Unethical Behavior and Hiring Ethical People Essay

Unethical Behavior and Hiring Ethical People - Essay Example A survey conducted in 2009 established that roughly over 3000 personnel are in habit of practicing unethical routines within the organization. The bitter episode of Lehman brothers was an example of unethical practices. Other surveys showed that considerable percentage of their co workers were negligent about ethical considerations and their violations. Another survey conducted in 2009 showed that the rates of unethical habits were at a staggering high rate despite the penalties being awarded in recent pasts. The unethical means so adopted were observed in the various forms, few of which are as following: Various other elements count for ethical decays. Racial discrimination is another serious ethical misconduct that might exist in individuals. In other words, there are some factors that we have stress on within aforementioned context: The scope of unethical behavior by individuals is not limited to certain organizations, many a times, through surveys, it has been established that even the big wigs in the industry have short comings pertaining to the ethical norms being ignored by the personnel in the incumbent organizations. An interesting feature highlighted and identified through surveys regarding unethical practices revealed that managers and other top officials were equal participants of the felonies committed under the umbrella of ethical violations. This comes in form of untrue work experiences, and other skills being possessed by the managers. Other infringements highlighted included minor things as use of office stationery, phone calls from office places for personal reasons to family members and other similar minor offences. In a surprising sequence of events, in army which has strict code of ethics for its soldiers, the soldiers were comprehended on account of unethical practices when they violated the rules by means of an online application program. The impact of unethical practices is not just limited to personal performances; rather it

Design in 21 Research Paper Example | Topics and Well Written Essays - 1000 words

Design in 21 - Research Paper Example Steve Jobs also grew up in a period where there was freedom of expression, in America, and when the culture was very tolerant and open. In college, the favorite subject of Steve Jobs was typography. He was able to make a connection on how fonts were able to influence the contents of a design and their audience. Steve Jobs spent most of his years studying the philosophies of eastern nations, and their holistic values (Shea, 11). These values are all manifested into the product philosophy of Apples, through its production of a seamless, sleek, simple and integrated design. The first product made by Apple that was able to change the field of design is the invention and the design of the Macintosh computer system which had a Graphic User Interface (GUI). This computer system was introduced in 1983, and it was meant for designers (lumenthal, 23). This system came with an input device and a mouse which would make it possible for an individual to allow computer drawings, and accurate cursor control. This system also came with a MacPaint, MacWrite and other fonts which allowed designers to lay out pages that they could print. On this basis, this design by Apples ushered in a new period of Desktop Publishing. This completely changed the field of design, by ushering in, the era of digital design (Shea, 33). On this basis, the computer systems that were using Apple’s GUI became a standard system for all computers that were being manufactured worldwide. The demands of GUI enabled computers were very high, and they revolutionalized the design world whereby the digital artist had a new media platform that could help him or her to create and design products (lumenthal, 22). Following the successes of these Macintosh computers, Steve Jobs and Apples separated for a period of ten years. Steve Jobs pursued his business interests by developing computer software’s that were able to be used in the fields of animations. However, after ten years, Steve Jobs was able to

