Bhaskar B. Gardas

Orcid: 0000-0002-9651-8087

According to our database1, Bhaskar B. Gardas authored at least 15 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Unlocking factors of digital twins for smart manufacturing: a case of emerging economy.
Int. J. Comput. Integr. Manuf., November, 2024

2023
Mediating role of cloud of things in improving performance of small and medium enterprises in the Indian context.
Ann. Oper. Res., October, 2023

Role of human factors in cloud manufacturing adoption across manufacturing micro, small and medium enterprises.
Int. J. Comput. Integr. Manuf., April, 2023

The contemporary state of big data analytics and artificial intelligence towards intelligent supply chain risk management: a comprehensive review.
Kybernetes, 2023

2022
Cloud computing and human resource management: systematic literature review and future research agenda.
Kybernetes, 2022

Performance evaluation of higher education system amid COVID-19: a threat or an opportunity?
Kybernetes, 2022

Evaluating the Effect of Human Factors on Big Data Analytics and Cloud of Things Adoption in the Manufacturing Micro, Small, and Medium Enterprises.
IT Prof., 2022

Examining smart manufacturing challenges in the context of micro, small and medium enterprises.
Int. J. Comput. Integr. Manuf., 2022

2021
A systematic literature review with bibliometric analysis of big data analytics adoption from period 2014 to 2018.
J. Enterp. Inf. Manag., 2021

The influence of internal-external factors on the cloud computing adoption.
Int. J. Bus. Inf. Syst., 2021

2020
Cloud computing in healthcare - a vision, challenges and future directions.
Int. J. Bus. Inf. Syst., 2020

2019
Factors affecting the adoption of cloud of things.
J. Syst. Inf. Technol., 2019

To identify the determinants of the CloudIoT technologies adoption in the Indian MSMEs: structural equation modelling approach.
Int. J. Bus. Inf. Syst., 2019

2018
Modeling the drivers of post-harvest losses - MCDM approach.
Comput. Electron. Agric., 2018

2017
Understanding and predicting the determinants of cloud computing adoption: A two staged hybrid SEM - Neural networks approach.
Comput. Hum. Behav., 2017


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