scholarly journals Assessment of the impact of bank lending on business entities’ performance using structural equation modeling

2021 ◽  
Vol 16 (2) ◽  
pp. 68-77
Author(s):  
Dinara Kerimkulova ◽  
Minara Nazekova ◽  
Aizada Sovetbekova ◽  
Oleksii Muravskyi ◽  
Galyna Krasovska
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Statistical Significance ◽  
Software Tool ◽  
Bank Lending ◽  
Equation Modeling ◽  
Real Sector ◽  
The Real ◽  
Business Entities ◽  
The Impact

The paper aims to assess the influence of bank lending on the performance of enterprises in the real sector. The relevance of the study for different countries, including Kazakhstan, Kyrgyzstan and Ukraine, is shown. Structural equation modeling of the impact of bank lending on the performance of enterprises in the real sector is carried out using Ukraine as an example. Six key indicators of real sector enterprises’ performance for the period of 2007–2019 were selected as an information basis of the study. To assess the abovementioned impact, structural equation modeling was used, i.e., the Statistica program was selected as a software tool to evaluate the resulting model’s adequacy and determine the level of statistical significance of its parameters. The obtained results prove that the business lending sector in Ukraine has significant potential for its development, which ultimately will have a positive effect on the efficiency of the real sector enterprises. Moreover, adopting a balanced state policy in the sector of corporate bank lending can give impetus to the development of the domestic sector of real production and help Ukrainian enterprises overcome the crisis caused by COVID-19.

International Real Estate Review

2007 ◽  
Vol 10 (1) ◽  
pp. 1-25
Author(s):  
Elizabeth Hemphill ◽  
Keyword(s):  
Structural Equation Modeling ◽  
Real Estate ◽  
Structural Equation ◽  
Equation Modeling ◽  
Process Step ◽  
The Real ◽  
The Real Estate ◽  
Estate Property ◽  
Modeling Data

This paper explores agent sales presentations in the real estate property listing process using structural equation modeling. Data were collected from both vendors and agents to identify important agent attributes in both successful and unsuccessful presentation attempts. The research found that agents consider really hearing the vendor, getting along with the vendor and getting to know the vendor as key elements of a listing attempt, whilst vendors suggest the path to listing is through negotiation, that some level of negotiation must take place. Research should now examine the influence of time in this critical listing process step with reference to both agent and vendor perspectives using metrics other than perceptions of vendor satisfaction.

Should I suggest this YouTube clip? The impact of UGC source credibility on eWOM and purchase intention

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mazzini Muda ◽  
Muhammad Iskandar Hamzah
Keyword(s):  
Social Media ◽  
Structural Equation Modeling ◽  
Purchase Intention ◽  
Structural Equation ◽  
Word Of Mouth ◽  
Source Credibility ◽  
Equation Modeling ◽  
Content Type ◽  
The Social ◽  
The Impact

PurposeIn spite of the increasing organic and interactive marketing activities over social media, a general understanding of the source credibility of voluntary user-generated content (UGC) is still limited. In line with the social identity theory, this paper examines the effects of consumers' perceived source credibility of UGC in YouTube videos on their attitudes and behavioral intentions. Additionally, source homophily theory is included to predict the antecedent of source credibility.Design/methodology/approachThree hundred and seventy two Generation Y respondents were interviewed using snowball sampling. Data were analyzed with component-based structural equation modeling technique of partial least squares-structural equation modeling (PLS-SEM).FindingsFindings confirmed that perceived source credibility indirectly affects purchase intention (PI) and electronic word-of-mouth via attitude toward UGC. Besides, perceived source credibility mediates the effect of perceived source homophily on attitude toward UGC.Practical implicationsSince today's consumers have begun to trust and rely more on UGC than company-generated content on social media when making purchase decisions, companies may reconsider democratizing certain aspects of their branding strategies. Firms may fine-tune their marketing communication budgets – not only just by sponsoring public figures and celebrities but also by nurturing coproductive engagements with independent content creators who are ordinary consumers. Endowed with their imposing credibility, these micro-influencers and prosumers have high potentials to be uplifted to brand ambassadors.Originality/valueWhile consumers' purchase outcome can be measured easily using metrics and analytics, the roles of source homophily in stages leading up to the purchase is still elusive. Drawing on the rich theoretical basis of source homophily may help researchers to understand not only how credibility and attitude are related to PI but also how this nexus generates positive word of mouth among UGC followers within the social media circles.

scholarly journals Structural Equation Modeling Applied to Socioeconomic Indicators in the Production of Sugarcane, in the State of Goiás

