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Betzing, Jan Hendrik: Digitalization of High Street Retail : Design, Development, and Evaluation of a Multi-sided Digital Community Platform. 2019
Inhalt
Preface
Acknowledgements
Contents
List of Figures
List of Tables
List of Abbreviations
Part A
Exposition
Introduction and Motivation
Appendix
Problem Statement and Research Objective
Research Methodology and Design
Structure of the Dissertation
Research Background
Co-Creation of Value in the High Street Ecosystem
Customer Experience and the Customer Journey
Multi-sided Digital Platforms
Design of a Multi-sided Community Platform for High Streets
Descriptive Design Knowledge
Digitalization of the Retailer-Customer Interface
Digital Customer Experience in High Streets
Prescriptive Design Knowledge
Requirements for the Digital Platform
Solution Design Entities
Demonstration and Evaluation
Expository Instantiation
IT Artifact Evaluation
Demonstrated Functionality
Evaluation Results
Fulfillment of Requirements
Prospects for a Virtual High Street Community
Closure
Contributions to Theory and Practice
Outlook
Part B
Interaktive, digitale Einkaufserlebnisse in Innenstädten
Einkaufserlebnisse in Innenstädten im Wandel
Digitale Technologien für den Einzelhandel
Digitale Einkaufserlebnisse
Der innerstädtische Marktplatz als mobile Plattform
Zusammenfassung und Ausblick
New Service Development Through Action Design Research in Joint Research Projects
Introduction
Research Background
Stakeholders and Goals in Joint Research Projects
New Service Development
Action Design Research
NSD Through ADR in Joint Research Projects
The CrowdStrom Case: a Joint Research Project
Step 1: Ramp-up and Proposal Development
Step 2: Early Conception Phase
Step 3: (Actual) Research & Development
Step 4: Dissemination
Demonstrative Application of the Meta-Framework
Discussion, Implications & Reflections
Discussion of Design Decisions
Implications for Project Stakeholders
Limitations
Conclusion
Eliciting Customer Preferences for Shopping Companion Apps: A Service Quality Approach
Introduction
Theoretical Background
Service Quality
Research Model of Mobile App Service Quality
Research Approach
Results
Relevance of MASQ Dimensions
Customer Preferences Regarding Shopping Companion Apps
Discussion
Conclusion and Outlook
In-store Technologies in the Retail Servicescape
Introduction
Research Background
Research Method
Digital Capabilities of In-store Technology
Digital Capabilities in the Shopper-focused Decision Calculus
Discussion and Conclusion
Mirroring E-service for Brick and Mortar Retail: An Assessment and Survey
Introduction
Theoretical Background
Mirroring E-Service Touchpoints for Brick and Mortar Retail
Identification of Dominant E-service Touchpoints
Mirrored E-Service Touchpoints
Assessment of Mirrored E-Service Touchpoints
Survey Research Approach
Survey Results
Discussion, Limitations, and Future Research
Conclusion
Design Principles for Co-Creating Digital Customer Experience in High Street Retail
Introduction
Research Background
Customer Experience Theory
Mobile Technology for Context-Aware Service in Retail
Digital Customer Experience in High Street Retail
Design Principles for Digital Customer Experience Creation
Conclusion
Data-driven Customer Journey Mapping in Local High Streets: A Domain-specific Modeling Language
Introduction
Research Background
Customer Journeys
Related Modeling Approaches
Research Method
A DSML for Online-Offline Customer Journeys
Abstract Syntax
Concrete Syntax / Semantics
Demonstration of Utility and Evaluation of Form and Function
Conceptual Comparison to Related Modeling Approaches
Contribution, Limitations, and Outlook
The Impact of Transparency on Mobile Privacy Decision Making
Introduction
Research Background
Transparency of Personal Data Processing Practices
EU General Data Protection Regulation
Mobile Privacy Decision Making
Method
Results
Descriptive Results
Inferential Results
Qualitative Results
Discussion
Interpretation of Results
Implications for App Service Providers
Limitations
Conclusion
Appendix
Comprehension of the Consequences of Consent Decisions
Identifying Habituation
Submit Times across Conditions
Distribution of Comprehension Performance
Rationales for Deciding on the Location Permission Request
Designing Multi-sided Community Platforms for Local High Street Retail
Introduction
Research Background
Co-Creation of Customer Experience in Service Ecosystems
(Multi-sided) Platforms
Virtual Communities in Retail
Research Method
Design and Implementation of the Community Platform
Actors
Platform Architecture
Platform-Facilitated Interaction
Multi-sided Community Platforms for Local High Street Retail
Contribution and Outlook
Beacon-based Customer Tracking across the High Street: Perspectives for Location-based Smart Services in Retail
Motivation
Research Background
Multi-sided Community Platforms in High Street Retail
Location-based Customer Analytics and Advertising
Research Approach
Customer Data Collection
BLE Beacons on the High Street
Embedding into the Community Platform
Analytical Perspectives on Spatio-temporal Customer Data
Micro-level Perspective
Meso-level Perspective
Macro-level Perspective
Demonstration
Discussion
Conclusion and Outlook
Privacy-friendly User Location Tracking with Smart Devices: The BeaT Prototype
User Location Tracking—Friend or Foe?
Prototypical Design and Implementation
Technology Selection and Setting
The BEAcon Tracking (BeaT) Algorithm
Evaluation and Outlook
Quantifying the Impact of Geospatial Recommendations: A Field Experiment in High Street Retail
Introduction
Theoretical Background
Recommender Systems
Customer Experience and Customer Journeys in High Streets
Research Approach
Geo-Recommendations in High Street Retail
Digitalization of the High Street Ecosystem
Field Experiment with an Instantiated Geo-Recommendation System
Conclusion
One Plug at a Time — Designing a Peer-to-Peer Sharing Service for Charging Electric Vehicles
Infrastructures for Electric Vehicle Charging
Research Approach
The CrowdStrom Business Model and Prototype
Evaluation and Outlook
Customer Participation in Virtual Communities for Local High Streets
Introduction
Research Background and Hypotheses
Virtual Communities in Retail
Participation in Virtual Communities
Research Model and Hypotheses
Research Method
Virtual Community Setting
Measures and Questionnaire
Sample and Data Collection
Common Method Variance
Results
Measurement Model
Structural Model
Discussion
Managerial Implications
Limitations and Future Research Directions
Conclusion
Appendix
References