A Different History. Poem Essay - 2573 Words

A different History Sujata Bhatt The poem A different History, written by Sujata Bhatt is written post the British colonisation of India. The poem is based on Indian religion and a bit of Greek mythology. The poem talks about different cultures, mainly Indian and the colonisation of India. As Bhatt has experienced three different cultures; the Indian culture, the American culture and the German culture, the poem reflects on the differences in cultures and delves into mainly the Indian culture. The poem explores how the poet has evolved while moving from country to country and even delving into other religions. The poem also deals with conveying Bhatts confusion surrounding her own identity, using many stylistic devices such as†¦show more content†¦The theme of nature is seen here. The theme of religion is also introduced, as this line can be an allusion to the Indian Gods Shiva (who is known as Naga-Dev or snake god) and Hanuman (who played a major role in the Indian epic Ramayan). In another perspec tive Bhatt may be slightly mocking, having been away from her own religion for so long, she may be questioning whether her way of viewing things is indeed the right way. Again the semi-colon indicates a continuation. â€Å"every tree is sacred† In this line Bhatt uses the formal word â€Å"sacred† to create a sense of respect as paper is made from trees and we get books and knowledge from paper. It can also be because trees are considered sacred in the bible. By making reference to the bible, Bhatt has included the Christian religion in the poem causing a clash between it and the aforementioned Indian religion. Again the theme of religion is reinforced. The pace seems to pick up due to the lack of punctuation such as colons, semicolons and full stops. â€Å"and it is a sin to be rude to a book† Not coincidentally Bhatt talks about books which are made from paper. She speaks of how you cannot be insulting towards books because when insulting books you are also insulting the goddess, Sarasvati. Again, you are also insulting knowledge, which Bhatt holds very dear to her having been brought up without much money and being taught to valueShow MoreRelatedThe Border Is A Fight Essay1073 Words   |  5 Pagesmilitarized. In that sense, Michael Wickert presents his idea in a poem form, text named â€Å"The border Is a Fight†, that describes the dramas of a Mexican family that has to cross the border every day in a hope to get a better future. Whereas, Juanita Lopez demonstrates it through an essay that uses personal narratives of the author’s relatives to illustrate her point of view. 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Predicitve Analytics Free Essays

string(40) " in order to avoid unplanned down time\." A secondary research paper on Predictive analytics; which is a mix of tools and techniques that support organizations to identify probability in data that can be used find out the future outcomes. The scope this study Is to identify the potential of predictive analytics to leverage advertising, marketing campaign and business development Initiatives thereby understanding the customer behavior. Customer preferences, change, attitudes, purchase behaviors and attaining a high degree of inference in their decisions about what to do differently for each segment, as potential moves have been â€Å"pre-tested. We will write a custom essay sample on Predicitve Analytics or any similar topic only for you Order Now † effective Marketing Satellites + Higher Conversions = More Revenue = Growth Success! In a tough competitive global marketplace, to have desired return on the marketing initiatives bib organizations are looking forward to have new avenues which could help them to make a better understand about their customer preferences, change, attitudes, purchase behaviors. Earlier the research was archeological, looking at past customer choices and behavior. With the advent f a third-generation approach called predictive segmentation; BIB markets are able to resolve the challenges and take a competitive advantage. It Is a mix of tools and find out the future outcomes. It helps to tune insights about exactly which elements of the service or product offer actually drive customer behavior and thereby giving a high degree of confidence in their decisions about what to do differently for each segment, because potential moves have been â€Å"pre-tested. Predictive analytics technology Incorporates data collection, statistics, modeling and deployment capabilities, and drives the entire segmentation process, room gathering customer information at every interaction to analyzing the data and providing specific, real-time recommendations on the best action to take at a particular time, with a particular customer. The result is more effective customer relationshi p management strategies, including advertising and marketing campaigns; upsets and cross-sell Annihilates; and long-term customer loyalty, retention and rewards programs. Current market situation Most BIB companies which tries to get deeper customer understanding and move segmentation beyond traditional way using selects from Industry, size, anemographic views of customers Is not reaching up to the standard. In a top business marketers in the United States, themes pressing concern identified by respondents was â€Å"finding a better way to expand understanding’s their customer needs, market segments, and the key drivers of customer value. Companies which have traditionally relied on technological innovation to attain competitive advantage have come to realize that new technology or new product features are not good enough to attract more customers or increase revenues from existing customers. Major challenges 1 . Sales cycles are long and complex offerings. 