Information and Communications Technologies Drive Digital Disruption from Business to Life on Earth -Part 2-
Romanian Distribution Committee Magazine, 2017, vol. 8, issue 3, 16-25
As premises of the digital disruption ( DD), the paper shows that Information and Communications Technologies (ICT) is further influencing all areas of humankind activity, determining the crucial role of ICT as main driving factor for the progress of Information Society (IS) toward Knowledge Based Society (KBS) and generally for the life on Earth. The paper analyses the DD evolution, which is strongly linked with ICT evolution, mainly as content and speed of development, from these factors coming the most of complexity and difficulty of analysing and foreseeing DD, in general DD being a set of dynamic and complex processes, which are interacting with ICT fast growing potential and are depending on the economical/social context. Ultimately, DD is basically generated between two pillars: technology and customer/humankind needs. The fast changes of the ICT context are one of the factors which determine the DD hardest requirements for the incumbents, because they have to continuously adapt to these rapid and complex changes in order to find the appropriate decisions for their business. The paper analysis is focused on the general causes of DD and its main driving factors are also detailed by their essential components and directions. Among these factors, the multiplication power of ICT products and services, generally associated with the digital processing but in reality being much more diverse and complex, is now “multiplied” by the new increasing power of mobile and broadband connectivity which enables unprecedented applications, processing performance and huge amounts of data. In addition, the challenge to process and storage such amounts of data (provided by IoT and ... more) is analysed, along with solutions oriented on new models, design and algorithms for DD and generally for actual ICT role in IS toward KBS. As a consequence, the concrete problem the ICT development and generally all the decision makers have is to optimize the development/investments by a complex set of criteria, from revenues to social needs and environment, i.e. it is necessary to continuously adapt and improve the decision processes according to the actual realities and the last estimations of ICT/IS/KBS development, with a deeper approach for the processes which deal with data, information and knowledge. This approach leads to the necessity of using properly refined knowledge for the further development of DD/ICT/IS/KBS. A relevant given example is the field of human genome and generally in genetic engineering, where ICT state-of-the-art products and applications enable long expected results for people’s lives. Also, the unprecedented performance of advanced AI (“deep learning”) applications could provide one of the most expected contributions to refining knowledge for the surviving race against climate changes. An actual practical approach for the leaders facing DD is to watch start-ups, which have impressive flexibility and dynamic versus the big companies. Therefore, the leaders have to learn from the opportunities of digital ideas, connectivity and exploiting customer needs and behaviour in the context of ICT “storm“of offers. In general, “looking at the right data” is the first step toward an optimal “edge” of DD and in the same time the initial phase of the main goal of properly refined knowledge. The most important conclusion of the paper is that properly refined knowledge should mean, in each domain of development/implementation and in every case, to harmonize (globally optimize) all the policies, projects and applications with state-of-the-art or updated results/requirements from all domains which are or could be involved/affected today or tomorrow, at Earth scale, by DD/ICT development.
Keywords: digital disruption; Internet of Things; information society; knowledge based society; advanced artificial intelligence; start-ups; human genome; mobile and broadband connectivity; Maslow Pyramid. (search for similar items in EconPapers)
JEL-codes: L63 L86 M15 O31 O33 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:rdc:journl:v:8:y:2017:i:3:p:16-25
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