Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Multi-sided platform diffusion in competitive B2B networks: inhibiting factors and their impact on network effects

  • Research Paper
  • Published:
Electronic Markets Aims and scope Submit manuscript

Abstract

Although multi-sided platforms (MSPs) and their diffusion in B2C contexts received heightened attention in recent literature, there is still a dearth of research on MSP diffusion inhibitors in competitive B2B networks. Using the air cargo hub in Frankfurt, Germany, as highly competitive B2B network which struggles with the acceptance of an MSP for over 10 years, we applied a grounded theory approach to identify key inhibitors to MSP diffusion. Based on several interviews with a diverse set of stakeholders and a systematic coding procedure, we identified 21 factors inhibiting MSP diffusion. The majority of these factors slows down or even thwarts positive network effects, typically occurring on MSPs. Furthermore, we derive a classification showing that the inhibiting factors primarily hamper cross-side network effects in highly competitive B2B networks, and to a lesser degree also same-side and mixed-side network effects. Finally, implications of these results and future research directions are discussed.

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

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  • Aarikka-Stenroos, L., & Ritala, P. (2017). Network management in the era of ecosystems: Systematic review and management framework. Industrial Marketing Management, 67, 23–36.

    Google Scholar 

  • Airport Council International. (2016). World Report (9781583227152). Retrieved from https://aci.aero/news/aci-world-report/

  • Alt, R., & Fleisch, E. (2000). Business networking systems: Characteristics and lessons learned. International Journal of Electronic Commerce, 5(2), 7–27.

    Google Scholar 

  • Angst, C. M., & Agarwal, R. (2009). Adoption of electronic health records in the presence of privacy concerns: The elaboration likelihood model and individual persuasion. MIS Quarterly, 33(2), 339–370.

    Google Scholar 

  • Arroyo-Barrigüete, J. L., Ernst, R., López-Sánchez, J. I., & Orero-Giménez, A. (2010). On the identification of critical mass in internet-based services subject to network effects. The Service Industries Journal, 30(5), 643–654.

    Google Scholar 

  • Barz, C., & Gartner, D. (2016). Air cargo network revenue management. Transportation Science, 50(4), 1206–1222.

    Google Scholar 

  • Batra, D., Xia, W., & Zhang, M. (2017). Collaboration in agile software development: Concept and dimensions. Communications of the Association for Information Systems, 41(1), 429–449.

    Google Scholar 

  • Beattie, V., Fearnley, S., & Brandt, R. (2004). A grounded theory model of auditor-client negotiations. International Journal of Auditing Journal of Auditing, 19, 1–19.

    Google Scholar 

  • Benlian, A., & Hess, T. (2011). Opportunities and risks of software-as-a-service: Findings from a survey of IT executives. Decision Support Systems, 52(1), 232–246.

    Google Scholar 

  • Benlian, A., Kettinger, W. J., Sunyaev, A., & Winkler, T. J. (2018). The transformative value of cloud computing: A decoupling, Platformization, and recombination theoretical framework. Journal of Management Information Systems, 35(3), 719–739.

    Google Scholar 

  • Benlian, A., Koufaris, M., & 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.

    Google Scholar 

  • Ceccagnoli, M., Forman, C., Huang, P., & Wu, D. (2012). Cocreation of value in a platform ecosystem! The case of enterprise software. MIS Quarterly, 36, 263–290.

    Google Scholar 

  • Choi, H., Kim, S.-H., & Lee, J. (2010). Role of network structure and network effects in diffusion of innovations. Industrial Marketing Management, 39(1), 170–177.

    Google Scholar 

  • Christiaanse, E. (2005). Performance benefits through integration hubs. Communications of the ACM, 48(4), 95–100.

    Google Scholar 

  • Christiaanse, E., & Damsgaard, J. (2006). Success and Failure in Building Electronic Infrastructures in the Air Cargo Industry: A Comparison of The Netherlands and Hong Kong SAR. In Cases on Information Technology and Organizational Politics & Culture (pp. 176-186). Hershey, PA, USA: IGI Global.

  • Christiaanse, E., & Zimmerman, R.-J. (1999). Managing electronic channels: The KLM cargo cyberpets case. Journal of Information Technology, 14(2), 123–135.

