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Decisions and Analytics Research Interest Group

Decisions & Analytics Research Interest Group (DA-RIG) is established to create a collaborative platform bringing together national / international academics, postgraduate researchers and industry practitioners to conduct trans-disciplinary research on behavioural science, judgement & decision making, decision analysis, marketing & consumer decisions, decision support & expert systems, risk perception & risk communication, quantitative and judgemental forecasting, behavioural operational research / operations management and business analytics. In so doing, DA-RIG aims to generate and disseminate leading work on multi-faceted aspects of decisions and analytics with a view towards enhancing Newcastle Business School’s reputation as a prominent research institution. At the same time, the group targets proactive engagement with the global and local communities and organizations to cascade its knowledge exchange activities towards creating a strong practical and societal impact.  DA-RIG enjoys a strong network of  international research partners, including  University of Graz (Austria), Ghent University (Belgium), Nanchang University (China), Southwest University of Telecommunication (China), Chongqing University (China),  Chongqing University of Technology (China),  Chongqing Jiaotong University (China), Aalen University (Germany),  Autonomous University of the State of Hidalgo - UAEH (Mexico), University of Moratuwa (Sri Lanka), Bilkent University (Turkey) and Sabanci University (Turkey).

DA-RIG holds research meetings with group members and colleagues across the Faculty of Business and Law, and welcomes all interested academics/practitioners wishing to contribute to our joint dynamism and collaborative work. There is also a DA-RIG Seminar Series to effectively disseminate our work as well as to invite leading researchers and journal editors / associate editors.  DA-RIG is also working on establishing a Behavioural Science Laboratory, which will not only facilitate experimental/behavioural work across many disciplines but will also serve as a centre for impactful engagement with practitioners while contributing to active learning and enhanced student experience.

If you are a prospective PhD / postgraduate student who is interested in doing your research within DA-RIG, please visit the following link for more information on Northumbria research degrees:


Main contact: Prof. Dilek Onkal


Telephone: 0191 227 4792


Mahmoud Abdelrahman - LinkedIn

Research Areas: Knowledge Management Systems, Knowledge Sharing, Decision Support Systems, Business Intelligence


Wasim Ahmed - LinkedIn

Research Areas: Digital Business, Digital Humanities, Social Media Analytics, Social Network Analysis


Xuemei Bian - LinkedIn

Research Areas: Consumer Decision-making Strategy, Effective Branding, Advertising, and Services Marketing 


Jane Brown - LinkedIn

Research Areas: Consumer Financial Decision-making, Consumer Culture Theory, Consumer Consumption, Qualitative Methodology


Tommy Chan - LinkedIn 

Research Areas: Societal and Organisation Impacts of Information Technology Use; Online Consumer Behaviors


Josephine Chong - LinkedIn

Research Areas: Collaborative networks, Governance, Green IT, Ecosystems.


Charles Cui - LinkedIn

Research Areas: International Marketing, Branding and Consumer Research. Recent research focuses on addictive consumption (e.g. Brand Addiction), Ethnic Consumers’ Social Inclusion and Socially Inclusive Marketing, Marketing Complexities of New-tech Products (e.g. Wearables), Consumer Values and Interaction with Social Media. 


Liz Cunningham - LinkedIn

Research Areas: Data Management and Analysis skills and employability


Arijit De - LinkedIn

Research Areas: Sustainable Supply Chain Management, Maritime Transportation, Shipping Operations, Bunker Fuel Management and Operations Management


Eleni Dermentzi - LinkedIn

Research Areas: Digital Business, Adoption of IT, E-Learning, Serious Games, E-Government, Learning Analytics, Online Public Engagement, Social Media Usage


Carly Foster - LinkedIn

Research Areas: Analytics; higher education; data design


Mostafa MohamadLinkedIn

Research Areas: Digital Innovation, Information Systems Development, FinTech & Blockchain, Automotive Innovation, Industry 4.0, Big Data Analytics, Digital Project Management, Digital Supply Chain


M. Sinan Gonul - LinkedIn

Research Areas: Judgemental Forecasting, Judgement and Managerial Decision Making, Behavioural Operational Research/Operations Management, Decision/Forecasting Support Systems


Philip Oliver - LinkedIn

Research Areas: Business Intelligence & Analytics - Employability Skills, Education and Technology


Dilek Onkal (Convenor) - LinkedIn

Research Areas: Behavioural Science, Judgment and Decision Making, Judgmental/Behavioral Forecasting, Decision/Forecast Support Systems, Risk Perception and Risk Communication


Yi Qu - LinkedIn

Research Areas: Mathematical modelling, optimisation and business analysis of a variety of problems in transportation, supply chain management, healthcare and scheduling


