<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="/oai2.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-11-10T10:21:06Z</responseDate><request verb="GetRecord" identifier="oai:repository.slads.sc.tz:cmsj1iwgl003lk8c5z5m8vsfk" metadataPrefix="oai_dc">https://repository.slads.sc.tz/api/oai</request><GetRecord><record><header><identifier>oai:repository.slads.sc.tz:cmsj1iwgl003lk8c5z5m8vsfk</identifier><datestamp>2026-11-10T09:59:27Z</datestamp><setSpec>department:RAM</setSpec><setSpec>type:dissertation</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:title>EVALUATION OF CUSTOMER SERVICE DELIVERY IN THE  ORGANIZATION.  A CASE STUDY OF LAND REGISTRY IN BAGAMOYO  DISTRICT COUNCIL.</dc:title><dc:creator>Fides Bernadini Kavishe</dc:creator><dc:subject>Customer service1</dc:subject><dc:subject>Customer Service Delivery</dc:subject><dc:subject>Local Government Authority</dc:subject><dc:subject>Information and Communication Technology</dc:subject><dc:description>This study assessed the evaluation of customer service delivery at the Land Registry. 
The study was conducted to assess the quality of customer service provided at the 
registry, examine customers’ level of satisfaction with the services offered, and identify 
challenges affecting effective customer service delivery. Effective customer service 
delivery is essential in ensuring timely access to services, improving customer 
satisfaction, strengthening public trust, and enhancing the overall performance of land 
administration institutions. 
The study employed a descriptive survey research design and adopted a mixed methods 
approach, combining quantitative and qualitative methods. Data were collected from 25 
respondents through questionnaires and interviews. Quantitative data were analyzed 
using descriptive statistics such as frequencies and percentages with the assistance of 
Microsoft Excel, while qualitative data were analyzed thematically. The findings were 
presented using tables and narrative explanations. 
The findings revealed that the Land Registry generally provided satisfactory customer 
services, with the majority of respondents reporting positive experiences regarding 
service quality, staff attitude, and service accessibility. The study found that 60% of 
respondents rated customer service quality positively, while 76% expressed satisfaction 
with the services provided. However, the study identified several challenges affecting 
effective service delivery, including lack of clear information, poor communication, long 
waiting times, and complicated service procedures. 
The study concludes that customer service delivery at the Land Registry was generally 
effective; however, improvements are required to address existing service gaps and 
enhance customer experiences. The study recommends strengthening customer 
communication, simplifying service procedures, reducing waiting times, improving 
vi 
feedback mechanisms, and providing continuous customer service training for staff to 
ensure efficient and customer-centered service delivery. </dc:description><dc:publisher>School of Library, Archives and Documentation Studies (SLADS)</dc:publisher><dc:date>2026</dc:date><dc:type>Text</dc:type><dc:type>Dissertation</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://repository.slads.sc.tz/records/cmsj1iwgl003lk8c5z5m8vsfk</dc:identifier><dc:language>en</dc:language><dc:rights>All rights reserved</dc:rights><dc:relation>https://repository.slads.sc.tz/api/records/cmsj1iwgl003lk8c5z5m8vsfk/file</dc:relation></oai_dc:dc></metadata></record></GetRecord></OAI-PMH>