The Effect of Artificial Intelligence Technology in the Service Efficiency of 12345 Hotline in Xi’an, China
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This study investigates the effect of artificial intelligence technology on the service efficiency of the 12345 government hotline in Xi’an, China. Using a quantitative research design and purposive sampling, data were gathered from 128 AI company staff, 93 hotline operators, and 29 AI experts through a researcher-made questionnaire and analyzed using SPSS. Weighted-mean and ANOVA analysis reveal significant correlations between service efficiency and six AI applications — intelligent voice navigation, seat assistance, call-out follow-up, quality-inspection analysis, knowledge base, and intelligent management — with voice navigation emerging as the most influential factor and knowledge base the least. An overall weighted mean of 4.19 confirms AI’s positive impact on hotline performance, with significant differences observed by sex and educational background. Based on these findings, the study proposes an enhanced strategic management plan for AI deployment in government hotline services.
Dr. Gen Liu is an academic researcher and specialist in public administration, digital governance, and public service optimization. He is the author of the research study titled "The Effect of Artificial Intelligence Technology in the Service Efficiency of 12345 Hotline in Xi'an, China." Dr. Liu's work focuses on the intersection of civic technology and administrative efficiency, specifically evaluating how smart technologies transform municipal communication channels. His research provides critical insights into the integration of artificial intelligence within public sector workflows, utilizing the Xi'an 12345 government hotline as a core case study to measure real-world advancements in operational speed, data management, and public service delivery.
T A B L E O F C O N T E N T S
ACKNOWLEDGMENT i
DEDICATION iii
ABSTRACT v
CHAPTER 1: INTRODUCTION
The Problem and Its Background 1
Significance of the Study 4
Review of Related Literature 5
Theoretical Framework 15
Conceptual. Framework 18
Statement of the Problem 20
Hypothesis of the Study 21
Definition of Variables 21
Scope and Delimitation of the Study 23
CHAPTER 2: METHODOLOGY
Research Design 25
Participants and Sampling Procedures 26
Research Locale 28
Research Instrument 28
Data Gathering Procedure 30
Data Analysis 31
CHAPTER 3: RESULTS AND DISCUSSION
Demographic Profile of the Respondents 35
CHAPTER 4: SUMMARY, CONCLUSIONS AND RECOMMENDATIONS
Summary of Findings 60
Conclusions 62
Recommendations 63
REFERENCES 79
APPENDICES 89
Request Letter to Conduct Study 89
Validation Sheet 90
Attached Instrument/Survey/Questionnaire 92