Mukesh Kumar Singh and Vikas Gupta
This study aims to empirically analyze the significance of various knowledge management (KM) elements to the environment in a military organization and establish the efficacy of…
Abstract
Purpose
This study aims to empirically analyze the significance of various knowledge management (KM) elements to the environment in a military organization and establish the efficacy of performance indicators of civil organizations for a military organization.
Design/methodology/approach
The research methodology includes the development of a research model based on a comprehensive literature review. A sample of 454 Indian Air Force Veterans was obtained and structural equation modeling (SEM) analysis using statistical package for the social sciences (SPSS) analysis of moment structures (AMOS) was conducted to test the hypotheses. The study first employed exploratory factor analysis (EFA) for redefining the theoretical constructs and then confirmatory factor analysis (CFA) to test the hypotheses.
Findings
The study empirically establishes the significance of various KM elements on the knowledge environment that creates, stores, transfers and applies knowledge to achieve military objectives. Findings indicate the complexity of KM in a military setup while applying the performance measures used in the civil organization.
Research limitations/implications
The study expects to expand the scope of the KM literature to the militaries of developing countries and provide a methodology to the leaders and practitioners in the military organizations, and to study the available KM practices, models and tools in the civil world.
Originality/value
To the best of the authors’ knowledge, the present research is one of the first to generate empirical insights into a knowledge environment in military organizations and test its relation with parameters used in civil organizations. The paper would significantly contribute to the underexplored area of KM in military organizations and infuse a theoretical rigor into the KM literature.
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Mukesh Kumar Singh and Vikas Gupta
Premature departure of highly skilled and experienced soldiers is detrimental to the excellence of a military organisation. The organisation can achieve knowledge superiority over…
Abstract
Purpose
Premature departure of highly skilled and experienced soldiers is detrimental to the excellence of a military organisation. The organisation can achieve knowledge superiority over adversaries, only if it acknowledges the organisation’s critical knowledge and undertakes necessary steps to preserve it. The purpose of this paper is to find out the critical types of knowledge loss in military organisations when a soldier departs.
Design/methodology/approach
This study uses grounded theory methodology with purposive/theoretical sampling of experts from the Indian Air Force, coding and constant comparative analysis to construct different knowledge categories. ATLAS.ti 8 was used for data coding and analysis.
Findings
This paper identifies eight types of knowledge categories in a military organisation and specifies the criticality of each category.
Research limitation/implication
This study has been piloted on a single organisation with a limited number of samples. However, the results can be used in future research on exploring generalisation. This study is unique in providing useful insights into the types of critical knowledge loss in a military organisation. Research infuses theoretical rigour to the knowledge management (KM) literature and provides impetus to study various aspects of KM in a military organisation.
Practical implication
This study provides the first set of guidelines for the leaders in military organisations to develop a KM strategy for knowledge loss. Research lists specific and actionable areas of knowledge for the commanders to act with considerable savings to exchequer, time and effort. The result could be reasonably generalised for other military setups in the world.
Originality/value
This paper is highly innovative and would significantly contribute to the under-explored area of KM in military organisations and the KM literature.
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Mukesh Kumar Singh and Annika Singh
Protection of medical personnel against pathogenic viruses is a challenging task for the world scientific community. The purpose of this paper is to collect, analyze, critique…
Abstract
Purpose
Protection of medical personnel against pathogenic viruses is a challenging task for the world scientific community. The purpose of this paper is to collect, analyze, critique, rearrange and present the scattered information scientifically to form a base for product development for viral protection.
Design/methodology/approach
A huge range of recently available information has been collected, studied and arranged judiciously.
Findings
After an exhaustive study of this topic, it is possible to present all information in a manner that will be helpful to start product development activity on both sides of the Atlantic. Initially, various coated textiles with zero breathability were used to cover doctors, nurses and staff but thereafter microporous coatings replaced the poreless surface coatings. However, the pore size distribution in microporous films and coatings could not be controlled precisely and manufacturers could not claim the surface offered foolproof protection against viruses. Monolithic films are able to claim guaranteed protection against virus penetration, with sufficient breathability. Monolithic film technology has prime importance in protective clothing that has to be discussed judiciously. Permeability of block copolymers based monolithic films is an important feature for barrier materials, high performance impermeable breathable clothing and membrane separation processes.
Originality/value
This is a first paper in the field of viral barrier fabrics which will remain helpful to the scientific community to start further research work and product development.
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Mohammad Haider, Ashok Kumar Jha, Rakesh Raut, Mukesh Kumar and Sudishna Ghoshal
The short/fast-food and perishable food supply chains (PFSC) have similar characteristics of lower lifespan and variable demand, leading to significant waste. However, the global…
Abstract
Purpose
The short/fast-food and perishable food supply chains (PFSC) have similar characteristics of lower lifespan and variable demand, leading to significant waste. However, the global population surge and increased health awareness make it impossible to continue wasting food because it is responsible for the loss of economy, resources, and biodiversity. A sustainable transition in short and PFSC is necessary; thus, addressing challenges is critical to explore the best strategy for redesigning PFSC.
