Abstract

Food waste represents a significant sustainability challenge for New Zealand's hospitality sector, with substantial environmental and economic impacts. This study examines the potential of AI-driven information systems to address this issue, analyzing both technological capabilities and organisational adoption barriers. Through a survey of 135 hospitality stakeholders, we identify critical gaps between available AI solutions (including predictive analytics, smart inventory systems, and computer vision waste tracking) and industry implementation. Our findings reveal that while technical solutions exist, adoption is hindered by cost concerns (particularly for SMEs), integration challenges with existing operations, and limited awareness of IS solutions. The paper contributes to IS literature by: (1) evaluating real-world AI applications in waste reduction, (2) analysing the decision-making process for technology adoption in hospitality, and (3) offering actionable recommendations for bridging the implementation gap through targeted pilot programs, stakeholder education initiatives, and policy incentives to align technological innovation with sustainability goals.

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