İşletme Bölümü Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.11779/1937
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Article Disentangling the Dynamic Digital Capability, Digital Transformation, and Organizational Performance Relationships in Smes: a Configurational Analysis Based on Fsqca (sept, 10.1007/S10799-024-00437-y, 2024)(Springer, 2024-10-08) Karadag, Hande; Sahin, Faruk; Karamollaoglu, Nazli; Saunila, Minna[No Abstract Available]Article Citation - WoS: 10Citation - Scopus: 14Disentangling the Dynamic Digital Capability, Digital Transformation, and Organizational Performance Relationships in Smes: a Configurational Analysis Based on Fsqca(Springer, 2024-09-02) Saunila, Minna; Karadağ, Hande; Şahin, Faruk; Karamollaoğlu, NazlıWhile digitalization has become inevitable for firms of every size, a limited number of studies to date aimed to investigate the impact of digital capabilities and digital transformation on the organizational performance of small businesses. Drawing on the dynamic capabilities view, the current study analyzes the conditions under which the dynamic digital capability of a small and medium-sized enterprise (SME) would lead to higher performance. In this study, a unique fuzzy-set qualitative comparative analysis methodology was used for analyzing the data collected from 136 SMEs for investigating the IT utilization, human capital, digital maturity, and digitalization strategy antecedents of dynamic digital capability. The results reveal that two particular configurations of dynamic digital capability are identified as the main digitalization influencers of organizational performance in SMEs. To the best of our knowledge, this study presents the first empirical findings to the literature about dynamic digital capability and organizational performance relationships in SMEs through the utilization of configurational analysis methodology. Theoretically, the study addresses an acknowledged need for a holistic approach to uncover the underlying mechanisms of dynamic digital capability formation and digital transformation in small firms, with their impact on firm performance. The findings also present vital practical implications for business owners, policy-makers, and bodies responsible for SMEs, by providing new insights about the combination of factors that drive high performance, particularly at times of turbulence, in these units.Article Citation - WoS: 21Citation - Scopus: 21Testing for Systemic Risk Using Stock Returns(Springer, 2016-05-26) Kupiec, Paul; Güntay, LeventThe literature proposes several stock return-based measures of systemic risk but does not include a classical hypothesis tests for detecting systemic risk. Using a joint null hypothesis of Gaussian returns and the absence of systemic risk, we develop a hypothesis test statistic to detect systemic risk in stock returns data. We apply our tests on conditional value-at-risk (CoVaR) and marginal expected shortfall (MES) estimates of the 50 largest US financial institutions using daily stock return data between 2006 and 2007. The CoVaR test identifies only one institution as systemically important while the MES test identifies 27 firms including some of the financial institutions that experienced distress in the past financial crisis. We perform a simulation analysis to assess the reliability of our proposed test statistics and find that our hypothesis tests have weak power, especially tests using CoVaR. We trace the power issue to the inherent variability of the nonparametric CoVaR and MES estimators that have been proposed in the literature. These estimators have large standard errors that increase as the tail dependence in stock returns strengthens.