Author List: He, Jun; Butler, Brian S.; King, William R.;
Journal of Management Information Systems, 2007, Volume 24, Issue 2, Page 261-292.
In software development, team-based work structures are commonly used to accomplish complex projects. Software project teams must be able to utilize the expertise and knowledge of participants without overwhelming individual members. To efficiently leverage individuals' knowledge and expertise, software project teams develop team cognition structures that facilitate their knowledge activities. This study focuses on the emergence and evolution of team cognition in software project teams, and examines how communication activity and team diversity impact the formation of these structures. A longitudinal study was conducted of 51 database development teams. The results suggest that some forms of communication and team diversity affect the formation of team cognition. Frequency of meetings and phone calls were positively related to the formation of team cognition, while e-mail use had no effect. Gender diversity had a strong and positive effect on the development of team cognition and the effect remained stable over time. Implications for the practical potential and limitations of purposive team construction as a strategy for improving software development team performance are discussed.
Keywords: expertiselocation;memberfamiliarity;projectteams;sharedtask understanding;softwareteams;teamcommunications;teamdiversity
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#87 0.289 team teams virtual members communication distributed performance global role task cognition develop technology involved time individual's affects project geographically individuals
#254 0.148 level levels higher patterns activity results structures lower evolution significant analysis degree data discussed implications stable cluster exist relationships identify
#135 0.097 project projects development management isd results process team developed managers teams software stakeholders successful complex develop contingencies problems greater planning
#173 0.095 effect impact affect results positive effects direct findings influence important positively model data suggest test factors negative affects significant relationship
#232 0.086 software development product functionality period upgrade sampling examines extent suggests factors considered useful uncertainty previous called complementarities greater cost present
#9 0.061 using subjects results study experiment did conducted task time used experienced use preference experimental presented decision-making empirical significantly effects better
#235 0.054 diversity free impact trial market time consumer version strategy sales focal premium suggests freemium trials effect include extensions internet products
#245 0.051 knowledge sharing contribution practice electronic expertise individuals repositories management technical repository knowledge-sharing shared contributors novelty features peripheral share benefit seekers