International Journal of Networking and Virtual Organisations (7 papers in press)

Regular Issues

• Tennis-assisted teaching assessment technology based on machine learning algorithm  
  by Miaomiao Li 
  Abstract: To excel in table tennis, players must understand both their strengths and weaknesses to develop effective strategies and improve their chances of winning. Previous studies were often limited by incomplete or inaccurate data. To address this, we developed The Intellectual Tactical System in Competitive Table Tennis, which utilises video analysis of competition matches to collect comprehensive data. We proposed a machine learning approach that combines feature selection with association rules to extract meaningful patterns. This study used matches featuring Yun-Ju Lin as case examples, employing the 3S theory speed, spin, and spot for data collection and analysis. By identifying key factors and match contexts, winning strategy models were constructed. The findings can assist Yun-Ju Lin in optimising his training and tactical planning. This approach may also serve as a valuable framework for elite players and coaches aiming to conduct in-depth strategic analysis.
  Keywords: tennis-assisted; Quasi-Experiment;teaching assessment; The Intellectual Tactical System.
  DOI: 10.1504/IJNVO.2025.10074356
   
  
• Building Bridges to Employment: The Mediating Role of Network Size and Tie Strength in Proactive Job Searching  
  by Son-Tung Le 
  Abstract: The study aims to investigate the impact of proactive personality on new graduates networking activity for job searching, as well as how proactive personality affects networking behaviour for job searching via network size and tie strength. In order to do this, the relationships among proactive personality, network size, tie strength, and networking activity are explained using both individual difference theory and social network theory. Using the convenient sampling method, a sample of 773 graduates from various Vietnamese universities was obtained. Analysis of moment structures (AMOS) software was used for data analysis to investigate the mediating effects. Our findings showed that job seekers proactive personalities had a positive effect on their networking behaviour. More crucially, our research revealed that network size and tie strength operate as mediators between proactive personality and networking activity, which underscores the connection between these two factors in job searches. Further discussion is given to the studys theoretical and practical implications.
  Keywords: Proactive Personality; Network Size; Tie Strength; Networking Behavior; Job Search; Individual Difference Theory; Social Network Theory.
  DOI: 10.1504/IJNVO.2025.10074431
   
  
• Social media for climate action in developing countries  
  by Kiran Kakade, Chandrakant Varma, Urmila Sandesh Sonavane, Jaya Chitranshi, Jayant Shaligram Brahmane, Shilpa C. Shinde 
  Abstract: In the Metaverse technology, also known as MVTECH, individuals connect with one another via the use of avatars. This technology creates an immersive virtual environment. With the MVTECH, a lot of opportunities were promised to be made available to a variety of industries, including higher education. A research model was developed by combining the essential elements of the 'unified theory of acceptance and use of technology' (UTAUT) with the variables of 'perceived curiosity' (PC) and 'extraversion' (EXT). 'Effort expectancy' (EE), 'performance expectancy' (PE), 'social influence' (SI), and 'facilitating conditions' (FC) are a few of these components. The information came from an online poll that was sent to 422 kids in Jordan schools. The 'structural equation modelling' (SEM) study showed that students' feelings about the Metaverse were greatly affected by their involvement in PE, FC, and EXT. The PC construct had a big effect on the EE construct.
  Keywords: metaverse; social sustainability; UTAUT; extraversion; curiosity; developing nations; environmental awareness; developing countries.
  DOI: 10.1504/IJNVO.2025.10073092
   
