Saturday, January 25, 2020

Market Segmentation In Radio Listening Habits

Market Segmentation In Radio Listening Habits Market segmentation plays an important role in radio listening habits due to three important reasons. Firstly, it allows marketers to identify groups of listeners with similar needs and facilitate the analysis of characteristics and listening behaviour of these groups (Soutar Clarke 1983; Kent 1994; Arjona et al. 1998). Secondly, segmentation provides marketers with critical information that are necessary for designing marketing mixes that are consistent with the characteristics and desires of one or more segments (Arjona et al. 1998; Gatfield 2006). Thirdly, segmentation allows radio stations achieved its objectives while satisfying the needs and wants of its customers and listeners (Fitzgerald 2004; Gatfield 2006). According to past research done on radio listening habits had indicated that lifestyle segmentation is an appropriate and effective approach adopted by marketing managers to reach its target audiences (Massy 1971; Soutar Clarke 1983; Evans, Lawson Todd 2006). Therefore, this quantitative study will be focusing on a key research question Do lifestyle predicts radio listening patterns for 6WF and 96FM Radio Station? Firstly, an external market research company was engaged to conduct phone interviews within the Perth metropolitan area and respondents were asked to respond to 43 key sets of AIO (activity, interest and opinion statement). The AIO approach is one of the most common approach use by scholars to measure consumers lifestyle (Li 2004). Respondents lifestyle can be assess through a 1-7 likert scale measurement (where 1 stands for strongly disagree and 7 stands for strongly agree) (Cicia et al. 2010). Appendix 1 shows the AIO questionnaire. Responses were obtained from 400 household in metropolitan Western Australia. Secondly, factor analysis will be used to identify the latent construct of questionnaire as this is commonly use in business research (Hair Jr et al. 2010). A Confirmatory Factor Analysis (CFA) will be used to verify all the questionnaire are categorized under the latent dimensions as proposed by previous theories or literatures (Soutar Clarke 1983) because the research will be using the 43 seven-point Lickert scale items to gauge if lifestyle influence a respondents listening habits. Thirdly, according to Leung, Fund and Lee (2009) a stepwise regression analysis is an appropriate method used to predict if lifestyle plays an important role in affecting radio listening habits. But before a factor analysis can be conducted the assumption of sample size, normality, linearity, outliers among cases, multicollinearity and singularity, factorability of the correction matrix and outliners among variables before analysis must be conducted. Results: The assumption on sample size was adequate as the research is based on 400 responses which are higher than the rule of thumb of 100. Thus, the sampling size is adequate for a factor analysis. When testing for normality on the AIO items, most of the AIO items seem to be normal with the exception of AIO8, 10,11,14,25,31,32,38. These 8 cases also had a series of outliners. Therefore, a data transformation will be required to determine if these questions can be kept for the analysis. After a series of data transformation, normality could not be achieved. Even with the deletion of outliners, normality was not achievable. Therefore these questions were eliminated from the analysis. Thus a total of 35 AIO items will be used. AIO8: AIO10 AIO11 AIO14 AIO25 AIO31 AIO32 AIO38 Reliability Statistics Cronbachs Alpha Cronbachs Alpha Based on Standardized Items .732 .739 The reliability statistic as indicated above has a result higher than Cronbachs alpha .70, which indicates an acceptable degree of internal consistency. Confirmatory Factor Analysis will be conducted to verify the hidden dimension of lifestyle towards listening habits as well as to determine the number of items categorized under each hidden dimension. The