Hasan Evrim Arici
Biographic Data
| ID | 3050090 |
|---|---|
| NAME | Hasan Evrim Arici |
| GIVEN NAMES | Hasan Evrim |
| FAMILY NAME | Arici |
| SIGNATURE | ARICI H E |
| AFFILIATIONS | Kastamonu University |
| ORCID | 0000-0003-3429-4513 |
| VERIFIED | Yes |
| TOTAL WORKS | 17 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 17 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Strategic management maturity in hotels: A typological framework for competitive advantage and organizational evolution
This study develops a Strategic Management Maturity Model (SMMM), categorizing hotels into Basic (Reactive), Developing (Adaptive), Mature (Proactive), and Advanced (Transformational) levels based on their strategic characteristics, competitive positioning, and firm scope. Using a qualitative, conceptual research approach, the study synthesizes insights from strategic management theories, including the Resource-Based View (RBV), Dynamic Capabilit…
Do Sustainability Compensation Incentives Matter for the Social Reputation of Global Hospitality Firms? A Machine Learning Approach
Our study aims to investigate the potential impact of sustainability compensation incentives on the social reputation of hospitality firms, using empirical data from prominent companies in the hospitality sector under the umbrella of legitimacy theory. The data for this study were sourced from Refinitiv, focusing on publicly traded companies within the hospitality and tourism industry. The initial sample consisted of 1100 firm‐year observations f…
Predictors of citations: An analysis of highly-cited-papers in hospitality and tourism research using a machine learning approach
In the dynamic nature of hospitality and tourism (H&T) research, it is increasingly difficult to distinguish highly-cited-papers (HCPs) due to the rapid proliferation of publications. This study employs machine learning techniques to identify the predictors of citation counts in H&T research over both short-term (5-year) and long-term (20-year) periods using HCPs. The analysis integrates a theoretical framework comprising normative theory and soc…
Sustainable development goals as drivers of tourism competitiveness: A machine learning perspective
This study investigates how progress on Sustainable Development Goals (SDGs) influences tourism competitiveness, reversing the conventional view of tourism as a driver of SDGs. Using data from the SDG Index and machine learning techniques, Random Forest, Bagging, Boosting, SHAP, and PDPs, the study evaluates how 17 SDGs predict international arrivals, tourism expenditures, and employment. Results highlight SDG 5 (Gender Equality), SDG 9 (Industry…
Factors affecting the participation of young people with intellectual disabilities in leisure time activities: Investigation of supporting and hindering factors
Innovation Ecosystems, Cultural Context, and Climate Performance: A Cross‐National Analysis Using Panel Regression and Machine Learning
This study investigates how national cultural values moderate the relationship between innovation ecosystems and climate change performance across 28 countries from 2013 to 2022. While innovation infrastructure, comprising regulatory quality, education, ICT, investment, and knowledge diffusion, is widely regarded as a key driver of climate action, countries with similar innovation capacities often demonstrate stark differences in environmental ou…
Could AI technologies be harnessed to break down barriers to inclusivity for women entrepreneurship in tourism
Despite growing scholarly attention to artificial intelligence (AI) and gender-related challenges in tourism research, a void exists in how the responsible AI could be harnessed to enhance women’s inclusivity in tourism entrepreneurship. Drawing on Rawls’ theory of justice, this study aims to fill this glaring gap by exploring whether and how AI could contribute to fostering a more equitable, inclusive and ethically responsible entrepreneurial ec…
A multilevel analysis of green organizational support among hotel employees in Türkiye
This study tests the cross-level association between green organizational support (GOS) among team members, green team resilience (GTR), green work engagement (GWE), and pro-environmental behaviour (PEB). Data for this study came from 59 work groups and 372 individuals working in 14 hotels in Antalya, Türkiye. To account for the nested data structure, hierarchical linear modeling was employed using R programming language. The present research rev…
Predicting tourism competitiveness with innovation: A machine learning approach
This study introduces an analytical model that establishes a connection between the factors that promote innovation in a country and the competitiveness of its tourism destinations. Invoking the international strategic competitiveness theory, this study is among the first to propose and empirically test the predictive roles of innovation facilitators on tourism competitiveness. Utilising longitudinal data from multiple countries from 2013 to 2022…
How does destination natural quality influence second homeowners’ life satisfaction: A mediation model and importance-performance map analysis
This study examines the effects of destination natural quality, place attachment, and destination psychological ownership on the life satisfaction of individuals having a second home in a tourist destination. Survey data were collected from 304 second homeowners and analyzed using PLS-SEM and Importance Performance Map Analysis (IPMA). PLS-SEM results revealed that perceived destination natural quality positively influences second homeowners’ pla…
Tour guide research in tourism scholarship: A critical review and future research agenda
Financial predictors of firms’ diversity scores: A Machine Learning Approach
Purpose Departing from previous studies, this paper aims to explore the predictive roles of financial indicators on diversity. Design/methodology/approach Data on all companies that are publicly traded was acquired from the Refinitiv Eikon database. The final list, which comprises 873 worldwide business data from 2021, composed the dataset. We used fundamental forward selection techniques, multiple regression and best subset regression in R progr…