2. Competitor’s offerings and strategies shift so quickly that managers cannot reliably compare the impact of changes in a given marketing 3. Customer relationship management systems cannot easily capture the decisions and actions that led to success or failure with any particular account, because such information is largely anecdotal, not quantitative. The following table represents some examples of the types of challenges solved by predictive marketing for different types of digital marketers: Benefits or Strategic objectives Attained through Predictive Analysis The predictive approach not only produces forward-looking segments; it also gives users a high degree of confidence in their decisions about what to do differently for each segment. By scientifically testing how customers might respond to future offerings, channels, and pricing; companies know how to reach the right customer with the right offer at the right time, through the right channel. 1. Compete – Secure the Most Powerful and Unique Competitive Stronghold A predictive model distinguishes the micro segments of customers who choose your company from those who defer or defect to a competitor. In this way, your organization identifies exactly where your competitor falls short, its weakness. 2. Grow – Increase Sales and Retain Customers Competitively Each customer is scored for their behaviors like purchases, responses, churn and clicks. These scores drive the enterprise operations across marketing, sales, and customer and help the organization to have competitive advantage Aberdeen group in August 2011 (Predictive Analytics for Sales and Marketing: Seeing Around Corners) found that companies using predictive analytics enjoyed a 75% higher click through rate and a 73% higher sales lift than companies that did not SE this technology. Figure below shows the details of the research conducted among 160 test audiences. Source from:- Aberdeen group in August 2011 -Predictive Analytics for Sales and Marketing: Seeing Around Corners) ranking transactions with a predictive model dramatically boosts fraud detection. 4. Improve – Advance Your Core Business Capacity Competitively Whether offering a service or a product, enterprise’s central function is to produce a nd deliver with increasing effectiveness and efficiency. By way of greater efficiency would be able to overproduces/services at cheaper prices. . Satisfy – Meet Today’s Escalating Consumer Expectations By offering very targeted offers that have more probability of acceptance. Companies are able to accomplish their marketing objectives and set the customer expectation without increasing their marketing staff or budget. Business application of predictive analytics Most of the organization applies predictive analytics to automate operational decisions, across marketing, sales areas and beyond. Choosing the business application of predictive analytics depends on strategic question or type of decision companies choose to automate. Companies run variety of campaigns to accomplish specific goals, such as acquisition, cross-selling, and retention. Predictive analytics creates a range of models, parallel to their business application; table below shows some of the business application and the predictions that companies look forward. Business application: Predictions Customer retention customer defection/churn/attrition Direct marketing customer response Product recommendations what each customer wants/likes Behavior-based advertising which ad customer will click on Email targeting which message customer will respond to Credit scoring debtor risk Insurance pricing and selection applicant response, insured risk Supply chain optimization 1 . Supply chain visibility and cost to serve 2. Demand forecasting Optimization 3. Network optimization: is about analyzing total cost of ownership of a company’s supply chain network. 4. Predictive asset maintenance: improving up times, performance and availability of manufacturing assets by predicting when maintenance or when a new part is required in order to avoid unplanned down time. You read "Predicitve Analytics" in category "Papers" 5. Spend analytics: understanding how much a company is spending on different recruitment categories, with which suppliers, and how a company can optimize their spending across all those categories. Invitational campaign approach In traditional campaign approach markets typically use a few basic selections to identify customer behavior while creating a campaign. It was mainly based on internal company processes, rather than focusing on the needs and preferences of its customers. Response to these types of conventional campaigns is generally lo w often less than one or two percent. Optimizing campaigns with Predetermination In order to optimize marketing campaigns, companies need to be able to answer the four crucial questions like Who should I contact? What should I offer? When should I make the offer? How should I make the offer? Predictive Marketing enables marketers to find the answers quickly, and to create and execute campaigns around this simple but effective process. First, marketing analysts create predictive models; as we have discussed earlier creating models depends on the business application or strategic question in hand companies. These models helps to efficiently find appropriate customers and discover the best timing,channel, and message for each customer. Then, arresters add business information such as contact restrictions, budget guidelines, and campaign objectives. Before sending the campaigns, they verify the projected size and cost of each campaign, as well as the expected response and