Business Economics Questionnaire and Answers

Corporate Economic Distribution - 2 Questions 1) Consider the following demand function. 5 P = - Q + 46 and the next supply (a) There are some equilibrium prices and quantities. (A) At the equilibrium level, the Qd = Qs equilibrium price is Rs 6 and the equilibrium quantity is 16. (B) Suppose the demand function moves to the right and the new demand equation becomes 5P = - Q + 55. What is the new equilibrium price? (B) At equilibrium level, Qd = Qs equilibrium price is 7 rupees, equilibrium quantity is 20.

The answer to the first question is that the commercial possibilities of AI are real. Today, businesses can start applying AI to change the economics of automation of business processes that require artificial intelligence. With AI you can increase the workload by 100 times through a labor-intensive business process while reducing unit economy by 90%. Many mainstream media depict artificial intelligence as a mysterious and mysterious thing and we only need to praise the master magician from companies such as Google, Facebook, Apple, Amazon, Microsoft. This depiction is a kind of injury. If you want companies to adopt artificial intelligence, corporate executives are necessary to understand artificial intelligence. Artificial intelligence is not magic. AI is data and mathematics, patterns and iteration. If you want companies to adopt AI, you need to increase transparency and explain the three important interrelated concepts of AI.

Quick answer is a quick answer that is necessary to complete customer satisfaction. In fact, simple economics excludes this. The type of retailing is about the same as the answer to the needs of people. However, there are a few things to consider when determining the number of employees needed for business.

Support staff primary data was collected by distributing personalized questionnaires to selected respondents through a systematic sampling program. A total of 135 (38%) responses were collected and used for final analysis. In order to determine the extent of the impact, the training transfer activity can be explained by the relevance of the training content, the transfer design, and the transfer motivation score; 3 proposing a predictive multiple linear regression model. The three predictors are the content validity training (X1), the transfer design (X2), and the transfer motive (X3). Based on this method, we found that all three predictors are important for explaining the execution of the training transfer. As shown in the coefficient table (see Table 1), the estimation model is as follows.