A stitch in time saves nine – A meta-model for real-time prediction of product returns in ERP systems

2021 | European Conference On Information Systems | Citations: 0

Authors: Fuchs, Kevin; Lutz, Oliver

Abstract: The increasing number of product returns and the associated costs force enterpr ... Expand

Abstract: The increasing number of product returns and the associated costs force enterprises to avoid returns before they are even made. Therefore, customers should only submit an order if the return probability is low. Consequently, we designed a generic meta-model for real-time prediction of product returns in ERP systems (RCS). According to the Design Science Research approach, we defined the requirements based on the literature. Our meta-model supports customers with real-time recommendations to adapt their cart based on interactions with the website and ERP data to reduce the return rate. A feedback system evaluates data and gives individual suggestions to influence customers' behaviour. According to the evaluation step, we showed the feasibility of a generic RCS. Next, we integrated the first module of the RCS into a cloud-based ERP system supplier. We conducted a simulation-based evaluation for website adaptions and feature extraction of customer interactions. Collapse

Topics: enterprise resource planning website database system extract transform load process cloud computing

Methods: design science metamodel design principle computational algorithm machine learning

Theories: lemon market theory

A cloud-based Analytics-Platform for user-centric Internet of Things domains – Prototype and Performance Evaluation

2020 | HICSS | Citations: 0

Authors: Zschörnig, Theo; Windolph, Jonah; Wehlitz, Robert; Franczyk, Bogdan

Abstract: Data analytics have the potential to increase the value of data emitted from sma ... Expand

Abstract: Data analytics have the potential to increase the value of data emitted from smart devices in usercentric Internet of Things environments, such as smart home, drastically. In order to allow businesses and end-consumers alike to tap into this potential, appropriate analytics architectures must be present. Current solutions in this field do not tackle all of the diverse challenges and requirements, which were identified in previous research. Specifically, personalized, extensible analytics solutions, which still offer the means to address big data problems are scarce. In this paper, we therefore present an architectural solution, which was specifically designed to address the named challenges. Furthermore, we offer insights into the prototypical implementation of the proposed concept as well as an evaluation of its performance against traditional big data architectures. Collapse

Topics: Apache Spark big data mobile system internet of things Kubernetes

Methods: experiment design artifact descriptive statistic business process modeling literature study

DBL SmartCity: An Open-Source IoT Platform for Managing Large BIM and 3D Geo-Referenced Datasets

2019 | HICSS | Citations: 0

Authors: Kolaric, Sinisˇa; Shelden, Dennis

Abstract: The ‘smart city’ approach has been promoted as an effective way to manage urban ... Expand

Abstract: The ‘smart city’ approach has been promoted as an effective way to manage urban environments. Information and communication technology in general, as well as ‘Internet of Things’ systems in particular, constitute an essential component of all smart city initiatives. However, many past and current smart city implementations place only an insufficient emphasis on the geo-spatial and 3D nature of data. In order to fill this gap, we present DBL SmartCity, an open-source smart city IoT platform that is based on open standards and designed from the ground-up to effectively store, manage, and present large sets of BIM and 3D geo-referenced data. Collapse

Topics: mobile system internet of things open source smart city stream processing

Methods: data modeling design requirement literature study survey design principle