Forthcoming Articles

International Journal of Collaborative Engineering

International Journal of Collaborative Engineering (IJCE)

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 Articles will not be published until the final proofs are validated by their authors.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 Collaborative Engineering (3 papers in press)

Regular Issues

  • The Preparation and Conductivity of Graphene Polymer Composite Materials   Order a copy of this article
    by Lars Mumtaz 
    Abstract: To improve the comprehensive performance of graphene polymer composites, the preparation and conductivity of graphene polymer composite materials were studied. Mix graphene and polyimide (PI) powder in a specific proportion in ethanol solvent, undergo solid-liquid separation, and dry in an oven. After ball milling, obtain PI/graphene composite particles, and complete material preparation by moulding the composite material. By analysing the conductivity of the material, it can be concluded that as the graphene content gradually increases, the intensity of the two characteristic peaks of PI gradually decreases and eventually disappears in the spectrum. The CV curve has a pair of oxidation-reduction peaks. When adding 0.5wt% graphene, the specific capacitance of the material reaches its maximum, with the lowest electrical resistivity of 1.6
    Keywords: Graphene; Polymer; Composite materials; Preparation; Conductivity; Ball milling; Electrical resistivity; Electrical conductivity.
    DOI: 10.1504/IJCE.2025.10071276
     
  • Study on Core concepts and Practical Strategies of Enterprise Product Network Marketing in the Big Data Era   Order a copy of this article
    by Huixia Duan 
    Abstract: The rise of big data technology enables enterprises to have a more comprehensive understanding of target markets and consumer needs. Therefore, the core concepts and practical strategies of enterprise product network marketing under the background of big data have been studied. Taking precision marketing, data-driven decision-making, technical support and talent assurance, compliance and privacy protection as the core concepts of enterprise product network marketing, and proposing practical strategies for enterprise product network marketing from multiple aspects such as personalised marketing under precise positioning, content marketing and social media utilisation, search engine optimisation and advertising placement, data-driven decision-making and continuous optimisation. The case analysis results show that the maximum coverage rate of enterprise product network marketing data under the application of this strategy is 98.1%, the maximum return on investment is 67.2%, and the average customer satisfaction score is 9.55, indicating that this strategy has high practical application value.
    Keywords: Big data; Enterprise product; Network marketing ; Core concepts; Practical strategies; Precision marketing.
    DOI: 10.1504/IJCE.2025.10077462
     
  • The dynamic game cooperation decision method of cluster related supply chain   Order a copy of this article
    by Zheng Xie 
    Abstract: Construct a dynamic game model for clustered interconnected supply chains in response to the complexity and dynamic competitive environment of the global supply chain network. Firstly, analyse the structural characteristics of clustered supply chain networks and the differences between single core and multi-core organisational models. Secondly, based on the assumptions of technological collaboration and distance attenuation, a dynamic game model for the supply chain is constructed. Once again, investigate the impact of collaborative investment on supply-demand balance and propose a joint investment threshold optimisation strategy. Finally, establish a profit maximisation equation and explore the resource allocation mechanism for vertical collaboration in the supply chain, providing theoretical support for collaborative decision-making in cluster related supply chains. The experimental results show that the Nash equilibrium deviation of our method is stable at 0.05, the network density index fluctuates around 0.1,and the joint decision-making efficiency remains in the high range of 0.92-0.95.
    Keywords: clustered associated supply chain; dynamic game theory; collaborative decision-making; market demand.
    DOI: 10.1504/IJCE.2026.10077993
     

 

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