Our Greatest American President Essay Example for Free

Our Greatest American President Essay Franklin Delano Roosevelt became our thirty-second President in one of the most critical times in the history of the United States since the Civil War. Born to wealth, FDR held a sense of social importance at an early age. This attribute would soon become an important part of his political career. He was also faced with the despair of a devastating disease. Roosevelt was forced to view himself in a different perspective, however he took his illness and turned it into a way of helping others that were stricken with the same misfortune. This showed tremendous integrity in Roosevelt not only as a man but as a great President. During his tenure as Vice President, Roosevelt contracted the disease poliomyelitis and became completely paralyzed. This was one of the greatest obstacles that he had to face in his life, but he quickly overcame this hurdle and worked diligently to establish a foundation known as the March of Dimes to help other polio victims. Eventually, an effective vaccination was introduced. Roosevelt had married a distant cousin, Anna Eleanor Roosevelt, who was able to provide much support in both his personal and political lives. The United States at the time was going through a critical period and the American family was important to everyone. Having a supportive first lady Roosevelt quickly gained the admiration of many Americans. The Great Depression had been present for almost three years and FDR had his work cut out for him. He had used the Great Depression as the back drop of his Presidential campaign and when he took office, he quickly set out to reform the economy and â€Å"undertook immediate actions to initiate his New Deal. †(fdrlibrary. marist. edu) There were some critics, but the majority of Americans welcomed Roosevelt’s policies. He set up a special session of congress that lasted 100 days and was geared towards the passage of legislation that created the Agriculture Adjustment Administration, to support farm prices, and the Civilian Conversation Corps, to employ young men. The country was faced with an unemployment rate of 30%, but FDR’s efforts proved his compassion for the American people and his empathy despite the fact of his privileged birth. Roosevelt had gained extreme popularity with the American people and easily attained the Presidency for a second term. Roosevelt was faced with offense from the Supreme Court stating that some of his New Deal policies went against the principles of the United States Constitution. Roosevelt attempted to add new justices to the Supreme Court that would be more tolerant of his policies. â€Å"However, many even in his own party opposed him in this attempt to pack the court, and the Congress defeated it. †(notablebiographies. com/Ro-Sc/Roosevelt-Franklin-D. html) This developed a bitter rapport between FDR and Congress. But, despite this scarred relationship, FDR ran for a third term. â€Å"The presidential campaign of 1940 was the climax of Roosevelt’s plea that Americans set themselves against the Nazi threat. †(notablebiographies. com/Ro-Sc/Roosevelt-Franklin-D. html) Roosevelt was certain that Adolf Hitler was a dangerous man who intended to conquer all of Europe. Americans remembered their disappointment after World War I, and there were many of them who leaned toward supporting the Germans rather than the group of countries known as the Allies. The Allied force consisted of: Great Britain, France, and the Soviet Union. Roosevelt had to promise the American people that young Americans would not be sent overseas in battle. Roosevelt won the third election but very narrowly. Not long into the third presidential term the United States was attacked. â€Å"On December 7, 1941, the Japanese attacked the Pearl Harbor naval base in Hawaii, causing serious losses to American forces. †(notablebiographies. com/Ro-Sc/Roosevelt-Franklin-D. html) Four days later Germany and Italy declared war against the United States. Although Roosevelt had set out to engage the United States in the war, he now had no choice. The mood of the American people also quickly changed. Congress immediately â€Å"enacted a draft for military service and the â€Å"lend-lease† bill in March 1941 to enable the nation to furnish aid to nations at war with Germany and Italy. †(fdrlibrary. marist. edu) The factories in the United States began producing as they had before the Great Depression. Roosevelt worked diligently with his military advisors exercising his powers as Commander-in-Chief. On January 1, 1942, the â€Å"Grand Alliance† was created through a declaration of the United Nations. â€Å"The United States and its allies invaded North Africa in November 1942 and Sicily and Italy in 1943. The D-Day landings on the Normandy beaches in France, June 6, 1944, were followed by the allied invasion of Germany six months later. †(americanhistory. about. com/od/franklinroosevelt/p/pfdroosevelt. htm) In his third term as president, the Great Depression would come to an end, but FDR wanted to ensure that this devastation would not happen again. In 1934, he proposed a national social security system that, he hoped, would prevent another such depression. Citizens would never be without at least minimum incomes again, because the social security system (still used today) used money paid by employees and employers to provide support to those who were unemployed, retired, and disabled. † (notablebiographies. com/Ro-Sc/Roosevelt-Franklin-D. html) Although Roosevelt had not actually fought in the war, he fought tremendously for it. By early 1944 Roosevelt had literally worn himself out. He won a fourth re-election easily, but because of his failing health, while vacationing in Warm Springs, Georgia, on April 12, 1945, he suffered a massive stroke and died. The United States, during Franklin Delano Roosevelt’s presidency, faced many similar situations that our county is once again facing. Because of FDR’s compassion, strength, character, and perseverance, we were able to overcome those obstacles and become a stronger nation. I can only hope that our current leadership will use the past as a guide to steer their actions and, once again, lead our country to more prosperous times. Work Cited www. fdrlibrary. marist. edu www. americanhistory. about. com/od/franklinroosevelt/p/pfdroosevelt. htm www. notablebiographies. com/Ro-Sc/Roosevelt-Franklin-D. html http://www. whitehouse. gov/about/presidents/franklindroosevelt/ http://www. fdr. net/

