scholarly journals Peran Human Capital Dan Orientasi Kewirausahaan Pada Proses Internasionalisasi UKM Ekspor di Bali

2021 ◽  
pp. 269-278
Author(s):  
Ni Putu Ayu Darmayanti ◽  
◽  
Ni Putu Santi Suryantini ◽  
Ayu Desi Indrawati ◽  
I Wayan Edi Arsawan ◽  
...  
Keyword(s):  
Human Capital ◽  
Regression Analysis

Literasi teknologi dari para pelaku UKM semakin meningkat dan perubahan dalam ekonomi global memiliki dampak yang sangat besar bagi UKM, dimana perubahan tersebut menawarkan peluang baru untuk berkembang, yaitu terbukanya ekspansi untuk melakukan internasionalisasi. Proses internasionalisasi bukanlah hal yang mudah karena ada permasalahan yang dihadapi meliputi pengetahuan yang kurang tentang pasar karena kurangnya pengalaman dan informasi untuk memperkenalkan produk UKM ke pasar internasional. Tujuan penelitian ini adalah mengkaji pengaruh human capital pada proses internasionalisasi UKM di Provinsi Bali serta menganalisis peran orientasi kewirausahaan dalam memoderasi pengaruh kedua variabel tersebut dengan teknik analisis yang digunakan adalah Moderated Regression Analysis (MRA). Hasil penelitian menunjukkan human capital berpengaruh signifikan terhadap proses internasionalisasi UKM ekspor di Provinsi Bali. Orientasi kewirausahaan ditemukan berpengaruh signifikan terhadap proses internasionalisasi UKM ekspor namun tidak berperan sebagai variabel pemoderasi dari pengaruh human capital pada proses internasionalisasi UKM ekspor di Provinsi Bali. Para pelaku UKM harus memiliki tingkat human capital (kemampuan, keahlian, pengalaman, pengetahuan) yang tinggi agar proses internasionalisasi dilakukan sesuai target, mampu mengambil risiko dengan baik dan proaktif melakukan penjajagan terkait dengan perkembangan usahanya, serta mampu melihat berbagai peluang ataupun ancaman yang dihadapi ketika UKM melakukan proses internasionalisasi.

HC and financial performance with two HRM strategies

2017 ◽  
Vol 66 (4) ◽  
pp. 459-478 ◽  
Author(s):  
Nopadol Rompho
Keyword(s):  
Human Capital ◽  
Regression Analysis ◽  
Financial Performance ◽  
Lead Time ◽  
Design Methodology ◽  
Strategy Choice ◽  
Content Type ◽  
The Relationship ◽  
Practical Implications

Purpose The purpose of this paper is to examine the relationship between levels of human capital and financial performance of firms that use two distinct human resource management (HRM) strategies. Design/methodology/approach A survey of 128 HRM managers was conducted to assess differences in human capital between firms using different HRM strategies. A multiple regression analysis was used to investigate the relationship between firms’ human capital and financial performance. Findings The results show that companies employing a make-organic strategy have a higher level of human capital than companies employing a buy-bureaucratic strategy. There was no relationship between the level of human capital and long term financial performance of firms with both make-organic and buy-bureaucratic strategies. Research limitations/implications This research contributes toward understanding the effect of HRM strategy and facilitates an optimal strategy choice depending on the organization. However, this study did not consider the lead time between changes in human capital and the effect on financial performance. Practical implications The research encourages firm managers to understand the value of human capital, preparing them for changes in the future. Originality/value This study is among the first to investigate the relationship between human capital and financial performance considering different HRM strategies.

scholarly journals PROBABILITAS ANGKATAN KERJA TERDIDIK YANG TIDAK TERSERAP PADA PASAR KERJA

2020 ◽  
Vol 5 (2) ◽  
pp. 193-203
Author(s):  
Muhit Hidayah ◽  
◽  
Joko Triyanto ◽  
Keyword(s):  
Human Capital ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Population Growth ◽  
Marital Status ◽  
Demographic Transition ◽  
Economic Factors ◽  
Demand Side ◽  
Long Run ◽  
Household Members

The existence of a demographic transition that in the long run has an impact on the population explosion in the productive age and even the population trend shows a growing pattern of population growth in the productive age. It is feared that the number of people of productive age who are not absorbed in employment will eventually become unemployed. Unemployment of productive age will have an impact on the amount of educated unemployment. This study will analyze the demographic, human capital and economic factors behind educated unemployment in Sragen Regency in 2019, from the supply dan demand side. The data used is the raw data of the results of the National Labor Force Survey (SAKERNAS) in Agustus 2019 from the Statistics of Sragen Regency (BPS) with a sample of 602 respondents. The method used is logistic regression analysis. The results showed that the variables age, number of household members, gender, relationship with the head of the household, marital status, Diploma I / II, Diploma III, Diploma IV / S1 and S2 affect the probability of the educated workforce to be unemployed. Meanwhile, the domicile variable does not significantly affect the probability of the educated workforce being unemployed.

