Author of the publication

Evaluating Technique for Capturing Customer Satisfaction Data in Retail Supply Chain.

, , , and . ICEEG, page 89-95. ACM, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Evaluating Technique for Capturing Customer Satisfaction Data in Retail Supply Chain., , , and . ICEEG, page 89-95. ACM, (2020)Design and Implementation of a Product Recommendation System with Association and Clustering Algorithms., , , , and . CENTERIS/ProjMAN/HCist, page 512-520. Elsevier, (2022)Predictive Analytics for Demand Forecasting - A Comparison of SARIMA and LSTM in Retail SCM., , , and . ISM, volume 200 of Procedia Computer Science, page 993-1003. Elsevier, (2021)Data-Driven Digital Services in the Automotive Industry: Implementation in Practice, Success Factors, and Future Potential., , and . ICEME, page 185-191. ACM, (2022)Applications and Perceptions of Workforce Management Systems for Warehouse Operation - Results and Findings from Expert Interviews., , and . CENTERIS/ProjMAN/HCist, page 255-262. Elsevier, (2022)Search Engine Optimization Meets e-Business - A Theory-based Evaluation: Findability and Usability as Key Success Factors., , , and . DCNET/ICE-B/OPTICS, page 237-250. SciTePress, (2012)The Application of Machine Learning Algorithms in Predicting the Usage of IoT-based Cleaning Dispensers: Machine Learning Algorithms in Predicting the Usage if IoT-based Dispensers., , and . ICEEG, page 188-194. ACM, (2023)Status-Quo of IoT in Supply Chain Management - Applications, Potentials and Challenges in Austria: Status-Quo of IoT in Supply Chain Management., , , and . ICCMB, page 133-138. ACM, (2023)Maintenance Forecasting Model for Geographically Distributed Home Appliances Using Spatial-Temporal Networks., , , and . CENTERIS/ProjMAN/HCist, page 495-503. Elsevier, (2022)Dimensions of Data Analytics in Supply Chain Management: Objectives, Indicators and Data Questions., , , and . ICCMB, page 58-64. ACM, (2021)