+publisher:"University of Arizona" +contributor:("Brown, Susan A.")

University of Arizona

1. Chen, Yi-Da. The Dynamics of Task-related Discussion in the Pursuit of Radical Innovation: Innovation Project Teams as Interpretation Systems .

Degree: 2013, University of Arizona

URL: http://hdl.handle.net/10150/311106

► As global competition is increasingly intensified, radical innovation has become more and more important for corporations in high-velocity industries. Thanks to the advances of information… (more)

▼ As global competition is increasingly intensified, radical innovation has become more and more important for corporations in high-velocity industries. Thanks to the advances of information systems and communication media, corporations can easily reach out to experts all over the world and form project teams dedicated to the innovation effort. However, research shows that while some innovation teams are very successful in achieving significant breakthroughs, many struggle to make their collaborations work. In this dissertation, we aim to provide a comprehensive understanding of the collaboration challenges that an innovation team faces. By considering the simultaneous needs for differentiation and integration in the innovation effort and taking a communication/ interpretive perspective, we develop a theoretical model to investigate how the processes of differentiation and integration are shaped through team communication and influence an innovation team's collaboration outcomes. Specifically, we delineate four structural properties of team communication to capture these two processes - the number of issue streams explored, the number of attention switches initiated, the conceptual linkage between issue streams, and the level of deliberation after each attention switch - and identify four categories of factors that influence the development of these two processes - team composition, semi-structures, communication contexts, and communication environments. We conduct a case study as a preliminary test of our theoretical model, and find that the model provides comprehensive explanations for the collaboration dynamics and issues of these teams. We believe such a theoretical model can contribute to a better understanding of the complexity involved in an innovation project and bring fresh insights to the design of information systems for supporting an innovation team. Advisors/Committee Members: Brown, Susan A (advisor), Brown, Susan A. (committeemember), Goes, Paulo (committeemember), Galaskiewicz, Joseph (committeemember), Durcikova, Alexandra (committeemember).

Subjects/Keywords: Communication Media; Information Systems; Innovation project team; Interpretation Systems; Radical innovation; Management Information Systems; Collaboration Dynamics

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APA (6^th Edition):

Chen, Y. (2013). The Dynamics of Task-related Discussion in the Pursuit of Radical Innovation: Innovation Project Teams as Interpretation Systems . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/311106

Chicago Manual of Style (16^th Edition):

Chen, Yi-Da. “The Dynamics of Task-related Discussion in the Pursuit of Radical Innovation: Innovation Project Teams as Interpretation Systems .” 2013. Doctoral Dissertation, University of Arizona. Accessed November 21, 2019. http://hdl.handle.net/10150/311106.

MLA Handbook (7^th Edition):

Chen, Yi-Da. “The Dynamics of Task-related Discussion in the Pursuit of Radical Innovation: Innovation Project Teams as Interpretation Systems .” 2013. Web. 21 Nov 2019.

Vancouver:

Chen Y. The Dynamics of Task-related Discussion in the Pursuit of Radical Innovation: Innovation Project Teams as Interpretation Systems . [Internet] [Doctoral dissertation]. University of Arizona; 2013. [cited 2019 Nov 21]. Available from: http://hdl.handle.net/10150/311106.

Council of Science Editors:

Chen Y. The Dynamics of Task-related Discussion in the Pursuit of Radical Innovation: Innovation Project Teams as Interpretation Systems . [Doctoral Dissertation]. University of Arizona; 2013. Available from: http://hdl.handle.net/10150/311106

University of Arizona

2. Dang, Yan. Theory-Informed Design and Evaluation of Web-Based Knowledge Management Systems .

Degree: 2011, University of Arizona

URL: http://hdl.handle.net/10150/145434

► With the rapid increase in information availability, it is nearly impossible to stay current with advances in knowledge. The overarching question that my dissertation seeks… (more)

