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Basics of Commercialization (5 ECTS)

Code: C-02467-LT00EN81-3003

General information


Enrollment
05.05.2025 - 24.04.2026
Enrollment is ongoing
Enroll to the implementation in OMA
Timing
01.09.2025 - 30.07.2026
The implementation has not yet started.
Number of ECTS credits allocated
5 ECTS
Mode of delivery
On-campus and online
Institution
HAMK University of Applied Sciences, Verkkokampus
Teaching languages
Finnish
Seats
0 - 100
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Location and time

Independent study on the Learn platform.

Materials

Hassi, L., Paju, S. ja Maila, R. Kehitä kokeillen. Organisaation käsikirja. Helsinki: Talentum Pro. Hänti, S. (2021). Asiakkaista ansaintaan. Asiakaskeskeinen liiketoimintamalli. Alma Talent. Helsinki Komulainen, M. (2018). Menesty digimarkkinoinnilla. Kauppakamari Sarvas, R., Nevanlinna H. ja Pesonen J. (2016). Lean service creation. leanservicecreation.com. The handbook V1.7. Futurice. van der Pijl, P., Lokitz, J., and Solomon, L. (2016). Design a better business. New tools, skills, and mindset for strategy and innovaton. New Jersey: John Wiley & Sons Viita, H. (2020). Arvoa liiketoimintaan. Brändin lanseeraminen vuodessa. Alma Talent. Helsinki Virtanen, M. & Pellikka, J. (2021). Uuden liiketoiminnan kehittäminen ja kaupallistaminen. Savonia-ammattikorkeakoulu.

Evaluation methods and criteria

The assessment targets are the learning report and the content of individual learning tasks

Content scheduling

- Business Opportunity - Business Concept - Business Model - Business Plan - Business Development

Failed (0)

As a student, you have not returned assignments related to the course or they do not correspond to the level of grade 1-2. The student's work has used artificial intelligence without referring to its use in the work and in violation of the course instructions.

Assessment criteria, satisfactory (1-2)

Satisfactory (1-2): You know, remember and can explain basic information about the commercialization of an idea. You are able to describe the different areas of commercialization. You know the stages of developing commercialization. You know the prerequisites for commercializing an idea. The literature review is partially incomplete. The learning tasks are clear entities and they show possible external sources, which are partially correctly referenced. The work has used artificial intelligence in accordance with the instructions for the course, but it has been referenced incompletely, which means that the student's own analysis and the content produced by artificial intelligence are unclearly presented in the tasks.

Assessment criteria, good (3-4)

Good (3-4): You know how to analyze and plan the commercialization of an idea. You know how to acquire sufficient information to develop the commercialization of an idea. You know how to utilize artificial intelligence as part of the commercialization process. You know how to create ideas into a commercializable solution. You master commercialization methods and know how to apply them to different situations. You are able to plan and implement a customer-oriented commercialization process. The literature review is sufficient and relevant. The learning tasks are clear entities and they show possible external sources, which are partially referenced correctly. The work uses artificial intelligence in accordance with the instructions for the course, but it is referenced insufficiently, which means that the student's own analysis and the content produced by artificial intelligence are unclearly presented in the tasks. The learning tasks are clear entities and they show possible external sources, which are referenced correctly. The work uses artificial intelligence in accordance with the instructions for the course, which is largely referenced correctly.

Assessment criteria, excellent (5)

Excellent (5): You can analyze and plan creatively and effectively the commercialization of an idea, taking into account the needs of different stakeholders and the opportunities of the business environment. You can acquire sufficient information and create new information to support commercialization. You can solve the most common problems related to commercialization creatively and effectively. You have excellent command of various commercialization-related analysis and design methods and you can creatively and effectively apply them to different situations. You are able to create customer understanding, commercializable solutions and communicate them convincingly to customers. You have mastered various commercialization methods and apply them creatively and effectively. You bring out new, innovative commercialization ideas. You can use artificial intelligence as part of commercialization. The literature review is extensive and relevant. The learning tasks are clear entities and they show possible external sources that have been correctly referenced. The work has used artificial intelligence that has been correctly referenced in accordance with the instructions for the course.

Teaching methods

The course is studied independently online. The course progresses according to the stages of the commercialization process: : Step 1 Prepare: Define the concepts of commercializing an idea and new knowledge and present the idea and/or new knowledge that you want to commercialize. Step 2 Understand and determine the value to the customer: Visualize the business opportunity by segmenting customers, creating a customer persona who has a need to use your idea or new knowledge-based product, service or operating model, and describing the customer's path to purchase and use the new product or service. Step 3 Product idea or new knowledge: Create a business concept by conducting a business feasibility assessment (proof of concept) by calculating the economic prototype, conducting a risk analysis and creating a business case for the idea (proof of relevance). Step 4 Communicate the value to the customer: Create a business model to implement the product, service, value proposition, brand and launch plan. Step 5 Report: Write a learning report on the previous tasks, describing the work steps, the content of the work cards, and giving meaning to the work done. As part of the learning report, reflect on your learning. What did you learn and what do you know now? How do you plan to use your knowledge? What grade would you give your performance (0-5). In the tasks of the course, it is allowed to use artificial intelligence (e.g. Google Gemini, Microsoft Copilot, ChatGPT, Claude AI, etc.) and this must be reported appropriately. A literature review related to the topic will be part of the learning report.

Further information

Nonstop-verkkototeutus. Opinnon pääset aloittamaan noin viikon sisällä ilmoittautumisestasi. Opinnon suoritusaika on 3 kk. Avoimen ammattikorkeakoulun opiskelijat ilmoittautuvat opinnoille avoimen AMKin ilmoittautumisaikoina HAMKin verkkosivuila. HAMKin tutkinto-opiskelijat ilmoittautuvat opintoihin Pakissa. Opintojakson jälkeen sinulla on mahdollisuus antaa suorittamastasi opinnosta palautetta. Avoimen AMKin opintomaksun suuruus on 15 euroa/opintopiste ja maksu suoritetaan ilmoittautumisen yhteydessä. Lisätietoja avoimen AMKin ilmoittautumisesta, maksuista ja opinnoista löytyy osoitteesta: https:/www.hamk.fi/avoin 20 paikkaa avoimen opiskelijoille.

Evaluation scale

1-5

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