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Tytuł:
Exploratory factor analysis in the measurement of the competencies of older people
Eksploracyjna analiza czynnikowa w ocenie kompetencji osób starszych
Autorzy:
Wiktorowicz, Justyna
Powiązania:
https://bibliotekanauki.pl/articles/425160.pdf
Data publikacji:
2016
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
exploratory factor analysis
competencies
ageing
Opis:
Competencies are a crucial factor of professional position and career development. The aim of this paper is the assessment of the competencies of people in late productive age using exploratory factor analysis. The second point is the critical review of the theory and practice on exploratory factor analysis. The empirical analysis is based on the Study of Human Capital data. The survey results confirm the necessity of the factor analysis in research in the area of human capital in the context of ageing. The constructed synthetic indicators allowed for a synthetic assessment of the competencies of Poles aged 50-59/64. The results of the conducted analysis confirm the large significance of all the 24 analysed competencies. The competencies of Poles aged 50-59/64 were decomposed into three groups: (1) soft competencies and physical fitness (2) computer skills and (3) availability and technical competencies.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2016, 4 (54); 48-60
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
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:
Styles of providing negative information by doctors on the basis of the analysis of the Breaking Bad News Skills questionnaire
Style przekazywania trudnych diagnoz na podstawie analizy Kwestionariusza Przekazywania Złych Wiadomości
Autorzy:
Lickiewicz, Jakub
Szwed-Łopata, Wioletta
Sałapa, Kinga
Makara-Studzińska, Marta
Powiązania:
https://bibliotekanauki.pl/articles/942243.pdf
Data publikacji:
2018
Wydawca:
Medical Communications
Tematy:
breaking bad news
exploratory factor analysis
parallel analysis
Opis:
Aim of the study: Identification of factors which determine effective communication between a doctor and a patient. Development of a tool for the evaluation of doctors’ skills of breaking bad news to patients’ relatives. Material and methods: The study was conducted with the survey method, and covered a group of 94 doctors of medicine from three hospitals in the Małopolska region in Poland. The Breaking Bad News Skills questionnaire, developed by Wioletta Szwed-Łopata and Jakub Lickiewicz, describes a doctor’s behaviour in contact with a patient’s family. Results: Exploratory factor analysis was conducted to establish the factor structure of Breaking Bad News Skills questionnaire. The scree plot was used prior to determining the number of factors. Internal consistency was evaluated with Kaiser–Meyer–Olkin (KMO) measure, which should be above 0.6, and Bartlett’s test of sphericity. The factor analysis identified five factors referring to the most characteristic types of doctors’ behaviour. These are: Communication (COM), Emotional Barriers (EMO), Partnership (PAR), Support (SUP) as well as Empathy and Compassion (EMP). The first of the constructed factors (8 items) focuses on statements concerning a doctor’s communication with a patient (COM), while the second factor (8 items) pertains to statements connected with the emotional context of breaking bad news by the physician (EMO). Next factor (5 items) includes statements about partnership (PAR). The fourth factor (5 items) concerns the ability to build a supportive environment (SUP). The last factor (8 items) comprises statements concerning partnership, refers to building a supportive environment and the doctor’ s empathy and compassion (SUP). Conclusions: Results of the Breaking Bad News Skills tool analyses indicate that it should be recommended for further scientific research and used in many areas of psychological and social practice.
