scholarly journals Exploring Psychographic Traits in Tourism Maketing: Causal Relationship from Destination Image to Loyalty

2013 ◽  
Vol 64 (2) ◽  
Author(s):  
Abduljalil Sarli ◽  
Rohaizat Baharun
Keyword(s):  
Causal Relationship ◽  
Latent Variables ◽  
Behavioral Intentions ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Consumption Patterns ◽  
Destination Image ◽  
Equation Modeling ◽  
Academic Researchers ◽  
Travel Satisfaction

Psychographics has been proposed as a valuable topic in the marketing literature. Also, it can be represented as latent variables which are related to the behaviors not only in the product or service discussions but also in the tourism activities. Besides, the tourism as the globally business can be understood in terms of the tourists’ reflections in the different ways. Hence, the survey of original intentions of tourists is very precious subjects by regarding the causal relationship for exploring phenomena from their behavioral intentions. As psychographic constructs, which can impact in the different glances of the affect and cognitive systems, create new consumption patterns for purchasing and repurchasing tourism packages. Therefore, loyalty is significantly considered as a valuable construct for stakeholders and academic researchers. Consequently, the aim of this study is to find out loyalty from psychographic facet. To date, there is a bridge gap through the intervening psychographic constructs like lifestyle, personality, and travel satisfaction to achieve loyalty. Additionally, the current study suggested an integrated model through the contemplated constructs by employing Structural Equation Modeling (SEM) technique to ascertain an appropriate model by Goodness-Of-Fit (GOF) indices.

scholarly journals The Antecedents of Tourists’ Behavioral Intentions at Sporting Events: The Case of South Korea

2019 ◽  
Vol 12 (1) ◽  
pp. 333 ◽  
Author(s):  
Yunduk Jeong ◽  
Andrew Yu ◽  
Suk-Kyu Kim
Keyword(s):  
South Korea ◽  
Place Attachment ◽  
Behavioral Intentions ◽  
Structural Equation ◽  
Likelihood Estimation ◽  
Destination Image ◽  
Equation Modeling ◽  
Sporting Events ◽  
Personal Involvement ◽  
Sports Tourism

Mega-sporting events can bring diverse benefits to the hosting areas, such as job creation and image improvement. However, only a handful of studies have explored the antecedents of destination image—which plays a crucial role in eliciting certain tourist behaviors—and personal involvement. To fill this gap, this study evaluates the relationships among personal involvement, destination image, place attachment, and behavioral intentions in the context of sporting event tourism to provide destination managers useful information for sustainable sports tourism development. We gathered information from 374 international tourists at the FINA (Fédération Internationale de Natation—International Swimming Federation) World Masters Championships Gwangju 2019 in South Korea. We used structural equation modeling was used along with maximum likelihood estimation to examine the predicted relationships. The findings show the positive impacts of (a) personal involvement on destination image, (b) destination image on place attachment, and (c) place attachment on behavioral intentions. Furthermore, (d) place attachment dictated the relationship between destination image and behavioral intentions. The findings confirm the significant role personal involvement plays in the improvement of a destination’s image. To ensure sustainable sports tourism, destination managers are advised to pay close attention to research findings on destination image in the development of their plans.

scholarly journals PEMODELAN STRUKTURAL DARI EMOSI POSITIF SEBAGAI PEMEDIASI TERHADAP PEMBELIAN TIDAK TERENCANA

2015 ◽  
Vol 4 (3) ◽  
pp. 104
Author(s):  
NI WAYAN ARNI YANITA ◽  
KETUT JAYANEGARA ◽  
I PUTU EKA N. KENCANA
Keyword(s):  
Structural Equation Modeling ◽  
Indirect Effect ◽  
Latent Variables ◽  
Structural Equation ◽  
Positive Emotions ◽  
Goodness Of Fit ◽  
Situational Factors ◽  
Equation Modeling ◽  
Impulse Buying ◽  
Mediation Models

Latent variables are variables that can not be observed directly. Latent variables can be observed with constituent indicators. One of the methods used to analyze the latent variables are Structural Equation Modeling (SEM). This research raised the case of impulse buying to be applied to the SEM method. Impulse buying influenced by the characteristics of the hypermarket, situational factors, the characteristics of the product, promotion and positive emotions. The purpose of this research was to determine the effect dari positive emotions as mediation to impulse buying.The results obtained indicate that positive emotions directly affect the impulse buying of 0.302, promotion directly affects the positive emotions of 0.367, and the promotion of indirect effect to impulse buying of 0.111. So positive emotions can mediate to impulse buying of 0.020. Goodness of fit mediation models not good with value 0.39.

