<?xml version='1.0' encoding='utf-8' ?>



<rss version="2.0"
      xmlns:opensearch="http://a9.com/-/spec/opensearch/1.1/"
      xmlns:dc="http://purl.org/dc/elements/1.1/"
      xmlns:atom="http://www.w3.org/2005/Atom">
   <channel>
     <title><![CDATA[UTB Library OPAC Search for 'su:&quot;Big Data&quot;']]></title>
     <link>https://utbopac.library.utb.edu.bn//cgi-bin/koha/opac-search.pl?q=ccl=su%3A%22Big%20Data%22&amp;format=rss</link>
     <atom:link rel="self" type="application/rss+xml" href="https://utbopac.library.utb.edu.bn//cgi-bin/koha/opac-search.pl?q=ccl=su%3A%22Big%20Data%22&amp;sort_by=relevance_dsc&amp;format=atom"/>
     <description><![CDATA[ Search results for 'su:&quot;Big Data&quot;' at UTB Library OPAC]]></description>
     <opensearch:totalResults>6</opensearch:totalResults>
     <opensearch:startIndex>0</opensearch:startIndex>
     
       <opensearch:itemsPerPage>20</opensearch:itemsPerPage>
     
	 
     <atom:link rel="search" type="application/opensearchdescription+xml" href="https://utbopac.library.utb.edu.bn//cgi-bin/koha/opac-search.pl?&amp;sort_by=&amp;format=opensearchdescription"/>
     <opensearch:Query role="request" searchTerms="" startPage="" />
     <item>
       <title>
    Mining of massive datasets/ 






</title>
       <dc:identifier>ISBN:9781107077232</dc:identifier>
        
        <link>https://utbopac.library.utb.edu.bn//cgi-bin/koha/opac-detail.pl?biblionumber=19095</link>
        
       <description><![CDATA[
<img src="https://images-na.ssl-images-amazon.com/images/P/1107077230.01.TZZZZZZZ.jpg" alt="" />







	   <p>By Leskovec, Jure. 
	   Cambridge :  Cambridge University Press,  2014
                        . xi, 467 pages : 
                        , Previous edition: 2012.
                         26 cm.. 
                         9781107077232
       </p>

<p><a href="https://utbopac.library.utb.edu.bn//cgi-bin/koha/opac-reserve.pl?biblionumber=19095">Place hold on <em>Mining of massive datasets/ </em></a></p>

						]]></description>
       <guid>https://utbopac.library.utb.edu.bn//cgi-bin/koha/opac-detail.pl?biblionumber=19095</guid>
     </item>
	 
     <atom:link rel="search" type="application/opensearchdescription+xml" href="https://utbopac.library.utb.edu.bn//cgi-bin/koha/opac-search.pl?&amp;sort_by=&amp;format=opensearchdescription"/>
     <opensearch:Query role="request" searchTerms="" startPage="" />
     <item>
       <title>
    Big data :


    a revolution that will transform how we live, work, and think /





</title>
       <dc:identifier>ISBN:9780544227750</dc:identifier>
        
        <link>https://utbopac.library.utb.edu.bn//cgi-bin/koha/opac-detail.pl?biblionumber=19189</link>
        
       <description><![CDATA[
<img src="https://images-na.ssl-images-amazon.com/images/P/0544227751.01.TZZZZZZZ.jpg" alt="" />







	   <p>By Mayer-Schönberger, Viktor. 
	   New York : An Eamon Dolan Book ; 2013
                        . 252 pages :
                        
                         21cm.. 
                         9780544227750
       </p>

<p><a href="https://utbopac.library.utb.edu.bn//cgi-bin/koha/opac-reserve.pl?biblionumber=19189">Place hold on <em>Big data :</em></a></p>

						]]></description>
       <guid>https://utbopac.library.utb.edu.bn//cgi-bin/koha/opac-detail.pl?biblionumber=19189</guid>
     </item>
	 
     <atom:link rel="search" type="application/opensearchdescription+xml" href="https://utbopac.library.utb.edu.bn//cgi-bin/koha/opac-search.pl?&amp;sort_by=&amp;format=opensearchdescription"/>
     <opensearch:Query role="request" searchTerms="" startPage="" />
     <item>
       <title>
    The human face of big data/






