The influence of bootstrapping in testing a model of motivation and visit intention of generation Z to the attractive building architecture destinations

Abstract This research aims to identify the impact of e-WOM on the enthusiasm of generation Z to travel in architectural tourist attractions using the theory of reasoned action. The four variables used in this analysis are e-WOM, attitude, subjective norm, and visit intention. Structural equation modeling (SEM) with Amos software is used to assess the impact of independent variables on the dependent variable. One of the prerequisites for using SEM is that the data is normally distributed; however, the data in the analysis was not normally distributed, so the bootstrapping process was used to solve this. This article focused on explaining the data processing process in SEM to concern the data testing and the effect of bootstrapping in the model forming and not discuss the model result, only compare the result before and after bootstrapping process. The most influential variable in each construct is the same between before and after bootstrapping. The goodness of fit result before bootstrapping in all categories is poor fit but after bootstrapping only one category is poor fit and others are a good fit.

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The Impact of BIB Spiraling-Induced Missing Data Patterns on Goodness-of-Fit Tests in Factor Analysis

Journal of Educational and Behavioral Statistics ◽

10.3102/10769986020001069 ◽

1995 ◽

Vol 20 (1) ◽

pp. 69-82 ◽

Cited By ~ 1

Author(s):

David Kaplan

Keyword(s):

Factor Analysis ◽

Missing Data ◽

Structural Equation ◽

Goodness Of Fit ◽

Covariance Matrices ◽

Equation Modeling ◽

Continuous Variables ◽

Goodness Of Fit Test ◽

New Approach ◽

The Impact

This article considers the impact of missing data arising from balanced incomplete block (BIB) spiraled designs on the chi-square goodness-of-fit test in factor analysis. Specifically, data arising from BIB designs possess a unique pattern of missing data that can be characterized as missing completely at random (MCAR). Standard approaches to factor analyzing such data rest on forming pairwise available case (PAC) covariance matrices. Developments in statistical theory for missing data show that PAC covariance matrices may not satisfy Wishart distribution assumptions underlying factor analysis, thus impacting tests of model fit. One approach, advocated by Muthén, Kaplan, and Hollis (1987) for handling missing data in structural equation modeling, is proposed as a possible solution to these problems. This study compares the new approach to the standard PAC approach in a Monte Carlo framework. Results show that tests of goodness-of-fit are very sensitive to PAC approaches even when data are MCAR, as is the case for BIB designs. The new approach is shown to outperform the PAC approach for continuous variables and is comparatively better for dichotomous variables.

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Resilience Analysis of Crisis in Medical Environments: A Structural Equation Modeling based on Crisis Management Components

International Journal of Occupational Hygiene ◽

10.18502/ijoh.v13i2.8367 ◽

2022 ◽

Author(s):

SAMIRA GHIYASI ◽

FATEMEH VERDI BAGHDADI ◽

FARSHAD HASHEMZADEH ◽

AHMAD SOLTANZADEH

Keyword(s):

Structural Equation Modeling ◽

Crisis Management ◽

Work Experience ◽

Structural Equation ◽

Goodness Of Fit ◽

Equation Modeling ◽

Fit Indices ◽

Cross Sectional ◽

Resilience Index ◽

The Impact

Enhancing the index of crisis resilience is one of the key goals in medical environments. Various parameters can affect crisis resilience. The current study was designed to analyze crisis resilience in medical environments based on the crisis management components. This cross-sectional and descriptive-analytical study was performed in 14 hospitals and medical centers, in 2020. A sample size of 343.5 was determined based on the Cochran's formula. We used a 44-item crisis management questionnaire of Azadian et al. to collect data. The components of this questionnaire included management commitment, error learning, culture learning, awareness, preparedness, flexibility, and transparency. The data was analyzed based on the structural equation modeling approach using IBM SPSS AMOS v. 23.0. The participants’ age and work experience mean were 37.78±8.14 and 8.22±4.47 years. The index of crisis resilience was equal to 2.96±0.87. The results showed that all components of crisis management had a significant relationship with this index (p <0.05). The highest and lowest impact on the resilience index were related to preparedness (E=0.88) and transparency (E=0.60). The goodness of fit indices of this model including RMSEA, CFI, NFI, and NNFI (TLI) was 2.86, 0.071, 0.965, 0.972, and 0.978. The index of crisis resilience in the medical environments was at a moderate level. Furthermore, the structural equation modeling findings indicated that the impact of each component of crisis management should be considered in prioritizing measures to increase the level of resilience.

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Driving value creation in the new economy following the COVID-19 crisis. Data-mining students’ satisfaction from online teaching in the virtual academic climate.