  
• Efficient call admission control in LTE networks with cascade feed forward network  
  by Vaishali Satish Jadhav, Pallavi Vasant Sapkale, Moresh M. Mukhedkar 
  Abstract: This research proposes a cascade feed forward network (Cascade FFN) for the optimal call admission control (CAC) over networks. Initially, the long-term evolution (LTE) network is simulated and the incoming call is recognised as a new call or else handoff call. Likewise, the handoff call is identified by various channel parameters. Finally, the CAC is performed using the Cascade FFN, which is obtained by incorporating the deep feed forward network (DFN) and cascaded deep neuro-fuzzy network (DNFN). After the admission of the new user, number of active users in the individual cell is updated. The simulation is performed based on various parameters and the proposed model has gained throughput of 444058 bps, cell power of 54.267 dBm, delay of 0.081 s, user call drop of 940, call blocking probabilities of handoff and new user as 0.693, and 0.677; and the call dropping probabilities of handoff and new user is 0.733, and 0.740.
  Keywords: long term evolution (LTE) networks; CAC; call admission control; QoS; quality-of-service; DL; deep learning; FFN; feed forward network.
  DOI: 10.1504/IJNVO.2025.10070016
   
  
• From personality to connection: the mediating role of tie strength in HEXACO traits and job networking behaviour  
  by Son-Tung Le 
  Abstract: The HEXACO model and social network theory have been used to investigate the effect of personalities on level of the networking behaviour for finding employment, however, the mechanism explaining the relationships is unknown. The purpose of this research aims to examine the mediating role of tie strength in the relationships between HEXACO personalities and job search networking behaviour. The study applied the quantitative method with the sample of 773 university graduates collected at two points with a 3monthlagged time. Our findings indicate that Honesty-humility, Extraversion, Agreeableness, and Conscientiousness influence positively individuals' tie strength. Our study provides evidence that an individual tends to spend more time networking for stronger ties. The findings also demonstrate that tie strength plays a mediating role in the relationships between Honesty-humility, Extraversion, Conscientiousness, and job search networking behaviour. Implications for mentors, counsellors, and researchers are discussed.
  Keywords: HEXACO traits; tie strength; networking behaviour; job search; individual difference theory; social network theory.
  DOI: 10.1504/IJNVO.2025.10072993
   
  
• Application of particle swarm optimisation in collaborative scheduling of logistics and supply chain  
  by Hongli Liu, Shuang Yang 
  Abstract: Traditional logistics and supply chain scheduling often focus on single-objective optimisation and ignore the complexity of multiple objectives, resulting in inefficiency and difficulty in cost control. This paper applies the particle swarm optimisation algorithm (PSO) to the collaborative scheduling of logistics and supply chain to improve transportation efficiency. This paper uses PSO to model logistics and supply chain scheduling problems, studies vehicle routing problems, and comprehensively considers multiple objectives such as transportation cost, inventory cost, and delivery time to optimise logistics transportation routes. Experiments show that after vehicle No. 1 was planned using the PSO algorithm, the transportation time was reduced by 2.1 h, the utilisation rate was as high as 98.2%. This shows that the PSO algorithm has significant advantages in logistics and supply chain collaborative scheduling, can effectively perform multi-objective optimisation, and has fast convergence speed and good stability.
  Keywords: logistics and supply chain management; PSO; particle swarm optimisation; collaborative scheduling; production and transportation; vehicle routing problem.
  DOI: 10.1504/IJNVO.2025.10073622
   
  
• Networks between industry academia: a statistical approach based on India  
  by Kiran Kakade, Raj Kumar Rajak, Ameya Patil, Pooja Thorat, Jayant Brahmane, Shilpa C. Shinde 
  Abstract: The National Agricultural Higher Education Project (NAHEP) was made by the Indian Council of Agricultural Research (ICAR) and the World Bank to improve higher education in agriculture in India. In the long run, this will allow farmers to have a better schooling system. The current study was done at national meetings with people from seven State Agricultural Universities (SAUs) across India, as well as people from business and academia. The goal was to improve 'collaboration between academia and industry' by bringing these groups together better. Based on the comments of 199 people from both school and business, the study shows that colleges and businesses need to join right away (p < 0.001). People think that these links will help higher education get better over time. Academic institutions think that these kinds of connections help students by making them more employable, giving them business skills, and giving them cash help.
  Keywords: academia; industry; collaboration; sustainable agricultural education; linkage; policy.
  DOI: 10.1504/IJNVO.2025.10072986