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How open is this platform? The meaning and measurement of platform openness from the complementors’ perspective

  • Research Article
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Journal of Information Technology

Abstract

Software platforms’ success largely depends on complementors’ willingness to repeatedly invest their time and effort to the development of platform applications that attract users and increase the platform’s installed base. But how can platform providers encourage desirable behaviours by complementors (i.e., application developers) in the absence of formal roles and hierarchical control structures? Although previous studies of software-based platforms have identified openness as critical instrument at the macro (i.e., platform) level and have provided initial attempts to measure the construct, no research has been dedicated to comprehensively conceptualize and operationalize platform openness at the micro level from the perspective of application developers. To go beyond these preliminary findings and to theorize about the nature and effects of platform openness as perceived by application developers, we develop a construct called perceived platform openness (PPO). Drawing on recently advanced scale development methodologies, we conceptualize PPO as a multidimensional construct and empirically validate it with important consequent variables linked to developers’ continuous platform contributions. Empirical evidence from several rounds of qualitative and quantitative steps supports the conceptual validity of the construct and empirical relevance of the scale across different smartphone platform contexts (i.e., Apple iOS and Google Android). Researchers will benefit from the study’s systematic and comprehensive conceptualization of PPO, how it is measured, and how it relates to critical application developer beliefs and attitudes. Platform managers may use our results to target the underlying facets of PPO most likely to contribute to the platform’s long-term goals.

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Notes

  1. Overall, Android and iOS platform developers did not systematically differ in their responses. Both groups mentioned all of the identified facets of openness about the same number of times such that we believe that the saturated list of 23 platform openness facets represents a balanced perspective across both platforms.

  2. The hit ratio calculates the ratio of correct item assignments to the total number of assignments. A minimum of 75% is generally acceptable (Hinkin, 1998).

  3. The results of the convergent and discriminant validity tests of the 11 reflective indicators can be obtained from the authors upon request.

  4. Interestingly, while the formative indicators ‘cost of required technical equipment’ and ‘cost of selling’ were again non-significant in the impact on their respective first-order constructs for the Android sub-sample, they turned out to be significant (both P<0.01) for the iOS sub-sample.

  5. We also conducted a sub-sample analysis comparing employed and non-employed (i.e., hobby developers, entrepreneurs, and freelancers) developers. We found that although the relative importance of the four components of PPO differed in their impact on overall PPO, PPO’s influence on perceived usefulness, satisfaction, and continuance intentions remained stable across both sub-samples. These results underscore that developer perceptions and attitudes are affected by PPO irrespective of developers’ employment status.

  6. We thank the anonymous reviewer for pointing this out.

References

  • Ackermann, T., Widjaja, T., Benlian, A. and Buxmann, P. (2012). Perceived It Security Risks of Cloud Computing: Conceptualization and Scale Development, in International Conference on Information Systems (ICIS 2012). Orlando: Association for Information Systems.

  • Almirall, E. and Casadesus-Masanell, R. (2010). Open Versus Closed Innovation: A model of discovery and divergence, Academy of Management Review 35 (1): 27–47.

    Article  Google Scholar 

  • Anvaari, M. and Jansen, S. (2010). Evaluating Architectural Openness in Mobile Software Platforms, ECSA '10 Proceedings of the Fourth European Conference on Software Architecture: 85–92, New York, ACM (Association for Computing Machinery).

  • Arakji, R. and Lang, K.R. (2010). An Evolutionary Theory of Innovation and Strategic Platform Openness for Web 2.0 Businesses, Sprouts: Working Papers on Information Systems 10 (85): 1–47.

    Google Scholar 

  • Armstrong, J.S. and Overton, T.S. (1977). Estimating Nonresponse Bias in Mail Surveys, Journal of Marketing Research 14 (3): 396–402.

    Article  Google Scholar 

  • Barki, H., Titah, R. and Boffo, C. (2007). Information System Use-Related Activity: An expanded behavioral conceptualization of individual-level information system use, Information Systems Research 18 (2): 173–192.

    Article  Google Scholar 

  • Benlian, A. (2013). Effect Mechanisms of Perceptual Congruence between Information Systems Professionals and Users on Satisfaction with Service, Journal of Management Information Systems 29 (4): 63–96.

    Article  Google Scholar 

  • Benlian, A. (2014). Are We Aligned … Enough? The effects of perceptual congruence between service teams and their leaders on team performance, Journal of Service Research 17 (2): 212–228.

