文章基本信息

标题：Big Data Characteristics and Innovation Performance in Ghanaian Manufacturing Firms: The Role of the Big Data Team?
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作者：Samuel Kofi Otchere ; Ennin Bernice Nyamewaa ; Frank Hammond 等
期刊名称：Open Access Library Journal
印刷版ISSN：2333-9705
电子版ISSN：2333-9721
出版年度：2022
卷号：9
期号：2
页码：1-13
DOI：10.4236/oalib.1108378
语种：English
出版社：Scientific Research Pub
摘要：The study scrutinizes the connection between the big data characteristics and innovation performance in selected manufacturing firms in Ghana and the mediating role of the big data team in this relationship. This provides a new perspective to the ongoing debate on the big data innovation nexus globally. Using data from 43 accidentally selected manufacturing firms from Greater Accra in a structural equation model, the study confirms that big data characteristics positively influence innovation performance in manufacturing firms. However, velocity and volume are negatively associated with innovation performance in these firms. Finally, the sophistication and skill levels of the big data team positively mediate the connection amid big data characteristics and innovation performance. Therefore, management should prioritize the employment of a highly skilled big data team to benefit from all the characteristics of big data. Further, firms should consider the long-run big data analytics benefits over the initial cost of investment.
关键词：Big DataBig TeamInnovationPerformanceGhana