TUTORIAL SESSIONS

EDSI 2019 will feature tutorial sessions on important contemporary research topics, including: 

Complex Networks Analysis with R/Python – An Introduction (Dr Guven Demirel, guven.demirel@essex.ac.uk)

Abstract: In this tutorial, we will provide a brief introduction to complex networks analysis and learn how to use the programming language Python to create, visualise, and analyse networks. We will show how to compute and visualise network constructs and metrics such as node centrality and communities. No prior knowledge of Python or complex networks theory is required. We illustrate the application of Python network analysis packages on real supply network data.

Biography: Dr Güven Demirel is Lecturer in Supply Chain Management at the School of Business and Management, Queen Mary University of London. He holds a PhD in Physics from the Technical University of Dresden, Germany. He previously worked at Essex Business School and was a Research Fellow at Nottingham University Business School and Max Planck Institute for the Physics of Complex Systems. He conducts interdisciplinary research on complex dynamical systems with applications to social networks and supply networks. He is the author of research articles in prestigious journals, including Science and European Journal of Operational Research. 

Bayesian Methods and Knowledge Elicitation – An Introduction (Professor John Quigley, j.quigley@strath.ac.uk

Abstract: Expert subjective probabilities plays a fundamental role in Bayesian methods.  A sound process for elicitation of such judgment is necessary for improving the quality of data to inform the decision making through such methods.  In this tutorial, we provide a summary of the fundamentals of Bayesian methods for decision making and a discussion of desirable characteristics of elicitation processes drawn from a variety of studies. 

Biography: Professor John Quigley is an Industrial Statistician with expertise in developing and applying statistical and stochastic methods to build decision support models. In particular, he has extensive experience in developing models for reliability growth analysis. For example, with his colleague Professor Walls, they were actively leading activities in the DTI/aerospace industry funded project, Reliability Enhancement Methodology and Modelling (REMM) which was awarded the Simms Prize by the Royal Aeronautical Society. He has been involved in consultancy and applied research projects for reliability growth with, for example, Aero-Engine Controls, Rolls Royce, Irving Aerospace, BAE SYSTEMS and the MOD. The model developed as part of the REMM project is included in the industry standard for reliability growth analysis methods, BS/IEC 61164 as well as contributing to the Strathclyde Business Schools impact cases for the Research Enhancement Framework.

Conducting Rigorous Survey-based Research (Professor Antony Paulraj, Antony.Paulraj@nottingham.edu.cn

Abstract: Survey research is one of the fundamental research methodologies adopted by scholars within different research areas of decision sciences. To ensure that data collected through surveys result in solid publications in leading journals, it is important that we execute the various key aspects such as literature grounding, respondent selection, biases, and data collection in a rigorous fashion. Against this backdrop, this tutorial session will focus on showcasing the strategies and actions that researchers need to take so as to design and execute rigorous survey research.

Biography: Professor Antony Paulraj holds the Li Dak Sum Chair Professorship in Information Systems and Operations Management at the University of Nottingham Ningbo China. His current research interests are in the areas of sustainability, supply chain management, strategic supply management, supply chain innovation, and inter-organizational systems. His research articles have appeared in many leading international journals including the International Journal of Operations and Production Management, Journal of Business Ethics, Journal of Business Logistics, Journal of Operations Management, Journal of Supply Chain Management, among others. Antony has won many best paper awards from international journals as well as conferences. His publications have also had significant impact on research within supply chain management.

Digital Methods and Technologies for Interdisciplinary Research – An Introduction (Dr Stuart Moran, stuart.moran@nottingham.ac.uk)

Abstract: In this tutorial we will explore a range of different digital tools and mixed methods for different disciplines through example projects and demonstrations. These will cover innovative ways for creating, capturing, processing, visualising and sharing research data. There will be a range of tools including off-the-shelf, custom built and open source.

Biography: Dr Stuart Moran started his career with a BSc in Computer Engineering and a PhD in Pervasive Informatics. Following his studies, he went on to work as a Research Fellow at three institutions, including: University of Reading (Social Informatics), University of Kyoto (Social Robotics) and the University of Nottingham (Human Computer Interaction). Looking for a new challenge, he then dived head first into the financial services industry, joining TDX Group as a Business Analyst. Stuart’s current role as a Digital Research Team Leader brings together the best parts of his industry and academic experience.

Experimental Research in Management – An Introduction (Sirio Lonati, sirio.lonati@unil.ch

Abstract: Experimental method represents the gold standard for testing causal hypotheses in the social sciences. However, several validity threats can invalidate the conclusions drawn from experimental results. In this tutorial, we will briefly review some of these problems and illustrate potential solutions using examples inspired from the literature, as well as simulated data. Specifically, we will focus on the main internal validity threats (e.g., unfair comparisons, non-consequential decision environments) and on several statistical validity issues (e.g., estimating variance correctly, imperfect compliance into treatment). 

Biography: Sirio Lonati is a doctoral student in Management in the Department of Organizational Behavior at the University of Lausanne. Sirio is interested in research methods. He conducts multidisciplinary research on leadership, relying primarily on behavioral experiments and econometric analysis of observational data. His work on experimental methodology has been recently published in the Journal of Operations Management.

Early bird registration Until April 12th, 2019