The Young Man Of A Slave, Jarvius Cotton - 1230 Words

The young man of a slave, Jarvius Cotton, experienced the harsh treatment of consequences that resulted in the prevention of voting, but more than a debar in society’s participation, the lack of opportunity to capture the full force of freedom that has the capacity to obliterate the force of captivity in a broken system that declares itself â€Å"just† has enforced him to abide by such laws instead. Cotton’s story further depicts the old saying, â€Å"The more things change, the more they remain the same†. (Alexander) In new generations, new tactics have been used for achieving the same goals in order to improve the standards we mark to meet in the world, specifically in today’s state of society. African American’s have undergone†¦show more content†¦(Alexander) In the pre civil rights movement African Americans suffered a variety of ordained or legislative setbacks and disadvantages such as racial segregation throughout the education system, equal or rather unequal opportunity in employment, access to public facilities, housing, voting rights, and freedom from racial discrimination, which would become future impediments. It was as if they were in a constant mode towards the subjection and oppression of a cylinder filled with the degradation of invasive structures deliberately aimed at and employed to maintain the status quo of setting them up to fail rather than succeed. Furthermore, to paint an even bleaker picture for the baseline economic status of African American families living in the U.S., the net worth of the average black household in the United States is $6,314, compared with $110,500 for the average white household, according to 2011 census data. The gap has worsened in the last decade, and the United States now has a greater wealth gap by race. Whites in America on average own almost 18 times as much as blacks. The black-white income gap is roughly 40 percent greater today than it was in 1967. In the New York Times’s article, When Whites Just Don’t Get It: After Ferguson, Race Deserves More Attention, Not Less, Nicholas Kristof writes about race

Native Americans And Treaties with the Government

â€Å"We must protect the forests for our children, grandchildren and children yet to be born. We must protect the forests for those who cant speak for themselves such as the birds, animals, fish and trees Chief Qwatsina’s of the Lakota Tribe. The plain natives, a respectful people, took from the land what they needed and always gave back. The settlers that came thought they were smarter and more advanced than the natives, and viewed the natives as being inferior. In reality it was the exact opposite. It was the settlers that had forgotten that the most basic way of life was the smartest way of life. The settlers were clouded by their â€Å"vast knowledge† that they convinced themselves that their way of life was the best and only way of life and†¦show more content†¦In the book Buffalo Jones Forty Years of Adventure written by Charles Jones, Jones describes the Plain Indians as, The most tenacious of life than any race I have ever encountered. The Plain Nati ves consisting primarily of Blackfoot, Arapaho, Cheyenne, Crow, Kiowa, Lakota, saw the bison a sacred animal because it provided almost everything they needed to survive. A good bison kill would weigh about 2,000 pounds, 800 pounds of which was good to eat. The natives could use the bladder and stomach to store water and keep meet fresh, the hides were used as cover for teepees and the various bones as weapons. The Plain Natives believed that the bison were created by the Great Spirit for the soul purpose of keeping their tribes alive, making them cherish the bison as a literal life line. In Jones’s book, Jones depicts his encounter with Chief Big Indian of the Cheyenne tribe. In this way when Jones shows Chief Big Indian where a herd of bison was, Chief Big Indian was ecstatic with excitement, and signaled the rest of his hunters that he had found a herd. Within half an hour, 100 Indians came from miles away to the signaled spot. Every able-bodied man from the tribe was ou t hunting for bison. This shows how important the bison were for the natives. When a single herd of bison was sighted it was so important that every man in the tribe would leave their wives and children at risk to hunt down the herd. During the mid 1800’s, the American frontiersmen wereShow MoreRelatedVictory through Broken Promises Essay1548 Words   |  7 Pagesthe United States and Mexico arose. Before the people of Mexico declared their independence, the treaty between the leaders of the US and Spain in 1819, Adams-Onis Treaty, had established that the border of Mexico lied along the Sabine River. In 1821, the US and Mexican governments signed a treaty stating that both governments will strive to maintain the peace and harmony among the Native Americans that live along the border between the two countries. However, due to the unique geography of theRead MoreTrail of Tears: Forceful Removal of Indians in the US837 Words   |  3 PagesThe forceful removal and exodus of thousands of Native Americans from their lands east of the Mississippi River during the 1830s is often called the Trail of Tears. This removal of Native Americans from their lands was a result of the Indian Removal Act of 1830, which w as signed by then-President Andrew Jackson one year into his presidency and which President Martin Van Buren ensured was carried out. When Andrew Jackson became President of the United States in 1829, he based his decision of signingRead MoreIndian Removal Act Essay848 Words   |  4 Pages caused controversy and the brutal and merciless suffering of the Native Americans during The Trail of Tears. The beginning of the 1830’s was a time when the Native Americans occupied The Deep South. This, however, was problematic for the white farmers who were in need of farmland in order to increase their production of cotton. Nevertheless, Andrew Jackson, the seventh president of the United States, coerced the Native Americans to relocate their civilizations to lands west of the Mississippi. ARead MoreThe Greatest Danger Of American Freedom1210 Words   |  5 Pagesgreatest danger to American freedom is a government that ignores the Constitution.