Online Advertising

2018 ◽  
pp. 145-163
Author(s):  
Mehdi Behboudi ◽  
Amir Abedini Koshksaray
Keyword(s):  
Gender Differences ◽  
Structural Equation Modeling ◽  
Theoretical Model ◽  
Latent Variables ◽  
Structural Equation ◽  
Online Advertising ◽  
Equation Modeling ◽  
The Internet ◽  
Negative Experience ◽  
Key Dimensions

This study expands previous models of avoidance on online advertising, in particular, Cho and Cheon's (2004) model, and examines two new dimensions on why people avoid advertising on the Internet. The study presents a comprehensive theoretical model and examines seven exogenous latent variables based on structural equation modeling, SEM. By using SEM, we found that seven latent variables including user-perceived ad quality, internet life style, primary motives, gender differences (initial ad avoidance), perceived ad clutter, prior negative experience, and perceived goal impediment (further ad avoidance) collectively explain why people avoid advertising on the Internet. We found that avoidance has two key dimensions “initial ad avoidance” and “further ad avoidance.”

Online Advertising

2017 ◽  
Vol 8 (4) ◽  
pp. 1-17
Author(s):  
Mehdi Behboudi ◽  
Amir Abedini Koshksaray
Keyword(s):  
Gender Differences ◽  
Theoretical Model ◽  
Latent Variables ◽  
Structural Equation ◽  
Online Advertising ◽  
Equation Modeling ◽  
The Internet ◽  
Negative Experience ◽  
Key Dimensions ◽  
S Model

This study expands previous models of avoidance on online advertising, in particular, Cho and Cheon (2004)'s model, and examines two new dimensions on why people avoid advertising on the Internet. The study presents a comprehensive theoretical model and examines seven exogenous latent variables based on structural equation modeling, SEM. By using SEM the authors found that seven latent variables including user-perceived ad quality, internet life style, primary motives, gender differences (initial ad avoidance), perceived ad clutter, prior negative experience, and perceived goal impediment (further ad avoidance) collectively explain why people avoid advertising on the Internet. The authors found that avoidance has two key dimensions «initial ad avoidance» and «further ad avoidance.”

Meta-Accuracy and Perceived Reciprocity From the Perception-Meta-Perception Social Relations Model

2019 ◽  
Vol 50 (1) ◽  
pp. 24-37
Author(s):  
Ben Porter ◽  
Camilla S. Øverup ◽  
Julie A. Brunson ◽  
Paras D. Mehta
Keyword(s):  
Structural Equation Modeling ◽  
Social Relations ◽  
Latent Variables ◽  
Structural Equation ◽  
Multilevel Structural Equation Modeling ◽  
Equation Modeling ◽  
Complete Understanding ◽  
Social Relations Model ◽  
Flexible Framework ◽  
Multilevel Structural Equation

Abstract. Meta-accuracy and perceptions of reciprocity can be measured by covariances between latent variables in two social relations models examining perception and meta-perception. We propose a single unified model called the Perception-Meta-Perception Social Relations Model (PM-SRM). This model simultaneously estimates all possible parameters to provide a more complete understanding of the relationships between perception and meta-perception. We describe the components of the PM-SRM and present two pedagogical examples with code, openly available on https://osf.io/4ag5m . Using a new package in R (xxM), we estimated the model using multilevel structural equation modeling which provides an approachable and flexible framework for evaluating the PM-SRM. Further, we discuss possible expansions to the PM-SRM which can explore novel and exciting hypotheses.

