scholarly journals Resident Perceptions toward Tourism Development at a Large Scale

2019 ◽  
Vol 11 (18) ◽  
pp. 5074 ◽  
Author(s):  
Rong Li ◽  
Li Peng ◽  
Wei Deng
Keyword(s):  
Social Order ◽  
Structural Equation ◽  
Large Scale ◽  
Tourism Development ◽  
Equation Modeling ◽  
Affecting Factors ◽  
High Priority Task ◽  
Resident Perceptions ◽  
Environmental Deterioration ◽  
Economic Improvement

Tourism has been experiencing a rapid increase in the developed world, especially in China, and resident perceptions toward tourism development have been receiving increasing attention. However, resident perceptions on a large scale and the associated affecting factors remain unknown. In this study, 63 independent samples across China were analyzed using structural equation modeling, and the effects of three factors of per capita gross domestic product (GDP), tourist receipts and length of tourism development from the perceptive of economy, society and culture, and environment were investigated. Residents demonstrated a positive attitude toward tourism development on a large scale across China. However, the resident perceptions were GDP-dependent, which indicated a lower awareness of infrastructure improvement with the increase in GDP. Meanwhile, residents became more aware of environmental deterioration and social-order disturbance with the increase in the length of tourism development and tourist receipts. In addition, tourist receipts and length of tourism development exerted indirect effects on other perceptions by affecting the perception of environmental deterioration and economic improvement. Our results implied that to minimize the effect of negative perception, attention should be paid to the optimization of the perceptions of economic improvement and environmental deterioration, and the protection of the residential environment should be viewed as a high-priority task in improving resident perceptions.

scholarly journals Cyberstalking Victimization Model Using Criminological Theory: A Systematic Literature Review, Taxonomies, Applications, Tools, and Validations

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1670
Author(s):  
Waheeb Abu-Ulbeh ◽  
Maryam Altalhi ◽  
Laith Abualigah ◽  
Abdulwahab Ali Almazroi ◽  
Putra Sumari ◽  
...  
Keyword(s):  
Data Analysis ◽  
Structural Equation ◽  
Large Scale ◽  
Review Paper ◽  
Essential Element ◽  
Routine Activities ◽  
Criminological Theory ◽  
Equation Modeling ◽  
Future Research ◽  
Proposed Model

Cyberstalking is a growing anti-social problem being transformed on a large scale and in various forms. Cyberstalking detection has become increasingly popular in recent years and has technically been investigated by many researchers. However, cyberstalking victimization, an essential part of cyberstalking, has empirically received less attention from the paper community. This paper attempts to address this gap and develop a model to understand and estimate the prevalence of cyberstalking victimization. The model of this paper is produced using routine activities and lifestyle exposure theories and includes eight hypotheses. The data of this paper is collected from the 757 respondents in Jordanian universities. This review paper utilizes a quantitative approach and uses structural equation modeling for data analysis. The results revealed a modest prevalence range is more dependent on the cyberstalking type. The results also indicated that proximity to motivated offenders, suitable targets, and digital guardians significantly influences cyberstalking victimization. The outcome from moderation hypothesis testing demonstrated that age and residence have a significant effect on cyberstalking victimization. The proposed model is an essential element for assessing cyberstalking victimization among societies, which provides a valuable understanding of the prevalence of cyberstalking victimization. This can assist the researchers and practitioners for future research in the context of cyberstalking victimization.

Green Practices Implementation as Prerequisite to Sustain Firm Competitive Advantages

2015 ◽  
Vol 6 (4) ◽  
pp. 34-53
Author(s):  
Kardison Lumbanbatu ◽  
Vincent Didiek Wiet Aryanto
Keyword(s):  
Product Innovation ◽  
Structural Equation ◽  
Large Scale ◽  
Management Practices ◽  
Corporate Image ◽  
Equation Modeling ◽  
Competitive Advantages ◽  
Green Management ◽  
Marketing Performance

Encompassing firms to apply green policy in a holistic management practices are strongly required in order to maintain competitive advantages and experience long-term marketing performance. This current empirical research is aimed to fill the lack of empirical findings and empirical studies on firm's innovative concept. Green-based product innovation, green management practices and green corporate image are presented as the antecedents and postulated as the sources of sustaining firm competitive advantages. A questionnaire-based survey was deployed to collect data from Large Scale Enterprises in Indonesia with Top Management, Operational and Marketing Managers served as respondents. 500 questionnaires were mailed and 388 were valid for further analysis. Data was analyzed by using Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) via AMOS statistical software. Statistical findings demonstrated that green-based product innovation, green management practices and green corporate image significantly has a positive affect to sustain firm competitive advantages which is led to enhance long term marketing performance. However, green-based product innovation plays insignificant direct relationship on long term marketing performance. This study discusses some managerial implications for enterprises and recommendations on a basis of green implementation.

