Impact Of Technology On The United States - 1191 Words

Finally, the last obstacle is technological. With renewable energy and green technology being new, the technology is simply not as efficient as it is required to be (New York Times, Arthur Ochs). Energy means nothing if there remains no long term way to store it, â€Å"Energy is most useful to us when it is concentrated, transportable and storable† (Powering Planet Earth, 41). So a larger capacity and longer lasting battery would be greatly beneficial to green technology as well as the outside that market due to the spillover effects. Though the United States has been holding back, several other countries have begun making changes for â€Å"scientific uncertainty is no excuse for inaction on an environmental problem,† as stated by a German principle in the 1980s. Later in 1990, Germany added environmental protection in their constitution (John Dryzek, 167). Several other countries have also implemented Green policies and set goals to accomplish in the upcoming years. In Saskatchewan, Canada, the 2009 investment for wind powered renewable energy was reported at $162 billion dollars towards the installation of renewable energy (Garrett Richards, 691). Europe also has allocated $105 billion Euros to â€Å"subsidize ‘green’ programmes and infrastructures,† The Renewable Energy industry involves 350,000 jobs and generates 40 billion Euros a year in business, according to Oliver Shafer, the policy director of the Renewable Energy Council in Brussels (Quirin Schiermeier, 264-265). In 2009 whenS how MoreRelatedComputer Technology And Its Impact On The United States Military1669 Words   |  7 Pagesof technology. But how did it get there? Your smartphone is the culmination of a movement that started more than fifty years ago. Although, technology as a whole has grown more in the past fifty years than in the past two thousand years. It all started with the creation of the personal computer. The first desktop computer to be mass produced and sold nationwide was the MITS Altair 8800 in 1975. However, interest in computers was very high before that point in time. In fact, several technology companiesRead MoreImpact Of Technology On Asian Students And United States Students985 Words   |  4 PagesTechnology is also very important with a student’ education. There are so many uses for technology that can show beneficial for both Asian students and United States students. Throughout the United States there is a wide variety of technology available for teachers. Mathemati cs Analysis Software, like scientific calculators, function graphers, and geometry packages are made available for students. Since the 1990’s a change in mathematics education has taken place because of the implementation ofRead MoreSarbanes Oxley Federal Law1073 Words   |  5 PagesInformation technology industry is developing very fast today. Being self-accelerated, information Technology develops ever more rapidly than the millions of users require. Moreover, the technology is important not only for general users but also for business operations. That is because it provides both tangible and intangible benefits that help to increase profit and ensure the effectiveness of customer service. These factors basically make information technology organizations extremely profitableRead MoreTechnology And Its Impact On Technology1468 Words   |  6 PagesThe technology has presented an enormous deviation in this world, and alike somewhat deviation, it has not been easy to become accustomed to the variations presented. In this report, it is possible to highlight that this technology consumes some time for some people to take its ideas. The main motive why this technology hasn’t been well expected is for the reason that its ethical issues that has been presented by the technological. In respect to how the technology has been received, it is seriousRead MoreEconomic Impact Of The Space Race1486 Words   |  6 PagesEconomic Impacts of the Space Race By: Kimia The space race was a competition between the United States and the Soviet Union that occurred during the Cold War. They competed for dominance in space technology and spaceflight, which spurred many significant inventions and events. Some of these inventions and events include the first-ever landing on the moon, the first artificial satellite to be launched into the Earth’s orbit, the establishment of NASA, the invention of the microprocessorRead MoreThe Future Challenges Facing Health Care in the Us1231 Words   |  5 PagesThe Future Challenges Facing Health Care in the United States Gregrey McDaniel Professor: Manuel Johnican, PhD Strayer University HSA 500 11 June 2011 Identify and describe at least three of the most difficult issues facing health care in the United States today. One of the most difficult issues facing the United States health care system is combating diseases. Even with mortality rates continuing to decrease and with life expectancy rates continuing to increase, these trendsRead MoreFedex Macroenvironment Study1618 Words   |  7 Pagesretailers change the sales channel combinations. The greatest impact of the Web-bases electronic revolution has occurred in companies adopting the click-and-mortar approach. Click- and-mortar is one the strategy used by the companies or retailers that they continue to conduct their business in the physical locations and have added the electronic commerce component to their business activities. According to one study, 37% of United States retailers are selling through a combination of the internet,Read MoreImpact Of Globalization On The United States1454 Words   |  6 Pagesseveral departmen ts. I would like to give an overall view and perspective of the impact of globalization on the United States from a macro look at how globalization is now shaping America. Likewise, I will discuss in more detail how globalization has impacted the United States as it relates to technology, trade, transportation, and environmental pollution. Lastly, I will explain the impact of globalization on the United States as to how it relates to these forces on domestic companies, workers, indigenousRead MoreTechnology And Economic Growth. When Studying Economics,1646 Words   |  7 PagesTechnology and Economic Growth When studying economics, one often finds periods of growth as well as periods of recession. There have been many reasons for these highs and lows throughout history. The United States has experienced many recessions dating back to the 1929 depression under Herbert Hoover to the most recent 2008-2009 depression caused by failing housing markets and malpractice (Amadeo,2017). However; the U.S. economy has always recovered and has flourished after recessions. One of theRead MoreGlobal Intelligence Case Study1071 Words   |  5 Pagesever growing problem for the United States. Technology giants within the United States are continually hammering the issue of immigration reform and its impact on recruiting technology geniuses. Google CEO predicts that China will reach AI parity with the United States within in the next five years. And, he warned that America is hamstringing itself thanks to stringent immigration rules that block some of the worlds best and brightest from entering into th e United States.19 Goldman Sachs has levied

