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探究专业化、冒险精神和技术创新对企业绩效的影响。

Exploring the effect of professionalization, risk-taking and technological innovation on business performance.

机构信息

Department of Applied Economics (Mathematics), University of Malaga, Malaga, Spain.

Department of Accounting and Finance, University of Murcia, Murcia, Spain.

出版信息

PLoS One. 2022 Feb 10;17(2):e0263694. doi: 10.1371/journal.pone.0263694. eCollection 2022.

DOI:10.1371/journal.pone.0263694
PMID:35143572
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8830696/
Abstract

The aim of this paper is to analize the influence of professionalization over firm's performance and the effect of two mediating variables, risk-taking and technological innovation. A total of 310 Spanish SMEs were surveyed, and the study was conducted using partial least squares path modelling (PLS-SEM) technique. The findings showed that firm's performance is influenced by professionalization, risk-taking and technological innovation. These effects are not only direct and positive, but there are also important indirect effects that reinforce the positive effects of professionalization on firm's performance. This research contributes to the literature on professionalization considering mediating effects of risk-taking and technological innovation in the relationship between professionalization and firm's performance. The results provide interesting implications for theory and practice, indicating how companies can orient their strategies with the aim of gaining competitive advantage in order to increase their performance.

摘要

本文旨在分析专业化对企业绩效的影响,以及风险承担和技术创新这两个中介变量的作用。通过对 310 家西班牙中小企业进行调查,本研究采用偏最小二乘路径建模(PLS-SEM)技术进行。研究结果表明,企业绩效受到专业化、风险承担和技术创新的影响。这些影响不仅是直接和积极的,而且还有重要的间接影响,这些影响强化了专业化对企业绩效的积极影响。这项研究为专业化文献做出了贡献,考虑了风险承担和技术创新在专业化与企业绩效之间关系中的中介效应。研究结果为理论和实践提供了有趣的启示,表明企业如何能够制定战略,以获得竞争优势,从而提高绩效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8a6/8830696/c0f8cea0a144/pone.0263694.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8a6/8830696/7230fbd17bbb/pone.0263694.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8a6/8830696/c0f8cea0a144/pone.0263694.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8a6/8830696/7230fbd17bbb/pone.0263694.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8a6/8830696/c0f8cea0a144/pone.0263694.g002.jpg

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本文引用的文献

1
Partial least squares path modeling using ordinal categorical indicators.使用有序分类指标的偏最小二乘路径建模。
Qual Quant. 2018;52(1):9-35. doi: 10.1007/s11135-016-0401-7. Epub 2016 Sep 14.
创新网络中的企业互动如何影响技术创新绩效:技术创新能力和吸收能力的作用。
PLoS One. 2023 Mar 2;18(3):e0282540. doi: 10.1371/journal.pone.0282540. eCollection 2023.