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6th International Workshop on Information Value Management - A New Paradigm in an Area of Digitalisation, Big Data and Artificial Intelligence - IVM 2020

5 - 7 May, 2020

In conjunction with the 22nd International Conference on Enterprise Information Systems - ICEIS 2020


CO-CHAIRS

Mouzhi Ge
ECRI, Deggendorf Institute of Technology
Germany
 
Brief Bio
Mouzhi Ge is a Professor for Data Analytics at the Deggendorf Institute of Technology in Germany. He was previously an Associate Professor at the Masaryk University in Czech Republic, where he obtained his Habilitation. He received his Ph.D. from Dublin City University in Ireland. His research is mainly focused on Big Data Analytics, Intelligent Healthcare Systems, Internet of Things and Health-aware Recommender Systems.
Markus Helfert
Innovation Value institute, Maynooth University
Ireland
 
Brief Bio
Markus Helfert is a Professor at Maynooth University, Innovation Value Institute (Ireland) and the Director of the Business Informatics Group at Maynooth University. He is a Principle Investigator at Lero – The Irish Software Research Centre and at the Adapt Research Centre. His research is centred on Digital Service Innovation, Smart Cities and IoT based Smart Environments and includes research areas such as Service Innovation, Intelligent Transportation Systems, Smart Services, Building Information Management, FinTech, Data Value, Enterprise Architecture, Technology Adoption, Analytics, Business Process Management. Prof. Helfert is an expert in Data Governance Standards and is involved in European Standardisation initiatives. He advises small and medium sized Enterprise in relation to Innovation and IT Management. Helfert has received national and international grants from agencies such as European Union (FP7; H2020), Science Foundation Ireland and Enterprise Ireland, was project coordinator on EU projects, and is the Project coordinator of the H2020 Projects: PERFORM on Digital Retail.
Tony O'Brien
Sheffield Hallam University
United Kingdom
 
Brief Bio
Tony O’Brien is a Senior Lecturer in Finance, Accounting and Business Systems at Sheffield Hallam University. His research is centred on Data/Information Quality, Data Governance, Enterprise Resource Planning, Information Systems, Knowledge Management, Change Management, Financial Management, Cybercrime and Smart Cities. He previously worked for over forty years as an accountant engaged in business finance, general management, IT and the management and implementation of Information Systems. He has worked for a number of large organisations including Shell, British Gypsum, British Oxygen, Great Universal Stores and more recently Remploy. He is an associate member of the Institute of Chartered Secretaries and Administrators (ACIS) and holds a Doctor of Business Administration (DBA) from Nottingham Business School and an MBA from Leeds Business School.

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.

IMPORTANT DATES

Paper Submission: March 13, 2020 (expired)
Authors Notification: March 17, 2020 (expired)
Camera Ready and Registration: March 25, 2020 (expired)

WORKSHOP PROGRAM COMMITTEE

Tony O'Brien, Sheffield Hallam University, United Kingdom

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, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital 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).

POST-PUBLICATIONS

The selected papers from the IVM Workshop 2019 will be invited and fast-tracked to submit an extended version to the Special Issue of Information Value Management in the International Journal of Information System Modeling and Design (indexed in Scopus, Web of Science, dblp etc.).

SECRETARIAT CONTACTS

ICEIS Workshops - IVM 2020
e-mail: iceis.secretariat@insticc.org
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