You Tube Llc: Going Global by Acting Local

Case 2: YouTube Case Questions 1. Do a SWOT analysis of YouTube in India.Internal| Strengths * The site is very user-friendly and video uploads are easy * Launching a localized YouTube site that contained local promoted videos, featured videos, localized user interface * Using digital hash technology for copyrighting protection | Weaknesses * User created content is not really that popular or well crafted * Copyrighted material is not allowed to be uploaded onto the site * Only including some Indian languages and not all Indian languages on the site| External| Opportunities * Expand viewer content to include a larger age range of viewers * Customizing to local preference to attract more users * Entered into various partnerships with Indian TV networks and film produces that would suit the local taste| Threats * Competition from Google’s social networking site Orkut and local Indian portals offering local content * Local music labels in India suing YouTube * Receiving criticism from fundamentalist groups regarding its contents * Facebook, Twitter, and Flickr| 2. Assess YouTube’s growth through alliances and partnerships. YouTube has grown by forging partnerships with various companies and providing entertainment that suit the local taste and preferences of the host county. 3. Assess the company’s localizing strategy.Do you recommend that YouTube â€Å"localize† when entering other countries? YouTube India provides users with relevant content and a platform to share its unique and diverse culture and lifestyle. India was the 20th country that YouTube had launched a localized site for. I recommend that YouTube â€Å"localize† when entering other countries, because India has benefited from an entirely local experience highlighting content and functionality most desired by the Indian users. 4. What are the problems YouTube is experiencing in India? Local music labels in India had sued YouTube for hosting its product. In addition, t he site received criticism from fundamentalist groups regarding its contents.

Evaluation of the business strategy of a chosen company Assignment

Evaluation of the business strategy of a chosen company - Assignment Example In the second wave we can see concepts of standardization and mass production as center of attention of economist and scientist alike. These systems were basically focused on maximizing production and minimizing inputs. These concepts of mass production have their driving force in the massive increase in population over the last few centuries. With the massive increase in population the only route to success was to increase production and minimize cost. This was basically because technology in genetics was still not advanced, that meant you could not increase production from your raw materials and land many times over. The only control humans had at that moment was on machines, therefore they engaged in a massive mechanization of humans and production systems alike. This revolution was not only aimed towards manufacturing but services as well. This affected local shops and small businesses as they began to die out because they could not compete on price with machine inputs. This revo lution was psychological as well as economic people began to look alike, dress alike and think alike. In similar words individuality was slowly becoming obsolete and absent. Over time the second wave began to end as we reached the third wave practices of second wave were slowly abolished. The human society began to revert back to old practices and customs. One of the biggest signs of this reversion was birth control. Great emphasis was now being laid on keeping population in check. The concepts of standardization and mass production once again became obsolete. Emphasis was laid on individuality and personality once again. This information wave has triggered a ‘need’ in each human being to be different from others. Therefore in the present age the concept of small business catering to specific needs is once again in demand. These small businesses in management theory are usually termed SME (Small Medium Enterprise)

