Skip to main content
Log in

Generative innovation: a comparison of lightweight and heavyweight IT

  • Research Article
  • Published:
Journal of Information Technology

Abstract

This paper proposes a simple terminology for understanding and dealing with two current phenomena; we suggest calling them heavyweight and lightweight IT. Heavyweight IT denotes the well-established knowledge regime of large systems, developing ever more sophisticated solutions through advanced integration. Lightweight IT is suggested as a term for the new knowledge regime of mobile apps, sensors and bring-your-own-device, also called consumerisation and Internet-of-Things. The key aspect of lightweight IT is not only the cheaper and more available technology compared with heavyweight IT, but the fact that its deployment is frequently done by users or vendors, bypassing the IT departments. Our theoretical lens is generativity, the idea that complex phenomena arise from interactions among basic elements. In the context of IT, generativity helps to explain the creative potential of flexible digital technology for knowledgeable professionals and users. The research questions are: how is generativity different in heavyweight and lightweight IT, and what is the generative relationship between heavyweight and lightweight IT? These questions were investigated through a study of four cases in the health sector. Our findings show that (i) generativity enfolds differently in heavyweight and lightweight IT and (ii) generativity in digital infrastructures is supported by the interaction of loosely coupled heavyweight and lightweight IT. The practical design implication is that heavyweight and lightweight IT should be only loosely integrated, both in terms of technology, standardisation and organisation.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Figure 1
Figure 2
Figure 3

Similar content being viewed by others

Notes

  1. The notions of lightness and heaviness have a long history in European philosophy and literature. In On The Heavens, Aristotle ascribed absolute weight to the earth and absolute lightness to fire, while the weight of other elements was relative. Parmenides argued that lightness was positive and to be desired, while weight was negative. In The Unbearable Lightness of Being, Milan Kundera played with the dichotomies of lightness (momentary pleasures) and heaviness (Nietzsche’s idea of ‘eternal return’, where time is circular). In software engineering the term lightweight methods, such as XP was introduced around 2000, as a contrast to heavyweight methods, such as RUP.

  2. Infrastructure is used as a term to conceptualise interconnected system collectives. The past 20 years have witnessed research on digital infrastructures covering different settings such as health, telecom, finance, government and manufacturing. Hanseth and Lyytinen (2010) defined an information infrastructure as ‘a shared, open (and unbounded), heterogeneous and evolving socio-technical system (which we call installed base) consisting of a set of IT capabilities and their users, operations and design’ (p. 4).

  3. The security and privacy issues of lightweight IT are indeed problematic, and must be addressed, theoretically, technically and organisationally. They are however not dealt with in this paper, which focuses on the generativity aspects.

  4. Following Bhaskar ([1975] 1997), we define generative mechanisms as causal structures that generate observable events. The outcome of a mechanism is contingent, that is, it may vary depending on context.

References

  • Alemdar, H. and Ersoy, C. (2010). Wireless Sensor Networks for Healthcare: A survey, Computer Networks 54(15): 2688–2710.

    Article  Google Scholar 

  • Atzori, L., Iera, A. and Morabito, G. (2010). The Internet of Things: A survey, Computer Networks 54(15): 2787–2805.

    Article  Google Scholar 

  • Avital, M. and Te'eni, D. (2009). From Generative Fit to Generative Capacity: Exploring an emerging dimension of information systems design and task performance, Information Systems Journal 19(4): 345–367.

    Article  Google Scholar 

  • Baldwin, C. and Woodard, J. (2008). The Architecture of platforms: A unified view. Working Paper, Harvard Business School [www document] http://www.hbs.edu/faculty/Publication%20Files/09-034_149607b7-2b95-4316-b4b6-1df66dd34e83.pdf (accessed 9 May 2016).

  • Bannister, F. (2001). Dismantling the Silos: Extracting new value from IT investments in public administration, Information Systems Journal 11(1): 65–84.

    Article  Google Scholar 

  • Bergvall-Kåreborn, B. and Howcroft, D. (2011). Mobile Applications Development on Apple and Google Platforms, Communications of the Association for Information Systems 29, Article 30.

  • Bhaskar, R.A. ([1975] 1997). A Realist Theory of Science, London: Verso.

  • Bouwman, H., van Houtum, H., Janssen, M. and Versteeg, G. (2011). Business Architectures in the Public Sector: Experiences from practice, Communications of the Association for Information Systems 29, Article 23.

  • Bygstad, B. and Hanseth, O. (2015). From IT Silo Systems to Generative Infrastructures. A Study in eHealth Complexity, in Proceedings of European Conference of Information Systems (ECIS) (AIS, Münster).

  • Bygstad, B. and Lanestedt, G. (2014). Policies and Practices in Welfare Technologies. A Comparative Study of Norway and Japan, in Proceedings of NOKOBIT (Tapir: Fredrikstad, Norway).

  • Campbell, J. and Pedersen, O.K. (2006). Knowledge Regimes and Comparative Political Economy, in D. Béland and R.H. Cox (eds.) Ideas and Politics in Social Science Research, New York: Oxford University Press.

