A. Babkin, N. Alekseeva, Guljakhon Makhmudova, Anna Yung
{"title":"创新活跃型产业集群发展研究与评价","authors":"A. Babkin, N. Alekseeva, Guljakhon Makhmudova, Anna Yung","doi":"10.1145/3444465.3444485","DOIUrl":null,"url":null,"abstract":"The competitive companies' development within the Fourth Industrial Revolution makes the market participants search for the most effective business methods including cluster formation. The research papers review on the enterprises activity performance in clusters revealed the contradictive effectiveness of the companies' results as cluster members which signifies the relevance of the given research. The paper considers the cluster development potentials of the innovatively-active industrial companies through the trend data dynamics of innovatively active industrial cluster participants and the comparison of the achieved financial goals to the average market values. The subject examined is the cluster and its participant members efficiency. The innovatively-active industrial cluster is the object of the investigation. The aim of the research is to assess the innovatively-active industrial cluster performance the development of which happens due to the new companies' entry. The sales value per employee, profit indicator per employee, and return on sales value are assessed. Based on the results received we admit the intellectual cluster capital to strengthen the cluster companies performance indicators. According to the analysis, the sales revenue per 1 employee per year is about 55% of the average market value, the profit per 1 employee per year is 1.7 times higher than the average market value. The return on sales of the cluster members is almost 3 times higher than by the type of activity. The analyzed data demonstrate the more effective performance of the cluster members as well as the cluster intellectual capital presence, created due to the synergistic effect of the united innovatively-active enterprises. The presented analysis of the retrospective cluster members performance indicators helped assess the entry cluster potentials as profitable for the company which in turn marks the whole innovatively active enterprise cluster development as beneficial. Further data clarification and performance indicators expansion used in the analysis is the future goal of the undertaken research.","PeriodicalId":249209,"journal":{"name":"Proceedings of the 2nd International Scientific Conference on Innovations in Digital Economy","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Research and Assessment of Innovatively-Active Industrial Cluster Development\",\"authors\":\"A. Babkin, N. Alekseeva, Guljakhon Makhmudova, Anna Yung\",\"doi\":\"10.1145/3444465.3444485\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The competitive companies' development within the Fourth Industrial Revolution makes the market participants search for the most effective business methods including cluster formation. The research papers review on the enterprises activity performance in clusters revealed the contradictive effectiveness of the companies' results as cluster members which signifies the relevance of the given research. The paper considers the cluster development potentials of the innovatively-active industrial companies through the trend data dynamics of innovatively active industrial cluster participants and the comparison of the achieved financial goals to the average market values. The subject examined is the cluster and its participant members efficiency. The innovatively-active industrial cluster is the object of the investigation. The aim of the research is to assess the innovatively-active industrial cluster performance the development of which happens due to the new companies' entry. The sales value per employee, profit indicator per employee, and return on sales value are assessed. Based on the results received we admit the intellectual cluster capital to strengthen the cluster companies performance indicators. According to the analysis, the sales revenue per 1 employee per year is about 55% of the average market value, the profit per 1 employee per year is 1.7 times higher than the average market value. The return on sales of the cluster members is almost 3 times higher than by the type of activity. The analyzed data demonstrate the more effective performance of the cluster members as well as the cluster intellectual capital presence, created due to the synergistic effect of the united innovatively-active enterprises. The presented analysis of the retrospective cluster members performance indicators helped assess the entry cluster potentials as profitable for the company which in turn marks the whole innovatively active enterprise cluster development as beneficial. Further data clarification and performance indicators expansion used in the analysis is the future goal of the undertaken research.\",\"PeriodicalId\":249209,\"journal\":{\"name\":\"Proceedings of the 2nd International Scientific Conference on Innovations in Digital Economy\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd International Scientific Conference on Innovations in Digital Economy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3444465.3444485\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd International Scientific Conference on Innovations in Digital Economy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3444465.3444485","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research and Assessment of Innovatively-Active Industrial Cluster Development
The competitive companies' development within the Fourth Industrial Revolution makes the market participants search for the most effective business methods including cluster formation. The research papers review on the enterprises activity performance in clusters revealed the contradictive effectiveness of the companies' results as cluster members which signifies the relevance of the given research. The paper considers the cluster development potentials of the innovatively-active industrial companies through the trend data dynamics of innovatively active industrial cluster participants and the comparison of the achieved financial goals to the average market values. The subject examined is the cluster and its participant members efficiency. The innovatively-active industrial cluster is the object of the investigation. The aim of the research is to assess the innovatively-active industrial cluster performance the development of which happens due to the new companies' entry. The sales value per employee, profit indicator per employee, and return on sales value are assessed. Based on the results received we admit the intellectual cluster capital to strengthen the cluster companies performance indicators. According to the analysis, the sales revenue per 1 employee per year is about 55% of the average market value, the profit per 1 employee per year is 1.7 times higher than the average market value. The return on sales of the cluster members is almost 3 times higher than by the type of activity. The analyzed data demonstrate the more effective performance of the cluster members as well as the cluster intellectual capital presence, created due to the synergistic effect of the united innovatively-active enterprises. The presented analysis of the retrospective cluster members performance indicators helped assess the entry cluster potentials as profitable for the company which in turn marks the whole innovatively active enterprise cluster development as beneficial. Further data clarification and performance indicators expansion used in the analysis is the future goal of the undertaken research.