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Forecasting project performance considering the influence of leadership style on organizational agility

Author

Listed:
  • Marco Aurélio de Oliveira
  • Luiz Veriano Oliveira Dalla Valentina
  • Osmar Possamai

Abstract

Purpose - The purpose of this paper is to analyze the influence of leadership style and factors associated with organization agility on project performance. Design/methodology/approach - It is a case study carried out at a leading corporation driven towards innovation projects. Literature on this subject seems to be mainly focused on the contribution of processes and strategies that lead to agility, and few cases report the influence of people and leadership style on this factor. Upon analysis, a proposed characterization of the relationship between leadership, agility and project performance is presented. A Bayesian Network (BN) model is employed as a modeling tool, enabling both inferences and sensitivity analysis and also visualization and quantification of the propagation of effects between variables. Findings - The main result of this study is the characterization of under which combination of leadership style, agility and organizational factors the highest project performance can be achieved. Originality/value - The paper helps clear up the mistaken view that high agility only takes place when all constituent factors display maximum values. The leadership style and people contribution to agility is clearly addressed. This kind of approach is original and helps to answer the question found in the literature of how much agility is needed, through the identification of the individual contributions of each of the system variables. The view offered by the model discussed in this paper enables understanding and visualizing how this takes place, thus allowing for gearing more focused and effective actions towards the key variables.

Suggested Citation

  • Marco Aurélio de Oliveira & Luiz Veriano Oliveira Dalla Valentina & Osmar Possamai, 2012. "Forecasting project performance considering the influence of leadership style on organizational agility," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 61(6), pages 653-671, July.
    • Handle: RePEc:eme:ijppmp:v:61:y:2012:i:6:p:653-671
    DOI: 10.1108/17410401211249201
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    Citations

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    Cited by:

    1. Marco Aurélio de Oliveira & Antonio Schalata Pacheco & André Hideto Futami & Luiz Veriano Oliveira Dalla Valentina & Carlos Alberto Flesch, 2023. "Self‐organizing maps and Bayesian networks in organizational modelling: A case study in innovation projects management," Systems Research and Behavioral Science, Wiley Blackwell, vol. 40(1), pages 61-87, January.
    2. AlNuaimi, Bader K. & Kumar Singh, Sanjay & Ren, Shuang & Budhwar, Pawan & Vorobyev, Dmitriy, 2022. "Mastering digital transformation: The nexus between leadership, agility, and digital strategy," Journal of Business Research, Elsevier, vol. 145(C), pages 636-648.
    3. M. Suguna & Bhavin Shah & B. U. Sivakami & M. Suresh, 2022. "Factors affecting repurposing operations in Micro Small and Medium Enterprises during Covid-19 emergency," Operations Management Research, Springer, vol. 15(3), pages 1181-1197, December.
    4. Umer Muhammad & Tahira Nazir & Najam Muhammad & Ahsen Maqsoom & Samina Nawab & Syeda Tamkeen Fatima & Khuram Shafi & Faisal Shafique Butt, 2021. "Impact of agile management on project performance: Evidence from I.T sector of Pakistan," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-24, April.

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