Essay about The False Reality of the American Dream in the...

The False Reality of the American Dream in the Great Gatsby The Great Gatsby by F. Scott Fitzgerald is a novel that has a large focus on the ideas of the American Dream and social class in the 1920s. In the novel, the people of West Egg and East Egg are people of the upper who have earned money either through inheritance or working hard and have had many opportunities to make their American Dream a reality. The people of the Valley of Ashes are people of lower class who have little to no money and have to work all their lives to make ends meet. Even though both social classes strive for the same thing, The American Dream, neither of them will ever truly achieve it. Fitzgerald uses a vast contrast in the settings of East Egg, West Egg, and†¦show more content†¦Gatsby wanted more and more of Daisy and he will not rest until she tells Tom that she never loved him. Gatsby goes as far as to plan a dinner party so that Daisy can tell Tom in front of everyone and this dinner party ends up being his down bringing. At the party even Daisy goe s as far as to say â€Å"â€Å"Oh, you want too much!-I love you now – isnt that enough? I cant help whats past.-I did love him once – but I loved you too.† (Fitzgerald 261). Gatsby’s greed and obsession with wanting more and more sees to it that Gatsby will never fully achieve his dream. Fitzgerald also uses his character Tom, the husband of Daisy, to show that the American Dream cannot be achieved. Tom seems to have everything, a big house, a beautiful wife, lots of money from a successful sports career, and the freedom to spend it as he pleases. However, he too wants more, â€Å"[Tom] nodded sagely. â€Å"And whats more, I love Daisy too. Once in a while I go off on a spree and make a fool of myself, but I always come back, and in my heart I love her all the time.† (Fitzgerald 251). Tom knows that what he is doing is wrong but he makes excuses for his affair and acts as if what he did was justified. Even though he has a beautiful wife he still wants more and this drives him to having an affair with Myrtle. Fitzgerald uses these characters to show the false reality that is theShow MoreRelatedFalse Deception In The Great Gatsby1739 Words   |  7 PagesThe Great Gatsby Essay Individuals perpetuate false personas to such an extent that they are convinced into a state of false consciousness of reaching the American dream, ultimately, this facade leads them to their downfall, exposing repressed reality from idealistic lies. In The Great Gatsby, F. Scott Fitzgerald utilizes symbols to describe the hollow nature of each character’s deceitful persona, which comes to show the ultimate theme of downfall through the individual’s perception of the AmericanRead MoreThemes Of The American Dream In The Great Gatsby1503 Words   |  7 PagesThe American dream is the ideal that every human that lives in the United States of America has an equal opportunity to fulfill success and achieve happiness. The failure of the American dream is an evident theme in the novel. The author, F. Scott Fitzgerald, uses the character Jay Gatsby to symbolize the corruption that the pursuit of the American Dream holds. The American Dream highlights equality and is the quinte ssential idea that all humans are equal. However, this idea is perceived as an illusionRead MoreThe Great Gatsby By F. Scott Fitzgerald1093 Words   |  5 Pages The Great Gatsby, by F. Scott Fitzgerald, has been celebrated as one of the greatest, if not the greatest American novel. Yet this is sudden for the overall population, which has so hailed the book, is unequivocally that which is rebuffed all through it. Politically, the American dream was a foundation of guidelines and trusts for any and every American single individual. Especially, one of the convictions was an American dream free of class refinement; that every individual has the opportunityRead MoreConsequences Of The American Dream In The Great Gatsby845 Words   |  4 PagesGatsby and The American Dream: Gatsby’s Downfall In the novel The Great Gatsby, F. Scott Fitzgerald illustrates, through the downfall of Jay Gatsby, that the American Dream can be a false promise. When first introduced to Jay Gatsby, he is immediately portrayed as having a very specific goal in life-- to be with Daisy. At the start of the novel, Gatsby â€Å"stretched his arms toward the dark water in a curious way† as he was reaching towards â€Å"a single green light, minute and far away† (Fitzgerald 21)Read MoreA False Image Of Freedom : The American Dream1515 Words   |  7 PagesA False Image of Freedom: The American Dream The American Dream has been a beacon of hope for people in the US for decades now, and has inspired them to seek a lifestyle that excels their current one. However, this idealistic belief possesses a biased and dishonest nature that is undetectable to those blinded by this idea . F. Scott Fitzgerald, through his novel The Great Gatsby, lifts the veil on this American Nightmare, and shows readers