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Research Project in Customer Intelligence (6 cr)

Code: 3B00FU87-3001

General information


Enrolment period

02.07.2023 - 01.09.2023

Timing

01.08.2023 - 17.12.2023

Credits

6 op

Virtual portion

2 op

RDI portion

6 op

Mode of delivery

67 % Contact teaching, 33 % Online learning

Unit

International Business

Teaching languages

  • English

Seats

15 - 40

Degree programmes

  • Bachelor's Degree Programme in International Business

Teachers

  • Pietro Albanese
  • Kirsi Tanner

Person in charge

Pietro Albanese

Groups

  • 23KVHN2S
    Exchange Students International Business autumn 2023
  • 22IB

Objectives (course unit)

The aims of this course are threefold. It provides the students understanding in customer intelligence: how to collect and analyze customer information in a reliable and useful way. It also gives the students basic knowledge of the necessary research approaches for their research project. In addition the course includes a project management module to develop skills in managing a multicultural business project.

After completing the course the student will be able to plan and execute a customer oriented research and development project in a scientifically reliable way.

Content (course unit)

Key questions:
- What are the principles of valid and reliable research for business (or academic world)
- Which tools and methods can be used in increasing the understanding of
customer needs to co-create customer value?
- How to refine research data to customer intelligence?
- How to communicate the results in an interesting way?
- How to manage a research and development project successfully?

Prerequisites (course unit)

None

Further information (course unit)

The course consists of lectures, exercises and the planning and execution of a customer related r&d project for a company or organization.

Research and Development Project:
Student teams find themselves a customer organization with an information and development need, execute data collection and analysis and give development suggestions based on their analysis. The outcomes will be presented in a public seminar, which is planned and managed by the students themselves. Teachers will provide coaching for the project teams.

There will be two implementations of the course, one in the autumn semester and another in the spring.

Assessment criteria, satisfactory (1-2) (course unit)

The student has rudimentary knowledge of quantitative and qualitative research methods, including data collection methods such as surveys, interviews and observations. He/she is capable of collecting and analysing basic customer data. The student has elementary skills in planning and implementing a research project in the context of customer intelligence.

Assessment criteria, good (3-4) (course unit)

The student has advanced knowledge of quantitative, qualitative and mixed research methods, including diverse data collection methods such as surveys, interviews and observations. The student knows the difference between primary and secondary data. He/she is able to select suitable data collection methods for a variety of situations and provide reasons for the selection. The student knows how to collect and analyse customer data. He/she is able to utilise the gained insights to improve business processes. The student is skilled in planning and implementing a research project in the context of customer intelligence.

Assessment criteria, excellent (5) (course unit)

The student has excellent knowledge of quantitative, qualitative and mixed research methods, including diverse data collection methods such as surveys, interviews, observations, document analysis and others. The student knows the difference between primary and secondary data. He/she is able to select accurate data collection methods for a variety of situations and justify reasons for the selection. The student knows how to collect and analyse customer data. He/she is able to utilise the gained insights to improve business processes. The student has profound skills in planning and implementing a research project in the context of customer intelligence. The student thoroughly understands how data, analytics, and insights work together.

Location and time

Check the official time tables in moodle

Exam schedules

We will inform the students at the beginning of the course. The exam schedule is in moodle

Assessment scale

0-5

Teaching methods

Lessons and practical group project work, group sparring sessions, Individual exam

Learning materials

The material is shared week by week before the start of the lesson

Completion alternatives

Because of the particular structure of the course the methodology is mandatory.

Practical training and working life cooperation

Group research work