Modeling End-users’ Acceptance of a Knowledge Authoring Tool

2006 ◽  
Vol 45 (05) ◽  
pp. 528-535 ◽  
Author(s):  
G. Del Fiol ◽  
R. A. Rocha ◽  
N. C. Hulse
Keyword(s):  
Technology Acceptance ◽  
Knowledge Base ◽  
Behavioral Intentions ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Online Survey ◽  
Knowledge Bases ◽  
End Users ◽  
Authoring Tool ◽  
Equation Modeling

Summary Objectives: Knowledge bases comprise a vital component in the classic medical expert system model, yet the knowledge acquisition process by which they are created has been characterized as highly iterative and labor-intensive. The difficulty of this process underscores the importance of knowledge authoring tools that satisfy the demands of end-users. The authors hypothesize that the acceptability of a knowledge authoring tool for the creation of medical knowledge base content can be predicted by an accepted model in the information technology (IT) field, specifically the Technology Acceptance Model (TAM). Methods: An online survey was conducted amongst knowledge base authors who had previously established experience with the authoring tool software. The Likert-based questions in the survey were patterned directly after accepted TAM constructs with minor modifications to particularize them to the software being used. The results were analyzed using structural equation modeling. Results: The TAM performed well in predicting end-users’ behavioral intentions to use the knowledge authoring tool. Five out of seven goodness-of-fit statistics indicate that the model represents the behavioral intentions of the authors well. All but one of the hypothesized relationships specified by the TAM were significant with p values less than 0.05. Conclusions: The TAM provides an adequate means by which development teams can anticipate and better understand what aspects of a knowledge authoring tool are most important to their target audience. Further research involving other behavioral models and an expanded user base will be necessary to better understand the scope of issues that factor into acceptability.

A Structure Model of Urban Forest Recreation Behavioral Intentions

2014 ◽  
Vol 522-524 ◽  
pp. 1065-1071
Author(s):  
Shu Tang ◽  
Hao Tang ◽  
Lu Zhou
Keyword(s):  
Behavioral Intentions ◽  
Structural Equation ◽  
Urban Forest ◽  
Perceived Value ◽  
Destination Image ◽  
Equation Modeling ◽  
Social And Emotional ◽  
Major Factors ◽  
The Relationship ◽  
Recreation Benefits

This paper explores the behavior model of urban forest recreationists and provides an analysis on the relationships between the constructs of destination image, recreation benefits, perceived value and behavioral intentions. Statistic materials suggest that the four principal components of destination image construct are accessibility, attractiveness, brand and amenities, while the major factors of recreation benefits include functional, social and emotional benefits. Structural equation modeling (SEM) technique being applied, the results indicate that destination image has both direct and indirect effects on the behavioral intentions, and the recreation benefits influences the behavioral intentions through perceived value as a moderating variable. In addition, the relationship path of destination image recreation benefits perceived value behavioral intentions has been proved evident in this study.

scholarly journals Investigating the Critical Factors of Professionals’ BIM Adoption Behavior Based on the Theory of Planned Behavior

2021 ◽  
Vol 18 (6) ◽  
pp. 3022
Author(s):  
Zezhou Wu ◽  
Mingyang Jiang ◽  
Heng Li ◽  
Xiaochun Luo ◽  
Xiaoying Li
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Latent Variables ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Reliability And Validity ◽  
Information Modeling ◽  
Equation Modeling ◽  
Critical Factors ◽  
Building Information

