scholarly journals Determinants of Intellectual Capital: A Study of SME's Batik in Central Java

2018 ◽  
Vol 73 ◽  
pp. 08019
Author(s):  
Hidayat Wahyu ◽  
Shinta Dewi Reni ◽  
EP Apriatni
Keyword(s):  
Factor Analysis ◽  
Intellectual Capital ◽  
Sampling Technique ◽  
Intangible Asset ◽  
Relational Capital ◽  
Varimax Rotation ◽  
Central Java ◽  
Middle Range ◽  
Confirmatory Factor ◽  
Quantitative Data Analysis

The objective of this study is to explore the intellectual capital establishing factors especially for SME's. Intellectual capital constitutes intangible asset that will add the value of the company to achieve competitive excellence. Quantitative data analysis derives from the survey towards 87 middle range manages using jugdment sampling technique. The data was analysed using cronbach's alpha test to measure the reliability; exploratory factor analysis and confirmatory factor analysis with VARIMAX rotation were applied to measure factor analysis. Research location took place at two largest clusters of Batik Industry in Central Java that are Pekalongan and Laweyan-Surakarta city. The result shows that SME's batik in Central Java has an intangible asset. The factors of intellectual capital on batik SME's consists of the human capital, structural and relational capital.

scholarly journals ANALISIS KORELASI KANONIK PADA HUBUNGAN ANTARA SOFT SKILLS TERHADAP PRESTASI BELAJAR MAHASISWA

2019 ◽  
Vol 8 (4) ◽  
pp. 267
Author(s):  
NI PUTU JULIANINGSIH ◽  
EKA N KENCANA ◽  
KOMANG GDE SUKARSA
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Soft Skills ◽  
Sampling Technique ◽  
Primary Data ◽  
Learning Achievement ◽  
Confirmatory Factor

The purpose of this study is to know the relationship between soft skills and learning achievement using canonical correlation analysis and to find out the dominant dimensions of soft skills and learning achievement using confirmatory factor analysis. The data used are primary data obtained by distributing questionnaires. The sampling technique used was proportional to size sampling with the number of respondents as many as 150 respondents. The results of the study with canonical correlation analysis showed that soft skills with learning achievement had a close relationship with canonical correlation values ??of 0.70397. The results of the study with confirmatory factor analysis showed that the dominant dimensions of soft skills and learning achievement were flexibility with the percentage of the variance of 69.081% and cognitive percentage of the variance of 71.706%.

Psychometric Properties of the Coping Behavior Inventory Among Students of Arabic Universities

2018 ◽  
Vol 26 (1) ◽  
pp. 176-185
Author(s):  
Muayyad M. Ahmad ◽  
Abdulkarim Alzayyat ◽  
Ekhlas Al-Gamal
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Goodness Of Fit ◽  
Coping Behavior ◽  
Sampling Technique ◽  
Total Sample ◽  
Fit Indices ◽  
Confirmatory Factor ◽  
Arab Students ◽  
The University

Purpose:To examine the psychometric properties of the Coping Behavior Inventory (CBI) among Arab students in Jordanian universities.Methods:A stratified random sampling technique was used to select the universities and classes from each university. The total sample size was 587 students recruited from seven universities during the academic year 2015. The structure of the CBI was analyzed by exploratory factor analysis (EFA) using Statistical Package for Social Science and confirmatory factor analysis (CFA) using AMOS software. EFA for the original CBI showed poor factors structure with low reliabilities.Results:EFA and CFA revealed the modified 15-item and 3-factor scale (Problem Solving, Avoidance, Stay Optimistic), with high goodness of fit indices and strong items loading.Conclusion:The use of the modified version of CBI with students at the university level is recommended.

