Institution
National Institute of Industrial Engineering
Education•Mumbai, Maharashtra, India•
About: National Institute of Industrial Engineering is a education organization based out in Mumbai, Maharashtra, India. It is known for research contribution in the topics: Supply chain & Context (language use). The organization has 397 authors who have published 835 publications receiving 11665 citations. The organization is also known as: National Institute for Training in Industrial Engineering.
Topics: Supply chain, Context (language use), Supply chain management, Sustainability, Multiple-criteria decision analysis
Papers published on a yearly basis
Papers
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TL;DR: A systematic and extensive review of research that captures the dynamic nature of industry 4.0 has been presented in this article, where 85 papers were classified in five research categories namely conceptual papers on Industry4.0, human-machine interactions, machine-equipment interactions, technologies of Industry 4., and sustainability.
707 citations
TL;DR: Two of the information technology adoption models are integrated to improve predictive power of resulting model and can be used as a guideline to ensure a positive outcome of the cloud computing adoption in organizations.
Abstract: – The purpose of this paper is to integrate TAM model and TOE framework for cloud computing adoption at organizational level. , – A conceptual framework was developed using technological and organizational variables of TOE framework as external variables of TAM model while environmental variables were proposed to have direct impact on cloud computing adoption. A questionnaire was used to collect the data from 280 companies in IT, manufacturing and finance sectors in India. The data were analyzed using exploratory and confirmatory factor analyses. Further, structural equation modeling was used to test the proposed model. , – The study identified relative advantage, compatibility, complexity, organizational readiness, top management commitment, and training and education as important variables for affecting cloud computing adoption using perceived ease of use (PEOU) and perceived usefulness (PU) as mediating variables. Also, competitive pressure and trading partner support were found directly affecting cloud computing adoption intentions. The model explained 62 percent of cloud computing adoption. , – The model can be used as a guideline to ensure a positive outcome of the cloud computing adoption in organizations. It also provides relevant recommendations to achieve conducive implementation environment for cloud computing adoption. , – This study integrates two of the information technology adoption models to improve predictive power of resulting model.
612 citations
TL;DR: In this paper, an outbreak of deadly COVID-19 virus has not only taken the lives of people but also severely crippled the economy. Due to strict lockdown, the manufacturing and logistics activities have been suspended.
Abstract: An outbreak of deadly COVID-19 virus has not only taken the lives of people but also severely crippled the economy. Due to strict lockdown, the manufacturing and logistics activities have been susp...
487 citations
TL;DR: This paper develops, and statistically validates a model for understanding the user perceptions on BT adoption, based on the integration of three adoption theories- technology acceptance model (TAM), technology readiness index (TRI), and the theory of planned behaviour (TPB).
Abstract: Blockchain technology (BT) is expected to bring a revolutionary paradigm shift in the manner the transactions are carried in the supply chains. BT provides better visibility and transparency by rem...
480 citations
TL;DR: The findings from the study suggest that traceability was the most significant reason for BT implementation in ASC followed by auditability, immutability, and provenance, which will help the practitioners to design the strategies forBT implementation in agriculture, creating a real-time data-driven ASC.
471 citations
Authors
Showing all 411 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Manoj Jha | 100 | 791 | 50937 |
| Manoj Kumar Tiwari | 60 | 428 | 15084 |
| Nidhi Bansal | 34 | 168 | 3946 |
| Rakesh D. Raut | 27 | 139 | 2248 |
| Balkrishna E. Narkhede | 23 | 99 | 1576 |
| Bhavin Shah | 23 | 57 | 5092 |
| Sachin S. Kamble | 22 | 94 | 2612 |
| R.P. Mohanty | 21 | 29 | 1430 |
| Makarand S. Kulkarni | 20 | 75 | 1043 |
| Sanjay Sharma | 18 | 45 | 697 |
| Dinesh Seth | 17 | 28 | 1399 |
| Satish Kumar | 16 | 29 | 1006 |
| Sachin Modgil | 14 | 41 | 547 |
| Anju Singh | 14 | 48 | 699 |
| Upasna A. Agarwal | 14 | 43 | 1195 |