Enriching value of big data cooperative assets from a time-horizon perspective

Abstract

Driven by the rise of big data, enterprises urgently need to accurately utilize users' real-time and accumulated information to realize present value and establish long-term advantages, then achieving the sustainable development. Previous works identified value co-created through big data as big data cooperative assets. However, while the mainstream research on this concept has primarily focused on analyzing its features, formation conditions, and influencing factors, particularly from the perspective of time-horizon value, an equally important area-the formation mechanism-has been neglected. To address this gap, this article constructs a classification framework of big data cooperative assets by combining time-horizon aspects with interaction dominators. It then examines the formation mechanisms of data link and data insight value through multi-case analysis. Overall, this research not only provides new perspectives for enriching the theoretical understanding of big data cooperative assets but also suggests useful practical guidelines for innovative interaction between enterprises and users in the age of data competition. In addition, improving the efficiency of realizing the value of big data cooperative assets helps the enterprise to better cope with external risks, such as market changes and policy adjustments, and maintain sound operations, further contributing to build a harmonious society and promote the construction of an ecological civilization.