How do we measure firm performance? A review of issues facing entrepreneurship researchers

Josh Siepel, M. Dejardin
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引用次数: 7

Abstract

This paper aims to provide a succinct overview of the important challenges facing researchers seeking to perform firm level research, along with an overview of the different data sources that may be used, and some techniques that can be employed to ensure that data is robust. An emphasis is put on the linked importance of research design and choice of data. We discuss quantitative data and, more specifically, the measures used to observe firm performance, and present different types of data sources that researchers may use when studying firm level data, i.e. self-report data, official statistics, commercial data, combinations of data, and Big Data. We examine potential problems with data, from measurement to respondent and researcher errors. Finally, some key points and some avenues for future research are briefly reviewed.
我们如何衡量公司绩效?创业研究人员面临的问题综述
本文旨在简要概述研究人员在进行公司层面研究时面临的重要挑战,以及可能使用的不同数据源的概述,以及可以采用的一些技术,以确保数据是稳健的。重点放在研究设计和数据选择的关联重要性上。我们讨论了定量数据,更具体地说,是用来观察企业绩效的措施,并提出了研究人员在研究企业层面数据时可能使用的不同类型的数据源,即自我报告数据、官方统计数据、商业数据、数据组合和大数据。我们检查数据的潜在问题,从测量到被调查者和研究者的错误。最后,对今后的研究重点和方向作了简要的展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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