小企业信息系统的知识管理需求:模糊集定性比较分析(fsQCA)

Aaron A. Vargas-Zeledon
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引用次数: 0

摘要

知识管理和信息系统因其提高企业业绩的潜力而受到越来越多的关注。然而,在微型和小型企业的背景下,基于知识管理的信息系统的具体能力的研究有限。本研究旨在填补这一空白,通过检查小企业在创业领域,以确定他们是否认识到这些能力的重要性。该研究以中低收入经济体的70家小企业为样本,采用了模糊集定性比较分析(fsQCA)方法。研究结果显示,小型企业认识到信息系统能力在促进其组织发展方面的重要性,这些企业在日常运营中越来越多地认识到知识管理的价值。这项研究通过揭示中小企业在中低收入经济体中的作用,对现有文献做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge management requirements for information systems in small ventures: A fuzzy-set qualitative comparative analysis (fsQCA)
Knowledge management and information systems have garnered increased attention for their potential to enhance venture performance. However, there is limited research on the specific competences of information systems based on knowledge management within the context of micro and small businesses. This study aims to fill this gap by examining small businesses in the entrepreneurship field to determine whether they recognize the importance of these competences. The research focuses on a sample of 70 small businesses operating in lower-middle-income economies and employs a fuzzy-set qualitative comparative analysis (fsQCA) methodology. The findings reveal that smaller businesses acknowledge the significance of information systems competences in facilitating their organizational development and that these ventures are increasingly exposed to the value of knowledge management in their day-to-day operations. This study contributes to the existing literature by shedding light on the role of smaller businesses in lower-middle-income economies.
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