Women s Rights Amendment Act - 1483 Words

Women have come a long way ever since the 19th Amendment was passed in 1920 and thereafter with the Equal Rights Amendment Act in 1972 to the U.S Constitution. After decades of struggling and protesting, the 19th Amendment was passed and ratified to grant women the right to vote. Fifty-two years later worth of revisions and persistency, the Equal Rights Amendment was ratified in which it declared that everyone had both Human and Civil rights in the States regardless of sex. Not only did these amendments have an immense impact on the lives of women and sequentially with the rest of the citizens of this nation, but on the people of today’s century. Women have done a tremendous job in proving society wrong about the roles women are†¦show more content†¦By the late 19th century and early 20th century women were more involved in the workforce. They were doing domestic service, working in factories, workshops, tin and coal mines, farms, etc. Many of the jobs that women were doing required a lot of physical labor, and even though they still wanted or needed to have these jobs they weren’t compensated with a proportional wage. What they received was looked as a second earning for the household and the men of the house whom had far more â€Å"skillful† jobs required a higher pay. Truth is, women were the ones doing the difficult jobs and working more than the men were but that was of no importance but to women themselves. During World War I (1914-1918) a massive number of women joined the armed forces in hopes of being able to serve their country and those in need. There was a high demand for nurses to attend injured soldiers, and as a result from that women wanted to join the armed forces knowing that while the men were treated for their injuries they too could help out their country if permitted. Furthermore, women had to take on the jobs left by all of the men that went to war. Opening the possibilities of women to keep working even after the war is over, creating the employment rate to go higher. Some women had to go back to what they were doing before but a majority of women were able to keep working alongside men. Their wage was a lot less than men but

Behavioral ad Targeting

Question: Discuss about the Behavioral ad Targeting. Answer: Behavioral ad targeting for online marketing This process defines a range of techniques and technologies for online marketing. It is mainly used by the online advertiser or publishers where their exact aim is to increase the effectiveness of advertising. Moreover behavioral targeting mainly uses the information which is collected from different websites (Weller Calcott, 2012). This process can be used to develop the online marketing of any organization by using proper behavioral and targeting strategies. Customer acquisition In the field of marketing and advertising, customer acquisition is the term which is used to describe the policy of introducing new customers to a particular product or brand. This process is related to the investment which is made and also on the return of the investment. Behavioral ad targeting considers customer acquisition in the field of online marketing as every strategy is taken depending on the demand of the customers only. Brand awareness Brand awareness can be concluded as the recognition of the consumers, such as the availability and the existence of a product or service of a particular company. Moreover, it is an important way of emphasizing the specification of any particular product which differentiates the product from the others (Rossiter, 2014). Practical example Levi Strauss Co. is one of the leading companies in the world. The main success in this endeavor is based on their strategies which taken in the field of online marketing and offline is well. They have reached to the particular demand of every customer which has helped them to increase their customer acquisition as well as their brand awareness. References Rossiter, J. (2014). Branding explained: Defining and measuring brand awareness and brand attitude.J Brand Manag,21(7-8), 533-540. https://dx.doi.org/10.1057/bm.2014.33 Weller, B. Calcott, L. (2012).The Definitive Guide to Google AdWords. Dordrecht: Springer.

