Big Data and Sustainability Innovation

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Author(s): Budi Harsanto (Universitas Padjadjaran, Indonesia)and Egi Arvian Firmansyah (Universiti Brunei Darussalam, Brunei & Universitas Padjadjaran, Indonesia)
Copyright: 2023
Pages: 24
Source title: Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch126

Keywords: Data Analysis and Statistics / Engineering Science Reference / Knowledge Management and Library Science / Machine Learning

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Abstract

Today, big data has become an inseparable part of the advancement of information and communication technology. This is in line with the development of sustainability innovation, which has been developed, particularly in the last decade. The purpose of this article is to understand the development of big data in sustainability innovation. The analysis was carried out using descriptive statistics and co-occurrence analysis on published documents obtained through a systematic search in the Web of Science academic database. According to the findings, there was an increase in publications, particularly beginning around 2014, with contributions from the fields of environmental sciences, science technology, business economics, engineering, and computer sciences. Co-occurrence analysis yields 116 most frequently occurring keywords, which are divided into six clusters. This article contributes to a better understanding of the role of big data in fostering more sustainable innovation in business and society.

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