scholarly journals Social capital and the shadow economy: a Bayesian analysis of the BRICS

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tien Ha My Duong ◽  
Thi Anh Nhu Nguyen ◽  
Van Diep Nguyen
Keyword(s):  
Social Capital ◽  
Linear Regression ◽  
Shadow Economy ◽  
Regression Method ◽  
Linear Regression Method ◽  
Content Type ◽  
Brics Countries ◽  
Bayesian Linear Regression ◽  
The Impact ◽  
The Relationship

PurposeThe paper aims to examine the impact of social capital on the size of the shadow economy in the BIRCS countries over the period 1995–2014.Design/methodology/approachThe authors employ the Bayesian linear regression method to uncover the relationship between social capital and the shadow economy. The method applies a normal distribution for the prior probability distribution while the posterior distribution is determined using the Markov chain Monte Carlo technique.FindingsThe results indicate that the unemployment rate and tax burden positively affect the size of the shadow economy. By contrast, corruption control and trade openness are negatively associated with the development of this informal sector. Moreover, the paper's primary finding is that social capital represented by social trust and tax morale can hinder the size of the shadow economy.Research limitations/implicationsThis study is limited to the case of the BRICS countries for the period 1995–2014. The determinants of the shadow economy in different groups of countries can be heterogeneous. Moreover, social capital is a multidimensional concept that may consist of various components. This difficulty of measuring the social capital calls for further research on the relationship between other dimensions of social capital and the shadow economy.Originality/valueMany studies investigate the effect of economic factors on the size of the shadow economy. This paper applies a new approach to discover the issue. Notably, the authors use the Bayesian linear regression method to analyze the relationship between social capital and the shadow economy in the BRICS countries.

scholarly journals PENGARUH KOMPETENSI TERHADAP KINERJA KARYAWAN PADA PT. BANK DANAMON INDONESIA, TBK CABANG SIMPANG PASAR BAWAH

2019 ◽  
Vol 10 (3) ◽  
pp. 339-349
Author(s):  
Nana Dianita
Keyword(s):  
Performance Analysis ◽  
Linear Regression ◽  
Regression Method ◽  
Linear Regression Method ◽  
Linear Regression Equation ◽  
Simple Linear Regression ◽  
Independent Variables ◽  
Close Relationship ◽  
And Performance ◽  
The Relationship

The purpose of this study was to determine the effect of competence on the performance of employees at PT. Bank Danamon Indonesia, Tbk Cabang Simpang Pasar Bawah. The sample in this study were all employees at PT. Bank Danamon Indonesia, Tbk Cabang Simpang Pasar Bawah totaling 34 people. While the variables studied in this research is the competence and performance. Analysis of data using simple linear regression method using validity, reliability, R2 and t test. The tests are conducted to determine the relationship between the independent variables (independent variables) and dependent variable (dependent variable). Based on research results the effect of competence on the performance of employees with correlation value R = 0,656 which indicates a close relationship between the effect of competence on the performance of employees at PT. Bank Danamon Indonesia, Tbk Cabang Simpang Pasar Bawah. While the R-square at 0,430 which can competence has contributed of 43% to the performance of employees at . Bank Danamon Indonesia, Tbk Cabang Simpang Pasar Bawah. Partially acquired competence variable positive and significant effect on the performance employees at . Bank Danamon Indonesia, Tbk Cabang Simpang Pasar Bawah with simple linear regression equation as follows: Y = 18,342 + 0,627X significantly smaller 0,000 than alpha 0,05. The conclusion of this study that partial hypothesis between variables competence on performance employees is proven and can be accepted as true

scholarly journals Predict the amount of Cu using the four Ca, Al, P, S Elements by Multiple Linear Regression Method

2021 ◽  
Vol 9 (9) ◽  
pp. 1088-1092
Author(s):  
Hamed Nazerian
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Regression Method ◽  
Multivariate Linear Regression ◽  
Linear Regression Method ◽  
Multiple Linear Regression Method ◽  
Spss Software ◽  
Exploration Area ◽  
The Relationship ◽  
South Khorasan

