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Titlebook: Digital Economy. Emerging Technologies and Business Innovation; 6th International Co Rim Jallouli,Mohamed Anis Bach Tobji,Gunnar Piho Confe

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書(shū)目名稱Digital Economy. Emerging Technologies and Business Innovation
副標(biāo)題6th International Co
編輯Rim Jallouli,Mohamed Anis Bach Tobji,Gunnar Piho
視頻videohttp://file.papertrans.cn/280/279253/279253.mp4
叢書(shū)名稱Lecture Notes in Business Information Processing
圖書(shū)封面Titlebook: Digital Economy. Emerging Technologies and Business Innovation; 6th International Co Rim Jallouli,Mohamed Anis Bach Tobji,Gunnar Piho Confe
描述This book constitutes the proceedings of the 6th International Conference on Digital Economy, ICDEc 2021. The conference was held during July 15-17, 2021. It was initially planned to take place in Tallin, Estonia, but changed to a virtual event due to the COVID-19 pandemic..The 18 papers presented in this volume were carefully reviewed and selected from 51 submissions. They were organized in topical sections as follows: Digital strategies; virtual communities; digital assets and blockchain technology; artificial intelligence and data science; online education; digital transformation; and augmented reality and IOT..?.
出版日期Conference proceedings 2021
關(guān)鍵詞e-commerce; digital strategies; machine learning; digital transformation; virtual communities; data scien
版次1
doihttps://doi.org/10.1007/978-3-030-92909-1
isbn_softcover978-3-030-92908-4
isbn_ebook978-3-030-92909-1Series ISSN 1865-1348 Series E-ISSN 1865-1356
issn_series 1865-1348
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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https://doi.org/10.1057/9781137428653 The digital divide, especially the digital gender gap, is currently under the European Union policy loupe due to developmental efforts and aspires towards EU-27 lead in a global digital race. The paper explores the share of employed female ICT specialists in the ICT sector’s total employment, aged
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Lecture Notes in Computer Science The model proposed with the experiment implemented proves that AI is a beneficial and convenient tool to predict negotiators’ preference models to be used in offers’ assessment and therefore ensuring optimality of win-win negotiation outcomes. Moreover, it develops a new concept in negotiation, the
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Paulina Tomaszewska,Christoph H. Lampertange markets using the South African Johannesburg Stock Exchange (JSE) and USD/ZAR as a case study. Methodologically, the study applies the Exponential Generalized Autoregressive Conditional Heteroskedastic (EGARCH) model. The study utilizes the data set for the period, 2011 to 2019, a period before
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