Abstract
Purpose This paper aims to report on a qualitative comparative case study of coordination in three ongoing research and development projects, each conducted by teams working virtually across multiple, geographically dispersed sites and involving varying degrees of task uncertainty at differing stages on an innovation continuum, from basic fundamental research to scale-up and commercial development. Design/methodology/approach This study investigated characteristics of effective virtual innovation teamwork, primarily using structured interviews, observation and a limited number of surveys. The analysis was based upon Pava’s (1983) methodology of sociotechnical systems (STS) for non-linear work and was used to assess the influence of virtuality and task uncertainty on the quality of team deliberations and the knowledge development barriers experienced at the various stages on the innovation continuum. Findings The study identified different technical and social coordination mechanisms and their impact in mitigating knowledge barriers for differing levels of task uncertainty. Technical elements, many based in digital information technology, appeared most significant for coordination where task uncertainty and ambiguity were low. However, with high task uncertainty, the most significant mechanisms were closely tied to the formal and informal social systems of virtual organization. Research limitations/implications The key implication for future research is the development of further applications to evaluate this coordination model for modern teamwork in virtual contexts. Practical implications The findings extend previous theory about coordination of innovation to include fundamental research and virtual collaboration. Based on the results, a four-step STS methodology for design of virtual team coordination mechanisms was developed and piloted successfully by scientific teams at a prominent North American research laboratory. Originality/value This research project has shown that modern STS methodology, updated for non-routine work in a virtual context, can provide a way to assess and mitigate “coordination costs” associated with virtual teamwork. Further, it has identified clear categories of coordination mechanisms that are most effective when teams are working at different stages in the innovation process.
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