Selected aspects of strategic management in the service sector

Dvorský, Ján; Petráková, Zora; Khan, Khurram Ajaz; Formánek, Ivo; Mikoláš, Zdeněk

doi:10.29036/jots.v11i20.146

Cited by 42 publications

(26 citation statements)

References 45 publications

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“…Several studies (e.g. Dvorsky et al, 2020;Grimsdottir & Edvardsson, 2018) confirm the application of strategic management elements in the SME sector is somewhat different compared to large enterprises and it is considerably limited and questionable. Svarova and Vrchota (2013) examined a sample of 176 respondents for the relationship between the implementation of strategic management in the SME segment and its market stability and financial success of the company.…”

Section: Literature Reviewmentioning

confidence: 99%

Business risk management in the context of small and medium-sized enterprises

Dvorský

Belás

Gavurová

et al. 2020

Economic Research-Ekonomska Istraživanja

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The aim of this paper is to review the impact of entrepreneurs' attitudes toward the defined business risks on the perception of the future of small and medium-sized enterprises (SMEs). 454 SMEs from the Czech Republic (CR) participated in the research and completed an online questionnaire. Structural equation modelling and factor analysis were used to identify the causal relationships between the examined variables. Entrepreneurs' attitudes toward business failure also have a positive effect on the future of the SME. The perception of financial risk in positive indicators of financial performance and the perception of financial risk as part of the company's everyday life have the most significant impact on future business. Operational risk is reflected in the utilisation of corporate resources, reducing customer complaints about the quality of the company's products and the company's independence of a limited number of suppliers. The company's sales volume adequacy provides a source of market risk. It has the third strongest positive impact on the future business in the SME segment. The research results provide a valuable platform for the authors of national and regional development strategic plans looking for SME support and development as well as the authors of the relevant policies.

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Section: Literature Reviewmentioning

confidence: 99%

Business risk management in the context of small and medium-sized enterprises

Dvorský

Belás

Gavurová

et al. 2020

Economic Research-Ekonomska Istraživanja

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“…[22,23] The goal for the use of the tourist resources will be achieved with actions in three directions: 1) Improvement of the infrastructure -transport, engineering, engineering; 2) Preservation, preservation and improvement of the quality of the tourist resources -natural, cultural and anthropogenic; 3) Institutional coordination -between administrations and companies in tourism. [3] 1 Nearly 50% of the national mineral water resource, in over 30 locations SHS Web of Conferences 92, 03017 (2021) Globalization and its Socio-Economic Consequences 2020 https://doi.org/10.1051/shsconf/20219203017 Non-utilized opportunities for sustainable development of regional tourism in all its forms are hidden in the formation of cluster structures. Preferences for the following tourist clusters are expressed: -Cluster "Ski Tourism" -including the prominent ski destinations Bansko, Borovets and area "Vitosha"; -Cluster "Balneology and SPA" -Sandanski, Kyustendil, Velingrad, Sapareva Banya, Gorna Banya, Ovcha Kupel, Bankya, Kostenets, etc .…”

Section: Resultsmentioning

confidence: 99%

Risk Management of Tourism Demand in South-Western Bulgaria through Correlation Analysis

Mirchova

Durova

2021

SHS Web of Conf.

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Research background: The geographical location and the favorable natural features in Bulgaria are a solid precondition for the country to establish itself as a traditional tourist destination. Purpose of the article: This research attempts to find out which parameters affect the processes of tourist demand and supply, thus creating the conditions for optimization of the tourist enterprise as an economic indicator. Methods: The aim of the study is to make a quantitative assessment of the strength of the dependence between the factors that influence the tourism demand and receiving economic results via correlation and regression analysis. On the basis of this quantitative assessment, the risk can be managed and valuable conclusions can be drawn to improve the use and management of resources. Findings and Value added: The empirically investigated relationships show whether the level of labor productivity of the analyzed tourist enterprises is affected by the level of employment on the tourist site. It is necessary to intensify the activities for attracting new customers such as advertising, PR., improving the image of the tourist site. All this will have a positive impact on the development of the various forms of tourism and the social situation of the population in the study region. The strong influence of the size of the current expenditures on the economic results, found in all the studied tourist sites, necessitates the improvement of the tourist demand. Managers can apply flexible approaches to managing risk related to expenditures and revenue at the tourist enterprises.

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“…This methodology results from explicit developments described by the absence of repeatable outcomes, which causes it to be more difficult to utilize the total quality management (TQM) standards [17]. The focus of this paper is to recognize and characterize the significant variables of vital administration in Small and Medium-sized Enterprises (SMEs), with a spotlight on the help area to think about its present circumstance [18]. The utilization of information and communication technology (ICT) innovations and the help of better approaches for the deduction, acting, and working in policy implementation, as well as the expanded arrangement of data and openness through different channels, are the establishment of the government [19].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of Models for the Construction Duration Prediction in Highway Road Projects of India

2021

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Predicting the duration of construction projects with acceptable accuracy is a problem for contractors and researchers. Numerous researchers and tools are involved in sorting out this problem. The aim of the study is to predict the construction duration using four analytical tools as an approach. The success of construction projects in regard to time depends on various factors such as selection of contractors, consultants, cost of the projects, quality of the projects, the quantity of the projects, environmental factors, etc. Presently available commercial tools in the market are not designed as universally common and concerned. Every tool performs well in a particular situation. The prediction of India’s highway road projects duration is the biggest construction issue in the country due to various reasons. To overcome this problem, the methodology of the paper adopts various strategies to find suitable tools to predict the highway road projects’ duration, in which it classifies and analyzes the collected data. As a part of this work, the details of 363 government infrastructure projects (traditional procurement) were collected from 2000 to 2018. The present study also adopts various tools for duration prediction such as artificial neural networks (ANNs), smoothing techniques, time series analysis, and Bromilow’s time–cost (BTC) model. The results of the study recommend smoothing techniques with a constant value of 0.3, which gave the remarkable very small error of 1.2%, and its outcomes become even better when compared to other techniques.

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Selected aspects of strategic management in the service sector

Cited by 42 publications

References 45 publications

Business risk management in the context of small and medium-sized enterprises

Business risk management in the context of small and medium-sized enterprises

Risk Management of Tourism Demand in South-Western Bulgaria through Correlation Analysis

A Comparative Study of Models for the Construction Duration Prediction in Highway Road Projects of India

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