Data Mining Analysis in the Telecommunications Industry

Data Mining Analysis in the Telecommunications Industry Abstract The broadcast communications industry was one of the first to receive information mining innovation. This is in all probability since media transmission organizations routinely produce whats more, store tremendous measures of amazing information, have a vast client base, and work in a quickly changing and exceptionally focused environment. Media transmission organizations use information mining to enhance their showcasing endeavors, distinguish extortion, and better deal with their media transmission systems. These frameworks were produced to address the intricacy related with keeping up a gigantic system foundation and the need to amplify organizes unwavering quality while limiting work costs. The issue with these master frameworks is that they are costly to create on the grounds that it is both troublesome and tedious to evoke the essential space information from specialists. Information mining can be seen as methods of consequently producing some of this information straightforwar dly from the information. Keywords: Data Mining, telecommunication, fraud detection The telecommunication industry was one of the first to get data mining development. This is more likely than not since media transmission associations routinely create besides, enormous measures of astounding data, have an inconceivable customer base, and work in a rapidly changing and extraordinarily engaged environment. Media transmission associations utilize data mining to improve their displaying attempts, recognize blackmail, and better manage their media transmission frameworks. Regardless, these associations moreover go up against different data mining challenges in light of the monster size of their enlightening accumulations, the progressive and brief parts of their data, and the need to anticipate to a great degree extraordinary event, for instance, customer coercion and framework frustrations-logically. The universality of data mining in the communicate correspondences industry can be viewed as an enlargement of the use of ace systems in the communicate correspondences ind ustry. These systems were created to address the multifaceted nature related with keeping up a tremendous framework establishment and the needs to increase compose resolute quality while constraining work costs. The issue with these ace systems is that they are expensive to make in light of the fact that it is both troublesome and monotonous to bring out the fundamental space data from masters. Data mining can be viewed as strategies of thusly creating some of this data clearly from the data. The data mining applications for any industry depend on two elements: the information that are accessible and the business issues confronting the business. This area gives foundation data about the information kept up by broadcast communications organizations. The difficulties related with mining media transmission information are moreover portrayed in this area. Media transmission organizations keep up information about the telephone calls that navigate their systems as call detail records, which contain illustrative data for each telephone call. In 2001, ATT long separation clients produced more than 300 million call detail records every day (Cortes and Pregibon, 2001) and, in light of the fact that call detail records are kept online for a while, this implied that billions of call detail records were promptly accessible for information mining. Call detail information is valuable for promoting and extortion recognition applications. Media transmission associations furthermore keep up expansive customer information, for instance, charging information, whats more, moreover information got from outside social affairs, for instance, FICO rating information. This information can be extremely useful and every now and again is solidified with media transmission specific data to upgrade the results of data mining. For example, while call detail data can be used to perceive suspicious calling outlines, a customers FICO evaluation is every now and again solidified into the examination before choosing the likelihood that deception is truly happening. Media interchanges associations moreover create and store an expansive measure of data related to the operation of their frameworks. This is in light of the fact that the framework segments in these broad media transmission frameworks have some self-symptomatic limits that permit them to make both status and ready messages. These surges of messages can be mined remembering the ultimate objective to reinforce sort out organization limits, particularly accuse control besides. Another issue emerges on the grounds that a great part of the media communications information is created continuously and numerous media transmission applications, for example, misrepresentation distinguishing proof whats more, system blame recognition, need to work in constant. As a result of its endeavors to address this issue, the broadcast communications industry has been a pioneer in the examination zone of mining information streams (Aggarwal, 2007). One approach to deal with information streams is to keep up a mark of the information, which is a rundown portrayal of the information that can be upgraded rapidly and incrementally. Cortes and Pregibon (2001) created signature-based techniques and connected them to information surges of call detail records. A last issue with media transmission information whats more, the related applications includes irregularity. For case, both media transmission misrepresentation and system gear disappointments are moderately uncommon. Various information mining applications have been sent in the media communications industry. In any case, most applications can be categorized as one of the accompanying three classes: showcasing, misrepresentation identification, and system blame detachment and forecast. Telecommunications Marketing: Media transmission associations keep up a monstrous measure of information about their customers and, due to a to an incredible degree forceful environment, have remarkable motivation for abusing this information. For these reasons the media correspondences industry