Design/methodology/approach
An extensive literature review helped to identify 40 challenges, while a Delphi study highlighted 21 critical challenges. The fuzzy decision-making trial and evaluation laboratory method establishes a causal relationship between sustainable development (SD) challenges to help redesign PFSC.
Findings
From a strategic development perspective, frequent transportation disruption is the main critical challenge. Lack of supplier reliability is the most substantial cause of independence, with a causal value of 2.878. Overhead costs and lack of green maintenance strategies are part of the performance-oriented challenges. As it belongs to the driving zone, the second quadrant requires control while transforming PFSC for better sustainable development.
Practical implications
The study has several implications, such as lack of supplier reliability and frequent transportation disruption, which have the most robust causal value used as short-term strategy development. For short- and fast-food supply chains, it is necessary to study market and consumer behavior patterns to optimize inventory and customer service. Combating transportation disruption and supplier reliability challenges is vital in both PFSC and short and fast-food supply chains to reduce waste and promote sustainability.
Originality/value
The study’s findings are unique and put value toward the sustainable transition of PFSC by revealing critical challenges and their impact.
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Ravinder Singh, Akshay Katyal, Mukesh Kumar, Kirti Singh and Deepak Bhola
Sonar sensor-based mobile robot mapping is an efficient and low cost technique for the application such as localization, autonomous navigation, SLAM and path planning. In…
Abstract
Purpose
Sonar sensor-based mobile robot mapping is an efficient and low cost technique for the application such as localization, autonomous navigation, SLAM and path planning. In multi-robots system, numbers of sonar sensors are used and the sound waves from sonar are interacting with the sound wave of other sonar causes wave interference. Because of wave interference, the generated sonar grid maps get distorted which resulted in decreasing the reliability of mobile robot’s navigation in the generated grid maps. This research study focus in removing the effect of wave interfaces in the sonar mapping to achieve robust navigation of mobile robot.
Design/methodology/approach
The wrong perception (occupancy grid map) of the environment due to cross talk/wave interference is eliminated by randomized the triggering time of sonar by varying the delay/sleep time of each sonar sensor. A software-based approach randomized triggering technique (RTT) is design in laboratory virtual instrument engineering workbench (LabVIEW) that randomized the triggering time of the sonar sensor to eliminate the effect of wave interference/cross talk when multiple sonar are placed in face-forward directions.
Findings
To check the reliability of the RTT technique, various real-world experiments are perform and it is experimentally obtained that 64.8% improvement in terms of probabilities in the generated occupancy grid map has been attained when compared with the conventional approaches.
Originality/value
This proposed RTT technique maybe implementing for SLAM, reliable autonomous navigation, optimal path planning, efficient robotics vision, consistent multi-robotic system, etc.
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Sarthak Dhingra, Rakesh Raut, Mukesh Kumar and B. Koteswara Rao Naik
This study aims to identify several perspectives that affect the adoption of blockchain technology in India (BCTA) and evaluate their impact. To study the sector’s influence on…
Abstract
Purpose
This study aims to identify several perspectives that affect the adoption of blockchain technology in India (BCTA) and evaluate their impact. To study the sector’s influence on adoption and the impact of BCTA on the performance of the Indian healthcare supply chain (HSCP) using BCTA as a mediating variable.
Design/methodology/approach
In this study, we first developed a conceptual model based on Organizational Information Processing Theory and Technology-Organization-Environment, then formulated hypotheses. Based on this, a questionnaire was developed, and data were gathered from experts in the Indian healthcare industry who were familiar with blockchain technology. AMOS 19 was used to analyze data using structural equation modelling.
Findings
All the factors have a significant positive influence on BCTA. Healthcare supply chain factors influenced the adoption most dominantly, followed by technological, environmental, organizational and record-keeping unit factors. Both the public and private sectors of HSCP benefited significantly from BCTA.
Practical implications
This research work is fruitful for healthcare practitioners, top management, academicians and policymakers in assessing BCTA’s impact on the HSCP.
Originality/value
We have attempted to evaluate the possible BCTA impact on HSCP. BCTA as a mediating variable and considering different perspectives for a holistic view of adoption in the Indian context add to this work’s originality.
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Mukesh Kumar, Joginder Singh, Sunil Kumar and Aakansha
The purpose of this paper is to design and analyze a robust numerical method for a coupled system of singularly perturbed parabolic delay partial differential equations (PDEs).
Abstract
Purpose
The purpose of this paper is to design and analyze a robust numerical method for a coupled system of singularly perturbed parabolic delay partial differential equations (PDEs).