▼ With the rapid increase in information availability, it is nearly impossible to stay current with advances in knowledge. The overarching question that my dissertation seeks to address is how to design Web-based knowledge management systems (KMS) to alleviate this problem by providing search and analysis support for individuals to access and understand the accumulated knowledge in an effective and efficient way. Specifically, designing and implementing consistent representation of heterogeneous data, enabling efficient and user-friendly search support, and supporting advanced user-interactive analysis and visualization are important issues to address. Certain Information Systems and cognitive theories can be leveraged to guide the design and evaluation of these systems. In addition, the evaluation results can further validate and extend theory. This helps to bridge the design-science paradigm and the behavioral-science paradigm.The research studies in my dissertation involve the development of Web-based KMS based on different types of data sources. Such systems aim to support decision making and can be important for researchers, practitioners, business investors, and policy makers. Chapter 2 develops a Web-based KMS, Arizona Literature Mapper, which allows users to gain comprehensive understanding of bioterrorism research. The data source of Arizona Literature Mapper is scientific publications. The system integrates techniques for content analysis, network analysis, and information visualization. Two user studies were conducted to evaluate the performance of Arizona Literature Mapper. Guided by cognitive fit and cognitive load theories, Chapter 3 develops a Web-based KMS, Nano Mapper, to support users' search and analysis of nanotechnology developments. The data sources include patent documents from world leading patent offices and NSF grand documents. Controlled experiments were conducted to evaluate the functions of Nano Mapper. The Web-based KMS developed in Chapters 4 and 5 is the Dark Web Forum Portal (DWFP) which aims to manage user-generated multilingual social media content. In Chapter 4, theories of the mental workload, task-technology fit, and unified theory of acceptance and use of technology (UTAUT) are used to guide the design and development of the system, and a new theoretical model is proposed to extend theory. Chapter 5 conducts two evaluation studies to comprehensively evaluate the performance of the system. The first study compared its performance with the benchmark system based on efficiency, effectiveness, and all the dimensions in the D&M IS Success Model. The second study further tested and validated the D&M IS Success Model in social media context.Overall, these research studies in my dissertation contribute to the literature on system development, knowledge mapping, technology acceptance and adoption, and human cognition and decision making. Advisors/Committee Members: Brown, Susan A (advisor), Chen, Hsinchun (advisor), Schau, Hope J (committeemember).

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APA (6^th Edition):

Dang, Y. (2011). Theory-Informed Design and Evaluation of Web-Based Knowledge Management Systems . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/145434

Chicago Manual of Style (16^th Edition):

Dang, Yan. “Theory-Informed Design and Evaluation of Web-Based Knowledge Management Systems .” 2011. Doctoral Dissertation, University of Arizona. Accessed November 21, 2019. http://hdl.handle.net/10150/145434.

MLA Handbook (7^th Edition):

Dang, Yan. “Theory-Informed Design and Evaluation of Web-Based Knowledge Management Systems .” 2011. Web. 21 Nov 2019.

Vancouver:

Dang Y. Theory-Informed Design and Evaluation of Web-Based Knowledge Management Systems . [Internet] [Doctoral dissertation]. University of Arizona; 2011. [cited 2019 Nov 21]. Available from: http://hdl.handle.net/10150/145434.

Council of Science Editors:

Dang Y. Theory-Informed Design and Evaluation of Web-Based Knowledge Management Systems . [Doctoral Dissertation]. University of Arizona; 2011. Available from: http://hdl.handle.net/10150/145434

University of Arizona

3. Yu, Shuo. Mobile Health Analytics for Senior Care: A Data Mining and Deep Learning Approach .

Degree: 2019, University of Arizona

URL: http://hdl.handle.net/10150/633148

► Senior citizens confront numerous challenges to their independent living, including chronic physical health conditions and a decline in mobility. With the advancement of mobile sensing… (more)

