Globalisation trends in the service industries

Leading world countries view innovative development and high-tech business as an opportunity to overcome economic stagnation and decline in economic growth. One of the modern trends in the analysis of high-tech development is the study of high-tech knowledge-intensive service industries and their development in times of crisis. The purpose of the paper is to identify patterns of development of large, medium and small enterprises in high-tech service industries in Russia during periods of crisis. Economic and economic-mathematical methods of analysis are applied to the formed samples of enterprises. The research period is 2013-2017. The financial indicators of enterprises were adjusted for the level of accumulated inflation in relation to 2013. According to results, large and medium-sized enterprises showed insignificant or weak significant positive dynamics of revenue during all years of the crisis period. The crisis period did not lead to a decrease in the revenue of these groups of enterprises. The acute phase of the crisis (2014-2015) had a pronounced negative impact on the group of small enterprises in all studied industries, but they successfully recovered in 2016-2017 and reached the pre-crisis level of revenue. The total revenue by industries and groups of enterprises in 2017 became higher than in 2013, and its growth rates were significant for many groups of enterprises, which indicates a successful overcoming of the crisis period and signs of growth in high-tech service industries. Our study shows the need for state support for small businesses in high-tech service industries in crisis conditions, and identifies the possibilities of adaptation of enterprises in these industries to an unfavorable external environment. Our results may be useful for the purposes of government stimulation of economic development in the current environment.

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Service industries on the international Space Station

10.2514/6.1995-4081 ◽

1995 ◽

Author(s):

Charles Lundquist ◽

Valerie Seaquist

Keyword(s):

International Space Station ◽

Space Station ◽

Service Industries ◽

International Space

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Проблемы оценки качества при проектировании транспортных услуг

Quality Innovation Education ◽

10.31145/1999-513x-2020-5-30-40 ◽

2020 ◽

pp. 30-40

Author(s):

S.U. Lyapina ◽

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V.N. Tarasova ◽

V.B. Ruchkin ◽

E.O. Koscheeva ◽

...

Keyword(s):

Life Cycle ◽

Business Processes ◽

Service Industries ◽

Service Organizations ◽

Quality Of Services ◽

Market Failures ◽

Expert Opinions ◽

Service Life Cycle ◽

Quantitative Indicators

The quality issues of new services directly affect the competitiveness of service organizations. However, the introduction of new services to the market is often limited only to the construction of the logistics of business processes, and the design applies only to technological equipment and infrastructure, the quality of which ultimately does not always ensure the quality of the services provided. At the same time, quality management affects mainly operational aspects, that is, it covers the later stages of the service life cycle. In resource-intensive service industries (for example, transport, communications, etc.), the high cost of equipment and infrastructure reduces the possibility of changes in service delivery technologies to improve their quality, which leads to inefficiency and market failures due to the fact that the new service does not match the real needs of customers. Despite this, forecasting and planning the quality of a service at the stage «making a decision» to launch a new service on the market remains largely without sufficient attention. The authors prove the need to design the quality of services at the stage «making a decision» to bring new services to the market. The purpose of the article is to describe the approach developed by the authors to assessing the quality of projected services at the early stages of their life cycle, which makes it possible to integrate qualitative and quantitative indicators of the future service and take into account the forecast requests of customers. The proposed approach has two features: (1) forecasting customer requirements for the quality of services is based on the results of machine learning based on data on existing and potential customers, as well as on the basis of the accumulated knowledge base of customer experience and expert opinions; (2) multi-criteria optimization is used, while some of the optimized parameters are discrete and high-quality. In conclusion, the authors demonstrated the advantages of the developed model on the examples of transport and logistics business in the field of passenger and freight transportation in Russia.

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New Dimensions of Self-Employment among Asian Americans in Los Angeles and New York

10.36650/nexus10.2_55-75_le ◽

2012 ◽

Vol 10 (2) ◽

pp. 55-75 ◽

Cited By ~ 2

Author(s):

C. N. Le

Keyword(s):

New York ◽

Los Angeles ◽

Asian American ◽

Generational Differences ◽

Census Data ◽

Service Industries ◽

Professional Service ◽

Self Employment ◽

Entrepreneurial Activities ◽

High Skill

This article uses census data from the 2006–08 American Community Survey to illustrate the range of Asian American entrepreneurial activities in the Los Angeles and the New York City areas and finds that Los Angeles self-employment is characterized by emerging high-skill “professional service” industries while New York continues to be dominated by low-skill traditional “enclave-associated” niches. Within these patterns, there are also notable interethnic and generational differences. I discuss their socioeconomic implications and policy recommendations to facilitate a gradual shift of Asian American entrepreneurship toward more professional service activities that reflect the demographic evolution of the Asian American community and the ongoing dynamics of globalization.

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