- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Knowledge Graph Search feature is available on CiNii Labs
- 【Updated on June 30, 2025】Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
Innovation Motives in Family Firms: A Transgenerational View
-
- Vanessa Diaz-Moriana
- Department of Business Economics, University of the Balearic Islands (UIB), Palma de Mallorca, Balearic Islands, Spain
-
- Eric Clinton
- Department of Economics, Finance & Entrepreneurship, Dublin City University, Dublin, Ireland
-
- Nadine Kammerlander
- Department of Entrepreneurship and Innovation Group, WHU – Otto Beisheim School of Management, Vallendar, Rheinland-Pfalz, Germany
-
- G. T. Lumpkin
- Department of Entrepreneurship & Economic Development, University of Oklahoma, Norman, OK, USA
-
- Justin B. Craig
- Kellogg School of Management, Northwestern University, Evanston, IL, USA
Search this article
Description
<jats:p> Drawing on the transgenerational entrepreneurship perspective, we employ a multiple case study approach to investigate why multigenerational family firms innovate. The data collection process drew upon five in-depth cases comprising 42 semistructured interviews, 25 participant observations, and several thousand pages of historical data dating from 1916 to 2017. We find patterns on how the firms’ long-term view—embracing both the past and the future—influences the innovation motives of these firms. Specifically, we identify three innovation patterns: conserving, persisting and legacy-building. We introduce a set of propositions and a framework linking long-term orientation dimensions to innovation motives and innovation outcomes. Our research thus contributes to a more fine-grained understanding of innovation behavior in family firms. </jats:p>
Journal
-
- Entrepreneurship Theory and Practice
-
Entrepreneurship Theory and Practice 44 (2), 256-287, 2018-09-27
SAGE Publications
- Tweet
Details 詳細情報について
-
- CRID
- 1360298759654217216
-
- ISSN
- 15406520
- 10422587
-
- Data Source
-
- Crossref