Modeling the social responsibility of the hospitality industry as a factor of sustainable development of a travel destination of the Kaliningrad region, Russia

V. S. Korneevets, L. V. Semenova, N. V. Yakovenko
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Abstract

Aim . To substantiate approaches to the modeling of the social responsibility of the hospitality industry as a factor of sustainable development of a travel destination. Material and Methods . System analysis theory, economic-statistical method, comparative-descriptive analysis and general scientific methods of empirical research were used to process the initial information and to write the paper. The empirical grounding of the proposed model was based on a survey of the population which had experienced accommodation facilities, on questions about social responsibility and on changes in consumer habits. Results . The authors have identified and characterised the main approaches to modeling social responsibility of the hospitality industry as a factor of sustainable development of a travel destination. A model of corporate social responsibility of a local hotel cluster, which focuses on improving the quality of the hospitality industry, the introduction of energy-efficient and convenient technologies, as well as the development of socio-cultural and tourist infrastructure which contribute to the growth of the social infrastructure of the business, is proposed. Conclusion . The universal nature of the structure of the proposed model, allows the extrapolation of the main results concerning the system of the hospitality industry not only in the Kaliningrad region, but also in other regions of the Russian Federation.
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将酒店业的社会责任建模为俄罗斯加里宁格勒地区旅游目的地可持续发展的一个因素
的目标。将酒店业的社会责任作为旅游目的地可持续发展的一个因素进行建模。材料和方法。本文采用系统分析理论、经济统计方法、比较描述分析和一般科学的实证研究方法来处理初始信息并撰写论文。所提议的模式的经验基础是根据对使用住宿设施的人口的调查、关于社会责任的问题和消费者习惯的变化。结果。作者已经确定并描述了将酒店业的社会责任作为旅游目的地可持续发展的一个因素进行建模的主要方法。提出了一种地方酒店集群的企业社会责任模式,其重点是提高酒店业的质量,引进节能和便利的技术,以及发展社会文化和旅游基础设施,这些基础设施有助于业务的社会基础设施的增长。结论。所提议的模型结构具有普遍性,因此不仅可以推断加里宁格勒地区,而且可以推断俄罗斯联邦其他地区有关酒店业系统的主要结果。
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来源期刊
CiteScore
0.80
自引率
50.00%
发文量
73
审稿时长
8 weeks
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