A universal global measure of univariate and bivariate data utility for anonymised microdata

A universal global measure of univariate and bivariate data utility for anonymised microdata. This paper presents a new global data utility measure, based on a benchmarking approach. Data utility measures assess the utility of anonymised microdata by measuring changes in distributions and their impact on bias, variance and other statistics derived from the data. Most existing data utility measures have significant shortcomings – that is, they are limited to continuous variables, to univariate utility assessment, or to local information loss measurements. Several solutions are presented in the proposed global data utility model. It combines univariate and bivariate data utility measures, which calculate information loss using various statistical tests and association measures, such as two-sample Kolmogorov–Smirnov test, chi-squared test (Cramer’s V), ANOVA F test (eta squared), Kruskal-Wallis H test (epsilon squared), Spearman coefficient (rho) and Pearson correlation coefficient (r). The model is universal, since it also includes new local utility measures for global recoding and variable removal data reduction approaches, and it can be used for data protected with all common masking methods and techniques, from data reduction and data perturbation to generation of synthetic data and sampling. At the bivariate level, the model includes all required data analysis steps: assumptions for statistical tests, statistical significance of the association, direction of the association and strength of the association (size effect). Since the model should be executed automatically with statistical software code or a package, our aim was to allow all steps to be done with no additional user input. For this reason, we propose approaches to automatically establish the direction of the association between two variables using test-reported standardised residuals and sums of squares between groups. Although the model is a global data utility model, individual local univariate and bivariate utility can still be assessed for different types of variables, as well as for both normal and non-normal distributions. The next important step in global data utility assessment would be to develop either program code or an R statistical software package for measuring data utility, and to establish the relationship between univariate, bivariate and multivariate data utility of anonymised data

Sustainability in fashion supply chains: Examining the dynamics of small and medium enterprise sustainability in fashion industry multitier supply chains

Sustainability in supply chain management (SSCM) has become established in both academia and increasingly in practice (Fraser, Müller and Schwarzkopf, 2020). As stakeholders continue to require organisations to take more responsibility for their entire supply chains, this has led to the development of multitier SSCM. Despite small and medium enterprises’ (SMEs’) pivotal impact on the global economy, environmental and social responsibility commitments and SSCM have been largely overlooked (Chow et al., 2017). Little attention has been paid to the convergence of sustainability dimensions in SMEs. This thesis examines how sustainability-inspired SMEs in the fashion industry in Scotland implement sustainability and diffuse sustainability across the diverse supply chain. This leads to an investigation of the factors that influence sustainability practices along the supply chain and practices adopted to verify sustainability in the supply chain, with an overall view to improving multidimensional performance. This research adopts an exploratory multiple case study approach that combines multiple data sources: semi-structured interviews, observation, and secondary data analysis. The empirical study includes two SME fashion retailers registered in Scotland and their respective supply chain partners. This thesis contributes to SSCM research in SMEs by exploring from both the conceptual and empirical points of view, investigating fashion SMEs’ sustainability and SSCM and developing a conceptual sustainability performance rating model. This conceptual model uses multidimensional sustainability measurement criteria derived from the literature to determine sustainability performance levels from the farm to the retailer. Evaluation of the supply chain is likely to aid supplier selection, sustainability comparison and transparency. The investigated fashion SMEs and their supply chains are used to exemplify the usefulness of the proposed conceptual sustainability performance model. Based on the supply chains investigated, both retailers’ sustainability performances are similar, while one supply chain outperformed the other. In addition, the research findings show that SME retailers face the greatest challenge in managing supply chain sustainability, while the most influential suppliers can develop creative approaches to diffuse sustainability within the supply chain. This thesis suggests that there is considerable need for further qualitative research and the proposed model perhaps needs to be implemented in various business models to evaluate its validity

Towards sustainable development : a business management perspective on "greening" in the Korean chemical industry

The term, sustainable development, is not new in our society. However, understanding the concept of sustainable development is not without problems. What does the concept mean in business and management? It is observed that ecological issues are neglected by mainstream management academics and practices. Conventional strategic management and organisational study do not include the "green" ecological environment issues as part of business environment. If "green" ecological environment is a part of the business environment, how do decision makers, especially top level managers, perceive green issues in the business environment and how are these perceptions related to strategic management issues? This research focuses on answering the question by studying how top executives in the Korean chemical industry perceive the uncertainty caused by ecological issues and influence the effectiveness of implementation of corporate environmental management based upon Miles and Snow's (1978) strategic typology of corporate responses. The research employs three different methods, the questionnaire, the interview and the case study for data collection. These research methods are used to identify the levels of uncertainty which result from green issues in business environment, and the link between uncertainty and strategic management issues. The findings from this research show that top managers selectively perceive green issues in the business environment. Thus, business organisations seek to create their own environment to match with their strategy rather than be controlled by their environment. The findings support the "strategic choice" view by Child (1972) and Miles and Snow (1978). Selective strategic choice based upon top managers' perceptions produces different types of corporate environmental strategy which range from the reactive to the proactive

HIV and adolescents: focus on young key populations

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/138345/1/jia20076.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/138345/2/jia20076-sup-0001.pd

