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Management Ambidexterity: A Clue for Maturing in Agile Software Development

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Agile Processes in Software Engineering and Extreme Programming (XP 2015)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 212))

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Abstract

Organizational ambidexterity is the ability to be aligned and efficient in combining current resources and demands (exploitation) as well as adaptive and innovative due to changing conditions and demands (exploration). Maturity in software development is defined over exploitation – through processes definition and control. We argue in this study that mature agile software development is also exploratory – adaptive and innovative. Thus, our objective is to verify how ambidexterity occurs in mature agile software development. The research approach is a single case study with analysis of qualitative data. Our findings show how a mature team is managed by ambidextrous strategies.

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Authors and Affiliations

  1. Pontifical Catholic University of Paraná (PUCPR), R. Imaculada Conceição, 1155, 80215-901, Curitiba, PR, Brazil

    Rafaela Mantovani Fontana, Victor Meyer Jr., Sheila Reinehr & Andreia Malucelli

  2. Federal University of Paraná (UFPR), R. Dr. Alcides Vieira Arcoverde, 1225, 81520-260, Curitiba, PR, Brazil

    Rafaela Mantovani Fontana

Authors
  1. Rafaela Mantovani Fontana
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  2. Victor Meyer Jr.
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  3. Sheila Reinehr
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  4. Andreia Malucelli
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Corresponding author

Correspondence to Rafaela Mantovani Fontana .

Editor information

Editors and Affiliations

  1. Aalto University, Espoo, Finland

    Casper Lassenius

  2. SINTEF, Trondheim, Norway

    Torgeir Dingsøyr

  3. Aalto University, Aalto, Finland

    Maria Paasivaara

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© 2015 Springer International Publishing Switzerland

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Fontana, R.M., Meyer, V., Reinehr, S., Malucelli, A. (2015). Management Ambidexterity: A Clue for Maturing in Agile Software Development. In: Lassenius, C., Dingsøyr, T., Paasivaara, M. (eds) Agile Processes in Software Engineering and Extreme Programming. XP 2015. Lecture Notes in Business Information Processing, vol 212. Springer, Cham. https://doi.org/10.1007/978-3-319-18612-2_17

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  • DOI: https://doi.org/10.1007/978-3-319-18612-2_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18611-5

  • Online ISBN: 978-3-319-18612-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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