    Google Scholar 

  • Chu, J., & Manchanda, P. (2016). Quantifying cross and direct network effects in online consumer-to-consumer platforms. Marketing Science, 35(6), 870–893.

    Google Scholar 

  • Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20(1), 37–46.

    Google Scholar 

  • Corbin, J., & Strauss, A. (2015). Basics of qualitative research (4th ed.). Los Angeles: Sage Publications.

    Google Scholar 

  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.

    Google Scholar 

  • de Reuver, M., Sørensen, C., & Basole, R. C. (2018). The digital platform: A research agenda. Journal of Information Technology, 33(2), 124–135.

    Google Scholar 

  • Delfmann, W., Albers, S., & Gehring, M. (2002). The impact of electronic commerce on logistics service providers. International Journal of Physical Distribution & Logistics Management, 32(3), 203–222.

    Google Scholar 

  • Eisenhardt, K. M. (1989). Building theories from case study research. Academy of Management Review, 14(4), 532–550.

    Google Scholar 

  • Eisenmann, T., Parker, G., & Van Alstyne, M. (2011). Platform envelopment. Strategic Management Journal, 32(12), 1270–1285.

    Google Scholar 

  • Elbert, R., Pontow, H., & Benlian, A. (2017). The role of inter-organizational information systems in maritime transport chains. Electronic Markets, 27(2), 157–173.

    Google Scholar 

  • Evans, D., & Schmalensee, R. (2016). Matchmakers: the new economics of multisided platforms: Harvard Business Review Press.

  • Farahani, R. Z., Rezapour, S., Drezner, T., & Fallah, S. (2014). Competitive supply chain network design: An overview of classifications, models, solution techniques and applications. Omega, 45, 92–118.

    Google Scholar 

  • Fichman, R. G., Dos Santos, B. L., & Zheng, Z. E. (2014). Digital innovation as a fundamental and powerful concept in the information systems curriculum. MIS Quarterly, 38(2).

  • Fraport AG. (2016). Fraport Annual Report 2016. Retrieved from http://www.fraport.de/content/fraport/de/misc/binaer/unternehmen/investoren/termine-und-publikationen/geschaeftsberichte/geschaeftsbericht-2016/jcr:content.file/fraport-geschaeftsbericht-2016_safe.pdf

  • Hagiu, A., & Rothman, S. (2016). Network effects aren’t enough. Harvard Business Review, 94(4), 64–71.

    Google Scholar 

  • Hagiu, A., & Wright, J. (2015). Multi-sided platforms. International Journal of Industrial Organization, 43, 162–174.

    Google Scholar 

  • Harris, I., Wang, Y., & Wang, H. (2015). ICT in multimodal transport and technological trends: Unleashing potential for the future. International Journal of Production Economics, 159, 88–103.

    Google Scholar 

  • Hong, W., Chan, F. K., Thong, J. Y., Chasalow, L. C., & Dhillon, G. (2013). A framework and guidelines for context-specific theorizing in information systems research. Information Systems Research, 25(1), 111–136.

    Google Scholar 

  • IATA. (2018). International Air Transport Association (IATA) Cargo Strategy. Retrieved from https://www.iata.org/whatwedo/cargo/Documents/cargo-strategy.pdf

  • Jede, A., & Teuteberg, F. (2016). Towards cloud-based supply chain processes: Designing a reference model and elements of a research agenda. International Journal of Logistics Management, 27(2), 438–462.

    Google Scholar 

  • Kembro, J., Näslund, D., & Olhager, J. (2017). Information sharing across multiple supply chain tiers: A Delphi study on antecedents. International Journal of Production Economics, 193, 77–86.

    Google Scholar 

  • Koch, O. F., & Benlian, A. (2015). Promotional tactics for online viral marketing campaigns: How scarcity and personalization affect seed stage referrals. Journal of Interactive Marketing, 32, 37–52.

    Google Scholar 

  • Kuckartz, U. (2014). Qualitative text analysis. Methods, practice, computer assistance (3rd ed.). London: Sage Publications.

    Google Scholar 

  • Kurnia, S., Parker, C., Ali, M., & Karnali, R. (2019). The impact of multilevel contextual factors on IS adoption at the inter-organizational level. Communications of the Association for Information Systems, 44(24), 421–459.

