GRIT™ Research Articles | Nader Bagherzadeh
Questions and conceptual inquiry into human judgment, coherent decisions, and responsible impact
Where do consequential decisions come from—and how do organisational conditions shape what people are able to notice, question, and do?
This collection extends the questions and conceptual propositions introduced in The Global Rare Impact Theory (GRIT™): From Inner Rare Authenticity to Global Impact.
The articles examine possible relationships among Inner Rare Authenticity™, human judgment, Decision Coherence, ethical leadership, organisational behaviour, institutional conditions, and responsible AI governance.
These contributions are research-informed and practice-informed. Unless explicitly stated otherwise, they should not be interpreted as reports of empirical validation or peer-reviewed findings. They are published to invite critical examination, interdisciplinary dialogue, theoretical refinement, and future empirical research.
Areas of Inquiry
The developing collection examines questions relating to:
- the origins of human judgment;
- Decision Coherence in organizational life;
- ethical leadership and institutional responsibility;
- Inner Rare Authenticity™ as proposed ethical infrastructure;
- organizational conditions that support or constrain responsible action;
- human judgment and responsible AI governance;
- pathways from conceptual propositions to empirical research.
An Invitation to Academic Dialogue
GRIT™ is presented as an open, developing, transdisciplinary research programe. Constructive critique, alternative interpretations, and potential research collaborations are welcome.
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The Global Rare Impact Theory (GRIT™): From Inner Rare Authenticity to Global Impact by Nader Bagherzadeh presents the conceptual architecture of GRIT™, exploring the journey from Inner Rare Authenticity™ and the Rare Inner Code™ to Decision Coherence, Ethical Leadership, Human Judgment in the Age of AI, and Responsible Impact.
Awareness of Decision Origin in AI-Mediated Organizational Judgment: A Candidate Pre-Decisional Construct and Research Agenda
Latest Research Paper
Can decision-makers recognize and distinguish materially relevant influences shaping their judgment while that judgment is still being formed?
This paper proposes Awareness of Decision Origin (ADO) as a candidate pre-decisional construct concerned with whether materially relevant influences shaping judgment become recognizable and distinguishable before commitment to a consequential decision.
These influences may be internal, organizational, social, technological, or situational.
Abstract
Artificial intelligence is increasingly embedded in organizational decision processes through recommendations, rankings, predictions, summaries, risk assessments, and generated alternatives. Human decision-makers may nevertheless remain formally responsible for the choices that follow. Formal human involvement, however, does not reveal how the underlying judgment was formed, which influences shaped it, or whether those influences became available for examination before commitment.
This article develops a pre-decisional question: can decision-makers recognize and distinguish materially relevant influences shaping their judgment while that judgment is still being formed? It proposes Awareness of Decision Origin (ADO) as the situated recognition and differentiation of materially relevant influences shaping judgment before commitment to a consequential decision. Such influences may be internal, organizational, social, technological, or situational.
The proposed construct is positioned in relation to metacognition, source monitoring, algorithmic reliance, automation bias, human oversight, decision provenance, and emerging accounts of human agency in AI-mediated environments. Its intended distinction is not whether a person can identify the source of information, accepts or rejects AI advice, or retains formal authority. The narrower issue is whether materially relevant influences become sufficiently recognizable and differentiable to enter examination while the decision remains open.
The article establishes boundaries separating influence awareness from agency, voice, authority, decision quality, and subsequent action, and develops a staged research programme beginning with qualitative construct elicitation. Subsequent tests include discriminant and incremental validity, experimental manipulation of judgment-shaping influences, behavioral correspondence, and organizational field research.
ADO remains a conceptual proposal. Its status as a separate construct depends on future evidence that the phenomenon is coherent, empirically detectable, and sufficiently distinct from neighboring constructs. If those conditions are not supported, ADO should be narrowed, integrated with existing theory, reorganized, or abandoned.
Keywords: Awareness of Decision Origin; Human Judgment; AI-Mediated Decision-Making; Organizational Decision-Making; Human–AI Interaction; Pre-Decisional Awareness; Metacognition; Human Oversight; AI Governance; Organizational Behavior.
Author: Nader Bagherzadeh
Published: September 2026
DOI: 10.2139/ssrn.7463999
Where Do Organizational Decisions Come From?
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Human Judgment, Institutional Conditions, and Decision Coherence
Can the quality of an organizational decision be understood without examining both the human judgment behind it and the institutional conditions that shape it?
This article explores Decision Coherence as a conceptual lens for examining how personal values, professional roles, incentives, authority structures, organizational norms, and technological systems may interact in responsible decision-making.