分析在多平台数据驱动商业模式中的作用:食品行业的探索

IF 1.6 Q3 MANAGEMENT Technology Innovation Management Review Pub Date : 2020-09-01 DOI:10.22215/timreview/1371
Diane A. Isabelle, M. Westerlund, Mohnish Mane, S. Leminen
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引用次数: 8

摘要

文献表明,除了收入增长和成本优化外,数据分析还可以降低客户收购成本,留住有价值的客户,帮助预测客户行为,改善客户体验,减少欺诈,提供实时报价,并增强决策能力(McAfee和Brynjolfsson,2012;Redman,2015;Wamba等人,2017)。然而,数据本身并不是竞争优势的来源,因为所有公司都可以从各种来源收集大量数据。相反,必须有目的地分析和激活数据。尽管如此,企业在试图通过使用数据创造竞争能力的过程中,面临着组织、财务、物质和人力资源方面的一系列问题(Gupta&George,2016;Ghasemaghaei,2018),并且很容易无法利用数据分析的好处(Erevelles等人,2016)。
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The Role of Analytics in Data-Driven Business Models of Multi-Sided Platforms: An exploration in the food industry
literature shows that apart from revenue growth and cost optimization, data analytics can decrease customer acquisitions costs, retain valuable customers, help predict customer behaviour, improve customer experience, reduce fraud, provide real time offers, and enhance decision making (McAfee & Brynjolfsson, 2012; Redman, 2015; Wamba et al., 2017). However, data on its own is not a source of competitive advantage since all firms can collect hordes of data from a variety of sources. Rather, data must be purposely analyzed, and activated. Nonetheless, firms face a host of issues organizational, financial, physical, and human resources in their attemps to create a competitive capability from the use of data (Gupta & George, 2016; Ghasemaghaei, 2018), and may easily fail to exploit the benefits of data analytics (Erevelles et al., 2016).
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来源期刊
CiteScore
5.90
自引率
0.00%
发文量
16
审稿时长
12 weeks
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