2017
DOI: 10.3390/su9122354
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Impact of Organizational Culture Values on Organizational Agility

Abstract: Abstract:To remain competitive within the current, uncertain business scenario, it is vital for firms to develop capabilities that lead them to adapt and offer quick responses to market changes. Under the dynamic capabilities view of the firm, this paper proposes a model that presents an exhaustive analysis of two relevant research gaps: (i) the underlying relationships that determine the impact exerted by each of the four organizational culture typologies, comprised in Cameron and Quinn's Competing Values Fra… Show more

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Cited by 164 publications
(128 citation statements)
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References 77 publications
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“…Additionally, as the number of observations is lower than 250, authors of reference as Reinartz et al [61] and Roldán and Sanchez-Franco [62] also encourage the use of this technique as PLS ensures the quality and reliability of the results. The reason why the traditional PLS was employed is because we are testing a model of composites [63,64].…”
Section: Methodsmentioning
confidence: 99%
“…Additionally, as the number of observations is lower than 250, authors of reference as Reinartz et al [61] and Roldán and Sanchez-Franco [62] also encourage the use of this technique as PLS ensures the quality and reliability of the results. The reason why the traditional PLS was employed is because we are testing a model of composites [63,64].…”
Section: Methodsmentioning
confidence: 99%
“…(Ringle et al, 2015), as well as the new measures of predictive performance for a specific model developed by the SmartPLS team (SmartPLS, 2017) (cf. also Felipe, Roldán & Leal-Rodríguez, 2017).…”
Section: Evaluation Of the Predictive Performancementioning
confidence: 99%
“…Although Granger causality statistical hypothesis test would have been equally useful according to our research purpose of predicting causality, this study works with composite constructs that consequently requires a different approach. Prior studies endorse the use of PLS when a composite measurement model is supported (Felipe et al, 2017). Both theoretical studies (Rigdon, 2012;Rigdon, Sarstedt, & Ringle, 2017) and empirical simulation works (Becker, Rai, & Rigdon, 2013;Sarstedt, Hair, Ringle, Thiele, & Gudergan, 2016) endorse and advice the use of PLS-SEM for models comprising composite constructs.…”
Section: Pls Analysismentioning
confidence: 99%