Typology and classification of a management decision: Google Company

Design and development: At this stage, the product and functionality design are created, the system architecture is developed, the code is written, and testing is carried out.Testing and adaptation: The product or functionality is subject to various types of testing, including functional, user, and beta testing. The feedback received is used to make adjustments and improve the product.Launch and scaling: After successful completion of testing, the official launch of the product or functionality takes place. Then there is scaling, including expanding functionality, increasing the user base, etc.Various variables can influence the success of the implementation. They may include:Understanding the market and users: The deeper the understanding of user needs and preferences, the higher the probability of successful implementation.Quality of development and testing: High quality of code and testing reduces the risk of errors and increases user satisfaction.Marketing and Promotion: An effective marketing campaign can attract more users and increase product awareness.The level of competition: Competition in the market can affect the success of the implementation. It is necessary to take into account the competitive advantages and unique features of the product.Resources and support: Having sufficient resources (time, money, and staff) and the support of the company's management is also important for a successful implementation.Feedback and reaction to it: Effective use of feedback from users allows you to quickly respond to problems and needs, which contributes to the improvement of the product and its successful implementation.The transition to cloud technologies is becoming increasingly popular among companies as it provides flexibility, scalability, and usability. Google Workspace provides cloud-based solutions that simplify the information management process and reduce the cost of IT infrastructure. In turn, this helps to improve productivity and reduce the time spent on administrative tasks, allowing the business to focus on its key goals and strategic objectives.Google Workspace is a suite of cloud-based business applications, including Gmail, Google Drive, Google Docs, Google Sheets, Google Slides, and more. It provides companies with tools for email, file storage, document collaboration, and workflow management.Here are a few reasons why Google Workspace is interesting for business modeling:A wide range of functionality: Google Workspace offers a variety of tools for working in the office, which makes it attractive to a wide range of companies, from startups to large corporations.Cloud-based: The transition to cloud technologies is becoming increasingly popular among companies, as it provides flexibility, scalability, and usability. Google Workspace provides cloud-based solutions that simplify the information management process and reduce IT infrastructure costs.Collaboration and Accessibility: Google Workspace allows employees to work on documents simultaneously, share information in real time, and easily share files. This improves the collaboration process and increases productivity.Integration with other Google services: Google Workspace integrates with other Google services such as Google Calendar, Google Meet, Google Chat, and others, which facilitates the organization of workflows and communication within the company.Support and Security: Google provides reliable data support and protection to its customers, which is important for business customers, especially those who work with sensitive information.Based on these factors, Google Workspace is an interesting object for business modeling, as it offers a wide range of functionality, meets current trends in cloud technology, and can be successfully monetized through various subscription or service packaging models.In conclusion, Google Workspace is a powerful tool for modern companies seeking to effectively organize their work and increase productivity. Thanks to its wide range of functionality, cloud-based, and integration with other Google services, it provides not only ease of use but also flexibility in solving a variety of tasks. The transition to cloud technologies simplifies the information management process, reduces the cost of IT infrastructure, and helps to increase employee productivity. All this makes Google Workspace an attractive choice for companies of any scale seeking effective collaboration and a modern approach to organizing workflows.Building a model for the implementation of a new product or functionality using the System Dynamics methodThe primary focus will be on the launch and early adoption phases of the Google Quantum Computing Cloud service. This includes marketing efforts, initial user acquisition, and support mechanisms to handle early technical issues and user feedback.The model will consider the first two years post-launch to capture early adoption trends and potential growth trajectories.Parameters of the modelGoogle Quantum Computing Cloud serviceimplementation:Key Players:- Google: The company developing and launching the Quantum Computing Cloud service.- Potential Users: This includes businesses (particularly those in industries like finance, pharmaceuticals, and logistics that could benefit from quantum computing) and research institutions (universities and research labs).- Competitors: Other tech companies and startups in the quantum computing space, such as IBM, Microsoft, and smaller specialized quantum computing firms.Stocks:- Potential Users: The pool of businesses and research institutions that could potentially adopt the Google Quantum Computing Cloud service.- Current Users: Those who have already adopted and are using the service.- Competitor Influence: The impact of competitors' actions on Google's market share and user acquisition.Flows:- Marketing Efforts: Activities and expenditures aimed at increasing awareness and interest in the Google Quantum Computing Cloud. This flow affects the rate at which potential users become current users.- Sales: The conversion rate of potential users to current users through successful sales efforts.- Customer Acquisition Costs (CAC): The costs associated with acquiring each new user, including marketing, sales, and promotional activities.- Technical Support Requests: The volume of support requests from current users, impacting user satisfaction and retention.Estimation Parameters and Initial ConditionsParameters:- Market Size: Estimate the total number of potential users in the target market. For example, there might be 10,000 potential businesses and research institutions globally.- Marketing Effectiveness: Measure of how effectively marketing efforts convert potential users to current users. Assume an initial effectiveness rate of 2%.- Sales Conversion Rate: Percentage of potential users contacted by sales that become current users. Start with an estimate of 10%.- Customer Acquisition Cost (CAC): Average cost to acquire a single user. This might be estimated at $10,000 per user based on marketing and sales expenses.- Initial Technical Support Requests: Estimate the number of support requests per user per month. Assume each user makes 0.5 support requests per month initially.- Competitor Influence: Assume competitors capture 20% of the interested market due to their parallel efforts and offerings.Initial Conditions:- Initial Potential Users: 10,000 (total market size at launch).- Initial Current Users: 0 (service is newly launched).- Initial Competitor Influence: 2,000 potential users influenced by competitors (20% of the total market).Figure 1. Main view of the modelFigure 2. Example of the model workingFigure 3. Example of the model working with statistics As can be seen from Fig. 3, the number of users begins to decline after 4 months; optimization of the model parameters is required.Improving the process of implementation a new product or functionality to GoogleTo optimize the operation of the model, we will conduct an experiment. We will change the parameters:Marketing Effectiveness, Competitor Influence, Sales Conversion Rate.Figure 3. Before changing parametersFigure 3. After optimizationCONCLUSIONSumming up,management decisions are strategic decisions made by managers to achieve specific goals within an organization. They involve analysis, forecasting, optimization, economic justification, and alternative choices. These decisions are consistent, methodical, and can be made in an uncertain environment. They affect the organization as a whole, tailor to different time horizons, and focus on goal orientation. The process includes learning about circumstances, setting objectives, creating an Evaluation Framework, analyzing circumstances, assessing them, and creating a situational forecast. Decision-making in management involves five types: impulsive, risky, balanced, ambiguous, and careful.The tasks of the project were identified and solved, and the goal was successfully achieved. The knowledge I have gained will be actively applied in the further learning process. Thank you for your attention!LIST OF REFERENCESV.E. Zarembo, O.V. 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