    Article  Google Scholar 

  • Benlian, A. and Hess, T. (2007). A Contingency Model for the Allocation of Media Content in Publishing Companies, Information & Management 44 (5): 492–502.

    Article  Google Scholar 

  • Benlian, A., Koufaris, M. and Hess, T. (2011). Service Quality in Software-as-a-Service: Developing the saas-qual measure and examining its role in usage continuance, Journal of Management Information Systems 28 (3): 85–126.

    Article  Google Scholar 

  • Bentler, P.M. (1990). Comparative Fit Indexes in Structural Models, Psychological Bulletin 107 (2): 238–246.

    Article  Google Scholar 

  • Bergvall-Kåreborn, B., Howcroft, D. and Chincholle, D. (2010). Outsourcing Creative Work: A study of mobile application development, in ICIS 2011 Proceedings, Paper 23. Shanghai, China.

  • Bertalanffy, L.v. (1950). The Theory of Open Systems in Physics and Biology, Science 111: 23–29.

    Article  Google Scholar 

  • Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An expectation-confirmation model, MIS Quarterly 25 (3): 351–370.

    Article  Google Scholar 

  • Bollen, K. (2011). Evaluating Effect, Composite, and Causal Indicators in Structural Equation Models, MIS Quarterly 35 (2): 359–372.

    Google Scholar 

  • Boudreau, K. (2010). Open Platform Strategies and Innovation: Granting access vs. devolving control, Management Science 56 (10): 1849–1872.

    Article  Google Scholar 

  • Boudreau, K.J. (2012). Let a Thousand Flowers Bloom? An early look at large numbers of software app developers and patterns of innovation, Organization Science 23 (5): 1409–1427.

    Article  Google Scholar 

  • Boudreau, K. and Lakhani, K. (2009). How to Manage Outside Innovation: Competitive Markets or Collaborative Communities? MIT Sloan Management Review 50 (4): 69–75.

    Google Scholar 

  • Byrne, B.M. (1998). Structural Equation Modeling with Lisrel, Prelis, and Simplis: Basic concepts, applications, and programming, Mahwah, NJ: Psychology Press.

    Google Scholar 

  • Ceccagnoli, M., Forman, C., Huang, P. and Wu, D.J. (2012). Cocreation of Value in a Platform Ecosystem: The case of enterprise software, MIS Quarterly 36 (1): 263–290.

    Google Scholar 

  • Cenfetelli, R.T. and Bassellier, G. (2009). Interpretation of Formative Measurement in Information Systems Research, MIS Quarterly 33 (4): 689–707.

    Google Scholar 

  • Chin, W.W. (1998). The Partial Least Squares Approach for Structural Equation Modelling, in G.A. Marcoulides (ed.) Modern Methods for Business Research, Hillsdale, NJ: Lawrence Erlbaum Associates, pp. 295–336.

    Google Scholar 

  • Claussen, J., Kretschmer, T. and Mayrhofer, P. (2013). The Effects of Rewarding User Engagement: The case of facebook apps, Information Systems Research 24 (1): 186–200.

    Article  Google Scholar 

  • Cusumano, M. and Gawer, A. (2002). The Elements of Platform Leadership, MIT Sloan Management Review 49 (2): 27–35.

    Google Scholar 

  • Cusumano, M.A. (2010a). Cloud Computing and Saas as New Computing Platforms, Communications of the ACM 53 (4): 27–29.

    Article  Google Scholar 

  • Cusumano, M.A. (2010b). Technology Strategy and Management Platforms and Services: Understanding the resurgence of apple, Communications of the ACM 53 (10): 22–24.

    Article  Google Scholar 

  • Deci, E. and Ryan, R. (1985). Intrinsic Motivation and Self-Determination in Human Behavior, Berlin: Springer.

    Book  Google Scholar 

  • DeVellis, R.F. (2003). Scale Development – Theory and Applications, Thousand Oaks: Sage.

    Google Scholar 

  • Diamantopoulos, A. and Winklhofer, H.M. (2001). Index Construction with Formative Indicators: An alternative to scale development, Journal of Marketing Research 38 (2): 269–277.

    Article  Google Scholar 

  • Economides, N. and Katsamakas, E. (2006). Two-Sided Competition of Proprietary Vs. Open Source Technology Platforms and the Implications for the Software Industry, Management Science 52 (7): 1057–1071.

    Article  Google Scholar 

  • Eisenmann, T.R., Parker, G. and Van Alstyne, M.W. (2009). Opening Platforms: How when and why? in A. Gawer (ed.) Platforms, Markets and Innovation, Cheltenham: Edward Elgar, pp. 131–162.

