Theory-based Analyses of Interorganisational Standards for Self-organising, Adaptive Value Creation Networks

Today many enterprises find themselves in situations of forming new or integrating into existing value creation networks to strengthen their market position and to provide new innovative customer solutions to its customers. Due to their high complexity, effective and efficient value creation networks rely on self-organising and adaptive structures and processes. Information flows amongst business partners and the coordination of these flows by cooperation activities are major design parameters of such networks. Interorganisational standards (IOS) seek to ease information infrastructure design by providing a referential frame. However, practitioners finding themselves in situations of selecting specific standards and thereby deciding against others, so far lack sufficient theoretical guidance in this selection problem. This research informs the IOS selection problem by condensing insights from the body of knowledge from management cybernetics and coordination theory and identifying first requirements to a method guiding IOS choices.

[1]  S. Beer The Brain of the Firm , 1972 .

[2]  C. Antonelli Localized technological change and the evolution of standards as economic institutions , 1994 .

[3]  Ulrich M. Löwer Interorganisational Standards: Managing Web Services Specifications for Flexible Supply Chains , 2005 .

[4]  Carol Stoak Saunders,et al.  Data exchange in interorganizational relationships: review through multiple conceptual lenses , 2005, DATB.

[5]  Marta Indulska,et al.  Candidate interoperability standards: An ontological overlap analysis , 2007, Data Knowl. Eng..

[6]  Marta Indulska,et al.  Ontological evaluation of enterprise systems interoperability using ebXML , 2005, IEEE Transactions on Knowledge and Data Engineering.

[7]  M. Zeleny Autopoiesis (self‐production) in SME networks , 2001 .

[8]  Kevin Crowston,et al.  The interdisciplinary study of coordination , 1994, CSUR.

[9]  J. Wyatt Decision support systems. , 2000, Journal of the Royal Society of Medicine.

[10]  Boris Wyssusek,et al.  Ontological Foundations of Conceptual Modelling Reconsidered: A Response , 2006, Scand. J. Inf. Syst..

[11]  AntonelliCristiano Localized technological change and the evolution of standards as economic institutions , 1994 .

[12]  Clive H. Elphick,et al.  Brain of the Firm , 1981 .

[13]  G. Philip,et al.  Inter-organisational information systems: Are organisations in Ireland deriving strategic benefits from EDI? , 1997 .

[14]  Vineet Padmanabhan,et al.  Comments on "Information Distortion in a Supply Chain: The Bullwhip Effect" , 1997, Manag. Sci..

[15]  Eugene W. Martin,et al.  Actor-networks and implementation: examples from conservation GIS in Ecuador , 2000, Int. J. Geogr. Inf. Sci..

[16]  Jari Salo,et al.  Business Relationship Digitization: What Do We Need to Know Before Embarking on Such Activities? , 2006, J. Electron. Commer. Organ..

[17]  Salvatore T. March,et al.  Design and natural science research on information technology , 1995, Decis. Support Syst..

[18]  Alan R. Hevner,et al.  Design Science in Information Systems Research , 2004, MIS Q..

[19]  Markus Schwaninger,et al.  Intelligent Organizations: An Integrative Framework , 2001 .

[20]  Ron Weber,et al.  An Ontological Evaluation of Systems Analysis and Design Methods , 1989, ISCO.