revenue on each campaign. Finally, the marketers execute the approved campaigns. Select the right audience Using the model campaigner decides the right customer segments to send out the campaign; deciding the target segment using the model typically reduces campaign costs by 25 to 40 percent, while maintaining or even increasing response rate. Select the right channel At this stage of the campaign process, marketers determine how best to contact each customer. By using each customer’s preferred channel, (based on channel preferences and predicted response) companies increase response rates. Select the right time Consumers today have many choices for meeting their needs. That’s why it’s critical to reach customers in a timely manner when their behavior indicates an unmet need or a risk of defection or attrition. Predictive Marketing continually scans customer databases for Just such events, and triggers specific campaigns when a need or risk is detected. Some companies increase the frequency of campaigns to improve the chances of reaching customers at an ideal time. These campaigns target fewer customers, but the customers they do target have a high likelihood of response. When the campaigns are finished, they use Predictive Marketing to compare actual results to the projections, and incorporate information that can improve the effectiveness of future campaigns. This process is accomplished in Predictive Marketing two main modules, the Analytic Center and the Interaction Center anticipate the needs and preferences of individual customers. The Interaction Center s used to create, optimize, and execute campaigns based on the customer needs predicted by models created in the Analytic Center. Together, the Analytic Center and the Interaction center enable companies to answer the â€Å"who, what, when, and how’ of successful campaign marketing. Marketing analysts create predictive models of customer behaviors and preferences in the Analytic Center. The models are then used by marketers to create and optimize campaigns in the Interaction Center. New interaction data is sent back to the Analytic Center to refine and enhance the predictive models. Select the right offer When companies increase the number of campaigns they run, they risk alienating their customers by overloading them with offers. Conventional campaign management tools are not designed to address the potential overlap. Predictive Marketing, however, reduces this risk through a comprehensive campaign optimization process. Predictive Marketing evaluates all of the available campaigns and selects the one that best balances the customer’s likelihood to respond with the profit potential of the campaigns. It also takes into account suppressions and contact restrictions, such as â€Å"do not call† or â€Å"do not contact more Han once every two months. This customer focus, combined with the ability to optimize campaigns around restrictions and preferences, has enabled companies to report a profit increase of between 25 and 50 percent. As companies transition from large, unfocused marketing campaigns to highly targeted, event- based campaigns across multiple channels, their mar keting departments go through several stages Predictive Marketing enables companies to run more effective campaigns at each stage of the transition. Stage 1: Right customer 2: Right channel 3: Right time 4: Right offer 1 . Objective Select the targeted customers For each campaign Select the best channel for each customer Contact each customer at right time Select the best offers for each customer 2. Enabling technology Predictive analytics Channel optimization Event marketing Campaign optimization 3. Strategy Predict who is likely to respond to a campaign and balance that information with against expected revenue Balance each customers channel preference against triggers to select customers Balance the customers likelihood to respond against the profit potential of each campaign 4. Benefit 25 – 40% reduction in direct marketing cost Decreased cost of Interaction Up to double the response to marketing campaigns 25 – 50% profit increase Assessing the impact of campaign decisions After marketers create campaigns, Predictive Marketing eliminates the guesswork of determining which ones to run. This helps marketers know in advance which campaigns are likely to be the most successful at reaching a specific goal, such as retaining at-risk customers or selling a particular product. It also shows which campaigns are not likely to be profitable. By running only the campaigns that have the greatest potential for success, companies achieve positive financial results. Monitoring and improving campaigns Feedback from campaigns enables the marketing department to measure the actual results of campaigns, as well as adjust in-progress campaigns when the initial results are not as positive as expected. Predictive Marketing stores all campaign interaction information, such as the offer made, the campaign used to make the offer, and the models used in the campaign. This enables users to monitor: Campaign-level performance, such as actual response versus expected response, so users can see which segments and groups performed well Customer performance, such as customer profitability, cross-sell ratios, and attrition risk Channel performance, such as expected load on a channel versus planned load, and channel effectiveness for each campaign Predictive model performance, assess which models to continue to use and which to revise or refine. Predictive Marketing uses data from recent campaigns to further refine its models. By tracking the performance of models and campaigns, companies create a â€Å"feedback loop† of information and refinement that enables them to create