© 2018

Research and Practical Issues of Enterprise Information Systems

11th IFIP WG 8.9 Working Conference, CONFENIS 2017, Shanghai, China, October 18-20, 2017, Revised Selected Papers

  • A Min Tjoa
  • Li-Rong Zheng
  • Zhuo Zou
  • Maria Raffai
  • Li Da Xu
  • Niina Maarit Novak
Conference proceedings CONFENIS 2017

Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 310)

Table of contents

  1. Front Matter
    Pages I-X
  2. EIS concepts, Theory and Methods

    1. Front Matter
      Pages 1-1
    2. Larisa Bulysheva, Michael Kataev, Natalia Loseva
      Pages 3-11
    3. Congcong Ye, Chun Li, Guoqiang Li, Lihong Jiang, Hongming Cai
      Pages 12-20
    4. Jianshui Bi, Hongming Cai, Bo Zhou, Lihong Jiang
      Pages 21-33
    5. Larisa Bulysheva, Alexander Bulyshev, Michael Kataev
      Pages 34-42
  3. IoT and Emerging Paradigm

    1. Front Matter
      Pages 43-43
    2. Petr Doucek, Antonin Pavlicek, Ladislav Luc
      Pages 45-55
    3. Tomas Lego, Andreas Mladenow, Niina Maarit Novak, Christine Strauss
      Pages 56-66
  4. EIS for Industry 4.0

  5. Big Data Analytics

    1. Front Matter
      Pages 117-117
    2. Antonin Pavlicek, Petr Doucek, Richard Novák, Vlasta Strizova
      Pages 119-131
    3. Yi Liu, Xin Li, Jianxin Wang, Feng Chen, Junyu Wang, Yiwei Shi et al.
      Pages 132-142
    4. K. T. Sridhar
      Pages 143-156
  6. Intelligent Electronics and Systems for Industrial IoT

    1. Front Matter
      Pages 157-157
    2. Behailu Negash, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen
      Pages 159-167

About these proceedings


This book constitutes the refereed proceedings of the 11th IFIP WG 8.9 Working Conference on Research and Practical Issues of Enterprise Information Systems, CONFENIS 2017, held in Shanghai, China, in October 2017.

The 17 full papers presented in this volume were carefully reviewed and selected from 39 submissions. They were organized in topical sections named: EIS concepts, theory and methods; IoT and emerging paradigm; EIS for industry 4.0; big data analytics; and intelligent electronics and systems for industrial IoT.


Computer Science Big Data Business Intelligence Semantic Concepts Ontologies Open Data Security and Privacy Supply Chain Management Customer Relationship Management E-Commerce Decision Support Systems

Editors and affiliations

  1. 1.Vienna University of TechnologyViennaAustria
  2. 2.Fudan UniversityShanghaiChina
  3. 3.Fudan UniversityShanghaiChina
  4. 4.Szechenyi Istvan UniversityGyorHungary
  5. 5.Old Dominion UniversityNorfolkUSA
  6. 6.Vienna University of TechnologyViennaAustria

Bibliographic information