Irem Onder
Biographic Data
| ID | 5068282 |
|---|---|
| NAME | Irem Onder |
| GIVEN NAMES | Irem |
| FAMILY NAME | Onder |
| SIGNATURE | ONDER I |
| AFFILIATIONS | University of Massachusetts Amherst |
| ORCID | 0000-0001-7020-3733 |
| VERIFIED | Yes |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 83 |
| WORKS AS AUTHOR | 15 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 5 |
Agricultural heritage as a cultural moderator of sustainable food tourism behavior
Cross-border tourism in North America
This study proposes a hybrid predictive framework designed to forecast border tourism flows among the United States, Canada, and Mexico. Combining Fuzzy Markov Chains, Hidden Markov Models, and attention-based deep learning architectures (RNNs, GRUs, and CNNs), the model captures the complex and dynamic interplay between exchange rate volatility and broader macroeconomic conditions over forty years. Results show that tourist behavior is shaped by…
Beauty or the Borg
How AI hallucinations threaten research integrity in tourism
Generative Artificial Intelligence in the Hospitality and Tourism Industry
Generative artificial intelligence (GAI) offers important opportunities for the hospitality and tourism (HT) industry in the context of operations, design, marketing, destination management, human resources, revenue management, accounting and finance, strategic management, and beyond. However, the implementation of GAI in HT contexts comes with ethical, legal, social, and economic considerations that require careful reflection by HT firms. The pu…
Smart tourism destination (STD)
Smart tourism destinations (STDs), driven by technological advancements, aim to increase travellers' experiences and residents' quality of life.However, the existing research primarily focuses on the perspectives of tourists while neglecting the attitudes of residents.Residents' attitudes will impact their support of local smart tourism development.Without residents' support, STD-related projects may face failure, as exemplified by the case of th…
The implications of generative artificial intelligence in academic research and higher education in tourism and hospitality
The purpose of this study is to critically review the effect of generative artificial intelligence (GAI) tools on higher education and research in the tourism and hospitality (TH) field. This manuscript identifies capabilities and implications of these GAI applications through a theoretical lens. GAI adoption in TH education can facilitate personalized learning experiences, enhance the technological competence of students, and foster a more diver…
Blockchain
Recently, blockchain and cryptocurrencies have become topics of discussion in both research and industry. Iansiti and Lakhani perceive blockchain as a foundational technology rather than a disruptive one, since potentially new economic and social systems can be based on blockchain. Therefore, understanding blockchain and contemplating its impact on the tourism and hospitality industry is essential. The tourism and hospitality industry has to focu…
Serious gaming to stimulate participatory urban tourism planning
This paper examines how a serious game approach could support a participatory planning process by bringing stakeholders together to discuss interventions that assist the development of sustainable urban tourism. A serious policy game was designed and played in six European cities by a total of 73 participants, reflecting a diverse array of tourism stakeholders. By observing in-game experiences, a pre- and post -game survey and short interviews si…
An Exploratory Analysis of Geotagged Photos From Instagram for Residents of and Visitors to Vienna
This study uses geotagged photos from Instagram to identify differences between the popular places in Vienna for residents and visitors. Moreover, we explore whether geotagged data can be useful in determining tourism demand in Vienna. The spatial analysis of 627,632 geotagged photos reveals the top-50 locations in Vienna for all-, local-, and visiting-Instagram users based on three popularity indicators (numbers of likes, comments, and photos). …
Temporal variability of emotions in social media posts
Employing the metadata from 627,632 Instagram posts for the Austrian capital city of Vienna over the period of October 30th, 2011 to February 7th, 2018, the present study extracts sentiment, as well as single basic emotions according to Plutchik's Wheel of Emotions, from the photo captions including hashtag terms. In doing so, an algorithm falling into the category of dictionary-based approaches to study emotions contained in written text was dev…
Modeling Airbnb demand to New York City while employing spatial panel data at the listing level
Scientific value of econometric tourism demand studies
Forecasting city arrivals with Google Analytics
Forecasting international city tourism demand for Paris
Forecasting international city tourism demand for Paris
Forecasting city arrivals with Google Analytics
Generative Artificial Intelligence in the Hospitality and Tourism Industry