Celem pracy jest identyfikacja czynników determinujących efektywną komunikację pomiędzy lekarzem i pacjentem, a także stworzenie narzędzia oceniającego umiejętności lekarzy w zakresie przekazywania złych wiadomości rodzinie pacjenta. Materiał i metody: W badaniu zastosowano metody kwestionariuszowe w grupie 94 lekarzy z trzech szpitali w Małopolsce. Kwestionariusz Przekazywania Złych Wiadomości (Breaking Bad News Skills, BBNS), autorstwa Wioletty Szwed-Łopaty i Jakuba Lickiewicza, opisuje zachowanie lekarza w kontakcie z rodziną pacjenta. Wyniki: W celu określenia struktury czynników Kwestionariusza Przekazywania Złych Wiadomości zastosowano eksploracyjną analizę czynnikową. Do określenia liczby czynników użyto kryterium wykresu osypiska. Do oceny adekwatności doboru próby do badania wykorzystano miarę Kaisera– Mayera–Olkina (KMO) oraz test sferyczności Bartletta. Analiza czynnikowa wykazała pięć czynników odwołujących się do najbardziej typowych zachowań lekarzy. Są to: Komunikacja (COM), Bariera Emocjonalna (EMO), Partnerstwo (PAR), Wsparcie (SUP) oraz Empatia i Współczucie (EMP). Pierwszy z utworzonych czynników (8 pytań) skupia twierdzenie dotyczące komunikacji lekarza z pacjentem (COM), drugi (8 pytań) koncentruje się bardziej na twierdzeniach związanych z kontekstem emocjonalnym, jaki towarzyszy lekarzowi w czasie przekazywania złych wiadomości (EMO). Kolejny czynnik (5 pytań) obejmuje twierdzenie dotyczące kontekstu o charakterze partnerskim (PAR). Czwarty czynnik (5 pytań) dotyczy budowania środowiska wspierającego (SUP). Ostatni czynnik obejmuje 4 pytania związane z empatią i współczuciem lekarza (EMP). Wnioski: Wyniki analiz statystycznych wskazują, że Kwestionariusz Przekazywania Złych Wiadomości powinien być używany w dalszych badaniach naukowych, jak również może być zastosowany w wielu obszarach praktyki psychologicznej.
Źródło:
Psychiatria i Psychologia Kliniczna; 2018, 18, 3; 248-254
1644-6313
2451-0645
Pojawia się w:
Psychiatria i Psychologia Kliniczna
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Instructors’ Engagement or Non-Engagement in Research: Towards Construct Development
Autorzy:
Celesio, Gilbert A.
Powiązania:
https://bibliotekanauki.pl/articles/1963659.pdf
Data publikacji:
2020-12-31
Wydawca:
Wydawnictwo Adam Marszałek
Tematy:
research engagement
research non-engagement
exploratory factor analysis
Opis:
Teaching, community involvement, and conducting research are the three functions of higher education institutions (HEIs). This exploration aims to develop constructs of instructors’ engagement or non-engagement in research as basis for developing a training framework. This study employed exploratory factor analysis. Eighty-four (84) instructors answered the questionnaires. The findings revealed four (4) factors of instructors’ research engagement: administrative support, recognition and promotion, motivation, and institutional requirement. It further showed instructors’ non-engagement in research could be due to four (4) factors such as time constraints, lack of experience and training, financial limitation, and lack of motivation. The scales have copious sampling adequacy and a high level of reliability. The instruments can be useful in assessing the level of instructors’ engagement and non-engagement in research.
Źródło:
The New Educational Review; 2020, 62; 157-171
1732-6729
Pojawia się w:
The New Educational Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Conditional Respect for Persons with Disabilities Questionnaire (CRPD-Q)
Autorzy:
Kurtek, Paweł
Powiązania:
https://bibliotekanauki.pl/articles/2125619.pdf
Data publikacji:
2019-03-01
Wydawca:
Katolicki Uniwersytet Lubelski Jana Pawła II. Towarzystwo Naukowe KUL
Tematy:
conditional respect
disability
internalized normative assumptions
exploratory factor analysis
Opis:
Conditional respect reflects a positive evaluation based on internalized normative assumptions (Reykowski). This evaluation may be operationalized in the form of verbal judgments, which enables the use of the questionnaire technique. The opinions on the conditions of gaining and losing respect for adults with disabilities, collected with the participation of 32 competent judges, enabled the development of a set of test items, indicating the dispositional orientation of conditional respect. The collected research material based on a sample of 323 respondents assessing the significance of various forms of disabled people’s activity to the increase or decrease in the respect they enjoy in social perception was subjected to exploratory factor analysis (with Varimax rotation). Scree plot analysis indicated the presence of two factors: the first one positive and the second one negative. A detailed examination of the items in the light of the theory of normative assumptions (Reykowski) revealed five categories: Individual Productivity, Individual and Collective Synergy (Factor I), as well as Individual Receptiveness and Antagonism (Factor II). The analysis of stability confirmed the repeatability of 29 items, and the internal consistency (Cronbach’s α) of the items for the identified categories of normative beliefs ranges from .73 to .83. Therefore, the CRPD-Q meets the basic validity and reliability criteria of the measurement of conditional respect for adults with disabilities – overall conditional respect and its various aspects. Finally, the instructions for estimating and interpreting the scores are presented and further challenges involved in the development of the measure are signaled.
