RESUMO
The ever-growing concern of sustainability and survivability attracts academicians and practitioners to develop strategies and supply chain capabilities that cater to the challenges and helps in achieving the sustainability development goals. There is a need to develop a holistic model that facilitates understanding the relationships among supply chain practices, industry 4.0 technologies, and supply chain performance measures. Thus, this study examines the mediating effect of industry 4.0 technologies on supply chain management practices and supply chain performance measures. A survey-based data was collected from manufacturing organizations across India, and 361 complete responses were obtained. Structural equation modeling (SEM) was utilized for data analysis. This study has multiple contributions. First, the results indicate that the supply chain management practices influence the industry 4.0 technologies adoption. Second, the results also revealed that the industry 4.0 technologies significantly positively affect supply chain performance measures. Finally, industry 4.0 technologies mediated the relations between supply chain management practices and supply chain performance measures. Furthermore, the findings offer important insights into understanding the underlying mechanisms in successfully adopting and effectively using industry 4.0 technologies. The implications for theory and practices are also discussed.
Assuntos
Comércio , Indústrias , Índia , Organizações , TecnologiaRESUMO
Blockchain can solve the problems that the agriculture supply chain (ASC) is facing to achieve sustainable growth. In a nation like India, blockchain application in the supply chain is still new; therefore, supply chain players need a better understanding and awareness of blockchain through valuable insights. This article aims to study the mediating role of blockchain technology adoption (BLCT) for sustainable supply chain performance (SSCP). This study investigates the influence of numerous factors such as green and lean practices, supply chain integration, supply chain risk, performance expectancy, top management support, cost, internal and external environmental conditions, regulatory support, and innovation capability on BLCT adoption. A sample of 316 respondents from Indian ASC industries was collected, and structural equation modeling (SEM) was used. This study's outcomes show that green and lean practices, supply chain integration, supply chain risks, internal and external conditions, regulatory support, innovation capability, and cost positively influence BLCT adoption. Moreover, BLCT positively influences sustainable agriculture supply chain performance. This article is valuable for policymakers, managers, service providers, researchers, and academicians to understand the role of factors in influencing BLCT and BLCT's role in improving sustainable supply chain performance (SSCP).
RESUMO
ABSTRACT: This study aims to identify issues plaguing rural India's water supply chain and present a general methodology for the implementation of an IoT-based water distribution and management system in a rural setting. Through the literature review, significant hurdles in the water supply chain of rural India, as well as the potential role of IoT in water supply chain management, were recognized. An implementation plan was proposed to design an IoT-based water distribution and management system with the help of flow meters, ultrasonic sensors, motors, etc. Also, the feasibility of such a system was explored with the help of a use case. This study highlighted that one of the most significant reasons for water scarcity in rural India is the lack of proper infrastructure leading to water resources mismanagement. In the context of our use case, despite adequate availability of physical water for consumption, by the time water is delivered to the consumers, a significant amount of it is wasted due to the lack of an efficient water management system. It was determined that the investment return for the proposed system would break even within three months of installment. This study's results are based on inputs from governmental data collected in the Census report of 2011. As such, the ground level scenario is bound to be comparatively different today. This study is anticipated to guide governmental organizations and policymakers in the formulation of new strategies.
