A Multi-dimension Framework For Value Creation Through Big Data

Big Data has been heralded as a key agent of the third industrial revolution, and currently represents a promising area for value creation and frontier research. The potential to extract actionable insights from Big Data has gained increasing attention of both academics and practitioners operating in several industrial sectors. However, the adoption of Big Data solutions does not always generate effective value for the adopters. Therefore, the gap existing between the potential of value creation embedded in the Big Data paradigm and the current limited exploitation of this value represents an area of investigation that this paper aims to explore. In particular, this study aims at investigating the following research question: “Which are the multiple value directions that the Big Data paradigm can generate for organizations?”. In this vein, the article presents the result of a systematic literature review aimed at defining a framework that identifies the possible directions of value creation for an organization that may decide to implement the Big Data paradigm. By adopting a systematic literature review, the framework leverages and extends a previous contribution of Wamba et al. (2015) on the same topic. A further element of originality is related to the introduction of a further phase in the analysis, consisting in the application of text mining algorithms to analyse the selected resources, in the final aim to highlight possible terms and concepts remained hidden or latent in the human-led analysis.