首页> 外文期刊>The bottom line >The effect of data strategy on competitive advantage
【24h】

The effect of data strategy on competitive advantage

机译:数据策略对竞争优势的影响

获取原文
获取原文并翻译 | 示例
       

摘要

Purpose - In the age of analytical competition, business models and gaining competitive advantage (CA) are directly related to organizations' data strategy. Incorporating data strategy enables the organization to unlock the potential value of big data analytics. Therefore, this study aims to analyze how data strategy affects the achievement of CA. Design/methodology/approach - Through survey research, data were collected from 103 respondents. Model testing and evaluation, partial least squares structural equation modeling and analysis of mediating effects were performed. Findings - The supported hypotheses confirm the direct effects between the defensive and offensive positioning of the data strategy on CA, as well as the mediating effect of the offensive data strategy (ODS). Originality/value - This study is groundbreaking in terms of empirically analyzing how defensive data strategy (DDS) or ODS affects CA. In conclusion, to extract value from their data, organizations need to establish their data strategy based on their strategic positioning, the potential of their resources and their analytical capabilities. Research implications - The defensive and offensive positioning of the data strategy are closely related to each other and both, in isolation, directly and positively, impact CA. It is also noted that the role of defensive positioning is to strengthen the offensive positioning of the data strategy, which in turn, plays a central role in achieving CA. Practical implications - The results can assist managers in effectively incorporating analytical resources and capabilities, as well as helping them understand the dynamics and advantages of data strategy, so they can drive strategic objectives according to the organization's positioning. Originality/value - This study is groundbreaking in terms of empirically analyzing how DDS or ODS affects CA. In conclusion, to extract value from their data, organizations need to establish their data strategy based on their strategic positioning, the potential of their resources and their analytical capabilities.
机译:目的 - 在分析竞争时代,商业模式和获得竞争优势(CA)与组织的数据策略直接相关。合并数据策略使组织能够解锁大数据分析的潜在值。因此,本研究旨在分析数据策略如何影响加利福尼亚的实现。设计/方法/方法 - 通过调查研究,从103名受访者收集数据。模型测试和评估,偏最小二乘结构方程建模和调解效果分析。调查结果 - 支持的假设证实了数据策略对CA的防御性和冒犯定位之间的直接影响,以及令人反感数据策略(ODS)的调解效果。原创性/值 - 本研究在经验分析防御数据策略(DDS)或ODS如何影响CA时是开创性的。总之,为了从其数据中提取价值,组织需要根据其战略定位,资源潜力及其分析能力建立其数据策略。研究意义 - 数据策略的防御性和冒犯定位与彼此密切相关,两者都是直接和积极影响CA.还有人指出,防守定位的作用是加强数据策略的进攻定位,这反过来又在实现加利福方面发挥着核心作用。实际意义 - 结果可以帮助管理者有效地融入分析资源和能力,以及帮助他们了解数据策略的动态和优势,因此他们可以根据本组织的定位推动战略目标。原创性/值 - 本研究在经验分析DDS或ODS如何影响CA的方面是开创性的。总之,为了从其数据中提取价值,组织需要根据其战略定位,资源潜力及其分析能力建立其数据策略。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号