2. This paper examines interconnectivity within the grocery channel and suggests an interorganizational connectivity framework modeled in part on the IS0 model of systems connectivity. This seven-level model of interorganizational connectivity and channel interdependence is illustrated using examples of processes that span multiple levels of interconnectivity and interdependence within the groc...

The paper presents a model of endogenous growth and strategic interdependence among firms, in the form of differentiated oligopoly. It shows that the degree of interdependence among firms affects the growth rate of available varieties along a balanced growth path. The resulting link between market interdependence and varieties’ growth may be positive or negative, because opposite forces are at ...

A major reason for the failure of rational models (cognitive science, game theory) of organizations is the use of static concepts of interdependence to predict dynamic behavior. In contrast, a quantum model of organizations transforms the traditional model into a model of dynamic interdependence of uncertainty. In this study, we explore Galois lattices as a potential quantum model of networked ...

We are developing the physics of interdependent uncertainty relations to efficiently and effectively control interdependence in autonomous hybrid teams (i.e., arbitrary combinations of humans, robots and machines), which cannot be done presently. Uncertainty is created in states of interdependence between social objects: at one extreme, interdependence reduces to independent agents and certaint...

To reap the value in diverse teams, leaders may try to manipulate structuralinterdependence – through task design – to foster synergistic collaboration. However, ambiguityabout the nature and appropriate intersections of members’ unique and valuable cognitiveperspectives can make it difficult to fully anticipate collaborative activity in task design. Here,teams need emergent...

this paper assumes the cell formation problem as a distributed decision network. it proposes an approach based on application and extension of information theory concepts, in order to analyze informational complexity in an agent- based system, due to interdependence between agents. based on this approach, new quantitative concepts and definitions are proposed in order to measure the amount of t...