Most Recent Additions*
Trust and Social Licence Challenges in Oyu Tolgoi’s Engagement with Local Communities in Mongolia
Anudari Enkhbayar
The Role of Leadership Communication in Shaping Employee Engagement: A Case Study of SuperValu Talbot Street, Dublin
Elizabeth Montserrat Ibarra Arteaga
The Efficiency-Empathy Paradox
Francisco Javier Gorigoitia Manzanera
The Direct Impact of the 2026 Tariff Hikes on the Cost of Living for Mexican Consumers
Alexia Sarai Alvarez Sanchez
Technology Adoption Risk in a Mongolian Precast Concrete Manufacturer Operating in an Emerging Market
Tselmeg Enkhtuvshin
Reliance Retail (AJIO): Digital Payment Trust, Perceived Cybersecurity, and Indian Consumers’ Intention to Shop Cross-Border Online
Mohammed Amer Ahmed
Member Engagement and Retention Challenges in the Latin Cycling Club Dublin
Sarideth Ailin Solis Lopez
Key factors influencing consumer booking decisions on Booking.com, and the role of trust in online reviews
Deisiane Soares
Exploring the Challenges Faced By Home Care Workers in Dublin
Camila Melo dos Santos
Cross-Cultural Communication Challenges in Multicultural Hospitality Teams: A Case Study of the Arlington Hotel, Dublin
Lorrana Rosendo da Silva
Country-of-origin cues and Indian consumers’ skincare purchase intention: A research proposal for Reliance Retail’s Tira Beauty
Mohammed Ismail Shareef
The Impact of Multicultural Staff on Service Performance and Customer Loyalty: Evidence from a Dublin Beauty Spa
Paulina Veronica Flores Lopez
Analysis of Employee Retention in the Irish Hospitality Sector
Ali Okan Yazicioglu
Adapting International Marketing Strategies to Local Markets: A Case Study of Zambrero in Ireland
Júlia Megale Freitas Pimenta
Predictive Analytics for Optimising Delivery Performance in Supply Chain Management
Vishwanath Sai Krishna Teja
Balancing Accuracy and Discovery: A Bias-Aware Evaluation Framework for Music Recommendation
Jose Luis Maidana
Understanding Host Behaviour and Property Review Characteristics Using New York City Airbnb Dataset
Anna Szkwara
Predicting the Next Recession with Machine Learning
David Heffernan
*Updated as of 10/26/26.