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ZENODO
Other literature type . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
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INTEGRATION OF CRM AND CLOUD TECHNOLOGIES IN ENHANCING SERVICE SECTOR ENTERPRISE EFFICIENCY IN THE DIGITAL ECONOMY

Authors: Zokirova, Umidabonu; Zokirov, Sanjar;

INTEGRATION OF CRM AND CLOUD TECHNOLOGIES IN ENHANCING SERVICE SECTOR ENTERPRISE EFFICIENCY IN THE DIGITAL ECONOMY

Abstract

This study examines the operational efficiency outcomes of CRM–cloud integration among 214 service sector firms in Tashkent, Uzbekistan (2021–2023). Five key performance indicators (KPIs) showed statistically significant improvement following integration: customer response time fell 68.6%, administrative workload declined 72.8%, customer retention rose 15.8 percentage points, revenue per customer grew 21.4%, and data entry error rates dropped 93.7%. OLS regression identifies integration depth as the dominant predictor of efficiency gain (β = 0.72, R² = 0.61, p < 0.001), with staff training intensity as a significant positive moderator. The study advances an evidence-based integration framework and actionable recommendations for service enterprise managers and digital economy policymakers in Uzbekistan.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average