A STUDY ON THE COLLABORATIVE MECHANISM OF DIGITAL ARCHIVES GOVERNANCE AND TALENT GOVERNANCE: AN ANALYSIS BASED ON JOB COMPETENCY, PERFORMANCE EVALUATION, AND ORGANIZATIONAL EFFECTIVENESS

A STUDY ON THE COLLABORATIVE MECHANISM OF DIGITAL ARCHIVES GOVERNANCE AND TALENT GOVERNANCE: AN ANALYSIS BASED ON JOB COMPETENCY, PERFORMANCE EVALUATION, AND ORGANIZATIONAL EFFECTIVENESS

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  • Wang Biao

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https://doi.org/10.5281/zenodo.19818094

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digital archives governance; talent governance; job competency; performance evaluation; organizational effectiveness

##article.abstract##

Against the backdrop of deepening digital transformation, archives management is rapidly
shifting from a traditional custodial function toward an integrated governance function oriented to compliance,
accountability, risk control, knowledge support, and organizational coordination. Yet many organizations still
face a persistent contradiction in practice: they emphasize systems and platforms but neglect talent governance;
they stress technological investment but underinvest in job-role mechanisms; and they focus on filing outputs
while overlooking capability transformation. As a result, the authenticity, integrity, usability, and security of
digital archives remain difficult to stabilize, and the contribution of archives work to performance improvement
and organizational effectiveness is not fully realized. In response, this study systematically integrates digital
archives governance theory, job competency research, human capital theory, talent management research,
the AMO framework, and organizational performance theory. Using a conceptual modeling approach within
the design science research paradigm, it constructs a “Collaborative Mechanism Model of Digital Archives
Governance and Talent Governance.” The model consists of five interconnected modules: governance
objectives and institutional foundations, job competency identification, talent-governance mechanism design,
performance evaluation and value transformation, and feedback optimization with organizational learning.
The study argues that only when institutions, processes, technology, job allocation, training and development,
performance evaluation, and incentive-feedback mechanisms are integrated into the same closed loop can
digital archives governance capacity be transformed into efficiency gains, risk control, service optimization, and
long-term governance value at the organizational level. This study not only provides a systematic framework for
cross-disciplinary research between archives management and human resource management, but also offers
actionable guidance for organizations seeking to optimize archival talent governance and modernize digital
archives governance.

##submission.authorBiography##

Wang Biao


Zibo Housing Provident Fund Management Center, No. 190 Liantong Road, Zhangdian
District, Zibo, Shandong 255100, P.R. China.
“Silk Road” International University of Tourism and Cultural Heritage, 17 University
Boulevard, Samarkand, 140104, Republic of Uzbekistan.


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##submissions.published##

2026-04-01
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