Reward-Based Crowdfunding Research and Practice

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Biochemical and histopathological correlation in liver transplant: The first 180 days

It is not known whether the histopathology of the liver allograft can be predicted from biochemical measurements in serum with the same confidence as in the native liver. To answer this question we compared the histopathological diagnoses in 170 biopsy specimens from 70 adult transplant recipients obtained during the first 180 days, with the concentrations of the serum bilirubin and the activities of AST, ALT and alkaline phosphatase measured at the same time. The most frequent diagnosis was cholestasis (n = 45), which was mild, moderate or severe and which may have been complicated by rejection (n = 28) or ischemia (n = 14). Hepatitis (n = 14), ischemia with rejection (n = 6) and spotty focal necrosis (n = 6) were diagnosed less frequently. Fifteen biopsy specimens were reported as histopathologically normal. In general, biochemical measurements discriminated poorly between different histopathological diagnoses. The histopathologically normal liver often showed an abnormal pattern of enzymes and an increase in the serum bilirubin level. As a result histopathologically normal biopsy specimens were indistinguishable biochemically from those with hepatitis. When two pathological conditions were found to coexist (e.g., cholestasis with either rejection or ischemic necrosis, or ischemic necrosis with rejection), the effect on the serum biochemistry was usually not additive and in some instances returned the biochemical abnormalities toward normal. With the exception of the serum bilirubin level, which increased with the severity of uncomplicated cholestasis, we could not identify a specific pattern of biochemical changes corresponding to a given histopathological diagnosis. We suggest that until more specific noninvasive methods of monitoring the transplanted liver are developed protocol liver biopsies offer the best means of identifying significant pathological conditions in liver allografts. (H EPATOLOGY 1992;16:688–693.)Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/38382/1/1840160312_ftp.pd

Donation Crowdfunding : Principles and Donor Behaviour

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Assessing Order Effects in Online Community-based Health Forums

Measuring the quality of health content in online health forums is a challenging task. The majority of the existing measures are based on evaluations of forum users and may not be reliable. We employed machine learning techniques, text mining methods, and Big Data platforms to construct four measures of textual quality to automatically determine the similarity of a given answer to professional answers. We then used them to assess the quality of 66,888 answers posted on Yahoo! Answers Health section. All four measures of textual quality revealed a higher quality for asker-selected best answers indicating that askers, to some extent, have a proper judgment to select the best answers. We also studied the presence of order effects in online health forums. Our results suggest that the textual quality of the first answer positively influences the mean textual quality of the subsequent answers and negatively influences the quantity of subsequent answers

Advances in Social Media Research:Past, Present and Future

Social media comprises communication websites that facilitate relationship forming between users from diverse backgrounds, resulting in a rich social structure. User generated content encourages inquiry and decision-making. Given the relevance of social media to various stakeholders, it has received significant attention from researchers of various fields, including information systems. There exists no comprehensive review that integrates and synthesises the findings of literature on social media. This study discusses the findings of 132 papers (in selected IS journals) on social media and social networking published between 1997 and 2017. Most papers reviewed here examine the behavioural side of social media, investigate the aspect of reviews and recommendations, and study its integration for organizational purposes. Furthermore, many studies have investigated the viability of online communities/social media as a marketing medium, while others have explored various aspects of social media, including the risks associated with its use, the value that it creates, and the negative stigma attached to it within workplaces. The use of social media for information sharing during critical events as well as for seeking and/or rendering help has also been investigated in prior research. Other contexts include political and public administration, and the comparison between traditional and social media. Overall, our study identifies multiple emergent themes in the existing corpus, thereby furthering our understanding of advances in social media research. The integrated view of the extant literature that our study presents can help avoid duplication by future researchers, whilst offering fruitful lines of enquiry to help shape research for this emerging field

Addressing information asymmetries in online peer-to-peer lending

Digital technologies are transforming how small businesses access finance and from whom. This chapter explores online peer-to-peer (P2P) lending, a form of crowdfunding that connects borrowers and lenders. Information asymmetry is a key issue in online peer-to-peer lending marketplaces that can result in moral hazard or adverse selection, and ultimately impact the viability and success of individual platforms. Both online P2P lending platforms and lenders seek to minimise the impact of information asymmetries through a variety of mechanisms. This chapter discusses the structure of online P2P lending platforms and reviews how the disclosure of hard and soft information, and herding can reduce information asymmetries. The chapter concludes with a discussion of further avenues for research