The role of organizational culture and voluntariness in the adoption of artificial intelligence for disaster relief operations

Abhishek Behl, Meena Chavan, Kokil Jain, Isha Sharma, Vijay Edward Pereira*, Justin Zuopeng Zhang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)
4 Downloads (Pure)


Purpose: The study explores the readiness of government agencies to adopt artificial intelligence (AI) to improve the efficiency of disaster relief operations (DRO). For understanding the behavior of state-level and national-level government agencies involved in DRO, this study grounds its theoretical arguments on the civic voluntarism model (CVM) and the unified theory of acceptance and use of technology (UTAUT).

Design/methodology/approach: We collected the primary data for this study from government agencies involved in DRO in India. To test the proposed theoretical model, we administered an online survey questionnaire to 184 government agency employees. To test the hypotheses, we employed partial least squares structural equation modeling (PLS-SEM).

Findings: Our findings confirm that resources (time, money and skills) significantly influence the behavioral intentions related to the adoption of AI tools for DRO. Additionally, we identified that the behavioral intentions positively translate into the actual adoption of AI tools.

Research limitations/implications: Our study provides a unique viewpoint suited to understand the context of the adoption of AI in a governmental context. Companies often strive to invest in state-of-the-art technologies, but it is important to understand how government bodies involved in DRO strategize to adopt AI to improve efficiency. 

Originality/value: Our study offers a fresh perspective in understanding how the organizational culture and perspectives of government officials influence their inclinations to adopt AI for DRO. Additionally, it offers a multidimensional perspective by integrating the theoretical frameworks of CVM and UTAUT for a greater understanding of the adoption and deployment of AI tools with organizational culture and voluntariness as critical moderators.

Original languageEnglish
Pages (from-to)569-586
Number of pages18
JournalInternational Journal of Manpower
Issue number2
Early online date5 Jul 2021
Publication statusPublished - 24 May 2022


  • Artificial intelligence
  • Behavior
  • Disaster relief operations
  • Organizational culture
  • Voluntariness


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