it’s true nature. Rooted directly to the Declaration ofRead MoreEssay On The Green Light In The Great Gatsby991 Words   |  4 Pagesâ€Å"Gatsby believed in the green light, the orgastic future that year by year recedes before us. It eluded us then, but that’s no matter- to morrow we will run faster, stretch out our arms farther†¦ And one fine morning---† In the Great Gatsby, the green light signifies Jay Gatsby’s hopes and dreams for the future and ultimately the American Dream. The green light represents the lost dreams of Americans, unrealistic hope and the determination to achieve the American Dream. The writing from F. Scott FitzgeraldRead MoreThe Great Gatsby By F. Scott Fitzgerald1234 Words   |  5 Pagesaccomplish their dreams. Yet Fitzgerald suggests through Gatsby’s tragic demise that the American Dream is an unattainable illusion. This fantasy arises from the endless possibilities in America and pushes people to devote their lives to futile attempts of fitting into an idealistic upper class they do not belong to. The countless opportunities in America initiates Gatsby’s naà ¯ve dream of becoming a member of the fantasized elites and push him to follow his unreachable dream relentlessly. Great changes inRead More6. The Value/Danger Of Wealth. These Few Words By John1254 Words   |  6 Pageshostile comrade, a domestic enemy.† after reading The Great Gatsby. During Twenties, the nation’s wealth doubled. Was wealth the greatest â€Å"happiness† to pursue? The impact of wealth can display one’s true identity. In The Great Gatsby, wealth directly reflected the success of a person, but the pursuit of opulence twisted foundation of the American dream by resulting in greediness. Money enticed people into accomplishing a directive due to its great worth, which could potentially result in good consequencesRead More The Great Gatsby As A Tragedy Essay902 Words   |  4 PagesThe Great Gatsby As A Tragedy A hurried read of F. Scott Fitzgeralds The Great Gatsby can generate a tragic impression. The deaths of three of the main characters and the failure of Gatsby and Daisys romance can be viewed as tragic. However, a deeper analysis of the book reveals a much deeper tragedy. The relentless struggles of Gatsby himself parallel Fitzgeralds apparent ideas of the struggles of all Americans. The American dream romanticized by the majority of the population is reallyRead More Willy Loman, Jay Gatsby, and the Pursuit of the American Dream798 Words   |  4 PagesWilly Loman, Jay Gatsby, and the Pursuit of the American Dream Scott Fitzgerald, author of The Great Gatsby, and Arthur Miller, author of Death of a Salesman, both tell the stories of men in the costly pursuit of the American dream. As a result of several conflicts, both external and internal, both characters experience an extinction of the one thing that they have set their sights on.... The American Dream. Jay Gatsby, a mysterious, young and very wealthy

Business Plan of Asian House Restaurant - 11688 Words

KYMENLAAKSON AMMATTIKORKEAKOULU University of Applied Sciences International Business/International Marketing Hongmei Zeng Business Plan of Asian House Restaurant Bachelor’s Thesis 2011 ABSTRACT KYMENLAAKSON AMMATTIKORKEAKOULU University of Applied Sciences International Business Hongmei Zeng Bachelor’s Thesis Supervisor January 2011 Key words Business Plan of Asian House Restaurant 45 pages + 3 pages of appendices Ulla Puustelli, Senior Lecturer business plan, restaurant, Asian House, marketing The purpose of the thesis was to make a practical plan for setting up an Asian restaurant â€Å"Asian House† in Oulu. The business plan clarified what kind of food will be provided and what customers could be targeted in the†¦show more content†¦35 2.5.3. Promotion ................................................................................................. 36 2.6. Suppliers information ......................................................................................... 38 2.7. Financial documents .......................................................................................... 38 2.7.1. Sales budget ............................................................................................. 39 2.7.2. Stock purchase budget .......................................................................... 39 2.7.3. Budgeted Profit Loss ............................................................................. 40 2.7.4. Budgeted Cash Flow Statement ............................................................... 41 2.7.5. Budgeted Balance Sheet for Year 1-3 ....................................................... 42 2.7.6. Break-Even point analysis ........................................................................ 42 2.8. Risk analysis .......................................................................................... ............ 43 3. CONCLUSION ............................................................................................................ 