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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 Ghent University (Belgium), 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:

www.northumbria.ac.uk/research/postgraduate-research-degrees

 

Convenors:

Dr. M. Sinan Gonul

Email: sinan.gonul@northumbria.ac.uk

Dr .Nur Cavdaroglu

Email: nur.cavdaroglu@northumbria.ac.uk

 

 

 



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

 

Chrysostomos ApostolidisLinkedIn

Research Areas: Digital Marketing, B2B and B2C Buyer Decision Making, Decision Support Systems, Customer Journey Mapping

 

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

  

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

 

M. Sinan Gonul (Co-Convenor) - LinkedIn

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

 

Dongjun Li - LinkedIn

Research Areas: Mathematical Modelling, Operations Research, Decision Making, Supply Chain Optimisation

 

Mostafa Mohamad - LinkedIn

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

 

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

 

Jaishree PrasadLinkedIn

Research Areas: Consumer behaviour, marketing

 

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

 

Serena SalviLinkedIn

Research Areas: Mental health, aging, behavioural science, behavioural nudges

 

Mahmood Shah - LinkedIn

Research Areas: Information Systems, cyber security, knowledge management, e-learning, smart technologies management

 

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

 

Adrian SmallLinkedIn

Research Areas: Operations Management; Process Improvement; Continuous Improvement; Lean; Problem Structuring Methods; Performance Management; Performance Measurement

 

Jing Tang - LinkedIn

Research Areas: Artificial Intelligence, Machine Learning, Data Analytics, Decision Making, Business Intelligence, Optimization and Heuristic Algorithms, Social Networks Analysis and Recommender Systems

 

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

 

Lizette VorsterLinkedIn

Research Areas: Diversity-sensitive marketing; responsible marketing; intercultural marketing; consumer psychology; consumer behaviour; marketplace well-being and emerging markets

 

Jianqin ZhaoLinkedIn

Research Areas: Examining the impact of social media on undergraduate students mental well-being and resilience

     
31 March 2022 Dr. Konstantina Spanaki Audencia Business School 
18 November 2021 Dr. Ayse Kocabiyikoglu Sabanci University

17 November 2021

Prof. Marc Reimann

University of Graz, Northumbria University

26 May 2021

Dr. Mahmood Shah

Northumbria University

28 April 2021

Prof. Paul Goodwin University of Bath
17 March 2021 Asam Salim ATOS
24 February 2021 Prof. Jason Thatcher Temple University

10 February 2021 

Dr Femi Olan

Northumbria University
3 February 2021  Dr Femi Olan and Dr. Mahmood Shah Northumbria University
16 December 2020 Dr. Jennifer Murray Edinburgh Napier University
18 November 2020

Dr. Megan Crawford

Edinburgh Napier University
9 October 2020

Prof. Michael Bourlakis

Cranfield University

23 September 2020

Dr. Curt Friedel

 Virginia Tech
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

 

31 March 2022

AI and Data Sharing in Contextual Environments: Characteristics, Challenges and Access Control

Dr. Konstantina Spanaki
Audencia Business School 

The applications of AI, data analytics and intelligent processes pose multiple challenges and managerial implications. The vast range of challenges could span from difficulties in using and adopting these applications, identifying the required skills and capabilities for the employees, to a wide variety of productivity and performance problems. There are multiple opportunities but also respective challenges for the supported supply management tasks; therefore, the research should support the operations by promoting AI approaches for smart and intelligent operations in multiple industrial sectors while predicting weaknesses and risks.

There is emerging anecdotal evidence that AI and data analytics for manufacturing and production can fundamentally reshape the existing operational practices and tasks. However, scaling up AI usage could have some significant bottlenecks, such as misuse of AI algorithms, privacy breaches and data accessibility. Like other technological developments, the use of AI just like other technological developments, comes with its own challenges and risks that can lead it to being misused, leading to user distrust, and raising ethical concerns. The discussion, hence, aims to promote the research around the area of AI and data sharing in contextual environments and the associated implications and applications.

