A long-term competitive advantage that is not easily to duplicate or surpassable by the competitors.
it allows the firm to earn excess returns for its shareholders.
Answer:
My Answer: Why did you choose to work here? How do you feel about the organization here? What are you likes about the company? Why are working in the same organization? Would you recommend the organization for future employees?
Explanation:
Plato's Answer: I interviewed my aunt, who works at Triple J Productions. She has been working there for 20 years. When she started out, the company offered voluntary monthly trainings for employees looking to advance. The company had a family picnic every summer for employees and their families. The company was very honest, cared about its employees, customers, etc. Three years ago, the CEO passed away. His son took over the company. Now, they do not have any company picnics. Training has stopped and the company often outsources jobs to employees who will work for low salaries. She is now quite unhappy at the company, but feels that she has invested too much time in it to go somewhere else. Ten years ago, she would have said it is a great place to work. Today, she feels that the company's common practices are sneaky and underhanded and their main motivation is money.
I hope it helps!
<span>E, there is not enough information without actually having the Return on Equity from which we can subtract the operating return. With only percentages, we cannot extract this answer.</span>
Answer:
Why are indexing rules important when filing names alphabetically? ... Written rules provide a guide to a filer for determining the indexing units consistently. If filing is performed consistently and fast, accurate retrieval is more likely in an alphabetic file
Explanation:
hope this helps!!
Answer:
The correct answer is genetic algorithms
Explanation:
Genetic Algorithms are adaptive methods that can be used to solve search and optimization problems. They are based on the genetic process of living organisms. Throughout the generations, populations evolve in nature according to the principles of natural selection and the survival of the strongest, postulated by Darwin (1859).
By imitating this process, Genetic Algorithms are able to create solutions for real-world problems. The evolution of these solutions towards optimal values of the problem depends to a large extent on their adequate codification.
