数据科学解决方案对公司营业额的影响

IF 2.4 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Information (Switzerland) Pub Date : 2023-10-19 DOI:10.3390/info14100573
Marian Pompiliu Cristescu, Dumitru Alexandru Mara, Lia Cornelia Culda, Raluca Andreea Nerișanu, Adela Bâra, Simona-Vasilica Oprea
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引用次数: 0

摘要

本研究探讨了客户关系管理软件(CRM)等数据科学软件解决方案在增加企业收入方面的潜力。我们关注的是整个欧盟(EU)的住宿和餐饮服务行业的企业。该调查是在数据驱动决策的上升趋势背景下进行的,研究了数据科学应用与业务收入之间的潜在相关性。通过对2014年至2021年欧盟统计局数据集的全面评估,我们使用了单变量和多变量分析,评估了欧盟国家中拥有电子商务销售的公司的百分比,重点关注来自任何来源的大数据分析的使用情况,以及用于营销目的或其他活动的CRM工具的使用情况。大数据的利用与电子商务销售的提升有着明显的正相关关系。然而,客户关系管理工具表现出双重影响:虽然它们在营销方面的使用对销售没有显著影响,但它们在非营销职能方面的应用对销售有负面影响。这些发现强调了CRM和数据科学解决方案在提高欧盟住宿和餐饮服务行业业务绩效方面的潜在作用。
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The Impact of Data Science Solutions on the Company Turnover
This study explores the potential of data science software solutions like Customer Relationship Management Software (CRM) for increasing the revenue generation of businesses. We focused on those businesses in the accommodation and food service sector across the European Union (EU). The investigation is contextualized within the rising trend of data-driven decision-making, examining the potential correlation between data science applications and business revenues. By employing a comprehensive evaluation of Eurostat datasets from 2014 to 2021, we used both univariate and multivariate analyses, assessing the percentage of companies that have e-commerce sales across the EU countries, focusing on the usage of big data analytics from any source and the use of CRM tools for marketing purposes or other activities. Big data utilization showed a clear, positive relationship with enhanced e-commerce sales. However, CRM tools exhibited a dualistic impact: while their use in marketing showed no significant effect on sales, their application in non-marketing functions had negative effects on sales. These findings underscore the potential role of CRM and data science solutions in enhancing business performance in the EU’s accommodation and food service industry.
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来源期刊
Information (Switzerland)
Information (Switzerland) Computer Science-Information Systems
CiteScore
6.90
自引率
0.00%
发文量
515
审稿时长
11 weeks
期刊最新文献
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