▼ Senior citizens confront numerous challenges to their independent living, including chronic physical health conditions and a decline in mobility. With the advancement of mobile sensing technologies, medical professionals and information systems (IS) researchers have sought to apply data mining techniques to provide precise, prompt, and personalized assessment for falls and health conditions including Parkinson’s disease. Given the societal importance of senior care, my dissertation aims to address the following four research questions: (1) how can we promptly detect senior citizens’ adverse events, e.g., falls, to alleviate consequences, (2) how can we precisely assess senior citizens’ health risks, e.g., fall risks, to provide proper interventions, (3) how can we leverage multiple data sources and assess senior citizens’ health risks in a more holistic manner, and (4) how can we profile senior citizens’ long-term health progression for more personalized care. This dissertation presents four essays to tackle these questions. The essays develop state-of-the-art data mining and deep learning techniques to address selected senior care inquiries. The first essay focuses on a novel hidden Markov model with sensor orientation calibration to detect falls. The second essay presents a two-dimensional heterogeneous convolutional neural network to precisely assess fall risks. The third essay leverages deep multisource multitask learning to achieve sensor fusion and assess multiple health risks and disease severities. The final essay develops an adaptive time-aware convolutional long short term memory model that enables long-term health profiling with time irregularities. Presented frameworks, systems, and design principles not only advance mobile health analytics and deep learning methodologies, but also guide future computational design science research in IS. Advisors/Committee Members: Chen, Hsinchun (advisor), Nunamaker, Jay F. (committeemember), Brown, Susan A. (committeemember).

Subjects/Keywords: Data Mining; Deep Learning; Mobile Health Analytics; Motion Sensor; Senior Care

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Yu, S. (2019). Mobile Health Analytics for Senior Care: A Data Mining and Deep Learning Approach . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/633148

Chicago Manual of Style (16^th Edition):

Yu, Shuo. “Mobile Health Analytics for Senior Care: A Data Mining and Deep Learning Approach .” 2019. Doctoral Dissertation, University of Arizona. Accessed November 21, 2019. http://hdl.handle.net/10150/633148.

MLA Handbook (7^th Edition):

Yu, Shuo. “Mobile Health Analytics for Senior Care: A Data Mining and Deep Learning Approach .” 2019. Web. 21 Nov 2019.

Vancouver:

Yu S. Mobile Health Analytics for Senior Care: A Data Mining and Deep Learning Approach . [Internet] [Doctoral dissertation]. University of Arizona; 2019. [cited 2019 Nov 21]. Available from: http://hdl.handle.net/10150/633148.

Council of Science Editors:

Yu S. Mobile Health Analytics for Senior Care: A Data Mining and Deep Learning Approach . [Doctoral Dissertation]. University of Arizona; 2019. Available from: http://hdl.handle.net/10150/633148

University of Arizona

4. Giboney, Justin Scott. Development And Application Of An Online Tool For Meta-Analyses Using Design Science Principles .

Degree: 2014, University of Arizona

URL: http://hdl.handle.net/10150/333036

► 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… (more)

Subjects/Keywords: Linguistics; Meta-Analysis Software; Management Information Systems; Deception

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APA (6^th Edition):

Giboney, J. S. (2014). Development And Application Of An Online Tool For Meta-Analyses Using Design Science Principles . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/333036

Chicago Manual of Style (16^th Edition):

Giboney, Justin Scott. “Development And Application Of An Online Tool For Meta-Analyses Using Design Science Principles .” 2014. Doctoral Dissertation, University of Arizona. Accessed November 21, 2019. http://hdl.handle.net/10150/333036.

MLA Handbook (7^th Edition):

Giboney, Justin Scott. “Development And Application Of An Online Tool For Meta-Analyses Using Design Science Principles .” 2014. Web. 21 Nov 2019.

Vancouver:

Giboney JS. Development And Application Of An Online Tool For Meta-Analyses Using Design Science Principles . [Internet] [Doctoral dissertation]. University of Arizona; 2014. [cited 2019 Nov 21]. Available from: http://hdl.handle.net/10150/333036.

Council of Science Editors:

Giboney JS. Development And Application Of An Online Tool For Meta-Analyses Using Design Science Principles . [Doctoral Dissertation]. University of Arizona; 2014. Available from: http://hdl.handle.net/10150/333036

University of Arizona

5. Marquardson, James. Achieving Alignment: System Design and Attitudinal Considerations to Increase the Persuasive Power of Technology .