The Absenteeism and Its Statistical Significance free essay sample

The below information contains the factors that influences absenteeism in the workplace that we are dealing with in this practical. The regression standard format that we will also provide with these factors helps us to understand technically these factors and to make a clear meaning of these factors economically. The randomly selected sample of 100 (one hundred) companies are going to help us to save time and money to actually use it as an estimate for the entire companies (population). This is the estimate of a regression model to examine the factors that influence employee absenteeism. Towards the end of this report we shall see the effectiveness of this regression standard format. This standard format will work more effectively on the interpretation of the regression analysis. For now we are going to concentrate on Descriptive statistics. We firstly start with the interpretation of our scatterplots that we have generated from the observation of the factors of absenteeism. We will write a custom essay sample on The Absenteeism and Its Statistical Significance or any similar topic specifically for you Do Not WasteYour Time HIRE WRITER Only 13.90 / page For a good and clear interpretation these scatterplots we shall include them in the appendix. However, we will briefly interpret their meaning in the body of this report. Literature review on the economics of absenteeism There are a lot of factors that influence absenteeism in the workplace, could it be the treatment they get from their bosses, the wages they get paid and the general atmosphere at work. In this report based on the practical that we have done we will show some of the factors that contribute to absenteeism in the workplace. Amongst many things that could make people be absent from their works the wages and treatment in the workplace are the leading factors. When employees are paid higher they actually act in two different ways. It depends on how they are attached/love or how demanding their work is and sometimes the unions protection to employees is the other factor that contributes to the actions that employees take when paid higher. So other employees demand more working hours because an increased payment is an incentive to work harder to earn even more than they are currently. To those people who act in that manner they treat leisure as an inferior good. If leisure is an inferior good, employees consumes less of it as wages increase. The substitution and an income effect move to the same direction. As a result, if leisure is an inferior good, a wage increase unambiguously causes the hours worked to rise. This then leads to less or decreased absenteeism in the workplace. However, if leisure is a normal good, when wages rises or when unions install more of the regulations to protect employees, employees consume more leisure. The substitution and income effect work towards the opposite directions. So as wages rises, less hours are worked and more leisure is consumed and therefore the labour supply curve is backward bending. This then mean that more employees becomes absent at work. So when there is an increased volume of absenteeism in the workplace the outputs produces decreases and the economy contract. Absenteeism is also seasonal as well. During the times of Christmas on December the companies loses millions of rands through absenteeism because people are going away to holidays then when there are few workers, the outputs produced is also decreased. A study from the Confederation of British Industry (CBI) reckons that absence from work, for whatever reason, cost firms and public bodies ? 11 billion last year. So as entertaining as it is to those who do it, it is no joke to profit making companies and it cost them fortunes. The higher the absenteeism for whatever reason, the lower the output and the lower the profit. This could be even dangerous to employees as well because when the profit is contracting they might be retrenched from work. Descriptive Statistics Analysis The separate XY scatterplots, in the Appendix, show that the relationship between Y and all the Xs is consistent with economic theory although all the relationships appear to have very weak linear relationships. The average employee wage (X2) as well as the percentage of part time employees in a company (X3) shows weak negative non- linear relationship, and the percentage of unionized employees in a company (X4) shows a weak positive linear relationship. As the average employee wages (X2) increase the incentive to work harder decreases. Employees earning lower wages tend to take fewer absent days and work harder than those earning higher wages. As the percentage of part time employees (X3) increase in can be seen, in the scatterplot, that the average number of days absent per employee (Y) decreases. Part time workers have more of an incentive to work harder than full time