† – Thomas Jefferson. Since the first contact with the Europeans, native peoples in the U.S have been battling with powerful government bodies and have repeatedly lost. Looking back to even before the founding of the Union, native populations have went to war against the progressive, overpowering and belittling nature of the government and have walked away with disease, famine and useless treaties. It is these bitterRead MoreNative American And Native Americans1156 Words   |  5 Pageswith the Native Americans. The whites had different ideas that they wanted to contribute to the country, and the Native Americans wanted to stay loyal to their cultural traditions. The early people of the United States gradually gained control of the country. This lead to Native Americans being methodically pushed off their land, deceived multiply through a broken treaty, and most of all, not being completely recognized as citizens by the rest of American society. Some of these Native American groupsRead MoreThe Road Of The Trail Of Tears1334 Words   |  6 Pageshas been one of the most controversial government sponsored events in American History. Was Amer ica justified in destroying a culture in its pursuit of Manifest Destiny, or did they feel it was their only option in this matter at the time? Based on research, I feel that the American policy of Indian removal and relocation was extremely unethical and unjustified in its motives and execution. Before Europeans arrived in present-day America, the Native Americans were living on millions of acres of landRead MoreThe Native American Pursuit Of Justice857 Words   |  4 PagesThe Native American Pursuit of Justice â€Å"Banishment from the homeland, the diaspora of a nation, the exile of a people, and ongoing colonization- these are the legacies Minnesotans and Americans have left† (waziyatawin 17). As a society, our wrongdoings towards the Native American people are irreversible. Yet, it is important to do as much as we can as a society to justify our wrong doings. Gaining knowledge about the injustices society and colonialism has committed on the Native American way ofRead MoreU.s. Government Bullying The Native Americans994 Words   |  4 Pagessimply the U.S. government bullying the native Americans and taking something they wanted. It is as simple as I want what you have and I am bigger, stronger and have a larger gun. My opinion is the United states and white Americans took advantage of an unarmed and out manned society. I hope to show my reasons for this belief in this paper through historical facts. Americans who lived in the western frontier feared and resented native Americans. Americans believed that Native Americans were uncivilizedRead MoreSocial Recognition Issues of the Sioux Tribe Essay1616 Words   |  7 Pagesthe federal state government. The Sioux Tribe itself has only been just recognized since the year of 1975 since the USTDC had administered and approved the social and economical development of these people (Daniels 7). The USTDC may have approved this act, along with broadening various new programs to socially enhance the Sioux and other tribes, but would not have the power or ability in order to push past the thoughts of people who opposed the idea of accepting Native Americans into modern societyRead MoreThe Native American Ethnic Groups Of Today Essay1390 Words   |  6 PagesThe Native American ethnic groups of today, are nothing compared to their ancestors. The treatment, hostility, and silver tongues of the past damage can never be fixed no matter how man y words, medals, promises, and gifts you give them. The late Native American culture and its ethnic groups have been unfairly mistreated and misrepresented with lies from propaganda, breach of treaties, and harsh antagonization from American business owners and regular people alike. These actions have put a horrendous

Mdrym free essay sample

This study adds to the body of research that has been conducted in the charitable giving area to help us better understand the relationship between these two aspects. An exploratory analysis of 143 males and 161 females suggests that people are most likely to make their charitable giving decisions based on the reputation of a charity. The results of this study also suggest that some factors have differing influences across demographic groups. Managerial implications are discussed. Keywords: management of nonprofits, nonprofit marketing, charitable giving, donations to charities, demographics and charitable donations, charitable donor behavior, management of nonprofit foundations. Introduction Many ©American universities and health services organizations were built on a foundation of philanthropic giving. In fact, prior to the age of health care insurance, hospitals relied on donations to remain viable. The onset of health insurance took the pressure off philanthropy for many years in the hospital industry as did state funding in our nation’s universities. However, today in the age of evaporating operating profits, charitable giving is becoming an important funding source and an area of focus for executives in many of our nation’s universities and not-for-profit organizations (Jaklevic, 2000). Statistics show that seven out of 10 people donate money during their lifetime, indicating that charity is big business (Hughes, 2002). Charitable organizations, specifically, have seen a 44 percent increase ($191 billion) since 1990 with some interruptions of late because of the stock market problems (Shinkman, 2001). Nonetheless, the importance of philanthropic giving is becoming more and more critical to long-term viability. Given this, it seems that the knowledge of what factors influence donor giving would be of great benefit to fund-raisers and development officers alike. For marketing strategies to be effective, marketers must first have detailed information on who their customers are and what motivates their actions. Peltier, Schibrowky, and Schultz (2002) suggest that most organizations have not gained full knowledge of why their donors perform as they do and what can be done to influence those behaviors. Therefore, in this paper we investigate six factors that influence charitable giving. Specifically, we examine those factors previously identified in the literature to determine which have the largest impact on charitable giving. We also examine to what  © Robin L. Snipes, Sharon L. Oswald, 2010. extent the influences of these factors are related to donor demographics. Though the charitable-giving literature shows that demographics are important influencers of charitable giving behavior, little empirical research has been done to better understand this relationship. 1. Theoretical framework 1. 