factorability of a correlation matrix can be detected via the Kaiser-Meyer-Olkin (KMO) Measure of Sampling Adequacy. In relation to this, the measure of sampling adequacy for each item (as shown on the diagonal of the anti-image correlation matrix) is larger than .5. Anti-image Matrices Extraction Method: Principal Component Analysis. The Communalities table shows the communalities value for each of the 35 items in the AIO questionnaire. Note that aio39 (I listen to the radio for a specific announcer or DJ) shows the highest communalities (.832), whereas aio5 (I have traditional ideas about most things) shows the lowest communalities (.413). The value of the initial communalities represents the percentage of variance in each item that can be explained by all possible factors. Hence, the value of initial communalities of (1.000) means that 100% of the variance in an item can be explained by all possible factors. On the other hand, the value of extracted communalities represents the percentage of variance in each item that can be explained by the extracted factors via the Principal Component (PC) Analysis. Hence the value of the extracted communalities is smaller as compared to the value of initial communalities. Based on the Total Variance Explained table, we can conclude that only 13 factors (with eigen value of more than 1) have been extracted via Principal Component (PC) Analysis. The first extracted factor can explain 11.448% in the items; the second factor can explain 10.115% of the variance in the items, all the way to the 11th extractor factor which explained 3.015% of the variance in the items. These 11 extracted factors can explain 65.518% of the variances in the AIO questionnaire items. Total Variance Explained Extraction Method: Principal Component Analysis. The Rotation Sums of Squared Loadings column reports information on the extracted factors with their respective eigen values, the percentage of variance and the cumulative percentage of variance explained by the extracted factor after the Varimax rotation. Only 11 factors (with eigen value of 1.055 to 4.007 respectively have been extracted. The first extracted factor can explain 7.744% of the variance in the items whereas the 11th factor can explain 3.727% of the variance in the items. As a whole, these 11 factors can explain 65.518% of the variance in questionnaire items. The Varimax rotation has changed the percentage of variance explained by the 11 factors (for example Factor 1 from 11.448% to 7.744%). The scree plot displays the eigen value for each of the factor. The plotted eigen value is based on the eigen value reported in Extraction Sum of Squared Loadings column. From the scree plot, observation can be made that there are two dominant factors with an eigen value of greater than 3.540. The Varimax rotation with Kaiser Normalization is conducted to better categorize the component matrix. Each item of the questionnaire that best suited a particular component will be categorized together and highlighted in different colors. For example, component 1 consists of items with a factor loading of 0.831 to 0.874. Appendix 2 provides the series of AIO questions associated to each component. Examination of the items grouping in each component allows the representation of a conceptually distinct aspect of lifestyle to radio listening as indicated in Appendix 2. The Rotated Component Matrix provide a form of content validity as it provide an assessment of the correspondence of the variables to be included in each component and its conceptual definition. This form of validity, also known as face validity, subjectively assesses the correspondence between the individual items and the concept through ratings (Hair Jr et al. 2010). For example, items in component 1 can be classified under a main concept or variables TV Addicts. The mean score of items associated to each component will be computed through the Transform Compute Variables function, for example, mean(aio27,aio20,ai04) of each respondent to form a new variables call Lifestyle_TV_Addicts. Rotated