Źródło:
Roczniki Psychologiczne; 2018, 21, 4; 327-344
1507-7888
Pojawia się w:
Roczniki Psychologiczne
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
How to measure employees’ interests so as to be a more socially-responsible employer: A proposal of a new scale and its validation
Autorzy:
Piwowar-Sulej, Katarzyna
Cierniak-Emerych, Anna
Powiązania:
https://bibliotekanauki.pl/articles/40010953.pdf
Data publikacji:
2023
Wydawca:
Instytut Badań Gospodarczych
Tematy:
employees’ expectations
employees’ needs
exploratory factor analysis
Exploratory Structural Equation Modelling (ESEM)
Opis:
Research background: Many authors emphasize that successful human resource management (HRM) practices align with employees’ needs associated with the construct of employees’ interests. In particular, the importance of considering employees’ interests is emphasized in the process of shaping the architecture of Socially Responsible Human Resource Management (SR-HRM) systems. Purpose of the article: The aim of the article is to contribute to understanding employees’ interests by designing and validating a measure to recognize these interests. Methods: Through the use of literature sources and expert opinions, the authors developed a list of employee interests. Empirical data collected via the survey method in Poland was used to statistically verify the measurement scale. In particular, exploratory factor analysis and exploratory structural equation modelling were applied. Findings & value added: This article shows that it is important to create a comprehensive list of interests, as well as validate the research tool used. The newly developed scale has 22 items and five dimensions: support and development at the level of the enterprise, employee participation, support and development at the departmental level, employment security, working conditions and remuneration. It may be used in a variety of companies, as well as in complex research models, and developed further taking into consideration the context of other countries.
Źródło:
Oeconomia Copernicana; 2024, 15, 1; 267-306
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Assessing global perceptions of India: Policy implications drawn from foreign tourism narratives
Autorzy:
Kaurav, Rahul Pratap Singh
Kainthola, Snigdha
Baber, Ruturaj
Tiwari, Pinaz
Powiązania:
https://bibliotekanauki.pl/articles/52057917.pdf
Data publikacji:
2024
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
tourist destination
outer perspective
exploratory factor analysis
mixed method
India
Opis:
This study scrutinizes India’s growing appeal as a tourist destination, accentuated by government initiatives and innovative tourism policies like the e-visa program, Incredible India Campaign 2.0 and digital advancements in the travel sector. With the diminishing impact of COVID-19, there is a noticeable surge in various forms of tourism – inbound, outbound and domestic. The primary focus is to understand the driving factors behind the choice of India as a destination for inbound tourists. This research delves into these motivations, providing a global perspective on India’s attractiveness. A mixed-method approach was employed, utilizing convenience sampling for data collection. The quantitative analysis was based on a survey, informed by a literature review, comprising 390 respondents from 10 diverse Indian destinations. Additionally, 25 qualitative interviews were conducted, aiming to enrich and triangulate the quantitative findings. Exploratory factor analysis (EFA) revealed five predominant motivations among inbound tourists: culinary interests, spiritual pursuits, budget-consciousness, cultural curiosity and natural allure. These findings were substantiated through thematic analysis. The outcomes have significant practical ramifications for destination managers and tourism policy developers in India. By understanding these key motivators, they can devise targeted strategies for enhancing the appeal of India to these specific tourist segments. This study not only aids in refining tourism promotion efforts but also contributes to the academic discourse on tourist motivation offering a fresh international perspective on India’s image as a tourist destination.
