Integrated game-theory modelling for multi enterprise-wide coordination and collaboration under uncertain competitive environment

In this work, an integrated Game Theory (GT) approach is developed for the coordination of multi-enterprise Supply Chains (SCs) in a competitive uncertain environment. The conflicting goals of the different participants are solved through coordination contracts using a non-cooperative non-zero-sum Stackelberg game under the leadership of the manufacturer. The Stackelberg payoff matrix is built under the nominal conditions, and then evaluated under different probable uncertain scenarios using a Monte-Carlo simulation. The competition between the Stackelberg game players and the third parties is solved through a Nash Equilibrium game. A novel way to analyze the game outcome is proposed based on a win–win Stackelberg set of “Pareto-frontiers”. The benefits of the resulting MINLP tactical models are illustrated by a case study with different vendors around a client SC. The results show that the coordinated decisions lead to higher expected payoffs compared to the standalone case, while also leading to uncertainty reduction.Peer ReviewedPostprint (author's final draft

Impact Investments: An Emerging Asset Class

Examines the impact investment market landscape, what makes it an emerging asset class, expectations for financial returns, estimates of potential investment opportunities in specific sectors, and risk management and performance monitoring issues

Behavioural patterns in social networks

In this paper, we focus on the analysis of individual decision making for the formation of social networks, using experimentally generated data. We first analyse the determinants of the individual demand for links under the assumption of agents' static expectations. The results of this exercise subsequently allow us to identify patterns of behaviour that can be subsumed in three strategies of link formation: 1) reciprocator strategy - players propose links to those from whom they have received link proposals in the previous round; 2) myopic best response strategy - players aim to profit from maximisation; 3) opportunistic strategy - players reciprocate link proposals to those who have the largest number of connections. We find that these strategies explain approximately 76% of the observed choices. We finally estimate a mixture model to highlight the proportion of the population who adopt each of these strategies

Innovation Behaviour At Farm Level – Selection And Identification

Using a squential logit model and a mixed-effects logistic regression approach this empirical study investigates factors for the adoption of automatic milking technology (AMS) at the farm level accounting for problems of sequential sample selection and behaviour identification. The results suggest the importance of the farmer’s risk perception, significant effects of peer-group behaviour, and a positive impact of previous innovation experiences.Technology Adoption, Mixed-Effects Regression, Risk, Agricultural and Food Policy, Farm Management, Land Economics/Use,

Innovation behaviour at farm level: Selection and identification

Using a squential logit model and a mixed-effects logistic regression approach this empirical study investigates factors for the adoption of automatic milking technology (AMS) at the farm level accounting for problems of sequential sample selection and behaviour identification. The results suggest the importance of the farmer’s risk perception, significant effects of peer-group behaviour, and a positive impact of previous innovation experiences.squential logit model, automatic milking technology (AMS), Livestock Production/Industries, Research Methods/ Statistical Methods, Risk and Uncertainty,

The Joint Effect of Technological Distance and Market Distance on Strategic Alliances.

The literature on strategic alliances has deepened our understanding of the mechanisms behind their formation. This literature has given a central role to complementarities between firms, whereby complementarities are usually measured by technological overlap. An established result tells us that, there is an inverted-u relationship between technological distance and learning by firms. In this paper, we argue that technological distance is only one aspect of complementarities. Equally important is the market distance, which we define as the extent to which the value generated by the alliance depends on the synergies between firms’ products. These synergies may occur because of the complementarities between products, or the possibilities to apply similar knowledge fields in different product domains. Through an agent based simulation study, we show that when firms consider both distances jointly, an alliance strategy which favours being close in at least one dimension yields the highest payoff, rather than being at the intermediate distance in both dimensions.

Are geographical indication products fostering public goods? some evidence from Europe

Within the framework of multifunctional conceptualisation, the authors have investigated the level of public goods embedded in Agri-food geographical indication productsPostprint (published version

Connecting adaptive behaviour and expectations in models of innovation: The Potential Role of Artificial Neural Networks

In this methodological work I explore the possibility of explicitly modelling expectations conditioning the R&D decisions of firms. In order to isolate this problem from the controversies of cognitive science, I propose a black box strategy through the concept of “internal model”. The last part of the article uses artificial neural networks to model the expectations of firms in a model of industry dynamics based on Nelson & Winter (1982)

Schumpeterian Dynamics and Financial Market Anomalies

In this paper we try to put together both the dynamics of the endogenous evolution of an industry and the corresponding dynamics on the capital market. The first module of our modelling efforts is the endogenous evolution of the industry based on the micro-behaviour of boundedly rational agents. They strive to undertake entrepreneurial actions and found new firms. Thereby, the role of knowledge diffusion is emphasized. The second module, the capital market module, will also be represented by boundedly rational agents. They read the data of the real side of the economy – induced by the real economy module – interact with other investors and eventually derive their investment decisions. The cognitive process will be modelled using a neural network approach.neural networks, financial markets, entrepreneurship, endogenous evolution