Birgit Muskat
Biographic Data
| ID | 4628880 |
|---|---|
| NAME | Birgit Muskat |
| GIVEN NAMES | Birgit |
| FAMILY NAME | Muskat |
| SIGNATURE | MUSKAT B |
| AFFILIATIONS | Australian National University |
| ORCID | 0000-0003-2905-6836 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 18 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Internal social capital in restaurants: When Close Relationships Become a Barrier to Knowledge Sharing and Product Enhancement
Social capital is essential for success in tourism and hospitality businesses. Internal social capital develops through positive social relationships at work. Drawing on social capital theory, we investigate how internal social capital shapes knowledge sharing and innovation behaviours in hospitality businesses. We focus on positive and negative effects and draw attention to the tipping point of internal social capital. Results from 523 survey re…
Peer support and value creation among women entrepreneurs
In resource-constrained environments, where institutional support is scarce, women entrepreneurs often rely on peer support to sustain their ventures. While existing research emphasizes women as beneficiaries of help, this study shifts attention to their active role as help providers. We examine how women entrepreneurs balance providing help with pursuing their own economic survival, exploring the interplay of social and economic value creation. …
Communicating Green Innovation to Online Communities: Evidence from Sports Mega Events
Tourism and event organizers implement green innovation to mitigate the negative environmental impacts they cause. However, how to effectively communicate these green innovations to online communities remains a challenge. Drawing on message framing and construal level theories, we collected 503 tweets and used an exploratory sequential mixed-methods approach to analyze the textual data. First , we conducted abductive coding analysis, identifying …
Ai-based counterfactual reasoning for tourism research
Counterfactual reasoning is a high-level causality-based cognitive approach. • Prior AI tourism research often overlooked potential causal effects in data. • AI-based counterfactual reasoning captures causal effects for tourism big data. • AI-based counterfactual reasoning complements experimental design
Green innovation in events: The Role of Institutional Pressures, Future Orientation, and Past Experience
Green innovation is pivotal to events. However, little is known about how exhibitors manage the challenge of adopting green innovation in the fast-paced and short-oriented events. Drawing upon institutional theory and organisational learning perspective, this study investigates how institutional pressures are linked to exhibitors’ willingness to adopt (WTA) eco-exhibiting via two temporal variables: future orientation (mediator) and past experien…
Improving the resident–tourist relationship in urban hotspots
High volumes of tourists often pose a threat to tourism and decrease the quality of life for local residents, particularly in attractive urban tourism places. Yet, to date only a few solution-oriented studies have attempted to alleviate the overtourism problems and to improve the resident-tourist relationship. This study aims to present potential solutions, based on data analytics. Combining venue-referenced social media data with topic modelling…
Predictivity of tourism demand data
Group pooling for deep tourism demand forecasting
Understanding the Relationships between Tourists’ Emotional Experiences, Perceived Overall Image, Satisfaction, and Intention to Recommend
The purpose of this study is to empirically test an integrative model linking tourists’ emotional experiences, perceived overall image, satisfaction, and intention to recommend. The model was tested using data collected from domestic tourists visiting Sardinia, Italy. Results show that tourists’ emotional experiences act as antecedents of perceived overall image and satisfaction evaluations. In addition, overall image has a positive influence on …
Group pooling for deep tourism demand forecasting
Green innovation in events: The Role of Institutional Pressures, Future Orientation, and Past Experience
Green innovation is pivotal to events. However, little is known about how exhibitors manage the challenge of adopting green innovation in the fast-paced and short-oriented events. Drawing upon institutional theory and organisational learning perspective, this study investigates how institutional pressures are linked to exhibitors’ willingness to adopt (WTA) eco-exhibiting via two temporal variables: future orientation (mediator) and past experien…
Predictivity of tourism demand data
Ai-based counterfactual reasoning for tourism research
Counterfactual reasoning is a high-level causality-based cognitive approach. • Prior AI tourism research often overlooked potential causal effects in data. • AI-based counterfactual reasoning captures causal effects for tourism big data. • AI-based counterfactual reasoning complements experimental design
Understanding the Relationships between Tourists’ Emotional Experiences, Perceived Overall Image, Satisfaction, and Intention to Recommend
The purpose of this study is to empirically test an integrative model linking tourists’ emotional experiences, perceived overall image, satisfaction, and intention to recommend. The model was tested using data collected from domestic tourists visiting Sardinia, Italy. Results show that tourists’ emotional experiences act as antecedents of perceived overall image and satisfaction evaluations. In addition, overall image has a positive influence on …
Group pooling for deep tourism demand forecasting
Improving the resident–tourist relationship in urban hotspots
High volumes of tourists often pose a threat to tourism and decrease the quality of life for local residents, particularly in attractive urban tourism places. Yet, to date only a few solution-oriented studies have attempted to alleviate the overtourism problems and to improve the resident-tourist relationship. This study aims to present potential solutions, based on data analytics. Combining venue-referenced social media data with topic modelling…
Predictivity of tourism demand data
Ai-based counterfactual reasoning for tourism research
Counterfactual reasoning is a high-level causality-based cognitive approach. • Prior AI tourism research often overlooked potential causal effects in data. • AI-based counterfactual reasoning captures causal effects for tourism big data. • AI-based counterfactual reasoning complements experimental design
Green innovation in events: The Role of Institutional Pressures, Future Orientation, and Past Experience
Green innovation is pivotal to events. However, little is known about how exhibitors manage the challenge of adopting green innovation in the fast-paced and short-oriented events. Drawing upon institutional theory and organisational learning perspective, this study investigates how institutional pressures are linked to exhibitors’ willingness to adopt (WTA) eco-exhibiting via two temporal variables: future orientation (mediator) and past experien…
Peer support and value creation among women entrepreneurs
In resource-constrained environments, where institutional support is scarce, women entrepreneurs often rely on peer support to sustain their ventures. While existing research emphasizes women as beneficiaries of help, this study shifts attention to their active role as help providers. We examine how women entrepreneurs balance providing help with pursuing their own economic survival, exploring the interplay of social and economic value creation. …
Communicating Green Innovation to Online Communities: Evidence from Sports Mega Events
Tourism and event organizers implement green innovation to mitigate the negative environmental impacts they cause. However, how to effectively communicate these green innovations to online communities remains a challenge. Drawing on message framing and construal level theories, we collected 503 tweets and used an exploratory sequential mixed-methods approach to analyze the textual data. First , we conducted abductive coding analysis, identifying …
Internal social capital in restaurants: When Close Relationships Become a Barrier to Knowledge Sharing and Product Enhancement
Social capital is essential for success in tourism and hospitality businesses. Internal social capital develops through positive social relationships at work. Drawing on social capital theory, we investigate how internal social capital shapes knowledge sharing and innovation behaviours in hospitality businesses. We focus on positive and negative effects and draw attention to the tipping point of internal social capital. Results from 523 survey re…
Business (7 works) · Computer Science (7 works) · Marketing (7 works) · Diverse Aspects of Tourism Research (6 works) · Tourism (6 works) · Geography (5 works) · Psychology (5 works) · Digital Marketing and Social Media (4 works) · Social Psychology (4 works) · Advertising (3 works)