Ali, A & Hawryszkiewycz, IT 2014, 'Services to Support Knowledge Sharing in Complex Business Networks, Big Data as the Source', Proceedings of ICICKM 2014, International Conference on Intellectual Capital Knowledge Management and Organisational Learning, ACPI, Sydney, Australia, pp. 488-496.
Big Data has become a buzzword that refers to the complex and massive data that is either structured or unstructured and not easy to be captured and processed by traditional tools and software applications. The term refers to the large size of data that is created through the activities using of Information and communication technology (ICT). Big Data in our research is the big container to be explored to discover knowledge and information based on the searching context. Big Data may include both explicit and tacit sources of information and knowledge. Businesses should consider all sources in the business environment when discovering and capturing knowledge by accessing this data. Business networks, as a type of social networks, are the mechanism for performing knowledge sharing and transfer for innovation and gaining competitive advantages. The goal of our research is to design and implement a generic model of services that support and coordinate business networks to discover, capture, create and share knowledge. Implementing these services involves considering Big Data as the source of information and knowledge. This model is to be implemented as a platform of services in the cloud. Although the model and services are generic, the platform is to be customisable for business's special needs. These services will support businesses in terms of creating collaborative environments and adapting to any changes that are happening in the business environment while collaboration is in operation. A prototype of services is to be implemented in the cloud environment. This prototype is to be tested by experts through a case study to measure the success and performance of the model.
Ali, A, Hawryszkiewycz, I & Chen, J 2014, 'Services for knowledge sharing in dynamic business networks', Proceedings of the Australian Software Engineering Conference, ASWEC, Australian Software Engineering Conference, IEEE, Sydney, Australia, pp. 62-65.View/Download from: UTS OPUS or Publisher's site
Knowledge sharing and management is becoming increasingly important in complex environments. Such complex environments often involve business networks in joint projects or supply chains. The increasingly complexity characterized by continuous change requires knowledge workers to continually propose new solutions and search and develop knowledge to support these solutions. This new knowledge often comes from externally, or from business partners and must be shared in flexible ways. This paper develops a model to model flexible gathering and sharing of knowledge. It develops a metamodel that allows dynamic reconfiguration of systems, while reassigning knowledge processing functions to meet emerging needs. The paper then illustrates a prototype for implementing the model on the cloud. © 2014 IEEE.
Ali, A.M. 2012, 'A MODELING APPROACH FOR KNOWLEDGE MANAGEMENT IN COMPLEX BUSINESS SYSTEMS', IDIAS International Conference WWW/Internet 2012, IDIAS International Conference WWW/Internet 2012, IDIAS International Conference WWW/Internet 2012, Madrid, pp. 1-6.