scholarly journals Framework Legislation for Commercial Activities in the Area

2020 ◽  
pp. 163-184
Keyword(s):  
Commercial Activities

SCIENTIFIC AND METHODOLOGICAL ASPECTS OF THE STRATEGY OF MANAGEMENT OF SUSTAINABLE ECONOMIC DEVELOPMENT OF THE SERVICE ENTERPRISE

2017 ◽  
Author(s):  
Petro Makarenko ◽  
◽  
Olena Judina ◽  
Keyword(s):  
Economic Development ◽  
Regression Models ◽  
Performance Indicator ◽  
Restaurant Industry ◽  
Capital Investments ◽  
Progressive Development ◽  
Sustainable Economic Development ◽  
Commercial Activities ◽  
Marketing Activities ◽  
Methodological Aspects

The article substantiates the methodological tools for the formation of the mechanism for implementing the strategy of sustainable economic development of the hotel and restaurant industry. To ensure the operation of the mechanism, a system of indicators and criteria for assessing the process of sustainable economic development, based on accelerating the growth of efficiency and reducing operating costs through reserve and progressive development of resource potential of the enterprise. The paper identifies the stages of sustainable economic development of the enterprise, which include: identification, grouping and analysis of factors of progressive and reserve development, their classification and determining the degree of influence on the growth of operational (production and administrative and marketing) activities, progressive development of resource potentials; development of regression models and indicators of progressive, reserve and sustainable (static and dynamic) economic development, which explain the patterns of influence of factors on performance indicators; forecasting the parameters of efficiency and cost of production and commercial activities; formation of the volume and structure of investments by types of capital investments that ensure the progressive development of resource potentials, economic growth and sustainability of the enterprise. A methodology for creating regression models and indicators was developed, which provided an opportunity to assess and predict the ratio of resource costs and the level of operational efficiency, as well as change the performance indicator by changing the values of factor parameters or their total value in different combinations. The algorithm of the organizational and economic mechanism of realization of strategy of management of steady economic development of the enterprise of hotel and restaurant sphere is constructed. This algorithm provided the ability to determine the reserves of available resources, as well as to establish the required size and structure of capital investments that reduce costs and increase the efficiency of production and administrative activities.

Recommendations for Sustainable Cetacean-Based Tourism in French Territories: A Review on the Industry and Current Management Actions

2020 ◽  
Vol 15 (3) ◽  
pp. 211-235
Author(s):  
Josephine Chazot ◽  
Ludovic Hoarau ◽  
Pamela Carzon ◽  
Jeanne Wagner ◽  
Stéphanie Sorby ◽  
...  
Keyword(s):  
Marine Mammal ◽  
Marine Mammals ◽  
French Polynesia ◽  
Legal Framework ◽  
Whale Watching ◽  
Cetacean Species ◽  
Commercial Activities ◽  
Management Actions ◽  
Overseas Territories ◽  
Socioeconomic Benefits

Whale-watching activities provide important socioeconomic benefits for local communities and constitute powerful platform incentives for marine mammals' protection or more broadly marine environments. However, these activities can cause adverse effects on targeted populations, with considerable downside associated risks of injuries and fatality for whale watchers during inwater interactions. France with its overseas territories has the second largest exclusive economic zone (EEZ), in which more than half of existing cetacean species are encountered. In these territories, recreational and commercial whale watching, including swim-with cetacean activities, have recently developed. Yet few studies focused on these activities and their associated impacts across French territories, leading to an unclear assessment of the situation. To address this issue, we reviewed cetaceans' occurrence within the French EEZ, whale-watching industry, targeted species, local management of marine mammal-based tourism activities, and regulations in France mainland and some overseas territories (Reunion Island, Mayotte, and French Polynesia). Fortyeight species are encountered in the French EEZ, and 15 are targeted by whale-watching activities. A total of 185 operators, including 34% offering swim-with-cetaceans tours, offered trips in France and overseas in 2019. While several more or less restrictive regulations exist locally, our results indicate that French's national legal framework for marine mammals' protection remains inadequate and insufficient to cope with the recent development of this activity. As conservation biologists, managers, and stakeholders from these French territories, we cooperated to provide general guidelines for a sustainable development of whale watching at a national scale. We urge (1) to legally acknowledge and regulate whale-watching commercial activities; (2) to create a national legal framework regarding whale watching and swim-with marine mammals practices, while accounting for local distinctiveness and disparities across regions; (3) to conduct more research to evaluate local short- and long-term impacts on targeted marine mammal populations as well as the socioeconomic benefits; and (4) to reinforce synergetic relations between the different stakeholders.

