Forthcoming Articles

International Journal of Networking and Virtual Organisations

International Journal of Networking and Virtual Organisations (IJNVO)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Networking and Virtual Organisations (4 papers in press)

Regular Issues

  • Efficient Call Admission Control in LTE Networks with Cascade Feed Forward Network   Order a copy of this article
    by Vaishali 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 recognized 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 444058bps, cell power of 54.267dBm, delay of 0.081sec, 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; Call admission control (CAC); Quality-of-Service (QoS); Deep learning (DL); Feed Forward network (FFN).
    DOI: 10.1504/IJNVO.2025.10070016
     
  • Networks between Industry Academia: a Statistical Approach based on India   Order a copy of this article
    by Kiran Kakade, Raj Kumar Rajak, Ameya Patil, Pooja Thorat, Jayant Shaligram 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
     
  • From Personality to Connection: the Mediating Role of Tie Strength in HEXACO Traits and Job Networking Behaviour   Order a copy of this article
    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 3month-lagged 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
     
  • Social Media for Climate Action in Developing Countries   Order a copy of this article
    by Kiran Kakade, Chandrakant Varma, Urmila Sandesh Sonavane, Jaya Chitranshi, Jayant Shaligram Brahmane, Shilpa 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; HEIs.
    DOI: 10.1504/IJNVO.2025.10073092