Behzad Foroughi
Biographic Data
| ID | 1117562 |
|---|---|
| NAME | Behzad Foroughi |
| GIVEN NAMES | Behzad |
| FAMILY NAME | Foroughi |
| SIGNATURE | FOROUGHI B |
| AFFILIATIONS | I-Shou University |
| ORCID | 0000-0002-0621-4814 |
| VERIFIED | Yes |
| TOTAL WORKS | 21 |
| TOTAL CITATIONS | 4 |
| AUTHOR COUNT | 21 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Understanding generative AI effects on sustainable consumption outcomes
Strategies for Realizing Industry 5.0 Inclusive Sustainability Goals for Sustainable Development
Industry 5.0 has emerged to address the limitations of Industry 4.0 by emphasizing inclusive sustainability through environmentalism, human‐centricity, and resilience. However, its development faces barriers across technological, organizational, and social dimensions. This study proposes a structured decision‐making framework to identify critical barriers, design targeted strategies, and prioritize them for implementation. Strategies are evaluate…
Role of Ethical Principles and AI Characteristics in Shaping Generative AI Use in Higher Education and Its Impact on Academic Performance
The rapid integration of Generative AI in higher education has transformed teaching and learning, yet limited research explores the factors driving its adoption and impact on academic performance. This study addresses the gap in understanding how ethical principles (fairness, accountability, transparency, accuracy, autonomy) and AI characteristics (perceived anthropomorphism, perceived intelligence) influence students’ use of Generative AI tools …
The Role of Hedonic Quality Stimulation, Immersion, and Privacy Concerns in Metaverse Adoption
The metaverse marks a transformative frontier in educational technology; however, factors influencing students’ adoption of metaverse-based learning environments remain unclear. This study extends the Technology Acceptance Model by integrating hedonic quality stimulation, cognitive engagement, immersion, subjective norms, and personal innovativeness as antecedents, while examining perceived privacy risk as a moderating factor. Using a hybrid part…
Unveiling determinants of autonomous vehicle adoption through SEM-Anfis modelling
This study aims to examine the factors influencing individuals’ intentions to use ‘autonomous vehicles’ (AVs). By extending the ‘Technology Acceptance Model (TAM)’ with variables such as security risk, privacy concerns, perceived compatibility, personal innovativeness, and social influence, the research seeks to provide insights into the drivers and barriers to AV adoption. Data were collected from 378 drivers in Vietnam using social media platfo…
Tourism, happiness, and struggle
Profiling Outbound Tourists With Mild Dementia
Market segmentation is essential in tourism research for identifying distinct tourist groups and tailoring tourism services accordingly. While numerous studies have examined the segmentation strategies for various tourist demographics, the segmentation of vulnerable tourists with chronic diseases, such as dementia, remains significantly under‐investigated. This study represents the first attempt to classify tourists with chronic diseases based on…
Extending UTAUT2 to explore intention to use ChatGPT for travel planning
Purpose Generative artificial intelligence (AI) can revolutionize the tourism and hospitality industry by offering personalized recommendations and simplifying the process of obtaining travel information. This study investigates the critical drivers of ChatGPT usage for travel planning. The study extended the “extended unified theory of acceptance and use of technology” UTAUT2 by assessing the direct and moderating impacts of personal innovativen…
Determinants of Intention to Use ChatGPT for Educational Purposes
ChatGPT can revolutionize education by enhancing student engagement and making learning more personalized. Drawing on UTAUT2, this study investigated determinants of intention to use ChatGPT for educational purposes. Data were gathered from 406 Malaysian students and analyzed using a hybrid approach including “partial least squares” (PLS) and “fuzzy-set qualitative comparative analysis” (fsQCA). PLS showed that performance expectancy, effort expe…
Factors influencing attitude and intention to use autonomous vehicles in Vietnam
Purpose This study aims to explore and ranks the factors that might determine attitudes and intentions toward using autonomous vehicles (AVs). Design/methodology/approach The “technology acceptance model” (TAM) was extended by assessing the moderating influences of personal-related factors. Data were collected from 378 Vietnamese and analysed using a combination of “partial least squares” and the “adaptive neuro-fuzzy inference system” (ANFIS) te…
Evaluating the barriers affecting cybersecurity behavior in the Metaverse using PLS-SEM and fuzzy sets (fsQCA)
