scholarly journals Destination Image of Himachal Pradesh: Foreign Tourist Perception

2021 ◽  
Vol 19 (2) ◽  
pp. 112-124
Author(s):  
Sunil Kumar ◽  
◽  
Sandeep Sharma ◽  
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Major Element ◽  
Himachal Pradesh ◽  
Destination Image ◽  
Equation Modeling ◽  
Latent Factors ◽  
Affective Dimension ◽  
Foreign Nationals ◽  
Present Experience

Destination Image is a psychological set of emotions in a tourist’s mind. This study is an inquiry from 384 Foreign Nationals who included destination Himachal in their visit to India. The latent factors of ‘destination image’ were extracted and validated through structural equation modeling (SEM). Out of the ten explored latent factors ‘affective’ dimension is the major element followed by ‘infrastructure’, ‘culture’ and ‘safety’ are acting as significant persuading forces in destination image formation. The study will help various organizations and agencies to position their tourism products. Future researchers can investigate the change in destination image with other locations having the same geographical conditions. This study is limited to the present experience of tourists and didn’t include the revisit experiences of foreign tourists.

scholarly journals MODELING TOURISTS’ SATISFACTION IN THE NATURE-BASED TOURIST DESTINATION USING STRUCTURAL EQUATION MODELING TECHNIQUE

2021 ◽  
Vol 37 (3) ◽  
pp. 814-822
Author(s):  
Md. Shakhawat HOSSAIN ◽  
◽  
Md. Golam MOSTAFA ◽  
Md. Alamgir HOSSAIN ◽  
◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Tourism Industry ◽  
Destination Image ◽  
Equation Modeling ◽  
Tourist Destination ◽  
Tourist Satisfaction ◽  
Revisit Intentions ◽  
The Relationship ◽  
Structured Questionnaire

The goal of this study is to show how satisfied tourists is of supreme significance to the tourism industry, particularly as it affects the future of a nature-based destination and explores the relationship among destination image, service quality, perceived value, tourist satisfaction, word-of-mouth, and revisit intentions of tourists. The 292 survey data was obtained via a structured questionnaire from tourists who visited the Haor region, Bangladesh and structural equation modeling (SEM) is used to test the hypothetical paths. Six hypotheses were accepted, and one is rejected. Tourism stakeholders can find important knowledge and they can satisfy tourists, which is likely by improving destination.

scholarly journals PERAN KOMUNIKASI E-WORD OF MOUTH TERHADAP VISIT INTENTION OBJEK WISATA

2021 ◽  
Vol 6 (2) ◽  
pp. 117-124
Author(s):  
Mokhamad Favian Rizki Pratama ◽  
Erna Andajani ◽  
Siti Rahayu
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Research Method ◽  
Word Of Mouth ◽  
Destination Image ◽  
Equation Modeling ◽  
Positive Perception ◽  
Tourist Destination

Penelitian ini bertujuan mengetahui peran e-WOM (Instagram) terhadap Visit Intention obyek wisata di Surabaya yang dipengaruhi oleh attitude toward behavior dan destionation image. Metode penelitian menggunakan SEM (Structural Equation Modeling) dengan jumlah sampel sebanyak 150 responden yang aktif menggunakan Instagram. Penelitian ini menunjukkan e-WOM melalui Instagram berperan penting terhadap visit intention objek wisata karena menimbulkan persepsi yang sangat baik bagi wisatawan lainnya dan membentuk image Surabaya adalah destinasi wisata yang menyenangkan. Kondisi ini menimbulkan persepsi positif bagi wisatawan lainnya mengenai Surabaya.   Abstract This study aims to determine the role of e-WOM (Instagram) on the visit intention of tourism objects in Surabaya which is influenced by attitude toward behavior & destination image. The research method uses SEM (Structural Equation Modeling) with a sample of 150 respondents who actively use Instagram. This study shows that e-WOM through Instagram plays an important role in the visit intention of tourist objects because it creates a very good perception for other tourists and forms the image of Surabaya as a pleasant tourist destination. This condition creates a positive perception for other tourists about Surabaya.

The role of familiarity in consumer destination image formation

2019 ◽  
Vol 74 (4) ◽  
pp. 885-901 ◽  
Author(s):  
Soyeon Kim ◽  
Xinran Lehto ◽  
Jay Kandampully
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Design Methodology ◽  
Destination Image ◽  
Equation Modeling ◽  
Tourist Destination ◽  
Web Based ◽  
Content Type ◽  
Practical Implications

Purpose The primary purpose of this study is to examine the effects of destination familiarity on consumers’ evaluations (cognitive image) and feelings (affective image) about the destination, leading to their intention to visit. Design/methodology/approach The data for this study were collected through a Web-based survey. Based on a sample of 460 respondents, structural equation modeling was used to test the proposed hypotheses. Findings The results showed that familiarity with a destination not only influences consumers’ cognitive evaluations of the destination but also affects their feelings about it, which translates into their intentions in travelling to the destination. The findings indicate that destination familiarity can enhance consumers’ knowledge about the destination, but more importantly, their affective perceptions can lead to a higher likelihood of visiting a destination. Practical implications The findings provide useful guidance for efficient marketing programs to attract more visitors to a certain tourist destination. Destination marketers must assess the level of familiarity of potential travelers in the development, design and promotion of a destination. This understanding will enable the marketers to more effectively communicate with their target markets and allow them to tailor advertising to different segments of their customers based on their familiarity. Originality/value The majority of previous studies regarding destination familiarity tend to measure the overall familiarity or experiential familiarity (e.g. a comparison between visitors vs non-visitors) without considering consumers’ indirect familiarity with a destination. This study attempts to conceptualize and empirically test the role of destination familiarity on consumers’ cognitive and affective images and intentions.