Degree: 2015, University of Arizona

URL: http://hdl.handle.net/10150/556848

► Increasing amounts of data are being produced and consumed on a daily basis. Every mouse movement and click on a website can be analyzed to… (more)

▼ Increasing amounts of data are being produced and consumed on a daily basis. Every mouse movement and click on a website can be analyzed to discover usage patterns and cognitive load (Jenkins et al., 2014), companies mine purchase histories to discover customer shopping patterns (Brin et al., 1997) and historical business transaction information can be used to improve business processes (Ghattas et al., 2014). Using sophisticated algorithms, data can be turned into information that helps guide marketers, policy makers, business managers, and other decision-makers. However, history has shown that increases in the amount and quality of information do not necessarily lead to better decision outcomes (Dawes et al., 1989). Human decision-makers may fail to understand the information, ignore it, or simply not believe it. Methods for effectively conveying information to humans must be studied so that the full value of information systems can be realized. This dissertation uses three studies to explain the factors that make technology persuasive. In the first study, attitudes toward technology measure how beliefs about technology influence the way people process information. Ordering effects are also examined to determine how people view information from decision support systems, and to find the optimal time to present information to decision-makers. In the second study, the persuasive power of text and audio modalities are compared. Additionally, the loss aversion bias is investigated to determine the utility of leveraging this cognitive bias in a technology context. In the third study, Protection Motivation Theory (Rogers, 1983) is used to extend the loss aversion model from study two. The study also investigates how message vividness and user participation through software personalization influence attitudes and behavior. Together, these experiments extend existing theoretical frameworks while giving actionable guidance to information systems practitioners. The studies demonstrate the importance of understanding cognitive biases, attitudes toward technology, and message delivery in a decision support scenario. These investigations are the first step in creating a more comprehensive model of factors that influence the persuasive power of technology. Advisors/Committee Members: Nunamaker, Jay F., Jr (advisor), Valacich, Joseph S. (committeemember), Brown, Susan A. (committeemember), Nunamaker, Jay F., Jr. (committeemember).

Subjects/Keywords: decision support; Management Information Systems; cognitive biases

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APA (6^th Edition):

Marquardson, J. (2015). Achieving Alignment: System Design and Attitudinal Considerations to Increase the Persuasive Power of Technology . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/556848

Chicago Manual of Style (16^th Edition):

Marquardson, James. “Achieving Alignment: System Design and Attitudinal Considerations to Increase the Persuasive Power of Technology .” 2015. Doctoral Dissertation, University of Arizona. Accessed November 21, 2019. http://hdl.handle.net/10150/556848.

MLA Handbook (7^th Edition):

Marquardson, James. “Achieving Alignment: System Design and Attitudinal Considerations to Increase the Persuasive Power of Technology .” 2015. Web. 21 Nov 2019.

Vancouver:

Marquardson J. Achieving Alignment: System Design and Attitudinal Considerations to Increase the Persuasive Power of Technology . [Internet] [Doctoral dissertation]. University of Arizona; 2015. [cited 2019 Nov 21]. Available from: http://hdl.handle.net/10150/556848.

Council of Science Editors:

Marquardson J. Achieving Alignment: System Design and Attitudinal Considerations to Increase the Persuasive Power of Technology . [Doctoral Dissertation]. University of Arizona; 2015. Available from: http://hdl.handle.net/10150/556848

University of Arizona

6. Twyman, Nathan W. Automated Human Screening for Detecting Concealed Knowledge .

Degree: 2012, University of Arizona

URL: http://hdl.handle.net/10150/222874

► Screening individuals for concealed knowledge has traditionally been the purview of professional interrogators investigating a crime. But the ability to detect when a person is… (more)

Subjects/Keywords: deception detection; eye tracking; oculometrics; security screening; Management Information Systems; body movement; CIT

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APA (6^th Edition):

Twyman, N. W. (2012). Automated Human Screening for Detecting Concealed Knowledge . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/222874

Chicago Manual of Style (16^th Edition):

Twyman, Nathan W. “Automated Human Screening for Detecting Concealed Knowledge .” 2012. Doctoral Dissertation, University of Arizona. Accessed November 21, 2019. http://hdl.handle.net/10150/222874.

MLA Handbook (7^th Edition):

Twyman, Nathan W. “Automated Human Screening for Detecting Concealed Knowledge .” 2012. Web. 21 Nov 2019.

