Research Project in Customer Intelligence (6 cr)
Code: 3B00FX90-3003
General information
Enrolment period
02.12.2022 - 19.01.2023
Timing
01.01.2023 - 16.05.2023
Credits
6 op
Virtual portion
1 op
RDI portion
5 op
Mode of delivery
84 % Contact teaching, 16 % Online learning
Unit
Business and Media
Campus
TAMK Main Campus
Teaching languages
- English
Seats
0 - 40
Degree programmes
- Bachelor's Degree Programme in International Business
Teachers
- Pietro Albanese
- Sari Matala
- Tuomo Soini
- Adrián Somlósi-Kovács
Person in charge
Tuomo Soini
Groups
-
23KVHN1KExchange Students International Business S2023
-
21IB
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
First meeting and course introduction on 19th January, at 8.15-11.00, at Tamk, place: D1-02. Detailled schedule in Moodle.
Exam schedules
No exam
Assessment methods and criteria
Research basics, qualitative and quantitative methods 25%
- Project Management (exercises, project planning and reporting, final seminar arrangements) 30%
- CI project, 45% including the written plan, execution and final report and participating & presenting in the final seminar (teamwork). Peer evaluation may affect the grade of this part.
All parts must be passed in order to get the final grade.
Assessment scale
0-5
Teaching methods
contact and online teaching
exercises
practical work / research project (COMPULSORY)
Learning materials
Lecture slides and other material given in the lectures.
Student workload
The total of the course is 6 credits meaning about 162 hours of student work altogether. It should be noticed that a great part of the course work is done outside the class hours both independently and in team meetings and the students are required to commit to the teamwork.
The detailed course plan will be introduced on the first class.
As deliverables students will produce the following:
- contract with the customer
- team agreement
- project- and research plan
- course topic tasks
- final research report
- project end report
- presentation (10 min) with visual material in the closing seminar (that customers will participate, too)
Content scheduling
Period 3-4
Introduction to customer intelligence and research (S Matala)
Quantitative methods in customer intelligence (P Albanese)
Qualitative methods in customer intelligence (S Matala)
Project management (T Soini)
R&D Project, coaching (T Soini, P Albanese)
Project management (T Soini)
Final seminar arrangements
Final seminar (MANDATORY PARTICIPATION)
Completion alternatives
None
Practical training and working life cooperation
Student teams will find themselves a business company or other organization to be their customer in the practical Customer Intelligence / Research project and work in close cooperation with it throughout the whole course.
International connections
International student teams and project commissioners
Further information
NOTE: course grade is based on team work outcomes. Each team member receives the same grade.
Assessment criteria - fail (0) (Not in use, Look at the Assessment criteria above)
Student has not participated team working and team project according to course implementation plan. Student shows no understanding the premises and principles of research, customer intelligence and project management.
Assessment criteria - satisfactory (1-2) (Not in use, Look at the Assessment criteria above)
Student has achieved the objectives of the course sufficiently. Student understands the premises and principles of research, customer intelligence and project management. Student recognises, is able to determine and use the concepts and models of customer intelligence and project management.
The grade of the team project remains on the level 1 - 2.
Assessment criteria - good (3-4) (Not in use, Look at the Assessment criteria above)
Student has achieved the objectives of the course well although the skills and competences are somewhat in need of further development. Student is able to determine and apply the concepts and models of customer intelligence and project management well and is able to conduct reasoned analysis. The grade of the team project is 3 - 4.
Assessment criteria - excellent (5) (Not in use, Look at the Assessment criteria above)
Student has achieved the objectives of the course excellently. The student masters the concepts and models of customer intelligence and project management in an excellent manner. Student is able to conduct fluent and reasoned analysis and has good capabilities to apply the learning. The grade of the team project is 4 - 5 and the individual exercises as well as participation in the class are on an excellent level.