Established knowledge. New questions. Better methods.
Systems thinking, operations research, economics and data science give us a place to begin. Explore the independent publications behind our questions, then read original MereSimplicity work when its methods and results are ready to share.
An essay on how the structure of a system shapes its behaviour, from feedback and information flows to rules, goals and underlying assumptions.
Informs our approachInforms business-system mapping and the questions we ask about delays, feedback, information access and potential points of improvement.
A field experiment in Indian textile plants examined how changes in management practices affected productivity, quality and inventory.
Informs our approachInforms how we frame operational investigations, establish baselines and distinguish a measured change from a plausible improvement idea.
Wil van der Aalst et al. · IEEE Task Force on Process Mining
A shared research agenda and set of principles for using event records to discover processes, compare observed behaviour with models and investigate improvements.
Informs our approachInforms evidence planning: which activities, case identifiers and timestamps a process investigation needs before analysis begins.
A mathematical relationship connecting the average number of items in a queueing system, its average arrival rate and the average time spent in that system.
Informs our approachInforms questions about waiting times, order queues, work in progress and the records needed to measure a consistent process boundary.
Interview-based research examines how undervalued data work and unresolved data problems can lead to compounding failures in high-stakes AI projects.
Informs our approachInforms evidence-readiness checks, source provenance and the decision to improve data collection before selecting analytical models.
Firm-level evidence examines the relationship between information technology, workplace organisation, new products and services, and workforce skills.
Informs our approachInforms Build discovery: understand responsibilities, workflows and team capabilities before deciding what software or integration to introduce.
Original methodologies, experiments, prototypes, benchmarks and validation reports belong here when their methods and results are documented and publication is authorised.
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No original research reports are listed in this collection yet.
Our evidence standard
A foundation for the method. A standard for the result.
The external publications were created by independent authors and institutions. Our reading notes explain how they inform MereSimplicity’s approach; those connections are our editorial interpretation.
Published research does not establish that MereSimplicity’s developing engine works. That requires our own testing, validation and documented results. A peer-reviewed study, a mathematical result and a practice framework answer different kinds of questions.
We link to original sources, identify assumptions and distinguish external research from our own work. Inclusion does not imply endorsement or partnership. Papers remain with their authors and publishers.