Consumer acceptance of halal food traceability systems: a novel integrated approach using modified UTAUT and DeLone & McLean models to promote sustainable food supply chain practices

IF 6.8 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Aries Susanty , Nia Budi Puspitasari , Ferry Jie , Fauzan Akbar Akhsan , Sumunar Jati
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Abstract

With the growing demand for sustainable and transparent food supply chains, consumer awareness of Halal integrity is rising, highlighting the need for a Halal food traceability system to enhance consumer confidence by providing detailed production information. However, the factors influencing consumer acceptance of such systems in Indonesia remain unclear. This study addresses three key objectives: (1) assessing consumer intention to use a Halal food traceability system; (2) exploring the relationships between system quality, information quality, service quality, performance expectancy, effort expectancy, social influence, and trust and consumer behavioural intention; and (3) evaluating the effectiveness of an integrated model combining the modified Unified Theory of Acceptance and Use of Technology (UTAUT) and the DeLone & McLean Information System Success Model (D&M IS Success Model) in understanding consumer intention. This study develops and tests three models through an online survey conducted in 2023, targeting individuals aged 17–42 with a significant interest in Halal food products. The results from 255 respondents indicate a strong interest in adopting the system, with performance expectancy, effort expectancy, social influence, and trust identified as key drivers of consumer intention. These findings offer valuable insights for Halal industry managers to enhance traceability and transparency in the food supply chain, promoting more efficient and ethical food production systems. This research could contribute to clean, green, sustainable, and low-carbon logistics and supply chain management by addressing the increased demand for traceability systems, which help track the Halal status of products and promote various sustainability factors, including process efficiency, waste reduction, and carbon footprint minimization.
消费者对清真食品可追溯性系统的接受:一种使用改进的UTAUT和DeLone & McLean模型来促进可持续食品供应链实践的新型综合方法
随着对可持续和透明食品供应链的需求不断增长,消费者对清真完整性的认识正在提高,强调需要清真食品可追溯系统,通过提供详细的生产信息来增强消费者的信心。然而,影响印尼消费者接受此类系统的因素仍不清楚。本研究涉及三个关键目标:(1)评估消费者使用清真食品可追溯系统的意愿;(2)探索系统质量、信息质量、服务质量、绩效期望、努力期望、社会影响力、信任和消费者行为意愿之间的关系;(3)对改进后的技术接受与使用统一理论(UTAUT)与DeLone &;麦克林信息系统成功模型(D&; mis成功模型)在理解消费者意图中的作用。本研究通过2023年进行的在线调查开发并测试了三种模型,目标是17-42岁对清真食品有浓厚兴趣的个人。255名受访者的调查结果表明,他们对采用该系统有浓厚的兴趣,其中业绩预期、努力预期、社会影响和信任被确定为消费者意向的关键驱动因素。这些发现为清真行业管理者提供了宝贵的见解,以提高食品供应链的可追溯性和透明度,促进更高效和道德的食品生产系统。通过解决对可追溯系统日益增长的需求,该研究可以为清洁、绿色、可持续和低碳的物流和供应链管理做出贡献,可追溯系统有助于跟踪产品的清真状态,并促进各种可持续性因素,包括流程效率、废物减少和碳足迹最小化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
8.60
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0.00%
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