 

 

18 November 2021

How Does Workload Affect Test Ordering Behavior of Physicians? An Empirical Investigation

Dr. Ayse Kocabiyioglu
Sabanci University

We study the relationship between workload and the test ordering behavior of physicians, in an operational context where the service episode is completed when a test order is given. We define workload in two forms: the unfinished workload, that is, the number of patients waiting to be examined, and the finished workload, that is, the cumulative number of patients examined before a given patient in a workday. We investigate their effect on the probability of a test order, and the number of tests ordered for a patient that receives a test order. Empirical analysis of data from a public research and training hospital shows that these workload measures have different effects: a higher unfinished workload increases the probability of giving a test order, while a higher finished load decreases the number of tests ordered for those patients who receive a test order. The observed effects of the operational factors workload and finished load, which have no relation to the patients’ complaint and hence, should have no bearing on the eventual diagnosis, have significant implications for the quality and cost of health care. We also report the results of several robustness tests which confirm our results.

 

 

17 November 2021

Sell through your rival: the impact of TPR regulation on the closed-loop supply chain design -- The rocky road from first submission to final acceptance - PART 1

Prof. Marc Reimann
University of Graz, Northumbria University

In this series of (two) seminars I will talk about the entire submission and reviewing process of a paper until its final acceptance. In the first session I will present the original spin of the paper together with the reviewer comments that led to the first rejection at POM, one of our top field journals. In the second session, I will talk about our response to this rejection, as well as the further reviewing process.

 

 

26 May 2021

Packaging a paper for publishing success: An editor's perspective

Dr. Mahmood Shah
Northumbria University

This is the third part of the talk that will focus on what the key ingredients of an ABS3*/4* journal paper are and how editors make decisions about papers. It will include some tips on how to prepare papers for good journals and how to avoid some common mistakes in preparing and positioning.

 

 

28 April 2021

MINIMOD: A simple and effective method for supporting multiattribute decision making?

Prof. Paul Goodwin
University of Bath

Making decisions where there are a large number of attributes can be challenging because of the need to make trade-offs between the attributes. Several methods have been developed to support decision makers facing such decisions. These include those based on multiattribute utility theory, the Simple Multiattibute Rating Technique, (SMART) and Even-Swaps. However, these methods, themselves, often involve difficult judgments which, as a consequence, can be unreliable. The strategy of heroic approximation posits that that the inaccuracies associated with a simple approximate model of a decision problem are likely to be outweighed by the more reliable judgments that result from the simpler questions posed to the decision maker. In this spirit, a very simple method, MINIMOD (minimal modelling), is proposed for supporting decision makers. The method was tested on 250,000 simulated decision problems and was found to perform well when assessed based on its hit rate (the percentage of times it identified the same best option as SMART) and the utility loss resulting from the approximation.

 

 

17 March 2021

How to embed Business Analytics in a Data Driven Organisation

Asam Salim
ATOS

This presentation today is on how to embed Business Analytics in a Data Driven Organization. This talk will focus on the key areas of implementation that shouldn’t be overlooked and the pitfalls to avoid, to help accelerate business value back to the organisation.

 

24 February 2021

Seven Habits of Highly Effective Writers: Developing Competencies for High Impact Publication

Prof. Jason Thatcher
Temple University

In his webinar, Prof. Jason Thatcher will outline habits and best practices for crafting a high impact research career. He will provide tips and tricks that have powered his collaboration with co-authors on three continents.

 

10 February 2021

Meet our Editors – An Editorial Perspective on Journal Publications Part 2

Dr Femi Olan
Northumbria University

This is the second part of the talk that will focus on what are the key ingredients of an ABS3*/4* journal paper and how editors make decisions about papers. It will include some tips on how to prepare papers for good journals and how to avoid some common mistakes in preparing and positioning.

