Who controls work decisions when software rules and technical specialists override managerial judgment?

Host: Welcome to A.I.S. Insights — powered by Living Knowledge. I'm Anna Ivy Summers. Today, we're discussing an intriguing study titled "Platform Authority vs Managerial Authority: Who Really Controls Work in Digitised Organisations." It's authored by Josue Kuika Watat, Silvia Masiero, and Gideon Mekonnen Jonathan, and presented at the International Conference on Information Systems. Alex, welcome.

Expert: Thanks, Anna. Great to be here.

Host: Alex, to set the stage: in modern enterprises, we often hear that software tools simply assist decision-makers. But this study examines whether digital platforms actually take over decision-making authority within traditional hierarchies. What is the fundamental issue here?

Expert: The core problem is what the authors term the decoupling of formal and operative authority. In established organizations, managers remain formally accountable for outcomes. Yet, the day-to-day conditions governing whether work can actually proceed are increasingly locked inside digital systems—through hard-coded validation rules, fixed categories, and automated thresholds. While prior research looked closely at algorithmic control in gig work like ride-sharing, this study examines traditional workplaces where managerial roles and digital platforms coexist.

Host: So a manager can sign off on something, but the software refuses to let it advance. How did the researchers investigate this dynamic?

Expert: They conducted a qualitative, practice-based study across three national public health programs in Cameroon—focusing on tuberculosis, HIV, and malaria. These programs rely on the District Health Information Software 2, known as DHIS2, to manage routine reporting and performance tracking. Over eight months, the team collected forty-eight semi-structured interviews across senior management, middle management, frontline staff, and IT specialists, combined with direct observations of reporting sessions and system document analysis.

Host: And what did their analysis uncover about how authority actually plays out?

Expert: They identified three interconnected mechanisms. The first is displacement. A clinical or managerial decision might be completely legitimate in reality, but if it doesn't match pre-coded system parameters, the platform blocks submission. For instance, in one case, a seasonal malaria indicator expected fewer than sixty cases, so an entry of eighty-seven was blocked with an error code, stalling the entire workflow.

Host: So system logic overrides situated professional judgment. How do teams respond to that barrier?

Expert: That leads to workarounds. Staff start anticipating validation errors. In several observed facilities, workers kept what they called the "real book" with actual numbers, while submitting adjusted figures into the platform just to satisfy validation checks and keep workflows moving.

Host: That essentially creates parallel realities within the organization. Where do technical teams come in?

Expert: That brings us to the second mechanism: mediation. When managers hit a technical wall, they turn to IT administrators and data officers. These intermediaries diagnose validation errors, adjust parameters, or reclassify entries under deadline pressure. Although they lack formal executive rank, they act as brokers of operative authority. Without their technical interventions, the work simply cannot move forward.

Host: And the third mechanism?

Expert: Reconstitution. Eventually, an adjusted, validated dataset passes through the platform and becomes the official basis for performance reviews and strategic decisions. Authority temporarily settles again, but it settles around an output that has already been reshaped by platform constraints and intermediary interventions. The authors call this a conditional settlement—a temporary alignment between managerial goals, system rules, and technical fixes that gets reopened with every new reporting cycle.

Host: Looking at this from a business and governance perspective, what are the primary takeaways for organizational leaders?

Expert: First, leaders must recognize that authority over work and authority over data representations are tightly coupled. When systems dictate what can be entered, they dictate operational reality. Second, organizations should audit where validation rules create friction. If staff routinely alter data or rely on shadow spreadsheets to bypass system blocks, the metrics reaching executive dashboards may obscure operational facts. Finally, organizations need clear governance: establishing formal escalation pathways and documenting intermediary interventions, rather than letting informal technical workarounds quietly substitute for managerial oversight.

Host: In short, investing in digital platforms requires designing the governance around who can alter system rules, not just buying the software. Thank you for breaking down the study, Alex, and thank you to our listeners. Join us next time on A.I.S. Insights.