Reasons for Non-Engagement in Online Shopping

2016 ◽  
Vol 12 (2) ◽  
pp. 17-30 ◽  
Author(s):  
Rex P. Bringula
Keyword(s):  
Factor Analysis ◽  
Credit Card ◽  
Convergent Validity ◽  
Discriminant Validity ◽  
College Graduates ◽  
Online Shopping ◽  
Future Research ◽  
Varimax Rotation ◽  
Item Questionnaire ◽  
Confirmatory Factor

This study aimed to determine the reasons why Filipinos were not engaged in online shopping. Toward this aim, 400 respondents answered a 23-item questionnaire. It was revealed that most of the respondents were male, single, and at least college graduates. They were employees, belonged to diverse economic backgrounds, had computer and Internet access at home, and owned ATM cards. The majority did not have a credit card. Exploratory factor analysis using varimax rotation revealed that there were four reasons why respondents were not engaged in online shopping. These reasons were availability of mall services (M), quality issues (Q), price concerns (P), and interest (I). Confirmatory factor analysis reduced the number of items of MQPI from 23 to 17 items. It was disclosed that the constructs were of good fit. Discriminant validity showed that all reasons were distinct from one another. Convergent validity of the constructs was also achieved. MQPI was able to capture 72% of the reasons why Filipinos were not engaged in online shopping. Implications and directions for future research that could be derived from this study were also presented.

scholarly journals Company’s intellectual capital impact on market value of Baltic countries listed enterprises

2019 ◽  
Vol 10 (2) ◽  
pp. 309-339 ◽  
Author(s):  
Irena Mačerinskienė ◽  
Simona Survilaitė
Keyword(s):  
Human Capital ◽  
Factor Analysis ◽  
Intellectual Capital ◽  
Market Value ◽  
Listed Companies ◽  
Relational Capital ◽  
Baltic States ◽  
Structural Capital ◽  
Structural Parts ◽  
The Baltic

Research background: Currently the topic of a company’s intellectual capital is being widely investigated by various researchers. Nevertheless, only a small number of studies on the company’s intellectual capital impact on its market value were conducted. What is more, the concept of a company’s intellectual capital itself is not unified. There are some discrepancies in defining a company’s intellectual capital, unifying structural model of the company’s intellectual capital, and harmonizing the research methods and models of how to evaluate a company’s intellectual capital. Purpose of the article: The aim of the article is to examine various scientific approaches of the company’s intellectual capital and its impact on the market value of a respective company; to prepare a model of company’s intellectual capital and its impact on the market value. What is more, the aim of this article is to check and test the model effectiveness using an example of the Baltic States listed companies. Methods: Data on 58 Baltic States’ companies that are listed in Nasdaq Baltic stock exchange were taken as the basis of the research. Based on four component model (human capital, structural capital, juridical capital, relational capital) a set of indicators for assessing company’s intellectual capital was formed. Expert evaluation was used in order to assign weights for different structural parts of intellectual capital. An exploratory factor analysis was conducted in order to find out what factors are the most significant for a company’s intellectual capital. In order to find out how specific elements affect company’s intellectual capital, a pair-wise multiple correlation and regression analysis were used. An average comparison method was used to reveal differences between companies of different countries. Findings & Value added: The study contributes to the Baltic States’ knowledge on intellectual capital. It was detected that it is appropriate to use human capital, structural capital, juridical capital, and relational capital structural parts as components of company’s intellectual capital while investigating its impact on market value of a respective company. According to the obtained results, the model of a company’s intellectual capital and its impact on the market value was created, optimized, and its validity checked using exploratory factor analysis. The model was used to test the Baltic States listed companies and how their intellectual capital affects the market value. It was identified that intellectual capital in the listed companies of the Baltic States has a positive impact on their market value. Nevertheless, the study revealed that intellectual capital structural parts do not equally affect the market value of listed companies. The findings support the conclusion that human capital and relational capital have the greatest influence on the market value of listed companies. Companies where structural capital comprises the largest proportion of intellectual capital had lower levels of intellectual capital aggregated index, which could be examined in future studies.

