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<title>1st Annual International Conference,2017</title>
<link href="http://hdl.handle.net/123456789/405" rel="alternate"/>
<subtitle/>
<id>http://hdl.handle.net/123456789/405</id>
<updated>2026-04-09T23:32:28Z</updated>
<dc:date>2026-04-09T23:32:28Z</dc:date>
<entry>
<title>Interactive online shopping system.</title>
<link href="http://hdl.handle.net/123456789/693" rel="alternate"/>
<author>
<name>Rose, M.</name>
</author>
<id>http://hdl.handle.net/123456789/693</id>
<updated>2021-12-20T14:31:53Z</updated>
<published>2017-01-01T00:00:00Z</published>
<summary type="text">Interactive online shopping system.
Rose, M.
The 21st century has seen huge advancements in technology that continues to render many manual &#13;
applications ineffective. In a bid to leverage on technology, business must strive to leverage technologies for &#13;
value addition. In this project, an online shopping system has been developed that allows businesses to sell &#13;
products online to the vast customers on the internet. The virtual marketplace takes advantage of advancements &#13;
in payment systems as well as help options which has been lacking in existing systems. The context-based FAQs &#13;
will be helpful in providing shopping assistance to user. The project uses waterfall methodology. The model &#13;
allows  for  early  design  changes  as  well  as  a  milestone  focused  approach.  Technology  is  ever  evolving  and &#13;
future  works  will  focus  on  chatbot  integration,  advanced  payment  options  such  as  bitcoins  as  well  as &#13;
development of a mobile application.
</summary>
<dc:date>2017-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Enhancing Small and Medium Enterprises Credit Access and Performance through  Technological Integration.</title>
<link href="http://hdl.handle.net/123456789/692" rel="alternate"/>
<author>
<name>Douglas, J.</name>
</author>
<author>
<name>Wasike, J.</name>
</author>
<id>http://hdl.handle.net/123456789/692</id>
<updated>2021-12-20T14:32:34Z</updated>
<published>2017-01-01T00:00:00Z</published>
<summary type="text">Enhancing Small and Medium Enterprises Credit Access and Performance through  Technological Integration.
Douglas, J.; Wasike, J.
Small and Medium Enterprises in Kenya face innumerable challenges that affect their &#13;
financial performance. Lack of financiers, market information gaps, and poor &#13;
financial  management  practices  are  some  of  the  factors  that  are  likely  to  affect &#13;
performance  of  Small  and  Medium  Enterprises.  These  challenges  can  be  solved &#13;
through technological integration of the key market participants especially financiers &#13;
and suppliers. The purpose of this study was to establish a technological mechanism &#13;
to bring together SMEs, financiers, suppliers in a single technological platform with a &#13;
view  of  improving  business  access  to  finance  and  profitability.  A  desktop  research &#13;
was  applied  whereby  online  papers  on  the  theme  of  technological  integration  of &#13;
market  participants  and  SMEs  financing  and  performance  were  analyzed.  Results &#13;
showed  that  technological  integration  of  SMEs  and  Key  market  players  (Creditors &#13;
and suppliers) would enable the SMEs to access credit easily, provide perfect &#13;
information on prices of commodities, promote fair competition, increase profits and &#13;
minimize opportunity costs. Besides, it would help creditors to assess credit &#13;
worthiness  of  SMEs  by  reviewing  their  transactions,  reduce  credit  default  risk  and &#13;
help creditors  and  suppliers  to access a  larger market.  We recommend development &#13;
of  an  application  and  an  online  system  tailored  to  the  needs  of  SMEs,  creditors  and &#13;
suppliers in order to harness full benefits of technological integration.
