Implementing asset data management in power companies. Issue 2 (11th May 2021)

• Record Type: Journal Article
• Authors: Gavrikova, Elizaveta; Volkova, Irina; Burda, Yegor
• Is Part Of: International journal of quality & reliability management. Volume 39:Issue 2(2022)
• Page Start: 588
• Page End: 611
• Publication Date: 2021-05-11
• Subjects: Engineering assets -- Power industry -- Asset management -- Asset data management -- Power companies -- Data quality; Quality control -- Periodicals; 658.562
• DOI: 10.1108/IJQRM-10-2020-0346
• Languages: English
• ISSNs: 0265-671X

Abstract

Abstract : Purpose: The purpose of this paper is to design a framework for asset data management in power companies. The authors consider asset data management from a strategic perspective, linking operational-level data with corporate strategy and taking into account the organizational context and stakeholder expectations. Design/methodology/approach: The authors conducted a multiple case study based on a literature review and three series of in-depth interviews with experts from three Russian electric power companies. Findings: The main challenge in asset data management for electric power companies is the increasing amount and complexity of asset data, which is frequently incomplete or inaccurately collected, hard to translate to managerial language, focused primarily on the operational level. Such fragmented approach negatively affects strategic decision-making. The proposed framework introduces a holistic approach, provides context and accountability for decision-making and attributes data flows, roles and responsibilities to different management levels. Research limitations/implications: The limitations of our study lie in the exploratory nature of case study research and limited generalization of the observed cases. However, the authors used multiple sources of evidence to ensure validity and generalization of the results. This article is a first step toward further understanding of the issues of transformation in power companies and other asset intensive businesses. Originality/value: The novelty of the framework lies in the scope, focus and detailed treatment of asset data management in electric power companies.