Tracks and Themes
Decision Science and Optimization
Information and communication technology
Product Design and Delivery
Supply Chain Management
Sustainable Operations and Supply Chain Management
Operations Management and Accounting
Operations Management and Economics
Operations Management and Finance
Operations Management and Marketing
Connecting Supply Chains in Divided Times:
Supply Chains, Trump-Effect and Brexit
Christoph Loch - University of Cambridge Judge Business School, UK
Steven McGuire - Dean, University of Sussex Business School, UK
L. Alan Winters - Director UK Trade Policy Observatory, University of Sussex, UK (tbc)
Bart MacCarthy - Nottingham University Business School, UK
ManMohan Sohdi - Cass Bussiness School, UK
Finn Wynstra - Erasmus University Rotterdam, Netherlands
In parallel with the increasing application of performance-based contracting (PBC) in practice, research has started to explore some relatively new and problematic aspects of implementing PBC. One of these aspects pertains to mitigating and accounting for the influence that buying firms and/or final customers have on the delivery and performance of services. Other aspects include the application of new technologies, such as remote diagnostics, which can help plan maintenance of assets and monitor performance – but at the same time create dilemmas around intellectual property and privacy.
How to foster bold, future guiding research?
Artificial Intelligence and Data Analytics in Supply Chain Management
Alexandra Brintrup - University of Cambridge, UK
Artificial Intelligence is making an impact in various supply chain functions from forecasting demand with machine learning to automated pricing algorithms with agent-based systems. While large multinationals are showing signs of early adoption, academic discussion on the use and impact of AI technology in supply chains has been lagging behind, partly due to the interdisciplinary nature of the domain. This track aims to bring together researchers to discuss how AI is changing supply chains, novel applications and opportunities, as well as challenges and barriers to adoption of AI technology.
Strengthening supply chains using block chain applications
In this special track we aim to discuss the impact of new information technologies, specifically block chain applications, on supply chain and logistics operations. Both theoretical and practical papers on the implementation of blockchain in Supply Chain and operations management are welcomed.
Operations Management in Emergencies
Tobias Andersson Granberg - Linköping University, Sweden
This special track encompasses operations management for emergencies, ranging from daily accidents and emergency medical events, to larger events, like medium sized forest fires and storms, to disasters. Particularly encouraged are contributions covering both daily emergencies and disasters, using the same or similar theories, models or methods.
The application of Industry 4.0 technologies in the supply chain
Yu (Jack) Gong - Southampton University, UK
Fu (Jeff) Jia - The York Management School, University of York, UK
This special track intends to advance the Production and Operations Management field through understanding the effects of the application of Industry 4.0 technologies (additive manufacturing/3D printing, intelligent manufacturing, internet-of-things, big data and etc.) on operations and supply chains.
Juliana Hsuan – Copenhagen Business School, Denmark
This special track invites contributions on development of service modularity and architecture from different disciplines/sectors as well as its application in practice. The paper can be conceptual, theoretical or empirical.
Servicizing and OM
Hamid Noori - Lazaridis School of Business & Economics, Wilfrid Laurier University, Canada
‘Servicization’ has been gaining traction both in OM literature and in practice as a novel approach to promote environmental sustainability. However, the message regarding the potential of servicizing as a business model can seem to be muddled in a large amount of definitions and different contexts (see, e.g., Agrawal and Bellos, 2016). This special track focuses on leveraging technology, best practice business processes and decision making models that would lead to more profitable and sustainable servicizing business model.
Managing Supply Chain Risk in Divided Times
Abhi Ghadge - Cranfield University, UK
Nachiappan Subramanian - University of Sussex, UK
This special track will discuss how firms are managing supply chain risks in an era of geopolitical instability including international trade disputes (USA-China), labour disruptions (Giletes Jaunes) and political disruptions (Brexit). Other supply chain risk topics will also be discussed from a range of conceptual, theoretical and empirical papers.
How Social Media are Transforming Operations Management
T. C. E. Cheng - The Hong Kong Polytechnic University, HK
Hugo K. S. Lam - University of Liverpool, UK
Andrew C. Lyons - University of Liverpool, UK
Andy C. L. Yeung - The Hong Kong Polytechnic University, HK
Social media have been transforming politics, social norms, and the way we communicate, but do they have a similar transformative effect on operations management? This special track welcomes submissions that advance our understanding of how social media transform various aspects of operations management such as innovation management, new product development, quality management, demand forecasting, inventory management, healthcare management, disaster management, risk management, and supply chain management.
Big Data, Behavioral Insights and Decision Practices
Kat Burger - University of Bristol, UK
Jie Sheng - University of Bristol, UK
This track focuses on advances in the interdisciplinary area of big data, behavioral insights and decision practices in operations and production management. While increasingly powerful analytical technologies have the potential to enrich organisational decision practices with big data, the development and use of actionable evidenced-based insight is still poorly understood. We invite submissions that consider methodological, theoretical and empirical developments in understanding at the interface of big data and human behaviour with clear contributions to decision practices in operations management contexts.
Supply Chain and Operations Management in Emerging Economies
Adegoke Oke - Arizona State University, USA
Increasing attention and focus on developing countries calls for the need to effectively include these countries in global supply chains. Developing countries are not only target markets for products but are fast becoming producers. We invite empirical studies and submissions that investigate supply chain and operations management practices in developing countries with particular focus on the influence of contextual factors.
Impacts of technology management on the apparel retailing and manufacturing industry
The apparel retailing and manufacturing industry has entered the data analytics era, and companies have to rethink how technology can be incorporated into their business models to yield operations improvement. This special track addresses the topic from multiple perspectives, including fashion apparel supply chain management, technology management, people, technology deployment, information systems management, etc. We invite submissions that advance methodological, theoretical and empirical developments in this context.