A Cross-National Study of Apparel Consumers’ Preferences and the Role of Product Evaluative Cues

Purpose: The purpose of this paper is to investigate and identify the salient effects of apparel evaluative cues in order to enrich our understanding of consumer preferences and behaviour in two different socio-cultural contexts – Canada from the west and China of the east. Design/methodology/approach: Online and paper questionnaires were used to collect data from Canada and China. Based on the prior research, 14 hypotheses were developed, and SPSS statistical analysis were used for this study. Findings: According to our findings, Canadian and Chinese participants used price as an indicator of product quality and/or monetary sacrifice. Overall, the consumers from both countries were more concerned about the garment fit and style than brand name and country of origin. It is imperative for fashion practitioners to prioritize their resources and focus more on product research/design and prototype development. Fit, comfort and fabric were strongly correlated except in the “fit and comfort” of Canadian sample. In addition, durability, ease of care and wardrobe coordination play a relatively less significant clothing evaluative role than many other product cues for both Chinese and Canadian consumers. Originality/value: It is imperative for multi-national companies to understand their consumers’ needs and aspirations in this fast-changing socio-cultural milieu. However, there are relatively few research studies have focused on apparel consumer behaviour, and the salient impact of product evaluative cues – particularly from a cross-national perspective. This study covers a wide array of important evaluative cues, and provides meaningful insights and current information to both fashion academicians and practitioners. This is one of the few studies provide an in-depth and comprehensive report on the role and effects of apparel product cues. Keywords: consumer behaviour, clothing, product cues, China, Canada, cross-cultural study Paper type: Research pape

A Study of Apparel Consumer Behaviour in China and Taiwan

To understand consumer behaviour and preferences for apparel shopping in Asia, the current study was undertaken to investigate the following three topics in China and Taiwan: online and offline shopping behaviours, product evaluative criteria and fashion information sources. Data was collected through questionnaire surveys carried out in mainland China and Taiwan. According to the results of this study, both Chinese and Taiwanese women shopped more frequently than men. Chinese consumers shopped more frequently online than did their Taiwanese counterparts. Both Chinese and Taiwanese consumers cited “fit” and “comfort” as the two most important evaluative criteria for clothing, while “brand name’ and “country of origin” were the least important cues. Both Chinese and Taiwanese participants cited “friends” to be their most important fashion information sources, with “siblings” and “parents” being the two least important sources

Security of data science and data science for security

In this chapter, we present a brief overview of important topics regarding the connection of data science and security. In the first part, we focus on the security of data science and discuss a selection of security aspects that data scientists should consider to make their services and products more secure. In the second part about security for data science, we switch sides and present some applications where data science plays a critical role in pushing the state-of-the-art in securing information systems. This includes a detailed look at the potential and challenges of applying machine learning to the problem of detecting obfuscated JavaScripts

De-identifying a public use microdata file from the Canadian national discharge abstract database

<p>Abstract</p> <p>Background</p> <p>The Canadian Institute for Health Information (CIHI) collects hospital discharge abstract data (DAD) from Canadian provinces and territories. There are many demands for the disclosure of this data for research and analysis to inform policy making. To expedite the disclosure of data for some of these purposes, the construction of a DAD public use microdata file (PUMF) was considered. Such purposes include: confirming some published results, providing broader feedback to CIHI to improve data quality, training students and fellows, providing an easily accessible data set for researchers to prepare for analyses on the full DAD data set, and serve as a large health data set for computer scientists and statisticians to evaluate analysis and data mining techniques. The objective of this study was to measure the probability of re-identification for records in a PUMF, and to de-identify a national DAD PUMF consisting of 10% of records.</p> <p>Methods</p> <p>Plausible attacks on a PUMF were evaluated. Based on these attacks, the 2008-2009 national DAD was de-identified. A new algorithm was developed to minimize the amount of suppression while maximizing the precision of the data. The acceptable threshold for the probability of correct re-identification of a record was set at between 0.04 and 0.05. Information loss was measured in terms of the extent of suppression and entropy.</p> <p>Results</p> <p>Two different PUMF files were produced, one with geographic information, and one with no geographic information but more clinical information. At a threshold of 0.05, the maximum proportion of records with the diagnosis code suppressed was 20%, but these suppressions represented only 8-9% of all values in the DAD. Our suppression algorithm has less information loss than a more traditional approach to suppression. Smaller regions, patients with longer stays, and age groups that are infrequently admitted to hospitals tend to be the ones with the highest rates of suppression.</p> <p>Conclusions</p> <p>The strategies we used to maximize data utility and minimize information loss can result in a PUMF that would be useful for the specific purposes noted earlier. However, to create a more detailed file with less information loss suitable for more complex health services research, the risk would need to be mitigated by requiring the data recipient to commit to a data sharing agreement.</p