Component Matrixa Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. The computed data had resulted in 11 newly created variables that can be used to perform a multiple regression and provide information if lifestyle influence radio listening behaviour. The list of newly created variables can be found in Appendix 2. A stepwise linear regression will be conducted to address the below mentioned research question: What contributions do the 11 variables make to the prediction of radio listening preference of each radio station? Null Hypothesis: Lifestyle influence radio listening preference Alternate Hypothesis: Lifestyle does not influence radio listening preference Radio Station: 6WF Variables Entered/Removeda Model Variables Entered Variables Removed dimension0 1 Lifestyle_Cultural_Classical . 2 Lifestyle_Fashion . 3 Lifestyle_Outdoor . a. Dependent Variable: q3wf The table above shows the order in which the variables were entered and removed from the model. 3 variables were added and none were removed. In addition, an examination of the Mahalanobis distance MAH_1 values had indicated that there are no multivariate outliers among the independent variables as there are no values that are greater than or equal to the critical chi square value of 13.8 at an alpha level of .001 (Coakes, Steed Ong 2010). Model Summaryd Model R R Square Adjusted R Square Std. Error of the Estimate Change Statistics R Square Change F Change df1 df2 dimension0 1 .279a .078 .075 1.991 .078 33.576 1 398 2 .332b .111 .106 1.958 .033 14.603 1 397 3 .375c .141 .134 1.927 .030 13.968 1 396 a. Predictors: (Constant), Lifestyle_Cultural_Classical b. Predictors: (Constant), Lifestyle_Cultural_Classical, Lifestyle_Fashion c. Predictors: (Constant), Lifestyle_Cultural_Classical, Lifestyle_Fashion, Lifestyle_Outdoor d. Dependent Variable: q3wf The above model summary indicated that model 1, which included only Lifestyle_Cultural_Classical accounted for 7.5% of the variance (adjusted R Square = 0.075). The inclusion of Lifestyle_Fashion in model 2 resulted in an additional 3.1`% of the variance explained. The inclusion of Lifestyle_Outdoor into model 3 resulted in an additional 2.8% of the variance explained (R Square change = 0.03). The whole model accounted for 13.4% of the variance in radio listening preference, which is highly significant, as indicated by the F-value of 21.635 in the ANOVA table below. ANOVAd Model Sum of Squares df Mean Square F Sig. 1 Regression 133.105 1 133.105 33.576 .000a Residual 1577.792 398 3.964 Total 1710.897 399 2 Regression 189.082 2 94.541 24.663 .000b Residual 1521.815 397 3.833 Total 1710.897 399 3 Regression 240.931 3 80.310 21.635 .000c Residual 1469.967 396 3.712 Total 1710.897 399 a. Predictors: (Constant), Lifestyle_Cultural_Classical b. Predictors: (Constant), Lifestyle_Cultural_Classical, Lifestyle_Fashion c. Predictors: (Constant), Lifestyle_Cultural_Classical, Lifestyle_Fashion, Lifestyle_Outdoor d. Dependent Variable: q3wf The ANOVA assess the overall significance of the model. As p Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 1.120 .267 Lifestyle_Cultural_Classical .384 .066 2 (Constant) 2.016 .352 5.732 Lifestyle_Cultural_Classical .444 .067 .323 6.625 Lifestyle_Fashion -.266 .070 -.186 -3.821 3 (Constant) 1.280 .398 3.213 Lifestyle_Cultural_Classical .452 .066 .329 6.856 Lifestyle_Fashion -.306 .069 -.214 -4.413 Lifestyle_Outdoor .221 .059 .176 3.737 Dependent Variable: q3wf Therefore the overall strength of the model in predicting lifestyle influence on radio listening preference for 6WF is as follow: Adjusted R square = .134; F3,396 = 21.635, p Predictor Variable Beta p Lifestyle_Cultural_Classical .329 p Lifestyle_Fashion -.214 p Lifestyle_Outdoor .176 p Radio Station: 96FM Variables Entered/Removeda Model Variables Entered Variables Removed dimension0 1 Lifestyle_Radio_Addicts . 2 Lifestyle_Tradition . 3 Lifestyle_Cultural_Classical . 4 Lifestyle_Conservative . 5 Lifestyle_Follower . 6 Lifestyle_Fashion . 