</title>
       <dc:identifier>ISBN:9781454908272</dc:identifier>
        
        <link>https://utbopac.library.utb.edu.bn//cgi-bin/koha/opac-detail.pl?biblionumber=19411</link>
        
       <description><![CDATA[
<img src="https://images-na.ssl-images-amazon.com/images/P/1454908270.01.TZZZZZZZ.jpg" alt="" />







	   <p>
	   Sausalito, Calif. :  Against All Odds Productions,  2012
                        . 223 pages. : 
                        
                         37 cm.. 
                         9781454908272
       </p>

<p><a href="https://utbopac.library.utb.edu.bn//cgi-bin/koha/opac-reserve.pl?biblionumber=19411">Place hold on <em>The human face of big data/</em></a></p>

						]]></description>
       <guid>https://utbopac.library.utb.edu.bn//cgi-bin/koha/opac-detail.pl?biblionumber=19411</guid>
     </item>
	 
     <atom:link rel="search" type="application/opensearchdescription+xml" href="https://utbopac.library.utb.edu.bn//cgi-bin/koha/opac-search.pl?&amp;sort_by=&amp;format=opensearchdescription"/>
     <opensearch:Query role="request" searchTerms="" startPage="" />
     <item>
       <title>
    The impact of big data in auditing /






</title>
       <dc:identifier>ISBN:</dc:identifier>
        
        <link>https://utbopac.library.utb.edu.bn//cgi-bin/koha/opac-detail.pl?biblionumber=19717</link>
        
       <description><![CDATA[








	   <p>By Hasyimah Binti Haji Awang Isa. 
	   Brunei Darussalam :  Universiti Teknologi Brunei,  2020
                        . 39 pages : 
                        , Project report (Bachelor of Business (HONS) in Accounting and Information systems), 2020. | ABSTRACT
In this 21st century, also well known as the information age, there is unquestionably advancement in the information technology. People now are very cultured and have turned aware inventive and innovative in developing technology that creates significant benefits to the society. Big Data, as unfamiliar as it may seem, have been used for a long period of time now globally in different sectors. It has enabled businesses in reshaping operation management, improving functions, and even provides business with tremendous insights of their consumers, clients and suppliers. Yet, most society are still unaware of the existence of Big Data. Therefore, this paper will discuss the impacts of Big Data. The paper will analyze the potential benefits gained and the possible risks and challenges companies may face in adopting Big Data. Subsequent to the advancement of technology, audit technology too has improved with the utilization of Big Data. Additionally, the paper will discuss the effects and implications of Big Data in the auditing profession. This paper aims to increase awareness to the society of the existence of Big Data. It has been more beneficial than challenging for companies using the tools. In relation to auditing work, it has driven auditors into delivering a more high-quality, reliable and relevant audit work in obtaining audit evidence.
                         30 cm.. 
                        
       </p>

<p><a href="https://utbopac.library.utb.edu.bn//cgi-bin/koha/opac-reserve.pl?biblionumber=19717">Place hold on <em>The impact of big data in auditing /</em></a></p>

						]]></description>
       <guid>https://utbopac.library.utb.edu.bn//cgi-bin/koha/opac-detail.pl?biblionumber=19717</guid>
     </item>
	 
     <atom:link rel="search" type="application/opensearchdescription+xml" href="https://utbopac.library.utb.edu.bn//cgi-bin/koha/opac-search.pl?&amp;sort_by=&amp;format=opensearchdescription"/>
     <opensearch:Query role="request" searchTerms="" startPage="" />
     <item>
       <title>
    The Emerging Technology of Big Data : 


    Its Impact As a Tool for ICT Development /





</title>
       <dc:identifier>ISBN:9781771886758  | 9781774631591 | 9781351241236 | 9781351241243  | 9781351241250</dc:identifier>
        
        <link>https://utbopac.library.utb.edu.bn//cgi-bin/koha/opac-detail.pl?biblionumber=21199</link>
        