    Google Scholar 

  • Evans, D., Hagiu, A. and Schmalensee, R. (2006). Invisible Engines: How software platforms drive innovation and transform industries, Boston: The MIT Press.

    Google Scholar 

  • Flick, U. (2009). An Introduction to Qualitative Research, London: Sage Publications Ltd.

    Google Scholar 

  • Fornell, C. and Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error, Journal of Marketing Research 18 (1): 39–50.

    Article  Google Scholar 

  • Gawer, A. and Cusumano, M.A. (2008). How Companies Become Platform Leaders, MIT Sloan Management Review 49 (2): 28–35.

    Google Scholar 

  • Ghazawneh, A. and Henfridsson, O. (2013). Balancing Platform Control and External Contribution in Third-Party Development: The boundary resources model, Information Systems Journal 23 (2): 173–192.

    Article  Google Scholar 

  • Goasduff, L. and Pettey, C. (2010). Gartner says worldwide IT spending to grow 5.3 percent in 2010, in http://www.gartner.com/newsroom/id/1339013, Gartner: Stamford, Conneticut.

  • Goldbach, T., Kemper, V. and Benlian, A. (2014). Mobile Application Quality and Platform Stickiness under Formal Vs. Self-Control – Evidence from an experimental study, in ICIS 2014 Proceedings. Auckland, New Zealand.

  • Henseler, J. and Chin, W.W. (2010). A Comparison of Approaches for the Analysis of Interaction Effects between Latent Variables Using Partial Least Squares Path Modeling, Structural Equation Modeling 17 (1): 82–109.

    Article  Google Scholar 

  • Hilkert, D., Benlian, A. and Hess, T. (2010). Motivational Drivers to Develop Apps for Social Software-Platforms: The example of Facebook, in AMCIS 2010 Proceedings, Paper 86. Lima, Peru.

  • Hilkert, D., Benlian, A., Sarstedt, M. and Hess, T. (2011). Perceived Software Platform Openness: The scale and its impact on developer satisfaction, in ICIS 2011 Proceedings, Paper 13. Shanghai, China.

  • Hinkin, T.R. (1998). A Brief Tutorial on the Development of Measures for Use in Survey Questionnaires, Organizational Research Methods 1 (1): 104–121.

    Article  Google Scholar 

  • Hodgkinson-Williams, C. and Gray, E. (2009). Degrees of Openness: The emergence of Open Educational Resources at the University of Cape Town, International Journal of Education and Development using ICT 5 (5): 1–16.

    Google Scholar 

  • Jarvis, C.B., Mackenzie, S.B., Podsakoff, P.M., Mick, D.G. and Bearden, W.O. (2003). A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research, Journal of Consumer Research 30 (2): 199–218.

    Article  Google Scholar 

  • Jöreskog, K.G. and Goldberger, A.S. (1975). Estimation of a Model with Multiple Indicators and Multiple Causes of a Single Latent Variable, Journal of the American Statistical Association 70 (351): 631–639.

    Article  Google Scholar 

  • Jöreskog, K.G. and Sörbom, D. (2006). Lisrel 8.80, Chicago: Scientific Software International.

    Google Scholar 

  • Krippendorff, K. (2004). Content Analysis: An introduction to its methodology, Beverly Hills, CA: Sage Publications.

    Google Scholar 

  • Kvale, S. (2008). Doing Interviews, London: SAGE.

    Google Scholar 

  • Laffan, L. (2012). A New Way of Measuring Openness: The open governance index, Technology Innovation Management Review 6 (1): 18–24.

    Google Scholar 

  • Law, K.S. and Wong, C.S. (1999). Multidimensional Constructs M Structural Equation Analysis: An illustration using the job perception and job satisfaction constructs, Journal of Management 25 (2): 143–160.

    Article  Google Scholar 

  • MacCallum, R.C. and Browne, M.W. (1993). The Use of Causal Indicators in Covariance Structure Models: Some practical issues, Psychological bulletin 114 (3): 533–541.

    Article  Google Scholar 

  • MacKenzie, S.B., Podsakoff, P.M. and Podsakoff, N.P. (2011). Construct Measurement and Validation Procedures in Mis and Behavioral Research: Integrating new and existing techniques, MIS Quarterly 35 (2): 293–334.

    Google Scholar 

  • Mankiw, N.G. (2010). Macroeconomics. New York: Worth Publishers.

