Измерение инноваций

2026/2027

ID 1122006

Статус: Маго-лего

Кто читает: Департамент образовательных программ

Где читается: Институт статистических исследований и экономики знаний

Охват аудитории: для своего кампуса

Преподаватели: Аботк Амаль, Власова Валерия Вадимовна, Чичканов Николай Юрьевич

Язык: русский

Кредиты: 3

Контактные часы: 32

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Аннотация

The course helps to understand how innovations contribute to the development of businesses, industries and countries, and introduces students to the innovation measurement at different levels. It starts with fundamental knowledge on the phenomenon of innovation and innovation processes in economies, from the perspective of firms and nations. Further, the course presents approaches to measurement of innovation with a use of different sources of information such as firm-level innovation surveys and international innovation rankings, and open statistical databases. The focus is made on the international standards and best national practices of innovation measurement. Individual assignments and group projects contribute to the students’ ability to independently collect data, interpret and present innovation indicators, and communicate the conclusions to managers and policy-makers.

Цель освоения дисциплины

To provide students with basic knowledge of innovation measurement
To equip students with international standards and best practices of innovation statistics
To introduce students to the key data sources on innovation
To develop students’ abilities to present and interpret innovation indicators for decision-making
To train students’ analytical skills when discussing problems related to innovation development

Планируемые результаты обучения

Ability to apply modern techniques and methods of data collection, advanced methods of its processing and analysis, practise smart data analytics systems while doing managerial and research tasks (GPC2)
Ability to take grounded managerial decisions, assess its operational and organizational effectiveness and social importance, support its realization in conditions of complicated (incl. cross-cultural) and dynamic environment (GPC3)
Ability to analyze problematic situations applying the system approach, work out a strategic plan (UC1)
Ability to organize and lead a team, work out a team strategy for goal achievement (UC3)
Ability to determine and realize the priorities of self-activities and ways of its improvement based on self-assessment (UC6)
Ability to assess and review company strategy implementation and develop and monitor measures to reach strategic objectives (PC1)
Ability to review existing business models, develop new business models and incorporate international perspective (PC3)
Ability to recommend up to date business development activities, design and manage corporate entrepreneurship and sustainability of business models (PC4)

Содержание учебной дисциплины

I. 1. Why and how measuring innovation
I. 2. Basics of innovation statistics
I. 3. Key innovation indicators
II. 4. Measuring country innovation performance
II. 5. Business innovation statistics
II. 6. Innovation in all sectors of the economy
II. 7. Measuring entrepreneurship
II. 8. Towards next generation of data and indicators

Элементы контроля

Home assignment 1
Home assignment (HA) is an individually written task to be prepared on the topic discussed during each lecture. HA is announced at the end of each lecture and has to be submitted by Sunday 23:59 as a DOCX or PDF file, by e-mail to the lecturers. Students receive grades for the submitted tasks within a week. Students are required to complete two homework assignments: – one assignment from HA1–HA4; – one assignment from HA5–HA8. Both assignments must be submitted by the specified deadlines. Each HA is a mini-essay around 1000 words following the topics that were provided. HA (if not mentioned specifically) should always include: a short introduction (why the issue matters), a reasoned (evidence-based) written reply to the question asked, and a short conclusion (the main findings summarized). At the end of your submission, please briefly indicate which AI tool(s) you used (if used) and for what purpose — for example: identifying potential data sources, clarifying concepts, drafting code, editing the text, preparing visualizations, or checking the structure of the analysis. Also state how you verified the AI-generated output. The statement should not exceed 3–4 sentences. Example: I used ChatGPT to clarify the distinction between “Innovation active” and “innovative” firms and to check the structure of the report. I independently verified the definitions using the Oslo Manual and checked all calculations in Excel. The interpretation of the results and the final conclusions are my own.
Exam
The final exam is an open-book written task comprising closed questions (single answer or multiple choice) and open-ended questions (around 5 questions in total) to be answered in a comprehensive way in 60 minutes. Questions have different weights and give 100 points in total recalculated into 10-point scale.
Home assignment 2
Home assignment (HA) is an individually written task to be prepared on the topic discussed during each lecture. HA is announced at the end of each lecture and has to be submitted by Sunday 23:59 as a DOCX or PDF file, by e-mail to the lecturers. Students receive grades for the submitted tasks within a week. Students are required to complete two homework assignments: – one assignment from HA1–HA4; – one assignment from HA5–HA8. Both assignments must be submitted by the specified deadlines. Each HA is a mini-essay around 1000 words following the topics that were provided. HA (if not mentioned specifically) should always include: a short introduction (why the issue matters), a reasoned (evidence-based) written reply to the question asked, and a short conclusion (the main findings summarized). At the end of your submission, please briefly indicate which AI tool(s) you used (if used) and for what purpose — for example: identifying potential data sources, clarifying concepts, drafting code, editing the text, preparing visualizations, or checking the structure of the analysis. Also state how you verified the AI-generated output. The statement should not exceed 3–4 sentences. Example: I used ChatGPT to clarify the distinction between “Innovation active” and “innovative” firms and to check the structure of the report. I independently verified the definitions using the Oslo Manual and checked all calculations in Excel. The interpretation of the results and the final conclusions are my own.

Промежуточная аттестация

2026/2027 2nd module
0.25 * Home assignment 1 + 0.5 * Exam + 0.25 * Home assignment 2

Список литературы

Авторы

Зинченко Екатерина Андреевна
Власова Валерия Вадимовна
Ильясова Дильнара Маратовна

Программа дисциплины