Building a Model of Family Caregiving for Children with Emotional Disorders

1997 ◽  
Vol 5 (3) ◽  
pp. 138-148 ◽  
Author(s):  
Thomas P. Mcdonald ◽  
Thomas K. Gregoire ◽  
John Poertner ◽  
Theresa J. Early
Keyword(s):  
Structural Equation Modeling ◽  
Emotional Disorders ◽  
Problem Behaviors ◽  
Family Caregiving ◽  
Latent Variables ◽  
Structural Equation ◽  
Empirical Literature ◽  
Equation Modeling ◽  
Special Challenge ◽  
And Coping

In this article we describe the results of an ongoing effort to better understand the caregiving process in families of children with severe emotional problems. We make two assumptions. First, we assume that these families are essentially like other families but are faced with a special challenge in raising and caring for their special children while at the same time performing the multiple tasks and demands faced by all families. Second, we assume that public policy and programs must be supportive of the care of these children in their own homes and communities whenever possible. The purpose of this article is to present a model of family caregiving that draws broadly from available theory and empirical literature in multiple fields and to subject this model to empirical testing. We use structural equation modeling with latent variables to estimate an empirical model based on the theoretical model. Results of the model testing point to the importance of the child's external problem behaviors and the family's socioeconomic status and coping strategies as determinants of caregiver stress. Other findings highlight difficulties in measuring and modeling the complex mediating process, which includes formal and informal supports, perceptions, and coping behaviors. The use of structural equation modeling can benefit our efforts to support families by making explicit our theories about the important dimensions of this process and the relationship between these dimensions, which can then be subjected to measurement and validation.

scholarly journals Structural Equation Modeling for the Effect of Main Factors on Abortion Issue

2019 ◽  
Vol 7 (1) ◽  
pp. 1-13
Author(s):  
Aras Jalal Mhamad ◽  
Renas Abubaker Ahmed
Keyword(s):  
Structural Equation Modeling ◽  
Latent Variables ◽  
Latent Variable ◽  
Structural Equation ◽  
Close Contact ◽  
Maternity Hospital ◽  
Equation Modeling ◽  
Research Model ◽  
Statistical Tools ◽  
Main Factors

       Based on medical exchange and medical information processing theories with statistical tools, our study proposes and tests a research model that investigates main factors behind abortion issue. Data were collected from the survey of Maternity hospital in Sulaimani, Kurdistan-Iraq. Structural Equation Modelling (SEM) is a powerful technique as it estimates the causal relationship between more than one dependent variable and many independent variables, which is ability to incorporate quantitative and qualitative data, and it shows how all latent variables are related to each other. The dependent latent variable in SEM which have one-way arrows pointing to them is called endogenous variable while others are exogenous variables. The structural equation modeling results reveal is underlying mechanism through which statistical tools, as relationship between factors; previous disease information, food and drug information, patient address, mother’s information, abortion information, which are caused abortion problem. Simply stated, the empirical data support the study hypothesis and the research model we have proposed is viable. The data of the study were obtained from a survey of Maternity hospital in Sulaimani, Kurdistan-Iraq, which is in close contact with patients for long periods, and it is number one area for pregnant women to obtain information about the abortion issue. The results shows arrangement about factors effectiveness as mentioned at section five of the study. This gives the conclusion that abortion problem must be more concern than the other pregnancy problem.

scholarly journals MODEL PERSAMAAN STRUKTURAL UNTUK MENGETAHUI PERSEPSI KONSUMEN TERHADAP BUAH IMPOR

2020 ◽  
Vol 9 (3) ◽  
pp. 149
Author(s):  
I KADEK TEGUH PRADANA ◽  
NI KETUT TARI TASTRAWATI ◽  
I PUTU EKA NILA KENCANA
Keyword(s):  
Structural Equation Modeling ◽  
Latent Variables ◽  
Structural Equation ◽  
Sem Analysis ◽  
Consumer Perception ◽  
Equation Modeling ◽  
Consumer Knowledge

This research is aimed to determine the factors that significantly influence consumer perception in buying imported fruits using structural equation modeling (SEM) analysis. The study use 164 data obtained from questionnaire, which respondents were aged 18 years old or above, from Gianyar Regency, had bought and had felt imported fruits. The study use 4 latent variables (perception, product, personal, culture) with 19 measured variables. The results showed that consumer knowledge about imported fruits (product) and culture about the use of imported fruits in traditional ceremonies (culture) were significantly influence consumer perception about consumption of imported fruit (perception).

scholarly journals EFFECTS OF E-COMMERCE ON THE SHARIA HOTELS BRAND AWARENESS IN BANDUNG

