Study Guide

Objective

After completing the course, the student is able to:
-approach the complex development challenges of organization, economy, and technology by systems thinking
-formulate research problem and research questions for developmental challenges
-search, summarize, and refer to the previous relevant research of the discipline
-apply the methods and tools for acquiring qualitative and quantitative information required in development
-analyse, refine and present the collected information to support decision-making
-evaluate the validity, reliability, and ethics of the information and research
-plan, initiate, and execute the necessary development procedures (thesis project)
-apply the methods and tools on continuous development

Content

-Description of complexity, Cynefin framework
-Technical, social, and economic systems
-Systems analysis and description
-Triangulation
-Knowledge based development: data collection methods
-Knowledge based development: analysing data and presenting knowledge
-Research ethics
-Modelling and developing operations as a system

Evaluation scale

H-5

Objective

After completing the course, the student is able to:
-approach the complex development challenges of organization, economy, and technology by systems thinking
-formulate research problem and research questions for developmental challenges
-search, summarize, and refer to the previous relevant research of the discipline
-apply the methods and tools for acquiring qualitative and quantitative information required in development
-analyse, refine and present the collected information to support decision-making
-evaluate the validity, reliability, and ethics of the information and research
-plan, initiate, and execute the necessary development procedures (thesis project)
-apply the methods and tools on continuous development

Content

-Description of complexity, Cynefin framework
-Technical, social, and economic systems
-Systems analysis and description
-Triangulation
-Knowledge based development: data collection methods
-Knowledge based development: analysing data and presenting knowledge
-Research ethics
-Modelling and developing operations as a system

Materials

Relevant literature: books, articles - own choice
Eriksson, P. & Kovalainen, A. 2008.Qualitative Methods in Business Research. London: SAGE Publications Ltd.

Teaching methods

Individual work, peer assessments,
- acquaintance of relevant methods:
scientific publications, interviews, observations, benchmark...
- collaboration with organizations and companies
- planning of the upcoming thesis

Exam schedules

Thesis plan, group assignment, self and peer assessments

International connections

Individual work, self and peer assessments
- discussions
- presentations

Student workload

Pre-assignment
Group assignment
Preliminary thesis plan with introductions, aim, research questions and methods, literature review, conclusion, schedule, reference list
Self and peer-assessments

Content scheduling

Research methods:
Qualitative and quantitative methods
Preparation for the Master’s thesis
Implementation plan:
Content:
- different types of approaches
- research principles
- different research methods
- research and development planning
- data collection - quantitative and or qualitative, mixed; data analysis
- quality issues and ethics in the research, data management, IPR and GDPR
- literature search, evaluation and use of the appropriate research methods for projects and master's thesis

Evaluation scale

H-5

Assessment methods and criteria

Pre-assignment: pass / fail
Group assignment: 1-5, 30 %
Thesis plan: 1-5, 60 %
Peer assessments: satisfactory, good, excellent: 10 %
Self assessment: pass
Activity

Assessment criteria, fail (0)

No participation to the contact lessons, not submitted assignments

Assessment criteria, satisfactory (1-2)

Participation to the contact days, submitted assignments

Assessment criteria, good (3-4)

Active participation to the contact days, submitted assignments with good outcomes

Assessment criteria, excellent (5)

Very active participation to the contact days, submitted assignments with excellent outcomes by the deadline

Objective

After completing the course, the student is able to:
-approach the complex development challenges of organization, economy, and technology by systems thinking
-formulate research problem and research questions for developmental challenges
-search, summarize, and refer to the previous relevant research of the discipline
-apply the methods and tools for acquiring qualitative and quantitative information required in development
-analyse, refine and present the collected information to support decision-making
-evaluate the validity, reliability, and ethics of the information and research
-plan, initiate, and execute the necessary development procedures (thesis project)
-apply the methods and tools on continuous development

Content

-Description of complexity, Cynefin framework
-Technical, social, and economic systems
-Systems analysis and description
-Triangulation
-Knowledge based development: data collection methods
-Knowledge based development: analysing data and presenting knowledge
-Research ethics
-Modelling and developing operations as a system

Materials

Relevant literature: books, articles - own choice
Eriksson, P. & Kovalainen, A. 2008.Qualitative Methods in Business Research. London: SAGE Publications Ltd.

