2022
DOI: 10.3390/su14105900
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Integrating Retail into an Urban Data Platform from a Stakeholder Perspective: Network Approaches in Leipzig (Germany)

Abstract: Growth rates in e-commerce, changing consumer behaviors, and COVID-19 have all put pressure on local retailers worldwide, threatening the resilience of city centers. Local online platforms (LOPs) have been considered as a solution to help local retailers increase their visibility and survive on the market. However, most platforms fail to attract a significant number of stakeholders. Simultaneously, digital platform solutions with more holistic urban perspectives, such as urban data platforms (UDPs), have emerg… Show more

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Cited by 2 publications
(2 citation statements)
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“…Policymakers are urged to develop adaptable regulations, prioritize privacy and security, and involve stakeholders. However, the research emphasizes both the imperatives and challenges associated with regulatory compliance and governance frameworks [ [170] , [172] ], including the legal and licensing complexities arising from UDT with partially open data [ 173 ]. Ensuring data privacy and security while collecting and sharing sensitive information in UDT poses ethical and regulatory challenges.…”
Section: Results: Analysis and Synthesismentioning
confidence: 99%
“…Policymakers are urged to develop adaptable regulations, prioritize privacy and security, and involve stakeholders. However, the research emphasizes both the imperatives and challenges associated with regulatory compliance and governance frameworks [ [170] , [172] ], including the legal and licensing complexities arising from UDT with partially open data [ 173 ]. Ensuring data privacy and security while collecting and sharing sensitive information in UDT poses ethical and regulatory challenges.…”
Section: Results: Analysis and Synthesismentioning
confidence: 99%
“…Using the middle-ground architecture of the data, the hierarchical segmentation and horizontal decoupling of the business data of the basic employment system can be completed, and the employment data portal can be separated. The data model of the data layer realizes cross-domain data organization and knowledge accumulation, and the application view and controller realize the construction of data interfaces for data business opening and flexible deployment of front and backend application requirements for data business [11][12][13][14]. The data platform divides data into multiple layers to better manage the data model, which is processed in layers according to data structure specifications and the data model standardizes multiple data and uses multidimensional modeling.…”
Section: Master Data Platform Designmentioning
confidence: 99%