Entitlement, Obligation, and Gratitude in Family Work

1996 ◽  
Vol 17 (1) ◽  
pp. 60-82 ◽  
Author(s):  
KAREN PYKE ◽  
SCOTT COLTRANE
Keyword(s):  
Human Capital ◽  
Regression Analysis ◽  
Household Labor ◽  
Family Work ◽  
Household Tasks ◽  
Extramarital Affairs ◽  
Social Structural ◽  
Past Experiences ◽  
Structural Theories ◽  
Egalitarian Attitudes

This article explores how feelings of entitlement, obligation, and gratitude affect family work. Exploratory interviews suggested that memories of past events, including extramarital affairs, created expectations and referents that influenced subsequent divisions of household labor. Using regression analysis of survey data from a random sample of 193 remarried individuals, hypotheses about the division of labor derived from human capital and social structural theories were tested along with the hypothesis that past affairs would influence the allocation of household tasks. More sharing of household labor was associated with husbands being employed fewer hours and holding egalitarian attitudes, and wives being employed longer, earning more, and holding conventional attitudes. Husbands' previous extramarital affairs were associated with less sharing. Drawing on gender theory, the authors suggest that past experiences, situational constraints, and patterns of inequality in the larger society influence marital economies of gratitude, which, in turn, shape the allocation of household labor.

Analysis of Labour Efficiency and Human Capital Assessment in the Russian Federation on the Example of Siberian Federal District

2016 ◽  
Vol 4 (1) ◽  
pp. 57-60
Author(s):  
Комарова ◽  
Anna Komarova ◽  
Басовский ◽  
Leonid Basovskiy
Keyword(s):  
Human Capital ◽  
Regression Analysis ◽  
Federal District ◽  
Education Level ◽  
Econometric Models ◽  
Federal State ◽  
Siberian Federal District ◽  
Working Population ◽  
Level Of Education ◽  
The Russian Federation

With the use of regression analysis, we calculated the elasticity of labor efficiency by education level of the employed population. The analysis included regional data from the Federal State Statistics Service of Russia. The implemented methodology is based on econometric models of labour productivity in the regions of the Siberian Federal District of Russia. It is shown that the level of education of the working population is a significant factor in determining the productivity of labour in the regions of the Siberian Federal District of Russia.

scholarly journals Does Race Matter? Earnings of Visible Minority Graduates from Alberta Universities

2005 ◽  
Vol 35 (1) ◽  
pp. 85-110
Author(s):  
Katerina Maximova ◽  
Harvey Krahn
Keyword(s):  
Human Capital ◽  
Regression Analysis ◽  
Racial Discrimination ◽  
Visible Minority ◽  
Central Question ◽  
Post Secondary Education ◽  
Post Secondary ◽  
Graduate Survey ◽  
Educational Credentials ◽  
Using Data

Using data from the 1997 Alberta University Graduate Survey, this study compares earnings of visible minority graduates and their non-visible minority counterparts who received degrees in 1994. The central question is whether investments in human capital in the form of Canadian post- secondary education by visible minority members and other graduates yield similar returns in the Canadian labour market. Multiple regression analysis results indicate that earnings of visible minority graduates do not differ significantly from those of other graduates, although several interesting interaction effects are observed. Overall, this study provides no evidence of racial discrimination against visible minority members who obtained their post-secondary educational credentials in Alberta.

scholarly journals Penanganan Endogenitas Modal Sosial Pada Pemodelan Kemiskinan Rumah Tangga di Indonesia Dengan Metode Two Probit Least Square (2PLS)

2019 ◽  
Vol 8 (1) ◽  
pp. 19-26
Author(s):  
Eko Yulian
Keyword(s):  
Social Capital ◽  
Human Capital ◽  
Regression Analysis ◽  
Poverty Alleviation ◽  
Least Square ◽  
Probit Regression ◽  
Variable Size ◽  
Factors Affecting ◽  
Independent Variables ◽  
Independent Variable