43 REFERENCES .................................................................................................................. 45 APPENDICES Appendix 1: Questions to Interview Mr. Gan, D’ Wok restaurant owner Appendix 2:Show MoreRelatedBlack Canyon Coffee1480 Words   |  6 Pagescompetitors and believe that by focusing on their core competency BCC can outperform their competitors. Problem Analysis As the articles states, BCC founders had no prior experience in restaurant business and were not even coffee drinkers. Coming from an IT background, founders of BCC wanted to start a business of their own. BCC follows an industrial organization (I/O) model because the company was formed by strategically analyzing external environment and factors. 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This small factory is founded in 13 years ago and the main founders are Mr. Huang who is also the chef of the restaurant and Fiona who is wife and the manager of this small restaurant. This small restaurant sells high quality sushi rolls, hand-making sushi, Sashimi, Japanese hot Bento and Japanese Ramen. The secret for this small restaurant is that it hasRead MoreMarketing Plan For Top Take Away Restaurant1716 Words   |  7 Pagesinitiated for my business has named as TOP Take Away Restaurant. The restaurant located in Chadstone Shopping Centre. It is the very strategic and overwhelming location the Chadstone Shopping Centre has been newly renovated with wide range of facilities. Also, it is the biggest shopping hub in Southern Hemisphere. Therefore, I have chosen this location to operate my restaurant. As of now, I have hired one manager, 3 front staff, 3 kitchen staff as my tota l labor force. 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Counterproductive Effects in Rewards and Motivation Free Essays

When employing, retention and parting signify intricate, long term and multi- layered dealings rather than a Counterproductive Effects in Rewards and Motivation simple market deal, employees and employers will be principally careful to avoid entering the relationship with an inappropriate partner but, in speedily moving economic and industrial environments it is rational that a firm’s employment needs will be changing too. In this situation, a guarantee of long-term employment would be extremely expensive if the firm is not able to reallocate workers to new tasks as the requirements rose. So, Counterproductive Effects in Rewards and Motivation for employees, surviving and been considered by the firm as a valued component in these conditions becomes a personal challenge, especially if these employees’ performance is compared with others’ using subjective evaluation systems based not only in performance and results, but also in perceptions and Image. We will write a custom essay sample on Counterproductive Effects in Rewards and Motivation or any similar topic only for you Order Now Human Wealth refers to the knowledge and acquired skills; a person has to upsurge his or her ability to conduct activities with economic value. Human Wealth is most often acquired by knowledge on through teaching by others who already have the necessary skills. It is the factor that differentiates raw labor power from skilled expertise at some task or job and as a crucial determinant of productivity. Today’s companies’ true strength resides in their Human Capital so, an impulse to improve the human development into the organizations becomes crucial to guarantee its survival in this highly competitive world. It is necessary that top middle management perform a deep auto critic of their attitudes in order to look, find and sustain that motivation that worries us. It is useful to distinguish between firm-specific and general-purpose (or non-specific) Human Capital. Skills and knowledge that increases the person’s productivity when working for any of several different employers represents general-purpose Human Capital, and normally, a firm is unlikely to help pay this kind of tuition. On the other hand, firm-specific Human Capital, like knowledge of the firm’s specific accounting system, machines or procedures. It might seem worthwhile for an employer to invest in worker’s firm-specific Human Capital. How to cite Counterproductive Effects in Rewards and Motivation, Papers

Business Intelligence and Data Warehousing

