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2018/2019  BA-BDMAO2004U  Information and Knowledge Management in Organisations

English Title
Information and Knowledge Management in Organisations

Course information

Language English
Course ECTS 7.5 ECTS
Type Mandatory
Level Bachelor
Duration One Semester
Start time of the course Autumn
Timetable Course schedule will be posted at calendar.cbs.dk
Study board
BSc in Digital Management
Course coordinator
  • Attila Marton - Department of Digitalisation
Main academic disciplines
  • Information technology
  • Management
  • Organization
Teaching methods
  • Blended learning
Last updated on 29-06-2018

Relevant links

Learning objectives
  • 1. Explain core practices of information and knowledge management in organizations
  • 2. Contrast conventional and digital practices of information and knowledge management
  • 3. Resolve real-life organizational problems of information and knowledge management
  • 4. Induce principles of information and knowledge management from real-life cases
  • 5. Evaluate and critically reflect on the organizational and ethical implications of information and knowledge management in the digital economy
Examination
Information and Knowledge Management in Organizations:
Exam ECTS 7,5
Examination form Home assignment - written product
Individual or group exam Group exam
Please note the rules in the Programme Regulations about identification of individual contributions.
Number of people in the group 3-4
Size of written product Max. 15 pages
Assignment type Project
Duration Written product to be submitted on specified date and time.
Grading scale 7-step scale
Examiner(s) Internal examiner and second internal examiner
Exam period Winter
Make-up exam/re-exam
Same examination form as the ordinary exam
Course content and structure

With the rise of the internet and digital media, practices of managing information and knowledge in organizations are in a stage of transition away from the conventional paradigm of retrieving information stored in silos of knowledge towards a new paradigm based on digital networking and information construction. The course embarks upon a journey to trace this transition by, first, discussing the intricacies of conventional practices (e.g. knowledge repositories, taxonomies) and the changes these practices are going through due to digitalization. It is against this backdrop that the course will then continue to discuss new practices of information and knowledge management (e.g. wikis, prediction markets) as well as the implications of these practices on economic ventures, organized collaboration and many other domains of social interaction.

Description of the teaching methods
Case-based teaching and in-class discussions supplemented with readings and project group work.
Feedback during the teaching period
continuous summative assessment; office hours
Student workload
Lectures 30 hours
Preparation for class 80 hours
Group assignments and feedback 70 hours
Exam (incl. preparation) 30 hours
Expected literature

The following list is only suggestive. Please, check the online curriculum for the final readings.

 

cases:

  • Lara, Andreu and Sieber "Knowledge management at Cap Gemini Ernst & Young." IESE Business School.
  • Alaimo and Marton "URfashion: Folksonomies and assisted discovery on social media platforms." LSE & CBS.
  • McAfee and Sjöman "Wikis at Dresdner Kleinwort Wasserstein." Harvard Business School.
  • Coles, Lakhani and A.P. McAfee "Prediction markets at Google." Harvard Business School.
  • Wang, Xu and Pan "Blockchain: A New Solution for Supply Integrity." Ivey Publishing.

 

journal papers:

  • Malone, Laubacher and Dellarocas (2010) The collective intelligence genome. MIT Sloan Management Review.
  • Ho and Chen (2007) New product blockbusters: The magic and science of prediction markets. California Management Review.
  • McKinney and Yoos (2010) Information about information: A taxonomy of views. MIS Quarterly.

 

books:

  • Weinberger (2007) Everything is miscellaneous: The power of the new digital disorder. Times Books.
  • Sunstein (2006) Infotopia: How many minds produce knowledge. Oxford University Press.
Last updated on 29-06-2018