even more effective campaigns and achieve progressively better results. Integrating with social media Companies are making a transition from a method of listing to engaging in order to capture more value from social media. Among the wide network of customers, predictive analysis helps business to plan it strategically to maximize the value of their social media interaction. Using techniques from data mining and text mining, predictive analytics lets you analyses at historical patterns and make predictions about future behavior for specific individuals. By taking customer data that you hold internally and adding what people have said and done, you can map out what people are likely to do and engage them accordingly. Enhance social media efforts with predictive analytics If you’ve got a social media game plan for monitoring feedback and engaging customers, consider adding predictive analytics to help you respond to customers in more proactive, targeted ways. As an example, by classifying sentiment (customer’s opinion, comments, suggestions or thoughts about the product) in social media data and tying that to customer data, you can predict people who are likely to be favorable prospects with special messages or offers. Here’s one way you can get started: 1 . Capture 1,000 comments in the social media sites you monitor. You’ll need to determine who to respond to, and how. 2. As its not feasible to respond to all comments, you can use text mining to classify sentiment, and based on the results; follow a 3-pronged response strategy: Send thank yoga’s to positive comments – reinforce the relationship. Ignore comments with negative sentiment below a certain threshold – in some cases; it’s more effective to focus on more receptive customers. For those in between, send an invitation to engage via one-on-one social interaction with a support or sales representative. You can engage customers â€Å"in social† through outworks such as Twitter, Linked or direct them to your online email portal or phone bank. 3. Next, you’ll want to measure the effectiveness of your response strategy. After planning your responses, test different messages (A/B testing) for each response type to gauge effectiveness, analyze and understand response rates, and refine your messaging. This testing will inform the engagement strategy you deploy going forward. Adding predictive analytics to your social media efforts lets you capture more value sand ultimately, it can help you gain a deeper understanding of your customers o more effectively engage them, increasing retention and loyalty A Microscopic and Telescopic View of Your Data Predictive analytics employs both a microscopic and telescopic view of data allowing organizations to see and analyze the minute details of a business, and to peer into the future. Traditional Bal was limited only to create assumptions and find statistical patterns to those assumptions. Predictive analytics go beyond those assumptions to discover previously unknown data; it then looks for patterns and associations anywhere and everywhere between seemingly disparate information. Predictive Analytics-The Future Business Intelligence The market is witnessing an unprecedented shift in business intelligence (81), largely because of technological innovation and increasing business needs. The latest shift in the Bal market is the move from traditional analytics to predictive analytics. Although predictive analytics belongs to the Bal family, it is emerging as a distinct new software sector. Analytical tools enable greater transparency, and can find and analyze past and present trends, as well as the hidden nature of data. However, past and present insight and trend information are not enough to be nominative in business. Business organizations need to know more about the future, and in particular, about future trends, patterns, and customer behavior in order to predictive analytics to forecast future trends in customer behavior, buying patterns, and who is coming into and leaving the market and why. Traditional analytical tools claim to have a real 3600 view of the enterprise or business, but they analyze only historical data, data about what has already happened. Traditional analytics help gain insight for what was right and what went wrong in decision-making. Today’s tools merely provide rear view analysis. However, one cannot change the past, but one can prepare better for the future and decision makers want to see the predictable future, control it, and take actions today to attain tomorrow’s goals. Case study Let’s use the example of a credit card company operating a customer loyalty program to describe the application of predictive analytics. Credit card companies try to retain their existing customers through loyalty programs. The challenge is predicting the loss of customer. In an ideal world, a company can look into the future and take appropriate action before customers switch to competitor companies. In this case, one can build a predictive model employing three predictors: frequency of use, personal financial situations, and lower annual percentage rate (PAR) offered by competitors. The combination of these predictors creates a predictive model, which works to find patterns and associations. This predictive model can be applied to customers who are would be using their cards less frequently. Predictive analytics would classify these less frequent users differently than the regular users. It would then find the pattern of card usage for this group and predict a probable outcome. The predictive model could identify patterns between card usage; changes in one’s personal financial situation; and the lower PAR offered by competitors. In this situation, the predictive