In recent years, building information modeling (BIM) has been receiving growing interest from the construction industry of China. Nevertheless, although BIM has many foreseeable advantages, many studies claimed that these advantages have not been sufficiently achieved in practice at the current stage. In this circumstance, it is interesting to investigate what really drives the adoption of BIM. Based on Ajzen’s theory of planned behavior (TPB), a hypothetical model which involves nine latent variables is initially established. Then, a questionnaire is designed and distributed to the construction professionals in the Chinese context. After reliability and validity analysis, the goodness-of-fit of the initial model and the related theoretical assumptions are tested through structural equation modeling (SEM). Based on the modification indicators, a modified model is finally derived. Results show that economic viability and governmental supervision are the most critical factors that influence construction professionals’ BIM adoption behavior in China, sharing weights of 0.37 and 0.34, respectively, whereas other factors play limited roles in this regard. The research findings revealed from this study can provide insightful references for countries that intend to promote BIM adoption in a similar circumstance.

scholarly journals The Effect of Smog-Related Factors on Korean Domestic Tourists’ Decision-Making Process

2020 ◽  
Vol 17 (10) ◽  
pp. 3706
Author(s):  
JunHui Wang ◽  
JooHyang Kim ◽  
JiHyo Moon ◽  
HakJun Song
Keyword(s):  
Decision Making ◽  
Latent Variables ◽  
Behavioral Intentions ◽  
Structural Equation ◽  
Equation Modeling ◽  
Perceived Behavioral Control ◽  
Protection Motivation ◽  
Extended Model ◽  
Related Factors ◽  
Goal Directed Behavior

The present study aims to explore Korean domestic tourists’ decision-making processes by utilizing an extended model of goal-directed behavior (EMGB) as a theoretical framework. Integrating government policy (PLY) and protection motivation for smog (PMS) with the original model of goal-directed behavior (MGB) makes it easier to better understand the formation process of tourists’ behavioral intentions for domestic travel. Structural equation modeling (SEM) is employed to identify the structural relationships among the latent variables. The results of the EMGB indicated that desire had the strongest effect on the behavioral intention of tourists to travel domestically; positive anticipated emotion is the main source of desire, followed by negative anticipated emotion. Government PLY on smog has a significant, positive and indirect effect on behavioral intentions of domestic or potential tourists through the protection motive theory. We found that desires are verified as a determinant of the behavioral intention’s formation, more significant than that of perceived behavioral control, frequency of past behavior and protection motivation. In addition, this study offers theoretical and practical suggestions.

scholarly journals The Influence of Liquidity and Profitability toward the growth of Stock price mediated by the Dividen Paid out (Case in banks listed in Indonesia Stock Exchange)

2017 ◽  
Vol 19 (3) ◽  
Author(s):  
Tigor Sitorus ◽  
Susi Elinarty
Keyword(s):  
Structural Equation Modeling ◽  
Causal Relationship ◽  
Stock Price ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Banking Sector ◽  
Stock Exchange ◽  
Equation Modeling ◽  
Direct Influence ◽  
Positive Effect

This study aims to extend causal relationship between the liquidity and the profitability with growth of stock price trough out to fill a gap research by the dividend paid out as mediated variable. This study conducted at the banking sector listed in Indonesia stock exchange period from 2011 until 2014. The Structural Equation Modeling (SEM) by Amos Software 21.00 was used to analyze the data, and the result shows high goodness of fit while the simultaneous and individual tests generate significant result except the direct influence of liquidity toward growth of stock price. The results of this study shows that; (1) the ratio of liquidity does not affect to the growth of stock price, (2) The ratio of liquidity has positive effect and significantly to dividend paid out, (3). The profitability ratio has positive effect and significantly to the growth of stock price, (4). The ratio of profitability has positive effect and significantly to dividend paid out, (5). The dividend paid out has positive effect and significantly to growth of stock price, so we may conclude that the result evidently shows the dividend paid out was able to mediate the influence of liquidity and profitability toward growth of stock price.