employees, therefore it is expected that average number of days absent per employee (Y) should decrease as the percentage of part time employees increases. As the percentage of unionized employees in a company (X4) increases it can be seen, from the scatterplot, which the average number of sick days per employee increases as well. Unionized employees tend to strike more than those not in a union, therefore it is to be expected that as the percentage of unionized workers increase the average number of days absent per employee increases as well. Frequency Table The matrix does not show any possible signs of multi-colinearity meaning there is no high correlation between two independent variables. There is however a positive relationship between the percentage of part time employees and percentage of unionised workers in a company but it is very weak. Elasticity The elasticity which is in the Appendix shows the number of days absenteeism per employee is both income and cross price inelastic. Or holding other things constant, as the number of days absent increases by 1 percentage point, on the average, the part time employees’ decreases by 11 percentage points. Therefore there’s a negative relationship between the average number of days absent per employee and the part time employees in a company A positive relationship prevails between unionized employees in a company and the average number of days absent per employee. Holding all other things constant, as the number of days absent per employee increases by 1Â  percentage point, on the average, the percentage of unionized employees’ increases by 6 percentage points. 0. 05985 (X4) measures the percentage of unionized workers in the company. So what this figure means is that the percentage of absenteeism for unionized employees increases by 0. 05982. D5 If there is shift work available in a company then we can say that the average number of days absent per employee will increase by (10. 265+1. 562) = 11. 827 units but if there is no shift available in a company then the average number of days absent per employee will increase by 10.26 units only because 1. 562 would be multiplied by (0), holding all other things constant. If union management relationship is good then the average number of days absent per employee will decrease by 7. 62 units but if the union management relationship is not good then the average number of days absent per employee increases by 10. 26 units because 2. 6366 is multiplied by (0), holding all other things constant. All the coefficients are statistically significant or they are different from each other as shown it the table at the ANOVA Excel output in the appendix. The p values in summary shows this below. p = (0. 000)* (0. 000)* (0. 000)* (0. 000)* (0. 002)* (0. 000)* *p value below or statistically significant at the 5% level **p value greater than or statistically insignificant at the 5% level, not applicable in this report As indicated above that a single stared p value (*p) means that the coefficients are statistically significant and those which are double starred (**p) are statistically insignificant. To measure significance in this report we have used ? = 0. 05 or 5%. We are not interested in other percentages except that of ? None of the coefficients are statistically insignificant as can be shown with the key above and the ANOVA Excel output in the appendix. The following are the actual values of p from ANOVA Excel output uncut. p = (8. 11681E-14) (1. 43035E-07) (0. 000471097) (5. 38289E-06) (0. 002496639) (5. 9905E-07) These are very small values even the one for D5 is still less than ? = 0. 05 or 5% as ? 0. 24% At ? = 0. 05 or 5% F stat is also significant as its F = 21. 40086746 and Significant F is 3. 08395E-14 of which is a very small number 0. 00000000000003. This value is provided The R2 = 0. 5323484, that is the percentage of the total variation in the dependent variable Y explained by four explanatory variables X2, X3, X4 and dummy variables D5 and D6. The result of R2 is nowhere closer to 1 which indicates the poor fit of the fitted sample regression. Adjusted R2 = 0. 507473315 which came about 1 – (1 0. 5323484)*(99/94) this amount is lower than the original R2 as is always is. This is as a result of the added explanatory terms, but it is increasing if the absolute t value added is greater than 1 so is R2 but stay lower than R2. This is the measure of the goodness of fit that is adjusted for (i. e. takes into account explicitly) the number the number of explanatory variables both qualitative and quantitative in the model. Collectively all the variables in the model are statistically significant since the p value of the computed F value of 21. 40 is extremely low. The null hypothesis for Ho: Bi= 0 and for i= 2,3,4, for a two tailed test, we can reject the null hypothesis since the p values of all the variables are less than 5%. Each individual variable has an extremely low p value.