Divorce Essay Example | Topics and Well Written Essays - 750 words - 1

Divorce - Essay Example As Per divorce statistics, it is estimated that between 40 percent and 50 percent of first marriages end in divorce in the U.S while in other countries, the divorce rate for first marriages exceed 50% (Grazian para 1). Statistics also indicate that marriages between couples at a tender age have a higher probability of getting a divorce as opposed to couples who get married in their late-twenties. There exist numerous reasons for seeking divorce, which are associated with the collapse in the marriage institution. One of the key reasons that contribute to failure in marriage is the lack of communication or poor communication among the couples, this depicts a situation where one feels that he/she is not appreciated, and thus resentment develops. Other reasons include martial conflicts and arguments, infidelity, age, religion, education, and income. Education and income play a vital role in divorce statistics whereby married couples with higher education and a higher income are less like ly to get divorced, as opposed to couples with lower education and lower income levels. Different religious denominations also show different divorce rates with those having no religious affiliations bearing a lower divorce rate. The society has experience degradation from the overspill of events among the ever-increasing number of divorced couples. This experience ranges from moral degradation of their children to the tainting of the marriage institution. The effects of divorce can be felt in the society's family life, in terms of income potential, crime, and drug abuse, which takes toll in their physical and emotional health. Increased divorce rates in the society raise tension and anxiety among married couples, who fear ending up like their divorced friends. In addition, strain accrued from divorce proceedings take their toll on the parties involved as well as their children. This has seen an increase in the rate of drug abuse and alcoholism in an attempt to alleviate the strain. Divorce proceeding decrease the income levels of a household, thus diminishing their potential to generate and accumulate wealth. There has been a drop in income in households undergoing divorce, which not only affects the children being raised in the household, but also the economic productivity potential of a nation, which is a negative effect to the society. With the divorce rate being at an all-time high, the society ought to be involved in the preservation of the marriage institution. The restoration of the importance of marriage to the society should involve all parties, as well as a commitment of resources to pro-marriage programs. Among the most commonly, reported reasons for divorce, alcohol and drug abuse are prime contributors to the deteriorating state of matters between couples (Amato and Previti 614 para 3). Alcohol-induced behaviors tend to dissolve social skills by creating a hostile or disapproving attitude towards everyone. Such behaviors may lead to infidelity, p oor communication and may inflict emotional trauma to one’s partner. The alcohol-induced behaviors may lead to insensitivity towards one’s partner, which alters communication skills and illustrates hostility. Poor communication skills among couples become a significant reason to seek dissolution of marriage, in which couples grow apart and initial attraction is lost. Children whose parents are divorced elicit signs of neglect, and suffer the blunt of the separation. They frequently demonstrate a diminished

Goverment & Funding In the State of North Carolina Personal Statement - 1

Goverment & Funding In the State of North Carolina - Personal Statement Example The paper will involve an analysis of supporting and contrasting views on the federal law. The supporters of the federal law believe that it will ensure affordable health care to all the citizens. Governor Bev Purdue has stated that ‘innovation’ can help in curtailing the health care costs and improve health care in North Carolina. The governor had consulted several health leaders in Raleigh in the state health directors’ conference. Governor Purdue stated â€Å"The work being done at the local level, through health departments, educators, schools, non profit organizations and the business community combined with the support of all state agencies is essential to inspire people to action†. A special drive to improve the health of all the people of North Carolina has been adopted through certain objectives stated in the â€Å"Healthy North Carolina 2020 Plan†. The primary focus of this plan would be on the use of tobacco, unsafe sex, nutritional and physical activity, environmental risks, communicable diseases, mental health, infant and mother’s health, chronic diseases and dental health to name a few. The health ranking of North Carolin a is 35th in the country. The healthy North Carolina 2020 plan emphasizes on concerted efforts of the state, locality and regions to improve health in North Carolina against certain targets. Several evidence-based strategies are being adopted as for example, biking. The public health division has to meet various goals against resource constraints, set in healthy NC 2020 (NC Department of Health and Human Services, 2011). The Patient Protection and Affordability Act were enacted to introduce health care reforms. On March 23, 2010 a comprehensive health reform was signed by the President Mr. Barrack Obama, which converted the act into a law. This act addresses the issues related to the

