In supply chain management much work has been put into manufacturing philosophies such as Lean, TQM, QRM, six sigma ect. But as digitalization is given more and more attention, which encompass terms like internet of things, industry 4.0, business analytics, predictive analytics and business intelligence; there is a need for conceptualizing these and to develop management tools and principles that aids practitioners to become successful in the big data journey. Big data is a highly emerging research field and therefore I wonder if big data is going to evolve as a philosophy for digitalization and data utilization, and thereby be the digital counterpart to the manufacturing philosophies?
Against the idea of being a philosophy for digitalizaition
For the idea of being a philosophy for digitalization:
Against the idea of being a philosophy for digitalizaition
For the idea of being a philosophy for digitalization:
To answer your question I would read the work by Luciano Floridi on the Philosophy of Information.
Interesting comment by Jonas Mellin. However, Is big data really a problem? I see it more like an opportunity. Sure there is problems related to understanding big data related to data collection, data management and data utilization. The big data buzz word came up when new opportunities for revenue streams and process optimizations.
The traditional manufacturing philosophies also was initiated with opportunities for improving manufacturing processes and based on that opportunity principles, guidelines, management tool etc. were developed into a philosophy.
My argument for dealing with big data as a philosophy is also the cultural shift that companies need to embrace in order to digitalize their practices.
@Morten Brinch, problem or opportunity, it does not matter. It is not a solution like Lean, TQM etc.Therefore, I cannot see it as a philosophy. Philosophies are, in my view, behind strategies, processes, methods, techniques and any prescriptive theory for handling situations arising in big data.
As far as I know, the similar field in manufacturing were not called TQM, Lean etc. right? These are the solutions. Big data is a common denominator, a buzz word, a research field, a problem area. As such, it contains numerous problems (tasks to be solved), opportunities, threats, solutions (strategies etc.).
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The technology available today is able to capture and analyse large volumes of data. This is generating a lot of information at a micro level of upto individual behavior. This has stretched the ability to have focused targeting and customized actions.
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