Knowledge-based dynamic capabilities: a joint R&D project in the French semiconductor industry

Abstract

Purpose The purpose of this study is to identify dynamic capabilities in joint R&D projects, that enable them to successfully achieve knowledge creation and discover how they behave throughout the life cycle of a collaborative project, although this understanding could enhance the interorganizational knowledge creation process. Design/methodology/approach The authors conducted 65 semi-structured interviews and utilized secondary data from a joint R&D project. The authors analyzed all data using the Gioia method. Findings The authors confirm that specific dynamic capabilities are needed to create interorganizational knowledge and discovered 11 knowledge-based dynamic capabilities (KBDCs) for successful innovation results in joint R&D projects. Gioia method allowed to discover that different KBDCs are necessary for the different phases of the project lifecycle. Additionally, the authors identify two microprocesses in which KBDCs are engaged in joint R&D projects, knowing that is a part of the sensing and seizing processes and synthetizing that is a part of the seizing process, and establish several KBDC microfoundations. Research limitations/implications We used retrospective interviews. This kind of interviews are impacted by the experiences of the respondents lived after they have participated in the joint R&D project. Practical implications Dynamic capabilities for collaborative knowledge creation and their specific microfoundations can help managers delineate their strategic practices and actions to achieve more sustainable, long-lasting results from joint R&D projects. Originality/value The authors improve Teece’s model and propose two microprocesses in which dynamic capabilities are engaged, that emerged in the context of a joint R&D project, knowing that is a part of the sensing and seizing processes and synthetizing that is a part of the seizing process, which supplement those already known: sensing, seizing and transforming. The authors tested the Gioia method, which is important for detecting dynamic capabilities; therefore, the authors propose a methodological advance that can contribute to future studies. The authors provide an interorganizational perspective on KBDC and a methodological view of the changes in KBDCs required for joint R&D projects.