探索大数据分析能力对印尼企业绩效的影响——业务流程敏捷性和面向流程的动态能力的中介分析

Nugraha Kusbianto, E. Sukoharsono, Arizal Darmawan
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引用次数: 0

摘要

本研究的目的是研究大数据分析能力(BDAC)在提高印尼企业绩效(FPER)方面的影响力,亚洲的大数据支出大幅增加,但缺乏这方面的研究。此外,本研究提出了一个理论模型作为发展BDAC的框架。IT能力框架以及面向过程的动态能力(PODC)和业务流程敏捷性(BPA)的中介功能是该研究模型的基础。采用有目的和滚雪球抽样技术的定量研究方法应用于53家印度尼西亚公司的样本。结果表明BPA对BDAC和FPER的中介作用显著,而PODC对BDAC和FPER的中介作用不显著。本研究为理解大数据分析提供了一个框架,并提供了BDAC对印尼企业成功影响的实证证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the Impact of Big Data Analytics Capabilities on Indonesian Firm Performance - A Mediation Analysis of Business Process Agility and Process-oriented Dynamic Capability
Examining how influential Big Data Analytic Capabilities (BDAC) are in improving Firm Performance (FPER) in the Indonesian setting is the objectives of this study, which has seen a significant increase in Big Data expenditure in Asia but lacks research in this area. Additionally, the study proposes a theoretical model as a framework for developing BDAC. The IT Capability Framework and the mediation functions of both Process-oriented Dynamic Capability (PODC) and Business Process Agility (BPA serve as the foundation for this study model. A quantitative research method using purposive and snowball sampling techniques is applied to a sample of 53 Indonesian companies. The result is BPA is significant while the PODC is identified to be insignificant in mediating the BDAC and FPER relationship. This study provides a framework for understanding Big Data Analytics and empirical evidence of BDAC’s impact on the success of Indonesian firms.
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