Ashutosh Samadhiya, Farheen Naz, Anil Kumar, Jose Arturo Garza-Reyes and Sunil Luthra
Smart manufacturing (SM) capitalizes on big data analytics (BDA) advancements by enhancing current capabilities such as defect identification and enabling supporting capabilities…
Abstract
Purpose
Smart manufacturing (SM) capitalizes on big data analytics (BDA) advancements by enhancing current capabilities such as defect identification and enabling supporting capabilities such as preventive maintenance (PM). The previous literature fails to investigate the comprehensive associations between SM, BDA and PM. Therefore, this study aims to investigate the relationship among SM, BDA and PM.
Design/methodology/approach
The present research implements a multi-analytical PLS-SEM-ANN approach to investigate the relationships among BDA, PM and SM.
Findings
This investigation indicates that BDA is an effective digital technology that positively affects the operations of SM and PM. Furthermore, the results suggest that PM has a positive influence on SM and that it also positively mediates the relationship between BDA and SM, where PM cannot be treated as an auxiliary practice and plays an important role in SM as a primary operation. Furthermore, implementing the BDA enhances the performance of SM and PM.
Originality/value
The role of PM in the context of BDA and SM has been ignored in past research, and this study offers novelty by examining this relationship.
Details
Keywords
Farheen Naz, Ashutosh Samadhiya, Anil Kumar, Jose Arturo Garza-Reyes, Yigit Kazancoglu, Vikas Kumar and Arvind Upadhyay
Using the lens of the natural resource-based view (NRBV) theory, this study investigates the effect of green supply chain management (GSCM) practices such as green manufacturing…
Abstract
Purpose
Using the lens of the natural resource-based view (NRBV) theory, this study investigates the effect of green supply chain management (GSCM) practices such as green manufacturing (GM), eco-design (ED), green purchasing (GP) and investment recovery (IR) on the carbon-neutral supply chain (CNSC) performance of firms through the mediating influence of logistics eco-centricity (LE).
Design/methodology/approach
A conceptual framework that hypothesizes the relationship between GSCM practices, LE and the CNSC performance of firms is developed. Key GSCM practices are then identified using experts’ opinions. Furthermore, we collected responses from logistics companies to validate the conceptual framework using the partial least squares structural equation modeling (PLS-SEM) method.
Findings
Through this study, we found that GSCM practices significantly improve a firm's CNSC performance, and the relationships between GSCM practices and CNSC performance are positively mediated by LE.
Practical implications
The implications of the study suggest that logistics managers can benefit from the findings of this study to comprehend the impact of various GSCM techniques on LE and CNSC from the viewpoint of the NRBV paradigm.
Originality/value
This research provides valuable perspectives for managers and supply chain (SC) practitioners in their quest for sustainable and environmentally responsible SC operations through an extensive and novel analysis of the connection between GSCM practices, LE and CNSC performance.
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Sanjeev Yadav, Tsan-Ming Choi, Anil Kumar, Sunil Luthra and Farheen Naz
In recent years, sustainable supply chain practices (SSCPs), including corporate social responsibility (CSR), have been recognised as important means of developing firms’…
Abstract
Purpose
In recent years, sustainable supply chain practices (SSCPs), including corporate social responsibility (CSR), have been recognised as important means of developing firms’ sustainability performance (SP). However, empirical findings on the SSCP–SP interaction are inconsistent and even contradictory. This research presents a quantitative meta-analysis that aims to uncover SSCP–SP interactions based on the correlations found in previously published empirical studies.
Design/methodology/approach
Based on the main and moderating variables and selection criteria, 64 sample studies were selected after a systematic literature review and meta-analysis.
Findings
The findings confirm a positive correlation (0.438) between SSCP and SP. The results also reveal various critical moderators identified through meta-regression.
Practical implications
This study provides insights for operations managers and policymakers regarding the significance of control variables (e.g. ISO certification, type of economy, innovation approach, data collection method) on the relationship between SSCP and SP for business operations. This research uncovers the impacts of ISO regulations and proposed hypotheses through the lens of the natural resource-based view (NRBV) and institutional-based view (IBV).
Originality/value
This research is unique in that it provides a systematic view of the SSCP–SP interaction, validates the results through a theoretical lens (NRBV and IBV) and generalises the results by evaluating the moderation effects via checking prior literature.
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R. Srilakshmi and Jayabhaskar Muthukuru
The mischievous nodes that defy the standard corrupt the exhibition of good nodes considerably. Therefore, an intrusion discovery mechanism should be included to the mobile ad-hoc…
Abstract
Purpose
The mischievous nodes that defy the standard corrupt the exhibition of good nodes considerably. Therefore, an intrusion discovery mechanism should be included to the mobile ad-hoc network (MANET). In this paper, worm-hole and other destructive malignant attacks are propelled in MANET.
Design/methodology/approach
A wireless ad-hoc network also called as mobile ad-hoc network (MANET) is a gathering of hubs that utilizes a wireless channel to exchange information and coordinate together to establish information exchange among any pair of hubs, without any centralized structure. The security issue is a major difficulty while employing MANETs.
Findings
Consequently, the attacks due to the malicious node activity are detected using Hybrid Reactive Search and Bat (HRSB) mechanism to prevent the mischievous nodes from entering the network beneath the untruthful information. Moreover, the attack detection rate and node energy are predicted for determining the lifetime of the node.
Originality/value
The simulation outcomes of the proposed HRSB technique are evaluated with the prevailing methods. The comparison studies have proven the efficacy of the current research model by attaining high attack detection rate and achieving more network lifetime.