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Paper Type
ERF
Description
In the recent era of “Internet of things” (IoT), giant logistics enterprises achieve their sustainability goals comparatively easier than “Small to Medium Business Entrepreneurs” (SMBEs). Currently, the IoT connected trucks generate massive data such as locations, cabin environmental conditions, vehicle movements, engine status variables, driver behavioral patterns, etc. Large-scale enterprises process this information in real time to maintain green compliance and waste reduction. However, SMBEs often lack resources to afford smart vehicles and tracking systems for critical sustainability parameters to become visible in time, henceforth, failing to comply with green standards. This research proposes a cost effective, lightweight cloud-based enabler i.e., “Green Tracking as a Service” (GTaaS) based on sustainability eco-system, backing the need of such service through case studies conducted in retail markets of Sydney. By performing state and barrier analysis of multiple fresh produce SMBEs, we aim to help them go green, through continuous monitoring and predictive maintenance techniques, implemented via GTaaS.
Paper Number
1452
Recommended Citation
Chaudhry, Maria; Karimi, Faezeh; and Khalilpour, Kaveh, "Enabling Sustainable Logistics for Fresh Produce SMBEs: A Case Study Perspective on Local Retail Markets in Sydney" (2023). AMCIS 2023 Proceedings. 8.
https://aisel.aisnet.org/amcis2023/sig_green/sig_green/8
Enabling Sustainable Logistics for Fresh Produce SMBEs: A Case Study Perspective on Local Retail Markets in Sydney
In the recent era of “Internet of things” (IoT), giant logistics enterprises achieve their sustainability goals comparatively easier than “Small to Medium Business Entrepreneurs” (SMBEs). Currently, the IoT connected trucks generate massive data such as locations, cabin environmental conditions, vehicle movements, engine status variables, driver behavioral patterns, etc. Large-scale enterprises process this information in real time to maintain green compliance and waste reduction. However, SMBEs often lack resources to afford smart vehicles and tracking systems for critical sustainability parameters to become visible in time, henceforth, failing to comply with green standards. This research proposes a cost effective, lightweight cloud-based enabler i.e., “Green Tracking as a Service” (GTaaS) based on sustainability eco-system, backing the need of such service through case studies conducted in retail markets of Sydney. By performing state and barrier analysis of multiple fresh produce SMBEs, we aim to help them go green, through continuous monitoring and predictive maintenance techniques, implemented via GTaaS.
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