Deconstructing Information Sharing

Information sharing between actors working in different institutions, is proposed by much literature to improve aspects of both intra- and interinstitutional performance. However, it is unclear from the literature what exactly information sharing is and why it is important to institutional performance. This paper seeks to deconstruct the concept of information sharing, particularly within aspects of the supply chain. We shall argue that the central problem with the concept of information sharing is that it relies on a notion of information as stuff that can be manipulated, transmitted, and used in an unproblematic manner between organizations. We wish to question conventional notions of this construct by examining and analyzing a case of information sharing, applicable within an international supply chain, as well as several problems experienced with such sharing. Through deconstructing this case we demonstrate how certain perceived problems in information sharing are better conceptualized as breakdowns in the interinstitutional scaffolding of data structures

Mitigating effect of metformin on polycystic ovarian syndrome and insulin resistance in rats, and the mechanisms involved

Purpose: To study the effect of metformin on polycystic ovarian syndrome (PCOS) and insulin resistance (IR) in rats, and the mechanism involved.Methods: Eighty healthy female SD rats, aged 6 weeks, were selected. Three groups of rats were used: model, metformin + PI3K inhibitor, and metformin groups, with 20/group. Testosterone, leutenizing hormone (LH), and follicle-stimulating hormone (FSH) were assayed by enzyme-linkedassay (ELISA), while HOMA-IR was calculated from fasting blood sugar (FBG); the effect of metformin on the IR of PCOS rats was determined. The expressions of PI3K and AKT in ovaries and liver of rats in each group were assayed by Western blotting.Results: Fasting blood glucose, fasting insulin, and insulin resistance index were markedly higher in model than in control rats, and also significantly higher in inhibitor-treated rats than in metformin rats (p < 0.05). Relative to control, FSH level was higher, while levels of LH, LH/FSH ratio and testosterone in the metformin group were significantly lower (p < 0.05). The expression levels of PI3K and AKT in the ovary and liver were reduced in the inhibitor group, relative to the levels in metformin-treated rats (p < 0.05).Conclusion: Metformin mitigates PCOS-linked ovarian changes and IR in rats via PI3K/AKT route. These findings may be useful in the design of new drugs. Keywords: Metformin, Polycystic ovary syndrome, Leutenizing hormone, Insulin resistance, Fasting blood sugar, Follicle-stimulating hormon

Making sense of blockchain technology: How will it transform supply chains?

This research uses sensemaking theory to explore how emerging blockchain technology may transform supply chains. We investigate three research questions (RQs): What are blockchain technology’s perceived benefits to supply chains, where are disruptions mostly likely to occur and what are the potential challenges to further blockchain diffusion? We conducted in-depth interviews with 14 supply chain experts. Cognitive mapping and narrative analysis were deployed as the two main data analysis techniques to aid our understanding and evaluation of people’s cognitive complexity in making sense of blockchain technology. We found that individual experts developed different cognitive structures within their own sensemaking processes. After merging individual cognitive maps into a strategic map, we identified several themes and central concepts that then allowed us to explore potential answers to the three RQs. Our study is among the very few to date to explicitly explore how blockchains may transform supply chain practices. Using the sensemaking approach afforded a deeper understanding of how senior executives diagnose the symptoms evident from blockchains and develop assumptions, expectations and knowledge of the technology, which will then shape their future actions regarding its utilisation. We demonstrate the usefulness of sensemaking theory as an alternative lens in investigating contemporary supply chain phenomena such as blockchains. Bringing sensemaking theory to this discipline in particular enriches emerging behavioural operations research. Our contributions also lie in extending the theories of prospective sensemaking and adding further insights to the stream of technology adoption studies