The Electronic Journal of e-Learning ◽

10.34190/ejel.19.5.1991 ◽

2021 ◽

Vol 19 (5) ◽

pp. pp452-468

Author(s):

Eyal Eckhaus ◽

Nitza Davidovitch

Keyword(s):

Mixed Methods Research ◽

Structural Equation ◽

Online Teaching ◽

Teaching And Learning ◽

Goodness Of Fit ◽

Equation Modeling ◽

Academic Institutions ◽

Ethical Implications ◽

Advantages And Disadvantages ◽

The Impact

This study examines the advantages of online teaching from the perspective of students at eleven institutions of higher education, universities and colleges, in Israel. The study was conducted at the end of the second semester of their academic studies, after students had experienced “face to face” studies, and they were asked to reply freely to an open question on their evaluation of the benefits of transitioning to online teaching. Students were forced to cope with a new reality, where they were compelled to study in a “digital classroom”. The academic-social climate, the conduct of lecturer-student relations, and the relations among the students themselves, changed instantaneously, with no preparation by any of those involved. Hence, the research findings can illuminate the strengths of online teaching, with a view to the future. Was the impact of teaching and learning in the coronavirus circumstances a one-time event for the students or one from which it is possible to examine and embrace new ways of learning as they see them? Based on 1,937 fully completed surveys from eleven academic institutions, we employed a mixed methods research design. Major themes were manually tagged, and an empirical model was developed. Structural Equation Modeling (SEM) was utilized to test the model’s goodness-of-fit. Findings present a host of parameters that have a significant positive influence on students’ positive perception of the transition to online teaching. This study is the first to thoroughly examine advantages and disadvantages of the transition to online teaching among a large group of students, from several different academic institutions, and presents both qualitative and empirical results. Ethical implications of the findings are discussed.

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Exploring the Effect of Coupon Proneness and Redemption Efforts on Mobile Coupon Redemption Intentions

International Journal of Marketing Studies ◽

10.5539/ijms.v8n6p1 ◽

2016 ◽

Vol 8 (6) ◽

pp. 1

Author(s):

Ernesto Gonzalez

Keyword(s):

Technology Acceptance ◽

Structural Equation ◽

Reasoned Action ◽

Action Theory ◽

Business Students ◽

Descriptive Analysis ◽

Equation Modeling ◽

Use Of Technology ◽

Mobile Coupons ◽

The Impact

This paper examined the impact of coupon proneness and redemption efforts on the intention to redeem or use mobile coupons from the smartphones in a sample of business students at Florida National University. The descriptive analysis, which was based on the Theory of Reasoned Action, Theory of Plan Behavior, Acquisition-Transaction Utility Theory, Unified Theory of Acceptance and Use of Technology, and The Technology Acceptance Model Theory, used the coupon proneness, redemption efforts and the intention to redeem or use mobile coupons scales adapted to mobile coupons setting. Structural equation modeling revealed two subcomponents of the coupon proneness (coupon propensity and enjoyment) and high and significant values of coupon propensity and enjoyment on the intention to redeem or use mobile coupons for the groups of students. However, the impact of redemption efforts on the intention to redeem or use mobile coupons was negative as expected, but weak and not significant.

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PENGARUH PENGALAMAN, KEPERCAYAAN, CITRA TERHADAP LOYALITAS MEREK DAN DAMPAKNYA TERHADAP SIKAP KONSUMEN PADA PERLUASAN MEREK OBAT FLU DAN BATUK

JEBI | Jurnal Ekonomi Bisnis Indonesia ◽

10.36310/jebi.v13i1.92 ◽

2018 ◽

Vol 13 (1) ◽

pp. 12-24

Author(s):

Handono Handoyo

Keyword(s):

