Search results

1

Determinants of FDI in Czech Manufacturing Industries between 2000-2007

100%

Michalíkovń E., Galeotti E.

South East European Journal of Economics and Business

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2010

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vol. 5

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issue 2

21-32

EN

The Czech Republic (and its manufacturing industry) has been a successful recipient of foreign direct investment over recent years. Therefore, it is important to understand the decisions made by foreign investors where to place their investments and how to decide on their location between alternative industries. The aim of this paper is to find and estimate an econometric model describing the determinants of foreign direct investment (FDI) in the manufacturing industry of the Czech Republic between 2000-2007 and to make a review of recent literature on the topic. The econometric model includes several economic variables (for example labor, physical capital, R&D, profits per labor, Balassa index). Together with simple techniques of estimation (OLS, fixed effects) we used a generalized method of moments (GMM). In an effort to improve the result we used also a least trimmed squares estimator (LTS) from the class of robust estimators as a diagnostic tool for the heterogeneous pattern of data.

2

Competitiveness of industry in Polish regions

100%

Korol J., Szczuciński P.

Econometrics. Ekonometria. Advances in Applied Data Analytics

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2014

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issue 3(45)

71-84

EN

The aim of the paper is to first identify the factors which determine the competitiveness of the manufacturing sector as an element of region’s competitive performance and then to determine their impact on economic performance, income and employment in the sector. The analyses were conducted for NUTS 3 for the period 2009–2011. Sixteen different diagnostic variables were adopted to describe entrepreneurship, innovativeness and competitiveness. Soft modelling was employed as a method to quantify regional competitiveness of the manufacturing sector as it allows an estimation of aggregate measures for latent variables and their interrelations.

3

Strategic Processes in Georgian Manufacturing Companies – Business-Level Strategy Perspective

100%

Khoshtaria T.

Zeszyty Naukowe UPH seria Administracja i Zarządzanie

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2016

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vol. 36

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issue 109

47-72

PL

The purpose of this study is to examine the links between generic strategy types and organizationalperformance. Moreover, this paper will attempt to discover whether or not the emphasis onplanning strategy implementation will enhance a company with superior performance. This paperstudied 104 Georgian based manufacturing companies. A questionnaire was chosen as the surveyinstrument. The respondents selected were CEOs of the manufacturing companies being surveyed.Findings of this study are based on the results of the hypotheses tests which indicate that companieswith clearly defined business strategies are performing better. The group of companies with integratedstrategies had better performance than those concentrating on either of them. This contradicts theidea that it is not effective to use a combination of cost-leadership and differentiation strategy becauseof their exclusivity. There were no strong ties established between the strategic type and the planningof strategic implementation. Moreover, companies placing emphasis on planning strategy implementationhave better performances than those “stuck in the middle”. The results of this study are particularlyuseful for practitioners, as it can provide managers with the information connected with strategyformulation and implementation processes. This study makes a contribution to the existing literatureby exploring strategy processes within Georgian based manufacturing companies, and addressing theinconclusiveness of the results of generic strategies and organizational performance.

4

Technological progress spillover effect in Lithuanian manufacturing industry

88%

Markauskas M., Baliute A.

Equilibrium. Quarterly Journal of Economics and Economic Policy

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2021

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vol. 16

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issue 4

783-806

EN

Research background: Various methods for technological progress assessment and evaluation exist in the context of economic development. Each of the methods possesses distinct advantages and disadvantages in analysis of technological progress fluctuations. For most neoclassical growth theories, technological progress measures are included as exogenous variables, thus excluding evaluation of factors influencing technological progress variation throughout time. Purpose of the article: The aim of this article is to offer improvements on classical technological progress evaluation methodologies for manufacturing industries, separating effect of intersectoral technological progress spillover effect from internal factors influencing technological progress growth and perform analysis in the case of Lithuanian manufacturing industry. Methods: Earlier research papers used linear time series regression and vector autoregression methods to assess technological progress values and define equations explaining effect of different manufacturing level indicators on technological progress measure growth. This research paper uses results of previously mentioned methods and performs simulation analysis applying agent-based modelling framework. Findings & value added: The conducted vector autoregression analysis has showed that two variables which influence technological progress most significantly are labor productivity measure and gross profit value. Sensitivity analysis emphasizes that effect of these two variables on technological progress growth is substantially different. Increase in gross profit value affects technological progress growth for wider range of sectors from Lithuanian manufacturing industry (15 out of 18 analyzed sectors? technological progress measure values are affected by changes in gross profit, while changes in labor productivity influence technological progress values in the case of 9 sectors). Rising gross profit values also produce intersectoral technological progress spillover effect more significantly, while growth in labor productivity measure has stronger effect on technological progress fluctuations for sectors which are able to exploit this effect. Presented research suggests improved methodology for intersectoral technological progress spillover effect assessment in the context of manufacturing industries.

