Exploring the Impact of Big Data Analytics Capabilities on Indonesian Firm Performance - A Mediation Analysis of Business Process Agility and Process-oriented Dynamic Capability

Nugraha Kusbianto, E. Sukoharsono, Arizal Darmawan
{"title":"Exploring the Impact of Big Data Analytics Capabilities on Indonesian Firm Performance - A Mediation Analysis of Business Process Agility and Process-oriented Dynamic Capability","authors":"Nugraha Kusbianto, E. Sukoharsono, Arizal Darmawan","doi":"10.1109/ISCON57294.2023.10112001","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":280183,"journal":{"name":"2023 6th International Conference on Information Systems and Computer Networks (ISCON)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 6th International Conference on Information Systems and Computer Networks (ISCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCON57294.2023.10112001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

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.
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
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。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信