The article is devoted to researching of current conditions of the tourism industry from consumers behavior position. In this work, the consumer is considered a legitimate participant in the creation of a tourist product. The aim of the work is to identify the impact of digital technology on the transformation of the decision-making process by tourists. The tasks are to assess the state of the digital tourism infrastructure, classify the available services to identify unfilled niches; to find out the attitude of consumers to various kinds of travel applications and their place in travel planning. The empirical basis of the work has been the research data by Google, PayPal, Booking.com which allowed to analyze tourists’ behavior in the Internet and to identify the main travel trends for 2019. For achieve the research aim, authors applied an online survey of 100 consumers aged 18-35 too. As a result, the main directions of tourism transformation in the digital economy were determine and classification of applications in the category of "travel" were created.
The article is devoted to the problem of satisfaction estimate, based on the technology of content-analysis of the consumer feedback in the digital environment. Consumers are becoming an increasingly powerful competitive force. They generate content by themselves. The feedback is an important source of information about consumers’ opinion. The consumers’ impact in the digital environment is manifest, primarily, in the consumption expectation forming. The authors propose a methodic of the satisfaction evaluation research, which is based on the systematic analysis and synthesis of individual methods and theories of consumer behavior, competitive analysis, and marketing research. Evaluation of customer satisfaction involves considering the object as a set of attributes for each of which is determined by the assessment of the embodiment, the assessment of importance, and then - the assessment of private utility. The final value of satisfaction is defined as the sum of benefits.
The quality management system is developing rapidly and dynamically in organizations of agriculture. The management of agricultural enterprises realizing the role of a leader in quality work is aimed at continuous improvement in all aspects of activity. The management of agricultural enterprises, realizing the role of a leader in quality work, is aimed at continuous improvement in all aspects of activity. The QMS in food production is implemented based on international standards such as ISO 22000, ISO 9001, where successive processes are described, which also include the principles of HACCP. This standard combines risk analysis and critical control points. Based on all these consistent measures, enterprises are striving to improve both the quality of the products and the work of the company as a whole. This is a necessary measure, it is obligatory in today’s time, because thanks to it, not only the product quality, but also the competitiveness of the production in the market increases. As a result, the enterprise opens an export opportunity. Without the introduction of a quality management system, the company cannot move on. This article discusses the QMS documentation, which allows controlling the processes and fruitfully developing the organizations of agriculture. Developing of the research engineering and development work process map for agricultural organizations. The input and output data of the process are determined, as well as the performance and risk indicators for the process. To improve the process management system, thresholds for process performance indicators are defined. The risks of the activities of the processes, to minimize the risks and prevent them in the future. The method of determining the effectiveness of the process is implemented. Indicators must be met in full size, without fail, of the number of non-compliances detected by the customer leads to a deterioration in the performance of the process by a percentage.
Automobile transport is traditionally considered to be one of the sources of environmental pollution. In Russia, this source of air pollution becomes the main one in big cities. The head of the Rospotrebnadzor (Federal Service for Supervision of Consumers Protection) Anna Popova states that according to the atmospheric air research 2011-2015 the main contribution to the pollution of big cities is not made by industry, but by road transport. The proportion of such pollution reaches 80 %. The significant factor in the development of such a trend is the growth of passenger transport fleet. Over the past decade the number of cars in Russia has almost doubled. According to the Ministry of Natural Resources, the use of environmentally friendly fuels does not save from the carbon monoxide emissions, only the use of electric vehicles and bicycles can principally help. The latter type of transport does not take hold in the majority of natural and climatic zones of Russia. The objective of the research is to identify the main factors that create obstacles to the spread of environmental innovations in the field of personal passenger road transport. The research is based on the competition theory by M. Porter, in particular the creation of barriers to market penetration and consumer behavior theory. The following methods of market research are used: online survey of potential consumers at age of no more than 30 years, interviews with experts directly related to the car trade. The first target group for the study was chosen because the younger generation of car owners will promote the growth of the electric vehicle market in the next decade. The second research target group has the ability to track the current priorities of car buyers and is able to assess the commercial potential of electric vehicles.
The problem of modeling and accounting for uncertainty in modern tasks of management is relevant. The effectiveness of the decisions depends significantly on the methods for describing the uncertainty in the problem. The greatest development in agrarian science received optimization and econometric models. How-ever, these models are based on quantitative determined initial information and accounting for uncertainty as randomness, which is described by probabilistic and statistical methods. Meanwhile, many modern decision-making tasks in planning and managing agricultural production are characterized by the presence of uncertain factors, as well as the availability of high-quality, inaccurate or in-complete information. To account and describe such uncertainty, an alternative approach to the probabilistic approach is needed. Fuzzy set theory is one of the most effective mathematical tools aimed at formalizing and processing uncertain information. The econometrics section related to using fuzzy set theory in regression analysis is developing methods of fuzzy regression modeling. The possibilities of using fuzzy regression modeling tools for analyzing management processes of agricultural production are discussed in this article.
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