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Barriers to SMEs Adoption of Big Data Analytics for Competitive Advantage

机译:中小企业的障碍采用大数据分析进行竞争优势

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Small and medium-sized enterprises (SMEs) (which includes micro companies employing $ lt 10)$ make a significant contribution to the UK economy accounting for 99.9% of all businesses, employing 60% of the work force and generates £2,168 billion; this represents 52% of the turnover of all businesses in the UK [1]. Big Data Analytics is rapidly being utilised by large companies on a global scale to gain competitive advantage which is well documented in the literature. However, the evidence from the literature indicates that SMEs are underutilising this technology for a variety of reasons, for example lack of expertise and cost implications. The intention of this paper is to identify barriers to the adoption of Big Data Analytics by SMEs to help them overcome the challenges and to exploit the benefits of Big Data Analytics to improve their competitive advantage which will benefit the wealth of the country particularly in the aftermath of Covid-19.
机译:中小企业(中小企业)(包括雇用$ LT 10)的微型公司为英国经济占所有企业的99.9%,雇用60%的劳动力和产生2,1680亿英镑;这代表了英国所有企业营业额的52%[1]。大型数据分析迅速被大型公司在全球范围内迅速利用,以获得在文献中良好的竞争优势。然而,来自文献的证据表明,由于各种原因,中小企业正在未充分利用这项技术,例如缺乏专业知识和成本影响。本文的目的是通过中小企业确定通过大数据分析的障碍,帮助他们克服挑战,利用大数据分析的益处,以改善其竞争优势,这将使国家的财富受益于此国家的财富covid-19。

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