2015/2016
BA-BSSIO1001U Service Management Foundations: Service
and Innovation
| English Title |
| Service Management Foundations:
Service and Innovation |
|
|
| 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)
|
| Contact information:
https://e-campus.dk/studium/student-hub/aabningstider-og-kontaktinformation |
| Main academic
disciplines |
- Innovation
- Management
- Methodology and philosophy of science
|
|
Last updated on
31-07-2015
|
| 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 the service
sectors presented through the course
- Discuss and analyse the structure and development of specific
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
- Provide an adequate structure and design for a research
project
- Explain and apply statistical measurements, and select data
sources
- Demonstrate a basic use of information technologies to design
and 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 |
| 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
- Allowed dictionaries
- Allowed calculators
- Notes in paper format brought by the
examinee
|
| 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.
|
|
| Course content and
structure |
|
This course provides students with the methodological tools and
conceptual frameworks to analyze and manage descriptive statistical
data and information on the economic development of services with
special focus on one of the following fields: (1) tourism and
hospitality, (2) culture and arts, and (3) service innovation.
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. Also,
the course discusses the importance of services in the context of
each field of study (see 1, 2, 3 above) and critically
examines the different statistical data sources which can be used
for descriptive research methods.
The second element of the course consists of a brief
introduction to problem formulation, project structure, and
explains 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. Moreover the course illustrates the use of
information technologies for descriptive
statistics.
|
| Teaching methods |
| The course includes lectures and
interactive exercises in class, an optional home assignment and a
workshop on information technologies and descriptive
statistics |
| Student workload |
| Lectures |
30 hours |
| Workshop |
4 hours |
| Preparation for class and exam |
156 hours |
| Home assignment |
10 hours |
| Examination |
4 hours |
|
| Expected literature |
|
For the "service innovation" part,
the readings will be announced in August 2015 or before.
For the "statistics" part:
Alan Agresti, A. & Franklin, C.
(2012) ‘Statistics. The Art and Science of learning from
Data’, Pearson Prentice Hall.
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
31-07-2015
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