Analysis of Factors Influencing the Competitiveness  of Manufacturing Companies

Kuźmiński, Łukasz; Jałowiec, Tomasz; Maśloch, Piotr; Wojtaszek, Henryk; Miciuła, Ireneusz

doi:10.35808/ersj/1590

Cited by 10 publications

(6 citation statements)

References 14 publications

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“…The modern economy is systemic, regulated by individual markets, which includes both private entities, as well as enterprises and public institutions that are supposed to ensure that the needs of a specific customer are met [1]. The economy in this branch covers three basic sectors-agriculture, industrial, and service [2], and all activities carried out in a specific region (regional economy), country (national economy), and throughout the world (global economy) [3]. The management of these sectors is carried out in order to create a wide variety of values and services that respond to the needs of individual consumers [4].…”

Section: Introductionmentioning

confidence: 99%

Food Services in the Tourism Industry in Terms of Customer Service Management: The Case of Poland

2022

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The catering market in Poland, especially in such areas as the Old Town in Gdańsk, is constantly developing, and in recent years there has been a great development in gastronomic offerings; therefore, the potential in this sector is significant. The gastronomic services market in Gdańsk is subject to segmentation due to the diversity of consumer needs and the location of the outlets. New points are constantly appearing on the gastronomic map of this historical part of Tri-City, where every tourist, regardless of the adopted form of tourism, can satisfy his or her needs without any problems. The authors aimed to analyse the impact of catering services on the tourism industry. In particular, the study is an attempt to identify the functioning of the contemporary culinary market and the conditions for the development of catering services and to describe the forms of enterprises providing this service. The variety of aspects of the research subject matter, oscillating around the main objective, made it necessary to formulate the following research hypotheses: first hypothesis (H1)—catering services influence the management of the tourism industry; second hypothesis (H2)—the tourist is the main determinant shaping demand; third hypothesis (H3)—the tourist contributes to benefits in the sphere of supply. The research tool was two structured, short survey questionnaires used to verify the hypothesis. The survey was conducted during the summer of 2018. The survey involved 20 restaurateurs from the Old Town in Gdańsk and 438 random tourists over 15 years old. The survey of tourists can be characterised as randomised focus groups. The questionnaire addressed to owners of catering establishments was a representative survey. The implication of research carried out among representatives of the tourism segment is the development of a foodservice market based on a marketing strategy that takes into account the specific needs of consumers and the constant monitoring of market behaviour in order to keep up with the changes that occur in it.

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Section: Introductionmentioning

confidence: 99%

Food Services in the Tourism Industry in Terms of Customer Service Management: The Case of Poland

2022

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“…A company's financial performance is not always correlated with its organizational structure. Kumiski et al [23] conducted an analysis of the variables affecting the competitiveness of manufacturing firms. The following elements were examined: the size of the business, the amount of competition, the number of suppliers and customers, an evaluation of the dynamics of supplier and customer collaboration over the previous five years, and the nature of the market for the company's products.…”

Section: The Concept Of Competitivenessmentioning

confidence: 99%

Competitiveness and financial index relations as advisory tools in the Greek cotton manufacturing firms

Konstantinidis,

Tsiouni,

Kountios

et al. 2023

Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023)

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Greece is the leading cotton country in the EU, with over 80% of the total production of cotton based on USDA data. The cotton sector is not only an important part of the Greek agricultural economy but also of the European Union. Through the rise in demand for the product and the increase in its prices, the recession in cotton prices in recent years appears to be on the verge of recovery, resulting in significant signs of improvement in the manufacturing companies of the sector, which appear to be highly competitive.Additionally, assessment of competitiveness in a fluid financial international economic environment is of major importance for all businesses and more specifically for this sector of the economy. The objective of this work is to evaluate the competitiveness of the two largest manufacturing companies in the sector using indicators as a basic tool, not only for determining their financial situation but also as an advisory tool for choosing the right strategic stimulus to boost their competitiveness. The results show significant financial relationships between the key indicators which are measures for determining their competitiveness and choosing the appropriate strategy.

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“…The fundamental sources responsible for the implications of risk include all kinds of processes taking place within the chain and the related suppliers, customers, service providers and the market competition (Kuzminski et al, 2020). The risk within the supply chain is tightly related to phases of logistical flows within the company; three fundamental categories of risk are distinguished between supply risk (possible, unwanted events occurring in particular during the supply phase, impacting the capacity of the enterprise to fulfil and achieve customer expectations), operational risk (unwanted events that might occur during production), demand risk (unwanted events occurring during the distribution of goods/services, and which influence the probability of placement of orders and fluctuations in the volumes of the orders placed) (Małyszek, 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

Risk in Supply Chain Management

Kabus¹,

Miciuła²,

Piersiala³

2020

ERSJ

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Purpose: The research problem handled in this article entails the determination of the relationship between the risk and the possibility of emergence of specific interference and problems along the supply chain. Design/Methodology/Approach: The utilised statistical analysis that is supposed to help to achieve the assumed research objective of the present article entails the identification of key interference present along the supply chain of the tested company and the identification of causes and effects of their emergence. The analysis was based on the FMEA. Tested were six types of the most common interference, negatively influencing the supply chain of the given enterprise. The analysis forms the basis for the assessment of risk related to the emergence of the individual interference types in the supply chain. Findings: The verification of the research hypothesis in the theoretical sense was conducted using the scientific cognition method, the foundation of which was formed by non-series Polish and foreign publications as well as articles published in scientific journals. For the empirical part, the basis was formed by original material, case studies of the company Deltim concerning logistical processes, the functioning of the supply chain, and inconsistencies emerging in this area. Practical Implications: Research results may be used by small and medium production enterprises and as teaching material at higher education facilities. Originality/Value: Original research.

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Analysis of Factors Influencing the Competitiveness of Manufacturing Companies

Cited by 10 publications

References 14 publications

Food Services in the Tourism Industry in Terms of Customer Service Management: The Case of Poland

Food Services in the Tourism Industry in Terms of Customer Service Management: The Case of Poland

Competitiveness and financial index relations as advisory tools in the Greek cotton manufacturing firms

Risk in Supply Chain Management

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