Mobile Ticketing and New Business Models in Public Transit
This paper examines how information systems have enabled a new business model for a local government transit agency through the implementation of a mobile ticketing system. Drawing on an interview with the agency's Chief Information Officer (CIO), the paper describes the technology infrastructure involved, the operational and revenue benefits realized, and the challenges encountered during implementation. The analysis is framed through both an IS management lens and a biblical model of stewardship and servant leadership. The paper concludes with practical recommendations for improving user experience, personalization, predictive analytics, data security, and stakeholder engagement, synthesizing these insights with principles of responsible and ethical data governance.
- Introduction: IS-enabled business models and paper scope
- The Organization and Its Information System: Transit agency mobile ticketing infrastructure and stewardship
- Interview Findings and Assessment: CIO interview insights and implementation assessment
- Insights and Recommendations: MaaS literature and actionable agency recommendations
- Improving the Mobile Ticketing Service: UX, personalization, analytics, and security improvements
- Conclusion: Summary of findings and call for ethical IS use
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What makes this paper effective
- The paper grounds an abstract IS concept — enabling new business models — in a concrete, real-world case: a municipal transit agency's mobile ticketing rollout, making the analysis tangible and applied.
- It integrates a normative ethical framework (biblical stewardship) alongside practical IS management principles, giving the argument a distinctive dual perspective that goes beyond standard technology assessments.
- The use of a primary source interview with the agency's CIO adds original evidence and lends credibility to the claims about implementation challenges and data-driven outcomes.
Key academic technique demonstrated
The paper demonstrates applied case analysis: it takes theoretical frameworks (IS-enabled business models, stewardship theory, Mobility as a Service) and tests them against a specific institutional case. By comparing the CIO's reported experience with findings from secondary literature on mobile ticketing in other cities, the author triangulates evidence across primary interview data, peer-reviewed sources, and normative frameworks — a technique common in public administration and IS research.
Structure breakdown
The paper is organized into three substantive parts plus an introduction and conclusion. Part 1 describes the organization and its IS infrastructure. Part 2 presents and analyzes the CIO interview, assessing the agency's information management performance. Part 3 offers literature-supported recommendations organized around specific improvement areas (user experience, personalization, integration, predictive analytics, and security), each tied back to the stewardship framework. This progressive structure — describe, assess, recommend — is well suited to applied IS case analysis at the undergraduate level.
Introduction
Uber, Spotify, and Airbnb are three companies that have revolutionized their respective industries through the use of information systems (IS). All three companies use data-driven technologies to facilitate their services. Uber uses GPS, mapping, and other location technology to provide efficient ride-hailing services. Spotify uses music streaming technology to provide easy access to millions of songs from around the world. Airbnb uses an online platform to enable people to easily find and book short-term accommodations. In each case, policy makers involved in the use of IS must ensure that the appropriate IT infrastructure and software solutions are in place to support the organization's business model, as well as the security of data. They also oversee the development and implementation of any new technologies that may be needed to improve the efficiency and effectiveness of the system.
For this paper, a local government agency CIO was interviewed with respect to a new mobile ticketing system implemented in the city. The following paper describes and discusses the system, the interview with the CIO, what the system has enabled, and what recommendations may be offered to the CIO going forward.
References
Aitzhanova, M., Jangeldinova, M., Kadyr, A., Tuganov, D., El-Thalji, I., & Turkyilmaz, A. (2021, March). Smart ticketing system for Kazakhstan public transport: Challenges and the way forward. In 2021 IEEE European Technology and Engineering Management Summit (E-TEMS) (pp. 46–51). IEEE.
Bian, J., Li, W., Zhong, S., Lee, C., Foster, M., & Ye, X. (2022). The end-user benefits of smartphone transit apps: A systematic literature review. Transport Reviews, 42(1), 82–101.
Brall, C., Schröder-Bäck, P., & Maeckelberghe, E. (2019). Ethical aspects of digital health from a justice point of view. European Journal of Public Health, 29(Supplement_3), 18–22.
Camilleri, M. A. (2020). The use of data-driven technologies for customer-centric marketing. International Journal of Big Data Management, 1(1), 50–63.
Ferreira, M. C., Dias, T. G., & e Cunha, J. F. (2020). Is Bluetooth low energy feasible for mobile ticketing in urban passenger transport? Transportation Research Interdisciplinary Perspectives, 5, 100120.
Kuncara, T., Putra, A. S., Aisyah, N., & Valentino, V. H. (2021). Effectiveness of the e-ticket system using QR codes for smart transportation systems. International Journal of Science, Technology & Management, 2(3), 900–907.
Li, Y., Dai, J., & Cui, L. (2020). The impact of digital technologies on economic and environmental performance in the context of Industry 4.0: A moderated mediation model. International Journal of Production Economics, 229, 107777.
Meuser, J. D., & Smallfield, J. (2023). Servant leadership: The missing community component. Business Horizons, 66(2), 251–264.
Neely, S., Eldredge, C., & Sanders, R. (2021). Health information seeking behaviors on social media during the COVID-19 pandemic among American social networking site users: Survey study. Journal of Medical Internet Research, 23(6), e29802.
Payne, G. T., & Petrenko, O. V. (2019). Agency theory in business and management research. In Oxford Research Encyclopedia of Business and Management.
Pick, J. B., Koohikamali, M., & Dunaway-Perez, J. (2022). Management and mitigation of location privacy violations: Case study analysis of US local governments. The Information Society, 38(2), 147–164.
Polydoropoulou, A., Pagoni, I., Tsirimpa, A., Roumboutsos, A., Kamargianni, M., & Tsouros, I. (2020). Prototype business models for Mobility-as-a-Service. Transportation Research Part A: Policy and Practice, 131, 149–162.
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