scholarly journals The main directions of development for light industry enterprises in the context of a pandemic

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Olga Medvedeva ◽  
Elena Rykova

The article considers the actual factors for the development of light industry enterprises – the transition of the interaction of the "producer-consumer" system to the digital space using the Internet; application of the customization function in the production of light industry goods and the development of a model of conscious consumption. The presented results of marketing research demonstrate the interest in fashion of a larger number of consumers under 35 years old and confirm the global trend of interest in the global network as the main source of information about fashion. The results obtained reflect the global statistics on consumer awareness of fashion innovations and new products that they receive from the worldwide Internet. The desire to integrate the consumer and the manufacturer using online channels is relevant and in demand both in the global and in the Russian market, based on which we can talk about the use of modern means of interaction. Active segmentation of the market leads to the fact that the consumer becomes more differentiated in terms of their values and tastes, social and demographic status, which in turn changes the demand: it goes from mass to the category of segmented. The authors considered the emergence of the phenomenon of mass customization in global practice and the main approaches to using this tool in the market. Customization is a tool by which the manufacturer and the client come to a common decision regarding the finished product. It was found that economists Joseph Pine II and James H. Gilmore propose four levels of customization, which are called collaborative, adaptive, cosmetic, transparent (joint, adaptive, cosmetic, transparent), respectively, which most fully reflects the levels of implementation of customization in mass production. In this article, the authors review the experience of the two largest sports goods manufacturers in the field of sustainable production and consider the new direction of "slow fashion" (slow fashion) as the basis for the introduction of the customization function.

2020 ◽  
Vol 4 (3) ◽  
pp. 49-57
Author(s):  
Oleksandra Fedorenko

Introduction. Modern retail integrates the development of goods and services, their production, sale, exchange and consumption into a global network and is a basis for an accelerated development of services and trade. Network retailers offer consumers not only a wide range of goods and services, but also the opportunity to buy everything in one place, where a large retail space offers up to hundreds of thousands of items. It is network retail that has a purposeful impact not only on the economy of an individual country, but also on global economic processes. The aim of the article is to study the theoretical aspects and develop practical recommendations for improving the analytical efficiency of network retail. Results. The article examines approaches to the disclosure of the economic category of "retail". The state and peculiarities of the development of domestic network retail, problems and difficulties of their functioning are analyzed. It is determined that the development of network retail requires professional and quality retail branding, which is a complex category and includes the process of brand development for the retail network and includes components: marketing research; internal audit; creation of a unique logo of a retail trade network; development of the spatial environment of the retail trade network. The method of the analysis of activity of the network retailer in particular the complex comparative analysis of the network retail in the dynamic competitive environment is offered and the balanced system of indicators of the analysis of activity of the network retail is offered. Conclusions. The development of online retail creates new opportunities for business through the introduction of modern information systems, digitalization of production processes and business, the creation of e-shops and interactive storefronts. The activity of network retail, like any other enterprise, requires a qualitative and comprehensive analysis in order to strengthen its position in the market, a stable position in a competitive environment. Therefore, business owners, executives, senior managers and potential investors and business partners should pay significant attention to the analytical support of the effective operation of the network retailer in order to manage business, finance and further increase profitability.


2019 ◽  
Author(s):  
Jason Cory Brunson ◽  
Thomas P. Agresta ◽  
Reinhard C. Laubenbacher

1Summary and KeywordsBackgroundComorbidity network analysis (CNA) is an increasingly popular approach in systems medicine, in which mathematical graphs encode epidemiological correlations (links) between diseases (nodes) inferred from their occurrence in an underlying patient population. A variety of methods have been used to infer properties of the constituent diseases or underlying populations from the network structure, but few have been validated or reproduced.ObjectivesTo test the robustness and sensitivity of several common CNA techniques to the source of population health data and the method of link determination.MethodsWe obtained six sources of aggregated disease co-occurrence data, coded using varied ontologies, most of which were provided by the authors of CNAs. We constructed families of comorbidity networks from these data sets, in which links were determined using a range of statistical thresholds and measures of association. We calculated degree distributions, single-value statistics, and centrality rankings for these networks and evaluated their sensitivity to the source of data and link determination parameters. From two open-access sources of patient-level data, we constructed comorbidity networks using several multivariate models in addition to comparable pairwise models and evaluated differences between correlation estimates and network structure.ResultsGlobal network statistics vary widely depending on the underlying population. Much of this variation is due to network density, which for our six data sets ranged over three orders of magnitude. The statistical threshold for link determination also had strong effects on global statistics, though at any fixed threshold the same patterns distinguished our six populations. The association measure used to quantify comorbid relations had smaller but discernible effects on global structure. Co-occurrence rates estimated using multivariate models were increasingly negative-shifted as models accounted for more effects. However, only associations between the most prevalent disorders were consistent from model to model. Centrality rankings were likewise similar when based on the same dataset using different constructions; but they were difficult to compare, and very different when comparable, between data sets, especially those using different ontologies. The most central disease codes were particular to the underlying populations and were often broad categories, injuries, or non-specific symptoms.ConclusionsCNAs can improve robustness and comparability by accounting for known limitations. In particular, we urge comorbidity network analysts (a) to include, where permissible, disaggregated disease occurrence data to allow more targeted reproduction and comparison of results; (b) to report differences in results obtained using different association measures, including both one of relative risk and one of correlation; (c) when identifying centrally located disorders, to carefully decide the most suitable ontology for this purpose; and, (d) when relevant to the interpretation of results, to compare them to those obtained using a multivariate model.