Teaching methods

Individual and group work, peer assessments,
- acquaintance of relevant approaches, research and analysis methods and tools with a help of
scientific publications, seminars etc.: action research, content analysis, interviews, observations, surveys, swot, coding...
- possible collaboration with organizations and companies
- planning of the upcoming thesis

Exam schedules

Assignments instead of exams

International connections

Individual and group / team work, self- and peer-assessments
- individual and group assignments
- discussions
- presentations

Student workload

Qualitative research:
Research and analysis methods and tools
Selected presentations during the contact lessons
Thesis idea: a draft and 2 opposing reports.

Academic writing: a draft

Quantitative statistics and research: analysis methods

Content scheduling

Research methods:
Qualitative and quantitative methods
Academic English
Preparation for the Master’s thesis / Seminars:
Implementation plan:
Content:
- different types of approaches
- research principles
- different research methods
- research and development planning
- data collection - quantitative and or qualitative, mixed; data analysis
- quality issues and ethics in the research, data management, IPR and GDPR
- literature search, evaluation and use of the appropriate research methods for projects and master's thesis

Evaluation scale

H-5

Assessment methods and criteria

Evaluation of the assignments and participation activity
Self and peer assessments

Assessment criteria, fail (0)

No participation to the contact lessons
Quantity: Assignments are not completed to an acceptable level and or not returned assignments - instructions have not been followed
Quality: The minimum learning objectives are not met (look at the course description)

Assessment criteria, satisfactory (1-2)

Participation to the contact lessons
Communication and reflection are acceptable
Appear to grasp theory and have made a start in showing its applicability - assignments partly done according to the instructions

Assessment criteria, good (3-4)

Active participation to the contact lessons
Communication and reflection are good
General understanding of theory and application - assignments done according to the instructions

Assessment criteria, excellent (5)

Very active participation to the contact lessons
Outstanding communication, reflection and application of theory in practice - assignments done according to the instructions and returned on time -by the deadline

Objective

After completing the course, the student is able to:
-approach the complex development challenges of organization, economy, and technology by systems thinking
-formulate research problem and research questions for developmental challenges
-search, summarize, and refer to the previous relevant research of the discipline
-apply the methods and tools for acquiring qualitative and quantitative information required in development
-analyse, refine and present the collected information to support decision-making
-evaluate the validity, reliability, and ethics of the information and research
-plan, initiate, and execute the necessary development procedures (thesis project)
-apply the methods and tools on continuous development

Content

-Description of complexity, Cynefin framework
-Technical, social, and economic systems
-Systems analysis and description
-Triangulation
-Knowledge based development: data collection methods
-Knowledge based development: analysing data and presenting knowledge
-Research ethics
-Modelling and developing operations as a system

Evaluation scale

H-5

Objective

After completing the course, the student is able to:
-approach the complex development challenges of organization, economy, and technology by systems thinking
-formulate research problem and research questions for developmental challenges
-search, summarize, and refer to the previous relevant research of the discipline
-apply the methods and tools for acquiring qualitative and quantitative information required in development
-analyse, refine and present the collected information to support decision-making
-evaluate the validity, reliability, and ethics of the information and research
-plan, initiate, and execute the necessary development procedures (thesis project)
-apply the methods and tools on continuous development

Content

-Description of complexity, Cynefin framework
-Technical, social, and economic systems
-Systems analysis and description
-Triangulation
-Knowledge based development: data collection methods
-Knowledge based development: analysing data and presenting knowledge
-Research ethics
-Modelling and developing operations as a system

Materials

Relevant literature: books, articles - own choice
Eriksson, P. & Kovalainen, A. 2008.Qualitative Methods in Business Research. London: SAGE Publications Ltd.