    Google Scholar 

  • Lawrence, J., & Tar, U. (2013). The use of grounded theory technique as a practical tool for qualitative data collection and analysis. Electronic Journal of Business Research Methods, 11(1), 29–40.

    Google Scholar 

  • Maxwell, J. A. (2010). Using numbers in qualitative research. Qualitative Inquiry, 16(6), 475–482.

    Google Scholar 

  • Mayer, R. (2016). Airport classification based on cargo characteristics. Journal of Transport Geography, 54, 53–65.

    Google Scholar 

  • Mayring, P. (2014). Qualitative content analysis. Forum: Qualitative Social Research, 1(2), 1–20.

    Google Scholar 

  • Miles, M. B., Huberman, A. M., & Saldana, J. (2013). Qualitative Data Analysis: A Sourcebook of new Methods (H. Salmon Ed. 3 ed.). Los Angeles: Sage Publications.

  • Mitchell, R. K., Agle, B. R., & Wood, D. J. (1997). Toward a theory of stakeholder identification and salience: Defining the principle of who and what really counts. Academy of Management Review, 22(4), 853–886.

    Google Scholar 

  • Naim, M. M., Potter, A. T., Mason, R. J., & Bateman, N. (2006). The role of transport flexibility in logistics provision. International Journal of Logistics Management, 17, 297–311.

    Google Scholar 

  • Oliveira, T., Thomas, M., & Espadanal, M. (2014). Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors. Information & Management, 51(5), 497–510.

    Google Scholar 

  • Onwuegbuzie, A. J. (2003). Effect sizes in qualitative research: A prolegomenon. Quality and Quantity, 37(4), 393–409.

    Google Scholar 

  • Pagani, M., & Pardo, C. (2017). The impact of digital technology on relationships in a business network. Industrial Marketing Management, 67, 185–192.

    Google Scholar 

  • Parker, G. G., Van Alstyne, M. W., & Choudary, S. P. (2016). Platform revolution: How networked markets are transforming the Economyand how to make them work for you. New York: WW Norton & Company.

    Google Scholar 

  • Perego, A., Perotti, S., & Mangiaracina, R. (2011). ICT for logistics and freight transportation: A literature review and research agenda. International Journal of Physical Distribution & Logistics Management, 41(5), 457–483.

    Google Scholar 

  • Polyanin, A. D., & Manzhirov, A. V. (2006). Handbook of mathematics for engineers and scientists. Boca Raton: Chapman and Hall/CRC.

    Google Scholar 

  • Provan, K. G., & Kenis, P. (2008). Modes of network governance: Structure, management, and effectiveness. Journal of Public Administration Research and Theory, 18(2), 229–252.

    Google Scholar 

  • Rezapour, S., Farahani, R. Z., & Drezner, T. (2011). Strategic design of competing supply chain networks for inelastic demand. Journal of the Operational Research Society, 62(10), 1784–1795.

    Google Scholar 

  • Rogers, E. M. (2010). Diffusion of innovations (4th ed.). New York: Free Press.

    Google Scholar 

  • Rysman, M. (2009). The economics of two-sided markets. Journal of Economic Perspectives, 23(3), 125–143.

    Google Scholar 

  • Saldaña, J. (2015). The coding manual for qualitative researchers (2nd ed.). London: Sage Publications.

    Google Scholar 

  • Sarker, S., Xiao, X., Beaulieu, T., & Lee, A. S. (2018). Learning from first-generation qualitative approaches in the IS discipline: An evolutionary view and some implications for authors and evaluators (PART 1/2). Journal of the Association for Information Systems, 19(8), 752–774.

    Google Scholar 

  • Schreieck, M., Hein, A., Wiesche, M., & Krcmar, H. (2018). The challenge of governing digital platform ecosystems. In C. Linnhoff-Popien, R. Schneider, & M. Zaddach (Eds.), Digital marketplaces unleashed (pp. 527–538). Berlin: Springer.

