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Building on the seminal work of Thomas J. Allen, we contribute to the emerging microlevel theory of knowledge recombination by examining how individual-level characteristics of inventors affect the breadth of their technological recombinations. Our data se ...
Purpose - As the global market conditions become progressively more volatile and unpredictable, public and private organisations are increasingly pressured to rely on innovation and adaptability as crucial sources of sustained performance. Our study invest ...
This article introduces learning analytics dashboards that visualize learning traces for learners and teachers. We present a conceptual framework that helps to analyze learning analytics applications for these kinds of users. We then present our own work i ...
The aim of this paper is twofold: first, it aims at investigating how cooperatives organizational dimensions affect its strategic positioning; and second, how producer cooperatives influence the competitive dynamics of the markets where they compete. In or ...
Despite many years of research in CSCL, computers are still scarcely used in classrooms today. One reason for this is that the constraints of the classroom environment are neglected by designers. In this contribution, we present a CSCL environment designed ...
This review provides a high-level synthesis of significant recent advances in artificial neural network research, as well as multi-disciplinary concepts connected to the far-reaching goal of obtaining intelligent systems. We assume that a global outlook of ...
The choice of the firm's market environment is one of the fundamental decisions of firm founders. We study the pre-entry generation of founders' market choice sets by investigating their search for market opportunities in which the firm's technological res ...
Since the seminal work of Thrun [16], the learning to learn paradigm has been defined as the ability of an agent to improve its performance at each task with experience, with the number of tasks. Within the object categorization domain, the visual learning ...
In this paper we introduce a budgeted knowledge transfer algorithm for non-homogeneous reinforcement learning agents. Here the source and the target agents are completely identical except in their state representations. The algorithm uses functional space ...
Building on the seminal work of Allen (1977), we contribute to the emerging micro-level theory of knowledge recombination by examining how individual-level characteristics of inventors affect the breadth of their technological recombinations. Our data set ...