Tourists' Satisfaction, Experience, and Revisit Intention for Wellness Tourism
Wellness tourism has grown popular and augmented the global market due to increasing healthy lifestyles. Based on the expectancy disconfirmation theory, the study aims to determine the antecedents and significance of tourists' revisit intention for wellness tourism. A quantitative method has been adopted. Data was collected from 361 tourists at wellness centres in Malaysia, and structural equation modelling was used to analyze the measurement and…
Determinants of travel apps continuance usage intention
Although an increasing number of companies are investing in travel-related apps and user retention with travel apps is becoming critical for these companies, few studies have investigated the determinants of travellers’ post-adoption behaviour regarding travel apps. This study aims to contribute to the literature by exploring the drivers of travel-related apps’ continuance intention to use, drawing on technology continuance theory (TCT) by integr…
International tourists’ spending on traveling inside a destination
This paper investigates the travel spending behaviour of international tourists inside happier destinations. The empirical model is tested for 58 developed and developing countries. Applying various estimation methods and two different measures of nations’ happiness, the results show that tourists spend more on travelling inside a destination where local people are happier. In addition, we find that foreign tourists’ expenditures on travelling ar…
Intelligent automation implementation and corporate sustainability performance
Although Intelligent Automation (IA) represents the future of business automation, the organizational implementation and sustainability performance of this emerging technological innovation is vastly understudied. Understanding the implications of IA for sustainability is critical since leveraging these technologies shapes operations and policies that can promote sustainable digitalization and automation practices. We study how firms' technologic…
Travellers’ loyalty toward Airbnb
This study investigates the drivers of Airbnb users’ loyalty. Data were collected from 343 individuals and were analysed using the partial least squares technique. The results showed that accommodation price reasonableness, accommodation variety, website efficiency quality, and online review information quantity have effect on loyalty. Furthermore, the attractiveness of the reward program negatively moderates the impact of website efficiency qual…
Capital investment in telecommunications infrastructure and tourist arrivals in developing countries
This study investigates the relationship between capital investment in telecommunications infrastructure (TELCOM) and tourist arrivals in developing countries. Additionally, it examines whether the public–private sectors relationship moderates the effect of TELCOM on inbound tourism. The model is empirically tested for 46 developing countries for the years 2005–2019. Applying system generalized method of moments and dynamic fixed-effects estimato…
Economic policy uncertainty, consumer confidence in major economies and outbound tourism to African countries
Uncertainty, which is the only certain thing about the future, influences economic agents, their behaviours and economic activity. Debates and concerns about policy uncertainty have intensified following events such as the financial crisis, Brexit and more recently, the Covid-19 pandemic. The purpose of this study is to investigate the impact of changes in economic policy uncertainty and consumer confidence in a set of major economies on tourism …
Personality traits, psychological well-being, Facebook addiction, health and performance
The purpose of this study was to test the indirect effect of Facebook addiction on performance through physical and social health. Furthermore, the moderating effect of psychological well-being on the relationships between personality traits and Facebook addiction was investigated. Data were collected from 301 Malaysians via an online survey. The data were analysed using the partial least squares technique. The results showed that the Big Five pe…
Associations Between Instagram Addiction, Academic Performance, Social Anxiety, Depression, and Life Satisfaction Among University Students
Drivers and outcomes of Instagram Addiction
Intelligent automation implementation and corporate sustainability performance
Although Intelligent Automation (IA) represents the future of business automation, the organizational implementation and sustainability performance of this emerging technological innovation is vastly understudied. Understanding the implications of IA for sustainability is critical since leveraging these technologies shapes operations and policies that can promote sustainable digitalization and automation practices. We study how firms' technologic…
