Information Asymmetry, Tacit Knowledge, and Digital Governance in Long‑Term Care

Long-term care facilities rely on continuity of information and practical know-how. When processes remain informal and career mobility is limited, information asymmetries emerge and slow down innovation. Scheduling and training systems should be designed as governance.

Keywords

information asymmetrytacit knowledgelong-term carenursing homesworkforce managementschedulingtrainingorganizational governancechange management

References

Akerlof, G. A. (1970). The Market for Lemons: Quality Uncertainty and the Market Mechanism. The Quarterly Journal of Economics.
Nonaka, I., & Takeuchi, H. (1995). The Knowledge-Creating Company. Oxford University Press.
Kotter, J. P. (1996). Leading Change. Harvard Business School Press.
World Health Organization. (2015). World Report on Ageing and Health.
OECD. (2020). Who Cares? Attracting and Retaining Care Workers for the Elderly.

Long-term care facilities and nursing homes operate in high‑interdependence environments, where care quality depends materially on information continuity and the practical know‑how of frontline staff. In these settings, limited upward mobility and weak process formalization can foster internal information asymmetries—patterns of unequal access to operational knowledge—that, in turn, slow down organizational innovation and digital adoption.

1. Purpose and scope

This article proposes a multidisciplinary framing—information economics, knowledge management, and change management—to support the introduction of digital systems for workforce scheduling and internal training in long‑term care settings. The objective is not merely technological: such systems should be treated as governance mechanisms that increase transparency, safety, perceived fairness, and organizational resilience.

2. Context: complexity, continuity, and care work

Long‑term care combines standardized tasks with highly variable individual needs. Continuity of care requires reliable information transfer across shifts and professional roles. The World Health Organization highlights the need to strengthen workforce management and continuous training in ageing and long‑term care systems (WHO, 2015).

3. Information asymmetry as an organizational lever

Information asymmetry describes situations in which some actors hold relevant information that is not equally accessible to others. In economics, it is a driver of inefficiency (Akerlof, 1970). In organizations, it can become a source of informal power. In long‑term care, this often happens when operational knowledge—the actual routines, workarounds, and “how things really get done”—is not codified and remains concentrated in a few “key operators.”

4. Tacit knowledge and systemic fragility

Nonaka & Takeuchi distinguish explicit knowledge (documentable) from tacit knowledge (experiential and context‑dependent) (Nonaka & Takeuchi, 1995). In long‑term care, a significant part of care quality relies on tacit knowledge: residents’ habits, early warning signals, and situational adaptations. If tacit knowledge is not progressively externalized into shared, explicit knowledge, the organization becomes fragile—especially under turnover, unexpected absences, and discontinuities between shifts.

5. Why digitalization may meet resistance

Digitalization makes part of previously “owned” knowledge explicit and shareable. In flat‑career environments, this can be perceived as a loss of status or an erosion of informational advantage. A non‑blaming interpretation frames resistance as an adaptive response to systems that historically did not reward knowledge sharing.

6. Digital scheduling as governance (not just administration)

A scheduling system increases transparency on assignment criteria, reduces interpersonal conflict, enables decisions based on historical data, and makes workloads and coverage measurable. From an organizational perspective, it shifts coordination from informal negotiation toward structured planning.

7. Digital internal training and operational safety

Internal training is frequently non‑systematic and poorly traceable. Digital training systems—micro‑modules, standardized procedures, checklists, competency tracking—support uniformity, audit readiness, and continuous updates. From a patient‑safety perspective, structured and traceable training helps reduce procedural errors and preventable adverse events.

8. Change management implications

Change management literature shows that innovation fails when informal power dynamics and implicit incentives are not addressed (Kotter, 1996). Effective adoption requires clear sponsorship, explicit objectives (safety, fairness, sustainability), involvement of experienced staff, and a structured enablement path (training, feedback loops, iterations).

9. Conclusions

In long‑term care, information asymmetries are often predictable outcomes of high interdependence and weak formalization. Digital workforce scheduling and internal training—designed as governance rather than “just technology”—can improve care quality, organizational resilience, internal fairness, and operational risk reduction.