29th & 30th September 2024, Jaipur, India
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Important Dates for Paper/Document Submission & Registration
- Paper status share in 2 to 4 working days, after submission
- Registration starts from 25th August
- Conference Date: 29th -30th September- 2024
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| Online Participants | ||
| Indian (RS) | Non Indian (USD) | |
| Scholar | 1800 | 20$ |
| Academic Professional | 2000 | 25$ |
| Industrial Professional | 2000 | 25$ |
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| Offline Participants | ||
| Indian (RS) | Non Indian (USD) | |
| Scholar | 3500 | 70 |
| Academic Professional | 5500 | 100 |
| Industrial Professional | 6000 | 110 |
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Terms and Conditions
- Registration fee is not transferable to any other attendee or meeting.
- The amount mentioned above does not include any travel, accommodation, airport transfers or insurance costs.
- Registration is confirmed only after the receipt of full payment and will be based on the date of receipt of payment.
- Conference kits for delegates registering on-spot will be as per the availability of stocks and on first come first serve basis.
- No refund will be done after registration. Only special cases were resolve by email conversation.
- No Extra charges will be paid for the participant apart from registration.
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A Study On Knowledge Sharing Practices Prevailing In Smart Manufacturing In India
Authors: Manisha Negi, Dr Geeta Rana
Abstract: The Indian manufacturing industry is currently going through the transition towards Smart manufacturing (SM), which is highly important to the industry and its related competitiveness at the global level. As much as technology implementation is a major parameter of interest, human and organizational aspects especially Knowledge Sharing (KS) practices have not been thoroughly studied. KS is the key to using the latest technologies, such as the Internet of Things (IoT), Artificial Intelligence (AI), and big data analytics. This paper examines the current situation of KS practices in Indian SM organizations. Mixed-method approach was used whereby a systematic literature review was conducted together with a cross-sectional survey of 127 professionals working in different Indian manufacturing companies with adoption of SM principles. The questionnaire was used to determine KS enablers, barriers and perceived organizational performance. Statistical tools that were used to analyze data include descriptive statistics and non-parametric tests. Results show that there is strong positive relationship between formal and informal structured KS mechanisms and perceived operational efficiency. Nevertheless, the research also notes such persistent obstacles as hierarchical organization, lack of standardized processes, and generational resistance to online tools. The study concludes that to ensure that Indian manufacturing maximizes its SM investments, the strategic approach that builds on the knowledge-based culture should be voluntary with the proper technology and leadership being the key.
International Journal of Science, Engineering and Technology