Marco PhilippLinkedIn

Research Areas: Predictive Content, the role of AI-driven technologies (e.g. Machine Learning) in Media-Information processes, the impact of AI on organizational structures


Marc Reimann - LinkedIn

Research Areas: Sustainable Operations, Closed-loop Supply Chains, Sustainable City Logistics


Alireza Shokri - LinkedIn

Research Areas: Quality Management, Lean Six Sigma, lean Management, Supply Chain Quality Management, Supply Chain Improvement, Operations and process efficiency and sustainability, Operations Management


Dimitra Skoumpopoulou - LinkedIn

Research Areas: Information Systems Management, Integrated Information Systems Implementation and their impact, Information Systems in the HE sector, Adoption, Acceptance and Diffusion of Technologies, Maximising Graduate Employability, Project management, Talent Management


Mary Thomson - LinkedIn

Research Areas: Judgemental Forecasting, Judgement and Managerial Decision Making, Risk Perception and Risk Communication, Decision Support Systems, Nudging


Leslie Tickner - LinkedIn

Research Areas: Data Analytics, Decision Making, Statistical Analysis, Educational Data Mining and Predictable Irrationality


Yu Xiong - LinkedIn

Research Areas: Supply Chain Management, Innovation Management, Operations Management

Research Seminars

4 March 2020 Prof. Nuran Acur University of Glasgow
12 February 2020

Dr. Linh N K Duong

University of Lincoln
27 November 2019  Dr. Thais Webber University of St Andrews
23 October 2019

Prof. Russell Barton

Penn State University 

26 June 2019 Prof. Savvas Papagiannidis Newcastle University 
24 June 2019 Dr. Shari De Baets Ghent University
5 June 2019 Dr. Colin Richardson Northumbrian Water
22 May 2019 Prof. George Wright University of Strathclyde
08 May 2019 Prof. Marc Reimann University of Graz, Northumbria University
01 May 2019 Dr. Alireza Shokri and Prof. Dilek Onkal Northumbria University
20 March 2019 Prof. Emel Aktas Cranfield University
27 February 2019 Prof. Renata Walczak Warsaw University of Technology
21 November 2018 Dr. Wasim Ahmed Newcastle University



21 November 2018

Maximising social media for scientific communication and strategies for increasing visibility, tracking, and increasing citations using specialist tools

Dr. Wasim Ahmed
Newcastle University

This talk focuses on the benefits of engaging with social media and relatively new forms of scholarly communication. It will provide an overview of developing an effective Twitter profile for scientific communication and discuss the benefits of other social media platforms. The talk will them outline methods to increase visibility, track and increase citations and will also outline specialist tools such as 'Publish or Perish' , Google Scholar, ResearchGate,



27 February 2019

Opportunity management in projects

Prof. Renata Walczak
Warsaw University of Technology

Risk management is a standard practice in organisations and projects. While taking up any project everybody asks what risks are related to it. There are countless risk management methodologies with myriads of procedures, rules and regulations that help to fight with risk understood as an event that has a negative outcome for the project. Even though risk is defined as a “an uncertain event or condition that if it occurs, has a positive or negative effect on at least one project objective, such as time, costs, scope or quality.” (PMBOK; Project Management Institute, 2013), based on research, entrepreneurs rarely think about opportunities. 90% of effort is directed to recognise and inspect events that may harm the project.

Opportunities are discussed before project starts, during the strategic, pre-project phase while defining project mandate document. When the contract is ready, project board accepts the project plan, making changes is difficult, even though a big opportunity arises.

The aim of Renata Walczak’s research is to find out:

1. Whether enterprises are more concerned about risks understood in the negative sense than about opportunities.

2. What does it mean: „opportunities” in projects. What do the opportunities refer to?

3. Who and when should indicate opportunities. Who takes credit of it?

4. What activities enable opportunity management? How to identify and manage opportunities in projects?

5. How big opportunity should be to change the initial, optimal and agreed upon project solution?

Renata Walczak will present the findings of research undertaken as part of the GETM3 project which is conducted in Poland and in the UK.



20 March 2019

Creating an Impactful Research Framework: from Preparing Research Bids to Writing, Reviewing, and Editing Research Papers

Prof. Emel Aktas
Cranfield University

The research business is painstaking. We dedicate immeasurable efforts to design and deliver impactful research whilst the pressure to produce higher quality and higher number of research outputs is increasing. Under these conflicting objectives we need dramatical improvements in our research efficiency to keep up with the times. This talk is designed as an interactive session where the presenter will share her experiences in preparing research bids and invite the audience to comment on different strategies for surviving and thriving in the increasingly competitive academic environment. We will address aspects of research such as initiating or contributing to transformation in society, engaging with different communities of knowledge, and co-creation of research outputs with immediate stakeholders and other scientists in the field. Finally, we will focus on dissemination and outreach, integral parts of an impactful research framework through writing, reviewing, and editing research papers.