Generative artificial intelligence (GAI) offers important opportunities for the hospitality and tourism (HT) industry in the context of operations, design, marketing, destination management, human resources, revenue management, accounting and finance, strategic management, and beyond. However, the implementation of GAI in HT contexts comes with ethical, legal, social, and economic considerations that require careful reflection by HT firms. The pu…
Modeling Airbnb demand to New York City while employing spatial panel data at the listing level
Scientific value of econometric tourism demand studies
How AI hallucinations threaten research integrity in tourism
Beauty or the Borg
Forecasting international city tourism demand for Paris
Forecasting city arrivals with Google Analytics
Scientific value of econometric tourism demand studies
Modeling Airbnb demand to New York City while employing spatial panel data at the listing level
An Exploratory Analysis of Geotagged Photos From Instagram for Residents of and Visitors to Vienna
This study uses geotagged photos from Instagram to identify differences between the popular places in Vienna for residents and visitors. Moreover, we explore whether geotagged data can be useful in determining tourism demand in Vienna. The spatial analysis of 627,632 geotagged photos reveals the top-50 locations in Vienna for all-, local-, and visiting-Instagram users based on three popularity indicators (numbers of likes, comments, and photos). …
Temporal variability of emotions in social media posts
Employing the metadata from 627,632 Instagram posts for the Austrian capital city of Vienna over the period of October 30th, 2011 to February 7th, 2018, the present study extracts sentiment, as well as single basic emotions according to Plutchik's Wheel of Emotions, from the photo captions including hashtag terms. In doing so, an algorithm falling into the category of dictionary-based approaches to study emotions contained in written text was dev…
Blockchain
Recently, blockchain and cryptocurrencies have become topics of discussion in both research and industry. Iansiti and Lakhani perceive blockchain as a foundational technology rather than a disruptive one, since potentially new economic and social systems can be based on blockchain. Therefore, understanding blockchain and contemplating its impact on the tourism and hospitality industry is essential. The tourism and hospitality industry has to focu…
Serious gaming to stimulate participatory urban tourism planning
This paper examines how a serious game approach could support a participatory planning process by bringing stakeholders together to discuss interventions that assist the development of sustainable urban tourism. A serious policy game was designed and played in six European cities by a total of 73 participants, reflecting a diverse array of tourism stakeholders. By observing in-game experiences, a pre- and post -game survey and short interviews si…
Smart tourism destination (STD)
Smart tourism destinations (STDs), driven by technological advancements, aim to increase travellers' experiences and residents' quality of life.However, the existing research primarily focuses on the perspectives of tourists while neglecting the attitudes of residents.Residents' attitudes will impact their support of local smart tourism development.Without residents' support, STD-related projects may face failure, as exemplified by the case of th…
The implications of generative artificial intelligence in academic research and higher education in tourism and hospitality
The purpose of this study is to critically review the effect of generative artificial intelligence (GAI) tools on higher education and research in the tourism and hospitality (TH) field. This manuscript identifies capabilities and implications of these GAI applications through a theoretical lens. GAI adoption in TH education can facilitate personalized learning experiences, enhance the technological competence of students, and foster a more diver…
Beauty or the Borg
How AI hallucinations threaten research integrity in tourism
Generative Artificial Intelligence in the Hospitality and Tourism Industry
Generative artificial intelligence (GAI) offers important opportunities for the hospitality and tourism (HT) industry in the context of operations, design, marketing, destination management, human resources, revenue management, accounting and finance, strategic management, and beyond. However, the implementation of GAI in HT contexts comes with ethical, legal, social, and economic considerations that require careful reflection by HT firms. The pu…
Agricultural heritage as a cultural moderator of sustainable food tourism behavior
Cross-border tourism in North America
This study proposes a hybrid predictive framework designed to forecast border tourism flows among the United States, Canada, and Mexico. Combining Fuzzy Markov Chains, Hidden Markov Models, and attention-based deep learning architectures (RNNs, GRUs, and CNNs), the model captures the complex and dynamic interplay between exchange rate volatility and broader macroeconomic conditions over forty years. Results show that tourist behavior is shaped by…
Tourism (12 works) · Business (8 works) · Computer Science (7 works) · Diverse Aspects of Tourism Research (7 works) · Geography (7 works) · Political science (7 works) · Digital Marketing and Social Media (6 works) · Psychology (6 works) · Marketing (5 works) · Econometrics (4 works)