1. Factors that affect donor behavior. The question as to whether individuals differ systematically in their charitable giving has been a subject of much debate (Eckel and Grossman, 2000; Nelson, 2001; Sell, Griffin and Wilson, 1993). Some research suggests that people are rational beings and are likely not to make large contributions towards a public good (Landesman, 1995). Other studies of public goods have found the opposite to be true (Fischbacher, Gachter, and Fehr, 2000). While average household contributions to philanthropic organizations have grown in recent years, the number of people actually contributing has fallen (Cohen, 2001). Thus, the question remains, what motivates an individual to make a monetary donation? Past studies have suggested that several factors can impact charitable contributions. Hughes (2002) found that personal experience1 with an organization was a motivating factor for charitable giving (Hughes, 2002). Likewise, in their study of 49 British givers, Radley and Kennedy (1995) found that personal experience with the charity, either directly or indirectly2, was the major reason people elected to donate money. Nelson (2001) found that women, in particular, were likely to make monetary contributions to organizations with which they felt 1 Personal experience is defined as either being a recipient of the charitable contributions (monetary) or a patient at a not-for-profit facility. 2 Indirect experience is defined as someone who can relate to the work of the not-for-profit organization because of something in their own life (e. g. , cancer patients and the American Cancer Society). 73 Innovative Marketing, Volume 6, Issue 1, 2010 personally or emotionally connected. This was supported by Shinkman (2001) who suggested that former patients were likely to make monetary donations to hospitals as an expression of gratitude. Hart (1999) reported that the most common reason donors get involved with not-for-profit organizations was to help others in need or to help find a means of saving lives – such as donations to entities like the American Heart Association or the American Cancer Society. This sentiment was echoed by Cohen (2001: 4) who suggested â€Å"charity fuels†, adding that more people are seeing the need to help and want to take it upon themselves to do so. Familiarity with the not-for-profit organization has also been found to be a reason for monetary donations. People become familiar with a not-forprofit organization often because of the involvement by famous people. For example, Lance Armstrong promotes his favorite charities through benefit bike rides. Marketing and advertising campaigns for notfor-profit and charitable organizations have become more prevalent in recent years as a means of trying to familiarize the public with their product or service. Some studies of donor behavior in not-for-profit companies have suggested that marketing communications affect the donors perception of the quality of the services provided by the organization (see Peltier Schibrowsky, and Schultz, 2002). Guy and Patten (1989) suggest that the donation decision process is sequential in nature and proposed three time-ordered stages: (1) potential donors must first become aware others are in need of help and deserve to be helped; (2) benefits of donating must be understood; and (3) potential donors must accept the responsibility for solving this problem or helping the eneficiaries. In the marketing of notfor-profit donations, both stages (1) and (2) above are related to communications strategies. In other words, organizations that do a better job communicating the benefits of their services and developing name awareness should receive more donations. This philosophy was proven true by UCLA Medical Center when it decided to name its flagship facility af ter former President Ronald Reagan. Thirty percent of those pledging in the campaign were first time donors who wanted to see the building named for the former president (Cohen, 2001). Related to familiarity is the scope of services and the perceived reputation of a not-for-profit organization. Some previous research on not-forprofit charitable contributions has indicated that donors are motivated in part by the reputation (Andreoni and Scholz, 1998; Peltier, Schibrowsky, 74 and Schultz, 2002)1. Additionally, research in the advertising area has shown that targeted advertising and communications expenditures are highly correlated with perceived quality and reputation of a brand name (see White and Miles, 1996). This suggests that strategies to increase donor communications and the number and quality of services provided by a healthcare organization could also increase its name awareness and reputation. Another factor that has been studied in the past is employer recommendations of specific charities. Many employers make specific charity recommendations to their employees. For example, United Way campaigns take place annually in companies throughout the US. Employees are asked to give to charities at their place of work. Many fundraisers feel that large leadership contributions can be influential in encouraging more and larger contributions by others (Bakal, 1979). Radley and Kennedy (1995) note that whether people make donations at all, and, if so how much they give, may be affected by social norms. Their own judgments as to what organizations to support and how much to give to that organization may be totally based on what is normative for their group (Macaulay, 1970). Thus, if it is the norm to give to a particular not-for-profit, the individual will not break with the norm. Hence, employer recommendations may play a significant role in the donation decision-making process. In summary, the following factors have been previously found to contribute to the decisionmaking process for charitable donations to a not-forprofit organization: (1) employer recommendations for charitable contributions; (2) previous assistance from or experience with the not-for-profit organization; (3) the scope of the services provided by the organization; (4) awareness of the organization and its services; (5) reputation of the organization; and (6) advertisements by the organization for needed donations. However, the question still remains, which of these factors are more influential in the donor decision process? The marketing literature may provide some guidance on which factors will have the greatest impact on charitable giving behavior. As mentioned in the foregoing literature review, previous consumer behavior research has found that brand equity has a large effect on price elasticity and customer loyalty. Given this, we posit the following hypothesis: 1 Reputation here relates to the public perception of whether or not the organization is doing what is expected. Innovative Marketing, Volume 6, Issue 1, 2010 Hypothesis 1: Favorable name recognition of a charity will have the largest impact on donor giving behavior. 