels including Business Analysis for Decision Making, Quantative Methods for Business, Information Systems Development, Business Information Management, Business Modelling, From Networks to Internet, Programming, Data Communications etc. Currently she is the program director of MSc Business Analysis and Management. She has played the role as an external examiner for UG and PG teaching programs for a number of universities in the UK.
Lili has conducted a significant amount of research both independently and working in team. As the principal investigator she has led 12 projects and carried out 4 projects as co-investigator. The total budget has reached to over £3 million. She has published over 70 journal papers, conference papers and books. Recent publications appear in quality journals such as Information Systems Research, European Journal of Operational Research, Technological Forecasting and Social Changes, IEEE Transactions on Systems, Man, and Cybernetics (SMC), to be named.
(Official Web page: ).

Title of Speech: GDIA: Information requirements retrieving approach for emergency first responders

Abstract: To cope effectively with natural or man-made disasters and to avoid fatal catastrophes, it is essential to have appropriate information about the situation. Good information is vital for first responders. Although IT can provide vast amounts of data, the information requirements of emergency first responders in complex, dynamic, ad hoc and stressful environments are not well understood. Our proposed Goal Directed Information Analysis (GDIA) is a Cognitive Task Analysis (CTA) based tool to capture human centred requirements for better information systems design and development. It consists of seven clearly defined and repeatable steps that help the practitioner to extract information requirements. This cognitive tool starts with task analysis, which then leads to a simpler and more accurate analysis of the goal structure, before the rest of the hierarchy, including decisions and information requirements, is completed. It also involves two validation steps to ensure that a complete and accurate set of Goal-Decisions-Information (GDI) diagrams and the list of requirements are created. The meta methods for this tool will be explained. In this talk, an application case study is presented illustrating the use of this new tool in identifying the information requirements of four types of key fire fighters, in a UK Fire and Rescue Service, responding to a fire in a high risk building environment. The tool was administered by a single investigator without any prior knowledge of human factors. This work led to 310 validated GDI diagrams, and positive feedback from all levels of fire fighters indicated these diagrams successfully captured their information requirements.

Keynote Speaker II


Prof. Shuliang Li
PhD, Life Fellow of the British Computer Society, IEEE member
Reader in Business Information Management & Systems Westminster Business School
University of Westminster, United Kingdom
(Also Sichuan 100-Talent Scheme Visiting Professor at Southwest Jiaotong University, China)

Biography: Prof. Dr Shuliang Li is a Reader in Business Information Management at Westminster Business School, University of Westminster. He acted as BIM&O departmental Research Leader from January 2010 to July 2013.
Prof. Li is also Sichuan 100-Talent Scheme Visiting Professor in China for research collaboration purposes. He is a life Fellow of the British Computer Society (FBCS).
(Official Web page:

Title of Speech: Hybrid Intelligent Models and Systems for Problem Solving and Decision Making

