刘梦琦,王永梅,陈虹枢,汪雪锋.新时期管理学领域学科交叉研究——基于科学基金重大研究计划的视角[J].情报工程,2023,9(5):003-019 |
新时期管理学领域学科交叉研究——基于科学基金重大研究计划的视角 |
Interdisciplinary Research on Management in the New Era: A Perspective Based on the Major Research Program of the National Natural Science Foundation of China |
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DOI:10.3772/j.issn.2095-915X.2023.05.001 |
中文关键词: 学科交叉;True Diversity;主题模型;重大研究计划 |
英文关键词: Interdisciplinary Research; True Diversity; LDA; Major Research Plan |
基金项目:北京理工大学青年教师学术启动项目“基于主题模型及深度学习的技术演化路径识别研究”。 |
作者 | 单位 | 刘梦琦 | 北京理工大学管理与经济学院 北京 100081 | 王永梅 | 北京理工大学管理与经济学院 北京 100081 | 陈虹枢 | 北京理工大学管理与经济学院 北京 100081 | 汪雪锋 | 北京理工大学管理与经济学院 北京 100081 |
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中文摘要: |
[目的/意义]管理学作为一门兼具自然科学特征与社会人文属性的综合性学科,在信息化与数字化变革的双重冲击下,凸显出越发鲜明的多学科交叉融通的特点。在全球新一轮科技革命和产业变革加速演进的大背景下,管理学与多个学科的交叉与融合,既是科学进步的必然,也响应了我国国家经济社会发展的号召。[方法/过程]本文从国家自然科学基金重大研究计划视角出发,综合运用共现分析、True Diversity 指数以及主题模型等方法,对管理学部现有的两项重大研究计划相关的论文成果展开了系统分析,构建起了主题受关注度 - 跨学科度矩阵。[局限]本文仅就论文成果进行了分析,在样本选择方面存在一定局限性;在进行学科交叉测度时,本文仅选取了“True Diversity”这一指标,在后续研究中需要进一步拓展。[结果/结论]从粗粒度的学科分类代码、细粒度的关键词以及反映研究成果内容的主题三个维度开展分析,重大研究计划成果视角下,管理学领域与其他学科交叉融合较为显著,表明新时期管理学领域正不断扩展研究方法,迭代研究范式,并同时与多个学科进行交叉互融来更好地解决本领域的科学问题。 |
英文摘要: |
[Objective/Significance] As a comprehensive discipline with both natural science characteristics and social & humanistic attributes, management science is highlighting the distinctive characteristics of multidisciplinary inspiration and communication increasingly under the dual impact of information and digital transformation. In the context of a new wave of global technological and industrial revolution, the intersection and integration of management science with multiple disciplines is not only an inevitable part of scientific progress, but also a response to the call for China’s national economic and social development. [Methods/Processes] This article presents a systematic analysis of the two existing projects of the major research
plan of the National Natural Science Foundation of China (NSFC) and their related publications, using cooccurrence analysis, the True Diversity Index and LDA, and constructs a thematic interdisciplinary degree matrix. [Limitations] This paper only analyses the results of dissertations, which is a limitation in the selection of the sample; besides, only the ‘True Diversity’ indicator is applied when measuring interdisciplinarity. The future research should further expand on this. [Results/Conclusions] After analyzing the coarse-grained disciplinary classification codes, fine-grained keywords and themes reflecting the content of the research results, we found that publications funded by major research program show high interdisciplinarity, indicating that the field of management science in the new era is constantly expanding its research methods, iterating its research paradigm, and at the same time, applying knowledge from other disciplines to solve research tasks. |
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