Essays on Health Information Technology: Insights from Analyses of Big Datasets

The current dissertation provides an examination of health information technology (HIT) by analyzing big datasets. It contains two separate essays focused on: (1) the evolving intellectual structure of the healthcare informatics (HI) and healthcare IT (HIT) scholarly communities, and (2) the impact of social support exchange embedded in social interactions on health promotion outcomes associated with online health community use. Overall, this dissertation extends current theories by applying a unique combination of methods (natural language processing, machine learning, social network analysis, and structural equation modeling etc.) to the analyses of primary datasets. The goal of the first study is to obtain a full understanding of the underlying dynamics of the intellectual structures of HI and its sub-discipline HIT. Using multiple statistical methods including citation and co-citation analysis, social network analysis (SNA), and latent semantic analysis (LSA), this essay shows how HIT research has emerged in IS journals and distinguished itself from the larger HI context. The research themes, intellectual leadership, cohesion of these themes and networks of researchers, and journal presence revealed in our longitudinal intellectual structure analyses foretell how, in particular, these HI and HIT fields have evolved to date and also how they could evolve in the future. Our findings identify which research streams are central (versus peripheral) and which are cohesive (as opposed to disparate). Suggestions for vibrant areas of future research emerge from our analysis. The second part of the dissertation focuses on comprehensively understanding the effect of social support exchange in online health communities on individual members’ health promotion outcomes. This study examines the effectiveness of online consumer-to-consumer social support exchange on health promotion outcomes via analyses of big health data. Based on previous research, we propose a conceptual framework which integrates social capital theory and social support theory in the context of online health communities and test it through a quantitative field study and multiple analyses of a big online health community dataset. Specifically, natural language processing and machine learning techniques are utilized to automate content analysis of digital trace data. This research not only extends current theories of social support exchange in online health communities, but also sheds light on the design and management of such communities

On humor and healing: a qualitative analysis of expressions of humor in therapy with clients who have experienced trauma

From a positive psychology perspective, humor can be viewed as an adaptive strength, an important aspect of holistic health, and a potentially beneficial coping mechanism in the face of stressful or traumatic events. Existing research generally supports the idea that individuals can manage threatening situations by turning them into something that can be laughed at, although the effectiveness of such humor use is dependent on contextual factors and the specific forms of humor that are used (e.g., aggressive versus benign humor). However, there is minimal research on how trauma survivors actually express humor in therapy, particularly in the context of difficult or traumatic subject matter. Accordingly, the purpose of the current study was to qualitatively explore expressions of humor in therapy with trauma survivors. A sample of 5 client-participants from community counseling centers was selected, and videotaped therapy sessions involving trauma discussions for each client-participant were analyzed. A qualitative and deductive content analysis was employed, using a coding system that was created based on existing literature on humor and psychology, to examine verbal expressions of humor and laughter in psychotherapy sessions with trauma survivors. The results indicated that client-participants deliberately used and responded to humor both verbally and in the form of laughter in psychotherapy sessions, and most frequently in the context of serious, difficult, or traumatic topics. Client verbal expressions of humor (VEH) frequently consisted of different combinations of Dark, Aggressive, and/or Self-Deprecatory Humor. Client-participants were also found to laugh almost twice as often as they produced a VEH, and their therapists laughed along with them about half the time. Last, therapists often laughed inappropriately and outside the context of any identifiable humor (VEH or laughter) in their work with trauma survivors. It is hoped that this study will raise awareness around the issue of client humor use in therapy, humor use in coping with stressful or traumatic events, and cultural variations in humor use. The findings have implications for clinical training and shed light on the use of potentially maladaptive forms of humor in therapy, an area of study that has been almost entirely neglected

Virtual world commerce adoption (VWCA) : a case study of second life investigating the impacts of perceived affordances, trust, and need satisfaction

Virtual worlds are computer-simulated worlds in which multi-players can simultaneously interact in a rich graphical environment. The development of virtual worlds, along with the massive growth of users, creates opportunities for business organizations. This dissertation involves many studies regarding virtual world adoption in business by virtual consumers. Most of the research in Information Systems (IS) was conducted investigating factors influencing technology adoption, such as ease of use and usefulness, subjective norms and behavioral controls, self-efficacy, performance and effort expectancy, flow, etc. However, most of these research studies focused neither on design aspects related to affordances nor users\u27 goal-oriented behaviors, such as need satisfaction. This dissertation examines the effect of affordances, referring to a property of an object, animal, or environment that affords, or makes available certain actions. Particularly, this dissertation investigates the users\u27 perceived affordance of virtual products and environments, in which business transactions take place. In addition, relationship-based trust and need satisfaction are considered as crucial determinants of virtual world commerce adoption in this dissertation. There are three studies that were conducted in Second Life in this dissertation, which are two preliminary studies and a main study. The preliminary studies use multiple data collection methods, including user interviews, documentation, direct observations, and questionnaire surveys. The results of the preliminary studies suggest that trust, social influence, system security, system quality, and service quality are vital for users when they make purchase decisions. The initial measurement model containing valid and reliable measurement scales of the main research constructs was proposed. The main study, using a revised questionnaire survey from the preliminary studies, was conducted to develop the conceptual framework of Virtual World Commerce Adoption (VWCA). Covariance-based and PLS-based path analyses were employed based on the data obtained from the participants who have different experience levels with online business transactions. The final results show a significant relationship between perceived affordances and intention to purchase products in the virtual world. This relationship is mediated by need satisfaction. However, the mediating effect of relationship-based trust is not significant. This is due to more concern about trust related to technical aspects of the system rather than trust from social exchange process

The Impact of Place-Based Services on Child Maltreatment: Evaluation Through Big Data Linkage and Analytics

There is a clear evidence that place is one factor associated with rates of child maltreatment and that rates of child abuse differ between different neighbourhoods and communities. Although there are few place-based initiatives (PBIs) focused specifically on child maltreatment, there is an increasing policy and research interest on PBIs that address a range of problems for children and families in disadvantaged communities. Evaluating the effectiveness of these initiatives is extremely challenging, both methodologically and ethically, but one potential way forward is to use linked administrative data to track outcomes of children and families. This chapter discusses the opportunities and challenges for the use of administrative data linkage in the evaluation of PBIs. The chapter is informed by interviews with 12 Australian experts on the use of ‘big data’ in public policy