Vancouver:

Twyman NW. Automated Human Screening for Detecting Concealed Knowledge . [Internet] [Doctoral dissertation]. University of Arizona; 2012. [cited 2019 Nov 21]. Available from: http://hdl.handle.net/10150/222874.

Council of Science Editors:

Twyman NW. Automated Human Screening for Detecting Concealed Knowledge . [Doctoral Dissertation]. University of Arizona; 2012. Available from: http://hdl.handle.net/10150/222874

7. Zhang, Yulei. Knowledge Discovery in Social Media: Physical World, Online World, and Virtual World .

Degree: 2011, University of Arizona

URL: http://hdl.handle.net/10150/145420

► Social media have grown tremendously, making the Internet a new platform for community-based social interaction. The rich and vast amount of social media data provides… (more)

▼ Social media have grown tremendously, making the Internet a new platform for community-based social interaction. The rich and vast amount of social media data provides valuable resources for understanding various social phenomena. Different from the world where people physically live, the new media bring additional types of worlds into people's lives: online worlds and virtual worlds. Examples of online worlds include Web forums, blogs, and online reviews, while the most famous example of a virtual world is Second Life. My dissertation is trying to address the overarching questions about how people adapt to social media to share information and exchange opinions, and what factors influence their activities in the new media. I adopt Web mining, machine learning, and computational linguistics techniques to analyze aspects of people and their behavior, such as gender differences, emotional differences, avatar activity differences, and avatar social interaction differences in online and virtual worlds.Chapter 2 develops a feature-based text classification framework to examine online gender differences between Web forum posters by analyzing writing styles and topics of interest. Guided by the stereotyping and social roles theories, Chapter 3 examines the emotional differences between men and women in text-based online communications. A research framework for automatic emotion detection is developed using sentiment analysis techniques. In the framework, different algorithms are developed to analyze the sentence-level subjectivity and phrase- and word-level polarity. Chapters 4 and 5 focus on investigating avatar behavior in the virtual world. Guided by the theories of social presence, social role, and gender role, Chapter 4 examines the effects of avatar virtual gender, virtual age, and region theme on avatars' physical activities. Chapter 5 further examines avatars' gender and age differences in their social interactions in help-seeking regions in the virtual world. The overall gender and age difference analyses and detailed investigations by comparing three types of interaction networks based on gender or age are conducted.Overall, my dissertation contributes to the literature on social media analytics, knowledge discovery, virtual world research, and text and Web mining. Advisors/Committee Members: Chen, Hsinchun (advisor), Brown, Susan A (committeemember), Nunamaker, Jay F (committeemember).

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APA (6^th Edition):

Zhang, Y. (2011). Knowledge Discovery in Social Media: Physical World, Online World, and Virtual World . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/145420

Chicago Manual of Style (16^th Edition):

Zhang, Yulei. “Knowledge Discovery in Social Media: Physical World, Online World, and Virtual World .” 2011. Doctoral Dissertation, University of Arizona. Accessed November 21, 2019. http://hdl.handle.net/10150/145420.

MLA Handbook (7^th Edition):

Zhang, Yulei. “Knowledge Discovery in Social Media: Physical World, Online World, and Virtual World .” 2011. Web. 21 Nov 2019.

Vancouver:

Zhang Y. Knowledge Discovery in Social Media: Physical World, Online World, and Virtual World . [Internet] [Doctoral dissertation]. University of Arizona; 2011. [cited 2019 Nov 21]. Available from: http://hdl.handle.net/10150/145420.

