Superior Essay Writers | Handling organizational successful change efforts

Handling organizational successful change efforts

Change is a process that is constant in many organizations. Unfortunately, successful change efforts are
not always properly handled or addressed. OD practitioners, both internal and external to an
organization, need to possess a solid understanding of the models and techniques that can be utilized to
encourage a successful change effort.
Consider the scenario below:
A large healthcare organization, which is located in South Dakota, has been greatly impacted by COVID19. Unfortunately, many employees are now concerned about coming to work in fear of contracting the
virus. While healthcare professionals (e.g., medical professionals, janitorial staff members, etc.) know
that they are required to be physically present to complete their job, various leaders and office staff
members (e.g., accountants, HR professionals, billing assistants, etc.) do not feel comfortable coming
into the office on a regular basis.
The executive level leadership team has recognized these concerns and has contracted with you, an
external OD practitioner, to assist with this change effort. You have decided to utilize Kurt Lewin’s
change model to implement this change.
For this assignment, please do the following:

Explain your role as an external consultant and what competencies you must possess to
successfully carry out this change initiative.
Explain why you have selected Kurt Lewin’s model to implement this change effort.
Identify the various stages of this change model and explain, as related to the scenario, what
would be completed during each stage of Lewin’s change model.
Justify how you will ensure that this change effort is successfully implemented.

Sample Solution

ter on, one of the most known methods will be discussed in a detailed way. The facial recognition methods that can be used, all have a different approach. Some are more frequently used for facial recognition algorithms than others. The use of a method also depends on the needed applications. For instance, surveillance applications may best be served by capturing face images by means of a video camera while image database investigations may require static intensity images taken by a standard camera. Some other applications, such as access to top security domains, may even necessitate the forgoing of the nonintrusive quality of face recognition by requiring the user to stand in front of a 3D scanner or an infrared sensor[15]. Consequently, there can be concluded that there can be made a division of three groups of face recognition techniques, depending on the wanted type of data results, i.e. methods that compare images, methods that look at data from video cameras and methods that deal with other sensory data, like 3D pictures or infrared imagery. All of them can be used in different ways, to prevent crime from happening or recurring. ii. How do these technologies work? As listed above, there exists a long list of methods and algorithms that can be used for facial recognition. Four of them are used frequently and are most known in the literature, i.e. Eigenface Method, Correlation Method, Fisherface Method and the Linear Subspaces Method. But how do these facial recognition work? Because of word limitations, only one of those four facial recognition techniques, i.e The Eigenface Method, will be discussed. Hopefully this will give an general idea of how facial recognition works and can be used. One of the major difficulties of facial recognition, is that you have to cope with the fact that a person’s appearance may change, such that the two images that are being compared differentiate too much from each other. Also environmental changes in pictures, like lightning, have to be taken into account, in order to have successful facial recognition. Thus from a picture of a face, as well as from a live face, some yet more abstract visual representation must be established which can mediate recognition despite the fact that in real life the same face will hardl>

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