Abstract: The study area is located in Sarbisheh city in South Khorasan province, Iran. Copper estimation was performed by multivariate linear regression method to facilitate the use of previous analyses to predict this element in other areas, reduce costs and also reduce the number of samples. For this purpose, by obtaining a basic formula from estimating the amount of Cu with one of the promising points samples, the amount of copper in other parts of the exploration area was investigated. Several analyses were taken from the exploratory area after calculations to validate the regression. The regression results of new and old data were compared and estimation acceptable. These calculations were performed by SPSS software, according to the four elements Ca, Al, P, S, the results obtained and the relationship presented has acceptable validity. Keywords: Multivariate linear regression, Cu estimation, SPSS, Iran.

The Influence of Competence with the Elements of Knowledge, Understanding, Ability/Skills, Values, Attitudes and Interest on Employee Performance at the Tanjung Perak Port Authority Office in Surabaya

2021 ◽  
Vol 9 (3) ◽  
pp. 225-234
Author(s):  
Beni Agus Setiono ◽  
Tri Andjarwati ◽  
Kunto Eko Susilo ◽  
Endah Budiarti ◽  
Pramita Studiviany Soemadijo
Keyword(s):  
Linear Regression ◽  
Sampling Method ◽  
Employee Performance ◽  
Sampling Technique ◽  
Regression Method ◽  
Linear Regression Method ◽  
Simple Linear Regression ◽  
Literature Study ◽  
Port Authority ◽  
The Relationship

The purpose of this study was to test and analyze the influence of competence with elements of knowledge, understanding, abilities/skills, values, attitudes and interests on employee performance at the Tanjung Perak Port Authority Office, Surabaya. This type of research is an associative study that explains the relationship and influence between competency variables on employee performance. The population in this study amounted to 90 people. The sampling technique used the saturated sampling method. Methods of data collection by interview, literature study, observation and questionnaires. The data were analyzed by using the Simple Linear Regression method. This study concluded that competence with indicators of knowledge, understanding, abilities/skills, values, attitudes and interests has a significant effect on improving employee performance at the Tanjung Perak Main Port Authority Office.

scholarly journals Non-employee individual taxpayer compliance

2018 ◽  
Vol 3 (1) ◽  
pp. 112-122
Author(s):  
Aqmarina Vaharani Paramaduhita ◽  
Elia Mustikasari
Keyword(s):  
Law Enforcement ◽  
Linear Regression ◽  
Design Methodology ◽  
Regression Method ◽  
Primary Data ◽  
Linear Regression Method ◽  
Content Type ◽  
Independent Variables ◽  
Multiple Linear Regression Method ◽  
Positive Effect

Purpose The purpose of this paper is to determine what factors may affect taxpayer (TP) compliance. Design/methodology/approach This research uses five independent variables such as income, TP’s perception on tax penalties, law and enforcement, fair tax treatment and the use of tax money in a transparent and accountable way. The dependent variable is the compliance of individual TPs non-employees. The data used are primary data obtained from questionnaires on KPP Surabaya Rungkut and processed using a multiple linear regression method with SPSS 21.0 Software for Windows. Findings The results show that partially income does not affect the compliance of individual TP non-employees; however, four other independent variables on the TP’s perception of penalties, law enforcement, tax treatment and the use of tax money simultaneously had a positive effect. Originality/value All independent variables had a positive effect on compliance by individual TP non-employees on KPP Surabaya Rungkut.

scholarly journals Quantifying the Impact of Linear Regression Model in Deriving Bio-Optical Relationships: The Implications on Ocean Carbon Estimations

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 3032 ◽  
Author(s):  
Bellacicco ◽  
Vellucci ◽  
Scardi ◽  
Barbieux ◽  
Marullo ◽  
...  
Keyword(s):  
Linear Regression ◽  
Regression Method ◽  
Linear Regression Method ◽  
Type I ◽  
Ocean Colour ◽  
Data Set ◽  
Argo Floats ◽  
In Situ Data ◽  
Carbon Biomass ◽  
The Impact