    Google Scholar 

  • McCrae, R.R. and John, O.P. (1992). An Introduction to the Five-Factor Model and Its Applications, Journal of Personality 60 (2): 175–215.

    Article  Google Scholar 

  • McKeen, J.D., Guimaraes, T. and Wetherbe, J.C. (1994). The Relationship between User Participation and User Satisfaction: An investigation of four contingency factors, MIS Quarterly 18 (4): 427–451.

    Article  Google Scholar 

  • Miles, M.B. and Huberman, A.M. (1994). Qualitative Data Analysis: An expanded sourcebook, Thousand Oaks, CA: Sage.

    Google Scholar 

  • Morgan, D.L. (1997). Focus Groups as Qualitative Research, Thousand Oaks: Sage Publications, Inc.

    Book  Google Scholar 

  • Nye, J.S. (1990). Soft Power, Foreign Policy` Autumn (80): 153–171.

  • Parker, G. and Alstyne Van, M. (2008). Managing Platform Ecosystems, in International Conference on Information Systems (ICIS 2008); Paris, France: Association for Information Systems.

  • Petter, S., Straub, D. and Rai, A. (2007). Specifying Formative Constructs in Information Systems Research, MIS Quarterly 31 (4): 623–656.

    Google Scholar 

  • Qiu, Y., Gopal, A. and Hann, I.-H. (2011). Synthesizing Professional and Market Logics: A study of independent Ios App entrepreneurs, in ICIS 2011 Proceedings, Paper 10. Shanghai, China.

  • Ringle, C.M., Wende, S. and Will, A. (2005). Smartpls 2.0 (m3) beta, University of Hamburg.

  • Rochet, J. and Tirole, J. (2003). Platform Competition in Two-Sided Markets, Journal of the European Economic Association 1 (4): 990–1029.

    Article  Google Scholar 

  • Rossiter, J.R. (2002). The C-Oar-Se Procedure for Scale Development in Marketing, International Journal of Research in Marketing 19 (4): 305–335.

    Article  Google Scholar 

  • Schlagwein, D., Schoder, D. and Fischbach, K. (2010). Openness of Information Resources – A framework-based comparison of mobile platforms, in 18th European Conference on Information Systems (ECIS). Pretoria, South Africa: 1–16.

  • Shapiro, C. and Varian, H.R. (1998). Information Rules - A Strategic Guide to the Network Economy. Boston, MA: Harvard Business Press..

  • Shin, B. and Kim, G. (2011). Investigating the Reliability of Second-Order Formative Measurement in Information Systems Research, European Journal of Information Systems 20 (5): 608–623.

    Article  Google Scholar 

  • Teece, D.J. (1986). Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy, Research Policy 15 (6): 285–305.

    Article  Google Scholar 

  • Tilson, D., Lyytinen, K. and Sørensen, C. (2010). Research Commentary – Digital Infrastructures: The missing is research agenda, Information Systems Research 21 (4): 748–759.

    Article  Google Scholar 

  • Tiwana, A. (2014). Platform Ecosystems: Aligning architecture, governance, and strategy, Burlington, MA: Morgan Kaufmann.

    Google Scholar 

  • Tiwana, A., Konsynski, B. and Bush, A.A. (2010). Platform Evolution: Coevolution of platform architecture, governance, and environmental dynamics, Information Systems Research 21 (4): 675–687.

    Article  Google Scholar 

  • Wanberg, C.R. and Banas, J.T. (2000). Predictors and Outcomes of Openness to Changes in a Reorganizing Workplace, Journal of Applied Psychology 85 (1): 132–142.

    Article  Google Scholar 

  • Wareham, J., Fox, P.B. and Cano Giner, J.L. (2014). Technology Ecosystem Governance, Organization Science 25 (4): 1195–1215.

    Article  Google Scholar 

  • West, J. (2003). How Open Is Open Enough? Melding Proprietary and Open Source Platform Strategies, Research Policy 32 (7): 1259–1285.

    Article  Google Scholar 

  • West, J. and O’Mahony, S. (2008). The Role of Participation Architecture in Growing Sponsored Open Source Communities, Industry & Innovation 15 (2): 145–168.

    Article  Google Scholar 

  • Yoffie, D.B. and Kwak, M. (2006). With Friends Like These: The art of managing complementors, Harvard Business Review 84 (9): 88–98.

    Google Scholar 

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Benlian, A., Hilkert, D. & Hess, T. How open is this platform? The meaning and measurement of platform openness from the complementors’ perspective. J Inf Technol 30, 209–228 (2015). https://doi.org/10.1057/jit.2015.6

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