scholarly journals The Effect of Intellectual Capital on Organizational Sustainability through Knowledge Management on Employees of Pd Dharma Jaya in Regionally Owned Enterprises of Dki Jakarta

2021 ◽  
Vol 6 (3) ◽  
pp. 226-235
Author(s):  
Alfian Noor ◽  
Lenny C. Nawangsari
Keyword(s):  
Human Capital ◽  
Knowledge Management ◽  
Employee Engagement ◽  
Intellectual Capital ◽  
Sampling Technique ◽  
Economic Benefits ◽  
Matrix Analysis ◽  
Relational Capital ◽  
Organizational Sustainability ◽  
Structural Capital

Organizational sustainability is an important strategy in improving the organization. It is not only providing economic benefits but also intellectual capital of knowledge for PD Dharma Jaya employees. Some facts in the company environment show that the company mostly thinks of a turnover in making a profit, and there is only a small effort in a company organization to obtain sustainability by increasing the intellectual capital of its employees with knowledge. This is because the sustainability of the organization is considered voluntary. Because we need research on the factors that affect the sustainability of an organization, the research objective is the effect of intellectual capital on organizational sustainability with employee knowledge management as an intervening variable in PD Dharma Jaya. The research method used is explanatory quantitative with SEM-PLS. The sample in this study was 139 employees of PD Dharma Jaya. The sampling technique used in this study was saturated sampling (census). The results show that human capital and structural capital, as well as relational capital, have a positive and significant effect on Knowledge Management. Human capital has a positive and significant effect on organizational sustainability. Structural capital and relational capital have a negative and significant effect on organizational sustainability. Knowledge Management mediates the influence of human capital on organizational sustainability. It has a positive and significant effect. Knowledge Management mediates the effect of structural capital on organizational sustainability. It has a negative and significant effect. Knowledge Management mediates the effect of relational capital on organizational sustainability. It has a positive and significant effect. Based on interdimensional correlation matrix analysis, to increase employee engagement, it is recommended to maintain and improve indicators: (1) maintaining good relationships with customers and prospective customers; (2) strengthening knowledge management among employees; (3) developing new ideas in collaboration; and (4) continuously improving hard skills and soft skills.

scholarly journals Performance assessment and the factors inhibiting the performance of Buddhist education teachers in the teaching duties

2018 ◽  
Vol 4 (2) ◽  
pp. 136-143
Author(s):  
Hesti Sadtyadi
Keyword(s):  
Factor Analysis ◽  
Work Performance ◽  
Negative Impact ◽  
Teaching Performance ◽  
Learning Program ◽  
Chi Square ◽  
Central Java ◽  
Work Pressure ◽  
Inhibiting Factors ◽  
Confirmatory Factor

This research aims to examine the components and inhibiting factors of the teacher’s work performance in the teaching assignments of Buddhist education teachers. The authors believe that the theoretical as well as the practical problems of Buddhist education teachers can be solved by examining its components and the inhibiting factors. This research was developmental research that begins by compiling the component of performance instrument and the inhibiting factors instrument through Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). The data were then analyzed through regression analysis. The subjects of research were Buddhist education teachers in Central Java, Indonesia. The results of the research show the values of Anti-image > 0.5 for 7 indicators. Meanwhile, the loading factor was bigger than 0.5 for each component. The model had RMSEA ≤ 0.05, Chi-Square (X²) > 0.05, P = 0.55, the GFI was 0.97, which means the model was fit. The teaching performance components of Buddhist education teacher include planning the learning program, implementing the learning program, and evaluating the learning program. The inhibiting factors of the teacher’s performance are the additional tasks, the classroom atmosphere, conflict, and work pressure. This research has proved that the inhibiting factors have a negative impact on the teaching performance of Buddhist education teachers.