 

3 February 2021

Meet our Editors – An Editorial Perspective on Journal Publications

Dr Femi Olan and Dr. Mahmood Shah
Northumbria University

This talk will focus on what are the key ingredients of an ABS3*/4* journal paper and how editors make decisions about papers. It will include some tips on how to prepare papers for good journals and how to avoid some common mistakes in preparing and positioning.

 

16 December 2020

Decision making in suicide risk assessment: Current approaches, subjective understandings, and person centeredness

Dr. Jennifer Murray
Edinburgh Napier University

While suicide risk assessment has been highlighted as one of the most important features of managing patients presenting with suicidal intent (Simon, 2011) and should be a key competency for any individual working with psychiatric patients (Scheiber et al., 2003), risk is not adequately assessed in approximately 60% of successfully completed inpatient suicides (Burgess et al., 2000).  No standardised guidelines exist in the assessment and management of patients at risk of suicide. To understand clinician’s subjective experiences of working with people at risk of suicide and how this influences their decisions, a different approach is therefore required. One such approach is through exploring aspects of ‘soft intelligence’ within clinical practice (Martin et al., 2015) such as person centred care (Marijke, 2012). Through a series of studies, this programme of research investigated what information clinicians use when assessing suicide risk, whether they use heuristic or rational decision making, and their subjective perceptions of person centred care when managing patients at risk of suicide. The approaches used included a quasi-experimental eye-tracking study, one-to-one qualitative interviews, and a follow-on Q-Methods study. The outcomes of these studies and their practical implications will be discussed.

 

18 November 2020

The Value of Mass Produced COVID-19 Scenarios

Dr. Megan Crawford
Edinburgh Napier University

From January to June 2020, hundreds of singly focused scenarios were generated across the world, from a variety of sources, that reflect on a variety of future industries. The motivation behind these scenarios was to better inform governments and organisations on their fast-paced strategic developments through the pandemic. We collected just over 130 open-sourced and in-house COVID-19 scenarios to evaluate their value to the clients and industries they were meant to serve. We build from Cairns & Wright’s (2020) reflection on the quick accumulation of scenarios generated in response to the COVID-19 pandemic and their three assumption: scenarios are largely artefacts reflecting the realities of the time, scenarios take a simplistic, global perspective, and the mode of delivery is to a general audience. To measure the three assumptions against our scenario repository, we employ eight dimensions of the Comprehensive Scenario Intervention (CSI) typology (Crawford, 2019). Our work aims to shed light on the value of these quickly developed, issue-based scenarios, and offer guidance on how to maximize the efficacy of future scenario planning on strategic foresight and planning.

 

 

9 October 2020

How food supply chains are changing following Covid-19

Prof. Michael Bourlakis
Cranfield University

The seminar will focus on the current Covid-19 crisis and its impact on supply chains in general and on food supply chains in particular. The seminar will start by analysing other, major crises taking place in the food supply chain in the past years and it will illustrate how Covid-19 is different and its transformation impact on the food supply chain. The seminar will suggest possible avenues and ways forward to address some of the challenges posed by Covid-19 and it will illustrate specific ideas which can be incorporated and taken up by various food supply chain stakeholders. It will also identify areas for further research urgently needed.

 

 

23 September 2020

Leading Organizational Change with Adaption and Innovation

Dr. Curt Friedel
Virginia Tech

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.

 

 

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.

 

 

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.

 

 

 

23 October 2019

Metamodel-based Forecast of Lead Time Quantiles

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

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.)

 

 

 

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. 

 

 

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.

 

 

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.

 

 

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.

 

 

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.

 

 

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.

 

 

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.

 

 

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.

 

 

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, Academia.edu.

 


University of Glasgow
University of Glasgow

Shari De Baets - Ghent University, Belgium 

Itir Göğüş - Bilkent University, Turkey

Ayşe Kocabıyıkoğlu - Sabancı University, Turkey

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

Niles Perera - University of Moratuwa, Sri Lanka

Robert Reig - Aalen University, Germany  

 

 

 

 

 

 

 

 

 

 

 

 

 



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