Search arXiv⌕ Search
Home/Archive/arXiv

arXiv · 2501.02468

The Explore of Knowledge Management Dynamic Capabilities, AI-Driven Knowledge Sharing, Knowledge-Based Organizational Support, and Organizational Learning on Job Performance: Evidence from Chinese Technological Companies

Jun Cui
View original source ↗Read source document ↗Export metadata ↓

Abstract

Drawing upon Resource-Based Theory (RBT) and the Knowledge-Based View (KBV), this study investigates the impact of Knowledge-Based Organizational Support (KOS), AI-Driven Knowledge Sharing (KS), Organizational Learning (OL), and Knowledge Management Dynamic Capabilities (KMDC) on Organizational Performance (OP) in Chinese firms. In particular, this research explores the relationships among these factors, alongside control variables such as education level, staff skills, and technological innovation, to provide a comprehensive understanding of their influence on performance management. While recent studies on organizational performance have predominantly concentrated on digital business strategies and high-level decision-making, limited attention has been given to the role of digital maturity, workplace activities, and communication-related dynamics. This study addresses these gaps by consolidating critical factors that contribute to overarching job performance within organizations. Moreover, to empirically test the proposed hypotheses, data were collected from 129 valid questionnaires completed by employees across various Chinese firms. The research employed confirmatory factor analysis (CFA) to validate the measurement constructs and structural equation modeling (SEM) to evaluate the hypothesized relationships. The findings reveal several significant insights: (1) KOS, KS with AI, KMDC, and OL each have a direct positive effect on OP, emphasizing their critical roles in enhancing organizational outcomes. (2) Control variables, including education level, staff skills, and technological innovation, significantly moderate the relationships between KOS, KS with AI, KMDC, OL, and OP, further amplifying their impact.

Explore related subjects

econ.GNq-fin.EC

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Jun Cui. 2025-01-05. The Explore of Knowledge Management Dynamic Capabilities, AI-Driven Knowledge Sharing, Knowledge-Based Organizational Support, and Organizational Learning on Job Performance: Evidence from Chinese Technological Companies. https://arxiv.org/abs/2501.02468

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

arXiv2026

The Burst Market: The Next Leap for Humanity

Many useful human contributions remain unexchanged because exchange frictions exceed their value. This conceptual paper proposes the Burst Market (BM): a market for brief, paid, immediate human services delivered through live video. BM seeks to lower the minimum viable exchange through PIVOT: Provider-set price, Immediate access, Video interaction, Open participation, and Time-metered payment. A four-part friction map covers buyer access, provider market access, capability packaging, and assurance and governance. BM identifies seven rebalances, including AI job disruption versus underused human capability, and serves both scarce and underused capacity. As generative market infrastructure, BM may let people create services that established occupations and platforms cannot foresee. Seven conceptual propositions organize its mechanisms and predictions. If these effects emerge at scale, BM could represent the next leap for humanity.

econ.GN↗
arXiv2026

Local Media and the Shaping of Social Norms: Evidence from the Ebola outbreak

Media's influence on norms and behavior is widely recognized. Less is known about the role played by media being local. I examine this in a high-stakes context, the Ebola outbreak in Guinea. I exploit quasi-random variation in access to radio and the timing of a public-health campaign aired on community radio. I find that 12-17% of Ebola cases could have been prevented if places with access to a neighboring community radio station had instead had their own. Impacts are driven by radio being local rather than by ethno-linguistic belonging. Local media facilitates coordination in behaviors observed and sanctioned locally.

econ.GN↗
arXiv2026

A minimal model of money creation under regulatory constraints

We propose a minimal model of the secured interbank network able to shed light on recent money markets puzzles. We find that excess liquidity emerges due to the interactions between the reserves and liquidity ratio constraints; the appearance of evergreen repurchase agreements and collateral re-use emerges as a simple answer to banks' counterparty risk and liquidity ratio regulation. In line with prevailing theories, re-use increases with collateral scarcity. In our agent-based model, banks create money endogenously to meet the funding requests of economic agents. The latter generate payment shocks to the banking system by reallocating their deposits. Banks absorbs these shocks thanks to repurchase agreements, while respecting reserves, liquidity, and leverage constraints. The resulting network is denser and more robust to stress scenarios than an unsecured one; in addition, the stable bank trading relationships network exhibits a core-periphery structure. Finally, we show how this model can be used as a tool for stress testing and monetary policy design.

econ.GN↗