Integrative Model of the Implementation of e-WOM, Destination Image and Intention to Behave

2018 ◽  
Vol 9 (4) ◽  
pp. 841
Author(s):  
Naili FARIDA
Keyword(s):  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Significant Influence ◽  
Structural Equation ◽  
Destination Image ◽  
Integrative Model ◽  
Equation Modeling ◽  
Central Java ◽  
Water Spring

Abstract This study aims to examine: the influence of e-WOM and perceptions of quality on customer satisfaction and the effect of customer satisfaction and the image of the destinations on the intention to behave. The sample was 150 tourists visiting Sidomukti water spring in Bandungan Semarang Central Java Indonesia. Analysis of this study uses Structural Equation Modeling and PLS software to process the data. The results showed that: (1) e-WOM and perceptions of quality have a positive and significant influence on customer satisfaction, (2) Customer satisfaction has a positive and significant impact on the intention to behave, and (3) image of the destination has a positive and significant impact on the intention to behave.

scholarly journals Associating puberty, metabolism and cognition

2021 ◽  
Author(s):  
Rafaella Sales de Freitas ◽  
Fausto Coutinho-Lourenco ◽  
Hugo Cogo-Moreira ◽  
Allan Chiaratti Oliveira ◽  
Sabine Pompeia
Keyword(s):  
Socioeconomic Status ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Block Design ◽  
Metabolic Changes ◽  
Metabolic Status ◽  
Equation Modeling ◽  
Latent Factors ◽  
Intelligence Scale ◽  
Pubertal Status

Cognition is influenced by pubertal and metabolic changes independently. However, these changes co-occur in adolescence and their combined role on cognition is unclear. We used Structural Equation Modeling (SEM) to investigated the association of pubertal and metabolic status latent factors, each composed of a pool of indicators, on intelligence markers in 278 early adolescents, cross-sectionally. The SEM model, controlled for socioeconomic status, included paths between latent factors and from them to the outcomes: two subtests of Wechsler Abbreviated Intelligence Scale (Block Design; Vocabulary). Metabolic status related to pubertal status only in girls, but did not affect performance. Differently, more advanced pubertal status (controled for age) was positively associated with better verbal (Vocabulary) and non-verbal (Block Design) intelligence in both sexes.

Using structural equation modeling to understand the impact of Bollywood movies on destination image, tourist activity, and purchasing behavior of Indians

2015 ◽  
Vol 21 (3) ◽  
pp. 251-261 ◽  
Author(s):  
Bharath M Josiam ◽  
Daniel L Spears ◽  
Sanjukta Pookulangara ◽  
Kirti Dutta ◽  
Tammy R Kinley ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Destination Image ◽  
Equation Modeling ◽  
Purchasing Behavior ◽  
The Impact

A Structural Equation Modeling Based Approach for Identifying Key Descriptors in Microstructural Materials Design

2015 ◽  
Author(s):  
Yichi Zhang ◽  
Daniel W. Apley ◽  
Wei Chen
Keyword(s):  
Structural Equation Modeling ◽  
Material Properties ◽  
Structural Equation ◽  
Structural Model ◽  
Training Sample ◽  
Sem Analysis ◽  
Equation Modeling ◽  
Latent Factors ◽  
Training Sample Size ◽  
Supervised Ranking

In design of advanced heterogeneous materials system, microstructures play an important role as a link between processing and material properties. An accurate and efficient representation of material microstructures is necessary. Our prior work applied a supervised ranking algorithm to identify key microstructure descriptors, however the approach falls short in identifying redundancy in descriptors and is not reliable when the training sample size is small. In this paper, we propose a Structural Equation Modeling (SEM) based approach to identify significant microstructure descriptors based on either correlation functions (CF) or material properties, or both. By building a reflective structural model, we are able to deal with high correlations among all candidate descriptors, gain more insights into their relations, and identify latent factors for categorizing microstructure features. The proposed approach begins with an Exploratory Factor Analysis (EFA) for grouping and reducing descriptors to determine the proper structure of microstructure descriptors as indicators of latent factors. The SEM analysis is then applied to identify the key descriptors using the Partial Least Squares (PLS) algorithm. The nanodielectric system with epoxy-nanosilica is used as an example to illustrate and validate the proposed approach. The potential use of identified key microstructure descriptors for optimal design of microstructural materials is discussed.

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