INDUSTRY AS A SPECIFIC ENVIRONMENT FOR THE DEVELOPMENT OF IT MANAGEMENT
Abstract
The relevance of conducting scientific research devoted to the development of information technology (IT) management in industry is determined by the direct effects that this field exerts on the global economy, the productivity of enterprises, the competitiveness of national industries and the quality of life of society as a whole. Modernity is full of urgent reasons for conducting scientific research in the field of IT management in industry. Industry involves the production of material goods such as machines, cars, food and many others. This activity is different from other sectors of the economy, such as services or education. Despite this, it should be recognized that, in fact, the "uniqueness of activity" in industry itself is not a specific factor that contributes to the development of IT management, it is a factor that characterizes industry as an environment. The article examines and substantiates specific aspects of the industry. It has been proven that the physical aspects and specific requirements for management and security in industry make it a favorable environment for the development of IT management aimed at improving processes and optimizing production. It is justified that the technical complexity of the industry creates the need for the development and implementation of IT for effective management, security and optimization of production processes. The supply chain in industry has its own specific features that make it an important aspect for the development of IT in the industrial environment, and some specific characteristics of the supply chain in industry are also highlighted. Dependence on technology is one of the key characteristics that makes industry a favorable environment for IT development. All these aspects create a need for IT for supply chain management in industry. Information systems for tracking, data analysis, optimization and cooperation with suppliers are becoming key to the effective functioning of the industrial supply chain and support of business processes. The dependence of industry on technology creates a need for the development and implementation of IT to automate, control, analyze and improve production processes, which makes this aspect specific to the development of IT management in industry.
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Ghazieh, L., Chebana, N. (2021). The effectiveness of risk management system and firm performance in the European context. JEFAS, 26, 182–196. DOI:10.1108/jefas-07-2019-0118 .
Amraoui, S. et al. (2019). Information Systems Risk Management: Litterature Review. Computer and Information Science, 12, 1. DOI:10.5539/cis.v12n3p1.
Gerardo, V., Fajar, A.N. (2022). Academic IS Risk Management using OCTAVE Allegro in Educational Institution. Journal ISI, 4, 687–708. DOI:10.51519/journalisi.v4i3.319.
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Bystrykh, L.V. (2012). Generalized DNA Barcode Design Based on Hamming Codes. PLOS ONE, 7, e36852. doi:10.1371/journal.pone.0036852.
Prasad, S., Pal, A.K. (2020). Hamming code and logistic-map based pixel-level active forgery detection scheme using fragile watermarking. Multimed Tools Appl, 79, 20897–20928. DOI.org/10.1007/s11042-020-08715-x.
Andryani, R., Negara, E. S., & Triadi, D. (2019). Social Media Analytics: Data Utilization of Social Media for Research. Journal-ISI, 1(2), 193–205. DOI:10.33557/journalisi.v1i2.23.
Islam, M. (2020). Data Analysis: Types, Process, Methods, Techniques and Tools. IJDST, 6, 10. DOI:10.11648/j.ijdst.20200601.12.
Sharma, B. (2018). Processing of data and analysis. BEIJ, 1, 3–5. DOI:10.30881/beij.00003.
Hariri, R.H., Fredericks, E.M., Bowers, K.M. (2019). Uncertainty in big data analytics: survey, opportunities, and challenges. Journal of Big Data, 6. DOI:10.1186/s40537-019-0206-3.
Ismail, A., Truong, H.-L., Kastner, W. (2019). Manufacturing process data analysis pipelines: a requirements analysis and survey. Journal of Big Data, 6. DOI:10.1186/s40537-018-0162-3.
Makkonen, H. (2021). Information processing perspective on organisational innovation adoption process. Technology Analysis & Strategic Management, 33, 612–624. DOI:10.1080/09537325.2020.1832218.
Faizullah M. (2003). Role of Information Technology in Transaction Processing System. Information Technology Journal, 2, 128-134. URL: https://scialert.net/abstract/?doi=itj.2003.128.134.
Afolayan, A.O., De La Harpe, A.C. (2020). The role of evaluation in SMMEs’ strategic decision-making on new technology adoption. Technology Analysis & Strategic Management, 32, 697–710. DOI:10.1080/09537325.2019.1702637.
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