Question: Discuss about the Business Intelligence and Data Warehousing. Answer: Introduction There is a huge chunk of data that is loaded on the Internet on a per day basis. Big Data is a term that handles such large volumes of data. It refers to the massive volume of data which includes both the structured as well as the unstructured data. Organizations are now adapting Big Data as a technology in order to manage the huge volumes of data which is otherwise not possible with the traditional software and techniques (Venturebeat.com, 2016). Business Intelligence on the other hand is the set of tools and guidelines which converts a set of data in to meaningful information for the purpose of business and data analytics (Google+., 2016). BI in Multi-Channel Marketing Multi-channel marketing creates a seamless experience across different types of media like company websites, social media, and physical stores. Customer keep switching from one device to the other and the prediction of customer behavior in such a case is rather difficult. For example, a user may access the same web site in a single hour on a mobile device, laptop and on a tablet. This is where the application of Big Data approach falls in to picture (Qubole, 2016). Big Data Strategy Step 1: Gain executive-level sponsorship The projects around Multi-channel Marketing must be proposed and rightly fleshed out. Without a dedicated team or a proper sponsorship, there are high chances that the project may not do well. Step 2: Augment rather than re-build It is always better to begin with the existing data rather than creating and exploring new data sets. The look-out for additional data sources is the next step in the process. Approvals would also be required in terms of the tools and techniques that would be applied. Step 3: Make value to the customer a priority It is important to gather and understand the requirements and the specifications of the customer. These need to be considered after the collection and prioritization of the data. Implementing strategies that do not suffice the needs of the customer would not be fruitful for the user as well as for the organization. Step 4: Run an Agile shop and increment over time Incremental releases and setting up of new data hubs is done once the project team and priorities are in place. It will aid in adjusting of the operations and would also help in understanding the ability of data to influence actions in the processes followed by the organizations. It is commonly seen that many of the projects do not pass because they attempt at covering everything in one go. It is suggested to take a slow start and then develop accordingly and adaptively. Step 5: Link customer data to company process Data driven decisions should then be implemented at the organizational level covering each and every single aspect that is involved. Step 6: Create repeatable process and action paths It is important to create a path and a planned set of actions which are necessary in the process. There are a few processes that repeat at a frequent interval and must be identified in the beginning itself. Also, a path to attain the same is also a significant step to take in the entire procedure. Step 7: Test, measure, and learn It is necessary to test the assumptions with each data set rather than suffering from the surprises at a later stage in the cycle. Step 8: Map data to the customers life cycle It is of utmost importance to map the progress with the requirements as listed down by the customer. It will help to track the faults and lags, if any and would also help in validation and verification of the progress made. Alignment of Business Objectives as per the Business Strategy The suggested business strategy would be applied to the following components to align the business initiatives and objectives in accordance to the same. Data Mining It is the process of analyzing and categorizing the data in a number of different categories. The data is studies from various angles and a correlation is formed. It is used in a number of financial, marketing, retailing and other industries to determine the relationship between internal factors such as price, cost, inputs and the external factors such as profits, losses, customer satisfactions and feedback. Online Analytical Processing (OLAP) Strategic monitoring is done by the Business Intelligence executives in order to sort and select aggregates of the data. The adjustments are done on the data which results in benefits to the entire business process and the organization as a whole (Villanova University, 2016) Real time BI It is done to make use of software applications in order to respond to the real-time events such as social networking trends or the trends in digital display. Special offers can be announced by the marketing team to take advantage of the choice and demands of the customers which in turn benefits the organizations in the long run. Data Warehousing It is the process that looks through structured and unstructured data and identified interrelated components in the same. It is an exceptionally significant procedure which has the ability to help the business. For instance, the process of data warehousing would help to track the time taken to complete one activity in various scenarios. The results would help to identify the best possible solution. Business Performance Management It is the application of tools and techniques to assess the performance of an organization with the help of analytics and performance management tools. It combines the data from various sources, applied queries to the same, analyses the results and draws conclusions. It also helps in the monitoring and measurement of the efficiencies (Olap.com, 2016). Data Analytics It is also a