Research note
Which Fields Reduce Partial-Day Leave Mismatches?
A synthetic study of dates, times, zones, units, and downstream records.
Published
Table of contents
Research question and evidence frame
Research question: Which field set helps reviewers detect a partial-day mismatch across an approval, calendar, time record, and payroll handoff?
Method: Build seventy-two synthetic cases with explicit times, zones, units, and destination states. Seed transcription, rounding, full-day conversion, and delayed-update errors.
Method and measurement
Measures: Report false clearance, correct mismatch detection, cannot-determine decisions, and review time. Lock the classification and calculation rules before review.
Decision boundary: Reviewers identify evidence conditions. They do not determine entitlement, balances, rounding policy, payroll treatment, or employee outcomes.
Controls, limitations, and governance
Limitations: The study excludes overnight shifts, changing schedules, regional holidays, and live personal data. A live pilot needs approved definitions, privacy review, an audit trail, and a stop condition.
References: National Institute of Standards and Technology, Cybersecurity Framework 2.0 (https://doi.org/10.6028/NIST.CSWP.29); National Institute of Standards and Technology, Privacy Framework 1.0 (https://doi.org/10.6028/NIST.CSWP.01162020); U.S. Government Accountability Office, Standards for Internal Control in the Federal Government, GAO-14-704G (https://www.gao.gov/products/gao-14-704g); Philippine Statistics Authority, Annual Survey of Philippine Business and Industry (https://psa.gov.ph/statistics/annual-survey-philippine-business-and-industry). These publications provide control, privacy, evidence, and sector context. They do not evaluate Outsourced Employment or these synthetic cases.