{"title":"通过参考出版年光谱(RPYS)识别知识管理系统频谱中的开创性作品","authors":"Daud Khan, Basharat Ahmad Malik, N. Ali","doi":"10.1080/09737766.2020.1833691","DOIUrl":null,"url":null,"abstract":"The aim of the present study is to identify the seminal works in the spectrum of knowledge management system (KMS) by employing a recently developed scientometric technique viz. Reference Publication Year Spectroscopy (RPYS). Preliminary data of the study was extracted from Web of Science by using two phrases i.e., \"Knowledge Management System\" and \"Knowledge Management Systems\" to search in terms of topic (comprising the four parts: title, author keywords, abstract and KeyWords Plus). The search was confined to the time span from 1974 to 2017 which formulated a dataset of 1541 documents covering 37826 cited references. The seminal publications were associated with peak years of 1958, 1959, 1962, 1966, 1967, 1975, 1986, 1991, 1995 and 1998. In the second historical analysis, N_TOP10 indicator of CREx-plorer further identified seven landmark publications related to KMS. Landmark publications were described as those belonging to the top 10% of the most frequently cited publications for more than 15 years. In essence, this study identified 18 seminal/landmark works in the continuum of KMS. Moreover, the results of the investigation on seminal/ landmark works revealed that the subject of KMS is rooted in the areas of anatomy, economics, entrepreneurship, information systems, operations management, computer science, and management science. The results of this study could be useful for researchers, practitioners working in the spectrum of KMS.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"163 - 176"},"PeriodicalIF":1.6000,"publicationDate":"2020-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2020.1833691","citationCount":"1","resultStr":"{\"title\":\"Identification of seminal works in the spectrum of knowledge management system through Reference Publication Year Spectroscopy (RPYS)\",\"authors\":\"Daud Khan, Basharat Ahmad Malik, N. Ali\",\"doi\":\"10.1080/09737766.2020.1833691\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of the present study is to identify the seminal works in the spectrum of knowledge management system (KMS) by employing a recently developed scientometric technique viz. Reference Publication Year Spectroscopy (RPYS). 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引用次数: 1
摘要
本研究的目的是通过使用最近开发的科学计量技术,即参考出版年份光谱学(RPYS),来确定知识管理系统(KMS)领域的开创性工作。该研究的初步数据是从Web of Science中提取的,使用“知识管理系统”和“知识管理体系”两个短语按主题进行搜索(包括标题、作者关键字、摘要和关键字加四个部分)。搜索仅限于1974年至2017年的时间跨度,该时间跨度形成了1541份文献的数据集,涵盖37826篇引用文献。这些开创性的出版物与1958年、1959年、1962年、1966年、1967年、1975年、1986年、1991年、1995年和1998年的高峰期有关。在第二次历史分析中,CREx plorer的N_TOP10指标进一步确定了七个与KMS相关的里程碑式出版物。里程碑式的出版物被描述为在超过15年的时间里,属于最常被引用出版物的前10%。本质上,本研究在KMS的连续体中确定了18部具有开创性/里程碑意义的作品。此外,对开创性/里程碑式作品的调查结果显示,KMS的主题植根于解剖学、经济学、创业学、信息系统、运营管理、计算机科学和管理科学领域。这项研究的结果可能对KMS领域的研究人员和从业者有用。
Identification of seminal works in the spectrum of knowledge management system through Reference Publication Year Spectroscopy (RPYS)
The aim of the present study is to identify the seminal works in the spectrum of knowledge management system (KMS) by employing a recently developed scientometric technique viz. Reference Publication Year Spectroscopy (RPYS). Preliminary data of the study was extracted from Web of Science by using two phrases i.e., "Knowledge Management System" and "Knowledge Management Systems" to search in terms of topic (comprising the four parts: title, author keywords, abstract and KeyWords Plus). The search was confined to the time span from 1974 to 2017 which formulated a dataset of 1541 documents covering 37826 cited references. The seminal publications were associated with peak years of 1958, 1959, 1962, 1966, 1967, 1975, 1986, 1991, 1995 and 1998. In the second historical analysis, N_TOP10 indicator of CREx-plorer further identified seven landmark publications related to KMS. Landmark publications were described as those belonging to the top 10% of the most frequently cited publications for more than 15 years. In essence, this study identified 18 seminal/landmark works in the continuum of KMS. Moreover, the results of the investigation on seminal/ landmark works revealed that the subject of KMS is rooted in the areas of anatomy, economics, entrepreneurship, information systems, operations management, computer science, and management science. The results of this study could be useful for researchers, practitioners working in the spectrum of KMS.