    Google Scholar 

  • Scott, A., White , J., & Tobin, E. (2017). GE shifts strategy, financial targets for digital business after missteps. Retrieved from https://www.reuters.com/article/us-ge-digital-outlook-insight/ge-shifts-strategy-financial-targets-for-digital-business-after-missteps-idUSKCN1B80CB

  • Shapiro, C., & Varian, H. R. (1998). Information rules: A strategic guide to the network economy. Boston: Harvard Business Press.

    Google Scholar 

  • Son, J.-Y., & Benbasat, I. (2007). Organizational buyers' adoption and use of B2B electronic marketplaces: Efficiency- and legitimacy-oriented perspectives. Journal of Management Information Systems, 24(1), 55–99.

    Google Scholar 

  • Stummer, C., Kundisch, D., & Decker, R. (2018). Platform launch strategies. Business & Information Systems Engineering, 60(2), 167–173.

    Google Scholar 

  • Te'eni, D. (2015). Current issue and future submissions, contextualized. European Journal of Information Systems, 24(4), 361–363.

    Google Scholar 

  • Thies, F., Wessel, M., & Benlian, A. (2018). Network effects on crowdfunding platforms: Exploring the implications of relaxing input control. Information Systems Journal, 28(6), 1239–1262.

    Google Scholar 

  • Tiwana, A. (2013). Platform ecosystems: Aligning architecture, governance, and strategy. Waltham: Elsevier Ltd..

    Google Scholar 

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

    Google Scholar 

  • Van Alstyne, M., Parker, G., & Choudary, S. P. (2016). Reasons Platforms Fail. Harvard business review, 31.

  • Voigt, S., & Hinz, O. (2015). Network effects in two-sided markets: Why a 50/50 user split is not necessarily revenue optimal. Business Research, 8(1), 139–170.

    Google Scholar 

  • Wallbach, S., Coleman, K., & Elbert, R. (2018). Factors Inhibiting the Adoption of Cloud Community Systems in Dynamic B2B Networks: The Case of Air Cargo. International Conference on Information Systems (ICIS).

  • Wan, X., Cenamor, J., Parker, G., & Van Alstyne, M. (2017). Unraveling platform strategies: A review from an organizational ambidexterity perspective. Sustainability, 9(5), 734–752.

    Google Scholar 

  • Wang, F., Zhuo, X., & Niu, B. (2017). Strategic entry to regional air cargo market under joint competition of demand and promised delivery time. Transportation Research Part B: Methodological, 104, 317–336.

    Google Scholar 

  • Wheeler, B. C. (2002). NEBIC: A dynamic capabilities theory for assessing net-enablement. Information Systems Research, 13(2), 125–146.

    Google Scholar 

  • Wiesche, M., Jurisch, M. C., Yetton, P. W., & Krcmar, H. (2017). Grounded theory methodology in information systems research. MIS Quarterly, 41(3), 685–701.

    Google Scholar 

  • Wright, R. T., Roberts, N., & Wilson, D. (2017). The role of context in IT assimilation: A multi-method study of a SaaS platform in the US nonprofit sector. European Journal of Information Systems, 26(5), 509–539.

    Google Scholar 

  • Zhu, K., & Kraemer, K. L. (2005). Post-adoption variations in usage and value of e-business by organizations: Cross-country evidence from the retail industry. Information Systems Research, 16(1), 61–84.

    Google Scholar 

  • Zhu, K., Kraemer, K. L., & Xu, S. (2006). The process of innovation assimilation by firms in different countries: A technology diffusion perspective on e-business. Management Science, 52(10), 1557–1576.

    Google Scholar 

Download references

Acknowledgements

This project (HA project no.: 534/17-16) is funded by the State of Hesse, Germany and HOLM funding as part of “innovations in the field of logistics and mobility”, Ministry of Economics, Energy, Transport and Regional Development, State of Hesse.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sören Wallbach.

Additional information

Responsible Editors: Nizar Abdelkafi and Angela Roth

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This article is part of the Topical Collection on Research advances in multi-sided platforms

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wallbach, S., Coleman, K., Elbert, R. et al. Multi-sided platform diffusion in competitive B2B networks: inhibiting factors and their impact on network effects. Electron Markets 29, 693–710 (2019). https://doi.org/10.1007/s12525-019-00382-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12525-019-00382-7

Keywords

JEL Classification