{"title":"中小企业知识显性网络及其与生产力的关系","authors":"Giselle Pinochet","doi":"10.4067/s0718-27242021000100067","DOIUrl":null,"url":null,"abstract":"This study presents a model is presented to evaluate the correlation between the clarification of knowledge and the productivity of companies. The model is based on network science, and on a fuzzy clustering algorithm, and is applied to a sample of 40 Colombian SMEs. The results show that the network measures selected as indicators of the model have a high and significant correlation with productivity and allow companies to be clustered into four performance categories. The implications of the findings are analyzed, as a contribution to overcome the challenge of measuring processes related to knowledge management and future lines of research are proposed based on the limitations of the study.","PeriodicalId":40014,"journal":{"name":"Journal of Technology Management and Innovation","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Redes de Explicitación del Conocimiento y su Relación con la Productividad en Pymes\",\"authors\":\"Giselle Pinochet\",\"doi\":\"10.4067/s0718-27242021000100067\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study presents a model is presented to evaluate the correlation between the clarification of knowledge and the productivity of companies. The model is based on network science, and on a fuzzy clustering algorithm, and is applied to a sample of 40 Colombian SMEs. The results show that the network measures selected as indicators of the model have a high and significant correlation with productivity and allow companies to be clustered into four performance categories. The implications of the findings are analyzed, as a contribution to overcome the challenge of measuring processes related to knowledge management and future lines of research are proposed based on the limitations of the study.\",\"PeriodicalId\":40014,\"journal\":{\"name\":\"Journal of Technology Management and Innovation\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-05-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Technology Management and Innovation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4067/s0718-27242021000100067\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Business, Management and Accounting\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Technology Management and Innovation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4067/s0718-27242021000100067","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
Redes de Explicitación del Conocimiento y su Relación con la Productividad en Pymes
This study presents a model is presented to evaluate the correlation between the clarification of knowledge and the productivity of companies. The model is based on network science, and on a fuzzy clustering algorithm, and is applied to a sample of 40 Colombian SMEs. The results show that the network measures selected as indicators of the model have a high and significant correlation with productivity and allow companies to be clustered into four performance categories. The implications of the findings are analyzed, as a contribution to overcome the challenge of measuring processes related to knowledge management and future lines of research are proposed based on the limitations of the study.
期刊介绍:
JOTMI is a quarterly indexed electronic journal, refereed and edited by Business and Economy Faculty at Alberto Hurtado University. Its mission is to publish original and novel literature in the fields of technology management and innovation; putting emphasis in topics relevant in a global fashion, remarking in Latin-Ibero-America and the Caribbean. The objective of the journal is to analyze the impact that global technological change has on society and to disseminate the best management practices of companies and organizations.