Tourists' Satisfaction, Experience, and Revisit Intention for Wellness Tourism
Wellness tourism has grown popular and augmented the global market due to increasing healthy lifestyles. Based on the expectancy disconfirmation theory, the study aims to determine the antecedents and significance of tourists' revisit intention for wellness tourism. A quantitative method has been adopted. Data was collected from 361 tourists at wellness centres in Malaysia, and structural equation modelling was used to analyze the measurement and…
Drivers and outcomes of Instagram Addiction
Personality traits, psychological well-being, Facebook addiction, health and performance
The purpose of this study was to test the indirect effect of Facebook addiction on performance through physical and social health. Furthermore, the moderating effect of psychological well-being on the relationships between personality traits and Facebook addiction was investigated. Data were collected from 301 Malaysians via an online survey. The data were analysed using the partial least squares technique. The results showed that the Big Five pe…
Associations Between Instagram Addiction, Academic Performance, Social Anxiety, Depression, and Life Satisfaction Among University Students
Travellers’ loyalty toward Airbnb
This study investigates the drivers of Airbnb users’ loyalty. Data were collected from 343 individuals and were analysed using the partial least squares technique. The results showed that accommodation price reasonableness, accommodation variety, website efficiency quality, and online review information quantity have effect on loyalty. Furthermore, the attractiveness of the reward program negatively moderates the impact of website efficiency qual…
Capital investment in telecommunications infrastructure and tourist arrivals in developing countries
This study investigates the relationship between capital investment in telecommunications infrastructure (TELCOM) and tourist arrivals in developing countries. Additionally, it examines whether the public–private sectors relationship moderates the effect of TELCOM on inbound tourism. The model is empirically tested for 46 developing countries for the years 2005–2019. Applying system generalized method of moments and dynamic fixed-effects estimato…
Economic policy uncertainty, consumer confidence in major economies and outbound tourism to African countries
Uncertainty, which is the only certain thing about the future, influences economic agents, their behaviours and economic activity. Debates and concerns about policy uncertainty have intensified following events such as the financial crisis, Brexit and more recently, the Covid-19 pandemic. The purpose of this study is to investigate the impact of changes in economic policy uncertainty and consumer confidence in a set of major economies on tourism …
Determinants of travel apps continuance usage intention
Although an increasing number of companies are investing in travel-related apps and user retention with travel apps is becoming critical for these companies, few studies have investigated the determinants of travellers’ post-adoption behaviour regarding travel apps. This study aims to contribute to the literature by exploring the drivers of travel-related apps’ continuance intention to use, drawing on technology continuance theory (TCT) by integr…
International tourists’ spending on traveling inside a destination
This paper investigates the travel spending behaviour of international tourists inside happier destinations. The empirical model is tested for 58 developed and developing countries. Applying various estimation methods and two different measures of nations’ happiness, the results show that tourists spend more on travelling inside a destination where local people are happier. In addition, we find that foreign tourists’ expenditures on travelling ar…
Intelligent automation implementation and corporate sustainability performance
Although Intelligent Automation (IA) represents the future of business automation, the organizational implementation and sustainability performance of this emerging technological innovation is vastly understudied. Understanding the implications of IA for sustainability is critical since leveraging these technologies shapes operations and policies that can promote sustainable digitalization and automation practices. We study how firms' technologic…
Determinants of Intention to Use ChatGPT for Educational Purposes
ChatGPT can revolutionize education by enhancing student engagement and making learning more personalized. Drawing on UTAUT2, this study investigated determinants of intention to use ChatGPT for educational purposes. Data were gathered from 406 Malaysian students and analyzed using a hybrid approach including “partial least squares” (PLS) and “fuzzy-set qualitative comparative analysis” (fsQCA). PLS showed that performance expectancy, effort expe…
