2022
DOI: 10.1016/j.jfbs.2021.100456
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Getting family firm diversification right: A configurational perspective on product and international diversification strategies

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Cited by 9 publications
(6 citation statements)
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“…For example, family business scholars could use temporal QCA to understand patterns of successful or nonsuccessful succession, or they might undertake an examination of how the strategic choices and performance of family firms change over time, building on research regarding generational stages of the firm (e.g. Hafner and Pidun, 2022). Similarly, a special issue in the Journal of International Management is seeking to advance QCA applications in the international context, meaning potential new opportunities for studying family business internationalization and global operations.…”
Section: Discussionmentioning
confidence: 99%
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“…For example, family business scholars could use temporal QCA to understand patterns of successful or nonsuccessful succession, or they might undertake an examination of how the strategic choices and performance of family firms change over time, building on research regarding generational stages of the firm (e.g. Hafner and Pidun, 2022). Similarly, a special issue in the Journal of International Management is seeking to advance QCA applications in the international context, meaning potential new opportunities for studying family business internationalization and global operations.…”
Section: Discussionmentioning
confidence: 99%
“…To our knowledge, theory elaboration has not been widely applied alongside QCA in family business research. In one article, the researchers unpack how performance vulnerability, generational stage and management professionalization combine to determine the success of family firms' diversification strategies (Hafner and Pidun, 2022). They engage in configurational theorizing to understand the results of QCA but do not elaborate upon theory, strictly speaking.…”
Section: Running Fuzzy-set Qualitative Comparative Analysismentioning
confidence: 99%
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“…As the number of conditions examined increases, so does the difficulty of interpreting the results ( Greckhamer, 2013 ; Hafner & Pidun, 2022 ). To reduce the redundancy of conditions, five ensemble machine learning regression models are used to extract core conditions influencing REI: Adaptive Boosting regression model (AdaBoost), Gradient Boosting Decision Tree regression model (GBDT), Extreme Gradient Boosting regression model (XGBoost), Light Gradient Boosting Machine regression model (LGBM) and Random Forest regression model (RF).…”
Section: Experimental Setup and Methodologymentioning
confidence: 99%
“…In particular, diversification is seen as a strategy to expand business lines and ensure the economic performance of the enterprise (Aaker, 2007;Ansoff, 1957;Gort, 1962;Kotler, 1991;Porter, 2008;Thompson & Strickland, 1996;Bowman, 2003;Katkalo, 2004;Kunz, 1994;Nalyvaiko, 2001;Rumelt, 1974;Dobroszek & Kalinowska, 2014;Kwon et al, 2021). The second aspect is formed by the views on diversification as a financial instrument to reduce business risks (Rumelt, 1982;Markowitz, 1959;Korinko, 2003;Vitlinskyi & Velykoivanenko, 2004;Hafner & Pidun, 2021). It should also be noted that the issue of diversification is revealed in the context of international resource sharing (geographic diversification), development of industries and sectors of the economy, strategic and economic management.…”
Section: Introductionmentioning
confidence: 99%