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Asian Conference on Intelligent Information and Database Systems

ACIIDS 2017: Intelligent Information and Database Systems pp 664–675Cite as

Analytics on the Impact of Leadership Styles and Leadership Outcome

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10192))

Abstract

Data mining and machine learning approaches are helping organisations to streamline and optimise their processes and assisting management to devise more effective and efficient business strategies. In organisations, management or leadership style play an important role in employees motivation, work satisfaction, work commitment and productivity. Moreover, leadership style shapes up the organisational culture. The aim of this paper is to explore the impact of various leadership styles on employees using data mining techniques. A significant research has taken place in this area using simple statistical methods such as correlation and regression analysis. However, no research has been conducted in this area which used data mining algorithms to extract useful information from the data to examine how leadership styles influence/affect employees. In this research, rule and decision tree based algorithms are used to extract actionable information from the collected data.

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Authors and Affiliations

  1. Waiariki Institute of Technology, Rotorua, New Zealand

    Waseem Ahmad & Muhammad Akhtaruzamman

Authors
  1. Waseem Ahmad
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  2. Muhammad Akhtaruzamman
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Corresponding author

Correspondence to Waseem Ahmad .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Japan Advanced Institute of Science and Technology, Nomi, Japan

    Satoshi Tojo

  3. Japan Advanced Institute of Science and Technology, Nomi, Japan

    Le Minh Nguyen

  4. Wrocław University of Science and Technology, Wroclaw, Poland

    Bogdan Trawiński

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Ahmad, W., Akhtaruzamman, M. (2017). Analytics on the Impact of Leadership Styles and Leadership Outcome. In: Nguyen, N., Tojo, S., Nguyen, L., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2017. Lecture Notes in Computer Science(), vol 10192. Springer, Cham. https://doi.org/10.1007/978-3-319-54430-4_64

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  • DOI: https://doi.org/10.1007/978-3-319-54430-4_64

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54429-8

  • Online ISBN: 978-3-319-54430-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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