Organizational agility enabled by big data analytics: information systems capabilities view

Abstract

PurposeThe current study aims to structure the existing knowledge about organizational agility from the information systems (IS) capabilities view and synthesizes how agility is enabled by big data analytics (BDA).Design/methodology/approachThis study performs a systematic literature review with the lens of IS capabilities view and provides an integrative framework that represents how BDA improves organizational agility through the mediation of IS capabilities.FindingsThis systematic literature review synthesizes what is known and identifies what remains to be further studied with a focus on the relationship between BDA competency and organizational agility, which contributes to academic performance in BDA and agility research communities.Originality/valueDespite a growing body of literature on the relationship between BDA and agility, a consolidated and systematic understanding of how BDA can enable organizational agility is generally missing. Therefore, the current study addresses this gap by proposing an integrative framework that elucidates the processes in which BDA competency leads to agility through the mediation of IS capabilities.

Boundary-spanning search and breakthrough innovation: the moderating role of big data analytics capability

“…Hence, higher big data analytics capability enables firms to reduce the obsolescence risks and acquire updated knowledge. Moreover, big data analytics is positively related to firms' partnering agility (Hyun et al, 2023). Firms with higher big data analytics capability can flexibly leverage the knowledge from their partners, including customers, suppliers, distributors and so on Kumar et al (2021).…”

“…Hence, higher big data analytics capability enables firms to reduce the obsolescence risks and acquire updated knowledge. Moreover, big data analytics is positively related to firms’ partnering agility (Hyun et al. , 2023).…”

“…The continuously advancement of digital transformation generates unprecedented volume, variety and velocity data, namely big data, increasing the demand for data analytics (Nisar et al, 2021). Firms with higher big data analytics capabilities can extract valuable information from large amounts of data sets to capture consumer needs and market trends (Hyun et al, 2023). Such information is vital for firms to leverage the knowledge obtained through boundaryspanning search to create novel insights, identify emerging opportunities, and make informed decisions (Lozada et al, 2023).…”

“…, 2021). Firms with higher big data analytics capabilities can extract valuable information from large amounts of data sets to capture consumer needs and market trends (Hyun et al. , 2023).…”

Aligning restaurants and artificial intelligence computing of food delivery service with product development

“…Real options theory (ROT) is a financial concept originated in the corporate field (Zhang et al , 2022) and is used to evaluate and manage investment decisions by considering the flexibility and strategic options available to decision-makers (Hyun et al , 2023). On the other hand, Kogut and Kulatilaka (2004) provided a theoretical lens for persuasive technology-related investing to support decision-making under uncertain conditions for enterprises.…”