5

Labor indicators and manufacturing companies ownership patterns in Russia and its regions: results of quantitative analysis

88%

Spitsin V., Mikhalchuk A., Pavlova I., Spitsina L.

Oeconomia Copernicana

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2018

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vol. 9

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issue 2

261-285

EN

Research background: There has been an extensive process of foreign and joint ownership enterprises establishment in the Russian economy since 2006. Domestic manufacturing industry has been experiencing certain pressure on behalf of foreign direct investment bringing new technologies and higher labor requirements. Purpose of the article: The aim of this paper is to investigate differences in employment strategies and labor indicators in the case of enterprises in foreign and joint ownership (FJO) and domestic enterprises in Russian ownership (RO). We analyze the manufacturing industry in Russia and its regions under conditions of stable and crisis periods. Methods: The study enhances the analysis of Rosstat's statistical data for 2005-2016 and applies ANOVA method to compare the employment results for companies with different ownership patterns. The research is carried out both at the national level of the Russian Federation and at the regional level according to the regions. Findings & Value added: The study identifies significant decline in employment and in-crease in productivity for the period of 2005-2016. In contrast to the crisis of 2008-2009, in 2014-2016 there has been no sharp drop in employment. However, there is a substantial decline in real salaries which is comparable to the crisis of 2008-2009. According to ANOVA, statistically significant differences in labor indicators between FJO and RO companies are manifested. RO companies dominate in employment and payroll funds, while FJO enter-prises have better productivity results with a higher average salary. FJO companies demonstrated faster growth in employment and payroll fund in relatively stable conditions (2012-2013). However, they reacted with a significant reduction in employment for a new crisis (2014-2016), although the creation of new FJO enterprises continued in separate regions of Russia. The results can be used in social policy to regulate the employment and earnings of industrial workers in the current economic conditions.

6

Dynamics of survey responses before and during the pandemic: entropy and dissimilarity measures applied to business tendency survey data

88%

Tomczyk E.

Statistics in Transition new series

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2023

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vol. 24

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issue 2

185-199

EN

This article is set within the framework of studies focusing on the impact of the SARS-CoV-2 virus on the dynamics of economic activity. For the purposes of the analysis of the expectations expressed in business tendency surveys, the paper aims to verify whether the pandemic of 2020-2022 can be seen as just another contraction phase. Entropy and dissimilarity measures are employed to study the characteristics of the expectations and assessments expressed in the business tendency survey of Polish manufacturing companies. The empirical results show that the dynamics of the manufacturing sector data, particularly as far as general economic conditions are concerned, set the pandemic period apart. The economic consequences of the COVID-19 pandemic expressed in business tendency surveys tend to be unfavourable, but the statistical properties or the degree of the concentration of respondents’ answers do not correspond closely either to the expansion or contraction phases of the business cycle.

7

EMPLOYEE EMPOWERMENT AND CONTINUENCE COMMITMENT IN THE NIGERIAN MANUFACTURING INDUSTRY

88%

Okolie U. C., Ochei J. O.