Teaching methods

Individual work, peer assessments,
- acquaintance of relevant methods:
scientific publications, interviews, observations, benchmark...
- collaboration with organizations and companies
- planning of the upcoming thesis

Exam schedules

Thesis plan, group assignment, self and peer assessments

International connections

Individual work, self and peer assessments
- discussions
- presentations

Student workload

Pre-assignment
Group assignment
Preliminary thesis plan with introductions, aim, research questions and methods, literature review, conclusion, schedule, reference list
Self and peer-assessments

Content scheduling

Research methods:
Qualitative and quantitative methods
Preparation for the Master’s thesis
Implementation plan:
Content:
- different types of approaches
- research principles
- different research methods
- research and development planning
- data collection - quantitative and or qualitative, mixed; data analysis
- quality issues and ethics in the research, data management, IPR and GDPR
- literature search, evaluation and use of the appropriate research methods for projects and master's thesis

Evaluation scale

H-5

Assessment methods and criteria

Pre-assignment: pass / fail
Group assignment: 1-5, 30 %
Thesis plan: 1-5, 60 %
Peer assessments: satisfactory, good, excellent: 10 %
Self assessment: pass
Activity

Assessment criteria, fail (0)

No participation to the contact lessons, not submitted assignments

Assessment criteria, satisfactory (1-2)

Participation to the contact days, submitted assignments

Assessment criteria, good (3-4)

Active participation to the contact days, submitted assignments with good outcomes

Assessment criteria, excellent (5)

Very active participation to the contact days, submitted assignments with excellent outcomes by the deadline

Objective

After completing the course, the student is able to:
-approach the complex development challenges of organization, economy, and technology by systems thinking
-formulate research problem and research questions for developmental challenges
-search, summarize, and refer to the previous relevant research of the discipline
-apply the methods and tools for acquiring qualitative and quantitative information required in development
-analyse, refine and present the collected information to support decision-making
-evaluate the validity, reliability, and ethics of the information and research
-plan, initiate, and execute the necessary development procedures (thesis project)
-apply the methods and tools on continuous development

Content

-Description of complexity, Cynefin framework
-Technical, social, and economic systems
-Systems analysis and description
-Triangulation
-Knowledge based development: data collection methods
-Knowledge based development: analysing data and presenting knowledge
-Research ethics
-Modelling and developing operations as a system

Evaluation scale

H-5

Objective

After completing the course, the student is able to:
-approach the complex development challenges of organization, economy, and technology by systems thinking
-formulate research problem and research questions for developmental challenges
-search, summarize, and refer to the previous relevant research of the discipline
-apply the methods and tools for acquiring qualitative and quantitative information required in development
-analyse, refine and present the collected information to support decision-making
-evaluate the validity, reliability, and ethics of the information and research
-plan, initiate, and execute the necessary development procedures (thesis project)
-apply the methods and tools on continuous development

Content

-Description of complexity, Cynefin framework
-Technical, social, and economic systems
-Systems analysis and description
-Triangulation
-Knowledge based development: data collection methods
-Knowledge based development: analysing data and presenting knowledge
-Research ethics
-Modelling and developing operations as a system

Evaluation scale

H-5

Objective

After completing the course, the student is able to:
-approach the complex development challenges of organization, economy, and technology by systems thinking
-formulate research problem and research questions for developmental challenges
-search, summarize, and refer to the previous relevant research of the discipline
-apply the methods and tools for acquiring qualitative and quantitative information required in development
-analyse, refine and present the collected information to support decision-making
-evaluate the validity, reliability, and ethics of the information and research
-plan, initiate, and execute the necessary development procedures (thesis project)
-apply the methods and tools on continuous development

Content

-Description of complexity, Cynefin framework
-Technical, social, and economic systems
-Systems analysis and description
-Triangulation
-Knowledge based development: data collection methods
-Knowledge based development: analysing data and presenting knowledge
-Research ethics
-Modelling and developing operations as a system

Materials

Relevant literature: books, articles - own choice
Eriksson, P. & Kovalainen, A. 2008.Qualitative Methods in Business Research. London: SAGE Publications Ltd.

