学术期刊作为知识生产者:基于数据包络分析的理论与实证证据

Scholarly Journals as Producers of Knowledge: Theory and Empirical Evidence Based on Data Envelopment Analysis

ORGANIZATIONAL RESEARCH METHODS · 2005
被引 50
人大 A-ABS 4

中文导读

将学术期刊视为知识生产者,以管理学期刊为例,用数据包络分析评估其相对效率并排名,发现扩大编委会、降低订阅价格和录用率能提升绩效。

Abstract

There have been numerous studies that rank journals based on relative quality. These have generally failed to address some important theoretical and empirical issues relating to productivity. As an alternative, the authors outline a theoretical framework in which an academic journal is considered to be a “producer” of intellectual output. Using the field of management as an example, the authors specify the inputs and outputs of the production process and estimate the relative efficiency of journals using Data Envelopment Analysis. The derived measures of relative productivity are then used to develop a productivity ranking of journals. To explain why some journals use inputs more efficiently than others, the authors regress the estimates of relative efficiency on a set of managerial factors and suggest means to increase relative efficiency. The authors find that increasing the size of the editorial board and reducing both the subscription price and the acceptance rate will enhance the relative performance of an academic journal.

管理学学术期刊评价数据包络分析生产效率