Capital, Continuity & Consequence Evidence into stewardship.
Rigorous sources for capital, continuity and consequence. Research on how families steward wealth, build institutions and carry responsibility across generations—paired with practical ways to put the evidence to work.
A family office is an arrangement of capital, relationships and authority. This journal connects financial evidence with the governance, learning and accountability that make long-term stewardship possible. The first volume brings original source scholarship into conversation with operational solutions: decision records, diligence questions, succession processes and measurable learning.
Each pairing keeps a clear boundary between what the original authors established and what the editorial companion proposes. Source publication dates, authors, journals, existing DOIs and exact Creative Commons rights remain visible.
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Family Office & Private Wealth Management
Explore the proposed bachelor’s and master’s curricula and start a private preliminary application. Academic approval and formal degree enrollment remain pending.
Four reading paths connect governance, private capital, resilient property and accountable financial intelligence. Each source has a practical companion and separate passage agents.
Debt resilience, climate exposure, succession, tenant obligations and accountable AI diligence. Read the flagship argument, then explore the research and its practical companions.
Preeti Sunderaraman; Silvia Chapman; Megan S. Barker; Stephanie Cosentino
PLOS ONE · 2020-07-02 · CC BY 4.0
Adjacent evidence relevant to family-office financial decisions, governance, education or property risk. The original study is not a direct family-office sample; the practical transfer is proposed and limited.
This AI-assisted editorial analysis uses a study of 93 healthy adults to separate confidence in financial decisions from demonstrated understanding. It proposes respectful, task-specific clarification and consent records while preserving personal agency. Research measures are not clinical or legal capacity assessments.
Dorien F. Bangma; Anselm B. M. Fuermaier; Lara Tucha; Oliver Tucha; Janneke Koerts
PLOS ONE · 2017-08-09 · CC BY 4.0
Adjacent evidence relevant to family-office financial decisions, governance, education or property risk. The original study is not a direct family-office sample; the practical transfer is proposed and limited.
This AI-assisted editorial analysis draws on research finding different age relationships across financial decision tasks. It proposes clearer constraint comparisons, documented support preferences and explicit authority without using chronological age as an individual capacity judgment. Laboratory findings do not establish real-world loss prevention.
Armando Aguayo-Mendoza; Ane Irizar-Arrieta; Diego Casado-Mansilla; Cruz E. Borges
PLOS ONE · 2024-03-21 · CC BY 4.0
Adjacent evidence relevant to family-office financial decisions, governance, education or property risk. The original study is not a direct family-office sample; the practical transfer is proposed and limited.
This AI-assisted editorial analysis uses expert elicitation and household survey research to examine energy-investment adoption assumptions beyond price subsidies. It proposes tracking technical fit, perceived control and actual adoption stages. Unvalidated archetypes and inconsistent subgroup statements are disclosed and are not used to target individuals.
This AI-assisted editorial analysis uses a Chinese investor survey to distinguish predicting reported behavior from establishing an individual’s investment needs. The proposed workflow replaces demographic shortcuts with direct preference records, outcome-specific validation and human review. It has not been tested in family offices.
A survey of Malaysian Muslim Islamic unit trust investors links reported intentions with attitudes, subjective norms, financial literacy and fintech self-efficacy. This AI-assisted companion proposes a digital-access and decision-consent process while preserving the distinction between confidence, intention and investment suitability. Reporting inconsistencies in the source are explicitly retained as limitations.
A laboratory lottery experiment found different tendencies to randomize under different payoff structures. This AI-assisted companion translates the study into a proposed audit of decision rules, evidence updates and pattern claims. It does not equate diversified investing with an error or claim the experiment validates a family-office trading strategy.
This AI-assisted analysis uses a Chinese household finance paper to demonstrate how source-quality checks change practical conclusions. A regional lottery-sales proxy is not an individual risk diagnosis, and internal reporting tensions prevent unqualified reuse of some claims. The proposed exposure review focuses on actual assets, contracts and decision records.
A European survey and hypothetical renewable-energy choice experiment links collective environmental motivation with lower money discounting and policy acceptance. This AI-assisted companion proposes separate records for financial underwriting, environmental objectives and stakeholder participation. It does not convert a survey-derived discount rate into an investment hurdle rate.
