Attaining Individual Creativity and Performance in Multi-Disciplinary and Geographically-Distributed it Project Teams: The Role of Transactive Memory Systems

2021 ◽  
Author(s):  
JJ Po-An Hsieh
2011 ◽  
Vol 22 (3) ◽  
pp. 211-234 ◽  
Author(s):  
Tung-Ching Lin ◽  
Jack Shih-Chieh Hsu ◽  
Kuang-Ting Cheng ◽  
Sheng Wu

2015 ◽  
Vol 20 (6) ◽  
pp. 894-908 ◽  
Author(s):  
Bryan Bonner ◽  
Michael R. Baumann ◽  
Alexander C. Romney

People collaborate to address tasks that can often be decomposed into smaller components. These components beg different forms of expertise and may differ in value to the group. We show that transactive memory structure is affected by the interaction between task component value, incentive framing (i.e., whether task incentives take the form of gains or losses), and the distribution of expertise with respect to task components. We find that when groups include a member with expertise in a highly valuable task component, that member is exceptionally motivated and puts forth high levels of effort. Only groups with such an expert successfully realized the potential performance benefit associated with high-value domains. Groups recalled more items under loss framing than under gains framing, but only when the potential losses were low and constant across components. We integrate our findings into the extant literatures on transactive memory and gains/loss framing.


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