process with an aim to draw meaningful information from a set of data. It is different from data mining in terms of the scope and purpose. It can be done in two ways as exploratory and confirmatory data analytics (SearchDataManagement, 2016) It will result in attaining the business objectives with the following added advantages. Business Intelligence is based upon analysis and classification of data and creation of scenarios revolving around the same. Data mining, data analytics, predictive analysis and applied statistics are used for this purpose. The base of the process is created on a large or huge set of data that needs to be correctly managed and looked in to. The data over here is not a single file or a folder but huge chunks which are not easy to manage. This is where the role of Big Data comes in to the picture. The basic aim of business intelligence is to optimize the processes that are involved in handling the information and achieve best possible results with improved customer satisfaction. This is brought in to application with the aid of Big Data. Big Data helps in figuring out the target customers and users. Predictive models are created and the inferences are made. Companies gather the data sets from the social media accounts, browser logs and other sources to gain an insight in to the general trends, practices and demands (Ap-institute.com, 2016). Optimization of business processes is another expertise of Big Data. Analysis of performance of the employees, creation of reporting, online analytics and processing are done with the help of this amazing technology. Other advantages of Big Data include: Competitive Advantage Big Data allows its users to access the data easily which was difficult or next t impossible to access earlier. With the aid of such a capability to access the data from a number of different sources such as social media accounts, search engines, media streams and several more, companies can predict the demand for a particular product and can also implement and design clear marketing strategies. With these advantages, businesses are able to gain an edge on their competitors and act more quickly and decisively when compared to what rival organizations do. Needless to say, a business that effectively utilizes big data analytics tools will be much better prepared for the future than one that doesnt understand how important those tools are (Qubole, 2016). New Business Opportunities New business opportunities can easily be approached and deduced with the help of Big Data. Advertising and marketing are the two sectors that have largely benefitted with the help of these processes. Add-on services, new services and real-time services are provided to the customers on the basis of the analysis done through Big Data and the business expands with the help of the same. In addition to those benefits, big data analytics can pinpoint new or potential audiences that have yet to be tapped by the enterprise. Finding whole new customer segments can lead to tremendous new value. Business Analytics Methods and Technologies The following techniques have been suggested for implementation of Big Data and its strategy in the structure of Multi-Channel Marketing. Hadoop It is an open source tool that is written in JAVA language and has the ability to handle the Big Data analytics in an excellent manner. It comes with the features of flexibility, scalability and supreme performance for handling huge chunks of data. These tools can run on different operating systems as well. Easy visualization, creative reporting and simpler indexing are the features that come handy with this tool (ITProPortal, 2013). Hyperscale Storage Architecture It is the storage architecture that is based upon Direct-Attached Storage (DAS) and can be accessed across varied environments. This is the technology which allows the ease of storage and management of different sets of data which may be properly structured, semi-structured and completely unstructured (computerweekly.com, 2016). NoSQL NoSQL is the database that performs the Big Data Analytics with extreme ease. It provides rich visualization for creation of reports and documents that support the analytics results. It allows the flexible mode of exploration that is on the basis of various parameters such as time, geographical locations, revenues, quantities and many more. Predictive analysis with powerful and advanced algorithms such as classification, regression and exploration is also possible with the help of NoSQL (Pentaho, 2016). NoSQL data is the fabric that connects the more than 200,000 APIs (a number that continues to rise) in the world, each of which speaks the language of JSON or XML (Goes, J. 2016). It is an advanced database that promises consistency along with the scalability and supreme performance in the document and data storage and indexing (Big Data Made Simple - One source. Many perspectives., 2014). Data Analytics and MDM to support DS and BI Master Data Management (MDM) is a growing area of interest in the