    Google Scholar 

  • Christensen, C.M. (2009). The Innovator’s Prescription. A Disruptive Solution for Health Care, New York: McGrawHill.

    Google Scholar 

  • DeLanda, Manuel (1998). Meshworks, Hierarchies and Interfaces, in J. Beckman (ed.) The Virtual Dimension. Architecture, Representation and Crash Culture, Princeton, NJ: Princeton Architectural Press, pp. 274–285.

    Google Scholar 

  • DeLone, W.H. and McLean, E.R. (2003). The DeLone and McLean Model of Information System Success: A ten year update, Journal of Management Information Systems 10(4): 9–30.

    Google Scholar 

  • Eaton, B., Elaluf-Calderwood, S., Sørensen, C. and Yoo, Y. (2011). Dynamic structures of control and generativity in digital ecosystem service innovation: The cases of the Apple and Google mobile app stores. Working paper of the London School of Economics [www document] http://eprints.lse.ac.uk/47436/ (accessed 9 May 2016).

  • Elder-Vass, D. (2007). A Method for Social Ontology: Iterating ontology and social research, Journal of Critical Realism 6(2): 226–249.

    Article  Google Scholar 

  • Erl, T., Gee, C., Kress, C.J., Maier, B., Normann, H., Raj, P., Shuster, L., Trops, B., Utschig-Utschig, B.C., Wik, P. and Winterberg, T. (2015). Next Generation SOA. A Concise Introduction to Service Technology & Service- Orientation, Prentice Hall.

  • European Commission (2011). European countries on their journey towards national eHealth infrastructures [www document] http://www.ehealthnews.eu/images/stories/pdf/ehstrategies_final_report.pdf (accessed 9 May 2016).

  • Gartner (2014). Bimodal IT: How to be digitally agile without making a mess [www document] https://www.gartner.com/doc/2798217/bimodal-it-digitally-agile-making (accessed 9 May 2016).

  • Gerring, J. (2007). Case Study Research, New York: Cambridge University Press..

    Google Scholar 

  • Glaser, B. and Strauss, A. (1999). The Discovery of Grounded Theory: Strategies for qualitative research, New York: Aldine de Gruyter.

    Google Scholar 

  • Ghazawneh, A. and Henfridsson, O. (2015). A Paradigmatic Analysis of Digital Application Marketplaces, Journal of Information Technology 30(3): 198–208.

    Article  Google Scholar 

  • Greenhalgh, T., Hinder, S., Stramer, K., Bratan, T. and Russell, J. (2010). Adoption, Non-Adoption and Abandonment of an Internet-Accessible Personal Health Organiser: Case Study of Health Space, British Medical Journal 340.

  • Harris, J., Ives, B. and Junglas, I. (2012). IT Consumerization: When gadgets turn into enterprise IT tools, MIS Quarterly Executive 11(3): 99–112.

    Google Scholar 

  • Hanseth, O. and Bygstad, B. (2015). Flexible Generification. ICT Standardization Strategies and Service Innovation in Health Care, European Journal of Information Systems 24(6): 645–663.

    Article  Google Scholar 

  • Hanseth, O. and Lyytinen, K. (2010). Design Theory for Dynamic Complexity in Information Infrastructures: The case of building internet, Journal of Information Technology 25(1): 1–19.

    Article  Google Scholar 

  • Henderson, R.M. and Clark, K.B. (1990). Architectural Innovation: The reconfiguration of existing product technologies and the failure of established firms, Administrative Science Quarterly 35(1): 9–30.

    Article  Google Scholar 

  • Henfridsson, O. and Bygstad, B. (2013). The Generative Mechanisms of Digital Infrastructure Evolution, MIS Quarterly 37(3): 907–931.

    Google Scholar 

  • Hertzum, M. and Simonsen, J. (2010). Effects-Driven IT Development: An Instrument for Supporting Sustained Participatory Design, in Proceedings of the ACM 11th Biennial Participatory Design Conference, 61–70.

  • Howard-Grenville, J.A. and Carlile, P.R. (2006). The Incompatibility of Knowledge Regimes: Consequences of the material world for cross-domain work, European Journal of Information Systems 15: 473–485.

    Article  Google Scholar 

  • Hylving, L., Henfridsson, O. and Selander, L. (2012). The Role of Dominant Design in a Product Developing Firm’s Digital Innovation, Journal of Information Technology Theory and Application 13(2): 5–21.

    Google Scholar 

  • Iyer, B. and Davenport, T.H. (2008). Reverse Engineering. Googles Innovation Machine. Harvard Business Review April: 59–68.

  • Lane, D.A. (2011). Complexity and Innovation Dynamics, in C. Antonelli (ed.) Handbook on the Economic Complexity of Technological Change, Cheltenham, UK: Edward Elgar Publishing.

    Google Scholar 

  • Lacity, M. and Willcocks, L. (2015). Robotic Process Automation at Telefonica O2, MIS Quarterly Executive 15(1): 21–35.

    Google Scholar 

  • Leonardi, P. (2011). When Flexible Routines Meet Flexible Technologies: Affordance, Constraint, and the Imbrication of Human and Material Agencies, Management Information Systems Quarterly 35(1): 147–167.

