The Impact of New Scientific Knowledge on Firms' Routines and Capabilities: The Case of Mechatronics
Autor: | Ugo Rizzo, Laura Ramaciotti, Daniela Freddi |
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Jazyk: | angličtina |
Rok vydání: | 2015 |
Předmět: |
mechatronics
Sociology of scientific knowledge Knowledge management business.industry Routines organizational capabilities dynamic capabilities mechatronics new body of knowledge recruitment new body of knowledge Mechatronics SH1_10 Competitive advantage SH2_7 Body of knowledge Economica organizational capabilities recruitment Order (exchange) Organizational behavior Management of Technology and Innovation Routines Organizational theory Dynamic capabilities business dynamic capabilities |
Popis: | Routines and capabilities are patterns of actions, entailing both stability and change, according to which organizational behavior is investigated and that rest at the base of firms’ competitive advantage. Research in organizational theory recently started to disentangle the micro-foundations of these collective concepts in order to better grasp the mechanisms by which individuals influence the generation and evolution of routines and capabilities. In the present work we seek to contribute to this literature by investigating how the acquisition of a radical new body of knowledge via recruitment impacts on the evolution of the routines and dynamic capabilities of the firm. By means of a multiple case study research on mechatronics companies located in Northern Italy, the study examines if and how the insertion of graduates in a discipline new to the company modified its routines and the dynamic capabilities. In other words we explored whether the introduction of a new body of knowledge embodied in new graduates produced changes on the organization and functioning of the hosting R&D department and/or it also shaped the overall firm’s development strategies, thus overcoming the expected inertia. The results are important for both managing change to increase the company’s competitive advantage as well for the policy implications which can be derived. |
Databáze: | OpenAIRE |
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