scholarly journals Analysis of determinants of the inflow of foreign direct investment to Poland. Part II – research results

Management ◽  
2020 ◽  
Vol 24 (1) ◽  
pp. 157-175
Author(s):  
Joanna Wyrwa
Keyword(s):  
Foreign Direct Investment ◽  
Structural Equation Modeling ◽  
Direct Investment ◽  
Structural Equation ◽  
Equation Modeling ◽  
Exogenous Variables ◽  
Effect Relationship ◽  
Research Concept ◽  
Main Determinants ◽  
Fdi Determinants

SummaryThis study contains an analysis of the main determinants of the inflow of foreign direct investment to Poland. This article is devoted to the analysis of the main motives determining the inflow of foreign direct investment to Poland. It is the second part of the series and presents the scale and dynamics of FDI inflow to Poland between 2010 and 2018, as well as the results of own research carried out using structural equation modeling. This study focused on determining the cause-and-effect relationship between the scale of inflow of foreign direct investment and selected macroeconomic parameters of the economy. Based on the theories and results from previous research, a model was developed in which the variables and the nature of their relationship were determined. The model is based on four latent exogenous variables describing FDI determinants and one latent endogenous variable describing FDI inflow. In the article, structural equation modeling was indicated as a method for analyzing the factors conditioning the inflow of foreign direct investment. The proposed research concept will allow supplementing and extending the analysis of FDI determinants in Poland.

scholarly journals Analysis of determinants of the inflow of foreign direct investment to Poland. Part I – theoretical considerations

Management ◽  
2019 ◽  
Vol 23 (2) ◽  
pp. 238-262
Author(s):  
Joanna Wyrwa
Keyword(s):  
Foreign Direct Investment ◽  
Structural Equation Modeling ◽  
Direct Investment ◽  
Structural Equation ◽  
Equation Modeling ◽  
Exogenous Variables ◽  
Research Concept ◽  
Main Determinants ◽  
Fdi Determinants ◽  
Theoretical Considerations

Summary This study contains an analysis of the main determinants of the inflow of foreign direct investment to Poland. This article is the first of the two parts of the cycle and covers theoretical considerations regarding the determinants of foreign direct investment, serving as the introduction to the second, empirical part, in which the research results will be discussed. This study focused on determining the cause-and-effect relationship between the scale of inflow of foreign direct investment and selected macroeconomic parameters of the economy. Based on the theories and results from previous research, a model was developed in which the variables and the nature of their relationship were determined. The model is based on four latent exogenous variables describing FDI determinants and one latent endogenous variable describing FDI inflow. In the article, structural equation modeling was indicated as a method for analyzing the factors conditioning the inflow of foreign direct investment. The proposed research concept will allow supplementing and extending the analysis of FDI determinants in Poland.

scholarly journals The Effect of Training and Ability on the Performance of Employee at Disaster Management Bureau of Central Kalimantan Province

2017 ◽  
Vol 8 (3) ◽  
pp. 87-90
Author(s):  
Keyword(s):  
Structural Equation Modeling ◽  
Human Resource ◽  
Disaster Management ◽  
Structural Equation ◽  
Equation Modeling ◽  
Exogenous Variables ◽  
Central Kalimantan ◽  
Endogenous Variables ◽  
The Relationship ◽  
Positive Effect

Abstract This study aims to examine and determine the effect of training and ability on the performance of employee at Disaster Management Bureau of Central Kalimantan Province. The results of this study are expected to contribute to the discourse of science in the field of human resource management. This is an explanatory research which explains the relationship between exogenous variables and endogenous variables. It took 34 employees as the sample by implementing saturated sampling as the method. The data were analyzed with Structural Equation Modeling (SEM) using PLS software. The results showed training and ability have direct and positive effect on the performance of employee at Disaster Management Bureau of Central Kalimantan Province.

scholarly journals Restructuring State Intervention Strategies towards Chickpea Production Development in India—Application of Structural Equation Modeling (SEM)

2021 ◽  
Vol 13 (18) ◽  
pp. 10283
Author(s):  
K. Nirmal Ravi Kumar ◽  
Srinivasa Konduru ◽  
P. Chandrasekhara ◽  
Suresh Chandra Babu
Keyword(s):  
Structural Equation Modeling ◽  
Latent Variables ◽  
Convergent Validity ◽  
Structural Equation ◽  
State Intervention ◽  
Endogenous Variable ◽  
Equation Modeling ◽  
Infrastructure Development ◽  
Exogenous Variables ◽  
Production Development

