scholarly journals The Impact of School Culture, Technology Leadership, and Support Services on Teachers’ Technology Integration: A Structural Equation Modeling

2016 ◽  
Vol 41 (188) ◽  
Author(s):  
Hasan Gürfidan ◽  
Mustafa Koç
Keyword(s):  
Structural Equation Modeling ◽  
Technology Integration ◽  
School Culture ◽  
Support Services ◽  
Structural Equation ◽  
Technology Leadership ◽  
Equation Modeling ◽  
The Impact ◽  
Culture Technology

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 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.

scholarly journals The Impact of Attitudes towards Healthcare Service Quality on Organisational Performance: Evidence from the Saudi Arabia

2017 ◽  
Vol 5 (1) ◽  
pp. 1 ◽  
Author(s):  
Yaser Salman Alsharar ◽  
Fadzil Shah bin Aziz ◽  
Che Azlan Bin Taib ◽  
Rushami Zien Yusoff
Keyword(s):  
Saudi Arabia ◽  
Structural Equation Modeling ◽  
Data Analysis ◽  
Service Quality ◽  
Structural Equation ◽  
Healthcare Service ◽  
Equation Modeling ◽  
Organisational Performance ◽  
Government Hospitals ◽  
The Impact

This research aims to investigate the effect of attitudes towards healthcare service quality on organisational performance among Saudi Arabian hospitals. The sample size comprises of 154 hospitals randomly chosen from 259 government hospitals in Saudi Arabia. For data analysis, the Partial Least Squares (PLS) structural equation modeling was used. In addition, this study found a positive and significant association between attitudes towards healthcare service quality and organisational performance. Eventually, this study provides some limitations and suggestions for future researchers.

scholarly journals Psychological Mechanisms Linking County-Level Income Inequality to Happiness in China

2018 ◽  
Vol 15 (12) ◽  
pp. 2667
Author(s):  
Jiaoli Cai ◽  
Li Zhang ◽  
Yulin Zhao ◽  
Peter Coyte
Keyword(s):  
Structural Equation Modeling ◽  
Income Inequality ◽  
Structural Equation ◽  
General Social Survey ◽  
Negative Relationship ◽  
Living Standards ◽  
Equation Modeling ◽  
County Level ◽  
Psychological Mechanisms ◽  
The Impact

Background In China, income levels and living standards have improved significantly, but many Chinese citizens still do not feel any happier. This phenomenon may be attributed to increased income inequality. Methods Using data from the 2013 Chinese General Social Survey (CGSS), we employed multilevel structural equation modeling (MSEM) to investigate the impact of county-level income inequality on individual-level happiness in China and multilevel mediation analysis with structural equation modeling (MMSEM) to explore the mechanisms through which income inequality impacted happiness. Results A negative relationship between income inequality and happiness was found. The negative association between them was explained by two psychological mechanisms, i.e., fairness and trust. The findings explained a “Chinese puzzle,” i.e., why people do not feel happier despite improved income and living standards. Conclusions Our findings may provide a reference for policy makers to implement policies designed to improve individual happiness. What is important now is to reduce income inequality, and to potentially improve perceptions of fairness and trust in China.

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