2020 ◽  
Author(s):  
Dandy Aldilax ◽  
Pri Hermawan ◽  
Lidia Mayangsari

The global trend of apparel industry is having positive correlation with Indonesia fashion retail trend. Recently, there has been growing in awareness among Indonesia consumer about environment make slow fashion product become more popular. However, there are lack of empirical evidence about Indonesian consumers’ slow fashion purchase decision and environment-friendly attitudes. This research aim to investigate the influencing factor of slow fashion product purchase decision among Indonesian youth. Based on the result, researcher can determine influencing factor of slow fashion product purchase decision. This research used quantitative approach through questionnaire with total 250 respondents ranging age 18-24 in 3 major cities in Indonesia which is Bandung, Jakarta, and Surabaya. In investigating the influencing factors, researcher gain four hypothesis from literature review. The factor tested in this research are personal environmental norms, past environmental friendly behaviour, green marketing, and peer influence in green context. The result of the study shows only peer influence in green context has significant correlation to slow fashion product purchase decision. This study is important to understand customer behaviour in slow fashion product and help marketer to find right marketing strategy. Keywords: Purchase Decision; Slow Fashion; Indonesian Youth; Green Behavior; Environmental Friendly Attitudes


2019 ◽  
Vol 124 ◽  
pp. 05075
Author(s):  
N.V. Puzina ◽  
A.A. Vereteno ◽  
E.A. Luneva ◽  
N.V. Katunina

In this article, we consider the importance of lifestyle and preferences of the decision-makers as parts of management of loyalty in developing a company’s brand on the Russian oil and gas B2B market. We provide the definitions of the concepts of “brand” and “loyalty”, types of loyalty and development stages of a loyalty program. Additionally, we report the results of a marketing research for development of the loyalty program of the oil trading company (characteristics, opinions and preferences of the decisionmakers on the Russian market of light oil and liquefied hydrocarbon gas products).


Author(s):  
И.В. Христофорова ◽  
А.Б. Деменкова

В статье представлено исследование, определяющее характеристики мирового рынка футболок, его конъюнктуру, а также выявляющее предпочтения потребителей к дизайну принтов на футболках для формирования оптимального товарного ассортимента и эффективного сбыта произведённой продукции. Информационную базу составили научные публикации авторитетных в области исследования ученых, статистические данные компании «5КармаNов» и данные итальянских производителей текстильной продукции. The article presents a study that determines the characteristics of the world market for T-shirts, its conjuncture, as well as identifying consumer preferences for the design of prints on T-shirts to form an optimal product range and effective marketing of manufactured products. The information base was composed of scientific publications of authoritative scientists in the field of research, statistical data of the company «5KarmaNov» and data from Italian manufacturers of textile products


2018 ◽  
pp. 03-19
Author(s):  
A. V. Lukyanova

The market of products from natural fur and skin takes a special place in the Russian market of clothes, first of all it is connected with that fact that this production is one of the most expensive of all type of goods of light industry, and also in connection with severe climatic conditions of the Russian Federation demand for products from natural fur and skin is high during an autumn and winter season. In article an attempt to analyse competitive strategy of players of the market pushno – the fur industry is made. Conclusions became results of research that for the companies of the fur and fur industry a key role play: 1) The known brand which causes positive associations in the client and installs confidence in the quality, offered production; 2) The wide model range offered on a choice of the client; 3) The qualified personnel which not only adjusts the consumer on purchase, but also can answer all questions concerning quality of production, the cut, actual trends, ruled socks, cleanings, storages, etc.; 4) Planning and registration of trade space (window dressing and effective zoning of space of shop).


2018 ◽  
pp. 27-43
Author(s):  
A. V. Lukyanova

The market of products from natural fur and skin takes a special place in the Russian market of clothes, first of all it is connected with that fact that this production is one of the most expensive of all type of goods of light industry, and also in connection with severe climatic conditions of the Russian Federation demand for products from natural fur and skin is high during an autumn and winter season. In article an attempt to analyse competitive strategy of players of the market pushno – the fur industry is made. Conclusions became results of research that for the companies of the fur and fur industry a key role play: 1) The known brand which causes positive associations in the client and installs confidence in the quality, offered production; 2) The wide model range offered on a choice of the client; 3) The qualified personnel which not only adjusts the consumer on purchase, but also can answer all questions concerning quality of production, the cut, actual trends, ruled socks, cleanings, storages, etc.; 4) Planning and registration of trade space (window dressing and effective zoning of space of shop).


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