</summary>
<dc:date>2017-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Intelligent Decision Support (IDS) in Software Risk Management Based on Data Mining, Rough Sets and Decision Theory</title>
<link href="http://hdl.handle.net/123456789/691" rel="alternate"/>
<author>
<name>Mutheu, R.</name>
</author>
<author>
<name>Wasike, J.</name>
</author>
<id>http://hdl.handle.net/123456789/691</id>
<updated>2021-12-20T14:33:24Z</updated>
<published>2017-01-01T00:00:00Z</published>
<summary type="text">Intelligent Decision Support (IDS) in Software Risk Management Based on Data Mining, Rough Sets and Decision Theory
Mutheu, R.; Wasike, J.
Risks are intrinsic to any project and risk-taking is a necessary component of any process of decision making. High risks from software projects threaten healthy development of any Nation because of the complex nature of projects. For sustainable development, we should focus on risk assessment and risk decision. Assessment of risks in most of the software projects has been done qualitatively ignoring the risk decision. Attempts at risk decisions have been based on individuals’ rational opinions hence subjective. Previous reports have shown limited evidence on successful use of DSSs in practice.  To address this anomaly, this study proposes intelligent decision support that provides more objective, repeatable, and observable decision – making support for software risk management. Software risk managers will be supported in gathering and analyzing evidence, identifying and diagnosing problems, proposing possible courses of action and evaluating such proposed actions.  IDS is based on data mining, rough sets and decision theories which improve decision making in uncertain conditions. Risks will be looked at as identifiable and quantifiable possible events or factors from which negative or positive consequences may occur. The main sources of data will be a set of secondary data collected over time and knowledge of domain expert (s). The techniques used in this paper will provide efficient algorithms for finding hidden patterns in software risks and generate sets of decision rules to support decisions in software risks management. &#13;
.
</summary>
<dc:date>2017-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>State of E-Learning in Kenyan Universities: A Case of Kirinyaga University.</title>
<link href="http://hdl.handle.net/123456789/690" rel="alternate"/>
<author>
<name>Shikhuyu, J</name>
</author>
<author>
<name>Mwangi, G.</name>
</author>
<id>http://hdl.handle.net/123456789/690</id>
<updated>2021-12-20T14:36:27Z</updated>
<published>2017-01-01T00:00:00Z</published>
<summary type="text">State of E-Learning in Kenyan Universities: A Case of Kirinyaga University.
Shikhuyu, J; Mwangi, G.
E-learning  is  the  process  of  delivering  education  using  Information  Communication &#13;
Technologies (ICTs). Globally, integration of ICT in education has undeniably &#13;
brought  a  paradigm  shift  in  learning  process.    However,  adoption  of  E-learning  in &#13;
Kenya has not been fully realized. Most Kenyan universities are using blended mode &#13;
of e-learning. This study investigated the state of e-learning at Kirinyaga University. &#13;
The target population was drawn from faculty and students in five schools. &#13;
Proportionate  stratified  random  sampling  was  used  to  arrive  at  a  sample  size  of  5% &#13;
for  students  and  50%  for  lecturers  in  every  stratum  totaling  155  students  and  40 &#13;
faculty. Both closed and open ended questionnaires were administered to collect data &#13;
about the  state of e-learning in  Kirinyaga University. Data  was  analyzed  using SPSS &#13;
measures  of  dispersion  and  central  tendency  and  presented  in  form  of  frequency &#13;
tables  and  graphs.  Results  showed  that  there  is  adequate  ICT  infrastructure,  e-&#13;
learning awareness but training is inadequate. Problems of content organization and &#13;
management  exist,  question  of  plagiarism  &amp;  ethical  usage  of  e-learning  content  not &#13;
addressed,  unavailable  policies  on  e-learning  platform  usage,  and  lack  of  adequate &#13;
user  access  levels  and  privileges.  The  study  proposes  an  E-learning  Integration &#13;
Framework and recommends that Kenyan Universities adopt the framework to fully &#13;
realize the benefits of e-learning.  Routine assessment surveys should be undertaken &#13;
to  ascertain  the  level  at  which  e-learning  platform  is  impacting  on  the  learning &#13;
process.
</summary>
<dc:date>2017-01-01T00:00:00Z</dc:date>
</entry>
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