The Research.Lab at Rennes SB emerges from our belief that research must be impactful and make a difference. To make sure that this is the case, we have decided to move out of traditional discipline-based research (i.e., research in marketing, research in finance, etc.) toward research that:
- Addresses current issues relevant to organizations and institutions, and
- Is transdisciplinary in nature, cutting through multiple management disciplines.
To identify on which topics such research should focus on, we leveraged existing skills across our multicultural faculty and identified four different areas of strength, which are critically relevant for today’s businesses.
Through the competence of our current faculty members and a strategic effort to focus in strengthening these skills via our growth we aim at building unique expertise in these areas so that we can provide relevant, impactful, and novel views on these topics to academics and practitioners alike, thus becoming a reference point on these issues in Europe and worldwide.
Such belief is captured in our Research.Lab motto:
This is different. This makes a difference. This is Research at Rennes SB.
Our four areas of Excellence:
Dr. Guillaume BAGNAROSA, Director for Agribusiness
Over the past decades, increasing agricultural knowledge and numerous innovation systems in the agribusiness have ensured that the international food system provides adequate supplies of food for an always growing population. Beyond this central role played by the sector in food security, agribusiness has also contributed to the global economic development and the worldwide poverty alleviation by being and remaining one of the main industrial sectors.
However, and as a result of the increasing awareness of environmental threats and of food safety combined with the agribusiness digitalisation from production to processing and to retail, all the processes and infrastructures involved in the globalised food system witness rapid transformations and new constraints raising simultaneously new challenges and opportunities.
Machine learning and AI solutions are rapidly being proposed for every aspect of how we do business. In some specialist areas the current solutions already offer superior performance over human employees. But the real opportunities are yet to come.
Green, Digital & Demand-Driven Supply Chain Management (G3D)
Dr. Ramzi HAMMAMI, Director for Digital and Green Supply Chain Management
The Green, Digital & Demand-Driven (G3D) Supply Chain Management Area of Excellence is a multidisciplinary research group in the field of supply chain and operations management. It is articulated around 4 main research sub-areas:
Green Supply Chain Management
Our research aims to revisit the operations management problems with the consideration of environmental aspects (environmental regulations, customers’ environmental awareness, social welfare, etc.). In particular, we focus on the following problems:
- For companies, how to rethink the supply chain and product decisions while trading-off environmental considerations and economic performance?
- For regulators, how to design an efficient environmental regulation to improve the social welfare?
Digital Supply Chain Management
The emergence of new picking technologies (e.g., IoT / Internet of Things), transfer technologies (blockchain) and big data analytics is a big opportunity for companies to improve their processes of data transactions, demand forecasting, and planning. However, the adoption of these technologies represents several challenges.
- How to adapt traditional planning methods to make better use of new technologies (sensors, IoT, blockchain)?
- What is the impact of new technologies on the design and management of supply chains (production, warehousing, transportation)?
- How to use big data and business analytics to improve supply chain and business performance?
Business value of Information Technology
Our research examines how IT investments affect economic activities. This study of the impact of IT investigates the following problems:
- How does IT infrastructure affect strategic management (mergers and acquisitions, business flexibility, innovation, environmental strategy, and corporate entrepreneurship) to increase firm performance?
- How does Internet technology enable the firm to develop operational capabilities to increase operational performance?
- How do firms learn to develop social media capabilities to innovate, and improving customer experience and performance?
Matching supply with demand
An efficient management of supply chains requires a deep understanding of market and demand structure and a fine modeling of the relationship between supply chain decisions and customer demand. Our research examines the following problems:
- How to integrate demand and revenue management with supply chain decisions?
- How to rethink supply chain design and management decisions with the consideration of endogenous demand?
! G3D Call For Projects
3D area of excellence of Rennes SB call for projects in the following topics:
- Green Supply Chain Management (PI: Imen Nouira)
- Digital Supply Chain Management (PI: Nadjib Brahimi)
- Business Value of Information Technology (PI: Jose Benitez)
- Matching Supply Chain with Demand (PI: Ramzi Hammami)
If you need more information, please contact the PI of each topic.
Invited Speaker at G3D Research Seminar
The Area of Excellence Green Digital and Demand-Driven Supply Chain Management has the pleasure of welcome Prof. Dr. Tamer Boyaci on June 18th 2019.
Dr. Boyaci joined the European School of Management and Technology (ESTM, Berlin) in 2015 as a professor of management science and is the first holder of the Michael Diekmann Chair in Management Science. In 2017, he was appointed as the director of research, and he is also the director of the Center for Sustainable Business and Leadership. He previously was a professor of operations management and a Desautels Faculty Scholar at McGill University in Quebec, Canada. Dr. Boyaci received his Ph.D., MPhil, and MSc from Columbia University, New York, USA.