Immunosurveillance Essay Example | Topics and Well Written Essays - 1500 words

Immunosurveillance - Essay Example There is a third element in the research for investigating interactions between the immune system and neoplasia. This is that neoplasia deliberately develop certain defence mechanisms against the incumbent system in such a manner that they successfully evade punitive action (Chernock et al, Undated). This paper's purpose is to investigate what these evasive strategies may be and how they assist neoplasia to evade immune reaction. In the 1950s Lewis Thomas and Sir MacFarlane Burnet postulated the theory positing that effector cells of the immune system constantly patrol the body to actively identify and eradicate incipient tumour cells (Ichim, 2005). In the 1970, subsequent research found that T-cells may be implicated in this defensive mechanism (Ichim, 2005). This theory fell out of favour in the 1980s as research studies noted certain discrepancies in it but, in the 1990s, it was again revived because subsequent research studies noted that it was partially viable (Bhardwaj, 2007). It is observed that both the innate immune system - phagocytes, NK cells, NKT cells, cytokines, proteins, etc. - and the adaptive immune system - B- and T-cells, etc. - do fight neoplasia but, ultimately, it is observed for most spontaneous tumours that the overall immune system fails to entirely rid the organism of the cancerous cells. This is so as per three acknowledged phases to the immune response - 1) the elimination phase during which nascent tumourous cells are eliminated by the immune system; 2) the equilibrium phase when the tumour cells persist but are held in abeyance by the immune system; and 3) the escape phase when the tumour cells develop strategies to combat the immune system (Bhardwaj, 2007). This is the whole concept of 'immunoediting' and the last phase - the escape phase - is the one the paper is interested in because it is the one in which the neoplasia develop successful strategies in evading immune reaction. Evasive Strategies The evasive strategies adopted by neoplasia may be pre-existing or adaptive. Since such develop from healthy normal cells, some of the progenitor cells' evasive strategies pre-exist in them (Chernock et al, Undated). Pre-existing Strategies: Normal cells are incorporated by certain mechanisms that assist them in evading the body's own immune reactions. Such mechanisms may be self-tolerance, shielding from proper surveillance, antigen shedding, lymphocyte killing, secretion of immunosuppressive cytokines, lack of MHC2 expression, lack of co-stimulatory molecules and local secretion of prostaglandins and neuropeptides. These strategies are often sustained in neoplasm (Chernock et al, Undated). They ultimately, to a large extent, help the mutant cells maintain themselves with impunity in the organism's body. Adaptive Strategies: Nevertheless, such mutant cells are altered and have certain distinct proteins that differ from normal cells and these may be recognised by the immune system. To evade this eventuality such cells develop strategies that are not inherited from normal cells but are variants developed customarily by the mutant cells themselves as per requirements. Such adapted strategies may be up-regulation of the evasive tactics of healthy cells still existing in the mutants,

Individual project 5 Essay Example | Topics and Well Written Essays - 250 words

Individual project 5 - Essay Example ‘Women Matter’, a study by McKinsey & Company clearly points to the fact that an organization with 2 or more woman executives at the top level was ranked highest in operation excellence and financial performance. (Desvaux, Devillard-Hoellinger, & Baumgarten, 2007) The relevance of ethnic diversity at workplace is as important as the gender diversity. But it is still very less embraced by the corporates. Its relevance is always debated upon in the corporate world. Some of the benefits of ethnic diversity in workplace are innovation, better business expansion, productivity, motivation, profitability etc. (Bell, 2012) The diversity factor of sexual orientation is important too on a different perspective. There is no specific study that has proved that the presence of LGBT crowd in an organization will increase the organization’s productivity, nor is there a study that it will reduce the productivity. Therefore, based on moral grounds, LGBT community will be allowed t o be part of organization. Discrimination against LGBT group might result in a qualified or innovative individual from being hindered to progress. Moreover, a diversity based on sexual orientation will help an organization to develop better reputation. (Feigenbaum, 2012) A concluding statement will be drawn based on a comprehensive literature review on these three factors. Desvaux, G., Devillard-Hoellinger, S., & Baumgarten, P. (2007). Women Matter. Retrieved November 4, 2012. From: http://www.mckinsey.com/locations/paris/home/womenmatter/pdfs/Women_matter_oct2007_english.pdf Bell, M. (2012). Ethnic diversity in workplace: the business benefits. Retrieved November 4, 2012. From: http://www.hrmonline.co.nz/article/ethnic-diversity-in-the-workplace-the-business-benefits-141661.aspx Feigenbaum, E. (2012.) What Are Some Diversity Issues Found in the Workplace & in America. Retrieved November 4, 2012. From:

