Unboxing organisational complexity: how does it affect business performance during the COVID-19 pandemic?

IF 1.5 Q2 ECONOMICS

Journal of Entrepreneurship and Public Policy Pub Date : 2021-08-23 DOI:10.1108/jepp-06-2021-0070

Jorgina Pereira, Vítor Braga, Aldina Correia, Aidin Salamzadeh

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引用次数: 15

Abstract

PurposeThis study aims to distinguish businesses by their degree of complexity and to analyse the influence of complexity on the performance of firms during the coronavirus disease 2019 (COVID-19) pandemic.Design/methodology/approachData were collected from 468 businesses, and various multivariate statistical techniques were used. Initially a factor analysis was conducted, organising variables into five factors. A discriminant analysis, performed with the five factors, allowed discriminating firms based on whether they internationalise or not. A linear regression was performed in order to estimate the contribution of each factor in the business performance.FindingsThe results suggest the existence of additional variables for measuring the complexity. From the factorial analysis it is possible to conclude that business complexity can be explained by size, indebtedness and profitability, internationalisation, number of employees, and age and leverage. Total assets, indebtedness and age are the variables that contribute the most to business performance. On the other hand, indebtedness, internationalisation, age and leverage are the independent variables that most contribute to explain business performance.Originality/valueThis paper presents advances in two ways. First, it proposes measures of complexity (highly debatable in the literature). It also proposes internationalisation as an explanation of complexity. Second, this paper sheds light on businesses decisions to grow, taking into account how complexity may affect performance.

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拆解组织复杂性:在COVID-19大流行期间，它如何影响业务绩效?

本研究旨在通过企业的复杂程度来区分企业，并分析复杂性对2019年冠状病毒病(COVID-19)大流行期间企业绩效的影响。设计/方法/方法从468家企业收集数据，并使用了各种多元统计技术。最初进行了因子分析，将变量组织为五个因素。通过对这五个因素进行判别分析，可以根据公司是否国际化来对其进行判别。为了估计每个因素对企业绩效的贡献，进行了线性回归。结果表明，存在额外的变量来衡量复杂性。从析因分析可以得出结论，业务复杂性可以通过规模，负债和盈利能力，国际化，员工人数，年龄和杠杆来解释。总资产、负债和年龄是对经营业绩贡献最大的变量。另一方面，负债、国际化、年龄和杠杆是最能解释企业绩效的独立变量。原创性/价值本文从两个方面提出了进展。首先，它提出了复杂性的度量方法(在文献中存在很大争议)。它还提出将国际化作为复杂性的一种解释。其次，考虑到复杂性如何影响性能，本文阐明了企业增长决策。

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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来源期刊

Journal of Entrepreneurship and Public Policy ECONOMICS-

CiteScore

3.70

自引率

15.80%

发文量

期刊介绍： Institutions – especially public policies – are a significant determinant of economic outcomes; entrepreneurship and enterprise development are often the channel by which public policies affect economic outcomes, and by which outcomes feed back to the policy process. The Journal of Entrepreneurship & Public Policy (JEPP) was created to encourage and disseminate quality research about these vital relationships. The ultimate aim is to improve the quality of the political discourse about entrepreneurship and development policies. JEPP publishes two issues per year and welcomes: Empirically oriented academic papers and accepts a wide variety of empirical evidence. Generally, the journal considers any analysis based on real-world circumstances and conditions that can change behaviour, legislation, or outcomes, Conceptual or theoretical papers that indicate a direction for future research, or otherwise advance the field of study, A limited number of carefully and accurately executed replication studies, Book reviews. In general, JEPP seeks high-quality articles that say something interesting about the relationships among public policy and entrepreneurship, entrepreneurship and economic development, or all three areas. Scope/Coverage: Entrepreneurship, Public policy, Public policies and behaviour of economic agents, Interjurisdictional differentials and their effects, Law and entrepreneurship, New firms; startups, Microeconomic analyses of economic development, Development planning and policy, Innovation and invention: processes and incentives, Regional economic activity: growth, development, and changes, Regional development policy.