A Systematic Review of Re-Identification Attacks on Health Data

Privacy legislation in most jurisdictions allows the disclosure of health data for secondary purposes without patient consent if it is de-identified. Some recent articles in the medical, legal, and computer science literature have argued that de-identification methods do not provide sufficient protection because they are easy to reverse. Should this be the case, it would have significant and important implications on how health information is disclosed, including: (a) potentially limiting its availability for secondary purposes such as research, and (b) resulting in more identifiable health information being disclosed. Our objectives in this systematic review were to: (a) characterize known re-identification attacks on health data and contrast that to re-identification attacks on other kinds of data, (b) compute the overall proportion of records that have been correctly re-identified in these attacks, and (c) assess whether these demonstrate weaknesses in current de-identification methods.Searches were conducted in IEEE Xplore, ACM Digital Library, and PubMed. After screening, fourteen eligible articles representing distinct attacks were identified. On average, approximately a quarter of the records were re-identified across all studies (0.26 with 95% CI 0.046-0.478) and 0.34 for attacks on health data (95% CI 0-0.744). There was considerable uncertainty around the proportions as evidenced by the wide confidence intervals, and the mean proportion of records re-identified was sensitive to unpublished studies. Two of fourteen attacks were performed with data that was de-identified using existing standards. Only one of these attacks was on health data, which resulted in a success rate of 0.00013.The current evidence shows a high re-identification rate but is dominated by small-scale studies on data that was not de-identified according to existing standards. This evidence is insufficient to draw conclusions about the efficacy of de-identification methods

COSMIC (Cohort Studies of Memory in an International Consortium): An international consortium to identify risk and protective factors and biomarkers of cognitive ageing and dementia in diverse ethnic and sociocultural groups

Background: A large number of longitudinal studies of population-based ageing cohorts are in progress internationally, but the insights from these studies into the risk and protective factors for cognitive ageing and conditions like mild cognitive impairment and dementia have been inconsistent. Some of the problems confounding this research can be reduced by harmonising and pooling data across studies. COSMIC (Cohort Studies of Memory in an International Consortium) aims to harmonise data from international cohort studies of cognitive ageing, in order to better understand the determinants of cognitive ageing and neurocognitive disorders.Methods/Design: Longitudinal studies of cognitive ageing and dementia with at least 500 individuals aged 60 years or over are eligible and invited to be members of COSMIC. There are currently 17 member studies, from regions that include Asia, Australia, Europe, and North America. A Research Steering Committee has been established, two meetings of study leaders held, and a website developed. The initial attempts at harmonising key variables like neuropsychological test scores are in progress.Discussion: The challenges of international consortia like COSMIC include efficient communication among members, extended use of resources, and data harmonisation. Successful harmonisation will facilitate projects investigating rates of cognitive decline, risk and protective factors for mild cognitive impairment, and biomarkers of mild cognitive impairment and dementia. Extended implications of COSMIC could include standardised ways of collecting and reporting data, and a rich cognitive ageing database being made available to other researchers. COSMIC could potentially transform our understanding of the epidemiology of cognitive ageing, and have a world-wide impact on promoting successful ageing. © 2013 Sachdev et al.; licensee BioMed Central Ltd