2019 ◽  
Vol 10 (5) ◽  
pp. 53
Author(s):  
Jean Marc Nacife ◽  
Frederico A. Loureiro Soares ◽  
Marconi Batista Teixeira ◽  
Leonardo Nazário S. dos Santos ◽  
Gustavo Castoldi
Keyword(s):  
Structural Equation Modeling ◽  
Production System ◽  
Structural Equation ◽  
Statistical Significance ◽  
Methodological Approach ◽  
Production Costs ◽  
Equation Modeling ◽  
Structural Quality ◽  
Sugarcane Production ◽  
Path Diagram

Agribusiness has played a strategic role for Brazil's development with the challenge of sustainable agriculture. It is proposed to determine, through Structural Equation Modeling (SEM), the validity and effects of the relationships between socioeconomic factors of the sugarcane production system in Quirinópolis, providing subsidies to the decision-making process of agricultural establishments. The research methodological approach was quantitative, applying techniques of normality statistics, hypothesis and multivariate analysis without statistical significance (P <0,05). A path diagram model was developed that presented structural quality adjustment and its validated explanatory equations, obtaining relevant R2. The results demonstrate that the Equation 1 (IBCcane = 0.02Rcane - 0.75ICcane – 0.46ISVO + 0.35ISPS + error) is explained in 73.7% of its variance (R2), in the Equation 2 (ICcane = 0.59ISVO – 0.45ISPS + 0.35SizeEstablis + error) successor vocation affects 42% on production costs and in the Equation 3 (Rcane = -0.40 AgroDistance – 0.16ISPS + error) the distance between farm and agribusiness influences 72% on the proposed revenue mix. The SEM analysis verified that social factors influence the economic factors that compose the sugarcane production system studied. The path diagram proved that the influence track relative to the costs in the proposed model is more representative than revenue for the economic results of rural sugarcane establishments. 

scholarly journals Perilaku Pencarian Variasi: Ditinjau Dari Perspektif Psikologi Dan Imbasnya Pada Loyalitas Kesikapan Konsumen

2008 ◽  
Vol 1 (1) ◽  
Author(s):  
Iin Mayasari
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Hypotheses Testing ◽  
Variety Seeking ◽  
Attitudinal Loyalty ◽  
Optimum Stimulation Level ◽  
Stimulation Level ◽  
Psychology Perspective ◽  
The Impact

This study examines the model that explains the internal aspect as the stimulusi in influencing consumers to do variety seeking. The conceptual model is discussed by applying the psychology perspective of the optimum stimulation level and the impact on attitudinal loyalty. The number of questionnaires is 1100 exemplars and distributed to seven universities in Yogyakarta. However, the appropriate questionnaires to be further analyzed are 654 exemplars. The hypotheses testing uses the structural equation modeling.

scholarly journals INTEGRATING THE IMPACT OF COUNTRY OF ORIGIN (COC) AND CONSUMER ETHNOCENTRISM (CE) ON GLOBAL MARKETING (GM) AND GROWING CONSUMER TRENDS (GCT) EVIDENCES FROM PHARMACEUTICAL INDUSTRIES IN INDONES

2017 ◽  
Vol 11 (1) ◽  
Author(s):  
Kardison Lumban Batu
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Country Of Origin ◽  
Equation Modeling ◽  
Global Marketing ◽  
Consumer Ethnocentrism ◽  
Independent Variables ◽  
Pharmaceutical Industries ◽  
The Impact

The current research is empirically investigated the impact of country of origin and consumer ethnocentrism on growing customer trend directly also through global marketing as mediating variable. It is also assessed the impact of global marketing on growing consumer trend. By deploying Structural Equation Modeling with AMOS, three independent variables were analyzed, country of origin (CoC), global marketing (GM), consumer ethnocentrism (CE) and growing consumer trend (GCT) as dependent variable. The findings showed that both country of origin (CoC) and consumer ethnocentrism (CE) have significant effect on global marketing (GM) as well as on growing consumer trend (GCT). Further, global marketing (GM) successfully mediated and showed significant effect of both country of origin and consumer ethnocentrism. Finally global marketing has significant impact on growing consume trend.

scholarly journals DAMPAK IKLIM ORGANISASI TERHADAP STRES KERJA DAN KINERJA KARYAWAN

