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Wyświetlanie 1-6 z 6
Tytuł:
Workplace innovation: exploratory and confirmatory factor analysis for construct validation
Autorzy:
Wipulanusat, W.
Panuwatwanich, K.
Stewart, R. A.
Powiązania:
https://bibliotekanauki.pl/articles/407161.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
workplace innovation
exploratory factor analysis
confirmatory factor analysis
Opis:
Workplace innovation enables the development and improvement of products, processes and services leading simultaneously to improvement in organisational performance. This study has the purpose of examining the factor structure of workplace innovation. Survey data, extracted from the 2014 APS employee census, comprising 3,125 engineering professionals in the Commonwealth of Australia’s departments were analysed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). EFA returned a two-factor structure explaining 69.1% of the variance of the construct. CFA revealed that a two-factor structure was indicated as a validated model (GFI = 0.98, AGFI = 0.95, RMSEA = 0.08, RMR = 0.02, IFI = 0.98, NFI = 0.98, CFI = 0.98, and TLI = 0.96). Both factors showed good reliability of the scale (Individual creativity: α = 0.83, CR = 0.86, and AVE = 0.62; Team Innovation: α = 0.82, CR = 0.88, and AVE = 0.61). These results confirm that the two factors extracted for characterising workplace innovation included individual creativity and team innovation.
Źródło:
Management and Production Engineering Review; 2017, 8, 2; 57-68
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Technological Factors of Enterprise Innovation in a Strategic Perspective
Autorzy:
Rojek, Danuta
Powiązania:
https://bibliotekanauki.pl/articles/2023970.pdf
Data publikacji:
2021-12
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
innovativeness
technology
factor analysis
structural equation modeling
Opis:
Enterprise innovation is currently becoming a recognized factor of the competitiveness, survival, and development of companies in the market economy. Managers still need recommendations on ways of stimulating the growth of innovation in their companies. The objective of this paper is to identify the strategic factors of enterprise innovativeness in the area of technology, defined as the most important internal factors positively impacting the innovativeness of enterprises in a strategic perspective. Empirical studies were conducted using the Computer-Assisted Web Interview (CAWI) method on a purposive sample of N = 180 small and medium-sized innovative industrial processing enterprises in Poland. Data analysis was performed using Exploratory Factor Analysis within the Confirmatory Factor Analysis framework (E-CFA) and Structural Equation Modeling (SEM). Empirical research shows that the strategic factor of enterprise innovativeness in the area of technology is technological activity. A technologically active company should (1) possess a modern machinery stock, (2) conduct systematic technological audits, and (3) maintain close technical cooperation with the suppliers of raw materials, consumables, and intermediates. The implementation of the indicated recommendations by managers should lead to increased innovativeness of small and medium-sized industrial companies. The author recommends the use of the presented research procedure and data analysis methods in further studies.
Źródło:
Management and Production Engineering Review; 2021, 14, 4; 87-98
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Measuring agility of indian automotive small & medium sized enterprises (SMEs)
Autorzy:
Tiwari, Rupesh Kumar
Tiwari, Jeetendra Kumar
Powiązania:
https://bibliotekanauki.pl/articles/407171.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
exploratory factor analysis
multiple regression analysis
fuzzy logic
fuzzy integrated index
FII
fuzzy performance index
FPII
fuzzy ranking
Opis:
Indian SMEs are going to play pivotal role in transforming Indian economy and achieving double digit growth rate in near future. Performance of Indian SMEs is vital in making India as a most preferred manufacturing destination worldwide under India’s “Make in India Policy”. Current research was based on Indian automotive SMEs. Indian automotive SMEs must develop significant agile capability in order to remain competitive in highly uncertain global environment. One of the objectives of the research was to find various enablers of agility through literature survey. Thereafter questionnaire administered exploratory factor analysis was performed to extract various factors of agility relevant in Indian automotive SMEs environment. Multiple regression analysis was applied to assess the relative importance of these extracted factors. “Responsiveness” was the most important factor followed by “Ability to reconfigure”, “Ability to collaborate”, and “Competency”. Thereafter fuzzy logic bases algorithm was applied to assess the current level of agility of Indian automotive SMEs. It was found as “Slightly Agile”, which was the deviation from the targeted level of agility. Fuzzy ranking methodology facilitated the identification & criticalities of various barriers to agility, so that necessary measures can be taken to improve the current agility level of Indian automotive SMEs. The current research may helpful in finding; key enablers of agility, assessing the level of agility, and ranking of the various enablers of agility to point out the weak zone of agility so that subsequent corrective action may be taken in any industrial environment similar to India automotive SMEs.