has been a pioneer in the use of data mining to perceive customers, hold customers, and extend the advantage got from each customer. Perhaps the most praised usage of data mining to get new media interchanges customers was MCIs Friends and Family program. This program, since quite a while prior surrendered, began in the wake of exhibiting pros perceived various little yet all around related sub graphs in the graphs of calling activity. By offering diminished rates to customers in ones calling circle, this promoting system enabled the association to use their own specific customers as sales representatives. This work can be seen as an early use of casual group examination and association mining. A later case uses the parti cipations between customers to perceive those customers obligated to grasp new media transmission organizations (Hill, Official and Volinsky, 2006). A more standard approach incorporates making customer profiles (i.e., marks) from call detail records and a short time later mining these profiles for exhibiting purposes. This approach has been used to perceive whether a phone line is being used for voice then again fax and to aggregate a phone line as having a place with an either business or private customer. Over the span of late years, the highlight of exhibiting applications in the communicate correspondences industry has moved from recognizing new customers to measuring customer regard and after that figuring out how to hold the most gainful customers. This move has occurred in light of the way that it is fundamentally more exorbitant to secure new media transmission customers than hold existing ones. Along these lines it is useful to know the total lifetime estimation of a custo mer, which is the total net pay an association can expect from that customer after some time. An arrangement of data mining techniques is being used to model customer lifetime regard for media transmission customers. Telecommunications Fraud Detection: Misrepresentation is intense issue for media transmission organizations, bringing about billions of dollars of lost income every year. Misrepresentation can be partitioned into two classes: membership misrepresentation and superimposition misrepresentation. Membership misrepresentation happens when a client opens a record with the goal of never paying the record and superimposition misrepresentation happens when a culprit increases unlawful access to the record of a true blue client. In this last case, the deceitful conduct will frequently happen in parallel with true blue client conduct (i.e., is superimposed on it). Superimposition extortion has been an a great deal more noteworthy issue for media transmission organizations than membership extortion. In a perfect world, both membership extortion and superimposition misrepresentation ought to be recognized instantly and the related client account deactivated or suspended. In any case, since it is regularly hard to recognize real and unlawful use with restricted information, it is not generally attainable to identify extortion when it starts. This issue is aggravated by the way that there are considerable expenses related with researching extortion, and expenses if use is erroneously named false (e.g., an irritated client). The most well-known system for distinguishing superimposition misrepresentation is to think about the clients present calling conduct with a profile of his past use, utilizing deviation identification and peculiarity location systems. The profile must have the capacity to be immediately upgraded in light of the fact that of the volume of call detail records and the need to distinguish misrepresentation in an opportune way. Cortes and Pregibon (2001) produced a mark from an information stream of call-detail records to succinctly portray the calling conduct of clients and afterward they utilized oddity recognition to measure the oddity of another call in respect to a specific record. Because new conduct does not really suggest misrepresentation, this fundamental approach was enlarged by contrasting the new calling conduct to profiles of non-specific misrepresentation-and extortion is as it were flagged if the conduct matches one of these profiles. Client level information can likewise help in distinguishing misrepresentation. For instance, value plan and FICO assessment data can be consolidated into the extortion examination. Later work utilizing marks has utilized element bunching and deviation recognition to distinguish extortion (Alves et al., 2006). In this work, every mark was put inside a bunch and an adjustment in group enrollment was seen as a potential marker of misrepresentation. There are a few strategies for recognizing misrepresentation that try not to include looking at new conduct against a profile of old conduct. Culprits of misrepresentation infrequently work alone. For instance, culprits of misrepresentation frequently go about as dealers and offer illegal administrations to others-and the illicit purchasers will regularly utilize distinctive records to call a similar telephone number over and over. Cortes and Pregibon (2001) abused this conduct by perceiving that specific telephone numbers are over and over called from traded off records and th at calls to these numbers are a solid marker that the present record may be traded off. A last strategy for recognizing misrepresentation misuses human example acknowledgment abilities. Cox, Eick and Wills (1997) manufactured a suite of apparatuses for envisioning information that was customized to show calling action in such a way that abnormal examples are effortlessly recognized by clients. These instruments were then used to recognize universal calling misrepresentation. Checking and keeping up media transmission systems is a critical undertaking. As these systems got to be progressively unpredictable, master frameworks were produced to deal with the cautions produced by the system components. Be that as it may, on the grounds that these frameworks are costly to create and keep current, information mining applications have been created to recognize also, anticipate arrange flaws. Blame distinguishing proof can be very troublesome in light of the fact that a solitary blame may bring about a course of alerts-a