Comparative analysis of business models of top pharmaceutical manufacturing companies: fifi nancial analysis

2020 ◽  
pp. 43-52
Author(s):  
L.E. Yasinskaya ◽  
Keyword(s):  
Comparative Analysis ◽  
Business Models ◽  
Financial Analysis ◽  
Active Pharmaceutical Ingredient ◽  
Pharmaceutical Companies ◽  
Manufacturing Companies ◽  
Revenue Growth ◽  
Commercial Activities ◽  
Pharmaceutical Manufacturers ◽  
Research Procedure

Introduction. Earlier, the comparative analysis of the commercial and investment activities of the companies that play the key roles in the investment processes in the Russian pharmaceutical industry and operate within the four main business models (biotechnological, generic, specialized pharmaceutical companies, active pharmaceutical ingredient (API) manufacturers) has been conducted. No full assessment of the companies’ activitiesis conceivable without a financial analysis of their activities to identify the risks of investment activities. Objective of the study. A detailed comparative analysis of the financial standing of domestic pharmaceutical manufacturers operating within the selected business models for further identification of potential financial risks for investors. Research procedure and article structure. Analysis of RAS statements (forms 1 and 2) of 72 over 500 million revenue companies grouped together as selected business models for the period from 2015 to 2019. Results. The researchers provided a detailed description of the commercial activities of domestic pharmaceutical companies within the business models under consideration. The companies within various business models showed positive revenue growth rates over the past five years. All business models demonstrate consistently high business profitability and a significant share of own capital in the asset profile. Conclusion. The results of the study show the stable financial standing of the pharmaceutical companies within various business models. The biotechnology sector companies that are the most attractive for investments have the highest quality financial standing. The specialized and generic companies show similar consistently strong performance. API manufacturers that the companies with relatively small revenues are actively developing and are attractive to restrained budget investors.

scholarly journals Prediction Models for Public Health Containment Measures on COVID-19 Using Artificial Intelligence and Machine Learning: A Systematic Review

2021 ◽  
Vol 18 (9) ◽  
pp. 4499
Author(s):  
Anil Babu Payedimarri ◽  
Diego Concina ◽  
Luigi Portinale ◽  
Massimo Canonico ◽  
Deborah Seys ◽  
...  
Keyword(s):  
Public Health ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Systematic Review ◽  
Public Transportation ◽  
Prediction Models ◽  
Positive Impact ◽  
Health Interventions ◽  
Public Health Interventions ◽  
Commercial Activities

Artificial Intelligence (AI) and Machine Learning (ML) have expanded their utilization in different fields of medicine. During the SARS-CoV-2 outbreak, AI and ML were also applied for the evaluation and/or implementation of public health interventions aimed to flatten the epidemiological curve. This systematic review aims to evaluate the effectiveness of the use of AI and ML when applied to public health interventions to contain the spread of SARS-CoV-2. Our findings showed that quarantine should be the best strategy for containing COVID-19. Nationwide lockdown also showed positive impact, whereas social distancing should be considered to be effective only in combination with other interventions including the closure of schools and commercial activities and the limitation of public transportation. Our findings also showed that all the interventions should be initiated early in the pandemic and continued for a sustained period. Despite the study limitation, we concluded that AI and ML could be of help for policy makers to define the strategies for containing the COVID-19 pandemic.

scholarly journals Gender Inequality in Safety and Security Perceptions in Railway Stations

2021 ◽  
Vol 13 (7) ◽  
pp. 4007
Author(s):  
Pierluigi Coppola ◽  
Fulvio Silvestri
Keyword(s):  
Gender Gap ◽  
Public Transport ◽  
Stated Preference ◽  
Revealed Preference ◽  
Behavioral Models ◽  
Mobility Patterns ◽  
Railway Stations ◽  
Commercial Activities ◽  
Transport Services ◽  
Disaggregate Data

Recent studies have shown that gender is the personal aspect that mostly affects mobility patterns and travel behaviors. It has been observed, for instance, that female perception of unsafety and insecurity when traveling using public transport forces them to make unwanted travel choices, such as avoiding traveling at certain times of day and to specific destinations. In order to improve the attractiveness of public transport services, this gender gap must not be overlooked. This paper aims at contributing to research in gendered mobility by investigating differences in safety and security perceptions in railway stations, and by identifying which policies could be effective in bridging any existing gap. The methodology includes the collection of disaggregate data through a mixed Revealed Preference/Stated Preference survey, and the estimation of fixed and random parameters behavioral models. Results from a medium-sized Italian railway station show that female travelers feel safer in the presence of other people; they prefer intermodal infrastructures close to the entrance of the station and commercial activities in the internal premises. Moreover, unlike male travelers, they do not appreciate the presence of hedges and greenery outside stations.

