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2019/2020  BA-BDMAO2004U  Information Management in Organizations

English Title
Information Management in Organizations

Course information
Language English
Course ECTS 7.5 ECTS
Type Mandatory
Level Bachelor
Duration One Semester
Start time of the course Spring
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
  • Organisation
Teaching methods
  • Blended learning
Last updated on 12-12-2019

Relevant links
Learning objectives
  • Explain core practices of information management in organizations
  • Contrast conventional and digital practices of information management
  • Resolve real-life organizational problems of information management
  • Apply theoretical concepts and design principles of information management to real-life cases
  • Evaluate and critically reflect on the organizational and ethical implications of information management in the digital economy
Prerequisites for registering for the exam (activities during the teaching period)
Number of compulsory activities which must be approved: 2
Compulsory home assignments
The students need to pass two mandatory mid-term assignments in order to be allowed to take the final exam. The first assignment is a case analysis of a given teaching case written in groups, with a maximum of 5 pages. The second assignment is a peer-review of another group's case analysis, with a maximum of 2 pages. Both mid-term assignments will be graded separately as passed/not passed. Those students who submit and achieve 'not approved' or cannot submit due to illness, will have to submit before a second set date before the end of the course.
Examination
Information Management in Organizations:
Exam ECTS 7,5
Examination form Home assignment - written product
Individual or group exam Individual exam
Size of written product Max. 10 pages
Assignment type Project
Duration Written product to be submitted on specified date and time.
Grading scale 7-point grading scale
Examiner(s) Internal examiner and second internal examiner
Exam period Summer
Make-up exam/re-exam
Same examination form as the ordinary exam
Course content, structure and pedagogical approach

With the rise of the internet and digital media, practices of managing information in organizations are in a stage of transition away from the conventional paradigm of retrieving information stored in silos 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 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. In order to learn how to apply these practices in real-life contexts, the students will have to work with a real organization of their choosing, identify a real problem in that organization, and design a solution in the form of a business case.
Description of the teaching methods
Case-based teaching and in-class discussions supplemented with readings and project group work. Field work in real organizations. Writing a business case.
Feedback during the teaching period
continuous summative assessment; office hours; mid-term feedback; peer-reviews
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.
  • 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 12-12-2019