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

Regular Issues

• Divulging the Hidden Layers of Engagement in the Era of Healthcare Knowledge Professionals  
  by Riya Gupta, Rachna Agrawal, Arti Gupta 
  Abstract: Knowledge management is one of the most rationally-directed tasks that needs to be facilitated with expertise. Hence, knowledge workers comprise of the initiators that facilitate the flow of knowledge within the organization. Doctors are the knowledge-carriers that got stuck in the worst scenario of COVID-19 where some of them feel least engaged. The engagement-related issues are still recurring even when the end of pandemic is near. Thus, it is needed to acknowledge that the HRM practices are associated with healthcare knowledge professionals' engagement. However, the increasing instances of falling engagement levels signalled towards a possible scope of variables affecting the relationship. A self-generated technique named as Tri-phased Approach (TPA) has been framed to identify the active variables effective even today. The research recapitulates with a proposed model incorporating the top-ranked moderators and mediators. Henceforth, this study elongates beyond the recognized research gaps to display an agenda for future scope.
  Keywords: Knowledge workers; healthcare sector; healthcare knowledge professionals (HKP); MCDM techniques; employee engagement; HRM practices.
  DOI: 10.1504/IJENM.2026.10076642
   
  
• Psychological factors as drivers of intention to stay: an investigation of millennial employees in the emerging economy  
  by Vimal Babu, Vijaya Prabhagar Murugesan, Amresh Kumar 
  Abstract: Our paper examines the effect of Leader satisfaction, Organizational Commitment, Employee Loyalty, and Senior Management Trust on millennial employees’ Intention to Stay in enterprises amid the 'Great Resignation Era' in the Information Technology industry in India. The study tests the hypothesized relationships between the identified variables and reports on an investigation into the factor structure of intent to stay, using exploratory and confirmatory factor analysis. It evaluates whether or not employees intend to stay with their current organisation. The findings expanded our understanding and lends support to the nomological network of staying factors. Unlike the other three factors, Employee Loyalty was found to be insignificant concerning the Intention to Stay and it has a declining effect on millennial employees in the great resignation era in the post-pandemic. Increased person-organisation fit and conducive work culture for millennials should help firms to arrest waning Employee Loyalty.
  Keywords: emerging economy; great resignation; information technology; Intention to Stay; millennials.
  DOI: 10.1504/IJENM.2026.10076837
   
  
• Empowering Sustainability: the Role of Top Management in ESG-Driven Competitive Advantage  
  by Senthil Arasu Balasubramanian, Prasanna Kumar Motupalli, Pirasad Thirumaran, Nivethitha Santhanam 
  Abstract: The study investigates the influence of Top Management Support (TMS) on Environmental, Social, and Governance (ESG) practices, and the impact of ESG practices on achieving sustained Competitive Advantage. Data were collected from 586 employees working in Indian Public sector energy enterprises through structured online survey. The proposed conceptual model was tested using Partial Least Squares Structural Equation Modelling (PLS-SEM). The findings reveal that TMS significantly and positively influence ESG practices, in turn, exerts a significant positive effect on competitive advantage. The study extends existing ESG literature and provides practical insights for policymakers and managers seeking to align top management commitment with sustainability driven performance outcomes.
  Keywords: Top Management Support; ESG; Competitive Advantage; Resource Based View; Energy Sector.
  DOI: 10.1504/IJENM.2026.10077790
   
  
• Micro Small-Medium Enterprises Collaboration with Self-Help Groups for Sustainable Livelihood in a Developing Economy  
  by T. Siddhartha, C. Ganeshkumar, Nambirajan T. 
  Abstract: The objective of the study is to empirically analyze the Micro, Small and Medium Enterprises (MSME) perception on linkage with Self-Help Groups (SHGs) for sustainable livelihood development. The research constructs were identified from the literature review and the conceptual model was developed. Simple random sampling was used to identify 127 MSME and survey data collected from the executives of the MSME using a well-structured questionnaire to be utilized in the Union Territory of Puducherry region, India; and the statistical package of Smart PLS of structural equation modeling (SEM). The observations of the structural equation model meet four of the five hypothesis about the positive influence of outsourcing attitude on SHG attitude and training facility on attitude outsourcing of MSME and this research has contributed to understanding the attitude towards outsourcing potential and the opportunities that can be utilized by both the MSME and SHG in performing their required tasks.
  Keywords: Collaboration; Self Help Groups; Micro; Small & Medium Enterprises; Survey.
  DOI: 10.1504/IJENM.2026.10078644
   
  
• State of the Art in Prognostics and Health Management: A bibliometric analysis approach  
  by Navin M, Parthiban Palanisamy 
  Abstract: The paper aims to understand the major research trends and patterns in the field of PHM. To achieve the objective, bibliometric analysis is carried out in the research area of “Prognostics and Health Management's using the Scopus database. This study restricted the approaches developed and implemented on a well-established C-MAPSS turbofan engine dataset. The analysis is undertaken on the literature published between 2008 and 2022. In the study, performance metrics say number of publications, total citations, and link strength are extracted using VOSviewer software and SciVal. This study reveals the top 10 most productive and active authors, countries, and major disciplines in the research area. Also analysed the top 15 most active institution, source journal, and highly influential paper. Recent good-performing approaches in the research area are surveyed, collected, and compared the performance metrics RMSE and score value to outline the RUL accuracy achieved on the C-MAPSS dataset.
  Keywords: Prognostics and health management; Predictive maintenance; Remaining useful life (RUL); NASA; C-MAPSS; Bibliometric study.
  DOI: 10.1504/IJENM.2026.10078669
   
  
• 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