Źródło:
Turyzm; 2024, 34, 1; 57-66
0867-5856
2080-6922
Pojawia się w:
Turyzm
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Ukrainian adaptation of Chen and Starosta’s Intercultural Sensitivity Scale
Autorzy:
Wosik-Kawala, Danuta
Sarzyńska-Mazurek, Ewa
Korczyński, Mariusz
Bevz, Halyna
Powiązania:
https://bibliotekanauki.pl/articles/52915098.pdf
Data publikacji:
2024-12-31
Wydawca:
Wydawnictwo Adam Marszałek
Tematy:
intercultural sensitivity
Intercultural Sensitivity Scale
research instrument adaptation
confirmatory factor analysis
exploratory factor analysis
Opis:
The situation in Ukraine caused by war since 2014 and the intensification of hostilities from 2022 have led many Ukrainian citizens to emigrate. Living in other countries requires the need to adapt to often different cultural conditions. Intercultural sensitivity is an important dimension of intercultural communication competence that determines if individuals effectively adjust to a new reality. This study aims to adapt the most widely used tool for measuring intercultural sensitivity, the Intercultural Sensitivity Scale (2000) by Chen and Starosta, to Ukrainian conditions. This article comprises a presentation of a Ukrainian version of the questionnaire for measuring cross-cultural sensitivity, along with its psychometric properties. The obtained results showed that Chen and Starosta’s five-factor model of intercultural sensitivity (IS) did not fit the Ukrainian cultural context. A confirmatory factor analysis of the previous adaptations of IS, showed that the best model for the present study was the Serbian model. Therefore, we created a four-factor IS model containing 15 items (α-Cronbach’s 0.841). These factors, along with the items included in the Ukrainian version of the Intercultural Sensitivity Scale, were based on the 24-item Intercultural Sensitivity Scale (ISS) formulated by Chen and Starosta. This study contains a proposal of an alternative model of the Intercultural Sensitivity Scale that is better suited to Ukrainian culture. The questionnaire with a key is attached to the article for other researchers to use in their studies.
Źródło:
Edukacja Międzykulturowa; 2024, 27, 4; 114-126
2299-4106
Pojawia się w:
Edukacja Międzykulturowa
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Structural Equation Model-Based Selection and Strength Co-Relation of Variables for Work Performance Efficiency Under Traffic Noise Exposure
Autorzy:
Yadav, Manoj
Tandel, Bhaven
Powiązania:
https://bibliotekanauki.pl/articles/1953502.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
work efficiency
traffic noise pollution
exploratory factor analysis
structural equation model
AMOS software
Opis:
In this work, we integrated exploratory factor analysis (EFA) followed by structural equation modeling (SEM) to assess the work performance efficiency under the traffic noise environment for open shutter shopkeepers in the Indian urban context. 706 valid questionnaire responses by personal interviews in local language were collected from open shutter shopkeepers exposed to noise level (Leq) of 77 dBA for 12 to 14 hours daily. The questionnaire was prepared based on demographics, environmental conditions, and primary effects of noise pollution. Among which four common latent factors which summaries 17 questionnaire response items were obtained by exploratory factor analysis, which are “Impacts of noise” (IM), “Environmental conditions” (EC), “Personal characteristics” (PC) and “Work efficiency” (WE). The associations between the individual latent factors were studied by the structural equation model method in AMOS software. Validation of the constructed model was carried out by testing the proposed hypothesis as well as goodness-of-fit indices like Absolute fit, Incremental fit, and Parsimonious fit indices. The effect of specific latent factors derived on the work efficiency of shopkeepers in the noisy area was characterized by the path coefficients estimated in the SEM model. It was found that work performance efficiency (WE) was greatly influenced by the primary impacts of noise pollution like annoyance, stress, interference in spoken communication, which was associated with the latent factor “Impacts of noise” (IM) with a path coefficient of 0.931. The second latent factor “Environmental conditions” (EC), which was associated with parameters like ambient temperature and humidity, showed less path coefficient of 0.153. And lastly, a latent factor called “Personal characteristics” (PC) associated with age, experience, education, showed the least path coefficient of 0.05. The work efficiency of open shutter shopkeepers working in a highly noisy commercial area is profoundly affected by the prominent effects of noise pollution and least affected by ambient environmental conditions as well as their personal characteristics. The developed model clarified some casual relationships among complex systems in the study of noise exposure on individuals n tier 2 cities in the Indian context and may help other researchers to study of tier I and tier III cities.
