Includes bibliographical references (p. 65-69).

Thesis (Ph. D.)--University of Hong Kong, 1983. / Also availalbe in microfilm.

Thesis (M. Soc. Sc.)--University of Hong Kong, 1980.

Thesis (M. Soc. Sc.)--University of Hong Kong, 1984.

M. Tech. Business Information Systems / Today, and in the past few years, organizations have supported and continue to support their business strategies by enabling technology based Information Systems, that enhance their business processes. Information Systems has become an essential tool to enable real time decision making, monitoring, planning and thus supports organizations to be more competitive, by improving productivity and reducing costs. Organizations are facing lots of challenges during Information Systems projects which cost them dearly. There are many factors that influence Information Systems projects and these factors must not be ignored. The research argument driving this dissertation is that if these factors are identified, understood and considered, organizations may leverage the challenges currently experienced. This dissertation is about describing and analysing factors that influence Information Systems projects. If understood, these factors can be used to minimize failures in Information Systems development projects

published_or_final_version / toc / Industrial and Manufacturing Systems Engineering / Master / Master of Philosophy

There is a marked trend of using information technologies to improve healthcare. Among all the health IT, electronic health record (EHR) systems hold great promises as they modernize the paradigm and practice of care provision. However, empirical studies in the literature found mixed evidence on whether EHRs improve quality of care. I posit two explanations for the mixed evidence. First, most prior studies failed to account for system use and only focused on EHR purchase or adoption. Second, most existing EHR systems provide inadequate clinical decision support and hence, fail to reveal the full potential of digital health. In this dissertation I address two broad research questions: a) Does meaningful use of EHRs improve quality of care? and b) How do we advance clinical decision making through innovative computational techniques of healthcare analytics? To these ends, the dissertation comprises four essays. The first essay examines whether meaningful use of EHRs improve quality of care through a natural experiment. I found that meaningful use significantly improve quality of care, and this effect is greater in historically disadvantaged hospitals such as small, non-teaching, or rural hospitals. These empirical findings present salient practical and policy implications about the role of health IT. On the other hand, in the other three essays I work with real-world EHR data sets and propose healthcare analytics frameworks and methods to better utilize clinical text (Essay II), integrate clinical guidelines and EHR data for risk prediction (Essay III), and develop a principled approach for multifaceted risk profiling (Essay IV). Models, frameworks, and design principles proposed in these essays advance not only health IT research, but also more broadly contribute to business analytics, design science, and predictive modeling research.

Nations are becoming increasingly sensitive about securing their borders, leading border security organizations to investigate systems designed to detect deception through linguistic analysis. As research about linguistic deception still has resulted in competing hypotheses, this dissertation uses a design science, information systems approach to build a system that synthesizes research on the linguistics of deception. It also performs a systematic review and meta-analysis to provide information about linguistics of deception to border security organizations. This dissertation outlines features that should be included in collaborative meta-analysis tools: process restriction, task organization, information sharing, task coordination, terminology definition, and simple interfaces. These features are discussed and implemented in a new system www.OrionShoulders.com. Through a systematic review and a behavioral experiment on linguistic of deception using the new system, this dissertation identified seven behavioral and cognitive constructs that could be measured through linguistics during deception: cognitive load, event recollection, guilt, credibility portrayal, distancing, dominant behavior, and hedging. This dissertation contributes a theoretical model that explains these seven constructs and how they are measured. The results of the systematic review and the behavioral experiment showed that hedging terms, first-person pronouns, negative emotion, generalizing terms, and the quantity of words were significantly correlated with deception.

No description available.

Advances in information technology have amplified issues related to privacy and the disclosure of personal information. New technologies have enabled an explosion in the amount and variety of information created, stored, and potentially shared about people, and there has been a corresponding explosion in privacy-related concerns and conversations in academic and non-academic forums. This dissertation contributes to one such conversation, adding to our understanding of the mechanisms that shape individuals' privacy concerns in the context of disclosure of personal information. Individuals must overcome their information privacy concerns in order for personal information disclosure to take place, but the mechanisms surrounding this process are highly dependent on the context of disclosure. Accordingly, this research seeks to build understanding around the ways in which privacy concerns are mitigated or counterbalanced in three different disclosure contexts. Essay 1, positioned in the e-commerce context, contributes uniquely to an emerging stream of disclosure research that considers irrationality within the privacy disclosure decision process. Essay 2 is focused on a less frequently examined disclosure context - online social networks - and examines the tension between individuals' privacy concerns and their desire for social benefits and personal expression, focusing especially on the social network technology's ability to support impression management behavior. Finally, Essay 3 examines the mitigation of privacy concerns in the context of involuntary disclosure - increasingly common in the modern online environment - wherein the primary goal is to reduce concerns or anxiety regarding the information already disclosed. In comparing disclosure processes across these contexts, this research provides insights regarding consistencies and distinctions among the different domains. Insights gained, both within and across these contexts, are valuable to both privacy researchers and professional stakeholders.