Volume 01 defines Revenue Operations as a field of study and practice. Its four issues examine the discipline's history and methods, the design of revenue models and go-to-market systems, the impact of artificial intelligence, and CRM as organizational infrastructure.
History, definition, boundaries, methods, infrastructure, credentialing, and the prospects for a coherent field.
Editorial scope
Defines the field through its history, core concepts, sub- and super-disciplines, stakeholders, methodological standards, infrastructure, credentialing gap, and prospects—including AI as a force reshaping the discipline.
Evidence, governance, labor, and system design as machine intelligence enters the commercial organization.
Editorial scope
Treats AI as an institutional and methodological change: automation, augmentation, agentic work, data rights, evaluation, governance, labor, accountability, and the redesign of commercial decision systems.
The customer record as strategy, operating process, technical system, and contested organizational memory.
Editorial scope
Revisits CRM as strategy, process, technology, and institutional memory, including data models, adoption, lifecycle governance, system economics, measurement, interoperability, and the causes of implementation failure.
Forthcoming entries are editorial plans, not published issues. Their titles, scopes, and sequence remain provisional; articles and identifiers are assigned only after editorial release. Any plan not released by December 31 moves to the next calendar-year volume rather than being backdated.