Major shifts in the competitive environment encouraged a recent growth in the number of academic articles devoted to strategic aspects of asset management. Organizations start to recognize that a strategic approach to asset management becomes a source of sustainable competitive advantages and long-term survival in the turbulent environment. However, existing studies are largely case-specific in interpreting strategy and draw on various theoretical grounds and approaches. This leads to little theoretical and methodological consistency in understanding current findings and how to design future studies. The key goal of this paper is to systematically review the existing research through the analysis of over 700 articles devoted to asset management with a focus on strategic aspects. Our key contributions are positioning strategic asset management within the vast field of asset management research, describing the nature of strategic asset management research, and confirming that asset management strategies align with different levels of organizational strategy. We visualize the existing research field, and indicate gaps and underdeveloped areas of research. We also shortly outline future research directions based on our findings, thus encouraging a more coherent development of research on strategic asset management.

This article aims to investigate the role of waste management in the development of modern green and smart cities and to determine the existence of several key points in programs transforming cities into green cities with smart technologies. The relevance of the research is determined by the need to develop a theoretical and methodological basis for the green and smart city concepts. The research process involved the following methods: Scientific analysis, comparison, and synthesis. The research results of the case study of Russia determined that for urban territories with great distances between urban districts, waste sorting stations should be located as parts of so-called waste recycling complexes at intermunicipal landfills. This will allow a more fully implementation of the concept of recycling economy not only in Russian cities, but also in other cities with sparse populations across the world. Further, the authors conclude that the effectiveness of green technologies in modern cities, especially in waste management, depends on the level of participation of citizens. People are active participants in the life processes of cities and have a direct impact on the urban environment. Consequently, the introduction of green technologies can only be achieved in harmony with the well-established behavioral attitudes of city residents together with the implementation of green and smart urban technologies.

Nowadays, one of the most imminent problems facing power systems in post-industrial countries is the sustainable development of power systems under conditions of increasing power consumption irregularity due to the reduction of the industry’s share in consumers’ demand for electric power. In today’s Russia, this issue is becoming very acute due to the significant share of electric power and heat co-generation that is demonstrating low manoeuvrability and poor adaptation to operations in the daily variation of electric power demand. This paper considers the problem of improving the power system steady-state through the optimization of the production structure of thermal power plants. We propose a combinatorial algorithm that improves the planning of the structural and technological modernization of the power equipment configuration, with a glance at the forecast of the increasing irregularity of power consumption.

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.

The paper is devoted to the assessment of the prospects of implementing clean energy sources in Russia, where the current energy policy goal is to increase the role of renewable and clean energy sources. The research is based on data from the Krasnoyarsk Region as one of the largest territories but also as a representative model of Russia. The aim of the study is to identify where and which renewable energy source (solar, wind, hydro and nuclear) has the highest potential. The novelty of our research lies in its holistic nature: authors consider both geographical and technical potential for renewable energy sources development as well as prospective demand for such resources, while previous research is mostly focused on specific aspects of renewable energy development. We also consider the level of air pollution as an important factor for the development of renewable energy sources. The results of the study show that there is a strong potential for clean energy sources in the Krasnoyarsk Region. The resulting matrix identifies the potential of energy sources across all the municipal entities and also indicates whether the source of energy is primary or supplemental and where several sources may be implemented in cooperation.