Employees competences-the success factor of commerce enterprises

Researches done in different areas of economic field have revealed that behind the performance of enterprises we find people. This truth is also valid for the commercial area. The commerce enterprise has some characteristic features among which there are: lack of common tools of other types of organisation for measurement of managerial performances, less degree of mechanisation and automation of activities, discontinuity of activities in work program caused by clients absence, the increased personnel expenses as part of the total expenses, significant seasonality impact, which can be manifested either in the activity period (the open season for example), or in consuming, or as a consequence of production seasonality, relatively increased number of clients to whom they address - very much in case of retail enterprises and quite much of those of wholesaling -, selling of a great number of products - the commerce firms who sell one or a few articles being exceptionally cases etc. All of these raise the problem of competences, abilities and necessary knowledge for a propey performance of commerce enterprise activities with the goal to reach their profitability. Therefore, as a succession of an exploratory research I have defined a commercial specialist profile, based on o few general and specific competences. Starting from these competences, curricula of preparing institutions can be designed with the goal of adapting these to business area requirements.competence, ability, knowledge, learning, preparation

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)

Biases in human behavior

The paper shows that biases in individual’s decision-making may result from the process of mental editing by which subjects produce a “representation” of the decision problem. During this process, individuals make systematic use of default classifications in order to reduce the short-term memory load and the complexity of symbolic manipulation. The result is the construction of an imperfect mental representation of the problem that nevertheless has the advantage of being simple, and yielding “satisficing” decisions. The imperfection origins in a trade-off that exists between the simplicity of representation of a strategy and his efficiency. To obtain simplicity, the strategy’s rules have to be memorized and represented with some degree of abstraction, that allow to drastically reduce their number. Raising the level of abstraction with which a strategy’s rule is represented, means to extend the domain of validity of the rule beyond the field in which the rule has been experimented, and may therefore induce to include unintentionally domains in which the rule is inefficient. Therefore the rise of errors in the mental representation of a problem may be the "natural" effect of the categorization and the identification of the building blocks of a strategy. The biases may be persistent and give rise to lock-in effect, in which individuals remain trapped in sub-optimal strategies, as it is proved by experimental results on stability of sub-optimal strategies in games like Target The Two. To understand why sub-optimal strategies, that embody errors, are locally stable, i.e. cannot be improved by small changes in the rules, it is considered Kauffman’ NK model, because, among other properties, it shows that if there are interdependencies among the rules of a system, than the system admits many sub-optimal solutions that are locally stable, i.e. cannot be improved by simple mutations. But the fitness function in NK model is a random one, while in our context it is more reasonable to define the fitness of a strategy as efficiency of the program. If we introduce this kind of fitness, then the stability properties of the NK model do not hold any longer: the paper shows that while the elementary statements of a strategy are interdependent, it is possible to achieve an optimal configuration of the strategy via mutations and in consequence the sub-optimal solutions are not locally stable under mutations. The paper therefore provides a different explanation of the existence and stability of suboptimal strategies, based on the difficulty to redefine the sub-problems that constitute the building blocks of the problem’s representation

Terminology for Evolving Design Artifacts

Many design researchers evolve artifacts in succeeding projects. Yet, these researchers lack a terminology to describe how their artifacts evolve. We provide such a terminology by paralleling concepts from evolution with design artifacts using examples from conceptual modeling. We found seven concepts from evolution that we think are useful to describe evolving design artifacts. Evaluating whether these concepts have been addressed, we identified six conceptual modeling design studies, whose authors have addressed some of the concepts with their own words. Using two of these studies, we explain how terminology from evolution can be used to describe evolving design artifacts. We hope that our results are useful to be integrated in design science procedure models to help researchers increasing rigor and relevance of their research, e.g.by allowing to clarify how the artifact at hand has evolved or to describe the evolutionary distance to preceding artifacts

Non Expectations and Adaptive Behaviours: the Missing Trade-off in Models of Innovation

We explore the modelling of the determination of the level of R&D investment of firms. This means that we do not tackle the decision of being an innovator or not, nor the adoption of a new technology. We exclude these decisions and focus on the situations where firms invest in internal R&D in order to produce an innovation. In that case the problem is to determine the level of R&D investment. Our interest is to analyse how expectation and adaptation can be combined in the modelling of R&D investment rules. In the literature both dimensions are generally split up: rational expectations are assumed in neoclassical models whereas alternative approaches (institutional and/or evolutionary) generally adopt a purely adaptive representation.Bounded rationality, learning, expectations, innovation dynamics.