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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.

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.

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.

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.

Technological tools for knowledge management (KM) actively support and enhance knowledge acquisition and sharing in organizations. However, technology for KM has been understudied, especially in terms of disruptive technologies (DTs). There is a need to identify how DTs, which are becoming increasingly important in industry and society, are applied to KM and their impact. This paper aims to examine the current state of technology and DT adoption in KM.

The analysis involves four steps. First, we examine the current status of DT in academia through a keyword co-occurrence network of literature. Second, we analyze the technological convergence (TC) of KM technology through the cooperative patent classification code co-classification analysis of patents. Third, we explore the main topics of KM technologies using BERTopic, and finally, we explore the introduction of DT into KM technologies and suggest potential TC combinations for the future.

KM technologies can be categorized into four main topics (knowledge acquisition, sharing, searching, and transfer), and DT is most often applied to knowledge transfer and acquisition. The DTs that are attracting attention from academia and industry are artificial intelligence, augmented and virtual reality, and blockchain, which have applications in healthcare, supply chain management, and human resource management.

The findings provide useful insights for organizations to build a technology roadmap for KM. They can also improve the rigid mindset of organization employees toward DT adoption and innovation. By adopting a KM system that leverages DT, organizations will be able to manage and operate efficiently and systematically.

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.

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.

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.

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.

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.