Teaching methods

Individual work, peer assessments,
- acquaintance of relevant methods:
scientific publications, interviews, observations, benchmark...
- collaboration with organizations and companies
- planning of the upcoming thesis

Exam schedules

Thesis plans, self and peer assessments

International connections

Individual work, self and peer assessments
- discussions
- presentations

Student workload

Thesis: a preliminary and a final plan with aim, research questions and methods, literature review
Self and peer assessments

Content scheduling

Research methods:
Qualitative and quantitative methods
Preparation for the Master’s thesis
Implementation plan:
Content:
- different types of approaches
- research principles
- different research methods
- research and development planning
- data collection - quantitative and or qualitative, mixed; data analysis
- quality issues and ethics in the research, data management, IPR and GDPR
- literature search, evaluation and use of the appropriate research methods for projects and master's thesis

Evaluation scale

H-5

Assessment methods and criteria

Evaluation of the assignments and participation activity
Self and peer assessments

Assessment criteria, fail (0)

No participation to the contact lessons, not submitted assignments

Assessment criteria, satisfactory (1-2)

Participation to the contact days, submitted assignments

Assessment criteria, good (3-4)

Active participation to the contact days, submitted assignments with good outcomes

Assessment criteria, excellent (5)

Very active participation to the contact days, submitted assignments with excellent outcomes by the deadline

Objective

After completing the course, the student is able to:
-approach the complex development challenges of organization, economy, and technology by systems thinking
-formulate research problem and research questions for developmental challenges
-search, summarize, and refer to the previous relevant research of the discipline
-apply the methods and tools for acquiring qualitative and quantitative information required in development
-analyse, refine and present the collected information to support decision-making
-evaluate the validity, reliability, and ethics of the information and research
-plan, initiate, and execute the necessary development procedures (thesis project)
-apply the methods and tools on continuous development

Content

-Description of complexity, Cynefin framework
-Technical, social, and economic systems
-Systems analysis and description
-Triangulation
-Knowledge based development: data collection methods
-Knowledge based development: analysing data and presenting knowledge
-Research ethics
-Modelling and developing operations as a system

Materials

Relevant literature: books, articles - own choice
Eriksson, P. & Kovalainen, A. 2008.Qualitative Methods in Business Research. London: SAGE Publications Ltd.

Teaching methods

Individual work, peer assessments,
- acquaintance of relevant methods:
scientific publications, interviews, observations, benchmark...
- collaboration with organizations and companies
- planning of the upcoming thesis

Exam schedules

Thesis plans, self and peer assessments

International connections

Individual work, self and peer assessments
- discussions
- presentations

Student workload

Thesis: a preliminary and a final plan with aim, research questions and methods, literature review
Self and peer assessments

Content scheduling

Research methods:
Qualitative and quantitative methods
Preparation for the Master’s thesis
Implementation plan:
Content:
- different types of approaches
- research principles
- different research methods
- research and development planning
- data collection - quantitative and or qualitative, mixed; data analysis
- quality issues and ethics in the research, data management, IPR and GDPR
- literature search, evaluation and use of the appropriate research methods for projects and master's thesis

Evaluation scale

H-5

Assessment methods and criteria

Evaluation of the assignments and participation activity
Self and peer assessments

Assessment criteria, fail (0)

No participation to the contact lessons, not submitted assignments

Assessment criteria, satisfactory (1-2)

Participation to the contact days, submitted assignments

Assessment criteria, good (3-4)

Active participation to the contact days, submitted assignments with good outcomes

Assessment criteria, excellent (5)

Very active participation to the contact days, submitted assignments with excellent outcomes by the deadline

Objective

After completing the course, the student is able to:
-approach the complex development challenges of organization, economy, and technology by systems thinking
-formulate research problem and research questions for developmental challenges
-search, summarize, and refer to the previous relevant research of the discipline
-apply the methods and tools for acquiring qualitative and quantitative information required in development
-analyse, refine and present the collected information to support decision-making
-evaluate the validity, reliability, and ethics of the information and research
-plan, initiate, and execute the necessary development procedures (thesis project)
-apply the methods and tools on continuous development

Content

-Description of complexity, Cynefin framework
-Technical, social, and economic systems
-Systems analysis and description
-Triangulation
-Knowledge based development: data collection methods
-Knowledge based development: analysing data and presenting knowledge
-Research ethics
-Modelling and developing operations as a system