How Do Customers React to Technology in the Hospitality and Tourism Industry
Growing scientific attention to technology has led to new guidelines for comprehending consumers’ experiences with the technology. Understanding the relationship between technology and consumers is crucial for advancing thought as well as practice in this subject. This study aims to look at the origins, significant subjects, scientific advances, and future advancements in customer reactions to technological research. To accomplish this aim, we ra…
Do ESG and Diversity Scores Predict Global Firms’ Environmental Innovation
Environmental innovation (EI) is fundamental to sustainable development goal (SDG) number 9. Indirectly, it contributes to the achievement of SDG 7 by laying the groundwork for producing renewable energy. Firms involve environmental, social, and governance (ESG) and diversity practices to achieve sustainable success. ESG and diversity scores on EI need to be predicted, yet EI predictors are few in the research. Our institutional theory-based stud…
CEO research in hospitality and tourism: A systematic literature review and future outlook
Although the literature on hospitality and tourism (H&T) emphasizes the role of the chief executive officer (CEO) in ensuring a firm's competitive advantage, little is known about how CEOs are deployed in H&T businesses. A significant gap in the research has been identified regarding how CEOs influence organizations in the sector. This study investigates potential synergies between H&T organizations' emphasis on CEOs and their impacts on various …
The use of big data analytics to discover customers’ perceptions of and satisfaction with green hotel service quality
This study examined customers’ green reviews on TripAdvisor and identified environmentally friendly themes and concepts. The differences among the 10 countries in terms of the volume of green reviews and customers’ green satisfaction ratings were also analysed. Using Leximancer analysis and multivariate analysis of a big dataset, we adopted a mixed research method to analyse 121,780 reviews posted on TripAdvisor for 87 green hotels from the top 1…
Blackbox between job crafting and job embeddedness of immigrant hotel employees: A serial mediation model
This study explores the influence of job crafting (JC) on migrant employees’ and its sensitivities on job embeddedness (JE) with the application of a serial mediation mechanism which takes into consideration the psychological capital and their work engagement as mediators. The data for this study was collected from immigrant employees in the hotel sector in North Cyprus. Both convenience and judgmental sampling techniques made up of 572 dyads wer…
CEO research in hospitality and tourism: A systematic literature review and future outlook
Although the literature on hospitality and tourism (H&T) emphasizes the role of the chief executive officer (CEO) in ensuring a firm's competitive advantage, little is known about how CEOs are deployed in H&T businesses. A significant gap in the research has been identified regarding how CEOs influence organizations in the sector. This study investigates potential synergies between H&T organizations' emphasis on CEOs and their impacts on various …
Blackbox between job crafting and job embeddedness of immigrant hotel employees: A serial mediation model
This study explores the influence of job crafting (JC) on migrant employees’ and its sensitivities on job embeddedness (JE) with the application of a serial mediation mechanism which takes into consideration the psychological capital and their work engagement as mediators. The data for this study was collected from immigrant employees in the hotel sector in North Cyprus. Both convenience and judgmental sampling techniques made up of 572 dyads wer…
The use of big data analytics to discover customers’ perceptions of and satisfaction with green hotel service quality
This study examined customers’ green reviews on TripAdvisor and identified environmentally friendly themes and concepts. The differences among the 10 countries in terms of the volume of green reviews and customers’ green satisfaction ratings were also analysed. Using Leximancer analysis and multivariate analysis of a big dataset, we adopted a mixed research method to analyse 121,780 reviews posted on TripAdvisor for 87 green hotels from the top 1…
How Do Customers React to Technology in the Hospitality and Tourism Industry
Growing scientific attention to technology has led to new guidelines for comprehending consumers’ experiences with the technology. Understanding the relationship between technology and consumers is crucial for advancing thought as well as practice in this subject. This study aims to look at the origins, significant subjects, scientific advances, and future advancements in customer reactions to technological research. To accomplish this aim, we ra…
Do ESG and Diversity Scores Predict Global Firms’ Environmental Innovation
Environmental innovation (EI) is fundamental to sustainable development goal (SDG) number 9. Indirectly, it contributes to the achievement of SDG 7 by laying the groundwork for producing renewable energy. Firms involve environmental, social, and governance (ESG) and diversity practices to achieve sustainable success. ESG and diversity scores on EI need to be predicted, yet EI predictors are few in the research. Our institutional theory-based stud…
CEO research in hospitality and tourism: A systematic literature review and future outlook
Although the literature on hospitality and tourism (H&T) emphasizes the role of the chief executive officer (CEO) in ensuring a firm's competitive advantage, little is known about how CEOs are deployed in H&T businesses. A significant gap in the research has been identified regarding how CEOs influence organizations in the sector. This study investigates potential synergies between H&T organizations' emphasis on CEOs and their impacts on various …
A multilevel analysis of green organizational support among hotel employees in Türkiye