Źródło:
Archives of Acoustics; 2021, 46, 1; 155-166
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of factor analysis in company management — selected examples related to competitiveness and market success
Autorzy:
Jurczak, Jolanta
Jurczak, Grzegorz
Powiązania:
https://bibliotekanauki.pl/articles/2086450.pdf
Data publikacji:
2021
Wydawca:
Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:
factor analysis
confirmatory factor analysis
exploratory factor analysis
management
analiza czynnikowa
potwierdzająca analiza czynnikowa
rozpoznawcza analiza czynnikowa
zarządzanie
Opis:
Factor analysis is a standard statistical technique for reducing data dimensionality, which is widely used in sociology, psychology, and demography. Also, financial and insurance institutions commonly use such a technique for marketing research. In recent years, factor analysis has been used, at the beginning rather diffidently, to analyse selected problems of business management, e.g. to troubleshoot consumer and company communication. There are some literature reports about the successful use of factor analysis in managing a company area. Nevertheless, the literature seems to lack examples with successful use of the method with a clear explanation of its rather difficult application in the field of competitiveness or potential company boost. The modest popularity of such a powerful technique in this particular field seems to be attributed mainly to the complexity of the method and its requirements concerning the data quantity. Besides, the factor analysis technique has great potential and can be used as an efficient tool to reduce the complexity of observed phenomenon or verify the accuracy of theoretical models. Therefore, the purpose of this paper is to present a vast potential of factor analysis (both exploratory and confirmatory) applied to solve various problems in company management, especially related to competitiveness and market success. Two case studies covering the subject of business management are presented to illustrate the benefits of factor analysis application. The exploratory factor analysis is exemplified by the search of factors related to the commercial success of the company, while the confirmatory technique is illustrated by a case study of the intellectual capital of the company and its factors related to competitiveness. The paper also presents the essence of the factor analysis, types of analysis, subsequent procedures, purposes, and its specific features. Finally, the applicability of the factor analysis to solve management issues and possible gain in management are discussed.
Źródło:
Engineering Management in Production and Services; 2021, 13, 3; 25--36
2543-6597
2543-912X
Pojawia się w:
Engineering Management in Production and Services
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Grammar Learning Strategy Inventory (GLSI): Another look
Autorzy:
Pawlak, Mirosław
Powiązania:
https://bibliotekanauki.pl/articles/1047099.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
grammar teaching
grammar learning strategies
Grammar Learning Strategies Inventory
validity
reliability
exploratory factor analysis
Opis:
Despite all the progress that has been made in research on language learning strategies since the publication of Rubin’s (1975) seminal paper on good language learners, there are areas that have been neglected by strategy experts. Perhaps the most blatant manifestation of this neglect is the paucity of research into grammar learning strategies (GLS). The main premise of this paper is that for such research to gain momentum, it is to necessary to create valid and reliable data collection instruments that would enable tapping the use of different types of GLS. In line with this reasoning, the article reports a study that aimed to determine the psychometric properties of the Grammar Learning Strategy Inventory (GLSI), a tool constructed by Pawlak (2009b, 2013) on the basis of his classification of strategies for learning grammar in a second or foreign language. Exploratory factor analysis was also employed with the purpose of uncovering the underlying structure of strategic learning of grammar. The analysis provided evidence for largely satisfactory validity and reliability of the GLSI, indicating at the same time there is room for improvement, with concrete changes being possible after the instrument has been tested with a much larger sample.