01 May 2019


Celebrating Failures and Pathways to Research Success

Dr Alireza Shokri and Prof. Dilek Onkal
Northumbria University

The topic of this workshop is “Celebrating Failures and Pathways to Research Success” and it is jointly hosted by Decisions & Analytics and Global Operations and Supply Chain Competitiveness (GLOPSCO) RIGs. The format will be a panel discussion where colleagues will share their failures in relation to research publications and grant applications so that we can all learn from our colleagues’ lessons and experiences to enable a supportive platform for enhanced success towards REF 2021 and beyond. We intend to encourage colleagues to share their experiences of rejection (and not success this time) of their journal paper submissions and/or grant applications with discussions in smaller teams, followed by a panel session outlining the critical lessons to be shared anonymously. We believe this session will provide a supportive learning experience for all colleagues including those with significant research track records as well as colleagues who are at the beginning of their academic journeys.



08 May 2019

Proprietary Parts as a Secondary Market Strategy

Prof. Marc Reimann
University of Graz, Northumbria University

Introducing proprietary parts to gain a competitive edge is a well-known, yet poorly understood strategy OEMs adopt. In this paper, we consider an OEM who sells new products and competes with an independent remanufacturer (IR) selling remanufactured products. The OEM contem- plates proprietary parts to manage the secondary market for remanufactured products. Thereby, the OEM designs its product to balance the trade-off between the cost of proprietariness and the extra income from selling the proprietary spare parts to the IR. Deterring market entry by the IR through prohibitively pricing the proprietary spare parts, an OEM strategy observed in several industries, is only optimal when the willingness-to-pay for remanufactured products is low. Otherwise, the OEM benefits more from sharing the secondary market profits with the IR through the use of proprietary parts. Finally, we find that the OEM can also use proprietary parts to strategically deter entry by the IR and discouraging her to collect the cores. This can support the OEM’s decisions to engage in remanufacturing even in the case of a collection cost disadvantage. While the introduction of proprietary parts is detrimental to both IRs and consumers, we show that OEM remanufacturing softens this loss for the consumers. Additionaly, I will also talk a little about the submission, refereeing and revision process of such a paper.



22 May 2019

Publishing your research: an editor's perspective

The pros and cons of alternative ways of making decisions in the face of uncertainty about the future

Prof. George Wright
University of Strathclyde

The first part of Prof. Wright's talk will encourage a discussion on the "gamesmanship" of getting papers published and on how to supervise PhD students with the aim of achieving publications during the apprenticeship process. Given time allows, the second part of his talk will provide an introduction to different ways of making decision in the face of uncertainty about the future and will encourage discussion on this important topic.


5 June 2019


Knowledge across boundaries

Dr Colin Richardson FBCS CITP
Northumbrian Water

One of the most challenging elements within industry today is the ever growing need for knowledge sharing across different organisations. The ability to share a common understanding can be difficult, time consuming and costly.  Often this leads to a lot of projects failing to deliver desired outcomes or failing completely. Colin will share his experiences and challenges to overcome issues in these areas and also perceptions of the environment as a whole.  He will also discuss impacts arising both technical and political which influence the hunger for evolutionary growth in the knowledge management environment.



24 June 2019


Are people able to distinguish good forecasting models from bad forecasting models?

Dr. Shari De Baets
Ghent University

Judgmental forecasting is pervasive in business practice (Fildes & Goodwin, 2007), with the most recent number indicating a combination approach of judgment and statistics of 55% and rising (Fildes & Petropoulos, 2015). Forecasting support systems allow the user to apply many different types of forecasting methods to the data series. However, no approach is universally superior to all others. Forecasting competitions have shown that which approach is best depends on the characteristics of the data series (e.g. Makridakis & Hibon, 2000). Thus the forecaster has to decide which approach to use. But can people truly assess forecasting quality? In two experiments (N1 = 191, N2 = 161), we investigate (1) whether people are able to distinguish a ‘good’ from a ‘bad’ forecast, (2) whether this model selection outperforms the average, and (3) whether the quality of their model affects the participant’s subsequent forecasting behavior.



26 June 2019


Submitting and reviewing articles for Technological Forecasting and Social Change journal

Prof. Savvas Papagiannidis
Newcastle University 

TFSC (3* ABS2018, IF: 3.129) is a major forum for those wishing to deal directly with the methodology and practice of technological forecasting and future studies as planning tools as they interrelate social, environmental and technological factors. The event will focus on the experience of Prof. Papagiannidis as an Associate Editor for Technological Forecasting and Social Change. The audience will have the opportunity to ask questions about the submission and reviewing process of the journal. 



