Determining the Effectiveness of ‘Cloud Computing’ on Human Resource Management by Structural Equation Modeling (SEM) in Manufacturing Sector of West Bengal, India
Pradip Paul1, Arunangshu Giri2, Satakshi Chatterjee3, Swatee Biswas4

1Dr. Pradip Paul, Senior Manager (Retail Sales), Haldia Divisional Office, Indian Oil Corporation Ltd., Haldia, West Bengal, India.
2Dr. Arunangshu Giri, Associate Professor, School of Management & Social Science, Haldia Institute of Technology, MAKAUT, West Bengal.
3Satakshi Chatterjee, Assistant Professor, Department of Pharmaceutical Management, Haldia Institute of Management, MAKAUT, West Bengal.
4Swatee Biswas, Officer in Charge, Administration Department, Haldia Institute of Management, MAKAUT, West Bengal.

Manuscript received on 02 July 2019 | Revised Manuscript received on 09 July 2019 | Manuscript published on 30 August 2019 | PP: 1937-1942
| Volume-8 Issue-10, August 2019 | Retrieval Number: J92760881019/2019©BEIESP | DOI: 10.35940/ijitee.J9276.0881019

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Abstract: The manufacturing industry is very much crucial for driving the economy of the nation. It has a direct impact on the GDP of any nation and also, it is very beneficial for a country to be strong in the manufacturing industry. This is also the case for a developing nation such as India. Hence, it is imperative for the organization to effectively manage their human resources to optimally utilize them as they are the non-perishable resources of the company. This could be done with the help of CloudComputing which is one of the advanced fields of elastic IT (Information Technology). This technology is continuously gaining momentum as it is relatively easier to use in E-HRM (Electronic-Human Resource Management) and also contains less initial investment. The objective of the study is to identify the factors that have an impact on the effectiveness of Human Resource Management by the help of Cloud computing. Various statistical tools like Exploratory Factor Analysis and Structural Equation Modeling have been executed in this study by SPSS 21 and AMOS 21 software.
Keywords: loud Computing; Manufacturing Industry; Information Technology; Electronic-Human Resource Management
Scope of the Article: Manufacturing IoT