7 Lifestyle_TV_Addicts . a. Dependent Variable: q396fm The table above shows us the order in which the variables were entered and removed from the model. Seven variables were added and none were removed. In addition, an examination of the Mahalanobis distance MAH_2 values had indicated that there are no multivariate outliers among the independent variables as there are no values that are greater than or equal to the critical chi square value of 13.8 at an alpha level of .001 (Coakes, Steed Ong 2010). Model Summaryh Model R R Square Adjusted R Square Std. Error of the Estimate Change Statistics R Square Change F Change df1 df2 dimension0 1 .273a .074 .072 2.448 .074 31.961 1 398 2 .365b .133 .129 2.371 .059 27.051 1 397 3 .417c .174 .168 2.318 .041 19.607 1 396 4 .449d .201 .193 2.282 .027 13.358 1 395 5 .468e .219 .209 2.260 .017 8.795 1 394 6 .479f .229 .218 2.248 .011 5.388 1 393 7 .488g .239 .225 2.237 .009 4.788 1 392 a. Predictors: (Constant), Lifestyle_Radio_Addicts b. Predictors: (Constant), Lifestyle_Radio_Addicts, Lifestyle_Tradition c. Predictors: (Constant), Lifestyle_Radio_Addicts, Lifestyle_Tradition, Lifestyle_Cultural_Classical d. Predictors: (Constant), Lifestyle_Radio_Addicts, Lifestyle_Tradition, Lifestyle_Cultural_Classical, Lifestyle_Conservative e. Predictors: (Constant), Lifestyle_Radio_Addicts, Lifestyle_Tradition, Lifestyle_Cultural_Classical, Lifestyle_Conservative, Lifestyle_Follower f. Predictors: (Constant), Lifestyle_Radio_Addicts, Lifestyle_Tradition, Lifestyle_Cultural_Classical, Lifestyle_Conservative, Lifestyle_Follower, Lifestyle_Fashion g. Predictors: (Constant), Lifestyle_Radio_Addicts, Lifestyle_Tradition, Lifestyle_Cultural_Classical, Lifestyle_Conservative, Lifestyle_Follower, Lifestyle_Fashion, Lifestyle_TV_Addicts h. Dependent Variable: q396fm Model 1, which included Lifestyle_Radio_Addicts accounted for 7.2% of the variance (Adjusted R Square 0.072). The inclusion of Lifestyle_Tradition into model 2 resulted in an additional 6% of the variance being explained (R Square Change = .059). The inclusion of Lifestyle_Cultural_Classical in model 3 resulted in an additional 4% of the variance being explained (R Square Change = .041). The inclusion of Lifestyle_Conservative in model 4 resulted in an additional 3% of the variance being explained (R Square Change = .027). The inclusion of Lifestyle_Follower in model 5 resulted in an additional 2% of variance explained (R Square Change = .017). The inclusion of Lifestyle_Fashion into model 6 resulted in an additional 1% of the variance explained (R Square Change = .011). Lastly, the inclusion of Lifestyle_TV_Addicts into model 7 resulted in an additional 1% of the variance explained (R Square Change = .009). The whole model accounted for 22.5% of the variance, which is highly signifi cant as indicated by the F-value of 17.547. ANOVAh Model Sum of Squares df Mean Square F 1 Regression 191.481 1 191.481 31.961 Residual 2384.479 398 5.991 Total 2575.960 399 2 Regression 343.593 2 171.797 30.552 Residual 2232.367 397 5.623 Total 2575.960 399 3 Regression 448.908 3 149.636 27.858 Residual 2127.052 396 5.371 Total 2575.960 399 4 Regression 518.486 4 129.622 24.885 Residual 2057.474 395 5.209 Total 2575.960 399 5 Regression 563.413 5 112.683 22.060 Residual 2012.547 394 5.108 Total 2575.960 399 6 Regression 590.630 6 98.438 19.486 Residual 1985.330 393 5.052 Total 2575.960 399 7 Regression 614.586 7 87.798 17.547 Residual 1961.374 392 5.004 Total 2575.960 399 a. Predictors: (Constant), Lifestyle_Radio_Addicts b. Predictors: (Constant), Lifestyle_Radio_Addicts, Lifestyle_Tradition c. Predictors: (Constant), Lifestyle_Radio_Addicts, Lifestyle_Tradition, Lifestyle_Cultural_Classical d. Predictors: (Constant), Lifestyle_Radio_Addicts, Lifestyle_Tradition, Lifestyle_Cultural_Classical, Lifestyle_Conservative e. Predictors: (Constant), Lifestyle_Radio_Addicts, Lifestyle_Tradition, Lifestyle_Cultural_Classical, Lifestyle_Conservative, Lifestyle_Follower f. Predictors: (Constant), Lifestyle_Radio_Addicts, Lifestyle_Tradition, Lifestyle_Cultural_Classical, Lifestyle_Conservative, Lifestyle_Follower, Lifestyle_Fashion