BAR CODING OF PRODUCTS AND ASSESSMENT OF COMPLIANCE OF PRODUCT INFORMATION WITH THE REQUIREMENTS FOR CONSUMER PROTECTION
Abstract
The research consisted in studying the technical role and functions of bar coding of commodity products in the direction of implementation of the consumer's right guaranteed by law to reliable, sufficient and accessible information about commodity objects to meet the needs of both consumers and producers of consumer goods; control and evaluation of the content and compliance of product information about products with the requirements for consumer protection in terms of the right to reliable information, in particular, about the place of manufacturing (country of origin of the commodity object). It was noted that one of the most important components of information technology is the collection of primary information about objects, phenomena, properties, etc. At the same time, the more operational and accurate it is, the more reliable and effective is the analytical information provided by electronic equipment for managerial decision making. Foreign experience shows that one of the most common ways to quickly and accurately enter data into a computer system is to use barcode technology, which is a technology of automatic data identification. Commodity specialization includes the assessment of all the main characteristics of the product: range, quality, quantity and cost. In this regard, the following types of commodity inspections are distinguished: quantitative, qualitative, categorical, documentary and complex. The bar coding in the EAN system, which identifies the manufacturer and the product, as well as bar coding in the systems are considered: "Code 2/5", "Code 2/5 alternative", "Code 39", "Code 128", "Code 11", "Codabar", "Code 93", "Code 49", "Code 16K", "Code PDF 417, UPC, Code UPC and others, the digital values of the vast majority of barcodes that are related to the identification of commodity objects and aimed at general consumer information are encrypted; which contain the following data (which are "read" from left to right. It is concluded that the bar coding technology allows to significantly increase the level of awareness of any specialist involved in the logistics supply chain "manufacturer-warehouse-delivery-consumer", and the problem of correct determination of the country of origin of goods is especially relevant during the period of martial law, since there is an import of goods prohibited for importing into the territory of Ukraine.
References
2. Г анжуров Ю. С. Стратегічні напрями розвитку підприємств видавничої галузі, поліграфічної діяльності і книготоргівлі : монографія. Київ, 2015. 283 с.
3. Данило С. І. Сучасне розуміння товару як предмету торгівлі. Вісник Сумського національного аграрного університету. Серія “Економіка і менеджмент”. 2019. Вип. 2 (80). С. 8-11.
4. Коновалова С. О. Проблеми формування ринку інформації в Україні. Електронний журнал “Ефективна економіка”. 2014. № 8. URL: http://www.economy.nayka.com.ua/?op=1&z=3473.
5. Логунова Н. Ю., Крылов А. С. Штриховое кодирование пищевых продуктов и оценка соответствия товарной информации установленным требованиям. Инновационная экономика: информация, аналитика, прогнозы. 2022. № 1. С. 24-29.
6. Про захист прав споживачів : Закон України від 12.05.1991 р. № 1023-XII (в ред. від 01.08.2021 р.). URL: https://zakon.rada.gov.ua/laws/show/1023-12#Text.
7. Технічний регламент 022/2011 “Харчова продукція в частині її маркування” від 9 грудня 2011 р. URL: https://www.google.com/search? sclient=gws-wiz.
8. Федорович Р. В. Маркетингові стратегії формування попиту на товари та послуги на ринках України : монографія. Тернопіль : ТНТУ ім. І. Пулюя, 2013. 359 с.
9. Almunia J., Delponti P., Rosa F. Using Automatic Identification System (AIS) Data to Estimate Whale Watching Effort. ORIGINAL RESEARCH. 26 July 2021.
10. Fan T. Research on automatic user identification system of leaked electricity based on Data Mining Technology. International Conference on Energy Engineering and Power Systems (EEPS2021). August 20-22, 2021, Hangzhou, China. URL: https://reader.elsevier.com/reader/sd/pii/S235248472 .
11. Fang X., Wu F., Luo B., Zhao H., Wang P. Automatic Recognition of Noisy Code-39 Barcode. 16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06). 2006. pp. 79-82.
12. Goldstein I., Yang L. Commodity Financialization and Information Transmission. The Journal of Finance. 2022. 14 June.
13. Hahn H., Joung J. K. Implementation of algorithm to decode two-dimensional barcode PDF-417. 6th International Conference. Signal Processing. IEEE Xplore. September 2002. Vol. 2.