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2016/2017  BA-BSSIO1001U  Service Management Foundations: Service and Innovation

English Title
Service Management Foundations: Service and Innovation

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
Study Board for BSc in Service Management
Course coordinator
  • Adriana Budeanu - Department of International Economics and Management (INT)
Teachers:
Adriana Budeanu (INT)
H.C. Kongsted (INO)
Main academic disciplines
  • Innovation
  • Management
  • Methodology and philosophy of science
Last updated on 21-09-2016
Learning objectives
To achieve the grade 12, students should meet the following learning objectives with no or only minor mistakes or errors:
  • Explain and apply the concepts and theories on services and service sectors presented through the course
  • Discuss and analyse the development of specific services and service sectors presented in the course
  • Explain and discuss reports and documents about services using concepts and theories presented in the course, together with the knowledge on statistical data
  • Explain and apply statistical measurements, and select data sources
  • Demonstrate the ability to present statistical data in the form of tables and other graphical representations
Examination
Service Management Foundations: Service and innovation:
Exam ECTS 7,5
Examination form Written sit-in exam
Individual or group exam Individual exam
Assignment type Written assignment
Duration 4 hours
Grading scale 7-step scale
Examiner(s) One internal examiner
Exam period Winter
Aids allowed to bring to the exam Limited aids, see the list below:
  • Written sit-in-exam on CBS' computers
  • Books and compendia brought by the examinee
  • Notes in paper format brought by the examinee
  • Access to personal drive (S-drive) on CBS' network
  • USB key to upload your notes before the exam
  • Approved calculators: HP 10bII+ and Texas BA II Plus
  • Dictionaries (only some, see specification below)
  • Additional allowed aids, please see the list below
Make-up exam/re-exam
Same examination form as the ordinary exam
If the number of registered candidates for the make-up examination/re-take examination warrants that it may most appropriately be held as an oral examination, the programme office will inform the students that the make-up examination/re-take examination will be held as an oral examination instead.
Description of the exam procedure

Additional allowed aids:
Graphs can be written by hand

Allowed dictionaries:

·        simple language dictionaries

 
Course content and structure

The course content has two main elements. The largest part of the course presents key concepts and foundations of one of the following fields: (1) tourism and hospitality, (2) arts and culture, and (3) service innovation. Each field represents the study focus for one of the three specializations in the SEM program. The course provides a succinct yet comprehensive introduction to each specialization and field of study, by giving a general overview of service industries and their development. The course discusses the importance of services in the context of each field of study (see 1, 2, 3 above) and critically examines relevant research methods and data sources. 

 

The second element of the course consists of a brief introduction to to the fundamentals of descriptive statistics and data management. This part includes the management of statistical data and the design and analysis of tables and graphical representations. 
Teaching methods
The course includes lectures, interactive exercises in class and one workshop on information technologies and descriptive statistics
Student workload
Lectures 30 hours
Workshop 4 hours
Preparation for class and exam 166 hours
Examination 4 hours
Expected literature

Goffin, K. and Mitchell, R. (2010). Innovation Management: Strategy and Implementation using the Pentathlon Framework. Second Edition. Palgrave Macmillian. 

Statistics: Alan Agresti, A.& Franklin, C. (2014) Statistics: The Art and Science of learning from Data¹, Pearson Prentice Hall. (3rd ed)

Please note, minor changes may occur. The teacher will upload the final reading list to LEARN two weeks before the course starts.
Last updated on 21-09-2016