Źródło:
Studies in Second Language Learning and Teaching; 2018, 8, 2; 351-379
2083-5205
2084-1965
Pojawia się w:
Studies in Second Language Learning and Teaching
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Exploring leadership styles for innovation: an exploratory factor analysis
Autorzy:
Wipulanusat, W.
Panuwatwanich, K.
Stewart, R. A.
Powiązania:
https://bibliotekanauki.pl/articles/125648.pdf
Data publikacji:
2017
Wydawca:
Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:
leadership
innovation
engineer
public sector
exploratory factor analysis
przywództwo
innowacja
inżynier
sektor publiczny
rozpoznawcza analiza czynnikowa
Opis:
Leadership plays a vital role in building the process, structures, and climate for an organisation to become innovative and to motivate team expectations toward innovations. This study explores the leadership styles that engineers regard as significant for innovation in the public sector. Exploratory factor analysis (EFA) was conducted to identify the principal leadership styles influencing innovation in the Australian Public Service (APS), using survey data extracted from the 2014 APS employee census comprising 3 125 engineering professionals in Commonwealth of Australia departments. EFA returned a two-factor structure explaining 77.6% of the variance of the leadership for innovation construct. In this study, the results from the EFA provided a clear estimation of the factor structure of the measures for leadership for innovation. From the results, the two factors extracted were transformational leadership and consideration leadership. In transformational leadership, a leader values organisational objectives, inspires subordinates to perform, and motivates followers beyond expected levels of work standards. Consideration leadership refers to the degree to which a leader shows concern and expressions of support for subordinates, takes care of their welfare, treats members as equals, and displays warmth and approachability. These findings highlight the role of leadership as the most critical predictor when considering the degree to which subordinates strive for creativity and innovation. Both transformational and consideration leadership styles are recommended to be incorporated into management training and development programs. This study also recommends that Commonwealth departments recruit supervisors who have both of these leadership styles before implementing innovative projects.
Źródło:
Engineering Management in Production and Services; 2017, 9, 1; 7-17
2543-6597
2543-912X
Pojawia się w:
Engineering Management in Production and Services
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:
Struktura wielocechowej zmienności fenotypowej rodów ziemniaka uzyskanych z krzyżowań tetraploid × diploid
The structure of multivariable phenotypic variation in potato progenies derived from tetraploid × diploid crosses
Autorzy:
Domański, Leszek
Mańkowski, Dariusz R.
Flis, Bogdan
Jakuczun, Henryka
Zimnoch-Guzowska, Ewa
Powiązania:
https://bibliotekanauki.pl/articles/2198213.pdf
Data publikacji:
2012-09-30
Wydawca:
Instytut Hodowli i Aklimatyzacji Roślin
Tematy:
eksploracyjna analiza czynnikowa
EFA
krzyżowanie interploidalne
zmienność wielocechowa
ziemniak
exploratory factor analysis
interploid mating
multivariable variation
potato
Opis:
W IHAR, Oddział Młochów w latach 2008–2009, dla osiemdziesięciu rodów ziemniaka z czterech krzyżowań tetraploid × diploid przeprowadzono oceny pod kątem 12 cech użytkowych i jakościowych. Celem badań była ocena struktury wielocechowej zmienności. Eksploracyjna analiza czynnikowa (EFA) pozwoliła na wyodrębnienie 5 czynników odpowiedzialnych za 68% obserwowanej łącznej zmienności rodów. Wartości własne analizowanej macierzy korelacji dla tych czynników były większe od 1. Pierwszy czynnik (21,7% zmienności) był utworzony przez cechy odpowiedzialne za ogólny wygląd bulw (regularność kształtu, głębokość oczek, frekwencja bulw z wtórnym wzrostem). Drugi czynnik (15,5% zmienności), zwany czynnikiem plonotwórczym był skorelowany z plonem bulw, średnim ciężarem bulwy i stopniem spłaszczenia bulw. Trzeci czynnik (12,2% zmienności) określał przydatność do przetwórstwa i był skorelowany z dwoma wiodącymi cechami technologicznymi — zawartością skrobi i barwą chipsów. Czwarty czynnik (9,9% zmienności) został zinterpretowany jako wydłużenie bulw (korelacja z typem kształtu, frekwencją bulw spiczastych). Piąty czynnik (8,5% zmienności) był utworzony przez cechę wyglądu bulw. Wielowymiarowa struktura tej zmienności daje szansę na wyselekcjonowanie wartościowych tetraploidalnych rodów ziemniaka do użytkowania jadalnego, przetwórstwa spożywczego (chipsy, susze) oraz przetwórstwa na skrobię.
