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الرئيسية / علي إبراهيم عبدالله الخريجي

علي إبراهيم عبدالله الخريجي

لـ

17 سبتمبر 2015م

علي إبراهيم عبدالله الخريجي
دكتوراه
الأعمال التجارية والإدارية
Plymouth University

مجال
التميز

تميز دراسي وبحثي

البحوث المنشورة

 

البحث (1):

 

عنوان البحث:

Knowledge network modelling to support
decision-making for strategic intervention in IT project-oriented change
management

رابط البحث:

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تاريخ النشر:

20 Mar 2014

موجز عن البحث:

This paper focuses on knowledge management
to enhance decision support systems for strategic intervention in information
technology (IT) project-oriented change management. It proposes a model of
change management knowledge networks (CMKNM) to support decision by tackling
three existing issues: insufficient knowledge traceability based on the
relationships between knowledge elements and key factors, lack of procedural
knowledge to provide adequate policies to guide changes, and lack of ‘lessons
learned’ documentation in knowledge bases. A qualitative method was used to
investigate issues surrounding knowledge mobilisation and knowledge networks.
Empirical study was undertaken with industries to test the CMKNM. Results are
presented from the empirical study on the key factors influencing knowledge
mobilisation in IT project-oriented change management, knowledge networks and
connections. The CMKNM model allows key knowledge mobilisation factors to be
aligned with each other; it also defines the connections between knowledge
networks allowing knowledge to be mobilised by tracing knowledge channels to
support decision.

البحث (2):

 

عنوان البحث:

Where can Knowledge-Based Decision Support
Systems Go in Contemporary Business Management — A New Architecture for the Future

رابط إلى البحث:

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تاريخ النشر:

May 2015

موجز عن البحث:

Decision
support systems (DSS) are one of the most widely used management information
systems in current business management. The focus of the paper is on the
knowledge-based decision support systems, namely the KB-DSS, in support of
contemporary business management decision making. Business managers use
KB-DSS can improve their decision making not only in terms of speed and
accuracy but also consistency. Key perspectives of KB-DSS including
technological, organizational, social and cultural perspectives are discussed
in the context of contemporary management decision context. New contribution
to the knowledge management function of KB-DSS through a number of recent
projects is presented. The paper then highlights some implications for the
development of the next generation of KB-DSS before a new architecture is
proposed for future work

المؤتمرات العلمية:

 

المؤتمر (1):

 

عنوان المؤتمر:

2015 Global Innovation and Knowledge Academy Conference (GIKA
2015)

تاريخ الإنعقاد:

14/07/2015

مكان
الإنعقاد:

Valencia – Spain

طبيعة المشاركة:

Paper
presentation

عنوان المشاركة:

New Structured Knowledge Network for strategic
decision making in IT Innovative and implementable projects

 

 

 

 

 

 

 

 

 

ملخص المشاركة:

This paper investigates the impact of knowledge
management processes among public and private organisations in Saudi Arabia
and it develops structured and new knowledge network models that link
knowledge with organisations for strategic decision making in IT innovative
and implementable projects. We attempt to understand how knowledge networks
could be built, how they could be structured, the outcomes from building
these networks and the issues involved in building them. To answer these
questions, we employed practice-based perspective by using case study method.
An exploratory approach was adopted to generate potentially significant
themes. In order to understand the networks interactions between
international companies, local companies and public organisations, case
studies of relevant organisations were conducted. Thematic analysis of our
results discovered four main themes that have potential impact on these new
and structured knowledge networks and these are organisational factors,
knowledge networks initiation processes, knowledge channels and knowledge
network environmental factors.

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