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Information Systems - 14th European, Mediterranean, and Middle Eastern Conference, EMCIS 2017, Coimbra, Portugal, September 7-8, 2017, Proceedings (Paperback, 1st ed. 2017) Loot Price: R1,639
Discovery Miles 16 390
Information Systems - 14th European, Mediterranean, and Middle Eastern Conference, EMCIS 2017, Coimbra, Portugal, September...

Information Systems - 14th European, Mediterranean, and Middle Eastern Conference, EMCIS 2017, Coimbra, Portugal, September 7-8, 2017, Proceedings (Paperback, 1st ed. 2017)

Marinos Themistocleous, Vincenzo Morabito

Series: Lecture Notes in Business Information Processing, 299

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Loot Price R1,639 Discovery Miles 16 390 | Repayment Terms: R154 pm x 12*

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This book constitutes selected papers from the 14th European, Mediterranean, and Middle Eastern Conference, EMCIS 2017, held in Coimbra, Portugal, in September 2017. EMCIS is focusing on approaches that facilitate the identification of innovative research of significant relevance to the IS discipline following sound research methodologies that lead to results of measurable impact. The 37 full and 16 short papers presented in this volume were carefully reviewed and selected from a total of 106 submissions. They are organized in sections on big data and Semantic Web; digital services, social media and digital collaboration; e-government; healthcare information systems; information systems security and information privacy protection; IT governance; and management and organizational issues in information systems.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Lecture Notes in Business Information Processing, 299
Release date: August 2017
First published: 2017
Editors: Marinos Themistocleous • Vincenzo Morabito
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 680
Edition: 1st ed. 2017
ISBN-13: 978-3-319-65929-9
Categories: Books > Business & Economics > Business & management > Business mathematics & systems > General
Books > Computing & IT > Applications of computing > Databases > Data mining
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LSN: 3-319-65929-4
Barcode: 9783319659299

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