Economic-Geographical Study of the Big Data Industry in the Internet-of-Everything Era: Promising Directions
DOI:
https://doi.org/10.52575/2712-7443-2024-48-3-318-331Keywords:
digital economy, the Internet of things, agglomeration, information development, spatial diffusion, distributed computing, production placementAbstract
Currently, the big data industry is emerging on the Internet of Things platform, which has not yet been comprehended from the standpoint of economic geography. The Internet of Everything is expected to be deployed in the next decade. Therefore, the purpose of our study was to determine the future directions of the economic-geographical study of the big data industry based on a comparison of the key parameters for the Internet of Everything that determine the specifics of data generation with the heuristic potential of economic geography. The author's semantic search algorithm in international bibliographic databases was used to select publications on the subject under consideration. Promising areas were identified with the help of comparative analysis. A brief description of big data, the Internet of Everything, and the big data industry is given. It is established that in economic geography there are concepts and algorithms that make it possible to begin studying the big data industry within the framework of five directions, which with some preliminary conditionality are called “agglomeration”, “information-development”, “spatial-diffusion”, “foggy-distribution” and “production-placement”. An assumption is made about further unification of these directions into a single – “district-level” – meta-direction.
Acknowledgment: The article was prepared based on the results of research carried out at the expense of budgetary funds under the state assignment of the Sochava Institute of Geography SB RAS (registration number of the topic AAAA-A21-121012190018-2)
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