大数据分析对项目成功的影响:智力资本和知识共享的中介作用

IF 1 Q4 MANAGEMENT
Diego Norena-Chavez, Eleftherios Thalassinos
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引用次数: 0

摘要

目的:本研究对大数据分析(BDA)对项目成功(PS)的影响进行实证研究。此外,在本研究中,调查还包括检查智力资本(IC)和(KS)如何在BDA和KS之间的相关性中起中介作用。最后,本文还探讨了创业领导力与企业绩效评估之间的关系。设计/方法-使用来自秘鲁IT部门的422名高级员工的样本。偏最小二乘结构方程建模技术验证了假设的关系。研究发现:BDA和PS之间的关系是由结构资本(SC)和关系资本(RC)介导的,其中BDA与PS之间存在显著的正相关关系。此外,EL与BDA之间存在显著的正相关关系。实际意义-本研究的发现加强了BDA的企业经验,并建议IT部门的高层如何促进SC, RC和EL。独创性/价值——这项研究是第一个将大数据分析视为项目成功的重要先决条件的研究之一。在对大数据分析、智力资本和知识共享之间的相互关系研究很少或没有的情况下,本研究通过调查智力资本和知识共享在大数据分析与项目成功之间的关系中的中介作用做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of big data analytics in project success: Mediating role of intellectual capital and knowledge sharing
Purpose: This study empirically investigates the effect of big data analytics (BDA) on project success (PS). Additionally, in this study, the investigation includes an examination of how intellectual capital (IC) and (KS) act as mediators in the correlation between BDA and KS. Lastly, a connection between entrepreneurial leadership (EL) and BDA is also explored. Design/Methodology- Using a sample of 422 senior-level employees from the IT sector in Peru. The partial least squares structural equation modeling technique tested the hypothesized relationships. Findings- According to the findings, the relationship between BDA and PS is mediated by structural capital (SC) and relational capital (RC), and BDA demonstrates a positive and noteworthy correlation with PS. Furthermore, EL is positively associated with BDA in a significant manner. Practical implications- The finding of this study reinforce the corporate experience of BDA and suggest how senior levels of the IT sector can promote SC, RC, and EL. Originality/Value- This study is one of the first to consider big data analytics as an important antecedent of project success. With little or no research on the interrelationship of big data analytics, intellectual capital and knowledge sharing the study contributes by investigating the mediating role of intellectual capital and knowledge sharing on the relationship between big data analytics and project success.
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来源期刊
CiteScore
1.00
自引率
14.30%
发文量
13
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