Harnessing Information Systems for Sustainable Enterprise Development: A Systematic Literature Network Analysis
ISSN
1865-0929
1865-0937
Publisher
Springer Nature Switzerland
Date Issued
2025
Author(s)
Singh, Rashmi
Tripathi, Saumya
Type
text::book::book part
Abstract
Information Systems (IS) are pivotal enablers of sustainable development, enhancing operational efficiency and resilience in enterprises and supply chains. This study applies a Systematic Literature Network Analysis (SLNA) of 132 peer-reviewed articles to map research trends linking IS and sustainability. Citation Network Analysis identifies three principal research domains: sustainable competitive advantage, environmental sustainability, and sustainable online social communities, alongside emerging domains such as IS in developing countries and sustainable information infrastructures. Main Path Analysis (MPA) traces the intellectual evolution of these areas, revealing how IS integration with firm resources supports competitive differentiation and environmental performance, consistent with the Resource-Based View (RBV). Green IS initiatives mitigate environmental risks and are linked to improved financial outcomes. The study also highlights digital engagement dynamics in sustainable online communities, emphasizing member participation, social interaction, and thematic coherence. Overall, the findings align with the Triple Bottom Line (TBL) framework, demonstrating IS contributions across economic, environmental, and social dimensions of sustainability. These insights inform both academia and practice on aligning digital transformation with sustainability goals. ©The authors ©Springer.
License
Acceso Restringido
How to cite
Ranjan, R., Singh, R., Tripathi, S. (2025). Harnessing Information Systems for Sustainable Enterprise Development: A Systematic Literature Network Analysis. In: Mirzazadeh, A., Molamohamadi, Z., Erdebilli, B., Babaee Tirkolaee, E., Weber, GW. (eds) Science, Engineering Management and Information Technology. SEMIT 2025. Communications in Computer and Information Science, vol 2652. Springer, Cham. https://doi.org/10.1007/978-3-032-04228-6_7