Brand Loyalty ◽

Structural Equation ◽

Goodness Of Fit ◽

Design Research ◽

Brand Extension ◽

Equation Modeling ◽

Product Price ◽

Over The Counter ◽

The People ◽

The Impact

The pharmaceutical sector in Indonesia has grown by 12.5% per year, as prescriptiondrugs, Over the Counter (OTC) medicines and dietary supplements (nutrition and vitamins) allexperience increased sales. Bodrex is one type of over-the-counter medication to overcome theheadache that has been well known and believed for more than 45 years by the people in Indonesiaand then innovate manufacturers to expand the brand by launching Bodrex Flu and Cough.IMS datamarket shared Flu and Cough drug of Bodrex sales decline every year ie in 2013 amounted to 1.10%,in 2014 amounted 0.89% and in 2014 amounted to 0.84%. The purpose of this research was todetermine the effect of marketing mix composed of product, price, promotion and place of the brandloyalty so that the impact on consumer brand extension attitude. Questionnaire with closed questionsare used as design research instrument, and as many as 200 respondents were sampled in theresearch. Methods of SEM (Structural Equation Modeling) is used as a technique of data analysis,SPSS 16 and Lisrel 8.7 for windows was used to analysis the data obtained after the research. Theresearch shows that the experience, trust and image simultaneously influence the brand loyalty sothat the impact on consumer brand extension flu and cough drug eligible Goodness of fit. Partiallybrand experience significantly influence brand loyalty with t values 2.12. Partially Brand Trustaffects loyalty because it has a t value of 0.97. Partially Brand Image significant effect on purchasingdecision because have value 2,93.Secara Partial Loyalitas significant influence to ConsumerAttitude on Brand Extension because have value 11,11.

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The influence of Islamic attributes on tourist satisfaction with pull motivation as an intervening variables

International Journal of Tourism Cities ◽

10.1108/ijtc-02-2021-0033 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Hilda Monoarfa ◽

Agus Rahayu ◽

Fitranty Adirestuty ◽

Rizuwan Abu Karim ◽

Azlin Zanariah Bahtar ◽

...

Keyword(s):

Structural Equation ◽

Quantitative Methods ◽

Small Sample ◽

Partial Least Square ◽

Least Square ◽

Equation Modeling ◽

Content Type ◽

Tourist Attractions ◽

Tourist Satisfaction ◽

The Impact

Purpose The purpose of this study is to find out the level of influence of Islamic attributes and pull motivation to the satisfaction of Muslim tourists visiting Indonesia. Furthermore, this study may reveal where variables have a strong influence on the variable satisfaction of Muslim tourists. In addition, this study also wanted to know if Islamic attributes can influence the satisfaction of Muslim tourists with pull motivation as a moderating variable. Design/methodology/approach Using quantitative methods, this study analyzed the results of questionnaires that have been distributed to 200 Muslim tourist respondents who have visited Indonesia. To declare the hypotheses, the collected data were analyzed with structural equation modeling-partial least square using SmartPLS application version 3.2.7. Findings From this study, it was discovered that pull motivation has more effect on the satisfaction of Muslim tourists visiting Indonesia. Other results showed that both Islamic attributes and pull motivation simultaneously affect the satisfaction of Muslim tourists. Furthermore, Islamic attributes can affect pull motivation and pull motivation can also become an intermediary variable in bridging the impact of Islamic attributes on the satisfaction of Muslim tourists. Research limitations/implications The limitations of this study include the relatively small sample used and not yet taking foreign tourists as respondents. Besides that, you can also add several variables to complement this research in the future either as an intervening variable or a mediator variable. Practical implications To increase the satisfaction of Muslim tourists traveling to Indonesia, policymakers in Indonesia must further improve the facilities of the pull motivation aspect such as the cleanliness of tourist attractions, exotic locations and hygienic shopping centers. In addition, aspects of Islamic attributes must also be updated, such as aspects of adequate worship facilities and tourist attractions that apply the concept of halal for Muslims. Originality/value The originality of this study on the pull motivation variable as an intervening variable and adding the Islamic attribute variable in the case of Muslim tourist satisfaction.

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The impact of the uses and gratifications of tourist attraction fan page

Internet Research ◽

10.1108/intr-04-2017-0175 ◽

2018 ◽

Vol 28 (3) ◽

pp. 587-603 ◽

Cited By ~ 10

Author(s):

Kevin K.W. Ho ◽

Eric W.K. See-To

Keyword(s):

Structural Equation ◽

Design Methodology ◽

Uses And Gratifications ◽

Equation Modeling ◽

Tourist Attraction ◽

Content Type ◽

Tourist Attractions ◽

Research Gap ◽

The Impact ◽

Smart Tourism

Purpose The fan page of social network site can be used as a platform for the tourist attractions to interact with their consumers. The purpose of this paper is to investigate how entertainment, informativeness, and socializing gratifications affect a user’s attitude toward a tourist attraction fan page in the context of smart tourism, on which scant research has been conducted so far. Design/methodology/approach The authors investigate how entertainment, information, and socialization gratifications affect a user’s attitude toward a tourist attraction fan page of Hong Kong youth in the context of smart tourism using structural equation modeling. Findings The authors show that three aspects of gratifications, i.e., entertainment, informativeness, and socializing, have significant impacts on a user’s attitude toward a tourist attraction fan page, which subsequently has an impact on intention to visit the attraction through a user’s attitude toward a tourist attraction developed through his/her attitude toward a fan page. Originality/value Scant research has been conducted to study how uses and gratifications affect a user’s attitude toward a tourist attraction fan page in the context of smart tourism. This research fills this research gap.

