The relevance of digital technology and knowledge management (KM) has been increasing continuously owing to their importance in sustainability. However, research on which…
Abstract
Purpose
The relevance of digital technology and knowledge management (KM) has been increasing continuously owing to their importance in sustainability. However, research on which technology leads to collaboration in KM and how it affects sustainability is lacking. Therefore, this study aims to analyze knowledge collaboration management technologies for sustainable growth based on academic literature and technology patents.
Design/methodology/approach
This paper analyzed current technology and academic trends in KM using BERTopic, an artificial intelligence natural language processing model, and proposed future promising candidate technologies and potential application areas in terms of collaboration and sustainability.
Findings
From the textual data of research papers and patents, this paper extracted 10 and 47 major topics, respectively. Moreover, five potential and feasible candidate patents along with their applicable fields were recommended.
Originality/value
The strength of this study is its analysis of the technologies affecting collaboration and sustainability in KM. This paper found that new digital technologies (i.e. artificial intelligence, cloud computing and big data) impact organizations’ KM and have the potential for collaboration. Digital technologies have a positive impact on corporate smartness directly and sustainability and inclusion indirectly. This paper argued that organizations should understand and identify various promising technological factors and apply them to their KM from a collaboration perspective.
Details
Keywords
Jongwon Lee, Jihye Park, Jeong-Yeol Park and Robin M. Back
This study presents a bibliometric analysis of hospitality and tourism literature related to the COVID-19 pandemic, categorizing the pandemic into five phases: inception, growth…
Abstract
Purpose
This study presents a bibliometric analysis of hospitality and tourism literature related to the COVID-19 pandemic, categorizing the pandemic into five phases: inception, growth, maturity, endemic and new normal.
Design/methodology/approach
Using the Web of Science database, 2,485 publications from Q1 and Q2 journals of the SCImago Journal and Country Rank, published from January 2020 to July 2024, were analyzed. Advanced bibliometric techniques, including co-word analysis and structural topic modeling, were employed to trace research trends and theoretical frameworks.
Findings
The study identifies key publications, authors and affiliations. It also highlights evolving research themes across different pandemic phases. The analysis reveals a dynamic shift from immediate impacts to recovery, resilience and sustainability. The study also discusses the diverse theoretical approaches used to understand pandemic-related behaviors, emphasizing the importance of health and risk theories.
Practical implications
Findings point to ways in which businesses may adapt and diversify their business models to be more resilient to future health-related crises. The findings further emphasize the importance of promoting sustainable and responsible tourism practices, as well as supporting employee well-being.
Originality/value
The findings offer valuable insights for future research and practical implications for the hospitality and tourism sectors in preparing for potential future pandemics by reviewing the entire progress of the pandemic.