Consumers’ self-congruence with a “Liked” brand

2017 ◽  
Vol 51 (2) ◽  
pp. 367-390 ◽  
Author(s):  
Elaine Wallace ◽  
Isabel Buil ◽  
Leslie de Chernatony
Keyword(s):  
Social Relations ◽  
Brand Loyalty ◽  
Structural Equation ◽  
Large Scale ◽  
Equation Modeling ◽  
Future Research ◽  
Tie Strength ◽  
Brand Love ◽  
Content Type ◽  
Self Image

Purpose Brand “Likes” on Facebook facilitate self-expression, forming part of consumers’ virtual selves. Yet, consumers’ brand “Likes” may bear little resemblance to their material realities. This paper aims to test similarities of brand image with self-image for Facebook “Likes” to determine whether self-congruence with a “Liked” brand leads to positive offline brand outcomes. It also investigates whether consumers’ perceptions about their Facebook social relations influence self-congruent brand “Likes”. Design/methodology/approach A large-scale survey was conducted of regular Facebook users who “Liked” brands. Data from 438 respondents was analysed and hypotheses tested using structural equation modeling. Findings Empirical results show that the perceived self-congruence with a “Liked” brand increases with social tie strength. Perceived social tie strength is informed by perceived attitude homophily. When the perceived self-congruence with a “Liked” brand is higher, brand love and word of mouth (WOM) are enhanced. Consumers also have greater brand loyalty and offer more WOM when brands are loved. Research limitations/implications Findings demonstrate the influence of consumers’ cognitive network on “Likes” and brand outcomes. Further replication would enhance generalisability. Future research should use a wider sample and investigate other variables. Practical implications Findings support managers seeking to grow and analyse Facebook “Likes” by providing insights into brand loyalty, brand love and WOM for “Liked” brands. Originality/value The paper addresses the dearth of research exploring how consumers’ perceptions of their Facebook network influence their online brand behaviour and how perceived self-congruence with a “Liked” brand relates to brand outcomes.

scholarly journals The Impact of COVID-19 Pandemic on Residents’ Support for Sustainable Tourism Development

2021 ◽  
Vol 13 (22) ◽  
pp. 12541
Author(s):  
Simona Vinerean ◽  
Alin Opreana ◽  
Cosmin Tileagă ◽  
Roxana Elena Popșa
Keyword(s):  
Social Exchange ◽  
Structural Equation ◽  
Sustainable Tourism ◽  
Negative Relationship ◽  
Tourism Development ◽  
Tourism Industry ◽  
Integrative Model ◽  
Equation Modeling ◽  
Sustainable Tourism Development ◽  
The Impact

The tourism industry has been gravely affected by the COVID-19 pandemic. In this context, the purpose of this study was to explore residents’ support for sustainable tourism development in an integrative model that considered well-established factors and the impact of the COVID-19 pandemic. Addressing various research gaps caused by the pandemic, this study aimed to examine a model based on eight hypotheses. Using the premises of a cross-sectional study, data was gathered from residents from Sibiu. Data analysis implied various steps to provide an accurate understanding of the hypotheses and the model was developed based on structural equation modeling. Considering the results of hypothesis testing, our study reconfirmed the applicability of social exchange theory in describing residents’ attitudes toward tourism development and positioned quality of life as an important predictor for this construct. Also, the outcomes highlighted a negative relationship between the host community’s perceptions of the coronavirus pandemic and their subsequent support for sustainable tourism development. Overall, the results focused on offering contributions for a better understanding of residents’ behavior and the influence of the COVID-19 outbreak on their support for sustainable tourism development. The conceptual and practical ramifications of the study were addressed in the article’s conclusion.

scholarly journals NEW TRENDS OF INTELLIGENT E-MARKETING AND CONSUMER BUYING BEHAVIOUR: A STUDY OF SELECTED UNIVERSITIES IN OSUN STATE, NIGERIA

2020 ◽  
Vol 5 (1) ◽  
pp. 14-25
Author(s):  
Haorayau Bolaji Babalola ◽  
Saheed Ademola Lateef ◽  
Abu Abu Zekeri
Keyword(s):  
Structural Equation ◽  
Large Scale ◽  
Mobile Marketing ◽  
Primary Data ◽  
Equation Modeling ◽  
Buying Behavior ◽  
Diffusion Of Technology ◽  
Product Service ◽  
Buying Behaviour ◽  
Consumer Buying Behavior