2017 ◽  
Vol 20 (1) ◽  
pp. 121 ◽  
Author(s):  
Muhammad Rasyid Abdillah ◽  
Rizqa Anita ◽  
Rita Anugerah
Keyword(s):  
Structural Equation Modeling ◽  
Organizational Climate ◽  
Job Stress ◽  
Structural Equation ◽  
Employee Performance ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Head Office ◽  
The Impact

Penelitian ini bertujuan untuk menguji dampak iklim organisasi terhadap stres kerja dan kinerja karyawan. Data yang digunakan dalam penelitian ini adalah data primer dalam bentuk kuesioner dimana subjek penelitiannya adalah para 45 karyawan PT. Adei Plantation & Industry Head Office Pekanbaru Riau. Pengujian hipotesis menggunakan Structural Equation Modeling Partial Least Square. Hasil penelitian menunjukkan bahwa iklim organisasi berpengaruh terhadap stres kerja dan kinerja karyawan. Selain itu, hasil ini juga menunjukkan bahwa pengaruh iklim organisasi terhadap kinerja karyawan adalah pengaruh tidak langsung melalui stres kerja.This study aims to examine the impact of organizational climate on job stress and employee performance. The data used in this study was primary data in the form of a questionnaire in which the research subjects are 45 employees of PT. Adei Plantation & Industry Head Office Pekanbaru Riau. To test the hypothesis using Structural Equation Modeling Partial Least Square. The result suggest that organizational climate influence on job stress and employee performance. In addition, result also suggest that the effect of organizational climate on employee performance is indirect influence through job stress.

scholarly journals COVID-19 Risk Factors, Economic Factors, and Epidemiological Factors nexus on Economic Impact: Machine Learning and Structural Equation Modelling Approaches

2021 ◽  
pp. 395-405
Author(s):  
David Opeoluwa Oyewola ◽  
Emmanuel Gbenga Dada ◽  
Juliana Ngozi Ndunagu ◽  
Terrang Abubakar Umar ◽  
Akinwunmi S.A
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Structural Equation Modeling ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Modeling ◽  
Support Vector ◽  
Economic Factors ◽  
Negative Effects ◽  
The Impact

Since the declaration of COVID-19 as a global pandemic, it has been transmitted to more than 200 nations of the world. The harmful impact of the pandemic on the economy of nations is far greater than anything suffered in almost a century. The main objective of this paper is to apply Structural Equation Modeling (SEM) and Machine Learning (ML) to determine the relationships among COVID-19 risk factors, epidemiology factors and economic factors. Structural equation modeling is a statistical technique for calculating and evaluating the relationships of manifest and latent variables. It explores the causal relationship between variables and at the same time taking measurement error into account. Bagging (BAG), Boosting (BST), Support Vector Machine (SVM), Decision Tree (DT) and Random Forest (RF) Machine Learning techniques was applied to predict the impact of COVID-19 risk factors. Data from patients who came into contact with coronavirus disease were collected from Kaggle database between 23 January 2020 and 24 June 2020. Results indicate that COVID-19 risk factors have negative effects on epidemiology factors. It also has negative effects on economic factors.

scholarly journals The Impact of Sport Financial Sponsorship on Brand Equity and Performance: Structural Equation Modeling (SEM) Approach

2019 ◽  
Vol 7 (3) ◽  
pp. 0-0
Author(s):  
Mohammad Zarei Mahmoudabadi ◽  
◽  
Mohammad Keshtidar ◽  
Seyed Mohammad Javad Razavi ◽  
◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Brand Equity ◽  
Structural Equation ◽  
Equation Modeling ◽  
And Performance ◽  
The Impact

Leader mindfulness and employee creativity: The importance of leader–member exchange

2021 ◽  
Vol 49 (9) ◽  
pp. 1-9
Author(s):  
Huwa Tan ◽  
Zhou Wang ◽  
Jiaxin Huang
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Leader Member Exchange ◽  
Manufacturing Companies ◽  
Employee Creativity ◽  
High Quality ◽  
Member Exchange ◽  
The Impact

The main objective of this study was to clarify the mechanisms through which leader mindfulness enhances employee creativity, and we proposed that leader–member exchange (LMX) would act as a mediator of this relationship. To test our hypotheses we conducted a survey with 329 subordinates and 51 supervisors employed at three large manufacturing companies in China. The results of structural equation modeling show that the association of leader mindfulness with employee creativity was positive, and that LMX partially mediated this link. This study provides useful insights in explaining the impact that leader mindfulness has on employee creativity by focusing on LMX as a mediator. Our findings indicate that organizations should take leader mindfulness into account, and that managerial interventions should be implemented to establish high-quality LMX relationship.

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