Research into practice. Judgment into stewardship.
A disciplined reading path for families who govern capital. Each attributed research edition sits beside an original practical companion, with a separate passage agent for each work.
Family-office research is complemented by relevant studies of family businesses, capital markets, property and financial decisions. Each article states the setting actually studied. An application to a family office is an editorial inference, not a claim that every original study sampled family offices.
Machine learning can reveal structured appraisal errors without acquiring the authority to determine value or approve a transaction. This companion proposes a human-led validation protocol for family offices that want to use model-assisted appraisal challenges while controlling data leakage, weak comparability, misleading explanations and unreviewed overrides.
A circular-building framework becomes useful when a project team can turn its concepts into choices, evidence and responsibilities. This companion draws on action design research in a Dutch historic office building to propose a practical workshop process for family owners considering reuse, with explicit treatment of technical constraints, regulatory uncertainty and future adaptation.
Property listings are timely and accessible, but they are not equivalent to completed transactions. This companion proposes a data and decision firewall that lets family offices use listings for market monitoring while preventing advertised prices, duplicate advertisements and unverified outcomes from silently becoming portfolio values.
Tom Gillespie; Ronan C. Lyons; Thomas K. J. McDermott
Environmental and Resource Economics · 2025-03-10
Flood disclosure, property valuation and intergenerational property stewardship. Adjacent housing-market evidence rather than a direct family-office study.
Flood exposure and the market recognition of that exposure are separate risks. Gillespie, Lyons and McDermott study the release of Irish flood maps in 2011 and estimate a persistent price discount for exposed housing. This companion translates their identification strategy and limitations into a proposed family-office process: retain dated hazard information, separate physical loss from repricing, challenge appraisals, and prepare for disclosure changes before a transaction. It does not recommend a universal valuation haircut or claim that the proposed process has been empirically validated.
An explanation is useful only when it answers a consequential question for an accountable decision maker. This companion translates a systematic review of explainable AI in finance into an evidence contract for vendor selection, acceptance testing and ongoing review. The proposed contract separates predictive performance, explanation fidelity and operational usefulness; it has not been validated as a new intervention.
People may reject an algorithm because they expect weak performance or because they demand a different threshold before trusting it. This companion turns that distinction into an onboarding and evaluation protocol that seeks warranted reliance rather than higher adoption. The protocol preserves human responsibility and evaluates expectations and reliance separately.
During market stress, an urgent transaction can reflect a genuine cash need, a changed investment thesis or an untested reaction. This companion proposes a crisis decision record that makes those reasons inspectable without imposing a blanket hold-or-sell rule. It draws on evidence linking overconfidence and reported panic selling in Japan.
A family office should not equate digital comfort with financial understanding or infer a person’s needs from age or gender. This companion proposes an onboarding process that separately tests usefulness, usability and comprehension. It draws on a study of robo-advisor acceptance while preserving the limits of a small, highly educated sample.
Phishing protection should test a person’s verification process rather than presume vulnerability from age. This companion proposes a consent-based rehearsal using fictional messages and safe credentials, grounded in research on suspiciousness and executive functioning. It distinguishes recognizing a suspicious message from preventing an actual financial loss.
A low number of reported scams can coexist with serious losses or repeated victimization. This companion proposes a harm-oriented fraud review for family offices, separating exposure, reporting, loss, recurrence and recovery. It draws on a probability-sample study while avoiding demographic risk labels for individual family members.
A protective message can increase awareness while making everyday life feel unsafe. This companion proposes evaluating fraud-prevention communication for both useful protective behavior and unintended fear. It draws on research with older adults and keeps support, autonomy and financial controls distinct.
Mark Button; David Shepherd; Chloe Hawkins; Jacki Tapley
Crime Prevention and Community Safety · 2024-10-23
Provides an actionable distribution and follow-up system for family protection, including people who are isolated or do not routinely use digital channels.
A family office can produce excellent fraud guidance that never reaches the person who needs it. This companion proposes a delivery register, consent-based trusted contacts and practical teach-back to close that gap. It treats channel preference as a design input rather than proof that a particular communication prevents loss.
This expansion has added 208 works toward the requested 4,000: 2,000 source editions and 2,000 practical companions. The 104 works already in the journal are excluded from that target.
5.2% of the requested expansion published.
Article-specific license, metadata and source checks are recorded separately from human peer review. New practical companions are AI-assisted editorial analyses; no independent human peer-review acceptance is asserted. Recorded independent human acceptance for the new companions: 0. Source authors, original journals, publication dates and existing DOIs remain unchanged.
1,778 further metadata-screened leads are retained for investigation. Potential sources only. Publisher/version rights, full text, quality, retraction and related-version checks remain to be completed. They do not count as published articles or agents.
Checked DOI, source-version DOI and normalized title in available repository catalogs. Live submissions and all earlier review queues were not fully available; platform-wide novelty is not claimed.