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.
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.
Over the last decade, academic literature has seen a boom in the number of publications devoted to the notion of ecosystem, which has resulted in the emergence of various research streams and the corresponding fragmentation of the research domain. The existing variation in meanings and contradictory definitions shows the need for a thorough literature review on the three tightly related concepts of innovation ecosystem, business ecosystem and entrepreneurial ecosystem. This study is based on a mixed technique, which combines a bibliometric analysis and an in-depth investigation of papers devoted to these research streams. Through examining their theoretical background, constructing conceptual structures and performing an in-depth analysis we were able to define the essence of innovation, business and entrepreneurial ecosystems as well as their distinctive features. We then proceeded with a comparative analysis of these concepts, which allowed us to outline the existing similarities and to demarcate the concepts from an ontological perspective. This study provides definitive clarification regarding the existing conceptual mix in the field of ecosystem research, and can be used as a foundation for a further investigation of the concept.
PurposeThe 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/approachThe 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.FindingsThe 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/implicationsThe 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/valueThe novelty of the framework lies in the scope, focus and detailed treatment of asset data management in electric power companies.
The electric energy industry plays a crucial role in the technological support of digitalization, and this leads to an increase in the requirements for its development. Leading developed countries are currently under energy transition and are creating innovative, intelligent energy systems (IES) of open type, which include active consumers, distributed generation mechanisms and the introduction of renewable energy sources. One can observe a deep structural transformation, expansion of the range of participants and creation of new value chains. The development of digitalization and IES provides with new opportunities for sustainable development of the economy and society. This stage facilitates the creation of new tasks for the investment climate in the power industry, so the development of an institutional system is justified
Traditional retail electricity market models transform under the condition of new technologies development and institutional changes in countries and worldwide. New models of the retail electricity market need to be adopted to recent requirements made by different stakeholders. The purpose of this study is to advance the understanding of transformation of the electricity retail market in different countries through introducing a uniform framework for comparison. The findings provide insights for experts and authorities on how the changes in the dynamic environment led to the emergence of new market models in six surveyed countries. Specific features of different models are highlighted to ensure optimal working conditions and incorporation with managerial practices in the industry as well as to help policy makers to understand what additional measures may boost the competition in retail electricity markets.
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