Dmitriy Gakh, April 10, 2024
Introduction
The Societal Patterns Evolution Model (SPEM) was created to model the development of society and organizations (relevant scientific articles are presented in the “References” section below). SPEM can be used to identify problems and opportunities for development and growth. This text describes a simple algorithm for assessing the maturity of an organization from the perspective of an employee (preferably a manager or higher). This is a simple demonstration of how the SPEM model can be used.
Algorithm
The method is implemented as a software product (currently under development, stay tuned for updates). Using the tool is simple: the user answers 10 questions, after which the tool displays an assessment report. 10 questions are formed into pairs of 5 statements, where the user must choose the priority of one of two statements.
Statements:
ST0. More personal freedom is needed – in the work schedule, the ability to leave the office, deadlines for completing work, choosing tasks, etc.
Explanations: Personal freedom is a fundamental value.
ST1. More discipline, rules, and order need to be introduced.
Explanations: Discipline, rules, and order bring clarity, stability, and control to operations within an organization.
ST2. It is necessary to introduce more opportunities for fair increases in earnings and other benefits with better work results.
Explanations: Increasing wages and other benefits with increasing work results is the best motivation.
ST3. It is necessary to improve relationships within the team.
Explanations: Warm relationships in the team are the key to comfortable work and better work results.
ST4. The ability to express and implement ideas and be creative needs to be improved.
Explanation: Opportunities for the expression and implementation of ideas and creativity contribute to a greater sense of usefulness and value for the employee in the organization.
Calculations:
1) For each pair of statements, the user selects an answer from -5 for the left statement to +5 for the right one. Thus, each question acquires its own score. Unique combinations of questions are considered in which the questions differ from each other. The points received after answering the questions will be stored in a sequence of 10 variables Rate0, … Rate9. The amounts received from answers to questions of the corresponding level will be designated as Sum0, Sum1, Sum2, Sum3, Sum4.
2) Points are calculated for each pair as follows:
Qleft = 5 – R
Qright = R + 5
Sum0, Sum1, Sum2, Sum3, Sum4 contain the sums of points for the corresponding levels of statements.
Reports are generated based on the sum of points.
3) Development balance report:
If all questions are answered equally, questions of all levels receive points each of 20 (4 appearances in a pair with a point of 5). Deviation from balance can be calculated as the distance from the vector of balanced responses (20,20,20,20,20).
4) Report on the level of sustainability:
The largest difference between the sums of the levels Sum0 and Sum1, Sum1 and Sum2, Sum2 and Sum3, Sum3 and Sum4 indicates the largest area of imbalance and level of stability. The higher the level of stability, the better.
5) Report on development levels:
The maximum score that can be obtained at a certain level is 40 (each question paired with others appears 4 times, and the maximum score is 10).
In this case, the levels can be graded according to the following values:
<=20 – There are no problems in development at the level;
<=30 – There are certain problems at the level;
>30 – There are serious problems at the level.
References
Gakh, D. (2023). Societal Patterns Evolution Model in Development of Economy, Society, and Environment, Journal of Research, Innovation and Technologies, Volume II, 2(4), 142-160. https://doi.org/10.57017/jorit.v2.2(4).03
Gakh, D. (2023). A Look to Model of Society and Teams Development Based onInitial Formation, Primary, Adaptable, Information, and Creative Society Patterns. International Journal ofManagement Research and Economics. 3(1), 36-56. https://doi.org/10.51483/IJMRE.3.1.2023.36-56
Gakh, D. (2022). A Look at Evolution of Teams, Society, Smart Cities, and Information Systems based on Patterns of Primary, Adaptable, Information, and Creative SocietyProceedings of the 17th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 30, pages 701–704 (2022) https://dx.doi.org/10.15439/2022F34
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