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International Conference on Business Information Systems

BIS 2016: Business Information Systems Workshops pp 111–122Cite as

Modeling Alignment as a Higher Order Nomological Framework

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 263))

Abstract

Achieving Business/IT-alignment (BITA) and pursuing intended goals within organizations seems an intricate and poorly examined process. We argue that without proper theories concerning BITA, the ‘mapping’ of theoretical constructs onto empirical phenomena, is ambiguous. In this paper we synthesize a higher order nomological framework for BITA with a considerable degree of complexity, coherence and causality. We aim to extend and generalize previous work on BITA within the healthcare domain, drawing on principles of complexity science. Our framework explains how BITA is related to firm performance. Using this knowledge, organizations can define improvement activities that can be executed along five organizational dimensions that best meets a organizations’ current and future needs; done simultaneously and hence by an integrated management perspective. This work contributes to academia by using a modeling approach that overcomes acknowledged limitations of existing approaches. Doing so, the outcomes of this study also offer many opportunities for future research.

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Author information

Authors and Affiliations

  1. Open University of the Netherlands, Valkenburgerweg 177, 6419 AT, Heerlen, The Netherlands

    Rogier van de Wetering

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  1. Rogier van de Wetering
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Correspondence to Rogier van de Wetering .

Editor information

Editors and Affiliations

  1. Poznań University of Economics and Business, Poznan, Poland

    Witold Abramowicz

  2. Leipzig University, Leipzig, Germany

    Rainer Alt

  3. Leipzig University, Leipzig, Germany

    Bogdan Franczyk

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van de Wetering, R. (2017). Modeling Alignment as a Higher Order Nomological Framework. In: Abramowicz, W., Alt, R., Franczyk, B. (eds) Business Information Systems Workshops. BIS 2016. Lecture Notes in Business Information Processing, vol 263. Springer, Cham. https://doi.org/10.1007/978-3-319-52464-1_11

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