Unlocking the Potential of Data-Driven Business Models: An Empirical Investigation into the Role of Ecosystems and Fair Data Use

Author:

Heikkilä MarikkaORCID,Ahmad FarhanORCID,Heikkilä JukkaORCID

Abstract

Data-driven business models are expected to stimulate new economic growth by promoting innovation and value creation through data. However, in addition to concerns about privacy and security, there are ongoing discussions about fair data usage at both the EU and global levels. This research analyses how business model change is influenced by the expected economic benefits as well as how involvement in data ecosystems and the adoption of fair data practices can encourage data-driven innovation. We develop and test a structural equation model with a sample of 1,200 European companies. The findings suggest that organizations recognize the potential for new business and innovation opportunities with data-driven business models. Nevertheless, it is essential to engage in data ecosystems and implement fair and sustainable data usage practices in order to realize these benefits.

Publisher

University of Maribor Press

Reference73 articles.

1. Alt, R., & Klein, S. (2011). Twenty years of electronic markets research - Looking backwards towards the future. Electronic Markets, 21(1), 41-51. https://doi.org/10.1007/s12525-011-0057-z

2. Azkan, C., Möller, F., Ebel, M., Iqbal, T., Otto, B., & Poeppelbuss, J. (2022). Hunting the Treasure: Modeling Data Ecosystem Value Co-Creation, Forty-Third International Conference on Information Systems, Copenhagen 2022.

3. Managerial ties, business model innovation & SME performance: Moderating role of environmental turbulence;Bashir;Journal of Innovation & Knowledge,2023

4. Sustainable business model innovation: Scale development, validation and proof of performance;Bashir;Journal of Innovation & Knowledge,2022

5. Bennett, S. (2019). Governance in practice: Big data, privacy and information governance-incorporating an ethical-based assessment. Governance Directions, 71(5), 244-254.

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