Alessandro Marino

Three Facets of Organizational Adaptation: Selection, Variety, and Plasticity

When considering the adaptive dynamics of organizations, it is important to account for the full set of adaptive mechanisms, including not only the possibility of learning and adaptation of a given behavior but also the internal selection over some population of routines and behaviors. In developing such a conceptual framework, it is necessary to distinguish between the underlying stable roots of behavior and the possibly adaptive expression of those underlying templates. Selection occurs over expressed behavior. As a result, plasticity, the capacity to adapt behavior, poses a trade-off as it offers the possibility of adaptive learning but at the same time mitigates the effectiveness of selection processes to identify more or less superior underlying roots of behavior. In addition, plasticity may mitigate the reliability with which practices are enacted. These issues are explored in the context of a computational model, which examines the interrelationship among processes of variation, selection, and plasticity.

Driving Performance via Exploration in Changing Environments: Evidence from Formula One Racing

Until recently, scholars have customarily lumped multiple dimensions of environmental change into single constructs, and usually ascertained that the more the context changes, the more value firms derive from higher levels of exploration. In sync with more recent studies focusing on specific dimensions of change, in this paper we borrow theoretical elements from systems theory to examine the possibility that the reward to developing innovative product components may itself be eroded by implicit and yet burgeoning costs to fit the new component technology into existing architectures, thereby dampening system performance. Specifically, we theoretically assess how varying magnitudes of industry regulatory changes affect the optimum level of firm exploration, and propose-counterintuitively vis-i-vis past literature-that the more radical i.e., competence destroying, as opposed to incremental i.e., competence enhancing, these changes are, the more the optimum intensity of firm exploration recedes. Based on quantitative as well as qualitative empirical analyses from the Formula One racing industry, we precisely trace the observed performance outcomes back to the underlying logic of our theory, stressing that impaired capabilities to integrate the new component in the architecture redesign and time-based cognitive limitations both operate to inhibit the otherwise positive relationship between firm exploration and performance. In the end, we offer new insights to theory and practice.

Organizational Routines Development and New Venture Performance

To better understand how entrepreneurial ventures vary as they evolve, we introduce and develop the concept of an organizational routine in a prototypical state, a protoroutine. Protoroutines allow experienced new ventures (but not inexperienced start-ups) to economize on decision-making and execution time in problem solving by drawing from an inventory of prior solutions to challenges. Protoroutines are not, however, tailored to the challenge at hand. We embed protoroutines into a simulation-based model featuring agents with differing decision-making speeds and abilities of exploring more distant solutions, two parameters influenced by founding team characteristics. Search speed and distance are typically traded off against each other at the team design level. Protoroutines may therefore be particularly helpful in organizational contexts in which it is optimal to have both search speed and distance. We characterize the organizational contextual configurations along the dimensions of environmental turbulence and decision complexity in which protoroutines, search speed, and search distance are associated with elevated (and dampened) organizational performance. One important conclusion is that decision-making speed can be a valuable organizational resource across organizational environments. Overall, our agent-based model and simulation results deepen our understanding of how and with what performance consequence new ventures develop.

A Matchmaking Architecture to Support Innovation by Fostering Supply and Demand of Venture Capital

This paper proposes a web-based matchmaking engine aimed to overcome weaknesses of online directories --- which typically includes only a list of supply features --- by generating valuable information for users. Although applicable in several domains, the matchmaking engine has been developed for the venture capital industry where entrepreneurs seeking financing search for investors who, in turn, scout entrepreneurs on the basis of specific investment criteria. The match-making engine ultimate goal is to allow users to save time and money in their reciprocal search activity by generating analytic information on project compatibility measures.