Źródło:
Management and Production Engineering Review; 2019, 10, 1; 58-67
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Prioritization of barriers to lean implementation in Indian automotive small & medium sized enterprises
Autorzy:
Tiwari, R. K.
Tiwari, J. K.
Powiązania:
https://bibliotekanauki.pl/articles/406822.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
lean barriers
prioritization
Indian automotive SMEs
confirmatory factor analysis
multiple regression
analytic network process
super decision software
Opis:
Lean manufacturing has been the most deliberated concept ever since its introduction. Many organization across the world implemented lean concept and witnessed dramatic improvements in all contemporary performance parameters. Lean manufacturing has been a sort of mirage for the Indian automotive industry. The present research investigated the key lean barriers to lean implementation through literature survey, confirmatory factor analysis, multiple regression, and analytic network process. The general factors to lean implementation were inadequate lean planning, resource constraints, half-hearted commitment from management, and behavioral issues. The most important factor in the context of lean implementation in Indian automotive industry was inadequate lean planning found with the help of confirmatory factor analysis and multiple regression analysis. Further analysis of these extracted factors through analytic network process suggested the key lean barriers in Indian automotive industry, starting from the most important were absence of proper lean implementation methodology, lack of customer focus, absence of proper lean measurement system, inadequate capital, improper selection of lean tools & practices, leadership issues, resistance to change, and poorly defined roles & responsibilities. Though literature identifying various lean barriers are available. The novelty of current research emerges from the identification and subsequent prioritization of key lean barriers within Indian automotive SMEs environment. The research assists in smooth transition from traditional to lean system by identifying key barriers and developing customized framework of lean implementation for Indian automotive SMEs.
Źródło:
Management and Production Engineering Review; 2018, 9, 2; 69-79
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Operational competitiveness development in turbulent business environment: a case study in Thailand fine gold jewelry export industry
Autorzy:
Nithisathian, K.
Takala, J.
Rattanakomut, S.
Walsh, J.
Wu, Q.
Liu, Y.
Powiązania:
https://bibliotekanauki.pl/articles/407407.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
five forces analysis
sustainable competitiveness
sense and respond
critical factor index
CFI
fine gold jewellery industry
Opis:
The purpose of this paper is to identify and analyze strategy towards Thailand production service industry. Various tools are applied in the paper, including five force analysis, diamond of nation, and sense and respond method with CFI models. The analysis results show that Thai fine gold jewellery exporter should concern on value added and customer requirement; focus on product development, networking, cooperation between Thai organizers and lobbying; pay more attention to marketing orientation than personal judgment. The benefit of combining five force and diamond of nation model to analyse the strategic condition can be proved in this study.
Źródło:
Management and Production Engineering Review; 2012, 3, 3; 53-62
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
SMEs performance evaluation and optimization based on DEA and CFI
Autorzy:
Shi, Z.
Takala, J.
Muhos, M.
Poikkimaki, J.
Chen, Y.
Powiązania:
https://bibliotekanauki.pl/articles/407093.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
data envelopment analysis
DEA
critical Factor Index
CFI
small and medium-sized enterprises
SMEs
performance evaluation
optimization
Opis:
It is a core content of enterprise performance research evaluating and comparing enterprise performance in dynamic environment. In allusion to this problem, a variety of enterprise performance assessment methods and indexes systems are proposed. Data envelopment analysis (DEA) is a kind of effective mathematical model which is used for comparing the performance among enterprises or different units inside an enterprise, based on the real-world data. Through comparing the performance, DEA can evaluate the enterprise performance from scale effectiveness and technological effectiveness, and then get the performance optimization goals. Critical Factor Index (CFI) is a new enterprise performance assessment method proposed in recent years. This method, based on the performance perception of business leaders or staffs, evaluates the enterprise performance in different dimensions, and then gets the optimization strategy of enterprise resource allocation to improve integrated enterprise performance. This paper has structured a new evaluation and optimization system for performance of small and medium-sized enterprises (SMEs), which combine properly the DEA and CFI method to evaluate and optimize the SMEs' performance comprehensively, and has confirm this system with data of 5 Finnish SMEs.
Źródło:
Management and Production Engineering Review; 2013, 4, 1; 57-64
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-6 z 6

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