       <description><![CDATA[
<img src="https://images-na.ssl-images-amazon.com/images/P/1771886757.01.TZZZZZZZ.jpg" alt="" />







	   <p>By Heru, Susanto. 
	    :  ,
                        
                        
                        
                         9781771886758  | 9781774631591 | 9781351241236 | 9781351241243  | 9781351241250
       </p>

<p><a href="https://utbopac.library.utb.edu.bn//cgi-bin/koha/opac-reserve.pl?biblionumber=21199">Place hold on <em>The Emerging Technology of Big Data : </em></a></p>

						]]></description>
       <guid>https://utbopac.library.utb.edu.bn//cgi-bin/koha/opac-detail.pl?biblionumber=21199</guid>
     </item>
	 
     <atom:link rel="search" type="application/opensearchdescription+xml" href="https://utbopac.library.utb.edu.bn//cgi-bin/koha/opac-search.pl?&amp;sort_by=&amp;format=opensearchdescription"/>
     <opensearch:Query role="request" searchTerms="" startPage="" />
     <item>
       <title>
    Enchancing Organisational Quality Potential with Digital Maturity, Big Data and TQM: A Case Study of the Ministry of Development, Brunei Darussalam /






</title>
       <dc:identifier>ISBN:</dc:identifier>
        
        <link>https://utbopac.library.utb.edu.bn//cgi-bin/koha/opac-detail.pl?biblionumber=24068</link>
        
       <description><![CDATA[








	   <p>By Dayangku Nurul Zahidah Binti Pengiran Ismail,. 
	   Bandar Seri Begawan : Universiti Teknologi Brunei, 2025
                        . xliii, 629 pages :
                        , Thesis Submitted in Fulfillment of the Requirements for the degree of Doctor of Philosophy  | ABSTRACT
In the digital era, public sector organisations are under increasing pressure to modernise operations, enhance service delivery, and ensure continuous quality improvement. While many governments have embraced digital initiatives, the integration of digital maturity and data capabilities into quality management systems remains underexplored, especially in developing countries. This study aims to examine the interconnected roles of Digital Maturity (DM), Big Data (BD), and Total Quality Management (TQM) in enhancing organisational performance, using the Ministry of Development (MoD), Brunei Darussalam, as a single case study.
The research is grounded in the Resource-Based View (RBV) and extends existing frameworks by developing and testing a comprehensive model comprising five digital maturity dimensions, eight big data, and eight TQM practices. A mixed-methods research design was employed. Quantitatively, survey data were collected from 468 employees across MoD departments and analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM) via SmartPLS. Qualitatively, expert interviews were conducted to gain deeper insights into digital implementation challenges, contextual factors, and governance dynamics. The interview data were analysed thematically and triangulated with quantitative findings.
The findings reveal that digital maturity significantly influences the development of big data capabilities, particularly in areas such as data quality, system integration, and environmental readiness. In turn, big data dimensions play a crucial mediating role in strengthening TQM practices, including leadership, strategic planning, continuous improvement, and employee involvement. Differences between executives and employees' perspectives are also highlighted, revealing top-down and bottom-up dynamics in public sector transformation.
This study contributes to the literature by proposing an integrated DM-BD-TQM framework tailored to public organisations. It addresses key gaps in understanding how digital and data capabilities can be strategically aligned to achieve quality excellence. The research also provides practical recommendations for policy-makers and public sector
[9:58 AM, 5/6/2026] ~: leaders to develop targeted interventions that enhance digital governance, data utilisation, and quality practices within government institutions.
                         30 cm. 
                        
       </p>

<p><a href="https://utbopac.library.utb.edu.bn//cgi-bin/koha/opac-reserve.pl?biblionumber=24068">Place hold on <em>Enchancing Organisational Quality Potential with Digital Maturity, Big Data and TQM: A Case Study of the Ministry of Development, Brunei Darussalam /</em></a></p>

						]]></description>
       <guid>https://utbopac.library.utb.edu.bn//cgi-bin/koha/opac-detail.pl?biblionumber=24068</guid>
     </item>
	 
   </channel>
</rss>





