Virtual Work Group Collaboration in a Manufacturing Process

In this chapter, we discuss an eight-factor process model of large virtual groups. A team has been defined as a small group of people that work very closely on a project or process. We define a large work group as a larger group of people who are more loosely connected to one another than a team by a shared work process, project, or strategic goal. The eight factors are organizational support and purpose; egalitarian structure; team culture, trust, collaboration, and relationships; people—skills, expertise, and capabilities; motivation and rewards; communication processes; communication tools; and knowledge sharing. These factors to a greater or lesser degree have been shown to contribute to the effectiveness of communication in a large virtual work group during a two-phase study at Nortel Networks. Qualitative and quantitative results of this study are presented in the chapter. We discuss issues related to communication and knowledge sharing in the chapter as well as recommendations for successful organization and communication in large work groups.

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Technological Support for Work Group Collaboration

10.1201/9781003063940 ◽

2020 ◽

Keyword(s):

Work Group ◽

Technological Support ◽

Group Collaboration

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Identifying groups of airborne particles by ordination

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100172012 ◽

1994 ◽

Vol 52 ◽

pp. 856-857

Author(s):

M. Shlepr ◽

C. M. Vicroy

Keyword(s):

Elemental Analysis ◽

Energy Dispersive Spectroscopy ◽

Manufacturing Process ◽

Spatial Representation ◽

Airborne Particles ◽

Common Source ◽

Data Set ◽

Microelectronics Industry ◽

Induced Changes ◽

Source Materials

The microelectronics industry is heavily tasked with minimizing contaminates at all steps of the manufacturing process. Particles are generated by physical and/or chemical fragmentation from a mothersource. The tools and macrovolumes of chemicals used for processing, the environment surrounding the process, and the circuits themselves are all potential particle sources. A first step in eliminating these contaminants is to identify their source. Elemental analysis of the particles often proves useful toward this goal, and energy dispersive spectroscopy (EDS) is a commonly used technique. However, the large variety of source materials and process induced changes in the particles often make it difficult to discern if the particles are from a common source.Ordination is commonly used in ecology to understand community relationships. This technique usespair-wise measures of similarity. Separation of the data set is based on discrimination functions. Theend product is a spatial representation of the data with the distance between points equaling the degree of dissimilarity.

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