Antecedents to firm performance and competitiveness using the lens of big data analytics: a cross-cultural study

Author:

Behl AbhishekORCID

Abstract

PurposeThe study aims to understand how big data analytics capabilities of tech startups help them gain competitive advantage and improve their firm performance. The study is performed for two countries: India and China. A comparative analysis is also discussed in the study.Design/methodology/approachThe study collected responses from tech startups from both India and China. A total of 502 responses were collected with 269 from India and 233 from China. The results were analyzed using Warp PLS 6.0 after testing for common method bias, endogeneity and reliability of data. The study tested five primary hypotheses and also tested the effect of two control variables: country of origin of startup and age of the startup.FindingsWe found that big data analytics capabilities have a positive and significant impact on the firm performance and competitive advantage of tech startups. While organizational culture proved to have a positive impact as a moderator, innovation was found to have non-significant effect. The results also found to have non-significant effect of age of the firm while its country of origin does play an important role in defining its success.Originality/valueThe study offer key insights for the tech startups operating in two countries which are geographically neighbors but differ in the tech expertise from each other. Moreover, the study offers key insights on how does the origin of the country contributes significantly to explaining the success and competitiveness of the firm.

Publisher

Emerald

Subject

Management Science and Operations Research,General Business, Management and Accounting

Reference123 articles.

1. Big data research in information systems: toward an inclusive research agenda;Journal of the Association for Information Systems,2016

2. Big data analytics in E-commerce: a systematic review and agenda for future research;Electronic Markets,2016

3. How to improve firm performance using big data analytics capability and business strategy alignment?;International Journal of Production Economics,2016

4. Big data capabilities and firm's performance: a mediating role of competitive advantage;Journal of Information and Knowledge Management,2018

5. Estimating nonresponse bias in mail surveys;Journal of Marketing Research,1977

Cited by 68 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. How do big data analytics capabilities and improvisational capabilities shape firm innovation?;Journal of Engineering and Technology Management;2024-10

2. Big Data Analytics Capability and Entrepreneur Innovation;Advances in Business Strategy and Competitive Advantage;2024-07-26

3. Future trends in Fintech and sustainability: Empirical study;Investment Management and Financial Innovations;2024-07-09

4. Adopción de Big Data Analitycs en las PyMEs;Investigación Administrativa;2024-07-01

5. Role of Big Data Analytics in Audit Quality using IS Success Model as a Basis;Proceedings of the 2024 8th International Conference on E-Commerce, E-Business, and E-Government;2024-05-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3