Structural equation modeling (SEM) was employed to analyze the influence of exogenous variables (research and extension (RE), marketing aspects (MA), and infrastructure development (ID)) on the endogenous variable chickpea production development (CPD) to restructure policy interventions in India. Results of the measurement model revealed that all the latent variables have construct validity (both convergent validity and discriminant validity) and composite reliability. Confirmatory factor analysis revealed that all indicators of both exogenous and endogenous variables are significant. Yield-increasing production technologies (PT), minimum support prices (MSP), and storage structures (SS) and the three exogenous variables (research and extension, marketing, and infrastructure development) are the strongest indicators. For the endogenous variable CPD, remunerative prices (RP) is the strongest indicator and also serves as a driving force for other indicators. The results of the structural model revealed that RE is the most effective construct followed by ID and MA, and they cumulatively explained 89 percent of the total variation in CPD. Among these three constructs, MSP is the key indicator of MA with the highest loading factor (0.799), and hence it should be given the highest priority for promoting CPD in India.

scholarly journals Healthcare Solutions for Children Who Stutter Through the Structural Equation Modeling and Predictive Modeling by Utilizing Historical Data of Stuttering

SAGE Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 215824402110581
Author(s):  
Shaikh Abdul Waheed ◽  
P. Sheik Abdul Khader
Keyword(s):  
Structural Equation Modeling ◽  
Predictive Modeling ◽  
Prediction Accuracy ◽  
Structural Equation ◽  
Historical Data ◽  
Predictive Analytics ◽  
Equation Modeling ◽  
Optimal Prediction ◽  
Effect Relationship ◽  
Cause And Effect

Earlier studies established the role of demographic and temperamental features (DTFs) in the adaptation of childhood stuttering. However, these studies have been short on examining the latent interrelationships among DTFs and not utilizing them in predicting this disorder. This research article endeavors to examine latent interrelationships among DTFs in relation to childhood-stuttering. The purpose of the present is also to analyze whether DTFs can be utilized in predicting the likely risk of this speech disorder. Historical data on childhood stuttering was utilized for performing the invloved experiments of this research. “Structural-Equation-Modeling” (SEM) was applied to examine latent interrelationships among DTFs in relation to stuttering. The predictive analytics approach was employed to ensure whether DTFs of children can be utilized for predicting the likely risk of childhood-stuttering. SEM-based path analysis explored potential latent interrelationships among DTFs by separating them into categories of background and intermediate. By utilizing the same set of the DTFs, predictive models were able to classify children into stuttering and non-stuttering groups with optimal prediction accuracy. The outcomes of this study showed how the stuttering related historical data can be utilized in offering healthcare solutions for individuals with stuttering disorder. The outcomes of the present study also suggest that historical data on stuttering is a very rich source of hidden trends and patterns concerning this disorder. These hidden trends and patterns can be captured by applying a different type of structural and predictive modeling to understand the cause-and-effect relationship among variables in relation to stuttering. The SEM utilizes the cause-and-effect relationship among variables to explore latent-interrelationships between them. While predictive modeling utilizes the cause-and-effect relationship among variables to predict the possible risk of stuttering with optimal prediction accuracy.

Impact of motives of inward FDI on benefits perceived by foreign multinational enterprises investing in India

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Nawal Kishor ◽  
◽  
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Structural Equation ◽  
Multinational Enterprises ◽  
Multinational Firms ◽  
Positive Impact ◽  
Equation Modeling ◽  
Confirmatory Factor ◽  
Inward Foreign Direct Investment ◽  
The Impact

The study aims to determine the principal motives of inward foreign direct investment by foreign multinational companies in India. The study undertakes to find out the impact of motives of inward foreign investment of multinational firms on benefits as perceived by the managers.  The paper uses a survey approach to collect data about motives and its impact on benefits. Statistical tools, namely confirmatory factor analysis, structural equation modeling have been used. The study found that principal motive for foreign multinational firms to undertake investment is market-seeking followed by resource-seeking and efficiency-seeking motive. The strategic-asset seeking motive does not significantly influence foreign direct investment in India. The study found a positive impact between perceived benefits and motives of inward foreign direct investment in India.

