The process of new venture creation is characterized by the need to decide and take action in the face of uncertainty. Especially in the context of technology-based ventures uncertainty is substantial, posing difficulties for strategic decision-making based on prediction and planning. and how entrepreneurs' emphasis on these logics shifts and re-shifts over time. From our data, we induce a dynamic model which extends the literature on strategic decision-making in venture creation, illustrating how external and venture conditions -including not only uncertainty but also resource position and stakeholder pressure -lead to changes in venture scope, and thereby to shifts in the use of decision-making logics.

This article reports a multimethod study of product innovation processes in small manufacturing firms. Prior studies found that small firms do not deploy the formalized processes identified as best practice for the management of new product development (NPD)

I n this paper, we investigate how interorganizational networks and interpersonal networks interact over time. We present a retrospective longitudinal case study of the network system that developed a novel aircraft material and analyze change episodes from a structurationist perspective. We identify five types of episodes in which interpersonal and interorganizational networks interact (persistence, prospecting, consolidation, reconfiguration, and dissolution) and analyze conditions for these episodes and sequences among them. Our findings advance a cross-level perspective on embeddedness and show how individuals may draw on relational and structural embeddedness as distributed resources. The multiple levels of embeddedness impact network dynamics by introducing converging and diverging dialectics, thereby limiting path dependence and proactive network orchestration.

This study addresses the question of how established organizations develop new business models over time, using a process research approach to trace how four business model innovation trajectories unfold. With organizational learning as analytical lens, we discern two process patterns: "drifting" starts with an emphasis on experiential learning and shifts later to cognitive search; "leaping," in contrast, starts with an emphasis on cognitive search and shifts later to experiential learning. Both drifting and leaping can result in radical business model innovations, while their occurrence depends on whether a new business model takes off from an existing model and when it goes into operation. We discuss the implications of these findings for theory on business models and organizational learning.

Institutional theory emphasizes the institutional constraints that render radical innovations illegitimate, but fails to explain how such innovations might succeed. Adopting a micro-institutional perspective, this paper addresses why and how embedded agency may overcome legitimacy crises within established systems. Drawing on a sample of 20 legitimacy problems identified in five radical innovation trajectories at two mature companies, we develop an empirically grounded theory of the institutional work through which proponents legitimize radical innovations within established firms. This theory describes a variety of micro-institutional affordances that enable different strategic responses to legitimacy crises. We thus extend institutional theory by explaining embedded agents' use of a range of options to pursue radical innovation, providing a robust explanation of both institutional stability and radical change.