number of which are not related with the underlying driver of the issue. Subsequently a vital some portion of blame recognizable proof is alert connection, which empowers various alerts to be perceived as being identified with a solitary blame. The Telecommunication Alarm Sequence Analyzer (TASA) is an information mining apparatus that guides with blame recognizable proof by searching for as often as possible happening worldly examples of cautions. Designs recognized by this instrument were then used to help build an administer based caution connection framework. Another exertion, used to foresee media transmission switch disappointments, utilized a hereditary calculation to mine chronicled caution logs searching for prescient consecutive furthermore, fleeting examples (Weiss and Hirsh, 1998). One confinement with the methodologies simply portrayed is that they overlook the basic data about the fundamental arrange. The nature of the mined groupings can be enhanced if topological closeness requirements are considered in the information mining process or if substructures in the media transmission information can be distinguished and abused to permit less complex, more valuable, examples to be scholarly (Baritchi, Cook, and La wrence, 2000). Another approach is to utilize Bayesian Belief Networks to distinguish issues, since they can reason about circumstances and end results. Information mining ought to play a vital and expanding part in the broadcast communications industry due to the lot of top notch information accessible, the aggressive nature of the business and the advances being made in information mining. Specifically, progresses in mining information streams, mining successive and fleeting information, whats more, foreseeing/ordering uncommon occasions ought to profit the media communications industry. As these and other advances are made, more dependence will be put on the information procured through information mining and less on the information procured through the time-serious process of inspiring area learning from specialists-in spite of the fact that we expect human specialists will keep on playing an critical part for quite a while to come. Changes in the way of the media communications industry will likewise prompt to the advancement of new applications also, the destruction of some present applications. For instance, the fundamental us e of extortion location in the broadcast communications industry used to be in cell cloning extortion, however this is not true anymore on the grounds that the issue has been generally disposed of because of innovative propels in the PDA confirmation handle. It is hard to foresee what future changes will confront the media communications industry, however as telecom organizations begin giving TV administration to the home and more advanced phone administrations turned out to be accessible (e.g., music, video, and so on.), it is clear that new information mining applications, for example, recommender frameworks, will be created and conveyed. Sadly, there is likewise one upsetting pattern that has created as of late. This worries the expanding conviction that U.S. media transmission organizations are too promptly offering client records to legislative offices. This worry emerged in 2006 due to disclosures-made open in various daily paper and magazine articles-that media communications organizations were turning over data on calling examples to the National Security Agency (NSA) for motivations behind information mining. In the event that this worry proceeds to develop unchecked, it could prompt to limitations that farthest point the utilization of information digging for true blue purposes. The media communications industry has been one of the early adopters of information mining and has sent various information mining applications. The essential applications identify with showcasing, extortion discovery, and system checking. Information mining in the media communications industry confronts a few difficulties, because of the measure of the informational collections, the successive and fleeting nature of the information, and the constant prerequisites of a large number of the applications. New techniques have been produced and existing techniques have been upgraded to react to these difficulties. The focused and changing nature of the business, joined with the way that the business produces colossal measures of information, guarantees that information mining will assume an essential part later on of the media communications industry. References [1] Rosset, S., Neumann, E., Eick, U., Vatnik (2003). Client generation value models for decision support. Data Mining and Information Innovation, 7(3), 321- 339. [2] Winter Corporation (2003). 2003 Top 10 Award Winners. Retrieved October 8, 2005, from http://www.wintercorp.com/VLDB/2003_TopTen_Survey/TopTenwinners.asp [3] Fawcett, T., Provost, F. (2002). Fraud Uncovering. In W. Klosgen J. Zytkow (Eds.), Handbook of Data Mining and Information Sighting (pp. 726-731). New York: Oxford University Press. [4] Mozer, M., Wolniewicz, R., Grimes, D., Johnson, E., Kaushansky, H. (2000). Forecasting subscriber displeasure and improving retention in the wireless telecommunication industry. IEEE Transactions on Neural Networks, 11, 690-696. [5] Weiss, G., Ros, J., Singhal, A. (1998). ANSWER: Network monitoring using object-oriented rule. Records of the Tenth Conference on Ground-breaking Applications of Artificial Intelligence (pp. 1087-1093). Menlo Park: AAAI Press. [6] Alves, R., Ferreira, P., Belo, O., Lopes, J., Ribeiro, J., Cortesao, L., Martins, F. (2006). Determining telecom fraud circumstances through mining unpredictable behavior patterns. Records of the ACM SIGKDD Workshop on Data Mining for Business Applications (pp. 1-7). New York: ACM Press. [7] Kaplan, H., Strauss, M., Szegedy, M. (1999). Just the fax-discriminating voice and fax phone lines using call billing data. Reports of the Tenth Annual ACM-SIAM Convention on Distinct Algorithms (pp. 935-936). Philadelphia, PA: Society for Industrial and Applied Mathematics. [8] Baritchi, A., Cook, D., Holder, L. (2000). Determining organizational patterns in broadcastings data. Proceedings of the Thirteenth Annual Florida AI Research Symposium (pp. 82-85).