ANALISIS PENGARUH PERSEPSI OUTLET TERHADAP KREDIBILITAS TENAGA PENJUAL DALAM MENINGKATKAN LOYALITAS OUTLET (Studi Pada Distributor PT. Antar Mitra Sembada Bekasi)

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Iwan Kurniawan Subagja
Keyword(s):  
Structural Equation Modeling ◽  
Relationship Quality ◽  
Structural Equation ◽  
Equation Modeling ◽  
Effect Relationship

The purpose of this research is to test the influences of salesman characteristic and relationship quality of salesman on outlet trust perception of salesman to increase outlet loyalty. Using these variables, the usage of these variables are able to solve the arising problem within PT. Antar Mitra Sembada Bekasi. The samples size of this research is 100 outlets PT. Antar Mitra Sembada Bekasi. Using the Structural Equation Modeling (SEM). The results show that the salesman characteristic and relationship quality of salesman on outlet trust perception of salesman to increase outlet loyalty. The effect of salesman characteristic on outlet trust perception of salesman are 0,26; The effect relationship quality of salesman on outlet trust perception of salesman are 0,38; and The effect outlet trust perception of salesman on outlet loyalty are 0,43.

Testing the Assumption of Uncorrelated Errors for Short Scales by Means of Structural Equation Modeling

2014 ◽  
Vol 35 (4) ◽  
pp. 201-211 ◽  
Author(s):  
André Beauducel ◽  
Anja Leue
Keyword(s):  
Structural Equation Modeling ◽  
Negative Correlation ◽  
Structural Equation ◽  
Error Score ◽  
Classical Test Theory ◽  
Test Theory ◽  
Equation Modeling ◽  
Eysenck Personality Questionnaire ◽  
Personality Questionnaire ◽  
True Score

It is shown that a minimal assumption should be added to the assumptions of Classical Test Theory (CTT) in order to have positive inter-item correlations, which are regarded as a basis for the aggregation of items. Moreover, it is shown that the assumption of zero correlations between the error score estimates is substantially violated in the population of individuals when the number of items is small. Instead, a negative correlation between error score estimates occurs. The reason for the negative correlation is that the error score estimates for different items of a scale are based on insufficient true score estimates when the number of items is small. A test of the assumption of uncorrelated error score estimates by means of structural equation modeling (SEM) is proposed that takes this effect into account. The SEM-based procedure is demonstrated by means of empirical examples based on the Edinburgh Handedness Inventory and the Eysenck Personality Questionnaire-Revised.

The Measurement Invariance of the Short Dark Triad

2020 ◽  
Vol 41 (4) ◽  
pp. 207-218
Author(s):  
Mihaela Grigoraș ◽  
Andreea Butucescu ◽  
Amalia Miulescu ◽  
Cristian Opariuc-Dan ◽  
Dragoș Iliescu
Keyword(s):  
Structural Equation Modeling ◽  
Item Response ◽  
Structural Equation ◽  
Dark Triad ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Scale Level ◽  
High Stake ◽  
Differential Functioning ◽  
Item Functioning

Abstract. Given the fact that most of the dark personality measures are developed based on data collected in low-stake settings, the present study addresses the appropriateness of their use in high-stake contexts. Specifically, we examined item- and scale-level differential functioning of the Short Dark Triad (SD3; Paulhus & Jones, 2011 ) measure across testing contexts. The Short Dark Triad was administered to applicant ( N = 457) and non-applicant ( N = 592) samples. Item- and scale-level invariances were tested using an Item Response Theory (IRT)-based approach and a Structural Equation Modeling (SEM) approach, respectively. Results show that more than half of the SD3 items were flagged for Differential Item Functioning (DIF), and Exploratory Structural Equation Modeling (ESEM) results supported configural, but not metric invariance. Implications for theory and practice are discussed.

Childhood Intelligence Predicts Adult Trait Openness

2016 ◽  
Vol 37 (2) ◽  
pp. 105-111 ◽  
Author(s):  
Adrian Furnham ◽  
Helen Cheng
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Social Background ◽  
Study Data ◽  
Equation Modeling ◽  
Direct Effects ◽  
Data Set ◽  
National Child Development Study ◽  
Nationally Representative ◽  
The Uk

Abstract. This study used a longitudinal data set of 5,672 adults followed for 50 years to determine the factors that influence adult trait Openness-to-Experience. In a large, nationally representative sample in the UK (the National Child Development Study), data were collected at birth, in childhood (age 11), adolescence (age 16), and adulthood (ages 33, 42, and 50) to examine the effects of family social background, childhood intelligence, school motivation during adolescence, education, and occupation on the personality trait Openness assessed at age 50 years. Structural equation modeling showed that parental social status, childhood intelligence, school motivation, education, and occupation all had modest, but direct, effects on trait Openness, among which childhood intelligence was the strongest predictor. Gender was not significantly associated with trait Openness. Limitations and implications of the study are discussed.

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