Linear regression is widely used in applied sciences and, in particular, in satellite optical oceanography, to relate dependent to independent variables. It is often adopted to establish empirical algorithms based on a finite set of measurements, which are later applied to observations on a larger scale from platforms such as autonomous profiling floats equipped with optical instruments (e.g., Biogeochemical Argo floats; BGC-Argo floats) and satellite ocean colour sensors (e.g., SeaWiFS, VIIRS, OLCI). However, different methods can be applied to a given pair of variables to determine the coefficients of the linear equation fitting the data, which are therefore not unique. In this work, we quantify the impact of the choice of “regression method” (i.e., either type-I or type-II) to derive bio-optical relationships, both from theoretical perspectives and by using specific examples. We have applied usual regression methods to an in situ data set of particulate organic carbon (POC), total chlorophyll-a (TChla), optical particulate backscattering coefficient (bbp), and 19 years of monthly TChla and bbp ocean colour data. Results of the regression analysis have been used to calculate phytoplankton carbon biomass (Cphyto) and POC from: i) BGC-Argo float observations; ii) oceanographic cruises, and iii) satellite data. These applications enable highlighting the differences in Cphyto and POC estimates relative to the choice of the method. An analysis of the statistical properties of the dataset and a detailed description of the hypothesis of the work drive the selection of the linear regression method

scholarly journals Religiosity and Halal Certification: Its Effect on Interest in Buying Traditional Food

2022 ◽  
Vol 6 (2) ◽  
pp. 79
Author(s):  
Najmudin Najmudin ◽  
Syihabudin Syihabudin
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Research Method ◽  
Quantitative Methods ◽  
Regression Method ◽  
Linear Regression Method ◽  
Traditional Food ◽  
Questionnaire Data ◽  
Multiple Linear Regression Method ◽  
The Impact

This study aims to determine (1)—the influence of religiosity on the interest in buying traditional food of sate bandeng. (2). The effect of halal certification on the interest in buying traditional food of sate bandeng. And (3). The impact of religiosity and halal certification on interest in buying traditional food of sate bandeng. This research is the millennial consumers of traditional food of Sate Bandeng Kang Cepi Kaujon, Serang City, Banten Province. The research method used is quantitative. Methods of data collection using a questionnaire. Data were processed using SPSS version 23 software. Data analysis used the multiple linear regression method. The results of this study indicate that (1). Religiosity affects an interest in buying traditional food of Sate Bandeng. (2). Halal certification affects an interest in buying traditional food of sate bandeng (3). Religiosity and halal certification have a positive and significant impact on interest in buying traditional food of Sate Bandeng. Consumers’ interest in buying traditional food of Sate Bandeng is influenced by religiosity and halal certification as much as 48.8 percent. In comparison, the remaining 51.2 percent is influenced by other variables not examined in this study.

scholarly journals Does innovation make a difference?

2018 ◽  
Vol 15 (2) ◽  
pp. 137-154 ◽  
Author(s):  
Renata Vasconcelos ◽  
Marcos Oliveria
Keyword(s):  
Firm Performance ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Metropolitan Area ◽  
Design Methodology ◽  
Small Enterprises ◽  
Content Type ◽  
Micro And Small Enterprises ◽  
The Impact ◽  
The Relationship

Purpose This paper aims to identify and measure the impact of the types of innovation on micro and small enterprises’ performance in the foodservice industry. Design/methodology/approach A sample of 55 micro and small enterprises located in the Recife Metropolitan Area in Pernambuco were considered for the purpose of the analysis. All the firms were registered in the Agente Local de Inovação (ALI) program during the period of 2015 and 2016. The innovations developed by the firms were identified and measured using the sectorial innovation index, and the firm’s performance was calculated by the annual revenue. The impact of the innovations on performance was measured using multiple linear regression and quantile regression. Findings The regressions’ findings suggest that two innovation dimensions stand out concerning firm performance, that is, brand and customer experience are thought as to contribute to firm performance significantly. However, it has also been found that the contribution of the innovations may vary in the level of firm performance. Originality/value The paper was distinguished by analyzing the relationship between innovation and firm performance in the context of micro and small enterprises. The research also allowed knowing the innovations that can contribute to the micro and small enterprises’ performance, allowing such organizations to identify and develop the innovations seen as necessary for their competitiveness.

