CASPIAN JOURNAL
MANAGEMENT AND HIGH TECHNOLOGIES
METHOD FOR DEVELOPMENT TRENDS ANALYSIS OF ASSET PERFORMANCE MANAGEMENT TECHNOLOGIES
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Read | Nguyen Thanh Viet, Kravets Alla G., Shcherbakov Maksim V. METHOD FOR DEVELOPMENT TRENDS ANALYSIS OF ASSET PERFORMANCE MANAGEMENT TECHNOLOGIES // Caspian journal : management and high technologies. — 2022. — №1. — pp. 39-53. |
Nguyen Thanh Viet - post-graduate student, Volgograd State Technical University, vietqn1987@gmail.com
Kravets Alla G. - Doct. Sci. (Engineering), Professor, Volgograd State Technical University, agk@gde.ru
Shcherbakov Maksim V. - Doct. Sci. (Engineering), Professor, Volgograd State Technical University, maxim.shcher bakov@gmail.com
In order to remain competitive in a rapidly changing science environment, it is important to keep track of the development of existing technologies, to discover new and promising technical solutions. An enterprise needs to develop an innovative development strategy based on a forecast of new technologies in order to gain a competitive advantage while using limited resources. The paper proposes a method for analyzing the trend of technology development in the field of asset performance management (APM), implemented the selection of the most influential factors (inventors, scientists, organizations). The Lens system, the flagship project of the social organization Cambia, was used as a data source. The initial dataset included 115677 patents, after pre-processing, taking into account the earliest priority date in the period 2010-2021 and grouping by simple families, 30706 patents were received. Out of 18073 scientific publications devoted to the topic of the APM field, 9069 were selected in the period 2010-2021 for further analysis. In addition, 29943 scientific publications cited in found APM patents were also analyzed. The main areas of research and their trends in the field of APM over the past 12 years (2010-2021) were explored. Moreover, the top-20 research subjects and 9 uptrend subjects in publications were also identified.
Key words: asset performance management, data analysis, technology analysis, patent, scientific publications, Asset Performance Management (APM)