A glimpse of Big Data Essay Example for Free

A glimpse of Big Data Essay â€Å"Big data is not a precise term; rather its a characterization of the never ending accumulation of all kinds of data, most of it unstructured. It describes data sets that are growing exponentially and that are too large, too raw or too unstructured for analysis using relational database techniques. Whether terabytes or petabytes, the precise amount is less the issue than where the data ends up and how it is used.†Cite from EMC’s report â€Å"Big data: Big opportunity to create business value†. When explosion happened in mobile network, cloud computing and internet technology, more and more different information appeared. In the past, the numerous terabyte data could be a disaster for any company, because it means high cost of storage and high performance CPU. However, in nowadays, companies discovered many facts they haven’t thought about these data before. Companies started to use data analytics technology to find business values from these terabyte or petabyte data. It seems to be a big opportunity instead of disaster for companies now. Data is not only defined as structured data. When we talking about big data, it could be categorized into three types of data: structured data, unstructured data, and semistructured data (Please see Chart I). Especially when internet and mobile internet developed rapidly, the unstructured data and semistructured data exploded. For example, a bank could draw a conclusion by analyze unstructured data to find out why number of churn increased. Most definitions of big data all talk about the size of data. However, size, or volume, is not the only characteristic of big data. There are other two characteristics, variety and velocity. Variety means big data generates from several of sources. Data type was no longer connected to structured data. According to the EMC’s report, most of big data related to unstructured data. Velocity means the speed of data production. Data was no long structured data which was stored in the structured database. Data could come from anywhere and anytime: mobile, censors, devices, manufacturing machine etc. The stream of data generates in real time. This means company’s action should be taken with this speed. Structured data| Structured data is organized in structure. These data can be read and stored by computer. The form of structured data is structured data base that store specific data by methodology of columns and rows. | Unstructured data| Unstructured data refers to the data without identified structure. For example, video, audio, picture, text and so on. These data also called loosely structured data. | Semistructured data| Semistructured data organized in semantic entities. The data’s size and type in one group could be different. For example, XML and RSS feeds. This data try to reconcile the real world with computer based database.| Chart I. Three types of data. Big data analytics Big data analytics is not a technique. It is a terms that contains a lot of technologies (See EXHIBITION I). Based on enterprise’s different requirement, each program will use different technology to analyze data. However, with the big data’s development, some of these techniques become popular and useful. On the basis of the exhibition II, advanced analytics, visualization, real time, in-memory databases and unstructured data have strong-to-moderate commitment and strong potential growth. The traditional techniques, for example, OLAP tools and hand-coded SQL, have gradually lost their place. When a bank want to find the reason why the number of customer churn increased, or marketing department decide to push precise advertisement to their customer, they need to analyze customer behavior. These data from customer service emails, phone call records, sales interview reports, login data from mobile devices, and so on. Almost all of these data cannot be analyzed by traditional data analytic techniques. That’s why these new techniques development so rapid and fierce. How a company adopt big data analytics? According to the article Big Data, Analytics and the Path from Insights to Value† published on MIT Sloan Management Review, the author categorized the company who used big data analytics into three stages (See Exhibition II). For most companies, it is easy to establish an enterprise data warehouses (EDW’s). However, how to interpret these data and finding the business value from these data become the most crucial factor for companies. Besides, so many techniques and tools behind the term big data. For any company who decide to adopt big data analytics, the leading obstacle is lacking of understanding of how to use analytics to improve their business. From the article, the author gave 5 recommendation to any company who wanted to adopt big data analytics. 1. Think Big. Focus on the biggest and highest value opportunities. Narrow down the options. 2. Start in the Middle. Within each opportunity, start with questions, not data. Company prefer to collect data and information at first place. In fact, start with questions could help company continue to narrow down the scope and define the most valuable direction. 3. Make analytics come alive. When Problem was defined, company need to apply analytics. Choosing the propriety tools to analyze the data. 4. Add, dong detract. Use centralized analytics. Every analysis is connected. 