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Big Data Adoption: A Comparative Study of the Indian Manufacturing and Services Sectors

Big Data Adoption: A Comparative Study of the Indian Manufacturing and Services Sectors
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Author(s): Hemlata Gangwar (Pune Institute of Business Management, India)
Copyright: 2022
Pages: 26
Source title: Research Anthology on Big Data Analytics, Architectures, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-3662-2.ch089

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Abstract

This study inspects how big data is comprehended by IT experts and the difficulties that they have in respect to the reception of big data examination. The study also looks into the contributing factors of big data adoption within the manufacturing and services sectors in India. The data were analyzed using exploratory and confirmatory factor analyses, and relevant hypotheses were derived and tested by SEM analysis. The findings revealed that relative advantage, compatibility, complexity, organizational size, top management support, competitive pressure, vendor support, data management, and data privacy are the factors that are important for both industries. Through a comparison of the industries, statistically significant differences between the service and the manufacturing sectors were found; in other words, it has been noted that the relative importance of all factors for big data adoption differs between the industries, with the only exception being its complexity – it was found to be insignificant for the manufacturing sector.

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