DOI: 10.33917/mic-2.115.2024.35-50

The issues of the correct application of mathematical statistics in the processing of marketing research results, taking into account the type of data obtained, are considered. The parameters of the configuration of images of market objects (goods/ trademarks/ firms) in the space of image-forming factors of interval type, characterizing the location, formedness and differentiation of images, are discussed. Examples of the analysis of images of market objects in the space of interval type factors (both initial and quantified) are given. Possible conclusions about the configuration of images are considered, practical recommendations on the selection of target segments and determining the optimal position for a product / brand/ company are discussed.

References:

1. Zakuskin S.V. Type data consideration in market objects analysis. Part 1. Building images based on factors of non-numeric types. Microeconomics. 2023;5:23–38 (In Russ.).

2. Zakuskin S.V. Type data consideration in market objects analysis. Part 2. Building images based on factors of numeric types. Microeconomics. 2023;6: 29–47. (In Russ.).

3. Zakuskin S.V. Type data consideration in market objects analysis. Part 3. Analysis of images and positions by factors of non-numeric types. Microeconomics. 2024;1:35–54. (In Russ.).

4. Zakuskin S.V. Analysis of consumer ideals in the image-forming space:  building perfect images. Microeconomics. 2021;3:22–31. (In Russ.).

5. Zakuskin S.V. Analysis of market images formedness. Creative Economics. 2020;6:1115-1136. (In Russ.).

6. Zakuskin S.V. Analysis of market images differentiation. Creative Economics. 2020;7:1447-1466. (In Russ.).

7. Zakuskin S.V. Integration of marketing communications based on the analysis of consumer preferences. Russian entrepreneurship. 2018;19(6):1913-1937. (In Russ.).

DOI: 10.33917/mic-1.114.2024.35-54

The issues of the correct application of mathematical statistics in the processing of marketing research results, taking into account the type of data obtained, are considered. The parameters of the configuration of images of market objects (goods/ trademarks/ firms) in the space of image-forming factors of nominal and ordinal type, characterizing the location, formedness and differentiation of images, are discussed. Examples of the analysis of images of market objects in the space of nominal and ordinal type factors (both initial and quantified) are given. Possible conclusions about the configuration of images are considered, practical recommendations on the selection of target segments and determining the optimal position for a product / brand/ company are discussed.

References:

1. Zakuskin S.V. Type data consideration in market objects analysis. Part 1. Building images based on factors of non-numeric types. Microeconomics. 2023;5:23-38 (In Russ.).

2. Zakuskin S.V. Integration of marketing communications based on the analysis of consumer preferences. Russian entrepreneurship. 2018;19(6):1913-1937 (In Russ.).

3. Zakuskin S.V. Analysis of consumer ideals in the image-forming space:  building perfect images. Microeconomics. 2021;3:22-31 (In Russ.).

4. Zakuskin S.V.  Analysis of market images formedness. Creative Economics. 2020;6:1115-1136 (In Russ.).

5. Zakuskin S.V. Analysis of market images differentiation. Creative Economics. 2020;7:1447-1466 (In Russ.).

6. Zakuskin S.V. Nontrivial results of descriptive statistics in marketing research. Russian entrepreneurship. 2018;19(12):4041-4064 (In Russ.).

7. Zakuskin S.V. Evaluation of the relative and absolute attractiveness of target group segments. Marketing and marketing research. 2020;2:92-102 (In Russ.).

DOI: 10.33917/mic-6.113.2023.29-47

The issues of the correct application of mathematical statistics in the processing of marketing research results, taking into account the type of data obtained, are considered. The indicators of the trend and the spread of data in the analysis of consumer preferences and perception of market objects (goods/ trademarks/firms) in relation to numeric data (interval-type and stronger) are discussed. Examples of constructing images of market objects based on interval type data are given. The advantages of analyzing interval-type factors constructed in an optimal way in solving the tasks are shown.

References: 

1. Zakuskin S.V. Type data consideration in market objects analysis. Part 1. Building images based on factors of non-numeric types. Microeconomics. 2023;5:23–38. (In Russ.).

2. Orlov A.I. Non-numeric statistic. Moscow: MZ–Press, 2004. 513 p.

3. Zakuskin S.V. Integration of marketing communications based on the analysis of consumer preferences. Russian entrepreneurship. 2018;19(6):1913–1937. (In Russ.).

4. Zakuskin S.V. Analysis of consumer ideals in the image-forming space: problem statement and identification of factors. Microeconomics. 2021;2: 19–31. (In Russ.).

5. Zakuskin S.V. Analysis of consumer ideals in the image-forming space:  building perfect images. Microeconomics. 2021;3:22–31. (In Russ.).

6. Zakuskin S.V. On the question of the legality of applying mathematical and statistical methods to research data of the «wrong» type. Practical marketing. 2022;9:3–23. (In Russ.).

7. Kendall M.G., Stuart A. Distribution theory. Moscow: Science, 1966. 588 p.

8. Zakuskin S.V. Analysis of emotional preferences in the image-forming space. Microeconomics. 2021;4:42–56. (In Russ.).

DOI: 10.33917/mic-5.112.2023.23-38

The article examines the regional structure of investment in the development of renewable sources of electricity and the impact of the global energy crisis on its volume. Forecasts are made for the development of renewable energy based on the current state and the impact of the global energy crisis on the plans drawn up by the world community to achieve sustainable development goals. Structural changes in the global energy transition and, in particular, in the process of developing electricity generation based on renewable energy sources in the period from 2021 to 2022 are analyzed.

References: 

1. Aivazyan S.A., Buchstaber V.M., Yenyukov I.S., Meshalkin L.D. Applied statistics: Classification and reduction of dimensionality. Moscow: Finance and Statistics, 1989. 607 p.
2. Zakuskin S.V. On the question of the legality of applying mathematical and statistical methods to research data of the «wrong» type. Practical marketing. 2022;9:3-23 (In Russ.).
3. Zakuskin S.V. Analysis of consumer ideals in the image-forming space: building perfect images. Microeconomics. 2021;3:22-31(In Russ.).
4. Zakuskin S.V. Analysis of consumer ideals in the image-forming space: problem statement and identification of factors. Microeconomics. 2021;2: 19-31(In Russ.).
5. Zakuskin S.V. Integration of marketing communications based on the analysis of consumer preferences. Russian entrepreneurship. 2018;19(6):1913-1937 (In Russ.).
6. Kendall M.G., Stuart A. Distribution theory. Moscow: Science, 1966. 588 p.
7. Orlov A.I. Non-numeric statistic. Moscow: MZ-Press, 2004. 513 p.