1.State and justify some tools, technologies, processes, and/or methods that could be used to support personalisation and/or codification strategies. 2.At home or in the lab download the Decision Explorer software (eg from BlackBoard) and enter your version of the cognitive map from the lab. "How can we improve assessment feedback in KMIS?" Include some screen captures showing your maps, and use your map as an example to answer the following questions. a)What are the main features of cognitive mapping? b)How could it be used to support strategy development? c)What analysis options does the DE software provide? 3.Collaborative Space - Unilever Case Study How can competitive and collaborative cultures respectively affect KM strategies? Illustrate with reference to Orlikowski's articles (see BlackBoard and/or e-reserve Library for the articles). 2 How could the OCI (Organisational Culture Inventory) circumplex (Jashapara, 2004, p. 197) be used in changing between an aggressive/defensive culture and a constructive culture? Illustrate with a diagram. What management strategies/tactics might be required to make the change? 3.What are the strengths and weaknesses of a groupware like GroupMap that we explored in the laboratory? Illustrate by using some screen captures from the lab. 4.Weekly Submission - Fluor Case 1.Define Business Intelligence. Define Big Data. 2.Find an example of a software that supports dashboards. What features does it provide? 3.MOOCs (Massive open online courses) are a new trend in learning. a.What are the opportunities and challenges for Universities? b.How can Universities apply learning analytics to MOOCs to improve their business? 4.Weekly Submission – aHow could Big Data and Business Intelligence be applied to a bank (e.g. Bank of China)? b What would be the business drivers? c.What would be the major challenges to successful implementation?) 1 How are expert systems and ontologies similar/different? 2 aExplain how your assignment ontology could become an expert system. b.What business problem could it solve? 3.Weekly Submission – Please run the following demo of a dog breed selection system. http://www.exsys.com/Demos/Dogs/DogTitle.html Include a screen capture of the top dogs chosen for you based on your preferences. a.What is the meaning of the scores given to your top dogs? b.What are the strengths and limitations of such a system? c.How could it be used by a business? 1.What is the difference between backward and forward chaining? Give a small example of each. Why is it of any importance? 2. Give an example of some if/then rules which could apply to an expert system for determining entry to a Masters of Information Systems. 3. Weekly Submission - Collosus is an expert system developed in Australia to guide insurance claim assessors. http://www2.austlii.edu.au/~graham/publications/1992/ALJColossus.html What have been the advantages of the system? What issues or problems have arisen? Topic 10 Intelligent Agents 1.Find and describe an example of an intelligent agent software and describe its level of intelligence, mobility and agency (autonomy). 2.a.What are the advantages of using Protégé OWL compared to Protégé? b.What are the main differences? 3.Weekly Submission - DeepMind is an Artificial Intelligence machine that plays a 2500 year old game called Go. It recently defeated a Master player Lee Se-dol. What are the implications for knowledge management in business? Topic 11 Document and Content Management Systems 1.According to Sprague (see article on BlackBoard) what is the business value of documents? 2.Documents can be thought of as having a lifecycle from creation through to disposal. How can a document management system support this lifecycle? Give an example with respect to a cloud based commercial technology. 3.The MindServer technology (see BlackBoard) provides some interesting features and advantages over ontology based approaches. What are these features and advantages?