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The dynamic capabilities view (DCV) focuses on renewal of firms' strategic knowledge resources so as to sustain competitive advantage within turbulent markets.
This finding is consistent with the proposition of dynamic capabilities view which suggests that the presence and efficacy of dynamic capabilities has been equated with environmental conditions characterized by high dynamism (Sirmon et al. 2008; Schilke 2014).
He started looking for ways to measure poverty that coincided with his broad "capabilities" view of what poverty is.
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The emotional capability view is largely consistent with and enhanced by growing research in positive psychology.
Despite the recent theoretical advancements the dynamic capability view still lacks a strong empirical base.
Whilst the innovation literature has over the years moved away from its 'product innovation' pre-occupation to capture the role of other forms of innovation in value creation, the capability view has progressed from its 'rigid' or 'static' view to a 'dynamic' view in an effort to capture market dynamism.
Based on a reading of J.S. Mill's work, Qizilbash (2008: 58) concludes that "the strong contrast which Sen sometimes makes between classical utilitarianism and his capability view is overdone".
Yet while capability scholars initially seemed rather sure of their case against Rawls (Sen 1980, Nussbaum 2006), a more recent wave of philosophical enquiry has highlighted how complicated the comparisons between Rawls's theory of justice and the capability view are (Pogge 2002, Robeyns 2009, Brighouse and Robeyns eds. 2010).
Within theories of justice, the main arguments are with Rawlsian resourcists (which will be the subject of section 5), and with defenders of Dworkinian resourcism (for comparisons of the capability view with Dworkin's egalitarian theory, see Dworkin 2000: 299–303; Kaufman 2006b: 125–8; Pierik and Robeyns 2007; Sen 1984, 2009: 264–268; Williams 2002)).
7. R. Makadok, "Toward a Synthesis of the Resource-Based and Dynamic-Capability Views of Rent Creation," Strategic Management Journal 22, no. 5 (2001): 387-402.
However, reducing the field of view (FOV) in CBCT images increases the resolution, so more accurate and higher diagnostic capability views are possible [ 29, 30].
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