Design/methodology/approach
Some a priori bounds on the regular and layer parts of the solution and their derivatives are derived. Based on these a priori bounds, appropriate layer adapted meshes of Shishkin and generalized Shishkin types are defined in the spatial direction. After that, the problem is discretized using an implicit Euler scheme on a uniform mesh in the time direction and the central difference scheme on layer adapted meshes of Shishkin and generalized Shishkin types in the spatial direction.
Findings
The method is proved to be robust convergent of almost second-order in space and first-order in time. Numerical results are presented to support the theoretical error bounds.
Originality/value
A coupled system of singularly perturbed parabolic delay PDEs is considered and some a priori bounds are derived. A numerical method is developed for the problem, where appropriate layer adapted Shishkin and generalized Shishkin meshes are considered. Error analysis of the method is given for both Shishkin and generalized Shishkin meshes.
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Devarshi Kapil, Rakesh Raut, Kirti Nayal, Mukesh Kumar and Milind M. Akarte
The study aims to provide a comprehensive review of digital twin (DT) literature and examine how various industrial sectors utilize the potential of DT.
Abstract
Purpose
The study aims to provide a comprehensive review of digital twin (DT) literature and examine how various industrial sectors utilize the potential of DT.
Design/methodology/approach
This study’s systematic literature review (SLR) and bibliometric analysis focus on utilizing DT in the supply chain (SC) and its applications across various industries between 2017 and 2024. The use of DT for information management and risk management in SCM, which have been investigated in many sectors, is the primary focus of this article. The article also examines the various digital technologies used in digital twin literature.
Findings
The following are the main conclusions drawn from the research on digital twins and their implementation: Digital twins have been studied to improve visibility, traceability, resilience, risk identification and assessment, information sharing and decision-making in SC of various sectors. According to the literature review, most research was conducted in the manufacturing industry. Also, the integration of DT with digital technologies (like AI, BD, AI, ML and CPS) in SC has been explored less.
Originality/value
A multisectoral examination has been done to identify any needs or requirements and unknown areas of study and make recommendations for future directions for study on the interface between SC and DT.
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Ekaterina Yatskovskaya, Jagjit Singh Srai and Mukesh Kumar
The purpose of this paper is to propose a novel resource availability assessment for supply chain (SC) configuration. This approach involves understanding both local resource…
Abstract
Purpose
The purpose of this paper is to propose a novel resource availability assessment for supply chain (SC) configuration. This approach involves understanding both local resource availability and the demand-side implications of supplying global/regional markets as part of a more holistic SC design activity that incorporates local environmental factors.
Design/methodology/approach
The proposed framework was derived from literature analysis, bridging relevant literature domains – natural capital theory, industrial ecology and SC configuration – in order to develop design rules for future resource-constrained industrial systems. In order to test the proposed framework, an exploratory case study, based on secondary data, was conducted.
Findings
Research findings suggest that this approach might better identify relationships and vulnerabilities between natural resource availability and the viability of regional/global SCs. The research suggests that natural resource availability depends upon three elements – local resource consumption, global resource demand and external environmental factors.
Research limitations/implications
The framework has two main limitations. The current work is focussed on a single industry case study used to exemplify the approach. Second, the framework does not consider other possible industries, which might enter or leave the specific location during the company’s operation. Furthermore, no assessment was made of the migration of populations within the area.
Practical implications
For practitioners, such as those in the agri-food sector, the resource availability assessment framework informs SC configuration design. For policymakers, the research aims to provide policy guidelines, which can help to improve water-saving strategies for a particular region. At a broader societal level, the research raises awareness of resource scarcity amongst industrial players and the wider public.
Originality/value
A resource availability assessment framework has been proposed, suggesting that the dynamics of both global and local resource demand, in conjunction with changing local environmental factors, can over time significantly deteriorate a firm’s natural resource impact on the local environment. Thus, the framework seeks to deliver mechanisms to evaluate potential vulnerabilities and solutions available to firms using a more proactive SC design method and to apply reconfiguration processes that account for natural resources, based primarily on network and resource attributes.
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Mukesh Soni, Nihar Ranjan Nayak, Ashima Kalra, Sheshang Degadwala, Nikhil Kumar Singh and Shweta Singh
The purpose of this paper is to improve the existing paradigm of edge computing to maintain a balanced energy usage.
Abstract
Purpose
The purpose of this paper is to improve the existing paradigm of edge computing to maintain a balanced energy usage.
Design/methodology/approach
The new greedy algorithm is proposed to balance the energy consumption in edge computing.
Findings
The new greedy algorithm can balance energy more efficiently than the random approach by an average of 66.59 percent.
Originality/value
The results are shown in this paper which are better as compared to existing algorithms.