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.
TopBackground
Big data utilization has increased rapidly in recent years. Big data, which means huge volumes of data, when utilized carefully can help facilitate the organization in optimizing various business functions. For example, the use of big data can increase agility, which means the company's ability to effectively identify and respond to situations in its environment at speed (Ghasemaghaei et al., 2017). Sivarajah et al., (2017) suggested that big data can provide insight to enhance the decision-making process. these positive impacts can ultimately improve the company's performance, especially financial performance. Recent studies have found that increased profitability and reduced costs can be achieved with the effective use of big data (Dana et al., 2022; Love et al., 2020; Müller et al., 2018; Silva et al., 2019). Müller et al. (2018) using panel data spanning 6 years involving more than 800 companies found that the increase in company productivity as a result of big data and analytics implementation was in the range of 3-7 percent. In a wider perspective, the use of big data also provides benefits for non-commercial usage such as education, smart city, or heritage management (Harsanto, 2021; Ozer et al., 2022; Wang, 2022; D. Zhang et al., 2022).
Key Terms in this Chapter
Co-Occurrence Analysis: An examination of the frequency of occurrence and the strength of the link between specific keywords.
Social Innovation: Innovation aimed not only for profit but also for providing social benefits.
Internet of Things: Physical objects linked together and exchanging data via the internet network.
Web of Science: One of the major multidisciplinary academic databases by Clarivate (formerly Clarivate Analytics, formerly Thomson Reuters).
Eco-Innovation: Innovation aimed not only for profit but also for providing ecological benefits.
Sustainability Innovation: Type of innovation that is a combination of eco-innovation and social innovation, in which the innovation is not only profitable but also provides ecological and/or social benefits.
Innovation Management: Activities of planning, implementing, and controlling innovation within the organization.