Adjacent evidence for family-office oversight and financial decisions; no directly studied family-office sample. Deadline discipline: separating risk framing from the time available to decide
AI-assisted editorial analysis. The source compares risky monetary choices presented as stated probabilities with choices learned through sampling. In the description experiment, time pressure interacted with whether outcomes were gains or losses: participants took fewer risky loss choices under pressure, while the increase for gain choices was a nonsignificant trend. The experience experiment found no overall time-pressure effect on risk taking, although some interactions occurred at particular probabilities and payoff levels. It did find less information sampling under pressure. A family office should therefore avoid the simple slogan that rushed people always take more risk or always become conservative.
Crystal Reeck; O’Dhaniel A. Mullette-Gillman; R. Edward McLaurin; Scott A. Huettel
PLOS ONE · 2022-12-16 · CC BY 4.0
Adjacent evidence for family-office oversight and financial decisions; no directly studied family-office sample. Risk conversations across domains without turning personality into a portfolio rule
AI-assisted editorial analysis. The source examines 304 adults recruited from the Duke University and Durham community. Participants completed a forty-item DOSPERT risk questionnaire and a task involving choices between certain payments and probabilistic gains. The analysis found that a domain-general component of questionnaire responses predicted measured financial risk premiums more strongly than the investing-specific component. This is useful evidence that a conversation limited to investment vocabulary may miss relevant attitudes. It does not show that recreational behavior determines a suitable asset allocation or that a general score measures a family’s financial capacity to lose money.
Ibrahim Filiz; Jan René Judek; Marco Lorenz; Markus Spiwoks
PLOS ONE · 2023-02-21 · CC BY 4.0
Adjacent evidence for family-office oversight and financial decisions; no directly studied family-office sample. Warranted reliance on algorithms: make performance and consequences visible
AI-assisted editorial analysis. The source reports an experiment with 143 students at a German university. Participants chose between a human expert and an algorithm in one of six framed service scenarios. The algorithm was assigned a seventy percent success probability and the human expert sixty percent, with the same monetary incentive across scenarios. Participants were less likely to select the algorithm in scenarios perceived as more serious. This provides a useful question for family-office technology governance: does the perceived gravity of a task alter willingness to use a tool even when its performance information is held constant?
Alin Marius Andries; Daniela Balutel; Iulian Ihnatov; Silviu Gabriel Ursu
PLOS ONE · 2020-02-04 · CC BY 4.0
Adjacent evidence for family-office oversight and financial decisions; no directly studied family-office sample. Governance is not a target score: connect oversight to the risks an enterprise can carry
AI-assisted editorial analysis. The source studies large nonfinancial listed companies across ten countries using data from 2004 through 2009. It reports an inverted-U relationship between a composite corporate governance index and a measure of investment risk, followed by positive associations between instrumented risk and growth in sales or assets. The reported turning point of approximately 0.61 belongs to that index, sample and model. It is not a recommended governance score for a family office, and it is not evidence that reducing safeguards will increase returns. The paper is most useful as a prompt to examine how oversight shapes both protection and decision capacity.
A proposed family-office credit review separates repayment capacity from board reputation, translates the source variables carefully and tests conflicts between controlling owners and creditors.
A decision protocol for evaluating growth capital when a retailer learns more about the range or mean of demand. Keep financing need, supplier bargaining power and forecast quality separate.
Adjacent family-business succession research. Informs cautious design of delegated responsibility and feedback in family offices; does not directly study family offices.
A proposed succession-development process translates Miller’s multi-rater family-business research into bounded authority, confidential feedback and accountable learning, while preserving the limits of cross-sectional evidence.
Verified 2026-11-01. Targeted publisher and institutional-repository search across family-office finance, succession, private markets, philanthropy, impact and digital risk. This is a selected founding collection, not a claim that all eligible literature has been exhausted. The women-in-wealth collection adds 25 selected licensed studies, not an exhaustive systematic review. The separately linked SSRN directory is not counted as reproduced research. The real-estate legacy collection adds nine article-specific CC BY 4.0 research sources, nine source companions, one flagship synthesis and its operating protocol. The research-into-practice expansion adds 103 article-verified CC BY 4.0 sources and 103 original practical companions. Metadata discovery candidates are excluded from publication totals. DOIs and normalized titles are unique within this volume and were compared with the retained static open-research, APA and Stanford OJS catalog snapshot. Runtime-only additions and prior review queues were not fully available; network-wide novelty is not claimed. No increase to the 7,000-paper total is asserted. The solutions companions are AI-assisted editorial research analyses; they do not report new participant data or claim independent peer review.