  • Abstract: Due to fierce competition, growing overload of data and information, and high level of complexity and uncertainties, it is ever more challenging in this digital age for people, and managers in particular, to solve problems and make timely and sound business, management and engineering decisions. The needs for the applications of artificial intelligence and other methods, techniques and technologies in support of problem solving and decision making have never been greater. However, each of the support methods, techniques or technologies has its own weaknesses, and normally, can only be utilized to cope with and process one aspect of the complex multi-facet properties of real-world problems. Therefore, hybrid intelligent models and systems that integrate the strengths and powers of diverse techniques and technologies should be created, developed and used as effective solutions. In this report, we will focus on hybrid frameworks, paradigms and systems that deal with different types of problems, and will cover the following research topics:
    ◊--Context-aware intelligent project knowledge recommendation framework and system (Jin Xu & Shuliang Li)
    ◊--A framework for extracting and representing project knowledge contexts using topic models and dynamic knowledge maps: a big data perspective (Jin Xu, Zheng Li, Yanyan Zhang & Shuliang Li)
    ◊--Linking social media with open innovation: an intelligent model (Shuliang Li)
    ◊--The innovation network as a complex adaptive system: flexible multi-agent based modeling, simulation and evolutionary decision making (Qingqi Long & Shuliang Li)
    ◊--A multi-agent-based evolution model of innovation networks in dynamic environments (Qingqi Long & Shuliang Li)
    ◊--A framework and software prototype for modelling and simulation for deshopping (unethical return) behaviour and how companies respond (Shawkat Rahman & Shuliang Li)
    ◊--AgentsInternational: integration of multiple agents, simulation, knowledge bases and fuzzy logic for international marketing decision making (Shuliang Li & Jim Zheng Li)
    ◊--A Web-based hybrid intelligent system for combined conventional, digital, mobile and social media marketing strategy formulation (Shuliang Li & Jim Zheng Li)
    ◊--A hybrid intelligent model for Web & social media dynamics, and evolutionary and adaptive branding (Shuliang Li)
    ◊--A hybrid paradigm for modelling, simulation and analysis of brand virality in social media (Shuliang Li & Jim Zheng Li)
    ◊--The future of artificial intelligence applications
    ◊--Modelling and computer simulation for low carbon & emission reduction management (Yin Zeng, Nanfeng Liu, Shuliang Li & Lili Fan)

Plenary Speaker

Prof. Alan Eardley

Staffordshire University, United Kingdom 

Biography: Professor W. Alan Eardley was born in Stoke-on-Trent, England in 1949. Through part-time study as a mature student, he obtained a B.A. in Business Studies with first class honours in 1984 and a Master’s Degree in Computer Science from Aston University in the U.K. in 1989. His PhD, in Strategic Information Systems from Southampton University in the U.K., supervised by Professor David Avison, was awarded in 2001. Alan is Professor of Enterprise Computing in the School of Computing at Staffordshire University in the U.K. and is an Adjunct Professor at Asia Pacific University of Technology and Innovation in Kuala Lumpur. Professor Eardley researches, publishes and supervises PhD students in knowledge management and IT strategy and teaches research methods. He is a long-standing Member of the British Computer Society and is a Chartered IT professional.  

Title of Speech: Implementing knowledge management systems in service-based small to medium enterprises – lessons from South East Asia for the World 

Abstract: A collaborative survey between Asia Pacific University of Technology in Malaysia and Staffordshire University in the U.K.* in 2011 explored the critical success factors (CSFs) that apply when implementing knowledge management (KM) systems in service-based small to medium sized enterprises (SMEs) in Southeast Asian (ASEAN) countries. The survey employed an empirical approach to determine the level of importance of seven identified KM success factors. The survey data was obtained from a study of 57 SMEs in technology parks and ‘technopreneur centres’ in Malaysia, and experts from five other ASEAN countries, using a structured questionnaire comprising 40 elements developed from a literature review in the area. The CSFs with their elements were extracted through a statistical analysis of the results and their mean level of importance was determined. The results showed that that as a result of globalization in the SE Asia region and the rapid development of ASEAN countries towards ‘technologic nation’ status, SMEs face many challenges when seeking to compete in a modern economy, which has shifted from being a production economy to a knowledge economy. The survey showed that the service-based SME sector (now a sizable business sector in the ASEAN region) needs to pay more attention to KM, which is rapidly becoming integral to gaining and sustaining a competitive edge. This result has implications for the SE Asian service-based SMEs in formulating and implementing KM strategy and policy. The study of KM in such fast-developing countries brings useful insight into the discipline of KM in other countries of the ASEAN region. The lessons learned from this study add to previous research and can help service-based SMEs in many areas to understand more fully the discipline of KM, to facilitate its adoption and to prioritize its implementation in countries across the SE Asian region and the World.

Elaheh Mohammadi, Bridget Merliza Department of Technology Management, University College of Technology & Innovation, Technology Park Malaysia, Bukit Jalil, 57000 Kuala Lumpur, Malaysia.

Alan Eardley School of Computing, Faculty of Computing, Engineering and Sciences, Staffordshire University, Stafford, ST18 0AD, United Kingdom.  




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