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Digital Resources Collaborative Optimization of Enterprise Service Efficiency

Jiangwei Li

International Journal of Information Systems in the Service Sector2026https://doi.org/10.4018/ijisss.403121article
AJG 1
Weight
0.50

What the paper says

Digital transformation in the service sector is often hampered by a disconnect between technological investment and performance gains. This study addresses this core information resource management (IRM) challenge by introducing a “Dual-Cycle Orchestration” framework. Grounded in the Resource-Based View and Dynamic Capabilities Theory, the framework posits that operational efficiency stems from synergizing the internal reconstruction of digital resources with the external acquisition of complementary resources. Analyzing panel data from Chinese A-share listed companies (2012-2024) through text mining and econometric models, the authors find that internal digital intensity boosts efficiency, an effect significantly amplified by mature regional digital infrastructure. Notably, the transformation path and sensitivity to infrastructure differ between manufacturing and service industries. The findings offer actionable IRM guidance for service enterprises and strategically aligning digital resource integration with external ecosystems and industry-specific contexts.

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https://doi.org/https://doi.org/10.4018/ijisss.403121

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@article{jiangwei2026,
  title        = {{Digital Resources Collaborative Optimization of Enterprise Service Efficiency}},
  author       = {Jiangwei Li},
  journal      = {International Journal of Information Systems in the Service Sector},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.4018/ijisss.403121},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.