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.

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.

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.

• Determining Information Value
• Data and Information Quality
• Specifying and Measuring the Benefits from Information
• Information Value Chains
• Information Manufacture and Information Product
• 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
• IVM Maturity Models
• IVM Capabilities
• IT Governance and IVM
• Management Approaches for IVM
• Change Management and IVM