Building Acquisition Management Capability to Improve Firm Performance in Acquisitions

2022 ◽  
Vol 13 (2) ◽  
pp. 0-0
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Structural Model ◽  
Sampling Strategy ◽  
Equation Modeling ◽  
Economic Market ◽  
Strategic Integration ◽  
Management Capability ◽  
Acquisition Management

In the past two decades, the number of cross-border mergers and acquisitions in ASEAN has progressively expanded as the region has become a desired economic market for trade and investment. Therefore, this study aimed to identify the factors contributing to the success of acquisitions by corporations. It investigates the role of acquisition management capability with strategic integration and acquisition. The non-probability sampling strategy was used to collect information from 51 firms. With a five-point Likert scale, a systematic questionnaire was designed to test the latent variables by employing confirmatory factor analysis. The quantitative method of Structural Equation Modeling was used in the analysis. The results show that the structural model had a Goodness of Fit Index value that indicates all three latent variables and independent variables were valid. The findings indicate that acquisition management capability have a central role in advancing the overall integration of the acquiring firm in the ASEAN context.

scholarly journals PENGARUH ACARA PARIWISATA OLAHRAGA, CITRA DESTINASI HALAL, DAN NILAI YANG DIRASAKAN TERHADAP NIAT BERPERILAKU WISATAWAN UNTUK BERKUNJUNG KEMBALI, MEREKOMENDASIKAN KEPADA ORANG LAIN DAN POSITIF WOM

2021 ◽  
Vol 9 (4a) ◽  
pp. 81
Author(s):  
Baiq Nadia Nirwana ◽  
Sulhaini Sulhaini ◽  
Lalu Edy Herman Mulyono
Keyword(s):  
Behavioral Intentions ◽  
Structural Equation ◽  
Perceived Value ◽  
Sem Analysis ◽  
Destination Image ◽  
Equation Modeling ◽  
Sport Tourism ◽  
Significant Positive Effect ◽  
Modeling Analysis ◽  
Positive Effect

This study aims to examinethe influence of sport tourism events, halal destination image, and perceived value on behavioral intentions of tourists at the Mandalika International Marathon event. Data collection was carried out among both active and passive participants of the Mandalika International Marathon by using the associative quantitative method. Furthermore, the data collected was analyzed further. This study uses structural equation modeling analysis (SEM analysis) with AMOS applications. The results of the study indicated that sport tourism events haves a significant positive effect on behavioral intentions, and the halal destination image has a significant positive effect on perceived value. The West Nusa Tenggara government is supported event organizers to develop halal tourism and sport tourism events. This is to enhance, halal destination image in NTB is not only for religious tourism.Keywords :Event Sport Tourism, Halal Destination Image, Perceived Value, Behavioral Intentions.

scholarly journals Presenting of Indifference Management Model of Education System in Ardabil Province Using Structural Equation Modeling

2016 ◽  
Vol 9 (11) ◽  
pp. 90
Author(s):  
Elham Abolfazli ◽  
Reza Yousefi Saidabadi ◽  
Vahid Fallah
Keyword(s):  
Organizational Climate ◽  
Education System ◽  
Latent Variables ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Structural Model ◽  
Simple Random Sampling ◽  
Equation Modeling ◽  
Great Ability ◽  
And Performance

<p class="apa">The purpose of the present study is to investigate indifference management structural model in education system of Ardabil Province. The research method was integration study using Alli modeling. Statistical society of research was 420 assistant professors of educational science, managers and deputies of Ardabil’ second period of high schools that 383 individuals were selected by simple random sampling. The data collection tool was researcher-made questionnaire. Face and content validity of the questionnaire was confirmed by experts and its Cronbach’s alpha coefficient was obtained as of 0/80. In order to investigate hypothesizes of research, obtained data were transferred to LISREL software to fit Alli model of structural equation and then were analyzed. The obtained findings of the statistical analysis showed that behavior and performance of manager indirectly has a meaningful impact on indifference management variable through employee’ empowerment variables, job satisfaction of employee, organization’s culture, organizational climate and employee’ perception of the organization. Goodness of fit index (GFI) 0/92 and root mean square of residuals latent variables model was RMSEA=0/045. Therefore, the model has a good fit and has a great ability to measure main variables of research.</p>

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