Understanding the attitude and behavior of customers is essential for every company where consumers differ in attitudes towards product/service. The consumer buying behavior in today's information-saturated world is based on how a product/service is marketed. However, the rapid diffusion of technology anchored growth and challenges on e-marketing trends. For instance, despite the widespread and large-scale adoption of e-marketing around the world, one does not see this trend happening on a big scale in Nigeria. Therefore, this study examines the influence of e-marketing factors on consumer buying behavior in the Nigerian context with particular reference to the University students participating in online business. The study employed the quantitative method, where primary data were collected via online distribution of the questionnaires among 233 customers, specifically students of the Osun state Universities in Nigeria. Also, structural equation modeling using AMOS software was employed to examine the relationship and hypothesis testing. The findings of this study revealed that e-marketing is positively and significantly influence consumer buying behavior in the area of e-mail marketing, mobile marketing, and e-advertising factors. The study asserted that firms must engage the consumers using technology that are more likely acceptable by consumers in the present digital and customer-oriented era. Also, knowing fully the emerging technologies may furnish valuable insights for various stakeholders to work well in Nigeria. Finally, the new trends in e-marketing are recommended from a strategic and operational level in which different techniques ease the buying behavior of consumers.  

Structural equation modeling of residents' attitudes and tourism development: a SET based - study of the Kashmir region in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aasif Ali Bhat ◽  
Kakali Majumdar
Keyword(s):  
Structural Equation Modeling ◽  
Social Exchange ◽  
Structural Equation ◽  
Social Exchange Theory ◽  
Tourism Development ◽  
Exchange Theory ◽  
Primary Data ◽  
Equation Modeling ◽  
Content Type ◽  
The Social

PurposeThe present study tries to develop a model that assesses the factors that determine support for tourism development by residents of the Kashmir region.Design/methodology/approachPrimary data have been collected (n = 650) from the residents of the top five tourist destinations through a pre-tested questionnaire by a multistage convenient sampling method. A model has been drafted and tested through the technique of structural equation modeling by applying the social exchange theory as a theoretical framework.FindingsThe results revealed that residents who perceived more benefits were more expected to support tourism development, and residents who perceive more costs were less expected to support tourism development, thus supporting the social exchange theory.Originality/valueThe results of this study are extremely useful for the local government and tourism institutions in the future planning of tourism development and also fill the vast gap in the tourism literature with a theoretical base.

End-Users’ Acceptance of Biometrics Authentication to Secure E-Commerce within the Context of Saudi Culture

2013 ◽  
pp. 1356-1376
Author(s):  
Fahad AL Harby ◽  
Rami Qahwaji ◽  
Mumtaz Kamala
Keyword(s):  
Structural Equation ◽  
Large Scale ◽  
Sem Analysis ◽  
Equation Modeling ◽  
Factors Affecting ◽  
Moderating Variables ◽  
Use Of Technology ◽  
Moderating Factors ◽  
Education Levels ◽  
Scale Experiment

This book study presents recent findings from an ongoing cross-cultural study exploring the acceptance of a new security method based on biometrics authentication systems to be applied to an e-commerce application within the context of Saudi culture. The aim of the study was to explore factors affecting users’ acceptance of biometrics authentication system. The authors conducted a large scale experiment of 306 Saudis using a login fingerprint system and examined a proposed conceptual framework based on the Unified Theory of Acceptance and Use of Technology (UTAUT) with moderating variables. The findings from Structural Equation Modeling (SEM) analysis indicate that education levels are significant moderating factors, while gender and age do not record as significant. The findings of this study propose the need to take cultural background and disposition into consideration when applying biometrics technology.

Developing an Instrument for E-Public Services’ Acceptance Using Confirmatory Factor Analysis

2012 ◽  
Vol 24 (3) ◽  
pp. 18-44 ◽  
Author(s):  
Ahmed Alzahrani ◽  
Bernd Carsten Stahl ◽  
Mary Prior
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Large Scale ◽  
Public Services ◽  
Equation Modeling ◽  
Data Sampling ◽  
Potential Cost ◽  
Confirmatory Factor

Governments worldwide spend billions from their allocated IT budgets to deliver convenient electronic services to their citizens. As a result, it is important to encourage citizens to use these services to avoid potential failures. Yet, few empirical studies exist that cover the relevant issues of adoption from the perspective of citizens in developing countries. Moreover, the need for a well-validated instrument to capture citizen adoption of such services is vital, given the vast investment in technology and the potential cost-saving implications. This study integrates elements from the most popular theories, including adoption technology acceptance model (TAM), innovation diffusion theory (IDT), and theory of planned behavior (TPB), in conjunction with web trust models. It develops an instrument to measure citizens’ acceptance of electronic public services by utilizing confirmatory factor analysis (CFA) within the structural equation modeling technique. Findings of a large scale data sampling of citizens in Saudi Arabia indicate that the proposed measurement model is an acceptable fit with the data. Overall, the findings supply a rigorous instrument for measuring citizens’ acceptance of e-public services, providing further insights for researchers and offering policy makers a suitable tool with which to study proposed strategies.

