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Knowledge-Managing Organizational Change Effectors, Affectors and Modulators in an Oil and Gas Sector Environment

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 416))

Abstract

Knowledge Management techniques (KMT) have been used effectively in a number of business domains, for dealing with complex management issues. A key area of interest is the use of KMT for managing organizational change in an effective manner. Developmental, transformational and transitional change types are generally influenced by a range of inter-dependent factors. These factors can be broadly categorized as change effectors, affectors and modulators. This paper investigates the use of Knowledge Management techniques for modulating salient change effectors, affectors and modulators influential in the oil and gas sector, within a Middle-Eastern context. Research findings from a recent multi-company case study of oil and gas sector organizations in the Gulf region are presented based on a conceptual framework predicated on crucial change effectors, affectors and modulators. Knowledge Management modulated change factors investigated in the study include worker empowerment, autonomy, participation, communication, culture, normative responsibility, training/re-skilling and reward systems.

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Acknowledgments

The author gratefully acknowledges the support provided by the American University of Ras Al Khaimah, and is appreciative of the input provided by the consultancy team at Hanta Associates, as well as valuable discussions with relevant academic Faculty of the University of Bolton, Bolton-UK and Ras Al Khaimah-UAE Campuses.

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Correspondence to Anthony Ayoola .

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© 2016 Springer International Publishing Switzerland

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Ayoola, A. (2016). Knowledge-Managing Organizational Change Effectors, Affectors and Modulators in an Oil and Gas Sector Environment. In: Kunifuji, S., Papadopoulos, G., Skulimowski, A., Kacprzyk  , J. (eds) Knowledge, Information and Creativity Support Systems. Advances in Intelligent Systems and Computing, vol 416. Springer, Cham. https://doi.org/10.1007/978-3-319-27478-2_32

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  • DOI: https://doi.org/10.1007/978-3-319-27478-2_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27477-5

  • Online ISBN: 978-3-319-27478-2

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