1. 2. Demographic influences on charitable giving behavior. There is growing evidence to suggest that men’s and women’s taste for giving is quite different. For example, Eller (1997) found a considerable difference between men and women in their estate giving, while other studies have found that price and income affect men’s and women’s propensity to give differently. Researchers from the social and behavioral sciences have long supported the stereotypes that men are more individually oriented, as traditional economic theory would suggest, and thus, less likely to contribute to charitable causes, while women are more socially-oriented and, therefore, more willing to contribute (Eckel and Grossman, 2000). As early as 1965, Rapoport and Chammah examined behavioral differences between the genders in monetary situations and through the years the results have met with mixed reviews. Nowell and Tinkler (1994) found, all other things being equal, that women made higher contributions. Newman (1996) found that women are more likely than men to donate when they see a need – a sense or urgency. A later study by Eckel and Grossman (2000) indicated that in situations where risk was involved in the monetary situation, there was no significant gender difference; however, when risk was no longer part of the equation, women demonstrated more sociallyoriented and less individually-oriented behaviors. Specifically, women tended to be more generous with their giving than men. Similar results were found by Chrenka, Gutter and Jasper (2003) who looked only at unmarried men and women who headed households. On the contrary, based on a series of public goods experiments, Brown-Kruse and Hummels (1993) and Sell et al. (1993) found that women contributed less to the public good than did men. Specifically, in the Sell et al. ’s (1993) study, men were found to have contributed 61. 1 percent to the public good as compared to 48. 7 percent for women. In addition, a 2000 Harris Interactive Poll found that men were more motivated by tax benefits to give to charities than were women (Chaker, 2001). Based on the foregoing literature review the following hypothesis is advanced: Hypothesis 2: There will be gender differences in the impact of each factor on charitable giving decisions. The results of a study by Radley and Kennedy (1995) indicate that other demographic characteristics might also affect donor behavior. Their study showed that donors who were older, married, and in higher income brackets were more likely to be influenced by the factor of â€Å"previous assistance from charity† in their charitable giving decision-making. Respondents in their study commented that their attitudes to charity had changed over the years as they had matured, married, had children and aging parents, and experienced the sickness of relatives or friends. These life events were all seen as making the person more sensitive to the needs of others and to the plight of people in desperate situations. Some spoke of â€Å"getting a better perspective†, and of â€Å"being less self-interested† as they got older. Others mentioned having more disposable income to donate, though having less time to spare because of increased commitments. Chrenka et al. 2003) likewise found that individuals with greater than a high school degree were more likely to make charitable donations than those with less education. And, in accordance with Radley and Kennedy (1995), Newman (2000) found that older individuals were more likely to contribute than younger individuals primarily because they were in lower income brackets. Previous research in the charitable giving literature leads us to the following hypothesis: Hypothesis 3: The influence of each factor will differ significantly across demographic groups based on age, income, marital status and education. 2. Method 2. 1. Sample. In order to investigate our hypotheses, a mall intercept survey was conducted containing questions relating to both donor influences and demographics. The mall intercept was held in a Southeastern US town of nearly 300,000 with an average household income of $47,600 (according to the 2000 census). As an incentive to participate in the survey, the respondents were told that they would be given coupons for discounts at mall retailers. This procedure was repeated every day, at various times, for two weeks, generating a total of 304 usable responses for the study. The sample consisted of 143 males and 161 females. . 2. Measures. 2. 2. 1. Factors influencing donations. Based on the foregoing literature review, we asked respondents to rate, on a scale of 1 to 7 (1 = very unlikely and 7 = very likely), the likelihood that each of the following factors would influence their decisions about charitable giving: (1) employer recommendation; (2) previous assistance from or experience with a chari ty; (3) the scope of the services provided; (4) awareness of the charity and services provided by the charity; (5) reputation of the charity; and (6) advertisements (by charity) for needed donations. 75 Innovative Marketing, Volume 6, Issue 1, 2010 2. 2. 2. Demographics. Five demographic variables previously discussed in the literature (i. e. , age, gender, marital status, household income, education) were included in the survey. The majority of respondents were younger than 40 years old (74. 5%), Caucasian (73. 9%), and reported having at least a college education (80. 8%). Over half were married (51. 9%). 3. Data analysis and results 3. 1. Factors influencing donations – the magnitude examination. Analyses were conducted to explore which factors have the largest influence on consumers charitable giving decisions. As hypothesized, the results show that people are most likely to make their charitable giving decision on the reputation of a charity. This factor had a significantly higher mean score (5. 75) than the others, followed by the scope of services (mean = 5. 26) and awareness of charity (mean = 5. 25). The employers’ recommendation factor seems to have the least influence on people’s charitable giving (mean = 3. 75). The factors of advertisements for needed donations (mean = 4. 11) and previous assistance from charity (mean = 4. 69) have only a moderate influence on charitable giving decisions. 