International Journal of Cooperative Information Systems

Nowadays, business collaborations have to be highly dynamic and flexible to allow companies to operate efficiently and effectively in complex and volatile markets. To increase the business agility of service consumers, it is fundamental that service providers enhance the visibility of parts of their collaborative processes. Service providers are required to release both the process structures of the services offered and their status during execution. To further increase the flexibility of business collaborations, certain control over the process execution has to be offered to service consumers. In this paper, we present a framework for the support of process control in cross-organizational settings. We specify the control primitives that can be used to exert control on activities and processes before, during and after their executions. These primitives empower service consumers to postpone activity and process executions, bypass minor activities, repeat their executions, etc. We describe an approach to the support of these control primitives by service providers. We demonstrate the application of our framework with a case study from the healthcare domain. A proof-of-concept prototype implementation based on Web service technology is presented.

In a Peer Data Management System (PDMS), autonomous peers share semantically rich data. For queries to be translated across peers, a peer must provide a mapping to other peers in the PDMS; peers connected by such mappings are called acquaintances. To maximize PDMS query answering performance, a peer needs to optimize its choice of acquaintances. This paper investigates the acquaintance selection problem and introduces a novel framework for performing this acquaintance selection. Our framework includes two selection schemes that effectively and efficiently estimate mapping effectiveness. The "one-shot" scheme clusters peers and estimates the improvement in query answering based on cluster properties. The "two-hop" scheme estimates using locally available information at multiple rounds. Our empirical study shows that both schemes effectively help acquaintance selection and scale to large PDMSs.

Gartner advises that for enterprise architecture development to be successful, it is vital that enterprise architects ensure effective communication and also form virtual teams that create and agree on enterprise architecture content. One of the ways to achieve this is to enforce Collaborative Decision Making (CDM) during enterprise architecture creation. Guided by Design Science, we are developing a method referred to as Collaborative Evaluation of (Enterprise) Architecture Design Alternatives (CEADA) to enable CDM during enterprise architecture creation. The method attempts to resolve challenges in enterprise architecting that are caused by ineffective collaboration between enterprise architects and organizational stakeholders. Requirements for CEADA have been defined based on the causality analysis theory, the generic decision-making process, enterprise architecture frameworks (and literature), and the CDM theory. In addition, Collaboration Engineering has been used to design a collaboration process to address these requirements. Models describing the requirements and the design of the collaboration process, have been evaluated using the analytical, experimental, and observational methods. This paper discusses the implications of findings from these evaluations and presents the validated requirements for realizing CDM in enterprise architecture creation. Thus, this research generally attempts to strengthen enterprise architecting guidelines with collaborative activities, so as to enable effective execution of collaboration-dependent tasks.