International Journal of Enterprise Network Management (7 papers in press)

Regular Issues

• A Relative Entropy-Based Feature Selection and Failure Prognosis using Ensemble Learning  
  by Navin M, Parthiban Palanisamy 
  Abstract: To study the digital marketing strategies of enterprises under the background of low-carbon economy, this paper proposes a fuzzy neural network to evaluate the digital marketing of enterprises. Evaluation is the foundation for ensuring the effective operation of enterprise work methods. Scientific, effective, and fair evaluation can stimulate the enthusiasm of enterprises. On the other hand, it can also improve the digital marketing performance of enterprises. The experimental results showed that 68 people believed shopping was very convenient under traditional marketing, while 160 people believed shopping was very convenient under digital marketing. Only 55 people believed that the service quality of traditional marketing was high, but 189 people believed that the service quality of digital marketing was high. It can be seen that under digital marketing, not only is shopping convenient, but people are also very satisfied with the service quality of digital marketing.
  Keywords: Neural Network; Feature Engineering; C MAPSS; Ensemble; Remaining Useful life; Failure Prognosis.
  DOI: 10.1504/IJENM.2026.10078810
   
  
• Dynamically Event Triggered Inband Network Telemetry for Overhead Reduction.  
  by Amit Kumar Singh, Mayank Pandey 
  Abstract: In-band network telemetry (INT) is a new network monitoring framework in a programmable data plane using programming protocol-independent packet processors (P4) that allows data packets to collect information about the internal states of networking devices. However, current INT systems monitor every single packet, which creates a lot of unnecessary network traffic due to added INT headers and telemetry metadata from the networking devices, which puts additional strain on the monitoring engine, creating overhead in the network. To address the overhead issues, we introduce dynamically event-triggered INT (DET-INT), a policy-driven monitoring framework that elevates or suppresses telemetry only when operating conditions justify it. DET-INT inserts INT headers, and networking devices add metadata only when important network events are detected, such as congestion, latency spikes, or routing changes, as per the requirements of the applications. This ensures that critical events are captured in real time while significantly reducing network overhead and monitoring costs. Our method eliminates unnecessary data collection, making network monitoring more efficient and scalable. A prototype on Mininet, BMv2 with ONOS, demonstrates that DET-INT minimises the overhead, and when the data packet contains minimum data, then we observe that the packet processing time is also reduced.
  Keywords: Network Telemetry; In-band Network Telemetry; Mininet; P4 programming; BMv2; SDN Controller.
  DOI: 10.1504/IJENM.2027.10079024
   
  
• Inventory financing for SMEs: Conceptual update on the role of logistics service providers  
  by Mauro Vivaldini, Guilherme Ribeiro Vivaldini, Daniel Pascal Kutsch 
  Abstract: Little is known about the inventory financing (IF) service offered by logistics service providers (LSPs), particularly in small and medium-sized enterprises (SMEs). In this regard, the present study updates the literature on the subject and conceptualises how SMEs can benefit from this service offering. The study examines the application of this service modality in logistics and SC theory and confronts it with an exploratory survey conducted among 18 firms that adopt it. The study illustrates and conceptualises how IF is articulated through LSPs, structuring and classifying the understanding of the operational needs that justify this functionality in SMEs. Considering that the need for financing is a reality for these firms, the understanding provided by this study may generate opportunities to improve working capital for these businesses. The analysis confirms that IF is not perceived as a single service but rather as part of a set of integrated services offered by LSPs.
  Keywords: Inventory financing; SMEs; logistics service providers; supply chain financing; financial service provider; 3PL.
  DOI: 10.1504/IJENM.2027.10080043
   
