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I’m studying for my English class and need an explanation.
Extra credit
Please watch the following videos on the Ikea plant experiment. After the videos are some questions.
https://youtu.be/s-UaxUx2HMs
First, do the results “speak for themselves”? If so, in what way? If not, in what way? (Hint: results never “speak for themselves.” Data always need to be properly interpreted.
Second, how is the experiment flawed?
Third, even if the experiment is flawed, does it matter? In other words, even if the experiment is flawed isn’t the message that it sends more important than getting an experiment right? (Hint: it does matter.)Can you answer below question: nursing case study help
I’m studying for my Business class and don’t understand how to answer this. Can you help me study?
The external environment of an organization comprises of all the entities that exist outside its boundary but have significant influence on its growth and survival. An organization has little or no control over its environment but needs to constantly monitor and adapt to these external changes.
Share a recent example from business news about an external organizational challenge, how the company addressed it (internal factors), and what you would do differently.
No PlagiarismTwo discussions in APA format. Please go through the requirements
Help me study for my Computer Science class. I’m stuck and don’t understand.
Discussion 1.
(a)What might an integrated supply chain look like for a financial services company such as an insurance provider or a bank? What are the components of the process? What would the customer relationship management process look like for this same firm?
(b) What, in your opinion, is the difference between a decentralized architecture and a centralized architecture? What is an example of a business decision that would be affected by the choice of architecture?
(c) From your personal experience, what is an example of software as a service? Of BYOD?
References and in-text citations must be APA compliant. The initial post is due on Saturday (6th day), while 2 responses (substantial) to colleagues’ posts are due on Sunday.
Discussion 2.
In Chapter 13, the author states “several practice-oriented agent-based simulation models have been developed that are aimed to support policy making”. Research two of these and discuss them, clarifying how they are “agent-based”, what their game entails, and how they tie into policy-making. You’ll need two references with citations for each reference to do this correctly.
A) Create a new thread. As indicated above, find two examples of agent-based games.Business class
I’m studying for my Business class and need an explanation.
Write a minimum of 1200 words with 3 scholarly sources………..NO PLAGIARISM
1. In a narrative format, discuss Nike from a strategic perspective. Information concerning recent changes in the firm is readily available
online
and should be accessed. Strategic issues should be discussed in “real time.”
2. Some critics—citing previous allegations of sweatshops—have argued that Nike has not been ethical in its approach to production in developing countries. Is this criticism warranted? Why or why not? Additional
Internet
research may be required to support your position.
3, How has Nike accomplished considerable growth over the past two decades? Can this continue? Why or why not?
4. Suppose you are the CEO of Nike and the world is coping with an economic recession. Would you change the corporate strategy? If so, what changes would you make and why? If not, why not?Application of Big Data Analytics during systems maintenance: online nursing assignment help
I need an explanation for this Computer Science question to help me study.
Need a 6 page paper in APA format.
Statement of the problem: While infrastructure is growing, it is getting challenging to maintain that huge infrastructure in production environments. Systems maintenance is getting more critical as applications and customers demand high availability and zero downtime. In any industry, maintaining production systems is increasingly critical as downtime could be costly and damage the reputation of the company. Manufacturing industries take critical care maintaining the machinery that could lead to catastrophic damage in production. As equipment and infrastructure is emerging, they are producing huge amounts of data sets which can be used as a datasource to Big Data and analyze the data and prevent outages in production environment.
Conclusion: The aim of this paper is to provide the use and application of Big Data analytics tools and techniques in production environment to reduce the systems outage, detect and prevent damage and help during maintenance.
If possible use below references:
Ray Y. Zhonga, Chen Xub, Chao Chenc and George Q. Huangd, “Big Data Analytics for Physical Internet-based intelligent manufacturing shop floors”
Jens Baum, Christoph Laroque, Benjamin Oeser, Anders Skoogh, Mukund Subramaniyan, “Applications of Big Data analytics and Related Technologies in Maintenance—Literature-Based Research”
Lieberman Joshua, Leidner Alan, Percivall George, Ronsdorf Carsten, “Using big data analytics and IoT principles to keep an eye on underground infrastructure”
