Understanding the key determinants of IoT adoption for the digital transformation of the food and beverage industry

Imran Ali, Mohamed Aboelmaged, Kannan Govindan*, Mohsin Malik

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review


Purpose: Research on the Internet of Things (IoT) has gained momentum in various industry contexts. However, the literature lacks broad empirical evidence on the factors that influence users' intention to adopt this cutting-edge technology, especially in the food and beverage industry (F&BI) – a significant yet unexplored setting. Therefore, the authors aim to extend the “Unified Theory of Acceptance and Use of Technology (UTAUT)” model by coupling it with perceived collaborative advantage, organizational inertia and perceived cost and explore the key determinants of IoT adoption for the digital transformation of the F&BI. Design/methodology/approach: This study employs a cross-sectional quantitative approach, where a sample of 307 usable responses was drawn from the senior managers of the Australian F&BI. Findings: The authors have found that performance expectancy, perceived collaborative advantage, effort expectancy, social influence and facilitating conditions have a strong positive influence on the behavioural intention to adopt IoT for the digital transformation of the F&BI. Furthermore, while high perceived costs and organizational inertia are often considered negative factors in adopting new technology, our results reveal the insignificant influence of these factors on the adoption of IoT, which is interesting. The findings also suggest that age and voluntariness significantly moderate most of the relationships, while gender is an insignificant moderator. Originality/value: The study provides several novel insights into the existing body of knowledge by extending the UTAUT model with three variables and applying it in a unique context.

Original languageEnglish
JournalIndustrial Management and Data Systems
Issue number7
Pages (from-to)1887-1910
Publication statusPublished - 27. Jun 2023


  • Digital transformation
  • Empirical
  • Internet of things
  • IoT
  • Technology adoption


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