Closed-Loop Supply Chain: A bibliometric and visualization analysis

The article is devoted to studying knowledge marketing as a tool for promoting educational and scientific services from the developer (university) to the consumer (industry and business). The main stages of knowledge generation following the DIKW model and the procedure for their further implementation are shown. Based on the bibliometric analysis of keywords clusters and the most popular research topics in the field of "knowledge marketing", the relevance of implementing the chain "idea - investigation - implementation - industry" was confirmed. The M4I-mix approach is proposed for detailing the main processes occurring at each stage of knowledge marketing and identifying significant indicators that should be influenced. Examples of using the M4I-mix approach to promote educational services and commercialize research results are given.

show abstract

“…• implementation of innovations into production and business [13][14][15][16][17][18][19][20][21][22];…”

Section: Figmentioning

confidence: 99%

Knowledge marketing: M4I-mix model of evaluation

Аrtyukhova

Hordiienko

Motrechko³

et al. 2021

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

“…In the papers [8,7], the authors conducted the bibliometric analysis of existing treatises devoted to renewable energy and energy efficiency. Therefore, the findings revealed new directions for national economic decarbonization [9] raise by energy efficiency growth under simultaneous development of alternative and environmentally friendly fuels.…”

Section: Introductionmentioning

confidence: 99%

Evolutionary development of energy efficiency in the context of the national carbon-free economic development

et al. 2021

View full text Add to dashboard Cite

This research aims to analyse the evolutionary development of the scientific treatises devoted to the national economic energy efficiency. To attain the paper’s goal, this study is carried out in the following logical sequence: 1) identification and generation of the necessary relevant data: 2) analysis of keywords co-occurrence to determine the promising research areas on energy efficiency. The authors used keywords “energy policy”, “energy efficiency”, “sustainable development” to generate the relevant study sample. Thus, the study sample consists of 48,888 publications indexed by the scientometric databases Scopus and Web of Science. The study period is 2000-2020. Visualization of the bibliometric analysis results concerning the national economic energy efficiency management was conducted using the VOSviewer software v.1.6.10. The co-occurrence network map identified the six stages of evolutionary development of scientific treatises on the national economic energy efficiency. Besides, the authors applied Google Trends tools to analyse 2,172 internet search queries regarding the social concern in energy efficiency. In the study, the authors conclude that the scientific society has not yet reached a consensus in identifying key determinants of energy efficiency under the national economy transition to a carbon-free development model. The research results can be helpful for scholars investigating the determinants of developing the national economic energy efficiency.

show abstract

“…The researchers [50][51][52][53][54][55] justified why economic and marketing determinants of the competitive advantages formation have a significant value for creating a new potential and growing market share for the companies. At the same time, many scientific articles describe linkages between environment and economic indicators .…”

Section: Introductionmentioning

confidence: 99%

Key indicators of green competitiveness: the EU and Ukraine’s performance

2021

View full text Add to dashboard Cite

Implementation of the Global Sustainable Development Goals 2030 highlights the necessity to accelerate the dynamic processes of changing traditional approaches to doing business, favouring environmentally friendly and responsible ones. The article aims to research the structural environment of developing green competitiveness on the global level. The paper used the methods of structural analysis to determine the main drivers of forming green competitive advantages, correlation analysis for measuring links between the global sustainable competitiveness and countries’ GDP per capita. The authors emphasise the country's level of green competitiveness described by the Global sustainable competitiveness index. The paper investigated the ability of Ukraine to generate competitive advantages by analysing key determinants connected with natural capital, resource intensity, intellectual capital, social cohesion, and governance compared to the world level. The analysis of the essential components of green competitiveness showed a significant number of organisational and economic prerequisites for its formation and improvement. The impacts of sustainable competitiveness on GDP increases over time. In that context it is essential to decide on economic and management policies following the promotion of green competitiveness results. The findings could be used for improving a basis for creating strategies for green competitiveness promotion on the countries’ level.

show abstract

Closed-Loop Supply Chain: A bibliometric and visualization analysis

Cited by 14 publications

References 20 publications

Knowledge marketing: M4I-mix model of evaluation

Knowledge marketing: M4I-mix model of evaluation

Evolutionary development of energy efficiency in the context of the national carbon-free economic development

Key indicators of green competitiveness: the EU and Ukraine’s performance

Contact Info

Product

Resources

About