Competency rallying processes in virtual organizations

Bernard Katzy, Kevin G Crowston

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Firms face an environment changing at an increasingly rapid pace. Unfortunately, the speed at which organizations can adapt their strategies and competencies to exploit such opportunities remains limited. In this paper we weave together an external perspective on market-facing with an internal perspective on competency development and marshalling to describe the organizational activities necessary for firms to cooperate within a virtual organization. We argue that firms can address their individual limitations through a systematic process that we call "competence rallying," with which they can access market opportunities and additional needed competencies. Specifically, we present a local process theory of how one network of firms reliably engineers and delivers manufacturing projects using an inter-organizational process that works to meet short-term market opportunities. Our theory is grounded in the experiences of the Virtuelle Fabrik project, an organized network for regional cooperation in the manufacturing industry around the Bodensee in Europe. The success of manufacturing projects in a virtual organization is predicated on specific organizational activities in four phases of the competence rallying process: 1) identification and development of competencies, 2) identification and facing of market opportunities, 3) marshalling of competencies, and 4) a short-term cooperative effort.

Original languageEnglish (US)
Title of host publicationIFIP International Federation for Information Processing
Number of pages17
StatePublished - 2007

Publication series

NameIFIP International Federation for Information Processing
ISSN (Print)15715736


ASJC Scopus subject areas

  • Information Systems and Management

Cite this

Katzy, B., & Crowston, K. G. (2007). Competency rallying processes in virtual organizations. In IFIP International Federation for Information Processing (Vol. 236, pp. 67-83). (IFIP International Federation for Information Processing; Vol. 236).