An Empirical Investigation of Internet Privacy: Customer Behaviour, Companies’ Privacy Policy Disclosures, and a Gap

Privacy emerges as a critical issue in an e-commerce environment because of a fundamental tension among corporate, consumer, and government interests. By reviewing prior Internet-privacy research in the fields of information systems, business, and marketing published between 1995 and 2006, we consider the following research questions: 1) how an individual’s privacy behaviour is affected by privacy policy disclosures and by the level of the individual’s involvement regarding the sensitivity of personal information; 2) how companies’ privacy policies vary with respect to regulatory approaches and cultural values; and 3) whether there is a gap between the privacy practices valued by individuals and those emphasized by companies. A three-stage study is conducted to answer these questions. The first two stages, consisting of a Web-based survey and an online ordering experiment with 210 participants, found that individuals are more likely to read the privacy policy statements posted on Web sites and less likely to provide personal information, when they are under a high privacy involved situation as compared to being in a low privacy involved situation. However, the existence of a privacy seal did not affect individuals’ behaviour, regardless of involvement conditions. This study also found a gap between self-reported privacy behaviour and actual privacy behaviour. When individuals were requested to provide personal information, their privacy policy statement reading behaviour was close to their self-report behaviour. However, their personal information providing behaviour was different from their self-reported behaviour. The third stage, which entailed the study of 420 privacy policies spanning six countries and two industries, showed that privacy policies vary across countries, as well as with varying governmental involvement and cultural values in those countries. Finally, the analysis of all the three stages revealed a gap between individuals’ importance ratings of companies’ privacy practices and policies that companies emphasize in their privacy disclosures

Discrepancies in Hospital Financial Information: Comparison of Financial Data in State Data Repositories and the Healthcare Cost Reporting Information System

High-quality financial data are important to stakeholders in the healthcare sector but are difficult to obtain. The two data sources most often used are hospital financial statements (HFSs) and Medicare Cost Reports (MCRs). Applying an analytical framework of data information quality dimensions, we compare a sample of 34,728 instances of 12 financial statement items extracted from HFSs and MCRs filed from 2007 through 2011. Our comparison shows a nontrivial frequency of missing items, widespread discrepancies across financial items, and a materiality of discrepancies that is significant in both sources. We also find many avoidable computational errors and significant absolute relative discrepancies between the sources. Additionally, we perform replications of two prior studies to test the believability of HFS and MCR data. Although we cannot conclude which source is more accurate, we do alert users of hospital financial data to the comparative potentials and limitations of these two major sources

US cities’ buy-green schemes reduce their environmental liabilities and costs

Researchers suggest five actions they should take to increase their success rate - by Nicole Darnall, Justin Stritch, Stuart Bretschneider, Lily Hsueh, and Won N

Health care co-operatives in South Korea : an effective alternative to the health care system in the future?

textSouth Korea has been evaluated as having the weakest primary care system. In South Korea, the health care delivery system is concentrated too heavily in the private sector. Increased concern on keeping one’s health and reducing the burden of health care costs led community members to gather and form health care co-operatives. Currently, 19 health care co-operatives have been established through residents’ participation and even more are preparing to be incorporated. As a nonprofit organization, a health care co-operative is a voluntarily established co-operative organization that tries to solve health, medical, and life problems in communities. This report examines how these health care co-operatives work in the health care system, whether they can be effective alternatives to a future health care system in South Korea, and finally the report provides recommendations. Given the fact that the nation already has national health insurance, health care co-operatives in South Korea mainly operate several clinics by focusing more on managing chronic diseases and increasing access to care, rather than developing affordable health care insurance or lobbying in policy sectors as they do in other countries. Health care co-operatives’ motivation is to keep people healthy; hence, they put a great deal of effort into delivering primary care and helping patients deal with chronic diseases. Health care co-operatives are encouraging because of their democratic structure. Health care co-operatives emphasize the idea that the owners of the health care co-operatives are in fact the members. The overall satisfaction of users in the current health care cooperatives is moderately high. Taking the lessons from the examples of health co-operatives in other countries, health care co-operatives should be able to function as a good complementary to the health care system.Public Affair

Iterative Soft Decoding Algorithm for DNA Storage Using Quality Score and Redecoding

Ever since deoxyribonucleic acid (DNA) was considered as a next-generation data-storage medium, lots of research efforts have been made to correct errors occurred during the synthesis, storage, and sequencing processes using error correcting codes (ECCs). Previous works on recovering the data from the sequenced DNA pool with errors have utilized hard decoding algorithms based on a majority decision rule. To improve the correction capability of ECCs and robustness of the DNA storage system, we propose a new iterative soft decoding algorithm, where soft information is obtained from FASTQ files and channel statistics. In particular, we propose a new formula for log-likelihood ratio (LLR) calculation using quality scores (Q-scores) and a redecoding method which may be suitable for the error correction and detection in the DNA sequencing area. Based on the widely adopted encoding scheme of the fountain code structure proposed by Erlich et al., we use three different sets of sequenced data to show consistency for the performance evaluation. The proposed soft decoding algorithm gives 2.3% ~ 7.0% improvement of the reading number reduction compared to the state-of-the-art decoding method and it is shown that it can deal with erroneous sequenced oligo reads with insertion and deletion errors