-------- Forwarded Message -------- Subject: [AISWorld] CfP: Special Issue on Information Value Management at IJISMD Date: Mon, 04 Mar 2019 14:41:28 +0100 From: Mouzhi Ge mouzhi.ge@mail.muni.cz To: aisworld aisworld@lists.aisnet.org
Special Issue On Information Value Management in the International Journal of Information System Modeling and Design (indexed in Scopus, Web of Science, dblp etc.) https://www.igi-global.com/calls-for-papers-special/international-journal-in...
Submission Due Date 1/Sep./2019
Introduction In this special issue, we aim to provide an international outlet 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 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 results in enhanced business value, the focus needs to shift from project based cost/benefit analysis to managing the overall value creation of information.
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 organizations. It has been concern to researchers and management for many years and the difficulty in measuring less tangible benefits has been emphasized.
Objective With this special issue we aim to go beyond traditional IT productivity and cost evaluations; we view information as a crucial asset that creates value to an organization, and thus needs to be managed accordingly for optimal business value. This special issue aims 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 systems.
Recommended Topics Topics to be discussed in this special issue include (but are not limited to) the following:
• Value in Big Data • Information Value Assessment • Information Manufacture Systems • Information Value Management Framework • Information Asset Management • Information Value Chains • Big Data Quality Management • Specifying and Measuring the Benefits from Information • Data and Information Quality • Information as a Services • Optimizing Information Value • Information Lifecycle • Model and Visualization for Information Manufacturing • Information Risk Management • Master Data Management • Data Integration and Value Co-Creation • Analytical Information Systems and Business Value Creation
Submission Procedure Researchers and practitioners are invited to submit papers for this special theme issue on Information Value Management on or before 01.September.2019. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.
Guest Editors Mouzhi Ge, Masaryk University, Czech Republic Markus Helfert, Dublin City University, Ireland
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