scholarly journals A social trust and preference segmentation-based matrix factorization recommendation algorithm

2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Wei Peng ◽  
Baogui Xin
Keyword(s):  
Matrix Factorization ◽  
Social Trust ◽  
State Of The Art ◽  
User Preference ◽  
Social Recommendation ◽  
Recommendation Algorithm ◽  
Commercial Activities ◽  
Trust Relationships ◽  
Recommendation Algorithms ◽  
The Difference

AbstractA recommendation can inspire potential demands of users and make e-commerce platforms more intelligent and is essential for e-commerce enterprises’ sustainable development. The traditional social recommendation algorithm ignores the following fact: the preferences of users with trust relationships are not necessarily similar, and the consideration of user preference similarity should be limited to specific areas. To solve these problems mentioned above, we propose a social trust and preference segmentation-based matrix factorization (SPMF) recommendation algorithm. Experimental results based on the Ciao and Epinions datasets show that the accuracy of the SPMF algorithm is significantly superior to that of some state-of-the-art recommendation algorithms. The SPMF algorithm is a better recommendation algorithm based on distinguishing the difference of trust relations and preference domain, which can support commercial activities such as product marketing.

scholarly journals Noise at the time of COVID 19: The impact in some areas in Rome and Milan, Italy

Noise Mapping ◽  
2020 ◽  
Vol 7 (1) ◽  
pp. 248-264
Author(s):  
Rosa Maria Alsina Pagès ◽  
Francesc Alías ◽  
Patrizia Bellucci ◽  
Pier Paolo Cartolano ◽  
Ilaria Coppa ◽  
...  
Keyword(s):  
Sound Pressure ◽  
Traffic Noise ◽  
Motor Vehicles ◽  
Acoustic Environment ◽  
Commercial Activities ◽  
Real Time Traffic ◽  
Italian Regions ◽  
Almost All ◽  
The Impact

AbstractThe COVID-19 pandemic was confirmed in Italy at the end of January 2020, when the first positive cases for the virus were identified. At the beginning of March, the virus had spread to all Italian regions and on 10 March 2020 the lockdown phase began, limiting the movement of people and prohibiting almost all commercial activities, businesses and non-essential industries. As a result, millions of people were forced to stay at home, causing a drastic drop in traffic volume, which significantly changed the acoustic environment and air quality of cities. On 4 May 2020, the lockdown was partially lifted and activities were progressively reopened. Therefore, traffic gradually started to increase and, consequently, the noise emitted by motor vehicles. This behaviour was confirmed by the data collected by the DYNAMAP system, an automatic platform developed within the LIFE DYNAMAP project, providing real time traffic noise maps in terms of sound pressure levels and impacts at receivers (people and dwellings exposed to noise level bands). In this paper traffic and non-traffic-related noise events in the cities of Rome and Milan from March to May 2020 are analysed and compared to the corresponding values in 2019 to evaluate the effects of the lockdown period.

A Philippine ‘coolie trade’: Trade and exploitation of Chinese labour in Spanish colonial Philippines, 1850–98

2020 ◽  
Vol 51 (3) ◽  
pp. 457-483
Author(s):  
Mònica Ginés-Blasi
Keyword(s):  
Nineteenth Century ◽  
The Philippines ◽  
Spanish Colonial ◽  
Commercial Activities ◽  
Wide Range ◽  
Coolie Trade

Chinese immigration to the Philippines has traditionally been studied in relation to commercial activities. But between 1850 and 1898, there was an unparalleled influx of Chinese labourers, which raised the number of Chinese residents to 100,000. This influx was fuelled by the abundant profits obtained by Chinese brokers and foremen, Spanish institutions and authorities in Manila, consuls in China, and Spanish and British ship captains, all of whom extracted excessive fees and taxes from the labourers. The trade in and the exploitation of Chinese labourers in the Philippines have yet to be thoroughly researched. This article shows that the import and abuse of Chinese labourers in and to the Philippines continued throughout the second half of the nineteenth century, and that, despite some anti-Chinese Spanish colonial rhetoric, a wide range of actors and institutions, both in China and in the Philippines, took advantage of this unprecedented inflow of immigrants.

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