Research, Writing, & Communication: Deep, AI-Assisted, Verified, & Valid (DAVV)

Research, Writing, & Communication (DAVV) — Evergreen Edition Research, Writing, & Communication (DAVV): Deep, AI-Assisted, Verified, and Valid is the first MBA-level business research textbook written for the agentic era. Across fifteen chapters, Dr. Daniel W. Sloan reconstructs the entire research lifecycle around one operating discipline: work must be Deep, AI-Assisted, Verified, and Valid. The DAVV framework — together with the Expert-in-the-Loop model, the Adapt–Adopt–Assimilate cycle, and the Cognitive Wall — gives graduate researchers a defensible posture toward AI copilots: engage them deeply, verify them relentlessly, and never surrender the judgment call. Anchored by a running consulting case at Delta-Rho Analytics, the Evergreen Edition pairs classical methodology — research design, sampling, measurement, hypothesis testing, and predictive modeling — with the instruments shaping 2026 practice: agentic literature review, synthetic respondents, generative business intelligence, computer vision, and causal machine learning. Every chapter closes with a "Returning to Delta-Rho" scenario that shows what a steering committee could actually trust. Written for MBA students, doctoral candidates, and executive researchers, this Evergreen Edition is designed to remain the standing reference for defensible, human-directed business research as the tools around it continue to evolve.