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Leveraging temporal and spatial separations with the 24-hour knowledge factory paradigm

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Abstract

The 24-H Knowledge Factory facilitates collaboration between geographically and temporally distributed teams. The teams themselves form a strategic partnership whose joint efforts contribute to the completion of a project. Project-related tasks are likewise distributed, allowing tasks to be completed on a continuous basis, regardless of the constraints of any one team’s working hours. However, distributing a single task between multiple teams necessitates a handoff process, where one team’s development efforts and task planning are communicated from one team ending their shift to the next that will continue the effort. Data management is, therefore, critical to the success of this business model. Efficiency in data management is achieved through a strategic leveraging of key tools, models, and concepts.

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Acknowledgements

We would like to acknowledge the following current and former members of the 24-Hour Knowledge Factory Research Group at the University of Arizona for their research ideas: Nathan Denny, Kate O’Toole, Shivaram Mani, Ravi Seshu, Manish Swaminathan, and Jamie Samdal

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Authors and Affiliations

  1. Thomas R. Brown Chair in Management and Technology, Eller College of Management, University of Arizona, McClelland Hall, Tucson, AZ, 85721-0108, USA

    Amar Gupta

  2. Department of Electrical and Computer Engineering, University of Arizona, 1230 E. Speedway Blvd, Tucson, AZ, 85721, USA

    Rajdeep Bondade

  3. Department of Computer Science, University of Arizona, Gould-Simpson Building, 1040 E. 4th Street, Tucson, AZ, 85721, USA

    Igor Crk

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  1. Amar Gupta
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  2. Igor Crk
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  3. Rajdeep Bondade
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Correspondence to Amar Gupta.

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Gupta, A., Crk, I. & Bondade, R. Leveraging temporal and spatial separations with the 24-hour knowledge factory paradigm. Inf Syst Front 13, 397–405 (2011). https://doi.org/10.1007/s10796-009-9226-4

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