Using Data Envelope Analysis for Measurement of Entrepreneurial Network Performance in Manufacturing Firms

IF 1.9 Q3 ENGINEERING, INDUSTRIAL Production Engineering Archives Pub Date : 2023-08-28 DOI:10.30657/pea.2023.29.31
P. Tomski
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引用次数: 1

Abstract

Abstract The aim of the paper is the analysis of the possibilities of measurement of entrepreneurial network performance in manufacturing firms, using Data Envelope Analysis (DEA) method – a non-parametric approach, allowing for the assessment of the effectiveness of the entrepreneur’s social networks in the context of generating information effects. The research uses data obtained from 30 randomly selected Polish enterprises to explore the levels of entrepreneurial networks and their information effects (as performance indicator). The research limitations are the following: the research is limited exclusively to Polish randomly selected entities, and the results cannot be generalized. The originality/value of this paper consists in the fact that this study constitutes both the contribution to the development of the discipline of management and practical guidelines for managers-entrepreneurs since it should be pinpointed that the recognition of the efficiency of gathering information from social networks can be the basis for the conscious creation of the effectiveness of acquiring information from social networks, and thus the conscious use of social networks in economic activity. The novelty of the results presented consists in filling the gap while conducting the research taking into account the assessment of entrepreneurial networks performance using DEA method.
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基于数据包络分析的制造业企业创业网络绩效测度
摘要本文的目的是使用数据包络分析(DEA)方法——一种非参数方法——分析制造企业企业家网络绩效的测量可能性,从而评估企业家社交网络在产生信息效应的背景下的有效性。该研究使用从30家随机选择的波兰企业中获得的数据来探索创业网络的水平及其信息效应(作为绩效指标)。研究的局限性如下:该研究仅限于波兰随机选择的实体,结果不能概括。这篇论文的独创性/价值在于,这项研究既是对管理学科发展的贡献,也是对管理者和企业家实用指南的贡献,因为应该指出,对从社交网络收集信息的效率的认识可以成为有意识地创造从社交网络获取信息,从而在经济活动中有意识地使用社交网络。所提出的结果的新颖性在于,在进行研究时填补了空白,同时考虑了使用DEA方法对创业网络绩效的评估。
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来源期刊
Production Engineering Archives
Production Engineering Archives Engineering-Industrial and Manufacturing Engineering
CiteScore
6.10
自引率
13.00%
发文量
50
审稿时长
6 weeks
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