International Journal of New Economics and Social Sciences

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2020

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vol. 11(1)

209-222

EN

Employee empowerment and continuance commitment are two concepts that are of significance to all modern corporate entities. A robust appreciation and application of employee empowerment will contribute in measurable respects to the growth and sustainability of various organizations and continuance commitment of their employ-ees. This study is an assessment of the relationship and the effect of employee empow-erment on continuance commitment in the Nigerian manufacturing industry. A cross-sectional survey design method was adopted and data was collected via a survey of three hundred and three (303) respondents randomly selected from a population of 1243 employees of 25 manufacturing companies in Delta State, Nigeria. Data collect-ed were analyzed using Spearman’s Rank Correlation and linear regression analysis with the aid of Statistical Package for Social Science (SPSS) version 23. The results of the study showed that there is significant relationship between employee empowerment and continuance commitment. As predicted, the study also revealed that employee empowerment exerts a positive and statistically significant effect on continuance commitment in manufacturing companies in Delta State, Nigeria. Based on these find-ings, we conclude that employee empowerment has significant influence on continu-ance commitment. The study therefore recommends among others that management of manufacturing companies in Nigeria should grant their employees power to initiate change, thereby encouraging them to take charge of their work tasks. Empowerment, continuance, commitment, motivation, manufacturing industry Upodmiotowienie pracownika oraz potrzeba kontynuowania pracy dla organizacji są to dwie koncepcje, które mają duże znaczenie dla wszystkich współczesnych podmiotów korporacyjnych. Istotne uznanie i zastosowanie upodmiotowienia pracownika znacząco wpływa na wzrost i równowagę różnych organizacji oraz potrzebę kontynuowania pracy dla organizacji zatrudnionych tam pracowników. To badanie stanowi ocenę zależności i wpływu upodmiotowienia pracownika na potrzebę kontynuowania pracy dla organizacji w nigeryjskim przemyśle wytwór-czym. Została wykorzystana metoda przekrojowego badania ankietowego. Dane zostały zebrane w badaniu sondażowym trzystu trzech respondentów dobranych losowo z populacji 1243 pracowników zatrudnionych w 25 zakładach produkcyjnych w Stanie Delta w Nigerii. Zebrane dane zostały przeanalizowane z wykorzystaniem korelacji Spearmana oraz regresji liniowej za pomocą SPSS 23 version. Wyniki badań wskazały istotną zależność między upodmiotowienie pracownika i potrzebą kontynuowania pracy dla organizacji. Jak przewidywano badanie ujawniło również, że upodmiotowienie pracownika wywołuje pozytywny i znaczący statystycznie wpływ na potrzebę kontynuowania pracy dla organizacji w zakładach produkcyjnych w Stanie Delta w Nigerii. W oparciu o te wyniki można podsumować, że upodmiotowienie pracownika ma znaczący wpływ na potrzebę kontynuowania pracy dla organizacji. Zatem zalecenia to między innymi zapewnienie przez menedżerów zakładów produkcyjnych w Nigerii możliwości wykorzystania prawa do wprowadzania zmian, a tym samym umożliwienie pracownikom wzięcia odpowiedzialności za swoje zadania pracownicze. Upodmiotowienie, kontynuacja, poświecenie się, motywacja, przemysł produkcyjny

8

Development of innovative industries in Russia under unfavourable external environment

88%

Spitsin V., Mikhalchuk A., Chistyakova N., Spitsyna L., Pavlova I.

Equilibrium. Quarterly Journal of Economics and Economic Policy

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2018

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vol. 13

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issue 3

467-485

EN

Research background: Innovative development of industries and regions in Russia during the period 2005-2011 has not brought significant positive results. Innovative activity of regions and industries remained at a low level. After a relatively stable 2012-2013, the Russian economy faced the geopolitical crisis and economic sanctions in 2014-2015. Purpose of the article: The primary purpose of this study is to investigate the innovative development patterns of industrial sectors in selected Russian regions in the years 2012-2015, which include the period of negative external environment (2014-2015) for the national economy. Methods: The study enhances the analysis of statistical data and applies quantitative analysis methods (variance analysis). The research focuses on 14 regions of Russia, members of the Association of Innovative Regions of Russia (AIRR) and 2 specific industries: section D 'Manufacturing' and subsection DL 'Manufacture of electrical and optical equipment' which usually manifest high level of innovative economic activity. Findings & Value added: The research results show that the crisis period of 2014-2015 has not stimulated the increased innovative activities for both industries. The innovative sector (section D) grew faster than the non-innovative one in 2013, but this advantage became insignificant in 2014-2015. Some signs of revival for innovative enterprises in subsection DL were observed during the crises beginning in 2014, but this trend was not retained in 2015. The analysis of structural indicators (proportions) of the innovative sector shows that only a few AIRR regions have values comparable to the leading European countries. Most of the AIRR regions lag behind the leading foreign countries specifically on the 'Share of enterprises engaged in technological innovation' and 'Share of new or significantly improved products' Indicators. The study did not reveal the statistically significant positive dynamics of these indicators in the AIRR regions over the period 2013-2015.

