Abstract
Big data analytics (BDA) is regarded as improving decision-making performance. As projects are confronted with a variety of constraints, BDA can help with timely and informed decision-making. However, little knowledge exists on the subject. Data collected through twenty-five semi-structured interviews was analyzed using NVivo. Results show that BDA improves project decision-making performance by providing insights on issues emerging throughout project lifecycle, prompting timely and rational decisions. However, not everyone is convinced, pointing out that organizations lack maturity in data management and face ethical/bias issues. Study makes six propositions in addition to its findings to advance the literature on BDA-driven decision-making.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