Social capital and organizational ambidexterity: the moderating effect of absorptive capacity

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Younggeun Lee ◽  
Andres Felipe Cortes ◽  
Yiming Zhuang ◽  
Pol Herrmann
Keyword(s):  
Social Capital ◽  
Absorptive Capacity ◽  
Emerging Economies ◽  
Organizational Ambidexterity ◽  
Content Type ◽  
Knowledge Based ◽  
External Actors ◽  
Different Cultures ◽  
The Impact ◽  
The Relationship

PurposeThe purpose of this paper is to examine the impact of social capital on organizational ambidexterity in the context of emerging economies. Moreover, this paper aims to study the moderating influence of absorptive capacity on the relationship between social capital and organizational ambidexterity.Design/methodology/approachThe authors conducted two studies using survey data collected from 97 Ecuadorian and 100 Chinese small and medium-sized enterprises (SMEs).FindingsThe authors found that social capital, the extent to which organizational members interact, collaborate and share knowledge with one another and with external actors, has a positive effect on the simultaneous implementation of exploratory and exploitative innovations (i.e. organizational ambidexterity). Moreover, the authors found that absorptive capacity positively strengthens the impact of social capital on organizational ambidexterity.Originality/valueDrawing on the knowledge-based view and the innovation literature, the authors theoretically argue the importance of social capital and absorptive capacity for SMEs to develop and manage exploratory and exploitative innovations simultaneously in emerging economies of different cultures. The authors empirically test proposed hypotheses in Ecuador and China, two emerging markets with important cultural differences, and show the relevance of social capital in multiple settings.

Linking knowledge sharing to innovative behavior: the moderating role of collectivism

2019 ◽  
Vol 23 (8) ◽  
pp. 1652-1672 ◽  
Author(s):  
Qian Ya Pian ◽  
Hui Jin ◽  
Hui Li
Keyword(s):  
Linear Regression ◽  
Knowledge Sharing ◽  
Linear Regression Analysis ◽  
Social Motivation ◽  
Innovative Behavior ◽  
Moderating Effects ◽  
Content Type ◽  
Epistemic Motivation ◽  
The Impact ◽  
The Relationship

Purpose The purpose of this study is to examine the relationship between behavior-oriented knowledge sharing and innovative behavior and the moderating effects of collectivism on the aforementioned relationship. It also assesses the impact of epistemic motivation and pro-social motivation on behavior-oriented knowledge sharing. Design/methodology/approach Focusing on Chinese context, the study conducts a questionnaire survey to test the research model. Linear regression analysis is used to examine the main effects of the independent variables, and the multi-level linear regression model is used to evaluate the moderating effects of the controlled variables. Findings The findings reveal that epistemic motivation stimulates individual-oriented knowledge sharing and pro-social motivation stimulates organization-oriented knowledge sharing. Organization-oriented knowledge sharing impacts more than individual-oriented knowledge sharing on innovative behavior. Moreover, collectivism is shown to positively moderate the relationship between behavior-oriented knowledge sharing and innovative behavior. Practical implications The study provides evidence that motivation should be significantly considered when sharing knowledge. Managers should prioritize the promotion of employees’ epistemic and pro-social motivation. The study also suggests that encouraging collectivism should be an important objective, as it moderates the relationship between knowledge sharing and innovative behavior positively. Originality/value The study emphasized how individual-oriented and organization-oriented knowledge sharing impacts innovative behavior differently and how collectivism moderates that relationship. It also illustrates how epistemic and pro-social motivation affects behavior-oriented knowledge sharing. The study contributes to a stream of research that links knowledge sharing and innovative behavior.

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