9

Using robotic process automation (RPA) to enhance item master data maintenance process

63%

Radke A., Dang M. T., Tan A.

LogForum

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2020

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vol. 16

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issue 1

129-140

EN

Background: Manufacturing companies nowadays have to cope with ever-increasing speed and complexity to manage their global supply chain. Information flow manage the supply chain needs to be more accurate and real-time than ever before. Item master data management is no exception as well. This research demonstrates the potential benefits of applying robotic process automation (RPA) technology in master data management based on two companies in the manufacturing industry. Methods: The method approached by the research was a qualitative method, utilizing interpretation of data extracted from literature and semi-constructed interviews. Results: The article proposes a framework for RPA implementation in the master data managing process. Automation with software robots can greatly benefit the organization, namely: lower processing time, reduce human errors, lower operations cost, improved compliance level and higher data accuracy. Conclusions: With the objective to examine the benefits of RPA in master data management, the researchers have investigated 2 companies in the manufacturing industry to understand how they have benefited from RPA for item master data management processes. The result showed that RPA is affirmed to bring about many benefits for the organizations through structured automation. The researchers have proposed a framework for implementing RPA to capture item master data based on the change management model and the framework is separated in 3 phases involving important tasks in each phase. Future researches might use this study as a stepping stone for further studies in cognitive RPA, utilizing cognitive technology in combination with RPA technology with the mean to achieve a higher level of automation.

PL

Wstęp: Firmy produkcyjne działają obecnie w warunkach coraz większej kompleksowości zarządzania swoim łańcuchem dostaw. Przepływ informacji wspomagający zarządzanie łańcuchem dostaw musi być coraz precyzyjniejszy oraz odbywać się w czasie rzeczywistym. Zarządzanie danymi podstawowymi nie jest tu żadnym wyjątkiem. Praca przedstawia potencjalne zalety zastosowania technologii automatyzacji procesów RPA w zarządzaniu danymi podstawowymi na podstawie dwóch firm produkcyjnych. Metody: W pracy została zastosowana metoda jakościowa polegająca na interpretacji danych pochodzących z literatury fachowej oraz przeprowadzonych wywiadów. Wyniki: Wysunięto propozycję zastosowania zasad RPA w procesie zarządzania danymi podstawowymi. Automatyzacja w połączeniu z oprogramowaniem robotów wpływa pozytywnie na pracę przedsiębiorstwa poprzez skrócenia czasu obróbki, redukcję błędów ludzkich, obniżenie kosztów operacyjnych, podniesienie wzajemnej zgodności danych oraz większej ich dokładności. Wnioski: W celu określenia zalet zastosowania metody RPA w zarządzaniu danymi podstawowymi, zostały poddane analizie dwie firmy produkcyjne, które wdrożyły RPA w procesach zarządzania danymi podstawowymi. Otrzymane wyniki potwierdziły pozytywny wpływ wdrożenia automatyzacji. Zaproponowano model wdrożenia RPA oparty na modelu zarządzania zmianą i podzielony na trzy oddzielne etapy, z wyszczególnieniem zadań specyficznych dla każdego z tych etapów. Uzyskane wyniki mogą być zastosowane w dalszych pracach nad RPA.

Refine search results

Determinants of FDI in Czech Manufacturing Industries between 2000-2007

Competitiveness of industry in Polish regions

Strategic Processes in Georgian Manufacturing Companies – Business-Level Strategy Perspective

Technological progress spillover effect in Lithuanian manufacturing industry

Labor indicators and manufacturing companies ownership patterns in Russia and its regions: results of quantitative analysis

Dynamics of survey responses before and during the pandemic: entropy and dissimilarity measures applied to business tendency survey data

EMPLOYEE EMPOWERMENT AND CONTINUENCE COMMITMENT IN THE NIGERIAN MANUFACTURING INDUSTRY

Development of innovative industries in Russia under unfavourable external environment

Using robotic process automation (RPA) to enhance item master data maintenance process