Evaluation scale

H-5

Objective

After completing the course, the student is able to:
-approach the complex development challenges of organization, economy, and technology by systems thinking
-formulate research problem and research questions for developmental challenges
-search, summarize, and refer to the previous relevant research of the discipline
-apply the methods and tools for acquiring qualitative and quantitative information required in development
-analyse, refine and present the collected information to support decision-making
-evaluate the validity, reliability, and ethics of the information and research
-plan, initiate, and execute the necessary development procedures (thesis project)
-apply the methods and tools on continuous development

Content

-Description of complexity, Cynefin framework
-Technical, social, and economic systems
-Systems analysis and description
-Triangulation
-Knowledge based development: data collection methods
-Knowledge based development: analysing data and presenting knowledge
-Research ethics
-Modelling and developing operations as a system

Evaluation scale

H-5

Objective

After completing the course, the student is able to:
-approach the complex development challenges of organization, economy, and technology by systems thinking
-formulate research problem and research questions for developmental challenges
-search, summarize, and refer to the previous relevant research of the discipline
-apply the methods and tools for acquiring qualitative and quantitative information required in development
-analyse, refine and present the collected information to support decision-making
-evaluate the validity, reliability, and ethics of the information and research
-plan, initiate, and execute the necessary development procedures (thesis project)
-apply the methods and tools on continuous development

Content

-Description of complexity, Cynefin framework
-Technical, social, and economic systems
-Systems analysis and description
-Triangulation
-Knowledge based development: data collection methods
-Knowledge based development: analysing data and presenting knowledge
-Research ethics
-Modelling and developing operations as a system

Evaluation scale

H-5

Objective

After completing the course, the student is able to:
-approach the complex development challenges of organization, economy, and technology by systems thinking
-formulate research problem and research questions for developmental challenges
-search, summarize, and refer to the previous relevant research of the discipline
-apply the methods and tools for acquiring qualitative and quantitative information required in development
-analyse, refine and present the collected information to support decision-making
-evaluate the validity, reliability, and ethics of the information and research
-plan, initiate, and execute the necessary development procedures (thesis project)
-apply the methods and tools on continuous development

Content

-Description of complexity, Cynefin framework
-Technical, social, and economic systems
-Systems analysis and description
-Triangulation
-Knowledge based development: data collection methods
-Knowledge based development: analysing data and presenting knowledge
-Research ethics
-Modelling and developing operations as a system

Evaluation scale

H-5

Objective

After completing the course, the student is able to:
-approach the complex development challenges of organization, economy, and technology by systems thinking
-formulate research problem and research questions for developmental challenges
-search, summarize, and refer to the previous relevant research of the discipline
-apply the methods and tools for acquiring qualitative and quantitative information required in development
-analyse, refine and present the collected information to support decision-making
-evaluate the validity, reliability, and ethics of the information and research
-plan, initiate, and execute the necessary development procedures (thesis project)
-apply the methods and tools on continuous development

Content

-Description of complexity, Cynefin framework
-Technical, social, and economic systems
-Systems analysis and description
-Triangulation
-Knowledge based development: data collection methods
-Knowledge based development: analysing data and presenting knowledge
-Research ethics
-Modelling and developing operations as a system

Materials

Relevant literature: books, articles - own choice
Eriksson, P. & Kovalainen, A. 2008.Qualitative Methods in Business Research. London: SAGE Publications Ltd.

Teaching methods

Individual work, peer assessments,
- acquaintance of relevant methods:
scientific publications, interviews, observations, benchmark...
- collaboration with organizations and companies
- planning of the upcoming thesis

Exam schedules

Thesis plans, self and peer assessments

International connections

Individual work, self and peer assessments
- discussions
- presentations

Student workload

Thesis: a preliminary and a final plan with aim, research questions and methods, literature review
Self and peer assessments

Content scheduling

Research methods:
Qualitative and quantitative methods
Preparation for the Master’s thesis
Implementation plan:
Content:
- different types of approaches
- research principles
- different research methods
- research and development planning
- data collection - quantitative and or qualitative, mixed; data analysis
- quality issues and ethics in the research, data management, IPR and GDPR
- literature search, evaluation and use of the appropriate research methods for projects and master's thesis

Evaluation scale

H-5

Assessment methods and criteria

Evaluation of the assignments and participation activity
Self and peer assessments

Assessment criteria, fail (0)