Kemiskinan merupakan salah satu permasalahan mendasar yang telah menjadi perhatian utama berbagai negara di dunia termasuk Indonesia. Agar pengentasan kemiskinan berjalan efektif tentunya perlu diketahui dan diukur kuat pengaruh faktor-faktor yang mempengaruhi kemiskinan. Faktor-faktor tersebut diantaranya adalah modal SDM dan modal sosial. Untuk mengukur kontribusi faktor-faktor tersebut digunakan analisis regresi. Variabel bebas pada penelitian ini bersifat kategorik biner (1=miskin, 0=tidak) sehingga analisis regresi yang bisa digunakan adalah analisis regresi logistik dan probit. Penelitian ini menggunakan regresi probit untuk mengetahui pengaruh modal sosial dan modal SDM terhadap kemiskinan. Pada analisis regresi probit, asumsi yang harus dipenuhi adalah tidak adanya korelasi antara variabel bebas dan error pada model, apabila hal tersebut tidak terpenuhi maka akan muncul permasalahan yang disebut dengan endogenitas yang mengakibatkan hasil taksiran parameter yang dihasilkan bias. Pada penelitian ini diperoleh informasi bahwa variabel modal sosial merupakan variabel endogen sehingga digunakan metode Two Probit Least Square (2PLS) untuk mengatasi permasalahan endogenitas yang terjadi. Berdasarkan hasil regresi probit dengan menggunakan metode 2PLS diperoleh tiga variabel bebas yang berpengaruh negatif terhadap peluang rumah tangga menjadi miskin, variabel-variabel tersebut adalah modal sosial, lama sekolah dan umur. Sedangkan variabel ukuran rumah tangga berpengaruh positif terhadap peluang rumah tangga menjadi miskin di Indonesia. [Poverty is one of the fundamental problems. It has been a major concern of governments in various countries around the world, including Indonesia. In order for poverty alleviation to be effective, it is necessary to know and measured strongly the influence of factors affecting poverty. These factors include human capital and social capital. To measure the contribution of these factors is used regression analysis. The independent variables in this study are binary categorical (1=poor, 0=no) so that regression analysis that can be used is logistic and probit regression analysis. This research uses probit regression to know the influence of social capital and human capital to poverty. In the probit regression analysis, the assumption that must be met is the absence of correlation between the independent variable and error in the model, if it is not fulfilled then the problem will arise called endogeneity which can lead to bias parameter. In this study obtained information that social capital variable is an endogenous variable, so Two Probit Least Square (2PLS) method used to overcome the problem of endogeneity that happened. Based on the results of probit regression using 2PLS method obtained three independent variables that negatively affect the probability of households to be poor, these variables are social capital, school, and age. While the variable size of households positively affects the probability of households being poor in Indonesia.]

scholarly journals Features of using human capital in agrarian sector of economy

2021 ◽  
Vol 212 (09) ◽  
pp. 73-79
Author(s):  
Galina Butko ◽  
Ol'ga Saparova
Keyword(s):  
Human Capital ◽  
Regression Analysis ◽  
Rural Areas ◽  
Statistical Data ◽  
Nonlinear Models ◽  
Legal Framework ◽  
The State ◽  
Industrial Complex ◽  
Highly Qualified ◽  
Social Infrastructure

Abstract. The article discusses the influence of human capital on the efficiency of the agro-industrial complex. The purpose of the study is to analyze the use and management of human capital from the standpoint of practice, the development of systems that are used to manage and develop employees of an organization. Results. The article reveals the results of the analysis of the development level of the agro-industrial complex and the state of the social infrastructure of the region as the most important conditions for the formation of human capital, functioning within a particular region. On the basis of theoretical generalizations, the analysis of statistical data, the desired dependencies and the rating of countries according to the human development index were obtained. The state and development of human capital is based on the initial data of Russian agricultural organizations for 2017–2019. As a result of the analysis, two types of models were proposed – linear and nonlinear models; correlation and regression analysis of statistical data was carried out. The main importance is the setting of the prospects for the development of human capital and, on this basis, the possibility of creating and strengthening food self-sufficiency. In the formation of human capital, the topical issue is the qualifications of specialists and its constant growth. The article presents in the most detail the results of processing the theory of statistical information on the example of correlation-regression analysis. Scientific novelty. The results obtained in the process of work have theoretical novelty and practical value, because, first of all, in the context of a pandemic, the formation of the importance of an emphasis on the progressiveness of the regulatory and legal framework and the improvement of stimulating the demand for highly qualified specialists in rural areas has been accomplished. Achieving competitive advantages is possible on the basis of sustainable development as a factor in ensuring economic stability. The structure of the process of using human capital includes progressive elements based on a balance between the increase and depletion of available resources. The results of the study confirmed the significance of the proposed indicators of human capital, however, they refuted the hypothesis of a direct relationship between the number of employees with higher education and the efficiency of the agro-industrial complex.

