Skip to main content
SpringerLink
Log in

Information Quality in Dynamic Networked Business Process Management

  • Conference paper
  • First Online:
On the Move to Meaningful Internet Systems: OTM 2015 Conferences (OTM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9415))

Abstract

The competition in globalized markets forces organizations to provide mass-customized integrated solutions for customers. Mass-customization of integrated solutions by business network requires adaptive interactions between parties to address emerging requirements of customers. These adaptive interactions need to be enabled by dynamic networked business processes (DNBP) that are supported by high quality information. However, the dynamic collaboration between parties can result in information quality (IQ) issues such as information syntactic and semantic misalignment, information leakage, and unclear information ownership. To counter negative consequences of poor IQ on the performance, the orchestrator of business network needs to clearly recognize these IQ issues. In this paper, we develop and evaluate a framework to address potential IQ issues related to DNBP. The development of the framework is based on a three step methodology that includes the characterization of dynamism of networked business processes, the characterization of IQ dimensions, and the exploration of IQ issues. To evaluate the practical significance of the explored IQ issues, we conduct a case study in a service ecosystem that is shaped by a car leasing organization to provide integrated mobility solutions for customers.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Vargo, S.L., Lusch, R.F.: Evolving to a new dominant logic for marketing. Journal of Marketing 68, 1–17 (2004)

    Article  Google Scholar 

  2. Rasouli, M.R., Kusters, R.J., Trienekens, J.J., Grefen, P.W.: Service orientation in demand-supply chains: towards an integrated framework. In: Camarinha-Matos, L.M., Afsarmanesh, H. (eds.) Collaborative Systems for Smart Networked Environments. IFIP AICT, vol. 434, pp. 182–193. Springer, Heidelberg (2014)

    Google Scholar 

  3. Grefen, P.: Networked business process management. International Journal of IT/Business Alignment and Governance (IJITBAG) 4, 54–82 (2013)

    Article  Google Scholar 

  4. Wang, R.Y.: A product perspective on total data quality management. Communications of the ACM 41, 58–65 (1998)

    Article  Google Scholar 

  5. Sadiq, S.: Handbook of data quality. Springer (2013)

    Google Scholar 

  6. Hartono, E., Li, X., Na, K.-S., Simpson, J.T.: The role of the quality of shared information in interorganizational systems use. International Journal of Information Management 30, 399–407 (2010)

    Article  Google Scholar 

  7. Li, S., Lin, B.: Accessing information sharing and information quality in supply chain management. Decision Support Systems 42, 1641–1656 (2006)

    Article  Google Scholar 

  8. Otto, B., Lee, Y.W., Caballero, I.: Information and data quality in business networking: a key concept for enterprises in its early stages of development. Electronic Markets 21, 83–97 (2011)

    Article  Google Scholar 

  9. Falge, C., Otto, B., Osterle, H.: Data quality requirements of collaborative business processes. In: 2012 45th Hawaii International Conference on System Science (HICSS), pp. 4316–4325. IEEE (2012)

    Google Scholar 

  10. von Alan, R.H., March, S.T., Park, J., Ram, S.: Design science in information systems research. MIS Quarterly 28, 75–105 (2004)

    Google Scholar 

  11. Von Bertalanffy, L.: General system theory; a new approach to unity of science. 1. Problems of general system theory. Human Biology 23, 302 (1951)

    Google Scholar 

  12. Yin, R.K.: Case study research: Design and methods. Sage publications (2013)

    Google Scholar 

  13. Rasouli, M.R., Trienekens, J.J., Kusters, R.J., Grefen, P.W.: A Dynamic Capabilities Perspective on Service-orientation in Demand-supply Chains. Procedia CIRP 30, 396–401 (2015)

    Article  Google Scholar 

  14. Sambamurthy, V., Bharadwaj, A., Grover, V.: Shaping agility through digital options: Reconceptualizing the role of information technology in contemporary firms. MIS Quarterly, 237–263 (2003)

    Google Scholar 

  15. Eshuis, R., Grefen, P.: Constructing customized process views. Data & Knowledge Engineering 64, 419–438 (2008)

    Article  Google Scholar 

  16. Anders, T.A.C. F., Dholakia, H., Goland, Y., Klein, J., Leymann, F., Roller, D., Smith, D., Thatte, S., Trickovic, I., et al.: Business Process Execution Language for Web Services, Version 1.1. Standards proposal by BEA Systems. In: International Business Machines Corporation, Microsoft Corporation, SAP AG, Siebel Systems (2002)

    Google Scholar 

  17. Reichert, M., Weber, B.: Enabling flexibility in process-aware information systems: challenges, methods, technologies. Springer Science & Business Media (2012)

    Google Scholar 

  18. Schonenberg, H., Mans, R., Russell, N., Mulyar, N., van der Aalst, W.: Process flexibility: a survey of contemporary approaches. In: Dietz, J.L.G., Albani, A., Barjis, J. (eds.) Advances in Enterprise Engineering I. Lecture Notes in Business Information Processing, vol. 10, pp. 16–30. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  19. Mehandjiev, N., Grefen, P.: Dynamic business process formation for instant virtual enterprises. Springer (2010)

    Google Scholar 

  20. Kahn, B.K., Strong, D.M., Wang, R.Y.: Information quality benchmarks: product and service performance. Communications of the ACM 45, 184–192 (2002)