Council of Science Editors:

Zhang Y. Knowledge Discovery in Social Media: Physical World, Online World, and Virtual World . [Doctoral Dissertation]. University of Arizona; 2011. Available from: http://hdl.handle.net/10150/145420

8. Jiang, Shan. Statistical Modeling of Multi-Dimensional Knowledge Diffusion Networks: An ERGM-Based Framework .

Degree: 2015, University of Arizona

URL: http://hdl.handle.net/10150/555946

► Knowledge diffusion networks consist of individuals who exchange knowledge and knowledge flows connecting the individuals. By studying knowledge diffusion in a network perspective, it helps… (more)

▼ Knowledge diffusion networks consist of individuals who exchange knowledge and knowledge flows connecting the individuals. By studying knowledge diffusion in a network perspective, it helps us understand how the connections between individuals affect the knowledge diffusion processes. Existing research on knowledge diffusion networks mostly adopts a uni-dimensional perspective, where all the individuals in the networks are assumed to be of the same type. It also assumes that there is only one type of knowledge flow in the network. This dissertation proposes a multi-dimensional perspective of knowledge diffusion networks and examines the patterns of knowledge diffusion with Exponential Random Graph Model (ERGM) based approaches. The objective of this dissertation is to propose a framework that effectively addresses the multi-dimensionality of knowledge diffusion networks, to enable researchers and practitioners to conceptualize the multi-dimensional knowledge diffusion networks in various domains, and to provide implications on how to stimulate and control the knowledge diffusion process. The dissertation consists of three essays, all of which examine the multi-dimensional knowledge diffusion networks in a specific context, but each focuses on a different aspect of knowledge diffusion. Chapter 2 focuses on how structural properties of networks affect various types of knowledge diffusion processes in the domain of commercial technology. The study uses ERGM to simultaneously model multiple types of knowledge flows and examine their interactions. The objective is to understand the impacts of network structures on knowledge diffusion processes. Chapter 3 focuses on examining the impact of individual attributes and the attributes of knowledge on knowledge diffusion in the context of scientific innovation. Based on social capital theory, the study also utilizes ERGM to examine how knowledge transfer and knowledge co-creation can be affected by the attributes of individual researchers and the attributes of scientific knowledge. Chapter 4 considers the dynamic aspect of knowledge diffusion and proposes a novel network model extending ERGM to identify dynamic patterns of knowledge diffusion in social media. In the proposed model, dynamic patterns in social media networks are modeled based on the nodal attributes of individuals and the temporal information of network ties. Advisors/Committee Members: Chen, Hsinchun (advisor), Chen, Hsinchun (committeemember), Goes, Paulo B. (committeemember), Brown, Susan A. (committeemember), Lin, Mingfeng (committeemember).

Subjects/Keywords: knowledge diffusion; Multi-dimensionality; Network dynamics; Social media; Social network analysis; Management Information Systems; Exponential random graph model

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APA (6^th Edition):

Jiang, S. (2015). Statistical Modeling of Multi-Dimensional Knowledge Diffusion Networks: An ERGM-Based Framework . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/555946

Chicago Manual of Style (16^th Edition):

Jiang, Shan. “Statistical Modeling of Multi-Dimensional Knowledge Diffusion Networks: An ERGM-Based Framework .” 2015. Doctoral Dissertation, University of Arizona. Accessed November 21, 2019. http://hdl.handle.net/10150/555946.

MLA Handbook (7^th Edition):

Jiang, Shan. “Statistical Modeling of Multi-Dimensional Knowledge Diffusion Networks: An ERGM-Based Framework .” 2015. Web. 21 Nov 2019.

Vancouver:

Jiang S. Statistical Modeling of Multi-Dimensional Knowledge Diffusion Networks: An ERGM-Based Framework . [Internet] [Doctoral dissertation]. University of Arizona; 2015. [cited 2019 Nov 21]. Available from: http://hdl.handle.net/10150/555946.

Council of Science Editors:

Jiang S. Statistical Modeling of Multi-Dimensional Knowledge Diffusion Networks: An ERGM-Based Framework . [Doctoral Dissertation]. University of Arizona; 2015. Available from: http://hdl.handle.net/10150/555946

9. Wilson, David W. Overcoming Information Privacy Concerns: Learning from Three Disclosure Contexts .

Degree: 2015, University of Arizona

URL: http://hdl.handle.net/10150/555938

► 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… (more)

▼ 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. Advisors/Committee Members: Nunamaker, Jay F. Jr (advisor), Valacich, Joseph S (advisor), Nunamaker, Jay F. Jr (committeemember), Valacich, Joseph S. (committeemember), Brown, Susan A. (committeemember).

