Homework answers / question archive / Data Since and Big Data Analytics Initial Post 1: The 3F method is also referred to as the three-step method for describing the distribution of top talents globally and helps in deciding for the country's organization to determine which talent is needed in their country (Zhao et al

Data Since and Big Data Analytics Initial Post 1: The 3F method is also referred to as the three-step method for describing the distribution of top talents globally and helps in deciding for the country's organization to determine which talent is needed in their country (Zhao et al

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Data Since and Big Data Analytics Initial Post 1: The 3F method is also referred to as the three-step method for describing the distribution of top talents globally and helps in deciding for the country's organization to determine which talent is needed in their country (Zhao et al., 2017). The 3-F method uses the brain gain index for analyzing the top talent requirement for the country. The three steps used in the 3F model are: Step 1: Focus on the high-frequency keywords of the particular field by retrieving the top-rated papers. Step 2: By making use of those keywords, determine the top talent for that particular field in the country Step 3: Find out the brain gain index to assess the country in identifying if they need to introduce top talent for that particular field. Big data and cloud computing is emerging technology and is gaining popularity all over the world. These technologies are also widely accepted in the U.S. these technologies are mainly adopted for handling big data technologies (Zhao et al., 2017). Bibliometric research was started in 1917 and is still considered to be most effective for identifying talents. The brain gain index can be by making use of the following formulas: Iik = (Twk / Tik) / (Pw / Pi) Iik - brain gain index value of country (i) in the field (k), Twk - number of world’s top talents in the field k Tik - number of country’s (i) top talents in the field (k), Pw world population Pi - country’s (i) population. If Iik >1, then the country has less talent, and if lik < 1, then the country has enough talent (Zhao et al., 2017). By making use of the Bibliometric 3-F method, the U.S. brain gain Index for determining the top talents in the field of cloud computing and big data was conducted in the year 2017 by Zhao, Huang, Wang, and Liu; they concluded that the Brain index value for the U.S. is 0. 11 whereas the brain index value for china is 2.67 (Zhao et al., 2017). According to the research, as the brain gains index value for the United States is less than one, they have enough talent to forbid data and cloud computing. As China's brain index value is more significant than one, they have to work hard to get the talent in their country (Zhao et al., 2017). The result for the brain gain index of the U.S. from the 3 F method concludes that demand for introducing big data and cloud computing talent is not required. Hence from the Bibliometric method, we can say that there is no need for the U.S. to introduce or hire talented people from other countries. Initial Post 2: Three factors impacting the implementation of the "design for safety" concept are • The designer's existing knowledge about the concept and, at the same time, accepts the idea. If the designer is aware of the concept, he/she might be more interested in implementing it. • If the concept is easy to implement, the designer would be interested in implementing them. • The outcome of the implementation should be positive. It creates an extra incentive to implement the concept. Performing the research analysis: • Referring to 'fig. 4' of the paper named "viability of designing for construction worker safety" we find that it depicts that "rank of priority" of construction safety is 5.7, which is lowest among all project criteria, namely 'quality,' 'end-user safety,' 'cost,' 'schedule,' 'aesthetics' and 'construction safety.' • The reasons for the lowest priority of "construction safety" are discussed below. • To understand why research participants were asked the following question- "what barriers do you see in addressing construction worker safety?" • Most of the participants (7 out of 19 participants) said that it might create interference with construction methods, so they did not want to address it. • Five out of 19 participants said that they did not address it because their liability would increase. The following reasons were also mentioned four times. • No construction experience of designers. • Time constraints of designers in designing the projects. • Designers have no control over hiring the constructor. Initial Post 3: The 3-F method indicates to focus, find out as well as figure out the solution. The three F method is mainly utilized to accurately identify the demands of the top talent present across the world by involving simple calculations. This method is mainly utilized to understand the distribution of the top natural talent across various countries present in the world. This method is mainly used to understand the demand of the top talent and the requirement of the top talent in a particular country. 