business world. MDM is categories in two different types as described below: Operational MDM (O-MDM) is focused on the distribution, synchronization or exchange of master data to ensure consistency in transactional operations. Analytic MDM (A-MDM) is concerned with the management of the master data items and associated hierarchies required for aggregation and analysis. MDM and Data Analytics play an important role in DS and BS as they have the ability to: Easily synchronize all of the basic master data Reconcile the data with perfection in a quick turnaround time Maintain the consistency in transactional data Achieve improved business performance management (InformationWeek, 2016). Big Data considerations Social, Legal, Global and Ethical The two direction of the value creation are broken into three different levels viz. Market level Brand level Customer level (www2.hull.ac.uk, 2016). The model for the value creation process is rightfully explained with the help of the following two models Five Force Analysis Value Chain Analysis This analysis is based upon the activities which are categorized in primary and support activities. These are used to develop competitive strategy to establish a distinguished name in the market. Conclusions Big Data is a technology that is highly applicable in the field of Decision Support and Business Intelligence. Multi-Channel Marketing is the use case that was selecting for developing a Big data business strategy around the same. It offers a lot many advantages in the terms of cost-savings, analytics procedures and several others. NoSQL database can be used to support the Big Data activities and there are numeroud document storage and other databases that come under NoSQL. Master Data management (MDM) is also used to synchronize and recncile the Big Data and aids in the analytics and BI procedures. Big Data Value creation model is based upon two broad classifications as Five Force Analysis and Value Chain Analysis. References A deep dive into NoSQL: A complete list of NoSQL databases. (2014). Big Data Made Simple - One source. Many perspectives.. Retrieved 21 May 2016, from https://bigdata-madesimple.com/a-deep-dive-into-nosql-a-complete-list-of-nosql-databases/ Big Data Analytics Tools Overview Benefits | Qubole. (2016). Qubole. Retrieved 21 May 2016, from https://www.qubole.com/resources/articles/big-data-analytics/?nabe=5695374637924352:0utm_referrer=https%3A%2F%2Fwww.google.co.in%2F Big Data Use Cases | Qubole. (2016). Qubole. Retrieved 21 May 2016, from https://www.qubole.com/resources/solution/best-use-cases-for-big-data-analytics/?nabe=5695374637924352:0utm_referrer=https%3A%2F%2Fwww.google.co.in%2F Big data: 5 major advantages of Hadoop | ITProPortal.com. (2013). ITProPortal. Retrieved 21 May 2016, from https://www.itproportal.com/2013/12/20/big-data-5-major-advantages-of-hadoop/ Business Intelligence (BI) Overview of Major Components. (2016). Villanova University. Retrieved 21 May 2016, from https://www.villanovau.com/resources/bi/overview-of-business-intelligence-bi-components/#.VzordTB97IU computerweekly.com,. (2016). Retrieved 21 May 2016, from https://://www.computerweekly.com/feature/Big-data-storage-choices Data Mining: What is Data Mining?. (2016). Anderson.ucla.edu. Retrieved 21 May 2016, from https://www.anderson.ucla.edu/faculty/jason.frand/teacher/technologies/palace/datamining.htm Goes, J. (2016). How to choose a NoSQL analytics system. InfoWorld. Retrieved 21 May 2016, from https://www.infoworld.com/article/2983953/nosql/how-to-choose-a-nosql-analytics-system.html Google+., T. (2016). Business Intelligence | Information Builders. Informationbuilders.com. Retrieved 21 May 2016, from https://www.informationbuilders.com/business-intelligence How is Big Data Used in Practice? 10 Use Cases Everyone Must Read. (2016). Ap-institute.com. Retrieved 21 May 2016, from https://www.ap-institute.com/big-data-articles/how-is-big-data-used-in-practice-10-use-cases-everyone-should-read.aspx hull.ac.uk,. (2016). Retrieved 21 May 2016, from https://www2.hull.ac.uk/hubs/pdf/NEMODE%20big%20data%20scientist%20report%20final.pdf Jon Bakke, M. (2014). 5 big data implementation mistakes to avoid. VentureBeat. Retrieved 21 May 2016, from https://venturebeat.com/2014/11/25/5-big-data-implementation-mistakes-to-avoid/ MDM for Operations and Analytics - InformationWeek. (2016). InformationWeek. Retrieved 21 May 2016, from https://www.informationweek.com/software/information-management/mdm-for-operations-and-analytics/d/d-id/1042903? Pentaho and NoSQL Databases. (2016). Pentaho. Retrieved 21 May 2016, from https://www.pentaho.com/big-data-analytics/nosql-databases What is Business Performance Management? BPM Definition. (2016). Olap.com. Retrieved 21 May 2016, from https://olap.com/learn-bi-olap/olap-bi-definitions/business-performance-management/ What is data analytics (DA)? - Definition from WhatIs.com. (2016). SearchDataManagement. Retrieved 21 May 2016, from https://searchdatamanagement.techtarget.com/definition/data-analytics