Adjacent Research and the Integrative Gap

The conceptual foundation for EOE draws from several research streams. The MIS, DSS, EIS, BI, and dashboard lineage explains how managerial and executive information access has been structured and how decision support has been framed. Attention and sensemaking research explains why executive work cannot be reduced to exposure to information; executives allocate attention under constraints, interpret ambiguity, and act within situated agendas (Ocasio 1997; Weick 1995; Endsley 1995). Situation awareness, cognitive systems engineering, distributed cognition, and CSCW explain why awareness and coordination emerge through joint cognitive work, representations, artifacts, roles, and repair rather than through private mental states alone (Endsley 1995; Hutchins 1995; Hollnagel and Woods 2005; Schmidt and Bannon 1992).

Conversation research contributes a second foundation. Speech-act theory, conversation for action, grounding, and situated action show that conversation can create commitments, repair misunderstandings, coordinate attention, and transform meaning when connected to shared artifacts and social contexts (Winograd and Flores 1986; Clark and Brennan 1991; Suchman 1987; Schmidt and Bannon 1992). This literature also limits the claim. Chat alone is not an operating experience. Conversation becomes organizationally consequential only when it is grounded in structured representations, authority, evidence, and memory.

Human-AI interaction and automation research provide a third foundation. Trust in automation, explainable AI, responsible AI, and design guidelines for human-AI interaction show the need for calibrated reliance, uncertainty communication, meaningful human oversight, explanation, and error recovery (Lee and See 2004; Parasuraman and Riley 1997; Amershi et al. 2019; Miller 2019; NIST 2023; NIST 2024). These streams are necessary but insufficient on their own because executive operation also involves organizational authority and institutional consequence. A useful recommendation is not yet a decision; a decision is not yet authorization; authorization is not yet an action trace; and action is not yet learning.

EOE also differs from mixed-initiative interaction and human-AI teaming in its unit of analysis. Mixed-initiative and teaming traditions help explain how humans and computational systems share tasks, initiative, explanation, and repair. EOE uses those insights, but narrows the problem to authority-bearing executive operation. The central question is not only whether the human and AI collaborate effectively, but whether their collaboration preserves evidence, uncertainty, provenance, contestability, decision rights, authorization, and memory when organizational consequences follow.

Memory and temporality research provide a fourth foundation. Organizational memory, transactive memory, organizational learning, and temporal structuring explain how organizations retain, retrieve, forget, sequence, and make use of past action across time (Walsh and Ungson 1991; Orlikowski and Yates 2002; Wegner 1987). This foundation is essential because executive briefings are not isolated moments. A briefing often resumes prior concerns, tests whether commitments moved, compares outcomes with rationale, and determines what should be carried forward. Operating memory is therefore more than transcript storage. It is governed retention of episode traces, evidence, rationale, unresolved matters, dissent, outcomes, and learning.

Governance and organization design provide a fifth foundation. Decision rights, delegation, accountability, board and top-management-team processes, informal power, and governance capacity determine whether an executive operating episode can convert understanding into legitimate action. This literature is not merely a contextual supplement. It constrains the theory because authority cannot be reduced to system access, permission settings, or interface confirmation. An executive may see a recommendation and still lack the right to authorize it; a team may share a briefing and still lack the psychological safety required to contest it; a delegated decision may be valid for one horizon and invalid for another. EOE therefore treats governance as an operating condition rather than an administrative layer. Existing verified sources support the governance boundary through AI risk management, organization information processing, and top-management-team relevance, while formal decision-rights, delegation, board governance, organizational politics, and psychological-safety sources remain part of the evidence backlog before submission (NIST 2023; NIST 2024; Tushman and Nadler 1978; Hambrick and Mason 1984).

Table 2, Literature Function Map, positions these streams by manuscript function. It identifies what each stream contributes, which constructs or mechanisms it supports, and which limitations remain. The integrative gap is not that prior work ignored executives, decisions, dashboards, conversation, memory, or AI. The gap is that these elements have not been specified together as one governed executive operating episode for AI-native organizations.

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Table 2. Literature Function Map

This gap is especially visible at the boundary between cognition and authority. Situation awareness and sensemaking help explain how actors understand changing conditions. Decision-support and analytics literatures help explain how information and models can assist judgment. Human-AI interaction research helps explain reliance, explanation, and control. Governance and organization design explain rights and accountability. Yet executive operation requires these domains to meet in one episode. If they remain separate, systems can produce awareness without authority, recommendations without responsibility, conversation without commitment, memory without learning, or automation without legitimacy. EOE is proposed as a bridging construct for this integration.