2018 ◽  
Vol 5 (10) ◽  
Author(s):  
Muchyidin Natakusuma ◽  
Ria Arifianti ◽  
Iwan Sukoco
Keyword(s):  
Structural Equation Modeling ◽  
Significant Influence ◽  
Structural Equation ◽  
Internet Technology ◽  
Brand Awareness ◽  
Equation Modeling ◽  
The Internet ◽  
Boutique Hotel ◽  
Complex Relationships ◽  
A Company

Sharia has become global, including the development of Sharia Hotels. In addition, the development of internet technology in Indonesia can be seen with the existence of e-commerce which benefits in the form of business convenience because the internet is seen as an advertising media that is cheaper, more efficient and effective. Tight business competition has made brand as an important aspect that can be a benchmark for a company. Sharia hotel owners use e-commerce to build strong brands and make consumers acknowledge that their brands are well received by consumers. This study aims to find out how e-commerce influences brand awareness in Narapati Indah Sharia Boutique Hotel and Convention Bandung. Respondents in this study were sampled using the Structural Equation Modeling (SEM) method that allows testing a series of relatively complex relationships simultaneously. The results showed that respondents' responses regarding e-commerce and brand awareness at Narapati Indah Sharia Hotel were in the good category. In addition, there is a significant influence between e-commerce on brand awareness in Narapati Indah Sharia Hotel especially through their own website so that to depend on other parties are no longer needed.

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.

Barriers to radical innovation in research institutions in China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jianhua Yang ◽  
Rafif Al-Sayed
Keyword(s):  
Theoretical Model ◽  
Latent Variables ◽  
Structural Equation ◽  
Business Models ◽  
Research Collaboration ◽  
Statistical Significance ◽  
Radical Innovation ◽  
Equation Modeling ◽  
Research Institutions ◽  
Content Type

Purpose This study aims to develop a better understanding of radical innovation performance and proposes a comprehensive and theoretical model of the barriers impeding radical innovation from the perspective of researchers working in research institutions in China. Both quantitative and qualitative techniques were used to test the hypotheses regarding barriers to radical innovation and the model proposed in this research. Design/methodology/approach The data was collected through questionnaires and semi-structured interviews with researchers from different research institutions across several cities in China. Next, the data was analyzed by deploying the structural equation modeling technique and calculating the statistical significance of correlations, regression and path coefficients among the latent variables. Findings The results indicated the major barriers impeding radical innovation in Chinese research institutes. Based on these findings, suggested policies, regulations and business models are put forward that can promote radical innovation in these institutes through increasing research freedom, enhancing organizational flexibility, attracting talented researchers and expanding research collaboration. Originality/value The research proposes a comprehensive and theoretical model of the barriers impeding radical innovation from the perspective of researchers working in research institutions in China.

Trust, Perceived Benefit, and Purchase Intention in C2C E-Commerce

2021 ◽  
pp. 1313-1338
Author(s):  
Shukuan Zhao ◽  
Yiwen Fang ◽  
Weiyong Zhang ◽  
Hong Jiang
Keyword(s):  
Structural Equation Modeling ◽  
Theoretical Model ◽  
Purchase Intention ◽  
Structural Equation ◽  
Research Question ◽  
Purchase Intentions ◽  
Equation Modeling ◽  
Theoretical Understanding ◽  
Perceived Benefit ◽  
The Relationship

It is a class research question about how trust and perceived benefit affect consumers' purchase intentions. This research examines the relationship in a very different context: consumer-to-consumer (C2C) e-commerce in China. Specifically, this research empirically assesses the differences in effect size due to the change of context. First, a theoretical model linking trust, perceived benefit, and their antecedents to purchase intention is developed upon the literature. Then the model is evaluated using empirical data collected at Taobao, the largest C2C e-commerce website in China. Partial least squares based structural equation modeling (PLS-SEM) results strongly support the model and research hypotheses. A developing country context can indeed affect the strength of effect. These results contribute to the literature in that they provide new insights toward a more in-depth theoretical understanding. Meanwhile, they can also provide useful guidance for managers.

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