The value returned by Enterprise Architecture (EA) is being viewed with increasing consideration by researchers and practitioners. They struggle to justify the EA investments made. Quantifying the Enterprise Architecture benefits has always been a challenge because measurements and real value delivered can not often be expressed in simple technical oriented metrics only.In this paper we suggest a multi-perspective framework, based on the concept of Balanced Scorecard (BSC), for providing guidance about where to identify and quantify the value of EA from the perspective of management. A derived methodology is used to localize a few selected Key Performance Indicators (KPI's) for measuring the benefits of Enterprise Architecture that help practitioners to design and implement the suggested framework.

The value returned by Enterprise Architecture (EA) is being viewed with increasing consideration by researchers and practitioners. They struggle to justify the EA investments made. Quantifying the Enterprise Architecture benefits has always been a challenge because measurements and real value delivered can not often be expressed in simple technical oriented metrics only.In this paper we suggest a multi-perspective framework, based on the concept of Balanced Scorecard (BSC), for providing guidance about where to identify and quantify the value of EA from the perspective of management. A derived methodology is used to localize a few selected Key Performance Indicators (KPI's) for measuring the benefits of Enterprise Architecture that help practitioners to design and implement the suggested framework.

The huge amount of content in today's work life brings up new challenges for Business Process Management (BPM). The right content has to be provided at the right time, of the right quality, and at preferably low cost. So far, a remarkable number of software products have been developed for the management of enterprise content. However, there is still a significant lack of knowledge on how to efficiently make use of these systems in a specific organisational context. With this paper, we present a framework, taking a business process perspective on Enterprise Content Management (ECM). Within the framework, different types of content are identified that are relevant in regard to the business processes of a company. For each type of content blueprints are developed that describe how to make use of specific services of ECM systems. In order to implement organisational change, methodical support is provided on how to embed the blueprints into the business processes of a company.

As a result of growing complexities in business processes, information systems, and the technical infrastructure, a key challenge for enterprise architecture management (EAM) is to guide stakeholders from different hierarchical levels with heterogeneous concerns. EA deliverables, such as models or frameworks, are often highly comprehensive and standardized. However, these can hardly be applied without greater adaption. Although the literature selectively covers approaches for tailoring EA deliverables closer to the concerns of affected stakeholders, these approaches are often vague or not very differentiated. In the paper at hand, we aim at introducing a stakeholder perspective to EAM research that considers stakeholder concerns on EAM across hierarchical levels. To this end, we conduct a case study: Our results show homogenous concerns among stakeholders on EA deliverables. In turn, we found different concerns on the role of EAM in applying these deliverables, dependent on the hierarchical level of stakeholders. These findings stress the necessity for a more differentiated understanding of stakeholder concerns on EAM. Finally, we discuss the implications of our findings for an exemplary EAM approach.

Semantic Information Systems (IS) Standards play a critical role in the development of the networked economy. While their importance is undoubted by all stakeholders-such as businesses, policy makers, researchers, developers-the current state of research leaves a number of questions unaddressed. Terminological confusion exists around the notions of business semantics, business-to-business interoperability, and interoperability standards amongst others. And, moreover, a comprehensive understanding about the characteristics of Semantic IS Standards is missing. The paper addresses this gap in literature by developing a characteristics framework for Semantic IS Standards. Two case studies are used to check the applicability of the framework in a real-life context. The framework lays the foundation for future research in an important field of the IS discipline and supports practitioners in their efforts to analyze, compare, and evaluate Semantic IS Standards.

Many information quality initiatives and projects need to demonstrate the potential benefits of their IQrelated activities already in their planning stage. In doing so, practitioners rely on cost estimates based on current non-quality data effects (that are then compared to data quality improvement costs). In producing such estimates on costs caused by low quality data, it is difficult to identify all potential negative monetary effects that are the result of low quality data (as well as all possible costs associated with assuring high quality data and their progression). Consequently, this article reviews and categorizes the potential costs associated with low quality data and examines their progression. This analysis can help practitioners to identify cost saving potentials and argue a more convincing business case of their data quality imitative. For researchers, the proposed classification framework and the cost progression analyses can be helpful to develop quantifiable measures of data quality costs and to prepare – subsequently – benchmarking studies, comparing different cost levels in different organizations. Thus, the paper contributes elements of a future cost-benefit analysis method for data quality investments.

Shared service centers are a common approach for organizing IT service provisioning. However, current research reveals little that both consultants and scientists maintain a fragmented understanding of the basic characteristics of SSCs and their different variations. From SSCs with free access to external markets, to SSCs with restricted access or no access to external markets, many facets of the SSC require further clarification. Other criteria such as legal form, organizational structure, and accounting approach vary across different departments. The general elements describing SSCs are extracted from literature and show a common understanding. Based on material gathered during focus groups and extensive case studies in 7 SSCs from Europe and North America, our study extracts typical SSC characteristics, as well as their distinctive attributes, and designs a classification grid. This framework is used to classify three typical profiles that have been identified.

The recent profusion of smartphones in the mobile industry offers new opportunities for mobile services vendors. One of the most influenced service categories is location-based services (LBS). Based on insights from behavioural decision-making, a theoretical framework is developed to analyse individuals' decisions to use LBS. We focus on the cognitive processes involved in individual decision-making. Our research is based on two studies. First, we investigated the use of LBS through semi-structured interviews of smartphone users. Second, we explored daily LBS use through a study based on diaries. The findings highlight the distinct value dimension in specific contexts of use and the positive experiences of the service as the main drivers of LBS use. Thus, the user decision to use LBS can be described by either a comparative mode based on the value of LBS in relation to other available options, or by an intuitive mode where past experiences trigger the use of heuristics. These modes in turn underscore the positive influences on the continuance of LBS use.