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3rd International Workshop on Information Value Management - Challenges in an Area of Digitalisation and Big Data - IVM 2017

26 - 29 April, 2017 - Porto, Portugal

In conjunction with the 19th International Conference on Enterprise Information Systems - ICEIS 2017

* CANCELLED *

CO-CHAIRS

Mouzhi Ge
Masaryk University
Czech Republic
 
Brief Bio
Dr. Mouzhi Ge is a Research Fellow at the e-Business and Web Science Research Group in the Universitaet der Bundeswehr Munich in Germany. Before joining Universitaet der Bundeswehr Munich, he had been working as an IT Manager in the Oxbridge Investment Ltd. in UK and as a research scientist in the Technical University Dortmund in Germany. During 2011, he is also a visiting researcher in the University of Milano-Bicocca in Italy. His research interests are mainly focused on data quality management, recommender systems and semantic technologies.
Markus Helfert
Dublin City University
Ireland
 
Brief Bio
Markus Helfert is Director of the Business Informatics Group at Dublin City University, and a Senior Lecturer in Information Systems at the School of Computing, Dublin City University (Ireland). He is senior academic at Lero - The Irish Software Research Centre. He is a research affiliate at The Open Government Institute at Zeppelin University in Germany. His research interests include Information Management, Innovation, Cloud Computing, Service Science, Enterprise Architecture and Open Data and Smart Cities. Currently he advises several small and medium sized Enter prise in relation to Innovation and IT Management. Markus Helfert has authored more than 200+ academic articles, journal and book contributions and has presented his work at international conferences. He is member of international programme committees and reviewer and associate editor of several IS journals. Dr. Helfert has received national and international grants from agencies such as European Union (FP7; H2020), Science Foundation Ireland and Enterprise Ireland. Prior to his appointment at Dublin City University, he held a research position at the Institute of Information Management at the University of St. Gallen. Dr. Helfert holds a PhD from the University of St. Gallen (Switzerland), an MSc from the University of Mannheim (Germany) and a BSc from Napier University in Scotland (UK).

SCOPE

Recent advances in technology such as Internet of Things, Analytics and Big Data lead not only a technology revolution but also offer a magnitude of business benefits. With the arrival of Industry 4.0, the Big Data created within the Internet of Things is so enormous that it cannot be fully processed in conventional databases. Thus new challenges in an area of Digitalisation and Big Data have created opportunities to explore the information value using data analytics. In order to drive the next horizon of operational effectiveness, Big Data solutions are used to optimize business processes and reduce decision-making time etc.. Given the complex nature of the information, Big Data and IoT are demanded to address the interaction and flexibility issues among the new intelligent objects.

By providing increasing access to Data and advanced capabilities to analyse large amounts of data we need to re-examine the value contribution of insights and impacts these technologies offer to business. With this workshop we aim to provide an international forum that explores various business benefits of data and information. Information creates not only value in financial terms but also in terms of operational and strategic advantages. Thus exploring the value of information and its management is crucial to the success of world-leading organizations. The value of information can be determined by its importance to and the impact information has on the business operations such as decision making, strategy development or optimizing supply chains. However, the issue of how to manage the value of information is still challenging and research so far could only address limited aspects. It has been argued that if information result in enhanced business value, the focus needs to shift from project based cost/benefit analysis to managing the overall value creation of information. Furthermore, over the last decade a move from solely technical aspects to a combination of multiple contextual factors such as technology, sector, organizational culture, and management style can be observed. The information systems literature has consistently emphasized the need for alignment of information systems with organizational goals and strategies and its impact on organizational performance. One of the key challenges and subject of continuous debate focuses on how to achieve, measure, increase and manage information and the value it creates to organisations. It has been concern to researchers and management for many years and the difficulty in measuring less tangible benefits has been emphasized.

With this workshop we aim to go beyond traditional IT productivity and cost evaluations; we view information as a crucial asset that creates value to an organizations, and thus needs to be managed accordingly for optimal business value. In this workshop, we aim to provide a platform for discussing approaches, models, results and case studies or experience reports addressing a broad range of issues related to Information Value Management. Research challenges include how to determine the Value of Information and its impact on business performance, managing Data and Information Quality, capturing and maintaining Information Assets, and designing and improving Information Manufacture System.

Papers can include and discuss various research methods and can be based on case studies, quantitative and quantitative methods, design science as well as experimental and simulation. In addition practical oriented research and experience reports are encouraged.

Topics of Interest
Topics of interest include, but are not limited to:

  • Big Data Value
  • Master Data Management
  • Big Data Quality Assessment
  • Determining Information Value
  • Specifying and Measuring the Benefits from Information
  • Data and Information Quality
  • Information Value Chains
  • Optimising Information Value
  • Information Lifecycle Concepts
  • Modelling and Visualising Information Manufacturing Systems
  • Information Risk Management
  • Data Integration and Value Creation
  • Analytical IS and Value Creation

Information Value Management in following areas includes:

  • Industry 4.0
  • Digital Retail
  • Smart Energy
  • Smart Transport
  • Smart Homes
  • Smart Tourism
  • Digital Factory
  • Safety Critical Systems
  • Digital Defense
  • Public Safety and Security

IMPORTANT DATES

Paper Submission: February 23, 2017 (expired)
Authors Notification: March 1, 2017 (expired)
Camera Ready and Registration: March 13, 2017 (expired)

WORKSHOP PROGRAM COMMITTEE

Available soon.

PAPER SUBMISSION

Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.

PUBLICATIONS

After thorough reviewing by the workshop program committee complemented by members of the main conference program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on CD-ROM support.
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/).
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).

SECRETARIAT CONTACTS

ICEIS Workshops - IVM 2017
e-mail: iceis.workshops.secretariat@insticc.org
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