  
• Identification of Malignant Lesions in Mammograms Image using Deep Learning ICNN Model  
  by Sushreeta Tripathy, Tripti Swarnkar, Debasis Gountia, Sambit Kumar Mishra, Chinmaya Kumar Swain, Vijaya Prabhagar M 
  Abstract: In the last two decades, computer-aided detection (CAD) models have been built to help radiologists analyze the screening of mammography (CNN) system has been used, and it has achieved a remarkable outcome in the area of medical image processing (IP) Here, we have proposed an improved convolutional neural network (ICNN) model for lesion identification, categorization, and risk assessment tasks This model will identify normal as well as abnormal lesions present in a mammographic image without any manual support from the radiologist and assist radiologists in giving more precise diagnoses by delivering precise quantitative analysis of suspicious masses The ICNN model sets the state-of-the-art categorization performance of the MIAS images. It has achieved a remarkable accuracy rate of 92.05% in the identification of malignant or normal lesions on a mammogram with 10-fold cross-validation. The proposed model provides a better solution for healthcare systems based on the results.
  Keywords: Breast cancer; Deep learning; Mammographic Image Analysis Society (MIAS); Improved Convolutional Neural Network (ICNN).
  DOI: 10.1504/IJENM.2027.10080758
   
  
• An integrated ISM-MICMAC approach for modelling the key performance indicators of the responsiveness of automotive supply chain  
  by Rinu Sathyan, Parthiban Palanisamy, Ramasamy Dhanalakshmi 
  Abstract: The Indian automotive industry appears to overcome much of its obstacles despite the constant struggle facing COVID-19 The pandemic has resulted in significant improvements in the habits and conduct of consumers.There is an increased preference for personal mobility. This paper aims to identify the key performance indicators (KPIs) to the responsiveness of the Indian automotive supply chain Seventeen enablers were identified from the extensive literature, expert interview for supply chain responsiveness, and an integrated methodology of ISM-MICMAC to establish the interrelationship between the KPIs The ISM model developed a hierarchical structure of the identified KPIs into eight levels.The MICMAC analysis grouped the KPIs into four clusters based on their driving and dependence power. The proposed ISM-MICMAC analysis will be beneficial to the supply chain practitioners and automotive manufacturers to develop management strategies to enhance these key performance indicators.
  Keywords: Responsiveness; Automotive supply chain; ISM; MICMAC.
  DOI: 10.1504/IJENM.2027.10081206
   
  
• Service Quality Assessment of Digital Payment Platforms Using the E-SERVQUAL Model  
  by M. Sai Mohini, Golakh Kumar Behera 
  Abstract: The digital transformation has changed our society and economy. The advances in technology, internet and mobile phones enable the consumers to use more digital platforms than physical platforms. This transformation has resulted in huge growth in the payment industry over the last few years. The study aims to evaluate customer satisfaction (CS) of digital payment services referring to service quality and also to identify the key drivers that influence customer satisfaction by means of digital payment service (DPS). The E-SERVQUAL model was adapted to measure digital payment service quality and its effect on customer satisfaction. The study also tested the association between E-SERVQUAL with DPS and CS. Additionally, the paper evaluates the relationship between DPS and CS with mediating effect of communication channels. The researchers have applied confirmatory factor analysis (CFA) and structural equation modelling (SEM) to analyse the data.
  Keywords: Digital payment; customer satisfaction; E-SERVQUAL; CFA; SEM; Service quality.
  DOI: 10.1504/IJENM.2027.10081207
   
  
• An Integrated Approach for Resolving the Conflict in Supplier Selection  
  by Manikandan Suriyanarayanan, Punniyamoorthy Murugesan 
  Abstract: Supplier selection is a strategic supply chain decision affecting cost, quality, and overall performance. Prior studies show that using Total Cost of Ownership (TCO) and the Analytic Hierarchy Process (AHP) independently often leads to conflicting supplier rankings. To overcome this issue, recent research recommends integrating TCO and AHP within a Data Envelopment Analysis (DEA) framework. Following this approach, the present study develops six distinct TCOAHP combinations, each of which is evaluated using two DEA models with tailored inputoutput variables. The proposed framework enhances traditional DEA by producing precise, consistent, and robust supplier rankings. These integrated configurations effectively resolve ranking ambiguities found in conventional methods and support better strategic sourcing decisions by jointly incorporating qualitative and quantitative factors.
  Keywords: Supplier Selection; Data Envelopment Analysis ; Analytic Hierarchy Process; Multi-Criteria Decision Making ; Total Cost of Ownership.
  DOI: 10.1504/IJENM.2027.10081458