Global Studies on Economics, Computation and Society | The Bi-monthly Journal of Performance

Inaugural Issue · Lead Article

Reconstructing the Mathematical Paradigm of Knowledge-Work Performance Evaluation: Theory and Empirical Validation through a Stochastic-Process and Conditional-Expectation Framework

What happens when traditional performance metrics can no longer capture the uncertainty and complexity of knowledge work in the age of artificial intelligence? This paper proposes a new mathematical framework that redefines performance as a stochastic process evolving under incomplete information. By integrating probability theory, econometrics, and management science, the study argues that conditional expectation provides the optimal foundation for evaluating human capability in dynamic organizational systems — offering a rigorous path toward more adaptive and intelligent models of performance assessment.

By Zhi Liu · pp. 3–5

Inaugural Issue

Volume I, Number 1 — July 2026 · Debut publication

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Performance

On Measure
& Method

Studies on Economics, Computation, and Society

Vol. I · No. 1

Inaugural · July 2026

Open issue

The inaugural issue of Performance opens with a Founding Statement from the three co-founders, followed by a lead article that recasts the mathematical paradigm of knowledge-work performance evaluation as a stochastic process under incomplete information. Four further articles extend the inquiry across institutional and social life — university sports facility marketization, a decade of social insurance and welfare law, the empirical development of reading and writing among primary and secondary school students, and the construction of integrity indicators for accounting professionals.

The issue closes with the inaugural Symposium — thirty essays on the scarcity and allocation of resources, from ecological and economic systems to fiscal and taxation research — and the question of what it means to live within limits.

Forthcoming

Accepted for Volume I, Number 2 — September 2026

Article · Accepted Manuscript

A Systems-Oriented Publishing Perspective on AIGC: A Simplified Model of Shadow Pricing

How does generative artificial intelligence reshape the economics of publishing? A systems-oriented framework for understanding AIGC publishing through the lens of shadow pricing, exploring how algorithmic production transforms the allocation of knowledge, attention, and intellectual labor.

Tang Tang

Article · Accepted Manuscript

From Dynamic Programming Models to Large Language Models: A Paradigm Shift

What happens when classical optimization theory encounters large language models? A conceptual transition from dynamic programming to LLM-driven reasoning systems, arguing that artificial intelligence is redefining the mathematical foundations of decision-making and computational knowledge.

Li Liangyue

Article · Accepted Manuscript

The “Glue Layer” of Management Between Financial Accounting and Management Accounting

Why do financial accounting and management accounting often remain disconnected inside organizations? A new managerial “glue layer” links external reporting with internal operational control, offering a more integrated framework for organizational coordination.

Sun Jianjun

Article · Accepted Manuscript

Prospects for Academic Research Topics in Artificial Intelligence and Management

As artificial intelligence transforms organizations and institutions, entirely new research frontiers are emerging within management studies. The next generation of academic questions at the intersection of AI, governance, organizational behavior, and economic systems.

Lv Wendong

Article · Accepted Manuscript

Study of OpEx Management in Next-Generation Economics and Management Research Centers

How should research institutions operate in an era increasingly shaped by interdisciplinary collaboration and intelligent systems? The evolving financial structures of next-generation economics and management research centers, with new approaches to sustainable academic resource management.

Sun Jian