A rapid, sensitive and selective ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method was developed and validated for the determination of febuxostat in dog plasma. Using paclitaxel as an internal standard (IS), a simple liquid-liquid extraction method with ethyl acetate was adopted for plasma sample pretreatment. Separation was carried out on an Acquity UPLC BEH C(18) column with a mobile phase consisting of acetonitrile and water (containing 0.2% formic acid). The assay was linear in the concentration ranged from 5 to 5000 ng/mL with a lower limit of quantification of 5 ng/mL for febuxostat. The single run analysis was as short as 2.0 min. Finally, the developed method was successfully applied to the pharmacokinetic study of febuxostat tablets following oral administration at a single dose of 40 mg in beagle dogs.
Despite researchers having averred that big data analytics (BDA) transforms firms' ways of doing business, knowledge about operationalizing these technologies in organizations to achieve strategic objectives is lacking. Moreover, organizations' great appetite for big data and limited empirical proof of whether BDA impacts organizations' transformational capacity poses a need for further empirical investigation. Therefore, this study explores the association between big data analytics management capabilities (BDAMC) and innovation performance via dynamic capabilities (DC), by applying the PLS-SEM technique to analyzing the feedback of 149 firms. Consequently, we ground our arguments on dynamic capability and social capital theory rather than a resource-based view that does not provide suitable explanations for the deployment of resources to adapt to change. Accordingly, we advance this research stream by finding that BDAMC significantly enhances innovation performance through DC. We also extend the literature by disclosing how BDAMC strengthens DC via strategic alignment and social capital.
The direct influence of digital platforms on organizational efficiency, financial performance, and strategy attracts the close attention of researchers. The complex mechanisms and pathways of digital platforms on transformation capacity, however, are still unclear at the global and Asia Pacific levels. Drawing on dynamic capability theory, we empirically explore how digital platforms augment organizational innovation performance. We advance the current literature on digital platforms by finding that digital platform capability boosts an organization’s dynamism and innovation performance. Furthermore, we extend the literature by revealing that, indirectly, innovation capability and strategic alignment have a substantial influence over digital platform capability and innovation performance. Finally, the study formulates a conceptual model from a dynamic capability perspective, rather than from a resource-based view, and test it using the responses collected from 153 Pakistani manufacturing firms.
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