Pablo Picasso :: Essays Papers

Pablo Picasso Picasso was born on October 25, 1881, in Malaga, Spain, son of an artist, Jose Ruiz, and Maria Picasso. Rather than adopt the common name Ruiz, the young Picasso took the rarer name of his mother. An artistic prodigy, Picasso, at the age of 14, completed the one-month qualifying examination of the Academy of Fine Arts in Barcelona in one day. From there he went to the Academy of San Fernando in Madrid, returning in 1900 to Barcelona. The years of 1901 to 1904 were known as the "blue period" because of the blue tonality of Picasso's paintings. During this period, he would spend his days in Paris studying the masterworks at the Louvre and his nights enjoying the company of fellow artists at cabarets. 1905 and 1906 marked a radical change in color and mood for Picasso. He became fascinated with the acrobats, clowns and wandering families of the circus world. He started to paint in subtle pinks and grays, often highlighted with brighter tones. This was known as his "rose period." In 1907, Picasso painted "Les Demoiselles d'Avignon," considered the watershed picture of the twentieth century, and met Georges Braque, the other leading artist of the Cubist movement. Cubism was equally the creation of Picasso and Braque and from 1911 to 1913, the two men were in frequent contact. In 1917, Picasso did the set and costume design for Serge Diaghilev's ballet "Parade." For Picasso the 1920's were years of rich artistic exploration and great productivity. Picasso continued to design theater sets and painted in Cubist modes. From 1929 to 1931, he pioneered wrought iron sculpture with his old friend Julio Gonzalez. In the early 1930's, Picasso did a large quantity of graphic illustrations. In late April of 1937, the world learned the shocking news of the saturation bombing of the civilian target of Guernica, Spain by the Nazi Luftwaffe. Picasso responded with his great anti-war painting, "Guernica." During World War II, Picasso lived in Paris, where he turned his energy to the art of ceramics. From 1947 to 1950, he pursued new methods of lithography.

Home Rule :: Essays Papers

Home Rule The Potato Famine, religious discrimination, and land issues caused tension in the Irish community. Home Rule, a measure of an independent government for Ireland, was the inevitable solution. It took more than two centuries for Ireland to gain its independence over Great Britain. With the Act of 1800, the British abolished Ireland’s Dublin Parliament. As a result, Irish members were forced to take their seats in Westminster (Walsh 1). This left the Irish with no government representation within the country. The Irish had a desire to control domestic affairs without any British involvement. Replaced by English traditions and emigration, the nationalist movement increased opportunity for change. By the mid 1880’s, Irish nationalism rose to great heights and Irish independence was at the forefront of politics (20). Charles Parnell became the leader of the revived Irish movement. He was named head of both the Irish Parliamentary Party and the National Land League. Parnell gained support from members of the Fenian movement, as well as newly elected British Prime Minister, William Gladstone. Gladstone was highly aware of the Irish predicament stating "My mission is to pacify Ireland" (21). His attempt at pacification started with the disestablishment of the Church of Ireland. In 1885, he introduced the First Home Rule Bill. Between the years of 1886 and 1921 there were four Home Rule bills submitted to Parliament. The Home Rule Bills provided a dual-bodied legislature strictly for local matters and Irish representation at Westminster to vote on Irish taxation. According to Taylor "It threatened to frustrate those (British) completely in that it provided for a sepa rate Irish parliament and an end to Irish representation in Westminster" (Taylor 772). This led way to views of republicans and revolutionaries after each bill was defeated. Home Rule had a huge effect on Irish society and Irish politics to which Ireland is shaped today. The Gaelic Revival was an attempt to re-introduce old Gaelic traditions to the Irish people. The Irish were fed up with British influence. The restoration of their culture would provide themselves with a national identity. As stated in Ireland’s Independence, "The period saw the emergence of a separate series of organizations – literary, sporting, political" (Walsh 18). The Gaelic Athletic Association (GAA), founded by Michael Cusak, promoted national games, such as hurling, football, and handball (Walsh 18).