3F method will help a country estimate the total number of talented people present in a country who tend to work in a particular domain with a high demand for talent. The high-frequency keywords present in the domain will be focused on, which is the first step of the 3 F method (Yoo & Arnold, 2016). The keywords identified in the domain will help estimate the top talent present in this particular domain, thereby recruiting these talents according to the demand. Then the brain gain index of each of these top talents will be calculated to estimate the demand of these talents in a particular country. After calculating the brain gain index, the exact demand prevailing in a country regarding the top talent and the availability of this top talent will be estimated. Cloud computing and big data analytics are the two domains that are estimated to have a massive demand in the United States. The brain gain index of the top talent present in this domain is estimated to be 0.11 (Friedrich, 2016). Hence, the requirement of top talents regarding big data analytics and cloud computing is shallow in the United States of America, which suggests a lower rate of recruitment in these domains. Initial Post 4: In combination with big data, cloud computing has a significant impact in implementing an innovation-driven strategy in a country like China. Even it promotes industrial transformation and updating. There is no denying that educated, productive, and healthy workforces might be necessary for cloud computing and the domain of big data. More so, the top talents are essential for the industry. It has set the tone for introducing a 3 F method where the focus is on distributing the global talents and harbor on the topic of whether decision-making is necessary for China. Such a model goes on to facilitate the decision-making process (Wang et al., 2020). The focus of this method is a calculation of the brain gain index to analyze the top talent forecast in any industry. First, there is a need to focus on the high-frequency keywords on a recurring field by taking stock of the viable retrieved papers. With the help of these keywords, it becomes easy to locate the top talents in the world of web science. Even the brain index would provide a fair estimation of whether the country is looking to formulate a top talent in specific fields globally. The results showed that the brain index of China was 2.61, indicating that China had to produce talents abroad. In addition to China, the top talents did center around the places like the USA and the U.K., and Netherlands. With the emergence of cloud computing modules, large-scale and various information is stored in big data. In fact, with the risk of big data methodology, A.I. technologies are applied where the focus is to develop values and witness an upward curve. Considering the social background, an innovative engineer can be addressing a social challenge with the aid of big data processing. The technologies of cloud computing and A.I. lead to the formation of a new business or value emerging from the industry. Subject: Enterprise Risk Management Initial Post 1: Enterprise risk management is defined as a plan-based business strategy whose objective is to determine, access, and simultaneously prepare for the hazards and any other danger that may interfere with normal operations (Beasley, 2016). There exists a difference between ERM and traditional risk management. The main difference between the two is the focus on insurable and non-insurable risks. Traditional risk management majorly emphasizes the type of risks that can be insured (James, 2020). Examples of such risks involve a worker accidentally falling down and unfortunately broke his leg or arm. Another type of risk that can be insured is the fire, which can destroy an organization's facilities. The cost of the two mentioned risks in case they occur can quickly be recovered using insurance. Therefore, traditional risk management can be utilized in preparation for such situations (James, 2020). On the other hand, enterprise risk management serves two purposes: it helps determine insurable and non-insurable risks. Traditional risk management majorly occurs after an incident has already taken place. It is done to prevent such risks from happening in the future. On the other hand, risk management focuses lots and determines some of the events and the situations that are likely to occur in the future (James, 2020). After prediction has been made using ERM, a plan will immediately be developed to be used for risk reduction. Initial Post 2: Enterprise risk management (ERM) can understand and control the nature and level of risks taken to pursue business strategies. In any organization, business leaders must manage risks to protect their business, and it has been part of their day-to-day activities for several decades. ERM has benefited from thinking differently about how the enterprise manages risks affecting the company. Traditionally, organizations manage risks by placing responsibilities on business unit leaders within their areas. For example, the Chief Operating Officer is responsible for managing production and distribution, and the Chief Marketing Officer is responsible for sales and customer relationships. Each of these leaders manages risks in their areas. This traditional approach has limitations that are undetected by the management that affects the organization. There might be some risks that do not follow an organizational chart, and they can emerge anywhere in the business, which causes that risk to go unnoticed. Some risks may occur when owners fail in making decisions to respond to a particular situation. To overcome these potential risks, business leaders have begun the concept of enterprise risk management. It is essential to understand that ERM is an ongoing process because the risks constantly emerge and evolve. Some aspects of an ERM process like strategy/objective setting, risk identification, risk assessment, risk response, communication, and Monitoring any organization should follow and design their strategies to identify regularly, access, respond to and monitor risks related to code business model. The core areas of ERM include hazard risk management, internal control, internal audits, and regulatory compliance. The end goal of the ERM process is to understand the top risks that management believes are the most critical risks to the strategic success of the enterprise. It helps the management think about actions that could lower the impact of risks and prevent them. Instructions: • Total of 6 Responses (4 from Dig Data, two from Enterprise Risk Management) • Minimum of 175 words for each response • Minimum of 2 APA References for each response • Responses should cover: o Ask an engaging, thoughtful question about the topic. o Provide extensive additional information on the topic. o Explain, define, or analyze the topic in detail o Make an argument concerning the topic.