Factors influencing attitude and intention to use autonomous vehicles in Vietnam
Purpose This study aims to explore and ranks the factors that might determine attitudes and intentions toward using autonomous vehicles (AVs). Design/methodology/approach The “technology acceptance model” (TAM) was extended by assessing the moderating influences of personal-related factors. Data were collected from 378 Vietnamese and analysed using a combination of “partial least squares” and the “adaptive neuro-fuzzy inference system” (ANFIS) te…
Evaluating the barriers affecting cybersecurity behavior in the Metaverse using PLS-SEM and fuzzy sets (fsQCA)
Tourists' Satisfaction, Experience, and Revisit Intention for Wellness Tourism
Wellness tourism has grown popular and augmented the global market due to increasing healthy lifestyles. Based on the expectancy disconfirmation theory, the study aims to determine the antecedents and significance of tourists' revisit intention for wellness tourism. A quantitative method has been adopted. Data was collected from 361 tourists at wellness centres in Malaysia, and structural equation modelling was used to analyze the measurement and…
Profiling Outbound Tourists With Mild Dementia
Market segmentation is essential in tourism research for identifying distinct tourist groups and tailoring tourism services accordingly. While numerous studies have examined the segmentation strategies for various tourist demographics, the segmentation of vulnerable tourists with chronic diseases, such as dementia, remains significantly under‐investigated. This study represents the first attempt to classify tourists with chronic diseases based on…
Extending UTAUT2 to explore intention to use ChatGPT for travel planning
Purpose Generative artificial intelligence (AI) can revolutionize the tourism and hospitality industry by offering personalized recommendations and simplifying the process of obtaining travel information. This study investigates the critical drivers of ChatGPT usage for travel planning. The study extended the “extended unified theory of acceptance and use of technology” UTAUT2 by assessing the direct and moderating impacts of personal innovativen…
Understanding generative AI effects on sustainable consumption outcomes
Strategies for Realizing Industry 5.0 Inclusive Sustainability Goals for Sustainable Development
Industry 5.0 has emerged to address the limitations of Industry 4.0 by emphasizing inclusive sustainability through environmentalism, human‐centricity, and resilience. However, its development faces barriers across technological, organizational, and social dimensions. This study proposes a structured decision‐making framework to identify critical barriers, design targeted strategies, and prioritize them for implementation. Strategies are evaluate…
Role of Ethical Principles and AI Characteristics in Shaping Generative AI Use in Higher Education and Its Impact on Academic Performance
The rapid integration of Generative AI in higher education has transformed teaching and learning, yet limited research explores the factors driving its adoption and impact on academic performance. This study addresses the gap in understanding how ethical principles (fairness, accountability, transparency, accuracy, autonomy) and AI characteristics (perceived anthropomorphism, perceived intelligence) influence students’ use of Generative AI tools …
The Role of Hedonic Quality Stimulation, Immersion, and Privacy Concerns in Metaverse Adoption
The metaverse marks a transformative frontier in educational technology; however, factors influencing students’ adoption of metaverse-based learning environments remain unclear. This study extends the Technology Acceptance Model by integrating hedonic quality stimulation, cognitive engagement, immersion, subjective norms, and personal innovativeness as antecedents, while examining perceived privacy risk as a moderating factor. Using a hybrid part…
Unveiling determinants of autonomous vehicle adoption through SEM-Anfis modelling
This study aims to examine the factors influencing individuals’ intentions to use ‘autonomous vehicles’ (AVs). By extending the ‘Technology Acceptance Model (TAM)’ with variables such as security risk, privacy concerns, perceived compatibility, personal innovativeness, and social influence, the research seeks to provide insights into the drivers and barriers to AV adoption. Data were collected from 378 drivers in Vietnam using social media platfo…
Tourism, happiness, and struggle
Psychology (9 works) · Business (6 works) · Social Psychology (6 works) · Technology Adoption and User Behaviour (6 works) · Digital Marketing and Social Media (5 works) · Tourism (5 works) · AI in Service Interactions (4 works) · Computer Science (4 works) · Diverse Aspects of Tourism Research (4 works) · Economics (4 works)