This study tests the cross-level association between green organizational support (GOS) among team members, green team resilience (GTR), green work engagement (GWE), and pro-environmental behaviour (PEB). Data for this study came from 59 work groups and 372 individuals working in 14 hotels in Antalya, Türkiye. To account for the nested data structure, hierarchical linear modeling was employed using R programming language. The present research rev…
Predicting tourism competitiveness with innovation: A machine learning approach
This study introduces an analytical model that establishes a connection between the factors that promote innovation in a country and the competitiveness of its tourism destinations. Invoking the international strategic competitiveness theory, this study is among the first to propose and empirically test the predictive roles of innovation facilitators on tourism competitiveness. Utilising longitudinal data from multiple countries from 2013 to 2022…
How does destination natural quality influence second homeowners’ life satisfaction: A mediation model and importance-performance map analysis
This study examines the effects of destination natural quality, place attachment, and destination psychological ownership on the life satisfaction of individuals having a second home in a tourist destination. Survey data were collected from 304 second homeowners and analyzed using PLS-SEM and Importance Performance Map Analysis (IPMA). PLS-SEM results revealed that perceived destination natural quality positively influences second homeowners’ pla…
Tour guide research in tourism scholarship: A critical review and future research agenda
Financial predictors of firms’ diversity scores: A Machine Learning Approach
Purpose Departing from previous studies, this paper aims to explore the predictive roles of financial indicators on diversity. Design/methodology/approach Data on all companies that are publicly traded was acquired from the Refinitiv Eikon database. The final list, which comprises 873 worldwide business data from 2021, composed the dataset. We used fundamental forward selection techniques, multiple regression and best subset regression in R progr…
Strategic management maturity in hotels: A typological framework for competitive advantage and organizational evolution
This study develops a Strategic Management Maturity Model (SMMM), categorizing hotels into Basic (Reactive), Developing (Adaptive), Mature (Proactive), and Advanced (Transformational) levels based on their strategic characteristics, competitive positioning, and firm scope. Using a qualitative, conceptual research approach, the study synthesizes insights from strategic management theories, including the Resource-Based View (RBV), Dynamic Capabilit…
Do Sustainability Compensation Incentives Matter for the Social Reputation of Global Hospitality Firms? A Machine Learning Approach
Our study aims to investigate the potential impact of sustainability compensation incentives on the social reputation of hospitality firms, using empirical data from prominent companies in the hospitality sector under the umbrella of legitimacy theory. The data for this study were sourced from Refinitiv, focusing on publicly traded companies within the hospitality and tourism industry. The initial sample consisted of 1100 firm‐year observations f…
Predictors of citations: An analysis of highly-cited-papers in hospitality and tourism research using a machine learning approach
In the dynamic nature of hospitality and tourism (H&T) research, it is increasingly difficult to distinguish highly-cited-papers (HCPs) due to the rapid proliferation of publications. This study employs machine learning techniques to identify the predictors of citation counts in H&T research over both short-term (5-year) and long-term (20-year) periods using HCPs. The analysis integrates a theoretical framework comprising normative theory and soc…
Sustainable development goals as drivers of tourism competitiveness: A machine learning perspective
This study investigates how progress on Sustainable Development Goals (SDGs) influences tourism competitiveness, reversing the conventional view of tourism as a driver of SDGs. Using data from the SDG Index and machine learning techniques, Random Forest, Bagging, Boosting, SHAP, and PDPs, the study evaluates how 17 SDGs predict international arrivals, tourism expenditures, and employment. Results highlight SDG 5 (Gender Equality), SDG 9 (Industry…
Factors affecting the participation of young people with intellectual disabilities in leisure time activities: Investigation of supporting and hindering factors
Innovation Ecosystems, Cultural Context, and Climate Performance: A Cross‐National Analysis Using Panel Regression and Machine Learning
This study investigates how national cultural values moderate the relationship between innovation ecosystems and climate change performance across 28 countries from 2013 to 2022. While innovation infrastructure, comprising regulatory quality, education, ICT, investment, and knowledge diffusion, is widely regarded as a key driver of climate action, countries with similar innovation capacities often demonstrate stark differences in environmental ou…
Could AI technologies be harnessed to break down barriers to inclusivity for women entrepreneurship in tourism
Despite growing scholarly attention to artificial intelligence (AI) and gender-related challenges in tourism research, a void exists in how the responsible AI could be harnessed to enhance women’s inclusivity in tourism entrepreneurship. Drawing on Rawls’ theory of justice, this study aims to fill this glaring gap by exploring whether and how AI could contribute to fostering a more equitable, inclusive and ethically responsible entrepreneurial ec…
Business (11 works) · Tourism (10 works) · Political science (7 works) · Diverse Aspects of Tourism Research (6 works) · Marketing (6 works) · Environmental Sustainability in Business (5 works) · Hospitality (5 works) · Sustainability (5 works) · Computer Science (4 works) · Hospitality and Tourism Education (4 works)