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运用阿尔基尔-福斯特方法评估中小企业的数字转型。

Evaluating digital transformation in small and medium enterprises using the Alkire-Foster method.

作者信息

Moreira Luís L, Pinto Sofia S, Costa Leonardo, Araújo Nuno

机构信息

Universidade Católica Portuguesa, Católica Porto Business School, Portugal.

Universidade Católica Portuguesa, Católica Porto Business School, Research Centre in Management and Economics, Portugal.

出版信息

Heliyon. 2025 Jan 10;11(2):e41838. doi: 10.1016/j.heliyon.2025.e41838. eCollection 2025 Jan 30.

Abstract

The digital technology transition fosters the flexibility of companies and their ability to respond quickly to market changes. However, Small and Medium-sized Enterprises (SMEs) seem to be particularly challenged by digital transformation. The Alkire-Foster (AF) method was employed to analyze the integration profiles of digital technology in SMEs. Individual and group average partial and composite indicators were computed, as well as group measures of digital technology integration, to benchmark individual companies and groups. Additionally, a linear regression was used to examine how individual overall composite scores of digital technology integration are influenced by dimensions of individual digital technology integration enablers and other contextual variables. The results indicate that most companies possess the digital infrastructure necessary for this integration. However, there is room for improvement in terms of supply and demand of digital skills. This study contributes to research by applying an existing tool, the AF method, in a novel context: measuring digital technology integration in SMEs. The AF method facilitates effective benchmarking at both individual and group levels.

摘要

数字技术转型促进了公司的灵活性及其快速应对市场变化的能力。然而,中小企业似乎在数字转型方面面临着特别的挑战。采用阿尔基尔 - 福斯特(AF)方法来分析数字技术在中小企业中的整合情况。计算了个体和群体的平均部分指标和综合指标,以及数字技术整合的群体指标,以便对个体公司和群体进行基准评估。此外,使用线性回归来检验个体数字技术整合促成因素的维度和其他背景变量如何影响数字技术整合的个体总体综合得分。结果表明,大多数公司拥有这种整合所需的数字基础设施。然而,在数字技能的供需方面仍有改进空间。本研究通过在一个新的背景下应用现有的工具——AF方法,为研究做出了贡献:测量中小企业中的数字技术整合。AF方法有助于在个体和群体层面进行有效的基准评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80d1/11783441/88e243d00e91/gr1.jpg

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