scholarly journals PENGARUH MODAL SOSIAL TERHADAP KEMAMPUAN INOVASI SERTA HUBUNGANNYA DENGAN KAPABILITAS INOVASI RADIKAL DAN LOKAL (STUDI PENDAHULUAN PADA PERUSAHAAN TERBUKA DI INDONESIA)

AdBispreneur ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 41
Author(s):  
Isniar Budiarti
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Intellectual Capital ◽  
Public Companies ◽  
Organizational Variables ◽  
Second Stage ◽  
Top Managers ◽  
Confirmatory Factor ◽  
The Relationship ◽  
A Company

Organizational knowledge as social capital emphasizes that knowledge is utilized through various approaches within the company. Intellectual capital is a collection of knowledge that a company uses to gain a competitive advantage. The purpose of this study was to test the hypothesis on the influence of the human capital and organizational variables on radical and local innovation capabilities. Data collection in this longitudinal study was carried out at two different times with a questionnaire return rate of 43% in the first stage and 51% in the second stage. The research sample is a group of top managers and groups of middle and lower managers of public companies in Indonesia. This research is a quantitative study using confirmatory factor analysis (CFA) method with Lisrel 8.8 software. The brief results of this study provide a fundamental foundation as well as explain the relationship between various aspects of intellectual capital both humans and organizations and their relationship with various types of ability to innovate. Pengetahuan organisasi sebagai modal sosial menekankan bahwa pengetahuan dimanfaatkan lewat beragam pendekatan dalam perusahaan. Modal intelektual juga sebagai kumpulan pengetahuan yang dimanfaatkan perusahaan guna memperoleh keunggulan bersaing. Tujuan penelitian ini adalah untuk menguji hipotesis atas pengaruh pada variabel modal manusia dan organisasi tehadap kapabilitas inovasi radikal dan lokal. Pengumpulan data pada penelitian longitudinal ini dilakukan pada dua waktu yang berbeda dengan tingkat pengembalian kuisioner 43% pada tahap pertama dan 51 % pada tahap kedua. Sampel penelitian adalah kelompok manajer puncak dan kelompok manajer menengah dan manajer bawah perusahaan terbuka di Indonesia. Penelitian ini merupakan penelitian kuantitatif menggunakan metode Confirmatory Factor Analysis (CFA) dengan perangkat lunak Lisrel 8.8. Hasil singkat dari penelitian ini memberikan pondasi mendasar sekaligus menjelaskan hubungan berbagai aspek modal intelektual baik manusia dan organisasi serta hubungannya dengan berbagai jenis kemampuan untuk melakukan inovasi.

scholarly journals Reliability and Validity of Healthy Fitness Measurement Scale Version1.0 (HFMS V1.0) in Chinese Elderly People

2021 ◽  
Author(s):  
Qian Liu ◽  
Hui Zhou ◽  
Heng Qiu ◽  
Chen Huang ◽  
Lijie Jiang ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Elderly People ◽  
Reliability And Validity ◽  
Sampling Technique ◽  
Measurement Scale ◽  
Cronbach’S Alpha ◽  
Cross Sectional ◽  
Cronbach's Alpha ◽  
Confirmatory Factor ◽  
Acceptable Reliability

Abstract Purpose. We examined the reliability and validity of the Healthy Fitness Measurement Scale Version 1.0 (HFMS V1.0) specifically on elderly people in China.Methods. We carried out a cross-sectional study in December 2020 and enrolled 800 elderly people through stratified sampling technique. The level of healthy fitness was measured using the HFMS V1.0. The Cronbach's alpha coefficient, split-half reliability, test-retest reliability, convergent and discriminant construct validity, exploratory factor and confirmatory factor were calculated for assessing the reliability and validity of HFMS V1.0.Results. The valid samples were comprised of 777 samples (with a mean age of 71.81 ±8.36 years), 382(49.2 %) were women. HFMS V1.0 consists of 8 dimensions and 38 items. The scale had acceptable reliability (Cronbach's alpha = 0.920, split-half = 0.946, test-retest = 0.878). The correlation of each item, dimension and subscales ranged from 0.528 to 0.888 (p < 0.001). Exploratory factor analysis uncovered 11 factors with the cumulative contribution rate of 68.09% and all factor loads over 0.40. The item distribution was consistent with the initial expectation of the scale. The confirmatory factor analysis indicated good fit: CMIN/DF=2.773, RMSEA=0.048, IFI=0.915, TLI=0.904, CFI=0.915.Conclusion. HFMS V1.0 was shown to have acceptable reliability and validity. Collectively, HFMS V1.0 is reliable and efficient to measure the healthy fitness of elderly people.