5. Build the parts, plan the whole. Big data from everywhere. The data will become more and more big and complex. Building the data infrastructure is crucial for big data analytics. Big Data, Big Opportunity When company decide to concern big data, it means every department are involved. Big data is not IT department’s or analysts’ responsibility. In fact, big data analytics need information and help from sales, marketing, RD, IT and even external sources. Today, number of companies have entered into big data market. The following chart lists some big organizations who have adopted big data analytics. Besides, some of them provide big data services to other companies These organizations are just the tip of the iceberg. When big data converted from Blue Ocean to Red Ocean, some of these organizations have turned into services provider. This become a future trend in big data area. Big data needs expensive hardware and labor cost. Not every company can afford that. Besides, big data involved so many different computer technologies, not everyone understood all these techniques. For that matter, there will be more and more companies try to seek big data service from external environment. Using the external big data platform or tools could reduce the cost for building a totally new technique teams. What the companies need to do is finding the problem, narrow down the scope and sending the needs to services provider. When they get the analysis result, they could use the valued result to take the next action. Furthermore, these services provider will not only focus on big companies. The new fashion is to provide friendly interface and easy to use product to individual customer. What behind big data will be still mystery for people, however, the face or terminal of big data will become more and more friendly and simple. There is an example: Twithink. Twithink is a program invented by a MIT group. They provide customized twitter behavior analysis for customer. This program could draw some conclusion by analysis the unstructured information on Twitter. They collected the gender, location, time, key words, images, etc. from tweets. Then they analysis these data under certain arithmetic to draw conclusions. The last research was the Election in 2012. The latest research is Gun Control discussion which still in progress. Problem and threats. Although big data has many opportunity and advantage for enterprises, it still has some disadvantages. The first crucial problem is privacy invasion. After you searched one product on Amazon, the next time when you login to Amazon, you will find the products you may interested which was Amazon pushed to you. This is called precise advertisement. However, you even didn’t know when amazon collected your information. Another example was Google Analyst, company embedded code into their website to collect people’s internet behavior. These things happened every day and everywhere. It is hard to argue this action is right or wrong. Maybe some are good. However, if personal data is sold or published by someone, it will affect individual’s daily life. It will become a crucial problem. The Second problem is information’s validity. According to the article â€Å"With big data comes big responsibilities† points out that â€Å"big data sets are never complete†. If data is insufficient, the analysis result would be invalid or distorted. The invalid information would guide company to wrong direction and cause a big loss. Thus, big data also has two side. How to use it to create more value for company is the first consideration for all managers. Reference 1. Office 2013 Brings BI, Big Data to Windows 8 Tablets. ZDNet. N.p., n.d. Web. 25 Jan. 2013. 2. Big Recognition for IBM Big Data. Smarter Computing Blog Big Recognition for IBM Big Data Comments. N.p., n.d. Web. 25 Jan. 2013. 3. Big Data. Wikipedia. Wikimedia Foundation, 26 Jan. 2013. Web. 26 Jan. 2013. 4. Structured Data. Webopedia. N.p., n.d. Web. 26 Jan. 2013. 5. Unstructured Data. Webopedia. N.p., n.d. Web. 26 Jan. 2013. 6. Group of EMC. Big Data: Big Opportunities to Create Business Value. Rep. EMC, n.d. Web. 26 Jan. 2013. 7. Philip Russom. Big Data Analytics. N.p.: TDWI, 2011. Print. 8. Lavalle, Steve. Big Data, Analytics and the Path from Insights to Value. MIT Sloan Management Review Winter 2011: 21-31. Web. 9. Ã¥ ¤ §Ã¦â€¢ °Ã¦  ®Ã¥ · ²Ã¦Ë† Ã§ º ¢Ã¦ µ ·Ã¯ ¼Å¸Ã¯ ¼ Ã¥â€¦ ¨Ã§ Æ'Ã¥  Ã¥â€ºâ€ºÃ¤ ¸ ªÃ¥ ¤ §Ã¦â€¢ °Ã¦  ®Ã¥â€¦ ¬Ã¥  ¸Ã¥â€¦ ¨Ã©  ¢Ã§â€ºËœÃ§â€š ¹Ã¯ ¼ . N.p., n.d. Web. 26 Jan. 2013. 10. IBM InfoSphere Platform Big Data, Information Integration, Data Warehousing, Ma ster Data Management, Lifecycle Management Data Security. IBM InfoSphere Platform Big Data, Information Integration, Data Warehousing, Master Data Management, Lifecycle Management Data Security. N.p., n.d. Web. 26 Jan. 2013. 11. Amazon Web Services, Cloud Computing: Compute, Storage, Database. Amazon Web Services, Cloud Computing: Compute, Storage, Database. N.p., n.d. Web. 26 Jan. 2013. 12. Oracle Big Data Appliance. Oracle Big Data Appliance. N.p., n.d. Web. 26 Jan. 2013. 13. Google BigQuery Feedback on This Document. Google BigQuery. N.p., n.d. Web. 26 Jan. 2013. 14. EMC Greenplum Data Computing Appliance Data Warehousing, Data Analytics (FW).EMC Greenplum Data Computing Appliance Data Warehousing, Data Analytics (FW). N.p., n.d. Web. 26 Jan. 2013. 15. Teradata. Data Appliance, Data Warehouse, Business Intelligence à ¢Ã‚€Â“. N.p., n.d. Web. 26 Jan. 2013. 16. Twithinks. TwiThinks. N.p., n.d. Web. 26 Jan. 2013. 17. Eria Naone. With Big Data Comes Big Responsibilities. N.p.: MIT Technology Review, n.d. 2011.