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Athlete brand image influence on the behavioral intentions of Generation Z

Social Behavior and Personality An International Journal ◽

10.2224/sbp.9533 ◽

2021 ◽

Vol 49 (2) ◽

pp. 1-13

Author(s):

Jin Ho Shin ◽

Jeong Woo Lee

Keyword(s):

Behavioral Intentions ◽

Structural Equation ◽

Role Model ◽

Brand Image ◽

Equation Modeling ◽

The Sustainable Development ◽

Generation Z ◽

Consumer Segment ◽

Asian Context ◽

The Impact

We investigated the effect of athlete brand image (ABI) on Generation Z's behavioral intentions, when controlling for congruency of advertised products. We are the first to apply the relatively new concept of ABI to the intent of behavior in a specific consumer segment in an East Asian context. Data from a survey of 563 Korean respondents were analyzed using structural equation modeling. The results show that congruency acted as a mediator in the conceptual model. The findings also suggest that sportsmanship, role model, and relationship effort appeared to be the most important attributes of ABI. Consequently, athletes and their agents should concentrate on specific attributes to develop stronger brand images. By better understanding the impact of ABI on Generation Z, marketers can effectively target this unique consumer base, which will enable the sustainable development of the advertising market.

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Study on farmers land consolidation adaptation intention

China Agricultural Economic Review ◽

10.1108/caer-09-2016-0142 ◽

2018 ◽

Vol 10 (4) ◽

pp. 666-682 ◽

Cited By ~ 2

Author(s):

Abrham Tezera Gessesse ◽

Houjian Li ◽

Ge He ◽

Araya Alemie Berhe

Keyword(s):

Social Network ◽

Structural Equation ◽

Goodness Of Fit ◽

Rehabilitation Program ◽

Land Consolidation ◽

Equation Modeling ◽

Content Type ◽

Face To Face ◽

Effects Of Media ◽

The Impact

Purpose The purpose of this paper is to examine the effects of media and social network in the development of farmers land consolidation (LC) awareness, perception and adaptation intention decisions. Design/methodology/approach A face-to-face interview was carried out with randomly selected farmers from three districts (Neijiang, Ya’an and Dujiangyan) of Sichuan province, China. A structural equation modeling (SEM) technique was used to test the conceptual framework of this study. The SEM was set to confirmatory factor analysis of the measurement and structural models for maximum likelihood estimate by means of IBM-AMOS to capture the models goodness-of-fit. Findings The result indicates that social network contributes a significant role in the development of farmers LC awareness, perception and adaptation intention decisions than media. The total (direct and indirect) effect of social network and media toward the farmers LC adaptation intention is 56.7 and 14 percent, respectively. When farmers are aware and perceived of LC and rehabilitation program, their adaptation intention improves significantly. Therefore, social network is a useful tool in improving the awareness, perception and adaptation intention decisions of Sichuan farmers compared to media. Originality/value This study tests the applicability of SEM techniques to understand the farmers LC adaptation intentions; and synthesizes the impact of social network and media in the development of the farmers LC awareness, perception as well as adaptation intentions. This study serves as an outline for assessing the adaptation intention of farmers toward sustainable land management.

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The Impact of the Learning Effectiveness on Alumni Employability: A Case Study of a T/I Department in Taiwan

Studies in English Language Teaching ◽

10.22158/selt.v4n4p586 ◽

2016 ◽

Vol 4 (4) ◽

pp. 586

Author(s):

Pin-Shan Hsiung

Keyword(s):

Structural Equation ◽

Goodness Of Fit ◽

Core Competency ◽

Equation Modeling ◽

Parameter Estimates ◽

Learning Effectiveness ◽

Fit Indices ◽

Academic Advancement ◽

Current Employment Status ◽

The Impact

In recent years, the number of translation and interpretation courses offered in Taiwan has increased rapidly, but few studies has looked at the employability of their graduates. This paper is aimed to investigate the direct effects of curriculum on the professional careers of alumni as reflected in their current employment status and level of academic advancement. A questionnaire survey was carried out to evaluate multiple aspects of teaching, including learning effectiveness, core competency, curriculum design and repay the society. Through an analysis of 150 named and 300 anonymous questionnaires, this study analyzed the learning effectiveness as the mediator for the careers of alumni, using the Amos statistical package for Structural Equation Modeling (SEM), along with other related techniques, such as Confirmatory Factor Analysis (CFA). The analyses have produced parameter estimates and goodness-of-fit indices, which could be useful for many purposes, such as examining longitudinal data and comparing groups. It is hoped that this brief study may provide a better understanding and a basis for future studies.

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