How do product involvement and prestige sensitivity affect price acceptance on the mobile phone market in Vietnam?

2019 ◽  
Vol 14 (3) ◽  
pp. 379-398 ◽  
Author(s):  
Ngoc Minh Nguyen ◽  
Huyen Thi Nguyen
Keyword(s):  
Factor Analysis ◽  
Mobile Phone ◽  
Cultural Values ◽  
Structural Equation ◽  
Equation Modeling ◽  
Product Knowledge ◽  
Affecting Factors ◽  
Product Involvement ◽  
Market Segments ◽  
Content Type

Purpose The aim of this paper is to incorporate the theoretically and practically appropriate affecting factors of customers’ price acceptance to develop an integrated model explaining customers’ price acceptance on the mobile phone market in Vietnam. Design/methodology/approach This current research applied the cross-sectional design. Data was collected via questionnaires and 605 responses were left after refining. The exploratory factor analysis, confirmatory factor analysis and structural equation modeling methods were applied to analyze the collected data. Findings Prestige sensitivity and product involvement positively affect product knowledge and price mavenism. In turn, these two latter factors together with prestige sensitivity positively affect price acceptance. Besides, product knowledge and price mavenism mediated the effects of product involvement and prestige sensitivity on price acceptance in the context of complex products, rapid product innovation, social setting of using mobile phones, highly competitive market, the low purchasing power of customers and the typical cultural values of Vietnam. Practical implications The high product involvement and high prestige sensitivity customers could make up attractive market segments, especially important in the case of launching new products; concentrating marketing efforts on building product knowledge and price knowledge for these market segments may enhance price acceptance, speed up market penetration as well as improve price communication. Originality/value This is one of the first studies explaining price acceptance on the mobile phone market in Vietnam and clarifying the mediating effects of knowledge (product knowledge and price mavenism) on the causal relationships between product involvement/prestige sensitivity and price acceptance.

Analysis of Neural Interactions Explains the Activation of Occipital Cortex by an Auditory Stimulus

1998 ◽  
Vol 80 (5) ◽  
pp. 2790-2796 ◽  
Author(s):  
A. R. McIntosh ◽  
R. E. Cabeza ◽  
N. J. Lobaugh
Keyword(s):  
Auditory Stimulus ◽  
Structural Equation ◽  
Large Scale ◽  
Human Subjects ◽  
Premotor Cortex ◽  
Temporal Cortex ◽  
Occipital Cortex ◽  
Equation Modeling ◽  
Occipital Area ◽  
Neural Interactions

McIntosh, A. R., R. E. Cabeza, and N. J. Lobaugh. Analysis of neural interactions explains the activation of occipital cortex by an auditory stimulus . J. Neurophysiol. 80: 2790–2796, 1998. Large-scale neural interactions were characterized in human subjects as they learned that an auditory stimulus signaled a visual event. Once learned, activation of left dorsal occipital cortex (increased regional cerebral blood flow) was observed when the auditory stimulus was presented alone. Partial least-squares analysis of the interregional correlations (functional connectivity) between the occipital area and the rest of the brain identified a pattern of covariation with four dominant brain areas that could have mediated this activation: prefrontal cortex (near Brodmann area 10, A10), premotor cortex (A6), superior temporal cortex (A41/42), and contralateral occipital cortex (A18). Interactions among these regions and the occipital area were quantified with structural equation modeling to identify the strongest sources of the effect on left occipital activity (effective connectivity). Learning-related changes in feedback effects from A10 and A41/42 appeared to account for this change in occipital activity. Influences from these areas on the occipital area were initially suppressive, or negative, becoming facilitory, or positive, as the association between the auditory and visual stimuli was acquired. Evaluating the total effects within the functional models showed positive influences throughout the network, suggesting enhanced interactions may have primed the system for the now-expected visual discrimination. By characterizing both changes in activity and the interactions underlying sensory associative learning, we demonstrated how parts of the nervous system operate as a cohesive network in learning about and responding to the environment.

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