How finance shared services affect profitability: an IT business value perspective.

Shared services have become an important IT-enabled organizational form for providing support business functions to internal users. The information systems that implement and deliver shared services are part of the organizational IT infrastructure that has a twofold effect on firm financial performance. On the one hand, with the shared services model, the IT infrastructure consolidates so that the costs are lowered for providing the common functions firm-wide. On the other hand, the systems delivering the shared services embody the workflow and business functions so that the value of shared services can be gained from improvements in the function performance at the process level. We perceive finance shared services as IT-enabled services for corporate finance and accounting functions, and propose that finance shared services improve firm profitability via cost savings at firm level and via increased working capital efficiency at the process level. We test our hypotheses with data on Chinese public firms from 2008 to 2019. Data analysis results show both direct effect of finance shared services on profitability and mediating effect of working capital efficiency. This study expands our understandings about impacts of shared services, and contributes to empirical research in IT business value.

Comprehensive analysis of molecular pathways and key genes involved in lumbar disc herniation.

ABSTRACT: Based on the Thompson classification of intervertebral discs (IVDs), we systematically analyzed gene expression differences between severely degenerated and mildly degenerated IVDs and explored the underlying molecular mechanisms using bioinformatics methods and multichip integration. We used multiomics analysis, includes mRNA microarray and methylation chips, to explore the genetic network and mechanisms of lumbar disc herniation (LDH). Subsequently, the Combat function of the R language SVA package was applied to eliminate heterogeneity between the gene expression data. And the protein-protein interaction (PPI) network, gene ontology (GO), and molecular pathways were used to constructs the mechanisms network. Consequently, we obtained 149 differentially expressed genes. Related molecular pathways are the following: ribosome activity, oxidative phosphorylation, extracellular matrix response. Besides, through PPI network analysis, genes with higher connectivity such as UBA52, RPLP0, RPL3, RPLP2, and RPL27 were also identified, suggesting that they play important regulatory roles in the complex network associated with LDH. Additionally, cg12556991 (RPL27) and cg06852319 (RPLP0) were found to be LDH-related candidate DNA methylation modification sites in the IVDs tissue of LDH patients. In conclusions, ribosome activity, oxidative phosphorylation, and extracellular matrix response may be potential molecular mechanisms underlying LDH, while hub genes involved in UBA52, RPLP0, RPL3, RPLP2, and RPL27, and candidate DNA methylation modification sites of cg12556991and cg06852319 are likely key regulators in the development of LDH.