Organizational policies originate with top level of management and are disseminated to lower levels for implementation.
Top level of management consists of an organization’s board of directors and the chief executive or the managing director of the company.
It is the ultimate source of power and authority because it oversees the goals or policies, and procedures of a company. Main priority of the top level management is on the strategic planning and execution of the overall business success.
The roles and responsibilities of the top level of management can be summarized as given below:
To lay down the objectives and the broad policies of the business enterprise.
To issue necessary instructions for the preparation of department-specific budgets, as well as schedules or procedures, etc.
To preparing strategic plans and policies for the organization.
To establish controls of all organizational departments.
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Answer:
PV = 1414
Explanation:
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Answer:
I could display the qualities of a visionary leader by offering a coherent vision for the future, and a good economic plan.
Explanation:
A visionary leader in such a dire situation would first of all show a guide to the people, would tell them that there is hope, and would explain to them why such hope still exists.
Such leader would also lay out an economic plan that can resolve, at least, some of the economic issues of the country, because it is true that no plan is perfect, and no government policy solves all problems by itself.
Answer:
The options for this question are the following:
a. 1
b. 2
c. 0.5
d. 1.5
The correct answer is a. 1
.
Explanation:
Group analysis or grouping is the task of grouping a set of objects in such a way that the members of the same group (called a cluster) are more similar, in some sense or another. It is the main task of exploratory data mining and is a common technique in the analysis of statistical data. It is also used in multiple fields such as machine learning, pattern recognition, image analysis, information search and retrieval, bioinformatics, data compression and graphic computing.
Group analysis is not in itself a specific algorithm, but the task pending solution. Clustering can be done using several algorithms that differ significantly in your idea of what constitutes a group and how to find them efficiently. Classical group ideas include small distances between members of the group, dense areas of the data space, intervals or particular statistical distributions. Clustering, therefore, can be formulated as a multi-objective optimization problem. The appropriate algorithm and the values of the parameters (including values such as the distance function to use, a density threshold or the number of expected groups) depend on the set of data analyzed and the use that will be given to the results. Grouping as such is not an automatic task, but an iterative process of data mining or interactive multi-objective optimization that involves trial and failure. It will often be necessary to pre-process the data and adjust the model parameters until the result has the desired properties.