Forthcoming Articles

International Journal of Internet and Enterprise Management

International Journal of Internet and Enterprise Management (IJIEM)

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 Articles will not be published until the final proofs are validated by their authors.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 Internet and Enterprise Management (3 papers in press)

Regular Issues

  • Exploring the interplay between dynamic capabilities and knowledge management: an exploratory study   Order a copy of this article
    by Van Kien Pham, Thuy Dung Pham Thi, Chi Minh Nguyen 
    Abstract: The rapidly evolving nature of today’s business environment underscores the need for dynamic capabilities, allowing firms to adeptly adapt to change. This research aims to fill a void in the current literature by integrating the dynamic capabilities framework with insights from organisational knowledge management. Through our exploratory analysis, we found that the essence of a firm’s competitive advantage hinges on the harmonious interplay between knowledge-based competencies and dynamic capabilities. This synergy is further influenced by the strategic choices made by the firm’s leadership. Our results not only reinforce the resource-based view of competitive advantage but also set the stage for a deeper understanding of the relationship between dynamic capabilities and organisational knowledge management using empirical methods.
    Keywords: knowledge management; dynamic capabilities; business.

  • Enhancing material traceability and efficiency through intelligent centralised system   Order a copy of this article
    by Saibal Kumar Saha, Chithra Anil Kumar 
    Abstract: Efficient material traceability is a critical requirement for sustaining productivity in modern manufacturing and supply chain environments. Traditional spreadsheet-based systems, though widely used, are prone to errors, lack scalability, and fail to provide real-time visibility, often leading to missing materials, retrieval delays, and supplier mismatches. This study addresses these challenges by proposing an intelligent semi-automated centralised desktop application specifically designed for high-reach (HR) rack material management. The system integrates real-time updates, automated data validation, and user-defined access controls to minimise human errors and enhance operational transparency. A user-centric dashboard consolidates key performance indicators such as missing items, SNP mismatches, pick cancels, retrieval times, and supplier inconsistencies, thereby enabling data-driven decision-making. Problem identification was carried out through field observations, interviews with loaders and VNA operators, and analysis of existing spreadsheet records, which highlighted recurring inefficiencies. The developed system directly responds to these pain points by streamlining the picking and put-away processes, reducing redundancies, and providing auditability. Managerial implications include improved accountability, better supplier performance monitoring, and stronger process visibility. The study also identifies limitations related to partial automation and context-specific validation while suggesting future research avenues involving RFID, IoT, and predictive analytics to further strengthen inventory traceability and resilience.
    Keywords: material traceability; HR rack management; centralised systems; operational transparency; inventory efficiency.
    DOI: 10.1504/IJIEM.2026.10077530
     
  • Data analytics in supply chain management: a meta-analytic structural equation modelling   Order a copy of this article
    by Liqiang Chen, Jean A. Pratt, Hans F. Kishel 
    Abstract: This study aims to provide a consolidated view of how data analytics benefits supply chain performance and how this causal relationship is mediated and moderated. We use the meta-analytic structural equation modelling (MASEM) technique to test our research model with hypotheses based on previous empirical findings. We find that data analytics benefit supply chain performance directly and indirectly. There was no moderating effect, directly or indirectly, of either industry sector or selected theories from data analytics on supply chain performance. The MASEM technique provides a new approach to conducting meta-analysis using a path model in IS and operation and supply chain management disciplines. Using previous empirical findings to test the causal relationships in a path model provides a consolidated picture of the theoretical model and clarifies the inconsistent or inconclusive findings from individual empirical studies.
    Keywords: data analytics; business analytics; supply chain management; SCM; business performance; meta-analytic structural equation modelling; MASEM.
    DOI: 10.1504/IJIEM.2026.10077734
     

 

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