Forthcoming and Online First Articles

International Journal of Knowledge-Based Development

International Journal of Knowledge-Based Development (IJKBD)

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International Journal of Knowledge-Based Development (4 papers in press)

Regular Issues

  • Research on Recommendation Model of Sustainable Innovative Teaching of Chinese as A Foreign Language Based on The Data Mining Algorithm   Order a copy of this article
    by Yingying Zhang, Huiyu Guo 
    Abstract: With the continuous development of teaching Chinese as a foreign language, more teaching methods are combined with network teaching. However, it is difficult for network teaching methods to find ways that suitable for different learners from various teaching resources. Therefore, to help learners obtain appropriate teaching methods from the network teaching platform, the research establishes a network teaching recommendation model for Chinese as a foreign language based on the user’s interest similarity. Three experimental schemes are designed to verify the effect of the proposed model. The experimental results show that the MAE scores of the model in the three schemes are 0.67, 0.7095 and 0.7428 respectively; the MRSE scores are 0.88, 0.9346 and 0.9695 respectively. Thus, the proposed collaborative filtering recommendation algorithm based on user interest similarity migration has good recommendation performance.
    Keywords: Data mining; Transfer learning; Chinese as a foreign language; Teaching innovation; Collaborative filtering.
    DOI: 10.1504/IJKBD.2023.10056110
  • Digitalized Human Needs to Support Intra-organizational Knowledge Sharing among Knowledge Workers   Order a copy of this article
    by Maria Grace Herlina, Karto Iskandar, Randy Hadipoespito 
    Abstract: An organization's success relies more on dynamic knowledge management (KM). A successful knowledge management system is inextricably linked to employee behaviour, namely intra-organizational knowledge sharing. Individual needs significantly influence human behaviour, such as innovation. Most need-based motivation theories make similar assumptions regarding basic needs such as achievement, affiliation, and power. Using the Rasch Model and Structural Equation Modelling (SEM) methodologies, this research transforms human needs into digital form to enhance intra-organizational knowledge sharing among knowledge workers. The study hypothesis employs Structural Equation Modelling (SEM). It indicates that the need for achievement, affiliation, and power influence knowledge sharing significantly, with the strongest significant influence being the need for power. Various ICT tools have recently been developed based on web, mobile, and desktop applications. The study mapped the three categories of motivators based on the appropriate ICT tools for intra-organizational knowledge sharing.
    Keywords: knowledge worker; need of achievement; need of affiliation; need of power; Information Communications Technology; motivation; David C. McClelland needs theory; rasch model; person map.
    DOI: 10.1504/IJKBD.2024.10059942
  • FOA-ESN in tourism demand forecasting from the perspective of sustainable development   Order a copy of this article
    by Xin Yan, Jianlei Han 
    Abstract: Since the turn of the twenty-first century, the tourist sector has grown quickly and contributed significantly to the national economy Tourism is closely related to uncertain factors such as climate, holidays, and emergencies Therefore, accurate forecasting of tourism demand is a necessary step to promote the rational allocation of tourism resources and sustainable development ESN is an algorithm model that can efficiently deal with nonlinear problems Aiming at the randomness of its parameter setting, a hybrid model based on IFOA and ESN was constructed in the experiment The FOA method is first adaptively adjusted in the experiment to enhance its local search functionality and enhance the search efficiency of the algorithm as a whole After that, the improved FOA algorithm is introduced into the ESN algorithm, and the mixed model of IFOA-ESN is obtained The model mainly uses IFOA to obtain the key parameters of ESN, which improves the overall performance. Finally, the simulation results of IFOA-ESN on tourism demand show that the average absolute percentage error (MAPE) and normalised root mean square error (NRMSE) values of IFOA-ESN are 0.40% and 0.61%, respectively, and their prediction accuracy is higher than other models. The predicted results obtained can serve as a reference for resource allocation and related policy decisions in the tourism industry.
    Keywords: FOA; ESN; tourism demand forecast; tourism sustainable development.
    DOI: 10.1504/IJKBD.2024.10060896
  • Exploring the coworking space as an innovation intermediary: a case study in Amsterdam   Order a copy of this article
    by Victor Cabral, Willem Van Winden 
    Abstract: This qualitative study investigates the role of coworking spaces as innovation intermediaries, focusing on a specific case study in Amsterdam. We introduce a comprehensive framework that integrates five key coworking space units and delineates three primary innovation intermediary roles: facilitation, configuring, and brokering. Our research underscores the significance of both online and offline managerial interventions that stimulate social interaction, content configuration by staff and community members, active brokering through community managers, and formal/informal events. These strategic interventions collectively enhance information flows and knowledge exchange among entrepreneurs. This study contributes valuable insights into the mechanisms through which coworking spaces facilitate innovation intermediation in support of entrepreneurial endeavours.
    Keywords: Innovation intermediary; Coworking spaces; Entrepreneurs; Social networks.
    DOI: 10.1504/IJKBD.2024.10062598