Big data has raised challenges and opportunities for business, the information technology (IT) industry and research communities. Nowadays, small and medium-sized enterprises (SME) are dealing with big data using their limited resources. The purpose of this paper is to describe the synergistic relationship between big data and knowledge management (KM), analyze the challenges and IT solutions of big data for SME and derives a KM model of big data for SME based on the collected real-world business cases.,The study collects eight well-documented cases of successful big data analytics in SME and conducts a qualitative data analysis of these cases in the context of KM. The qualitative data analysis of the multiple cases reveals a KM model of big data for SME.,The proposed model portrays the synergistic relationship between big data and KM. It indicates that strategic use of data, knowledge guided big data project planning, IT solutions for SME and new knowledge products are the major constructs of KM of big data for SME. These constructs form a loop through the causal relationships between them.,The number of cases used for the derivation of the KM model is not large. The coding of these qualitative data could involve biases and errors. Consequently, the conceptual KM model proposed in this paper is subject to further verification and validation.,The proposed model can guide SME to exploit big data for business by placing emphasis on KM instead of sophisticated IT techniques or the magnitude of data.,The study contributes to the KM literature by developing a theoretical model of KM of big data for SME based on underlying dimensions of strategic use of data, knowledge guided big data project planning, IT solutions for SME and new knowledge products.

中文翻译：

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中小企业大数据：知识管理模型

大数据给企业，信息技术（IT）行业和研究界带来了挑战和机遇。如今，中小型企业（SME）正在使用其有限的资源来处理大数据。本文旨在描述大数据与知识管理（KM）之间的协同关系，分析大数据对中​​小企业的挑战和IT解决方案，并基于收集到的真实业务来推导大数据对中​​小企业的KM模型该案例收集了SME中成功记录的八份成功进行大数据分析的案例，并在KM的背景下对这些案例进行了定性数据分析。通过对多个案例的定性数据分析，揭示了中小企业的大数据知识管理模型。该模型刻画了大数据与知识管理的协同关系。它表明，数据的战略性使用，以知识为导向的大数据项目计划，中小企业的IT解决方案和新知识产品是中小企业大数据知识管理的主要结构。这些结构通过它们之间的因果关系形成一个循环。用于推导KM模型的案例数不大。这些定性数据的编码可能涉及偏差和错误。因此，本文提出的概念性知识管理模型有待进一步验证和确认。该模型可以通过强调知识管理而不是复杂的IT技术或数据量来指导中小企业利用大数据进行业务开发。通过基于数据战略使用的潜在维度开发中小企业大数据知识管理理论模型，为知识管理文献做出了贡献，