Since October 2013, Dr. Boyaci is Associate Editor of Decision Science and Senior Editor of Production and Operation Management. He also has been editor of other important journals as Socio-Economic Planning Sciences, Manufacturing and Service Operation Management, and Computers and Operation Research.
During his visit, Dr. Boyaci will present his current research projects and the new guidelines of POM journal. Also, he will meet with student and researchers of the school, with a special interest in the advance in the ongoing research projects supported by our Area of Excellence.
mïnd (meaning, institutions, collective intelligence, information diffusion, networks, and decision-making)
Dr Anke PIEPENBRINK, Director for mïnd
mïnd – which stands for meaning, institutions, collective intelligence, information diffusion, networks, and decision-making – studies people and organizations as they face complexity. This means it looks at how they engage and perceive their environment, how they create, extract, and make meaning, how they organize, how they define problems, how they decide, how they communicate, how they collaborate, how they create, and what they mean by their acts and behavior, among others. Thus, mïnd welcomes all submissions dealing with the complexities arising when human mind is put into action. Our objective is to understand people and organizations in all aspects of business and management and help them make sense of and manage the complexity around them. In doing so, we will strive to tackle some very impactful and current topics in management, such as how to deal with grand challenges.
mïnd welcomes all kind of papers and funding submissions that explore the above mentioned aspects. As in any top management journal (such as Administrative Science Quarterly, Academy of Management Journal, or Strategic Management Journal), we are agnostic of the method utilized to advance a specific management theory or explore one of the phenomena within our scope, as they are only a tool toward the goal of scientific advancement. Quantitative and qualitative works are equally welcome. Same goes for more traditional (e.g., regression) and more contemporary (e.g., fsQCA or data science tools and methods) analyses.
mïnd offers its researchers access to two tools/facilities. The Integrated Learning Engine (ILE) is a tool developed within the Area with the objective of making vast amounts of data and capabilities to process it available to our faculty. Its current functionalities include Twitter data extraction, basic topic modeling with Latent Dirichlet Allocation (LDA), and sentiment analysis. The Area has also developed an Experimental Laboratory (the eLab) for carrying on experiments on human decision and behavior. Our plan is to continue to extend what we can do with these tools, so stay tuned for more.
As an Area of Excellence, the mïnd philosophy is to aim for research excellence (our motto is “we develop excellence”). Hence, while we are open to all work focusing on our domain, papers targeting a top journal – namely A and A*– will be strongly prioritized for acceptance in the Area and resource allocation. This includes papers at all stages of development, including manuscripts about to be submitted or already under review. We also welcome work that, although initially conceived for lower-ranked outlets, you would like to further develop to target a top journal, at least in its first submission. We will do our best to work with you to help you make this happen. Papers aiming at B-level journals will be also considered when instrumental to the Area development (e.g., funding applications)
mïnd includes the following five sub-areas:
- Meaning, Words, & Complexity works with online as well as offline overabundant data, in order to make sense of the large amount of text available to organizations and, in doing so, fully capture such environmental complexity, especially weak signals, shifts of meaning over time and coevolution of actors and their environment, thus help managers and employees to make sense, focus attention, and manage the complexity they operate in;
- Information Diffusion & Complexity investigates questions such as how information travels online, how value of information changes as it moves from one point to many, and what businesses can learn from that. Views reflected in this sub-area include content-based view (considering the content of the information such as sentiment level, media attachment, content enhancement, content size and others), user-based view (as in user interactions around the information), and time-based view;
- Collective Intelligence & Complexity aims to answer questions regarding collaborative efforts both online and offline. The sub-area covers a variety of collaborative efforts. Topics include, but are not limited to, crowdsourcing, collaborative innovation, group decision making, knowledge ecosystems, open source intelligence, and online collective intelligence;
- Networks, Institutions & Complexity focuses on the role networks and institutions – e.g., institutional logics – for individuals and organizations. In today’s complex world, such actors get an increasing number of constraints and opportunities from being part of multiple networks and being on the receiving end of multiple stakeholders’ expectations. In this context, we also look at topics that are affected and at the same affect networks and institutions (and logics), such as categorization processes. The intertwining of networks, institutional logics, and categories is barely explored, and thus contributions that will deal with such topics and how they affect individual and organizational outcomes are most welcome. A better understanding of the antecedents and consequences of such influences, the processes leading to their emergence and maintenance over time, and their role for individual and organizational outcomes in an increasingly complex world is critical in order to help managers understand and leverage complexity;
- Problems, Decisions & Complexity accepts topics such as problem formulation and its process (including identification), decision making in organizational or consumer research, exploration of the decision-making process of individuals (especially via neurophysiological approaches, e.g., eye tracking, facial emotion coding, etc.), the role of artifacts in individuals’ problem formulation and decision making, how to frame and tackle grand challenges, and so on.