Thesis (M. Phil.)--University of Hong Kong, 2002. / Includes bibliographical references.

Thesis (M.S. in Computer Science)--Naval Postgraduate School, March 2003. / Thesis advisor(s): Don Brutzman, Joseph Sullivan, Curt Blais. Includes bibliographical references (p. 127-131). Also available online.

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

Abstract The virtual organisation challenges traditional management assumptions because a new means of coordinating globally dispersed employees is needed. To understand the collective activities of a workforce separated by space and time, this paper describes a complexity science-based management framework for virtual organisations. Specific focus is on a South African virtual organisation as a complex adaptive system. A single, embedded case study strategy was followed, and multiple data sources used to generate theory. In this paper, results are reported that clarify the management of an organisation where technology replaces conventional face-toface contexts for socialisation and assimilation. The paper shows how managers create a virtual context for sharing meaning and interaction through synergy, empowerment, participation and an accountable, committed workforce.

This thesis addresses issues related to the development of Collaborative Virtual Environments (CVEs) for architectural design use. Today a new level of complexity has been brought to the meaning of virtuality by the creation of network-based virtual communities and the use of avatars along with multimedia which provides the technology for remote presence and collaborative experience. Communication and especially collaboration among design teams are now key factors in making the design process faster and more efficient in order to achieve increased competitiveness in the construction market. The objective of this thesis is to present a tool that is capable of creating 3D shapes in a shared VR environment, therefore allowing the evolution of the design to be a shared process. Along with its companion thesis (Conti, 2002) it gives the description of a framework and software prototype which could help practitioners using Virtual Reality technology by being a new interface for collaborative design at the early stages of the design process. The prototype system that is described here is called Java™ Collaborative Architectural Design tool in Virtual Reality JCAD-VR) and this thesis presents a description of its collaborative architecture. This thesis gives a description of the phases and technical solutions in the development of the network architecture and collaborative features of the JCAD-VR system. In addition, several different communication tools were used to enhance communication and the flow of information among the design teams and they are integrated in a Virtual Environment specifically created for architects. After the description of the software development the results are given of a test of the collaborative architecture of JCAD-VR and its ease of use in a real multi participant design experiment which show the potential and efficiency of using CVEs in architecture.

Virtual Metrology (VM) predicts end-of-batch properties (metrology data) from measurable input data composed of pre-process metrology and fault detection and classi cation (FDC) system outputs. This dissertation aims at moving a step closer to the realization of VM in semiconductor manufacturing by providing solutions to the challenges that present VM technology faces. First, various VM methods are introduced and compared in terms of prediction accuracy using four industrial datasets collected from a plasma etch system at Texas Instruments, Inc.. Kalman lter estimation is employed in a novel way to serve as a VM model for predicting outputs of a static process. Recursive PLS regression (R-PLSR) and Kalman filter show the best prediction results as they update the model whenever new measurements are available. Next, two PLS variants (PLS with EWMA mean update and recursive PLS) are proposed as robust VM algorithms that can predict process outputs fairly accurately in the presence of unexpected process drifts and noise. The obtained results reinforce VM technology by suggesting appropriate prediction methods when unexpected process changes occur. For a successful implementation of VM, the data entering the VM model needs to be free from faults. Fault-free (reconstructed) data are obtained by performing fault detection, fault identi cation, and fault reconstruction. A novel fault detection method based on statistics pattern analysis (SPA) is presented. The SPA method provides better fault detection performance for diff erent types of faults as compared to the MPCA-based methods. Next, three well-known fault identi cation methods present in literature are implemented. An equation that relates the RBC with the SVI is derived. The contribution plot method identi es a smaller number of faults correctly as compared to the RBC and the SVI methods. Fairly good estimates of the fault magnitude are obtained when the faults are identi ed correctly. An approach that combines physical measurements with the VM estimates to develop a more robust approach than using VM alone is presented. EWMA-R2R control is implemented using three well-known sampling methods in order to demonstrate the superior performance of two novel control schemes: B-EWMA R2R control and VM-assisted EWMA-R2R control. A new reliance index, which is attractive from a mathematical and practical point of view, is proposed. The VM-assisted EWMA-R2R control yields the best control results among the control schemes employed in this study. The simulation results demonstrate that VM has the potential to reduce measurement costs signi cantly while promising better process control. / text

published_or_final_version / Computer Science / Master / Master of Philosophy

This is a presentation of 21 slides at the Leadership Development session of the ASIST 2005 Annual Meeting at Charlotte, N.C. on October 30. It discusses the 2002 virtual community building experiment undertaken by the Arizona Chapter of ASIST. The chapter experimented with three different pieces of software, a wiki, a content management system, and slashcode. This presentation was also video-taped and may become available through the ASIST website, http://www.asis.org/.

Artificial Intelligence Lab, Department of MIS, University of Arizona / This paper describes a study to explore the integration of Group Support Systems (GSS) and Artificial Intelligence (AI) technology to provide solicitation, analytical, visualization and sense-making support for attitudes from large distributed marketing focus groups. The paper describes two experiments and the concomitant evolutionary design and development of an attitude analysis process and the MindMine Comment Analysis Tool. The analysis process circumvents many of the problems associated with traditional data gathering via closed-ended questionnaires and potentially biased interviews by providing support for online free response evaluative comments. MindMine allows teams of raters to analyze comments from any source, including electronic meetings, discussion groups or surveys, whether they are Web-based or same-place. The analysis results are then displayed as visualizations that enable the team quickly to make sense of attitudes reflected in the comment set, which we believe provide richer information and a more detailed understanding of attitudes.

The implementation of global virtual teams presents modern organizations with significant challenges, such as a multicultural workforce and the use of information and communication technology. Cultural diversity increases teamwork complexity and may weaken a team's effectiveness and jeopardize its viability. Selection and implementation of appropriate information technology may facilitate group processes and overcome potential barriers created by team heterogeneity. This study illustrates how e-mail mitigates intercultural miscommunication. Interviews with 41 global virtual team members in nine countries, who were employed by a multinational corporation, were transcribed and analyzed. The use of e-mail improves language accuracy, mitigates intercultural miscommunication resulting from verbal differences among team members, and eliminates nonverbal differences. Only future studies can determine the extent of this mitigation.