In IHAR, Research Center Młochów during 2008–2009, eighty potato clones derived from the four tetraploid × diploid crosses were evaluated for 12 agronomic and tuber quality traits. The research objective was to examine the structure of multivariable variation. The first five axes of exploratory factor analysis (EFA) extracted 68% of the total variance among clones. Eigenvalues of the analyzed correlation matrix for these factors were above 1. The first factor (21.7% of total variance) was created by traits responsible for general appearance of tubers (shape regularity, depth of eyes, the frequency of tubers with the symptoms of secondary growth). The second factor (15.6% of total variance) was called a performance factor and was correlated with tuber yield, mean tuber weight and tuber flatness. The third factor (12.2% of total variance) called a suitability for processing was correlated with the two key processing traits: starch content and chip colour. The fourth factor (9.9% of total variance) was interpreted as tuber elongation since it was correlated with type of shape and the frequency of tubers with pointed ends. The fifth factor (8.5% of total variance) was correlated with the skin appearance. Multivariate structure of this variance gives a chance for selecting of valuable potato clones for: table use, processing into chips or dry-products and starch processing.
Źródło:
Biuletyn Instytutu Hodowli i Aklimatyzacji Roślin; 2012, 265; 71-78
0373-7837
2657-8913
Pojawia się w:
Biuletyn Instytutu Hodowli i Aklimatyzacji Roślin
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Validity and Reliability Study of the Czech Version of the Motivated Strategies for Learning Questionnaire (MSLQ)
Autorzy:
Jakešová, Jitka
Powiązania:
https://bibliotekanauki.pl/articles/2028758.pdf
Data publikacji:
2014-03-31
Wydawca:
Wydawnictwo Adam Marszałek
Tematy:
adaptation of MSLQ
motivational aspects of self-regulated learning
construct validity: exploratory factor analysis (EFA)
confi rmatory factor analysis (CFA)
internal consistency
Opis:
This study reports on the validation of the Motivated Strategies for Learning Questionnaire (MSLQ), a self-report, Likert-scaled instrument, developed by Pintrich et al. (1991). The instrument consists of two sections, i.e., motivation in the process of self-regulated learning and the learning strategies of university students. The adaptation concerned only the first section, the learning strategies section was not part of the adaptation. The sample consisted of 284 students of the Faculty of Humanities at Tomas Bata University in Zlín (256 women and 28 men). The average age was 24, ranging from 19 to 49, with a standard deviation of 6.4 years. Within the adaptation of the MSLQ for the Czech educational environment, the exploratory and confirmatory factor analyses, Cattell’s scree test and parallel Monte Carlo analysis were performed. As a result, a 3-factor model was generated. The motivation scales tap into three broad areas: (1) expectancy (represented by academic self-efficacy; 4 items), (2) value (represented by task value; 6 items), and (3) affect (represented by test anxiety; 7 items). The internal consistency (Alphas) of the subscales varies from 0.76 to 0.84. Significant correlation between Academic self-efficacy and Task value subscales was.377. The results correspond to the theoretical model.
Źródło:
The New Educational Review; 2014, 35; 54-65
1732-6729
Pojawia się w:
The New Educational Review
Dostawca treści:
Biblioteka Nauki
Artykuł
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