3. 2. Impact of donor demographics on donations. Several regression analyses with optimal scaling (CATREG) were conducted to investigate the relationships between factors influencing donors’ charitable giving decisions and donor demographics. Using optimal scaling allowed the categorical data to be quantified by assigning numerical values to the categories, resulting in an optimal linear regression equation with the transformed variables. Regression with optimal scaling is also known by the acronym CATREG, for categorical regression with optimal scaling. CATREG extends the standard regression approach by simultaneously scaling nominal, ordinal, and numerical variables. The procedure quantifies categorical variables such that the quantifications reflect characteristics of the original categories. By doing so, it treats quantified categorical variables in the same way as numerical variables. Using nonlinear transformations it allows variables to be analyzed at a variety of levels to find the best-fitting model. The likelihood of being influenced by each of the six factors was used as the interval dependent variable respectively. Five demographic variables (i. e. , age, gender, marital status, household income, education) were the independent variables. Thus, the effects of these five variables on each factor were examined. In order to evaluate the models, F tests of significance were used. This statistical analysis first focused on the significance of the whole demographic domain, and then the individual 76 variables that comprise this domain. For each dependent variable, we first conducted a regression analysis with optimal scaling to determine whether demographics (as a whole) influence the dependent variable. A statistically significant result means that demographics are related to the influence of the factor being studied. Individual regressions were then applied to those individual variables that were not significant in the model to eliminate the possible problem of multicollinearity, which could cause potentially influential variables to be mistakenly considered unimportant (see Table 1 below). Having identified possible demographic variables that were important in explaining the likelihood of being influenced by each factor in charitable giving decision, we then described the group mean effectiveness of these factors using the demographics as classification variables. 3. 2. 1. Employer recommendations and demographics. The overall demographic regression equation provided a significant model for explaining likelihood of being influenced by â€Å"employer recommendation† (F = 3. 004, Sig. = . 007). The aggregate model was only significant for one of the five demographic variables investigated (see Table 1). Age was the primary influential demographic factor. The analysis indicated that older people were slightly more likely to be influenced by employer recommendation in their charitable decision-making than younger people (Beta = 8. 016E-02, F = 1. 720). None of the insignificant individual demographics in the aggregate model were found to be significant in the individual regression models. 3. 2. 2. Previous assistance from the charity and demographics. The aggregate model of demographics on influence of previous assistance from the charity for charitable giving decision was again statistically significant (F = 2. 137, Sig. = 0. 049). Three of the demographic variables were statistically significant for the model (see Table 1). Level of education seemed to have a large and positive impact on influence of previous assistance from the charity. A higher likelihood of being influenced by this factor was found in people with higher education (Beta = 0. 114, F = 3. 662). On the other hand, the analysis indicated that females were more likely to be affected by previous assistance from the charity in their charitable decisions (Beta = 9. 859E-02, F = 2. 831) (see Table 1). Marital status was also found to be an influential demographic factor. It was negatively related to the dependent variable (Beta = -0. 134, F = 3. 731), indicating that single people Innovative Marketing, Volume 6, Issue 1, 2010 ere more likely to be influenced by previous assistance on charitable decision-making than non-single respondents. Again, none of the insignificant individual demographics in the aggregate model were found to be significant in the individual regression models (see Table 1). Table 1. Regression with optimal scaling for factors influencing charitable giving Dependent variables Employer recommendation Previous assistance from charity The scope of services provided Awareness of charity Reputation of charity Aggregate model fit F = 3. 004* P = . 007 F = 2. 137* P = . 049) F = 2. 303* P= . 035) F = 1. 977 P=. 069 F = 1. 546 P= . 63 F = 6. 443 P = . 000 Significant independent variables Age Gender Marital status Highest level of education Gender Annual household income Highest level of education Gender Highest level of education Ethic group Age Age Gender Marital status Annual household income Highest level of education Standard coefficient 8. 016E-02* 9. 859E-02* -. 134* . 114* . 100* . 137* -7. 898E-02* . 106* 8. 688E-02* . 104* . 136* -. 171* . 159* . 100* . 150* -. 105* Standard error . 061 . 059 . 069 . 060. .058 . 060 . 058 . 058 . 060 . 058 . 063 . 062 . 055 . 058 . 063 . 056 Fstatistic 1. 720 2. 831 3. 731 3. 662 3. 007 5. 107 1. 864 3. 361 2. 02 3. 172 4. 638 7. 465 8. 230 2. 984 5. 581 3. 594 Advertisements for needed donations Note: * Significant at p lt; 0. 05. 3. 2. 3. Scope of services provided and demogra phics. The overall demographic regression equation provided a significant model for explaining likelihood of being influenced by â€Å"the scope of services provided† (F = 2. 303, Sig. = . 035). The aggregate model was significant for three of the five demographic variables investigated. The analysis indicated that higher educated people were somewhat less likely to be influenced by the scope of services provided in their charitable decisionmaking (Beta = -7. 98E-02, F = 1. 864). However, people with higher income were much more likely to be influenced by this factor than those with lower income (Beta = 0. 137, F = 5. 107). Additionally, the analysis showed that the scope of service provided was more likely to influence females than males (Beta = 0. 100, F = 3. 007). â€Å"Age† and â€Å"marital status†, the two insignificant individual demographics in the aggregate model, were found insignificant in the corresponding individual regression models (see Table 1). 