Niraj Kumar Vishwakarma

ORCID: 0000-0003-1011-7117
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About
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Research Areas
  • CRISPR and Genetic Engineering
  • Chromosomal and Genetic Variations
  • Big Data and Business Intelligence
  • Quality Function Deployment in Product Design
  • IoT and Edge/Fog Computing
  • Digital Transformation in Industry
  • Multi-Criteria Decision Making
  • Sustainable Supply Chain Management
  • Plant Virus Research Studies
  • Genetic and Environmental Crop Studies

National Institute of Plant Genome Research
2022-2023

Indian Institute of Technology Jammu
2018-2019

Purpose The aim of this paper is to identify the criteria that are used for vendor or supplier rating, prioritize these based on industry inputs and develop a rating model. data were collected from an Indian start-up working in product development using three-dimensional printing (3DP). Design/methodology/approach Factors importance identified through visits, interacting with experts under consideration, substantiated by extensive review relevant literature. A questionnaire-based survey was...

10.1108/mbe-07-2017-0038 article EN Measuring Business Excellence 2018-08-20

Purpose The technology used by an organization is significantly influenced the organization’s preferred competitive capabilities. Internet of things (IoT) important technology, which implemented most prominent business organizations. purpose this paper to investigate relationship between strategies and IoT architectures organization. Design/methodology/approach This study has been carried out on primary data collected with help a structured questionnaire. have analyzed statistical techniques...

10.1108/bpmj-03-2018-0092 article EN Business Process Management Journal 2019-06-12

Abstract Chickpea is considered recalcitrant to in vitro tissue culture. The Clustered, Regularly Interspaced Short Palindromic Repeats/CRISPR-associated protein 9 (CRISPR/Cas9) based genome editing chickpea can remove the bottleneck of limited genetic variation this cash crop rich nutrients and protein. However, generation stable mutant lines using CRISPR/Cas9 requires efficient highly reproducible transformation approaches. We modified a binary vector pPZP200 by introducing codon-optimized...

10.1101/2022.09.20.508560 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2022-09-20
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