analytics model can help the company to identify who are those unsatisfied customers. As a result, companies can respond in a timely manner to keep those clients loyal by offering them attractive promotional services to sway them away from switching to a competitor. Predictive analytics could also help organizations, such as government agencies, banks, immigration departments, video clubs etc. Achieve their business aims by using internal and external data. Conclusion It was found that with the help of predictive analysis, organization were able to resolve one of greatest challenge faced in business organization (to find out the customer expectation, needs, key drivers of customer value and market segments) by way of analyzing transactional and other data to predict the likelihood that customer segments will respond to marketing messages. Predictive analytics enables marketers to understand the key factors that drive customer value and loyalty, and attract more customers. How to cite Predicitve Analytics, Papers

Violence And Pornography Essays - Sex-positive Feminism, Pornography

Violence and Pornography Pornography -- Sex or Subordination? In the late Seventies, America became shocked and outraged by the rape, mutilation, and murder of over a dozen young, beautiful girls. The man who committed these murders, Ted Bundy, was later apprehended and executed. During his detention in various penitentiaries, he was mentally probed and prodded by psychologist and psychoanalysts hoping to discover the root of his violent actions and sexual frustrations. Many theories arose in attempts to explain the motivational factors behind his murderous escapades. However, the strongest and most feasible of these theories came not from the psychologists, but from the man himself, ?as a teenager, my buddies and I would all sneak around and watch porn. As I grew older, I became more and more interested and involved in it, [pornography] became an obsession. I got so involved in it, I wanted to incorporate [porn] into my life, but I couldn't behave like that and maintain the success I had worked so hard for. I generated an alter-ego to fulfill my fantasies under-cover. Pornography was a means of unlocking the evil I had burried inside myself? (Leidholdt 47). Is it possible that pornography is acting as the key to unlocking the evil in more unstable minds? According to Edward Donnerstein, a leading researcher in the pornography field, ?the relationship between sexually violent images in the media and subsequent aggression and . . . callous attitudes towards women is much stonger statistically than the relationship between smoking and cancer? (Itzin 22). After considering the increase in rape and molestation, sexual harassment, and other sex crimes over the last few decades, and also the corresponding increase of business in the pornography industry, the link between violence and pornogrpahy needs considerable study and examination. Once the evidence you will encounter in this paper is evaluated and quantified, it will be hard not come away with the realization that habitual use of pornographic material promotes unrealistic and unattainable desires in men that can leac to violent behavior toward women. In order to properly discuss pornography, and be able to link it to violence, we must first come to a basic and agreeable understanding of what the word pornography means. The term pornogrpahy originates from two greek words, porne, which means harlot, and graphein, which means to write (Webster's 286). My belief is that the combination of the two words was originally meant to describe, in literature, the sexual escapades of women deemed to be whores. As time has passed, this definition of pornography has grown to include any and all obscene literature and pictures. At the present date, the term is basically a blanket which covers all types of material such as explicit literature, photography, films, and video tapes with varying degrees of sexual content. For Catherine Itzin's research purposes pornogrpahy has been divided into three categories: The sexually explicit and violent; the sexually explicit and nonviolent, but subordinating and dehumanizing; and the sexually explicit, nonviolent, and nonsubordinating that is based upon mutuality. The sexually explicit and violent is graphic, showing penetration and ejaculation. Also, it shows the violent act toward a woman. The second example shows the graphic sexual act and climax, but not a violent act. This example shows the woman being dressed is a costume or being ?talked down' to in order to reduce her to something not human; such as a body part or just something to have sex with, a body opening or an orifice. Not only does ?erotica' show the entire graphic sexual act, it also depicts an attraction between two people. Her research consistently shows that harmful effects are associated with the first two, but that the third ?erotica', is harmless (22). These three categories basically exist as tools of discerning content. Although sometimes they overlap without a true distinction, as in when the film is graphic in the sexual act and also in violence, but shows the act as being a mutual activity between the people participating. In my view, to further divide pornography, it is possible to break it down into even simpler categories: soft and hard core pornography. Hard core pornography is a combination of the sexually explicit and violent and the sexually explicit and nonviolent, but subordinating and dehumanizing categories, previously discussed. Soft core pornography is thought to be harmless and falls into the category known as ?erotica'; which is the category based on mutuality. In hard core pornogrpahy, commonly rated XXX, you can see graphic depiction's of violent sexual acts usually with a man or group of men, deriving sexual gratification from the