Subjects/Keywords: control; disclosure; identity; irrational; privacy; Management Information Systems; calculus

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APA (6^th Edition):

Wilson, D. W. (2015). Overcoming Information Privacy Concerns: Learning from Three Disclosure Contexts . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/555938

Chicago Manual of Style (16^th Edition):

Wilson, David W. “Overcoming Information Privacy Concerns: Learning from Three Disclosure Contexts .” 2015. Doctoral Dissertation, University of Arizona. Accessed November 21, 2019. http://hdl.handle.net/10150/555938.

MLA Handbook (7^th Edition):

Wilson, David W. “Overcoming Information Privacy Concerns: Learning from Three Disclosure Contexts .” 2015. Web. 21 Nov 2019.

Vancouver:

Wilson DW. Overcoming Information Privacy Concerns: Learning from Three Disclosure Contexts . [Internet] [Doctoral dissertation]. University of Arizona; 2015. [cited 2019 Nov 21]. Available from: http://hdl.handle.net/10150/555938.

Council of Science Editors:

Wilson DW. Overcoming Information Privacy Concerns: Learning from Three Disclosure Contexts . [Doctoral Dissertation]. University of Arizona; 2015. Available from: http://hdl.handle.net/10150/555938

University of Arizona

10. Wilkerson, Jerod W. Closing the Defect Reduction Gap between Software Inspection and Test-Driven Development: Applying Mutation Analysis to Iterative, Test-First Programming .

Degree: 2008, University of Arizona

URL: http://hdl.handle.net/10150/195160

► The main objective of this dissertation is to assist in reducing the chaotic state of the software engineering discipline by providing insights into both the… (more)

▼ The main objective of this dissertation is to assist in reducing the chaotic state of the software engineering discipline by providing insights into both the effectiveness of software defect reduction methods and ways these methods can be improved. The dissertation is divided into two main parts. The first is a quasi-experiment comparing the software defect rates and initial development costs of two methods of software defect reduction: software inspection and test-driven development (TDD). Participants, consisting of computer science students at the University of Arizona, were divided into four treatment groups and were asked to complete the same programming assignment using either TDD, software inspection, both, or neither. Resulting defect counts and initial development costs were compared across groups. The study found that software inspection is more effective than TDD at reducing defects, but that it also has a higher initial cost of development. The study establishes the existence of a defect-reduction gap between software inspection and TDD and highlights the need to improve TDD because of its other benefits.The second part of the dissertation explores a method of applying mutation analysis to TDD to reduce the defect reduction gap between the two methods and to make TDD more reliable and predictable. A new change impact analysis algorithm (CHA-AS) based on CHA is presented and evaluated for applications of software change impact analysis where a predetermined set of program entry points is not available or is not known. An estimated average case complexity analysis indicates that the algorithm's time and space complexity is linear in the size of the program under analysis, and a simulation experiment indicates that the algorithm can capitalize on the iterative nature of TDD to produce a cost savings in mutation analysis applied to TDD projects. The algorithm should also be useful for other change impact analysis situations with undefined program entry points such as code library and framework development.An enhanced TDD method is proposed that incorporates mutation analysis, and a set of future research directions are proposed for developing tools to support mutation analysis enhanced TDD and to continue to improve the TDD method. Advisors/Committee Members: Nunamaker, Jr., Jay F (advisor), Brown, Susan A. (committeemember), Moon, Bongki (committeemember).

Subjects/Keywords: Software Inspection; Test-Driven Development; Automated Testing; Mutation Analysis; Change Impact Analysis; Software Quality

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APA (6^th Edition):

Wilkerson, J. W. (2008). Closing the Defect Reduction Gap between Software Inspection and Test-Driven Development: Applying Mutation Analysis to Iterative, Test-First Programming . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/195160

Chicago Manual of Style (16^th Edition):

Wilkerson, Jerod W. “Closing the Defect Reduction Gap between Software Inspection and Test-Driven Development: Applying Mutation Analysis to Iterative, Test-First Programming .” 2008. Doctoral Dissertation, University of Arizona. Accessed November 21, 2019. http://hdl.handle.net/10150/195160.

