In the era of big data, the high level of businesses’ digitalization, and new technology development in various fields, awash companies in a flood of massive amounts of data. Dealing with that fact is non more an option. Companies have to reexamine the way they do business in order to gain benefits from big data. Consequently, they have to review their approach of managing projects in order to create the added value. For the purpose of assessing this issue, we have adopted a research approach built on two phases. In the first, we have performed a systematic literature review to spot the gaps in the current research. The results have revealed that so far, no scientific work has discussed how companies can create business value through project management in a big data context. These results have also shown significant contributions of the research community on how big data contributes to value creation in organizations. In the second, we have suggested an approach to fills the identified gap by proposing a framework that support project management process in big data environment.
Nowadays, companies' first target is to build an intelligent, flexible, integrated and efficient processes, for higher industrial performance. According to this, a new concept emerged within the industrial firms by the name of Industry 4.0 (I4.0). This 4th industrial revolution covers four main aspects: intelligent factory, real-time communication, smart products and more satisfied customers. As strong as are the new technologies offered by this revolution, it is not entirely sufficient if not combined with lean principles. Combining these two paradigms created what is known today as Lean 4.0, a new concept presenting several opportunities for higher performance. Nevertheless, this combination is far from being as simple as it seems. A deep and structured risk analysis is required to ensure a smooth implementation of lean 4.0 system within a company. The purpose of this paper is to discuss I4.0, lean manufacturing and Lean 4.0 risks and opportunities through a systematic literature review, and to study the different barriers to its implementation through the modelling of a case study using sequence diagram and SWOT analysis. Its contribution consists of being a reflection paper to the companies aiming to develop their digital maturity by exploiting Lean 4.0 tools.
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