scholarly journals Testing McClelland at the Academy: An Analysis of Entrepreneurial Behavioral Characteristics

2020 ◽  
Vol 12 (5) ◽  
pp. 1771
Author(s):  
Paulo Mourão ◽  
Débora Regina Schneider Locatelli
Keyword(s):  
Factor Analysis ◽  
University Students ◽  
Public University ◽  
Behavioral Characteristics ◽  
Single Factor ◽  
Varimax Rotation ◽  
Confirmatory Factor ◽  
Bachelor's Degrees ◽  
Methodological Procedures ◽  
Main Component

The aim of this study was to test whether Entrepreneurial Behavioral Characteristics (EBC) develop in Brazilian university students as described by McClelland. Methodological procedures tested McClelland’s (1963;1987) perspective with a sample of university students, also emphasizing the dimensions leading to sustainable businesses. Data collection was performed using a closed questionnaire with fifty-five questions using the Likert scale, applied manually for five years, at the beginning of seven different semesters. The questionnaire was answered by a sample of 238 university students from bachelor’s degrees at a Brazilian public university. Data analysis was based on exploratory factor analysis using the main component method and Varimax rotation and confirmatory factor analysis. It has been pointed out that the 10 dimensions of the EBCs are a single factor which also poses methodological challenges as a tendency of homogenization observed in the respondents, which, in itself, can be challenging for the entrepreneurship strategies expected of universities in the future.

Psychometric Properties of a New Scale Measuring Neglect and Abuse of Older Adults in the Community: Implications for Social Activity

2020 ◽  
Vol 41 (2) ◽  
pp. 163-172
Author(s):  
Nestor Asiamah ◽  
Kyriakos Kouveliotis ◽  
Richard Eduafo ◽  
Richard Borkey
Keyword(s):  
Older Adults ◽  
Principal Component Analysis ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Social Activity ◽  
Principal Component ◽  
Varimax Rotation ◽  
Factor Solution ◽  
Confirmatory Factor

Background Neglect and abuse of older adults are still prevalent in communities of developing countries, a situation that could discourage active and healthy behaviors in community-dwelling older adults. Methods This study used the cross-sectional and correlational approaches to construct a scale measuring neglect and abuse in older adults living in the community. The study population was all (3,211) older adults who were resident in Accra and were part of the database of the Social Security and National Insurance Trust. Participants were 515 individuals who met some inclusion criteria. Three steps were followed to determine an initial set of 11 items, and principal component analysis with varimax rotation and confirmatory factor analysis were used to select relevant items and assess the psychometric properties of the final scale. Results Principal component analysis with varimax rotation yielded a two-factor solution on all 11 items. The first factor extracted was “discrimination and exploitation,” which accounted for a variance of 53.9% out of total variance of 70.8%. The scale had a good internal consistency (Cronbach’s α = .90, factor loading ≥0.50). Confirmatory factor analysis confirmed the two-factor solution and produced satisfactory convergent and discriminant validity. Conclusion It is concluded that 11 items that make up 2 factors are potential indicators of neglect and abuse of older adults at the community level. Finally, neglect and abuse of older people in the community can contribute to an increase or decrease in social activity.

Sign in / Sign up

Export Citation Format

Share Document