3. 2. 4. Awareness of charity and demographics. The ggregate model of demographics on influence of awareness of charity for charitable giving decisions was marginally significant at 90% confidence level (F = 1. 977, Sig. = 0. 069). Two of the demographic variables were statistically significant for the model (see Table 1). The analysis indicated that females were more likely to be affected by awareness in making their charitable decision (Beta = 0. 106, F = 3. 361). Also, higher educated individuals were more likely to be affected by charity awareness (Beta = 8. 69. F = 2. 102). 3. 2. 5. Reputation of charity and demographics. The overall demographic regression equation provided a non-significant model for explaining likelihood of being influenced by â€Å"reputation of charity† (F = 1. 546, Sig. = . 163). (see Table 1). One demographic variable was found significant by checking individual variables. The analysis indicated that older people were more likely to be influenced by reputation of charity in their charitable decisionmaking than younger people (Beta = 0. 136, F = 4. 638). None of the insignificant individual demographics in the aggregate model were found significant in the individual regression models. . 2. 6. Advertisements for needed donations and demographics. The aggregate model of demographics on influence of advertisements for charitable giving decisions was statistically significant (F = 6. 443, Sig. = 0. 000). All demographic variables were statistically significant for the model (see Table 1). For instance, single people were less likely to be influenced by advertisements for neede d donations than non-single respondents (Beta = 0. 100, F = 2. 984), and older people are less likely to be influenced by this factor than younger people (Beta = -0. 171, F = 7. 465). A higher likelihood of being influenced by this factor was found in people with lower education (Beta = -0. 105, F = 3. 594) than in those with higher education. On the other hand, the analysis indicated that females were more likely to be influenced by advertisements in making their charitable decisions (Beta = 0. 159, F = 8. 230). 77 Innovative Marketing, Volume 6, Issue 1, 2010 Table 2 shows a summary of group means by demographic classification. As can be seen by this table, charity reputation has the largest impact on charitable giving across all demographic groups. However, other factors have differing influences across the demographic groups. For example, advertisements for needed donations were likely to have a larger impact on the following demographics: female, younger, and less educated. Charity awareness and Advertisements for donations Gender: Male Female Age: Young (50) Marital Status: Single Married Divorced/Widowed Education: High School or Less Some College Undergraduate Degree Graduate Degree Income: Lower ($75,001) 3. 8 4. 4 4. 3 3. 9 3. 9 4. 2 4. 0 4. 3 4. 7 4. 1 3. 8 4. 1 4. 2 4. 2 4. 0 Reputation of charity 5. 7 5. 8 5. 7 6. 1 5. 4 5. 7 5. 8 5. 9 5. 8 5. 5. 7 5. 8 5. 5 6. 0 5. 6 scope of services are likely to have a larger impact on the following demographics: female, middle-age and middle-income. Previous assistance from a charity is likely to have a larger impact on the following demographics: female, single, middle-age, and higher education. As can be seen by Table 2, employer recommendations have the smallest impact on char itable giving behavior across all demographic classifications. Previous assistance from 4. 5 4. 8 4. 6 4. 9 4. 3 4. 9 4. 5 4. 5 4. 5 4. 7 4. 6 5. 0 4. 8 4. 7 4. 7 Employer recommendation 3. 6 3. 8 3. 7 3. 8 3. 6 3. 7 3. 7 4. 0 4. 0 3. 3. 8 4. 0 3. 7 3. 9 3. 6 Table 2. Group means by demographic classification Awareness of charity 5. 1 5. 4 5. 2 5. 4 5. 1 5. 2 5. 3 5. 2 5. 3 5. 4 5. 0 5. 3 5. 2 5. 4 5. 1 Scope of services 5. 1 5. 4 5. 2 5. 5 5. 1 5. 2 5. 3 5. 4 5. 5 5. 1 5. 3 5. 4 5. 0 5. 4 5. 2 3. 3. Factor correlations. Pearson correlation coefficients were computed to determine the monotonic relationships that exist among the influences of different factors on charitable giving. The correlation coefficients indicated a significant and positive relationship between the awareness of charity and reputation of charity factors (coefficient = 0. 85), the scope of services provided and awareness of charity factors (coefficient = 0. 521), and the advertisement for needed donations and the awareness of charity factors (coefficient = 0. 443). Since the reputation of a charity was found to have the largest influence on charitable giving, other factors that were highly correlated to charity reputation could also have a large influence on donations through their effect on charity reputation. That means that the awareness of a charity could also have a large positive influence on charitable giving since it is significantly correlated to the reputation of a charity. Factors that are correlated to charity awareness included advertisements for needed donations and scope of services. Put differently, to effectively influence donor behavior, charitable organizations should look for ways to increase the perceived reputation of the charity, which includes strategies such as increasing advertisements and/or 78 increasing the scope of services provided. These actions should positively affect charity reputation that, in turn, should have a positive impact on donor behavior. Discussion, implications conclusion and managerial Our results show that the reputation of a non-profit organization is the primary factor on which people base donation decisions. In fact, this factor was found to be most important across all demographic groups. Other factors that were found to be important in the charitable contribution decision were the organizations scope of services and name awareness. Not surprisingly, a correlation analysis revealed a positive and significant relationship between charity awareness, reputation, scope of services and advertisements for needed donations. These results are consistent with previous research in the advertising area which has found a positive and significant relationship between advertising, name awareness, and brand equity (White and Miles, 1996). Brand equity is the intangible asset of added value or goodwill that results from the favorable image, impressions of differentiation, and/or the strength of consumer attachment to a company name, brand name, or Innovative Marketing, Volume 6, Issue 1, 2010 trademark (Belch and Belch, p. 56). Brand name awareness and brand equity allow a brand to earn greater sales