Collaboration and Innovation at Procter & Gamble Case Study

Collaboration and Innovation at Procter & Gamble CASE STUDY 1. What is Procter & Gamble’s business strategy? What is the relationship of collaboration and innovation to that business strategy? i. Proctor and Gamble’s business strategy focuses on three main areas. This is to maintain the popular the popularity of its existing brands through advertising and marketing; the extension of its brand to related products by developing new products and the creation of new brands from scratch.To achieve these, the company aims to facilitate collaboration between researchers, marketers and managers. ii. By fostering interaction among employees P&G fosters informed decision making and the sharing of ideas and information which ultimately leads the company to produce quality products. 2. How is P&G using collaboration systems to execute its business model and business strategy? List and describe the collaboration systems and technologies it is using and the benefits of each i.P&G res earchers use collaborative tools to share data on various brands they have collected which allows marketers to access this data to create better targeted ad campaigns and likewise managers access data shared t be able to make informed decisions. ii. – P&G use a suite of Microsoft products such as MS Outlook, MS SharePoint and others that have unified communication and integrate services through voice and data transmissions and allow for instant messaging, email and electronic conferences, web conferencing with live meeting, and content management. P&G use social networking innovations -P&G uses blogs instead of emails that are open to anyone interested in their content and attract comments from others. – The company uses Connect beam which is a search tool that allows employees to share bookmarks and tag content with descriptive words that appear in future searches, and facilitates social networks of coworkers to help them find and share information more effectively â €“ It also uses InnovationNet which contains over 5 million research-related documents in digital format accessible through a browser-based portal. P&G have also adopted Cisco Telepresence conference rooms across the globe that allows researchers to communicate and share data. Some benefits of the Cisco Telepresence include the reduction of travel cost, efficient flow of ideas and quick decision making. 3. Why were some collaborative technologies slow to catch on at P&G? Some collaborative tools were slow for P&G because employees resisted to the collaborative tool because in their opinion that would create more work and delays.Employees were more accustomed to emails 4. Compare P&G’s old and new processes for writing up and distributing the results of a research experiment. Researchers under the old process wrote up their experiments using MS Office tools then print them out and glue the papers page by page into notebooks or they would simply paste results of experiments into word documents and pass them out. Also data and speech recordings are entered into MS PowerPoint and emailed to employees.In the new method however, employees use a collaborative tool such as InnovationNet which contains over 5 million research- related documents in digital format accessible to employees via a browser-based portal. Also P&G uses a Microsoft SharePoint page where all presentations are posted. These presentations are stored in a single location and accessible to employees and colleagues in other parts of the company. 5. Why is telepresence such a useful collaborative tool for a company like P&G?Telepresence is a useful collaborative tool for P&G because it helps to foster collaboration between employees across continents and leads to reduction in travel cost, efficient flow of ideas and quick decision making. 6. Can you think of other ways P&G could use collaboration to foster innovation? Proctor and Gamble could use virtual world technology which creates online 3-D environments populated by employees who have in-built graphical representations of themselves known as avatars.P&G can use this virtual world to house online meetings, training sessions, and â€Å"lounges. † Real-world people represented by avatars meet, interact, and exchange ideas at these virtual locations. Communication takes place in the form of text messages similar to instant messages. P&G could also use Google Apps or Google Sites which is a collaborative that allows users to quickly create online, group-editable web sites in minutes and post a variety of files including calendars, text, spreadsheets, and videos for private, group, or public viewing and editing.Also Google a software such as called Google Wave which is part conversation and part document can be used as a collaborative tool. Researchers or any participant of a wave can reply anywhere in the message, edit the content, and add or remove participants at any point in the process. Users are able to see responses from other participants on their â€Å"wave† while typing occur, accelerating the pace of discussion.