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

Author

Listed:
  • Amar Gupta

    (University of Arizona)

  • Igor Crk

    (University of Arizona)

  • Rajdeep Bondade

    (University of Arizona)

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.

Suggested Citation

  • Amar Gupta & Igor Crk & Rajdeep Bondade, 2011. "Leveraging temporal and spatial separations with the 24-hour knowledge factory paradigm," Information Systems Frontiers, Springer, vol. 13(3), pages 397-405, July.
    • Handle: RePEc:spr:infosf:v:13:y:2011:i:3:d:10.1007_s10796-009-9226-4
    DOI: 10.1007/s10796-009-9226-4
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    References listed on IDEAS

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    1. Peter Todd & Izak Benbasat, 1991. "An Experimental Investigation of the Impact of Computer Based Decision Aids on Decision Making Strategies," Information Systems Research, INFORMS, vol. 2(2), pages 87-115, June.
    2. Nathan Denny & Shivram Mani & Ravi Sheshu Nadella & Manish Swaminathan & Jamie Samdal, 2008. "Hybrid Offshoring: Composite Personae and Evolving Collaboration Technologies," Information Resources Management Journal (IRMJ), IGI Global, vol. 21(1), pages 89-104, January.
    3. Ikujiro Nonaka, 1994. "A Dynamic Theory of Organizational Knowledge Creation," Organization Science, INFORMS, vol. 5(1), pages 14-37, February.
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    Cited by:

    1. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.

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