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1 – 2 of 2Xuerong Peng, Lian Zhang, Seoki Lee, Wenhao Song and Keyan Shou
This study aims to identify key contributors, research themes, research gaps, and future directions in hospitality innovation by conducting bibliometric and content analyses of…
Abstract
Purpose
This study aims to identify key contributors, research themes, research gaps, and future directions in hospitality innovation by conducting bibliometric and content analyses of peer-reviewed articles in this field.
Design/methodology/approach
A bibliometric analysis was conducted using VOSviewer software on 2,698 peer-reviewed English-language articles retrieved from the Web of Science database, published between 1995 and 2023. Key contributors were identified based on publication volume, citation, and co-citation analysis. Co-occurrence analysis of index keywords and content analysis of influential articles were used to identify research themes.
Findings
The study identified four distinct research themes in hospitality innovation: (1) digital technology adoption primarily among customers, (2) innovation management within hospitality firms, focusing on knowledge management and eco-innovation, (3) service innovation primarily among employees, and (4) business model innovation involving multiple stakeholders. Additionally, the study determined key contributors, highlighted research gaps, and provided suggestions for future research directions.
Originality/value
This study contributes to the existing literature by providing a systematic and in-depth review of hospitality innovation research. It identifies key contributors, research themes, and potential gaps for future research, offering valuable insights for both industry practitioners and scholars.
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Keywords
Sarah Sidani and Rawan Hassoun
This section outlines a framework for incorporating Artificial Intelligence (AI) and digital transformation (DT) into education, focusing on how they can transform teaching…
Abstract
This section outlines a framework for incorporating Artificial Intelligence (AI) and digital transformation (DT) into education, focusing on how they can transform teaching methods, curriculum development, and academic evaluations. It traces the evolution of AI from rule-based systems to learning technologies, highlighting the move toward education and innovative curricula. The framework considers both the benefits of using AI to improve practices and the challenges it brings, such as issues and the potential for creating a digital divide. This balanced perspective is crucial in shaping how DT is adopted in education, promoting a fair educational environment that harnesses the advancements in AI and DT. Aimed at policymakers, administrators, and educators, this section is a road map for navigating the complexities of integrating technology into education, contributing to an adaptable and enriched landscape.
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