volume and enjoy higher profit margins than it could without the name (see Farris and Reibstein, 1979). One interesting finding in this study was that scope of services factor was found to be positively and significantly correlated with charity reputation. Prior to this study, little research was available on the effect of scope of services on charitable contributions. Our results imply that, ceteris paribus, health care organizations that offer a greater number of services will be perceived in higher regard than those with more narrow offerings. Since adding services tends to broaden the target market, it would make intuitive sense that name awareness would increase as the number of services offered increases. Additionally, charitable organizations with a broader scope of services tend to be the ones that have been around for a while and, hence, have had more time to develop name recognition and awareness through word-of-mouth communications. Based on the results of this study, strategies to increase charitable donations to health care organizations include targeted advertising. Advertising could increase brand name recognition and equity across all demographic groups, but this research suggests that advertisements are likely to have a larger impact on females, younger donors, and those with less education. Not surprisingly, this study supports previous research in the area of charitable contributions in that females were found to be more likely to be affected by advertising than males. Consistent with some previous researchers, it appears that females are more affected by the marketing strategies of charitable companies. Table 2 shows higher ratings for females across all factors. Although past research has shown conflicting results, some research on gender differences in charitable giving has supported this finding. For example, Nowell and Tinkler (1994) found, all other things being equal, that women showed higher contributions. Researchers of charitable giving behavior have recommended that marketers of health care References 1. 2. 3. 4. organizations develop longitudinal communications strategies (Kestnbaum, Kestnbaum, and Ames, 1998). Longitudinal communications strategies take advantage of the emerging media technologies to increase company-donor dialogs and nurture long-term interactive relationships. Consistent with our study, research in the area of longitudinal communications reveals that factors such as personal impact, communications frequency, and charity reputation all have an important longterm impact on private donations (see Peltier, Schibrowsky, and Schultz, 2002). This implies that increases in targeted communications and service quality should have a significant long-term positive impact on future donations. As pointed out by Peltier et al. 1998), to maximize the value of interactive relationships, it is critical to have detailed data on who your customers are, what they are doing, and information on why they are seeking a relationship. Despite the profit potential of this approach, however, few health care organizations are truly customer-focused and thus fail to reach the full potential of longit udinal marketing communications. The results of this study show that longitudinal marketing communications, along with a continued emphasis on service quality, continue to be some of the best strategies to increase charitable donations in the health care industry today. Limitations and directions for future research One limitation of this study is the sample. While taken on separate days, the sample was collected at one location in a mid-sized Southern US town. For all practical purposes, the sample was a convenience sample. The demographics of this study may not be representative of the entire US population, but the results provide a starting point for future research. Future research should perhaps look at a more stratified sample design with multiple locations that may yield differing results. While this may limit the generalizability of this study, it should be noted that mall intercepts are common in marketing research (see Hair, Bush, and Ortinau, 2009). That said, a replication of this study in multiple locations is warranted. 5. 6. Andreoni, James, and Scholz, John K. (1998). An Economic Analysis of Charitable Giving with Interdependent Preferences. Economic Inquiry, Vol. 36, 3, pp. 410-19. Bakal, Carl (1979). Charity USA. Times Books, New York. Belch, George E. , Belch, Michael (1998). Advertising and Promotion: An Integrated Marketing Communications Perspective. 4th Edition, McGraw-Hill. Brown-Kruse, J. nd Hummels, D. (1993). Gender effects in laboratory public goods contributions: do individuals put their money where their mouth is? Journal of Economic Behavior and Organization, Vol. 22, pp. 255-68. Chaker, A. M. (2001). Charitable Donations Are Shown To Vary by Gender, Study Shows. Wall Street Journal, April, 13. Chrenka, J. , Gutter, M. , and Jasper, C. (2003). G ender Differences in the Decision to Give Time or Money. Consumer Interests Annual, 40. 79 Innovative Marketing, Volume 6, Issue 1, 2010 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. 27. 28. 29. 30. 31. 32. 33. Cohen, T. (2001). Charity surge: Giving grows; fewer household give. Philanthrophy Journal, April, 19. Craver, Mathews, Smith and Company Donor Study (1999). Toward 2000 and Beyond: Charitable and Social Change Giving int he New Millennium: Part 1. Fund Raising Management, Vol. 30, 3, pp. 28-31. Eckel, C. C. and Grossman, P. J. (2000). Differences in the Economic Decisions of Men and Women: Experimental Evidence. In Handbook of Results in Experimental Economics, Charles Plott and Vernon L. Smith (Eds). New York: North Holland. Eller, M. B. (1997). Federal Taxation of Wealth Transfers. Statistics of Income Bulletin. Winter 1996-97, pp. 8-63. Farris, Paul W. nd Reibstein, David J. (1979). How Prices, Ad Expenditures, and Profits are Linked. Harvard Business Review, November-December, pp. 172-84. Finch, J. and Groves, D. (1983). A labor of love: women, work and caring. London: Routledge and Kegan Paul. Fischbacher, U. , Simon, G. and Fehr, E. (2000). Are People Conditionally Cooperative? Evidence from a Public Goods Experiment. Institute for Empirical Research in Economics University of Zurich, working papers series. Guy, Bonnie S. and Patton, Wesley E. (1989). The Marketing of Altruistic Causes: Understanding Why People Help. Journal of Consumer Marketing, Vol. 6, No. 1, pp. 19-30. Hair, Joseph P. , Bush, Robert P. , and Ortinau, David J. (2009). Marketing