No participation to the contact lessons, not submitted assignments

Assessment criteria, satisfactory (1-2)

Participation to the contact days, submitted assignments

Assessment criteria, good (3-4)

Active participation to the contact days, submitted assignments with good outcomes

Assessment criteria, excellent (5)

Very active participation to the contact days, submitted assignments with excellent outcomes by the deadline

Objective

After completing the course, the student is able to:
-approach the complex development challenges of organization, economy, and technology by systems thinking
-formulate research problem and research questions for developmental challenges
-search, summarize, and refer to the previous relevant research of the discipline
-apply the methods and tools for acquiring qualitative and quantitative information required in development
-analyse, refine and present the collected information to support decision-making
-evaluate the validity, reliability, and ethics of the information and research
-plan, initiate, and execute the necessary development procedures (thesis project)
-apply the methods and tools on continuous development

Content

-Description of complexity, Cynefin framework
-Technical, social, and economic systems
-Systems analysis and description
-Triangulation
-Knowledge based development: data collection methods
-Knowledge based development: analysing data and presenting knowledge
-Research ethics
-Modelling and developing operations as a system

Materials

Relevant literature: books, articles - own choice
Eriksson, P. & Kovalainen, A. 2008.Qualitative Methods in Business Research. London: SAGE Publications Ltd.

Teaching methods

Individual work, peer assessments,
- acquaintance of relevant methods:
scientific publications, interviews, observations, benchmark...
- collaboration with organizations and companies
- planning of the upcoming thesis

Exam schedules

Thesis plans, self and peer assessments

International connections

Individual work, self and peer assessments
- discussions
- presentations

Student workload

Thesis: a preliminary and a final plan with aim, research questions and methods, literature review
Self and peer assessments

Content scheduling

Research methods:
Qualitative and quantitative methods
Preparation for the Master’s thesis
Implementation plan:
Content:
- different types of approaches
- research principles
- different research methods
- research and development planning
- data collection - quantitative and or qualitative, mixed; data analysis
- quality issues and ethics in the research, data management, IPR and GDPR
- literature search, evaluation and use of the appropriate research methods for projects and master's thesis

Evaluation scale

H-5

Assessment methods and criteria

Evaluation of the assignments and participation activity
Self and peer assessments

Assessment criteria, fail (0)

No participation to the contact lessons, not submitted assignments

Assessment criteria, satisfactory (1-2)

Participation to the contact days, submitted assignments

Assessment criteria, good (3-4)

Active participation to the contact days, submitted assignments with good outcomes

Assessment criteria, excellent (5)

Very active participation to the contact days, submitted assignments with excellent outcomes by the deadline

Objective

After completing the course, the student is able to:
-approach the complex development challenges of organization, economy, and technology by systems thinking
-formulate research problem and research questions for developmental challenges
-search, summarize, and refer to the previous relevant research of the discipline
-apply the methods and tools for acquiring qualitative and quantitative information required in development
-analyse, refine and present the collected information to support decision-making
-evaluate the validity, reliability, and ethics of the information and research
-plan, initiate, and execute the necessary development procedures (thesis project)
-apply the methods and tools on continuous development

Content

-Description of complexity, Cynefin framework
-Technical, social, and economic systems
-Systems analysis and description
-Triangulation
-Knowledge based development: data collection methods
-Knowledge based development: analysing data and presenting knowledge
-Research ethics
-Modelling and developing operations as a system

Materials

Relevant literature: books, articles - own choice
Eriksson, P. & Kovalainen, A. 2008.Qualitative Methods in Business Research. London: SAGE Publications Ltd.

Teaching methods

Individual and group work, peer assessments,
- acquaintance of relevant methods:
scientific publications, interviews, observations, netnography, shadowing...
- possible collaboration with organizations and companies – new or ongoing throughout the studies: design tasks and research reports
- planning of the upcoming thesis

Exam schedules

Assignments instead of exams

International connections

Individual and group / team work, self- and peer-assessments
- individual and group assignments
- discussions
- presentations

Student workload

Qualitative research:
Research and analysis methods and tools
Selected presentations during the contact lessons
Thesis idea: a draft and 2 opposing reports.
Academic writing: draft
Quantitative statistics and research: Analysis methods