23 October 2019


Metamodel-based Forecast of Lead Time Quantiles

Prof. Russell Barton
Smeal College of Business, Penn State University

Prof. Marc Reimann

Real-time control has become increasingly difficult as manufacturing systems and their models become more complex in terms of job variety, machine flexibility and machine reliability. We consider a control policy to be a set of rules governing when jobs are released to the manufacturing floor (and perhaps to which machine in a flexible system). The objective of a control policy is to maximize efficiency (machine utilization) while meeting job demand times. A critical quantity in this planning is the quantile (say the 90% quantile) of forecast completion time for a job released to the system in its current state. We propose an analysis method, based on offline simulation of a fraction of all possible states, that fits a metamodel to predict the state-based lead time quantile. The rapid calculation enabled by the metamodel allows real-time support of a dynamic strategy for job release. Our approach builds on related work in quantile metamodeling, design of simulation experiments, and simulation in production planning. (This work is joint with Giulia Pedrielli.)
Note: Following the talk there will be opportunity for networking and further informal discussion.

27 November 2019 


The role of BPMN models and simulation for healthcare resource planning

Dr. Thais Webber
University of St Andrews

There is an unquestionable need to improve healthcare processes across all levels of care in order to optimise the use of resources whilst guaranteeing high quality care to patients. However, healthcare processes are generally very complex and have to be fully understood before enhancement suggestions can be made. Modelling with widely used notation such as BPMN (Business Process Modelling and Notation) can help gain a shared understanding of a process, but is not sufficient to understand the needs and demands of resources. Simulation can be used for both strategic and operational decision making in healthcare organizations. Thais will share her experiences acquired in a recent joint research project between Brazil and Scotland. An approach to enrich BPMN models with structured annotations is proposed to enhance performance analysis and resource allocation in the organization. The case study was an A&E department of a sizeable hospital in the South of Brazil.



12 February 2020


Supply chain collaboration in the presence of disruptions

Dr. Linh N K Duong
University of Lincoln

The supply chain collaboration has gained significant attention, especially in the presence of disruptions. This study presents findings from a systematic literature review to answer the question: how collaborations help supply chains respond and recover from a disruption. A total of 157 papers from the year 2000 were studied. The thematic and descriptive analysis identified usefulness, used research methodologies, collaboration mechanisms, and influential factors in collaboration. This comprehensive review provides in-depth insights into the current state of literature, proposes a research framework, and identifies several future research directions. It also highlights the role of each collaboration mechanism based on each severity level of disruptions.



4 March 2020


Innovation Ecosystem in Digital Age

Prof. Nuran Acur
University of Glasgow

Innovation ecosystems have become a vital topic in strategy and innovation management in digital age. Navigating such ecosystems requires ecosystem strategies that focus on interdependencies, complementarities and value co-creation. Innovation ecosystems rarely emerge fully formed, and ecosystem strategies need to take ecosystem dynamics into account. However, prior research is relatively silent on the implications of ecosystem dynamics for ecosystem strategy. The innovation ecosystem is defined as a product/service system, historically self-organized or managerially designed multilayer social network consisting of actors that have different attributes, decision principles, and beliefs. (Tsuijimoto et al, 2018). This research will contribute to knowledge by providing empirical evidence of the relationships formed between the actors in the ecosystem and their influence on its success or failure. I will present primarily results from my two ongoing projects: DARWIN- Connected Autonomous Vehicle, Technology Policy & Business Model and TANDEM-Interactive Health Ecosystem in Indonesia. It provides major opportunities and challenges for collaborative digital innovation researchers to explore fundamentals of open digital ecosystems through which novel solutions can be implemented.

University of Glasgow
University of Glasgow

International Research Partners Network

Shari De Baets - Ghent University, Belgium

Can Eksoz - Muscat University,Oman

Itir Göğüş - Bilkent University, Turkey

Ayşe Kocabıyıkoğlu - Sabancı University, Turkey

Evangelina Lezama León - Autonomous University of the State of Hidalgo - UAEH, Mexico

Xi Liang - Chongqing Jiaotong University, China

Niles Perera - University of Moratuwa, Sri Lanka

Robert Reig - Aalen University, Germany

Marc Reimann - University of Graz, Austria

Xi Wan - Chongqing University of Technology, China

Zhongkai Xiong - Chongqing University, China

Wei Yan - Southwest University of Telecommunication, China

Pan Zhang - Nanchang University, China

Yu Zhou - Chongqing University, China















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