    Article  Google Scholar 

  21. Strong, D.M., Lee, Y.W., Wang, R.Y.: Data quality in context. Communications of the ACM 40, 103–110 (1997)

    Article  Google Scholar 

  22. Wang, R.Y., Strong, D.M.: Beyond accuracy: What data quality means to data consumers. Journal of Management Information Systems, 5–33 (1996)

    Google Scholar 

  23. Batini, C., Cappiello, C., Francalanci, C., Maurino, A.: Methodologies for data quality assessment and improvement. ACM Computing Surveys (CSUR) 41, 16 (2009)

    Article  Google Scholar 

  24. Kooper, M.N., Maes, R., Lindgreen, E.R.: On the governance of information: Introducing a new concept of governance to support the management of information. International Journal of Information Management 31, 195–200 (2011)

    Article  Google Scholar 

  25. Stvilia, B., Gasser, L., Twidale, M.B., Smith, L.C.: A framework for information quality assessment. Journal of the American Society for Information Science and Technology 58, 1720–1733 (2007)

    Article  Google Scholar 

  26. Wand, Y., Wang, R.Y.: Anchoring data quality dimensions in ontological foundations. Communications of the ACM 39, 86–95 (1996)

    Article  Google Scholar 

  27. Provan, K.G., Kenis, P.: Modes of network governance: Structure, management, and effectiveness. Journal of Public Administration Research and Theory 18, 229–252 (2008)

    Article  Google Scholar 

  28. Zaheer, A., Venkatraman, N.: Relational governance as an interorganizational strategy: An empirical test of the role of trust in economic exchange. Strategic Management Journal 16, 373–392 (1995)

    Article  Google Scholar 

  29. Artz, D., Gil, Y.: A survey of trust in computer science and the semantic web. Web Semantics: Science, Services and Agents on the World Wide Web 5, 58–71 (2007)

    Article  Google Scholar 

  30. Li, X., Madnick, S., Zhu, H.H., Fan, Y.: Reconciling semantic heterogeneity in web services composition. Composite Information Systems Laboratory Working Paper (2009)

    Google Scholar 

  31. Seguel, R., Eshuis, R., Grefen, P.: Architecture Support for Flexible Business Chain Integration Using Protocol Adaptors. International Journal of Cooperative Information Systems 23 (2014)

    Google Scholar 

  32. Lüftenegger, E.: Service-Dominant Business Design., Ph.D. thesis, Published by Beat research school, Eindhoven University of Technology (2014)

    Google Scholar 

  33. Xu, H., Horn Nord, J., Brown, N., Daryl Nord, G.: Data quality issues in implementing an ERP. Industrial Management & Data Systems 102, 47–58 (2002)

    Article  Google Scholar 

  34. Batini, C.: A survey of data quality issues in cooperative information systems. Pre-conference ER tutorial (2004)

    Google Scholar 

  35. Mecella, M., Scannapieco, M., Virgillito, A., Baldoni, R., Catarci, T., Batini, C.: Managing data quality in cooperative information systems. In: Meersman, R., Tari, Z. (eds.) CoopIS 2002, DOA 2002, and ODBASE 2002. LNCS, vol. 2519, pp. 486–502. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  36. Hasselbring, W.: Information system integration. Communications of the ACM 43, 32–38 (2000)

    Article  Google Scholar 

  37. Izza, S.: Integration of industrial information systems: from syntactic to semantic integration approaches. Enterprise Information Systems 3, 1–57 (2009)

    Article  Google Scholar 

  38. Otero-Cerdeira, L., Rodríguez-Martínez, F.J., Gómez-Rodríguez, A.: Ontology matching: A literature review. Expert Systems with Applications 42, 949–971 (2015)

    Article  Google Scholar 

  39. Tallon, P.P.: Corporate governance of big data: Perspectives on value, risk, and cost. Computer 46, 32–38 (2013)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Industrial Engineering, Eindhoven University of Technology, P.O box: 513, 5600 MB, Eindhoven, The Netherlands

    Mohammad R. Rasouli, Rik Eshuis, Jos J. M. Trienekens, Rob J. Kusters & Paul W. P. J. Grefen

Authors
  1. Mohammad R. Rasouli
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Rik Eshuis
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jos J. M. Trienekens
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Rob J. Kusters
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Paul W. P. J. Grefen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mohammad R. Rasouli .

Editor information

Editors and Affiliations

  1. Trinity College Dublin, Dublin 2, Iran

    Christophe Debruyne

  2. University of Lorraine, Vandoeuvre-les-Nancy Cedex, France

    Hervé Panetto

  3. TU Graz, Graz, Austria

    Robert Meersman

  4. La Trobe University, Melbourne, Australia

    Tharam Dillon

  5. PROFACTOR GmbH, Steyr-Gleink, Austria

    Georg Weichhart

  6. Drexel University, Philadelphia, Pennsylvania, USA

    Yuan An

  7. Università degli Studi di Milano, Crema, Italy

    Claudio Agostino Ardagna

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Rasouli, M.R., Eshuis, R., Trienekens, J.J.M., Kusters, R.J., Grefen, P.W.P.J. (2015). Information Quality in Dynamic Networked Business Process Management. In: Debruyne, C., et al. On the Move to Meaningful Internet Systems: OTM 2015 Conferences. OTM 2015. Lecture Notes in Computer Science(), vol 9415. Springer, Cham. https://doi.org/10.1007/978-3-319-26148-5_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-26148-5_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26147-8

  • Online ISBN: 978-3-319-26148-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation