Title |
Innovative Technologies for Enhancing Experiences and Engagement / edited by Azman Ismail, Fatin Nur Zulkipli, Rahimah Mahat, Mohd Amran Mohd Daril, Andreas Öchsner |
|---|---|
Involved |
Azman Ismail (Herausgeber)
Fatin Nur Zulkipli (Herausgeber) Rahimah Mahat (Herausgeber) Mohd Amran Mohd Daril (Herausgeber)
Andreas Öchsner (Herausgeber)
SpringerLink (Online service) (Sonstige) |
Published |
Cham: Springer Nature Switzerland, Imprint: Springer |
Edition |
1st ed. 2024 |
Extent |
Online-Ressource, VIII, 133 p. 33 illus., 25 illus. in color. : online resource. |
Contains |
Systematic Review of Road Traffic Regulation Compliance -- Bibliometrics Analysis on Research Related to Social Media Addiction During the Pandemic Covid-19 -- Integrating a Grounded Theory and a Case Study Concept in Green Logistics -- Automotive Industry Perspectives of Green Skills in the Skill Dimension Towards Sustainability -- Performance of a New Hybrid Conjugate Gradient Method -- Intervention of Modern Ergonomic Design in Ergonomics Risk Assessment Study Among Dentists -- A Review of the Literature on Real-time Location Systems (RTLS) in Manufacturing -- Simulating Covid-19 Disease Spread Using Gama Platform to Determine How Disease Prevention Influences the Infection Rate of the Disease -- Revolutionising the Tourism Industry: The Role of Innovative Technologies in Enhancing Tourist Experiences -- Revolutionizing Supply Chain Processes: Harnessing the Power of IoT and Blockchain Technology to Enhance Opportunities -- Development of a Smart Garbage Monitoring System -- An ExploratoryFactors Analysis Study on Current Value-Added Activities for Customer at Hypermarket During Covid-19" -- A Framework of Material Management for A Construction Project in Tanah Merah -- Development of a Paperless Prototype System for Medical Inventory Management: A Case Study in a Malaysian Hospital -- Development of a Student Loyalty Model for TVET Higher Learning Institution (HLI) with Integration of Service Quality, Corporate Image and Satisfaction Using the PLS-SEM Approach |
ISBN |
978-3-031-55558-9 |
Language |
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Country |
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Topic |
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Subject |
Computational Intelligence. |
DDC notation |
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Series |
SpringerBriefs in Applied Sciences and Technology |
Persistent identifier |
urn:nbn:de:101:1-2404260406506.139729622786 (URN) |
Record ID |
1327565021 |
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