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    <title>EconStor Collection:</title>
    <link>https://hdl.handle.net/10419/169443</link>
    <description />
    <pubDate>Thu, 08 Oct 2026 20:55:22 GMT</pubDate>
    <dc:date>2026-10-08T20:55:22Z</dc:date>
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      <title>EconStor Collection:</title>
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      <link>https://hdl.handle.net/10419/169443</link>
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      <title>Electronic Health Records Prospects in Egypt: A Demand-Side Perspective</title>
      <link>https://hdl.handle.net/10419/169447</link>
      <description>Title: Electronic Health Records Prospects in Egypt: A Demand-Side Perspective
Authors: Badran, Mona Farid
Abstract: The present study sheds light on the expected factors that would impact the Electronic Health Records (EHR) service in Egypt from the demand-side perspective, i.e. the health care consumer. This empirical study is motivated by the widespread use of EHR as a method of promoting health services globally, where it is considered as an efficiency enhancing, cost effective technology. Moreover, the healthcare sector in Egypt is gaining momentum, especially that the comprehensive healthcare and social insurance law are expected to be discussed in the Egyptian Parliament in the near future. The underlying theoretical framework of this study implicates the Unified Theory of Acceptance and Use of Technology in Consumer Context (UTAUT2). It also applies an integrated framework from multifaceted perceptions to explain the expected adoption decision or behavior of the Egyptian consumer of EHR. The study relies on primary data, a survey of 559 respondents. Responses were collected by a telephone-based nationwide survey of respondents who completed college education or above. Their opinions were collected towards the EHR and the best way to apply this system in Egypt. The sample covered urban governorates, Lower Egypt and Upper Egypt, and it was collected in December 2015. Logistic regression results reveal that statistically significant constructs include the following: whether or not EHR is useful, willingness to pay for it, the gender perspective, the person in charge for uploading results, expected difficulties in using EHR, and the interaction term between gender and internet usage. Finally, more insight and recommendations are provided to policy makers.</description>
      <pubDate>Sun, 01 Jan 2017 00:00:00 GMT</pubDate>
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      <dc:date>2017-01-01T00:00:00Z</dc:date>
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      <title>Data Portability on the Internet: An Economic Analysis</title>
      <link>https://hdl.handle.net/10419/169506</link>
      <description>Title: Data Portability on the Internet: An Economic Analysis
Authors: Wohlfarth, Michael
Abstract: Data portability allows users to transfer data from one online service to another service. As data gets increasingly valuable for online services and users alike, and as data portability will be politically enforced within the European Union by the General Data Protection Regulation (GDPR), we develop a game-theoretic model that incorporates the competitive effects arising from a right to data portability. We show, among others, that although data portability is designed to protect users, a right to data portability may hurt customers because new services increase the amount of collected data compared to the case without a right to data portability. However, profits for new services and total surplus unambiguously increase with a right to data portability, improving innovation and service variety. Consequently, policy makers should be aware that the decision to enforce data portability is far more complex than currently realized and should consider the case-specific effects.</description>
      <pubDate>Sun, 01 Jan 2017 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://hdl.handle.net/10419/169506</guid>
      <dc:date>2017-01-01T00:00:00Z</dc:date>
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      <title>Data Network Effects: Implications for Data Business</title>
      <link>https://hdl.handle.net/10419/169484</link>
      <description>Title: Data Network Effects: Implications for Data Business
Authors: Mitomo, Hitoshi
Abstract: This paper aims to investigate the existence of “data network effects” in data platform services such as Big Data, Internet-of-Things (IoT) and Artificial Intelligence (AI) and their influence on the diffusion of the services. It intendsto present a preliminary formal analysis ofthe effects of data network externalities.Policy implications will be discussed in terms of the diffusion of services.</description>
      <pubDate>Sun, 01 Jan 2017 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://hdl.handle.net/10419/169484</guid>
      <dc:date>2017-01-01T00:00:00Z</dc:date>
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      <title>Cost Analysis of a 5G Network with Multi-Tenancy Options</title>
      <link>https://hdl.handle.net/10419/169495</link>
      <description>Title: Cost Analysis of a 5G Network with Multi-Tenancy Options
Authors: Schneir, Juan Rendon; Konstantinou, Kostas; Bradford, Julie; Zimmermann, Gerd; Droste, Heinz; Canto, Rafael; Ajibulu, Ade
Abstract: 5G networks are envisioned to provide consumers and industry with improved transmission performance and advanced communication possibilities. To deliver the promises on ushering fast downloads and low latency, the mobile network operators are called upon for formidable investment in network upgrades, the lion’s share of which is expected to be in the radio access network (RAN). One option for operator investment relief consists in sharing resources, RAN and backhaul, by means of a mobile service provider (MSP) that would have access to the joint infrastructure of multiple infrastructure providers and offer services to its tenants. This article calculates the cost savings via multi-tenancy of a 5G network architecture. The study was performed within 3 boroughs of central London, UK, for the period 2020-2030. The results show cost advantages to operators when using a multi-tenancy scheme compared to incurring the investment severally.</description>
      <pubDate>Sun, 01 Jan 2017 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://hdl.handle.net/10419/169495</guid>
      <dc:date>2017-01-01T00:00:00Z</dc:date>
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