Crisis resilience assessment and management of public utility companies

Author:

Tkachenko Irina1,Chechulin Ivan1

Affiliation:

1. Ural State University of Economics, Ekaterinburg, Russia

Abstract

Currently, the most frequently used models for forecasting the probability of company bankruptcy in the housing and utilities sector lack accuracy. The hypothesis is put forward that crisis resilience of a company can be assessed based on its adaptive capabilities. The paper aims to construct a more accurate compared to the known regression model for predicting bankruptcies, as well as develop models for assessing the quality of crisis adaptation management at public utility companies allowing for the stakeholders’ interests and peculiarities of their interface. The methodological basis of the study consists of the theory of crisis management and a stakeholder approach. The methods include multiple regression analysis, stakeholder mapping, sociological survey, and expert assessments. The evidence comes from the accounting and statistical reporting of 49 public utility companies, materials of arbitration cases, survey results of 33 heads of organisations obtained in the period from February to March 2023. The theoretical developments are implemented within the empirical studies of public utility companies. To improve crisis adaptation and resilience of public utility companies the findings recommend to launch staff training programmes, establish mechanisms for horizontal intra-sectoral connections and maintain cooperation at the level of public authorities in order to control investments in the housing and utilities sector.

Publisher

Ural State University of Economics

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3