MLA Handbook (7^th Edition):

Wilkerson, Jerod W. “Closing the Defect Reduction Gap between Software Inspection and Test-Driven Development: Applying Mutation Analysis to Iterative, Test-First Programming .” 2008. Web. 21 Nov 2019.

Vancouver:

Wilkerson JW. Closing the Defect Reduction Gap between Software Inspection and Test-Driven Development: Applying Mutation Analysis to Iterative, Test-First Programming . [Internet] [Doctoral dissertation]. University of Arizona; 2008. [cited 2019 Nov 21]. Available from: http://hdl.handle.net/10150/195160.

Council of Science Editors:

Wilkerson JW. Closing the Defect Reduction Gap between Software Inspection and Test-Driven Development: Applying Mutation Analysis to Iterative, Test-First Programming . [Doctoral Dissertation]. University of Arizona; 2008. Available from: http://hdl.handle.net/10150/195160

University of Arizona

11. Fadel, Kelly John. Infusion of Information Systems: The Role of Adaptation and Individual Cognitions .

Degree: 2007, University of Arizona

URL: http://hdl.handle.net/10150/195745

► Each year, organizations invest billions of dollars in large information systems (IS) that support business processes. These systems are implemented with the hope that they… (more)

▼ Each year, organizations invest billions of dollars in large information systems (IS) that support business processes. These systems are implemented with the hope that they will bring increased efficiency and productivity to operations, decision making, and collaboration, thus strengthening competitive advantage in an increasingly aggressive global marketplace. Unfortunately, empirical evidence demonstrates that despite prodigious investment in these systems, their purported benefits often lag behind expectations, or fail to materialize at all. While many causes may contribute to these failures, a common theme in empirical studies is that information systems are rarely infused into individuals' work practices, thus undermining their benefits to the organization. IS infusion refers to the degree to which the technology is fully integrated into an individual's or organization's work systems. Although theoretical and practical interest in IS infusion is growing, little is understood about the factors that lead to IS infusion at the individual level.This dissertation integrates research and theory in information systems acceptance, adaptation, and infusion to develop a theoretical model of IS infusion at the individual level. To test the model, a survey instrument was developed and tested at the health care facility of a large public university. The revised survey was then deployed at a large technology firm in the northwestern United States, from which 195 individual responses were obtained. Results indicate that adaptation behaviors engaged in by IS users significantly impact the degree to which they infuse the IS in their work. Moreover, these adaptation behaviors are shaped by cognitive appraisals of the IS, which are, in turn, influenced by key acceptance-related IS perceptions.This study contributes to research by integrating previously disparate theories into a holistic framework of individual-level IS infusion. For practice, this research sheds light on specific factors that contribute to IS adaptation and infusion, thereby assisting IS managers to promote these outcomes within their organization. Advisors/Committee Members: Brown, Susan A (advisor), Tanniru, Mohan R. (committeemember), Weisband, Suzanne (committeemember).

Subjects/Keywords: information system; infusion; adaptation; coping; use; adoption

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APA (6^th Edition):

Fadel, K. J. (2007). Infusion of Information Systems: The Role of Adaptation and Individual Cognitions . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/195745

Chicago Manual of Style (16^th Edition):

Fadel, Kelly John. “Infusion of Information Systems: The Role of Adaptation and Individual Cognitions .” 2007. Doctoral Dissertation, University of Arizona. Accessed November 21, 2019. http://hdl.handle.net/10150/195745.

MLA Handbook (7^th Edition):

Fadel, Kelly John. “Infusion of Information Systems: The Role of Adaptation and Individual Cognitions .” 2007. Web. 21 Nov 2019.

Vancouver:

Fadel KJ. Infusion of Information Systems: The Role of Adaptation and Individual Cognitions . [Internet] [Doctoral dissertation]. University of Arizona; 2007. [cited 2019 Nov 21]. Available from: http://hdl.handle.net/10150/195745.

Council of Science Editors:

Fadel KJ. Infusion of Information Systems: The Role of Adaptation and Individual Cognitions . [Doctoral Dissertation]. University of Arizona; 2007. Available from: http://hdl.handle.net/10150/195745

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