Race and Religious Rights in America †Sociology Paper

Race and Religious Rights in America – Sociology Paper Free Online Research Papers Race and Religious Rights in America Sociology Paper The long history of the rights of people of color is reflected in their choice of tactics in all of their campaigns. Activists organizing against religious rights attacks must come to understand how racism and sex oppression are connected in their strategy. This is especially important because the struggle to overcome race-based discrimination provides the legal and ideological foundation for liberation of the struggle and for the larger movement to realize the promise of full civil equality for all people. Any attempt to undermine the civil rights gains made by African Americans and other people of color will undermine the ability of all groups to achieve civil equality. In the history of U.S. racism the struggle for multi-racial democracy in the US is a fight against both interpersonal and institutional forms of discrimination that have deep roots in slavery. Racism in the US, as experienced by all people of color, is largely based on the justification for an institutionalization of slavery. Despite the abolition of slavery and the contributions of African Americans to the establishment of a more democratic society during reconstruction, its legacy persisted both on an interpersonal and institutional level into the 1960s. The historical effects of slavery continue even now to be critical of American social, cultural, political, and economic life. Religion Prior to slavery, Native Americans, Africans, Latinos, and Asians were regarded as subhuman based on their religious beliefs. To white Americans and Europeans, the worlds people existed in two categories: Christian and non-Christian. The human worth of any individual was defined according to their relationship to a Christian god. The problem this presented to slaveholders and to those involved in the project of destroying Native American nations is that the nature of Christianity allowed for people of color to find religion. The civil rights movement continued because of the struggle against race-based discrimination. This is rooted in the struggle against slavery and their fight for religious freedom. In the 1960s African Americans led a fight to remove the remainder of slavery from our constitution and from state and local laws. The most horrible among these were Jim Crow laws that required racial segregation. Jim Crow Laws Jim Crow laws in U.S. history begin in the 1880s when segregation was legalized between blacks and whites. The Supreme Court ruling in 1896 in Plessy v. Ferguson, which separated facilities for whites and blacks were constitutional, encouraged the passage of discriminatory laws that wiped out the gains made by blacks during Reconstruction. Railways and streetcars, public waiting rooms, restaurants, boardinghouses, theaters, and public parks were segregated; separate schools, hospitals, and other public institutions, generally of inferior quality, were designated for blacks. A march in Washington D.C. by over 200,000 in 1963 dramatized the movement to end Jim Crow Laws. Southern whites often responded with violence, and federal troops were needed to preserve order and protect blacks, notably at Little Rock, Ark. (1957), Oxford, Miss. (1962), and Selma, Ala. (1965). All they were trying to do is delay the inevitable, because they eventually came out with The Civil Rights Act of 1964, the Voting Rights Act of 1965, and the Fair Housing Act of 1968 that finally ended the legal sanctions to Jim Crow. Monetary Discrimination How rich or poor someone or some group may be, all have civil rights and the option of making claims of discrimination and demanding government redress of our grievances. While poverty is frequently the result of discrimination, the presence of poverty is not a test for whether any group may enjoy civil rights. Not all people of color are poor. The proportion of African Americans families with incomes over $50,000 increased over the last two decades from 10.0 to 13.8 percent. While the total number of African American families earning more than $50,000 has increased, the median income for Blacks overall has decreased since the 1970s. These statistics are indicative of the lack of real civil rights protection and enforcement in the 1970s and 80s. Ending Clause Over this period there has been a rapid erosion of the gains of the civil rights movement. The history of racism and the struggle for civil equality of people of color in the United States is far broader and more complex than can be covered in this brief overview. It is critical that we come to understand this history and its impact on contemporary society in order to effectively understand what is going on in society, and as one of the goals a return to the traditional values of openly expressed and overtly institutionalized racism. In short, the concept of race in the American context is a socially constructed system for placing people in a hierarchical structure of social and economic relations. There is nothing innate or natural about race. It is simply not enough for us to honor diversity. We must recognize that we are the products of a history steeped in racism and sexism. Rather than simply honoring diversity we must build democracy. 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Function of Management Paper Essay Example | Topics and Well Written Essays - 1250 words