scholarly journals PENGARUH INTELLECTUAL CAPITAL TERHADAP KINERJA KEUANGAN DAN NILAI PASAR PERUSAHAAN YANG LISTED DI JAKARTA ISLAMIC INDEX

2019 ◽  
Vol 16 (4) ◽  
pp. 529-535
Author(s):  
Halim Usman ◽  
Sri Wahyuni Mustafa
Keyword(s):  
Human Capital ◽  
Regression Analysis ◽  
Data Analysis ◽  
Financial Performance ◽  
Intellectual Capital ◽  
Market Value ◽  
Return On Equity ◽  
Purposive Sampling ◽  
Structural Capital ◽  
Capital Efficiency

This study aims to examine the effect of intellectual capital on financial performance and market value of the company. The intellectual capital variable uses three proxies, namely employed capital efficiency, human capital efficiency and structural capital efficiency, while the company's financial performance variable uses return on equity proxy and market to book ratio to proxy the company's market value. The object of this research is companies included in the Jakarta Islamic Index 2011-2017 period. Sampling is done by purposive sampling. The data analysis used is regression analysis to examine the effect of intellectual capital on financial performance and market value of the company. The results showed that intellectual capital had no effect on financial performance so that it affected the company's market value.   Penelitian ini bertujuan untuk menguji pengaruh intellectual capital terhadap kinerja keuangan dan nilai pasar perusahaan. Variabel intellectual capital menggunakan tiga proksi, yakni capital employed efficiency, human capital efficiency dan structural capital efficiency sedangkan untuk  variabel kinerja keuangan perusahaan menggunakan proksi return on equity dan market to book ratio untuk proksi nilai pasar perusahaan. Objek dari penelitian ini adalah perusahaan yang masuk dalam Jakarta Islamic Index periode 2011-2017. Pengambilan sampel dilakukan dengan purposive sampling. Adapun analisis data yang digunakan adalah analsis regresi untuk menguji pengaruh intellectual capital terhadap kinerja keuangan dan nilai pasar perusahaan. Hasil penelitian menunjukkan bahwa intellectual capital tidak berpengaruh terhadap kinerja keuangan sehingga namun berpengaruh terhadap nilai pasar perusahaan

The Determinants of Information Technology Wages

2012 ◽  
pp. 32-49
Author(s):  
Jing ("Jim") Quan ◽  
Ronald Dattero ◽  
Stuart D. Galup ◽  
Kewal Dhariwal
Keyword(s):  
Human Capital ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Human Capital Theory ◽  
Organization Size ◽  
Capital Theory ◽  
Practical Advice ◽  
Industry Type ◽  
Experience Education ◽  
Managerial Positions

Anchoring this work to the classical human capital theory, the authors examine the effects of various human capital factors on IT professional compensation. Dividing IT salary into LOW (<$75,000) and HIGH (>=$75,000) ranges and using binomial logistic regression analysis, this paper estimates the effects of IT experience, education, IT degrees, IT certifications, and managerial positions on the probabilities of earning low wages in comparison to high wages, while controlling for industry type, organization size and location, gender, and marital status. Results indicate that the most important factors associated with high salaries are managerial positions, IT experience, education, and organization size. Practical advice is given on how IT professionals can employ these results to increase their compensation.

Regional Competitiveness

2022 ◽  
pp. 150-170
Author(s):  
Miloš S. Krstić ◽  
Vladimir Radivojević
Keyword(s):  
Human Capital ◽  
Regression Analysis ◽  
Data Analysis ◽  
Comparative Analysis ◽  
Trade Openness ◽  
Statistical Processing ◽  
European Countries ◽  
Regional Competitiveness ◽  
Correlation And Regression Analysis ◽  
The Impact

The aim of the chapter was to model the impact of selected determinants (trade openness, human capital, entrepreneurship, and innovation) on regional competitiveness, as well as to propose future activities and measures required to be implemented to improve the competitive performance of the regions. The research was conducted on the sample of 18 regions in six European countries: Serbia, Croatia, Slovenia, Northern Macedonia, Montenegro, and Romania. The database was prepared, and the statistical processing was performed in SPSS. In this data analysis, the following methods were used: comparative analysis, correlation, and regression analysis. The results of the research showed that the impact of the determinants—import dependence, the number of pupils enrolled in secondary education, gross domestic expenditure on research and development, and the number of companies per 10,000 inhabitants on the competitiveness of the region—are (statistically) significant.

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