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dc.contributor.authorShepherd, Morgan Morrison.
dc.creatorShepherd, Morgan Morrison.en_US
dc.date.accessioned2011-10-31T18:36:08Z
dc.date.available2011-10-31T18:36:08Z
dc.date.issued1995en_US
dc.identifier.urihttp://hdl.handle.net/10150/187310
dc.description.abstractOrganizations are downsizing, challenging their employees to "do more with less." Projects teams and work groups being formed to accomplish this goal are being supported with a new type of technology called Group Support Systems (GSS). This research was concerned with determining the major factors that affect the diffusion of GSS in organizations. GroupSystems (GS) is the GSS that was researched. A survey methodology was used to collect data. The model for this research was developed from existing models in diffusion research, from prior MIS research on GroupSystems, and from prior MIS implementation research. The following independent variables were analyzed: the role of the internal champion, the role of the facilitator, average size of the work groups and the percentage of work that was handled by each work group, hourly charge for using GS, total amount of money invested in the technology, and the role of communication channels within the organization. The data were analyzed through four different regressions, with the same results being obtained each time. Significant relationships were found for the size of work groups, the hourly charge rate, and the amount spent on the technology; findings for the role of the facilitator were partially significant. The final regression was significant at the p<.001 level and accounted for over 58% of the model.
dc.language.isoenen_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.subjectCommunication in management.en_US
dc.subjectTeams in the workplace.en_US
dc.titleAn empirical assessment of the factors affecting the diffusion of group support systems in organizations.en_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
dc.contributor.chairNunamaker, J. F. Jr.en_US
dc.identifier.oclc706823628en_US
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.leveldoctoralen_US
dc.contributor.committeememberVogel, Douglas R.en_US
dc.contributor.committeememberOrwig, Richard E.en_US
dc.contributor.committeememberBeach, Lee Royen_US
dc.contributor.committeememberGriffith, T. L.en_US
dc.identifier.proquest9620371en_US
thesis.degree.disciplineBusiness Administrationen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.namePh.D.en_US
refterms.dateFOA2018-06-23T10:07:33Z
html.description.abstractOrganizations are downsizing, challenging their employees to "do more with less." Projects teams and work groups being formed to accomplish this goal are being supported with a new type of technology called Group Support Systems (GSS). This research was concerned with determining the major factors that affect the diffusion of GSS in organizations. GroupSystems (GS) is the GSS that was researched. A survey methodology was used to collect data. The model for this research was developed from existing models in diffusion research, from prior MIS research on GroupSystems, and from prior MIS implementation research. The following independent variables were analyzed: the role of the internal champion, the role of the facilitator, average size of the work groups and the percentage of work that was handled by each work group, hourly charge for using GS, total amount of money invested in the technology, and the role of communication channels within the organization. The data were analyzed through four different regressions, with the same results being obtained each time. Significant relationships were found for the size of work groups, the hourly charge rate, and the amount spent on the technology; findings for the role of the facilitator were partially significant. The final regression was significant at the p<.001 level and accounted for over 58% of the model.


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