Function of Management Paper - Essay Example The four functions of management are planning, organizing, leading and controlling the organizational norms and domains. These four functions work hand in hand to bring to the organizational horizon a well-composed culture which is complete from all angles and perspectives. It is important that the four functions understand the need of proper incorporation of their own selves so that the organizational culture develops as a result. If the activities within an organization are adequately planned there is a strong possibility that the culture will underline the need of prioritizing things and hence a general planning regime would be in place. Organizing would take care of the steps which are important for the organizational procedures and undertakings and hence when the same are followed on a day to day basis, the organizational culture develops automatically. Leading comes from the leadership tenet where the top management understands its due role and hence embeds the much needed delegation and management skills required for the organization in essence. The last function is of controlling the organizational matters so that there is no element which has not been taken care of. All these four functions work alongside each other to construct an organizational culture which is wholesome and has a significant basis on the working procedures, undertakings and domains of the organization. (Warner, 2001) A healthy organizational culture could be instilled if the correct steps are taken at the right time so that the employees and the management are at ease with each other and also so that the activities, processes and strategies within the organizational tenets do not seem to be a misfit within the whole organizational regime. 3. Leading: Includes traits of a person who is in-charge and present all the time, could be easily replicated for a team which could be regarded as a group bringing about proactive

The Counter Culture and Social Revolution of the 1960s Research Paper

The Counter Culture and Social Revolution of the 1960s - Research Paper Example Prominent people in the 60s had launched the great changes that people enjoy today. That decade served as the basis for further changes and advancement that contributed to the progress of people globally. The whole decade of 1960s had significant events that led to a less rigid and limiting social system in the next decades. The fight for changes occurs around the world and some of those efforts were done violently and with confusion. The reaction of the people of that decade was filled with anger as they expressed their insights on the stiff societal system. Farrell then stated that the 1960s can stand out among other decades as it staged the rebellion of people especially the youth from the rigid 1950s. He also said that the root of that rebellion was the progressive modernism that started before the emergence of World War (16). The fight against the rigid social system did not only take place physically but also intellectually as literature had been used as an avenue for opening t he eyes of the public about the issues being faced by the society in that time (Cart 21). Cart also added that popular writers of 1960s detailed the events that made people take action as they fight for their complicated desires and motives (21). Those motives drove people as they did not give up for the fight they had. Hammond took notice of the critical thinkers that came out also in that decade as they thought of ways on how to prevent themselves from having too much of everything (175). She also added that balance had been sought in the pursuit of knowing the identity of own selves (Hammond 175). Despite of the pursuit for balance and self-identity, rigid rejection occurred against the dictated standards set forth by the older generation (Rielly 21). The 1960s also prevented the prevalent status quo to influence them by using rage that might have led to violence. People were unashamed and fearless as they brought out the sensitive topics that were once considered taboos. On top of that, the strength shown by those people came from the earlier fights against discrimination and conventional social system that were recorded in history (Bell 120). It can be rooted from the 1895 and 1914 modernist revolutions (Riley 58). Artistic revolution then occurred in that period as visual artists, musicians, poets and novelists went out of the traditional rules of making their own genre as they explore freely with their own form of art (Rielly 127). The self-image was also a prominent ideology in the 1960s as new point-of-views came out in the process as Roger Shattuck identified the ideology and process through his work called The Banquet Years as traditions discriminated people and how those people coped up with their situation (Bell 121). That decade focused on the welfare of the commoners like the youth and oppressed as they fought for their rights within the strict norms of the society. The paper would focus on the cultural changes and social revolutions of the 1960 s especially the massive efforts and resistance that people had done in that decade. After all, the people of the latter decades and generations owe the freedom being enjoyed to the people behind the events in the 60s that influenced the adjustments upon the social system. The 1960s was also named as the Swinging Sixties as many ups and downs took place in that decade that created many innovations and long-lasting effects to the lives of people worldwide (Palmer 179). The awareness in the global arena came to existence in the same decade as the younger generation did not conform to the beliefs and customs created by the older generations (Curran and Seaton 185). The whole decade then had produced the technological advancement that catered the needs