How do you come up with a research idea? How can you make your research more impactful? Should your idea be motivated by a problem or a unique dataset? This session will discuss different pathways to impactful and publishable research with specific examples. The session will also briefly cover some pointers on managing the review process.

Denish Shah is the Barbara and Elmer Sunday Professor of Marketing, Founding Director of the Social Media Intelligence Lab, and Executive Director of the Marketing RoundTable at Georgia State University. His research focuses on issues that lie at the intersection of marketing strategy, new technologies, and/or social impact of marketing. His research has been published in top journals such as the Journal of Marketing Research, Harvard Business Review, Marketing Science, Journal of Marketing, Sloan Management Review and several other outlets. He is the co-editor of the Handbook of Research on Customer Equity in Marketing. Dr. Shah’s research has been a finalist or winner of two early career awards recognizing excellence in research, nine best paper awards (including the prestigious MSI-Paul Root Award, ISMS Practice Prize, and the Robert D. Buzzell Award) and three dissertation-based awards. Dr. Shah has a PhD in Marketing from the University of Connecticut, USA.

Please click here to register.

Sustainability and human-centricity have become fundamental principles in contemporary logistics and supply chain management. This presentation provides insights into the integration of human-centered approaches into sustainable logistics and supply chain management strategies and highlights their impact on long-term resilience and adaptability. The presentation also explores how digital transformation and new technologies can support inclusive and environmentally responsible logistics systems. In this context, it examines real-world practices and frameworks and offers insights on how organizations can align their performance objectives with social and environmental values.

Suzan Oğuz received her Ph.D. from the Department of International Trade and Logistics at Akdeniz University (Antalya, Türkiye) in 2023. She worked as a Research Assistant at Çağ University (Mersin, Türkiye) between 2016 and 2023, and now holds the position of Assistant Professor at the same institution. She is currently conducting a postdoctoral research project at the Department of Management, Economics and Industrial Engineering (DIG) at Politecnico di Milano, funded by the Scientific and Technological Research Council of Türkiye (TÜBİTAK). Her research interests focus on sustainable logistics, supply chain management, and the integration of emerging technologies into logistics systems.

While it is widely recognised that linear (structural) VARs may fail to capture important aspects of economic time series, the use of nonlinear SVARs has to date been almost entirely confined to the modelling of stationary time series, because of a lack of understanding as to how common stochastic trends may be accommodated within nonlinear models. This has unfortunately circumscribed the range of series to which such models can be applied — and/or required that these series be first transformed to stationarity, a potential source of misspecification — and prevented the use of long-run identifying restrictions in these models. To address these problems, we develop a flexible class of additively time-separable nonlinear SVARs, which subsume models with threshold-type endogenous regime switching, both of the piecewise linear and smooth transition varieties. We extend the Granger–Johansen representation theorem to this class of models, obtaining conditions that specialise exactly to the usual ones when the model is linear. We further show that, as a corollary, these models are capable of supporting the same kinds of long-run identifying restrictions as are available in linearly cointegrated SVARs.

Sophocles Mavroeidis is a Professor of Macroeconometrics at the University of Oxford and a Fellow in Macroeconomics at University College, Oxford. His research focuses on econometric methods for macroeconomic models, with major contributions in addressing weak identification in structural models and developing techniques to account for nonlinearities induced by occasionally binding constraints. His work has advanced robust inference in macroeconomic models, particularly in settings where standard estimation methods fail due to weak instruments or nonlinearity. He has published in leading journals, including Econometrica, the American Economic Review, and the Journal of Econometrics, and has received funding from the NSF, Leverhulme, ERC, and UKRI. He serves as an associate editor for multiple journals.

Please click here to register.

The need for human in the loop automation is particularly relevant for safety critical industry where industrial accidents related to technological malfunctioning have been diminishing, leaving the human error responsible for up to 80% of the accidents. However, even if one of the main aims of introducing automation is often to improve safety by reducing or eliminating human errors, it is often argued that this may simply induce new types of errors. To take full advantage of human machine collaboration, companies must understand how humans can most effectively augment machines, how machines can enhance what humans do best, and how to redesign business processes to support the partnership.

In the present talk, some areas of application and the key challenges and opportunities they raise in terms of function allocation, dependability and overall system performance will be presented. In this sense, a collaborative intelligent creative gesture is an innovation that required a combined effort from an intelligent, robotic or autonomous agent and a human.

Maria Chiara Leva is the Lead of the Human factors in Safety and Sustainability (HFISS) research group in Technological University Dublin and a Senior Lecturer in the School of Environmental Health for the same institution. She is a visiting research Fellow in the Centre for Innovative Human systems in Trinity College Dublin. She is the co-founder of Tosca Solutions (www.toscasolutions.com) a Spin out campus company based in NDRC and Trinity College Dublin to offer support for implementing risk management tools customised specifically to the needs of highly regulated environments. Her area of Expertise is Human factors and Safety Management Systems. Chiara holds a PhD in Human factors conferred by the Polytechnic of Milano Department of Industrial Engineering. She is the former chair of The Irish Ergonomics Society and current co-chair of the technical committee for Human factors in the European Safety and Reliability Association.

REGISTER