    Google Scholar 

  • Mccarthy, D., Mueller, K. and Wrenn, J. (2009). Kaiser permanente: Bridging the quality divide with integrated practice, Group Accountability, and Health Information Technology [www document] http://www.commonwealthfund.org/publications/case-studies/2009/jun/kaiser-permanente (accessed 9 May 2016).

  • Miorandi, D., Sicari, S., De Pellegrini, F. and Chlamtac, I. (2012). Internet of Things: vision, applications and research challenges, Ad Hoc Networks 10(7): 1497–1516.

    Article  Google Scholar 

  • Munro, D. (2014). Apple Gives Epic And Mayo Bear Hug With HealthKit. Forbes. [www document] http://www.forbes.com/sites/danmunro/2014/06/03/apple-gives-epic-and-mayo-bear-hug-with-healthkit/#6ec7dc9c4167.

  • Niehaves, B., Köffer, S. and Ortbach, K. (2012). IT Consumerization – A Theory and Practice Review, in AMCIS Proceedings. Paper 18.

  • Parnas, D.L. (1972). On the Criteria to be Used in Decomposing Systems into Modules, Communications of the ACM 15(12): 1053–1058.

    Article  Google Scholar 

  • Pawson, R. and Tilley, N. (1997). Realistic Evaluation, London: Sage.

    Google Scholar 

  • Phelan, S.E. (2003). What is Complexity Science Really? Emergence 3(1): 120–136.

    Article  Google Scholar 

  • Pollock, N., Williams, R. and D’Adderio, L. (2007). Global Software and its Provenance: Generification work in the production of organizational software packages, Social Studies of Science 37(2): 254–280.

    Article  Google Scholar 

  • Rosen, M., Lublinsky, B., Smith, K.T. and Balcer, M.J. (2008). Applied SOA: Service-oriented architecture and design strategies, Indianapolis: Wiley Publishing.

    Google Scholar 

  • Ross, J.W., Weill, P. and Robertson, D. (2006). Enterprise Architecture as Strategy: Creating a foundation for business execution, Boston: Harvard Business School Press.

    Google Scholar 

  • Sauer, C. and Willcocks, L.P. (2007). Unreasonable Expectations – NHS IT, Greek choruses and the games institutions play around mega-programmes, Journal of Information Technology 22(3): 195–201.

    Article  Google Scholar 

  • Sommerville, I. (2010). Software Engineering, 9th edn, Harlow, UK: Pearson.

    Google Scholar 

  • Sommerville, I., Cliff, D., Calinescu, R., Keen, J., Kelly, T., Kwiatkowska, M.Z., McDermid, J.A. and Page, R. (2012). Large-Scale Complex IT Systems, Communications of the ACM 55(7): 71–77.

    Article  Google Scholar 

  • Sherer, S.A. (2014). Patients Are Not Simply Health IT Users or Consumers: The case for ‘e healthicant’ applications, Communications of the Association for Information Systems 34, Article 17.

  • Sørensen, C., de Reuver, M. and Basole, R.C. (2015). Mobile Platforms and Ecosystems, Journal of Information Technology 30(3): 195–197.

    Article  Google Scholar 

  • Smith, J.E.H. (2011). Divine Machines: Leibniz and the sciences of life, Princeton, New Jersey, US: Princeton University Press.

    Book  Google Scholar 

  • Tiwana, A. (2014). Platform Ecosystems. Aligning Architecture, Governance and Strategy, Waltham, MA, USA: Morgan Kaufmann.

    Google Scholar 

  • Weick, K.E. (1976). Educational Organizations as Loosely Coupled Systems, Administrative Science Quarterly 21(1): 1–19.

    Article  Google Scholar 

  • Willcocks, L., Lacity, M. and Craig, A. (2015). The IT function and robotic process automation paper 15/05 [www document] http://eprints.lse.ac.uk/64519/1/OUWRPS_15_05_published.pdf (accessed 9 May 2016).

  • Wynn, D. and Williams, C.K. (2012). Principles for Conducting Critical Realist Case Study Research in Information Systems, MIS Quarterly 36(3): 787–810.

    Google Scholar 

  • Yoo, Y. (2013). The Tables have Turned: How can the information systems field contribute to technology and innovation management research? Journal of the Association for Information Systems 14(5): 227–236.

    Google Scholar 

  • Zittrain, J.L. (2006). The Generative Internet, Harvard Law Review 119: 1974–240.

    Google Scholar 

Download references

Acknowledgements

The author would like to thank the JIT reviewers for useful feedback, and in particularly the author would also like to thank the Senior Editor for her engagement with the paper. An earlier version of this paper was published at ECIS 2015. Thanks are also due to the many informants for their time and engagement. This research was part of the FIGI project, supported financially by the Regionale Forskningsfond, Hovedstaden.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bendik Bygstad.

APPENDIX

APPENDIX

Table A1

Table A1 Interviewees

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bygstad, B. Generative innovation: a comparison of lightweight and heavyweight IT. J Inf Technol 32, 180–193 (2017). https://doi.org/10.1057/jit.2016.15

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1057/jit.2016.15

Keywords

Navigation