Research, 4th Ed. , McGraw-Hill Publishers. Hart, P. D. (1999). Charitable and Social Change Giving in the New Millenium, Fund Raising Management, Vol. 30, pp. 32-37. Hughes, M. (2002). They’re willing to donate. The Guardian, Saturday, October 12. Jaklevic, M. C. (2000). Charity finances health care: Donors are opening wallets to pay for million-dollar projects. Modern Healthcare, Vol. 30, pp. 26. Kestnbaum, Robert D. , Kestnbaum, Kate, and Ames, Pamela (1998). Building a Longitudinal Contact Strategy. Journal of Interactive Marketing, Vol. 12, 1, pp. 56-62. Landesman, C. (1995). The Voluntary Provision of Public Goods. Dissertation, Princeton University. Macaulay, J. R. (1970). A Shill for Charity. Altruism and Helping Behavior. New York: Academic Press, 1970. Nelson, J. (2001). Gender and Philanthropy. Bloomberg News, May, 26. Newman, R. (1996). Know your donor: gender differences in giving. Fund Raising Management, 27(5), pp. 31-32. Newman, R. (2000). Gender differences in Philanthropy. Fund Raising Management, 30(13), pp. 28-30. Nowell, C. and Tinkler, S. (1994). The influence of gender on the provision of a public good. Journal of Behavior and Organization, Vol. 25, pp. 25-36. Oakes, G. 1984). Georg Simmel: On women, sexuality, and love. New Haven: Yale University Press. Peltier, James, Schibrowsky, John, and Schultz, Don (2002). Leveraging Customer Information to Develop Sequential Communication Strategies: A Case Study of Charitable-Giving Behavior. Journal of Advertising Research, July-August, 23-33. Peltier, James, Schibrowsky, John, and Davis, John (1998). Using Attitudinal and Descriptive Database Information to Understand Buyer-Seller Relationships. Journal of Interactive Marketing, Vol. 12, 2, pp. 32-45. Radley, A. and M. Kennedy (1995). Charitable giving by individuals: A study of attitudes and practices. Human Relations, Vol. 48, pp. 685-710. Rapoport, A. and Chammah, A. K. (1965). Sex differences in factors contributing to the level of cooperation in the prisoner’s dilemma game. Journal of Personality and Social Psychology, Vol. 2, pp. 831-38. Sell, J. Griffith, W. I. and R. K. Wilson (1993). Are women more cooperative than men in social dilemmas? Social Psychology Quarterly, Vol. 56, pp. 211-222. Shinkman, R. (2001). A Time to be Generous. Modern Healthcare, Vol. 31, pp. 45. White, John and Miles, Morgan (1996). The Financial Implications of Advertising as an Investment. Journal of Advertising Research, Vol. 36, 4, pp. 43-53. 80

Michael Coppola Book Report Animal Farm - George O Essays

Michael Coppola Book Report Animal Farm - George Orwell Pigs; will take over the work someday. Animal Farm by George Orwell, revolves around the idea of communism. The book would be considered to fit within the ranges of roman a clef, satire, and fiction for genres. Whereas roman a clef or roman a cle means in French, a novel with a key or a novel about real life, overlaid with a facade of fiction. Satire is a genre of literature, in which vices, follies, abuses, and shortcomings are held up to ridicule, ideally with the intent of shaming individuals, corporations, government or society itself, into improvement. Although never stated, the book is to be presumed to take place in the 1940-50's on the "Old Manor Farm", soon renamed to "Animal Farm". The book takes place over the time period of about 4 years. This farm held the story where the animals worked and were abused. Exciting and rebellious and be used to describe the mood of the book in the beginning, but soon changes to a dreary and musty feel. The beginning gave such a feel, due to the successful rebellion of the animals, which took over the farm and worked to sustain it and prospered in wealth. That quickly changes when food didn't seem so abundant and the pigs, or "leaders and Comrades!" didn't treat the animals correctly. When everything begins to seem unfair, changed and poor, when the supplies run scarce, the book make a turn for the worse with a rather uncomfortable mood. George Orwell develops the characters very well. Napoleon, was the character that most drastically changed. Napoleon was described to be a pig, a stout and strong, that said brave and rebellious things. All the animals believed he was a leader and a fighter, by their side. They followed Napoleon's footsteps, and succeeded in their goals. Towards the end though, he transformed into a cheat, and a manipulative liar. The works the pig said were always questioned, but the animals still complied. The animals began to think of him as a dictator, but how could he ever do that to them? He was never found in public without his private guard dogs or usually inside his house. Boxer, or the hardest of working on the farm, was a large horse with the ability to carry more weight than the rest of the farm combined. Throughout the book, he had internally conflicted with himself, to always try to work harder, but thought that Napoleon was odd in a sense. Although Boxer wanted to help, he wasn't sure if his work was being put to good use by his so-called leader. Boxer wasn't the only one with these thoughts though. The society of the farm was against Napoleon, unsure if they we're getting treated correctly or not. Usually, Napoleon dismissed their questions but, they never ceased to come. The theme of the story revolves around communism. The pigs had set up a society, where they were far wealthier than others. The pigs had always chanted about equality for all animals, but that soon seemed unlikely. They had obtained a house, with better conditions, food and beds, while all others slaved for them. They had created an amendment that stated "All animals are created equal, but some animals are more equal than others". This showed how the pigs were treating the animals unfairly and were NOT equal at all. "He (Napoleon) would end his remarks, he said, by emphasising once again the friendly feelings that subsisted, and ought to subsist, between Animal Farm and its neighbours. Between pigs and human beings there was not, and there need not be, any clash of interests whatever. Their struggles and their difficulties were one. Was not the labour problem the same everywhere? Here it became apparent that Mr. Pilkington was about to spring some carefully prepared witticism on the company, but for a moment he was too overcome by amusement to be able to utter it. After much choking, during which his various chins turned purple, he managed to get it out: If you have your lower animals to contend with,' he said, we have our lower classes!' This bon mot set