Content scheduling

Research methods:
Qualitative and quantitative methods
Academic English
Preparation for the Master’s thesis / Seminars:
Implementation plan:
Content:
- different types of approaches
- research principles
- different research methods
- research and development planning
- data collection - quantitative and or qualitative, mixed; data analysis
- quality issues and ethics in the research, data management, IPR and GDPR
- literature search, evaluation and use of the appropriate research methods for projects and master's thesis

Evaluation scale

H-5

Assessment methods and criteria

Evaluation of the assignments and participation activity
Self and peer assessments

Assessment criteria, fail (0)

No participation to the contact lessons
Quantity: Assignments are not completed to an acceptable level and or not returned assignments - instructions have not been followed
Quality: The minimum learning objectives are not met (look at the course description)

Assessment criteria, satisfactory (1-2)

Participation to the contact lessons
Communication and reflection are acceptable
Appear to grasp theory and have made a start in showing its applicability - assignments partly done according to the instructions

Assessment criteria, good (3-4)

Active participation to the contact lessons
Communication and reflection are good
General understanding of theory and application - assignments done according to the instructions

Assessment criteria, excellent (5)

Very active participation to the contact lessons
Outstanding communication, reflection and application of theory in practice - assignments done according to the instructions and returned on time -by the deadline

Objective

After completing the course, the student is able to:
-approach the complex development challenges of organization, economy, and technology by systems thinking
-formulate research problem and research questions for developmental challenges
-search, summarize, and refer to the previous relevant research of the discipline
-apply the methods and tools for acquiring qualitative and quantitative information required in development
-analyse, refine and present the collected information to support decision-making
-evaluate the validity, reliability, and ethics of the information and research
-plan, initiate, and execute the necessary development procedures (thesis project)
-apply the methods and tools on continuous development

Content

-Description of complexity, Cynefin framework
-Technical, social, and economic systems
-Systems analysis and description
-Triangulation
-Knowledge based development: data collection methods
-Knowledge based development: analysing data and presenting knowledge
-Research ethics
-Modelling and developing operations as a system

Materials

Relevant literature: books, articles - own choice
Eriksson, P. & Kovalainen, A. 2008.Qualitative Methods in Business Research. London: SAGE Publications Ltd.

Teaching methods

Individual and group work, peer assessments,
- acquaintance of relevant methods:
scientific publications, interviews, observations, netnography, shadowing...
- possible collaboration with organizations and companies – new or ongoing throughout the studies: design tasks and research reports
- planning of the upcoming thesis

Exam schedules

Assignments instead of exams

International connections

Individual and group / team work, self and peer assessments
- individual and group tasks
- discussions
- presentations

Student workload

Qualitative research:
Service Design and Content Analysis: research and analysis methods and tools
Selected presentations during the contact lessons
Thesis ideation: a draft and 2 opposing reports.
Academic writing: draft
Quantitative statistics and research: Analysis methods

Content scheduling

Research methods:
Qualitative and quantitative methods
Academic English
Preparation for the Master’s thesis / Seminars:
Implementation plan:
Content:
- different types of approaches
- research principles
- different research methods
- research and development planning
- data collection - quantitative and or qualitative, mixed; data analysis
- quality issues and ethics in the research, data management, IPR and GDPR
- literature search, evaluation and use of the appropriate research methods for projects and master's thesis

Evaluation scale

H-5

Assessment methods and criteria

Evaluation of the assignments and participation activity
Self and peer assessments

Assessment criteria, fail (0)

No participation to the contact lessons
Quantity: Assignments are not completed to an acceptable level and or not returned assignments - instructions have not been followed
Quality: The minimum learning objectives are not met (look at the course description)

Assessment criteria, satisfactory (1-2)

Participation to the contact lessons
Communication and reflection are acceptable
Appear to grasp theory and have made a start in showing its applicability - assignments partly done according to the instructions

Assessment criteria, good (3-4)

Active participation to the contact lessons
Communication and reflection are good
General understanding of theory and application - assignments done according to the instructions

Assessment criteria, excellent (5)

Very active participation to the contact lessons
Outstanding communication, reflection and application of theory in practice - assignments done according to the instructions and returned on time -by the deadline