g. Predictors: (Constant), Lifestyle_Radio_Addicts, Lifestyle_Tradition, Lifestyle_Cultural_Classical, Lifestyle_Conservative, Lifestyle_Follower, Lifestyle_Fashion, Lifestyle_TV_Addicts h. Dependent Variable: q396fm The ANOVA assess the overall significance of the model. As p Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) .534 .537 Lifestyle_Radio_Addicts .599 .106 2 (Constant) 1.858 .579 3.208 Lifestyle_Radio_Addicts .566 .103 .258 5.505 Lifestyle_Tradition -.346 .067 -.243 -5.201 3 (Constant) 3.021 .624 4.841 Lifestyle_Radio_Addicts .624 .101 .284 6.152 Lifestyle_Tradition -.390 .066 -.274 -5.921 Lifestyle_Cultural_Classical -.348 .079 -.206 -4.428 4 (Constant) 4.330 .711 6.088 Lifestyle_Radio_Addicts .651 .100 .296 6.503 Lifestyle_Tradition -.353 .066 -.248 -5.371 Lifestyle_Cultural_Classical -.292 .079 -.173 -3.696 Lifestyle_Conservative -.363 .099 -.170 -3.655 5 (Constant) 4.539 .708 6.413 Lifestyle_Radio_Addicts .723 .102 .329 7.084 Lifestyle_Tradition -.330 .065 -.232 -5.042 Lifestyle_Cultural_Classical -.312 .079 -.185 -3.975 Lifestyle_Conservative -.351 .098 -.164 -3.568 Lifestyle_Follower -.195 .066 -.137 -2.966 6 (Constant) 4.187 .720 5.815 Lifestyle_Radio_Addicts .679 .103 .309 6.567 Lifestyle_Tradition -.325 .065 -.228 -4.984 Lifestyle_Cultural_Classical -.351 .080 -.208 -4.394 Lifestyle_Conservative -.359 .098 -.168 -3.663 Lifestyle_Follower -.220 .066 -.155 -3.316 Lifestyle_Fashion .193 .083 .110 2.321 7 (Constant) 4.560 .737 6.191 Lifestyle_Radio_Addicts .666 .103 .303 6.463 Lifestyle_Tradition -.297 .066 -.208 -4.490 Lifestyle_Cultural_Classical -.360 .080 -.213 -4.525 Lifestyle_Conservative -.333 .098 -.156 -3.395 Lifestyle_Follower -.203 .067 -.143 -3.053 Lifestyle_Fashion .210 .083 .120 2.526 Lifestyle_TV_Addicts -.162 .074 -.101 -2.188 a. Dependent Variable: q396fm Therefore the overall strength of the model in predicting lifestyle influence on radio listening preference for 96FM is as follow: Adjusted R Square = .225, F7,392 = 17.547, p Predictor Variable Beta p Lifestyle_Radio_Addicts .303 p Lifestyle_Tradition -.208 p Lifestyle_Cultural_Classical -.213 p Lifestyle_Conservative -.156 p = 0.001 Lifestyle_Follower -.143 p = 0.002 Lifestyle_Fashion .120 p = 0.012 Lifestyle_TV_Addicts -.101 p = 0.029 The models representing both radio stations, 6WF and 96FM, are not a good model as they only explained 13.4% and 22.5% of the variance (R Square) in radio listening preference. Therefore, lifestyle can be seen as an insignificant predictor of radio listening preference. Therefore, the H0 will be rejected and H1 will be accepted and conclude that lifestyle does not influence radio listening preference. Conclusion: It is apparent that, the two radio stations, 6WF and 96FM, did not have distinct audiences with different lifestyle. This is a direct contrast to the previous research conducted by Soutar and Clarke (1983) that concluded lifestyle plays a role in influencing radio listening patterns. Therefore, the respective radio stations program manager need not have distinct radio programming policy to attract a different group of audiences. However, the research has indicated that lifestyle plays a more important role in predicting the radio listening preference for 96FM than 6WF because the model represented in the regression analysis managed to explained 22.5% of the variance, which is 9.1% more than the 6WFs model (13.4% of the variance explained). Bibliography Arjona, LD, Shah, R, Tinivelli, A Weiss, A 1998, Marketing to the Hispanic Consumer, The McKinsey Quarterly, vol. 1, no. 3. Cicia, G, Corduas, M, Del Giudice, T Piccolo, D 2010, Valuing Consumer Preferences with the CUB Model: A CaseStudy of Fair Trade Coffee, International Journal on Food System Dynamics, vol. 1, pp. 82-93. Coakes, SJ, Steed, L Ong, C 2010, SPSS Version 17.0 for Windows: Analysis without anguish, Wiley, Milton, Qld. Evans, S, Lawson, R Todd, S 2006, New Zealand in the 21st century: A consumer lifestyles study, NZ Post, Loyalty NZ, University of Otago Fitzgerald, J 2004, Evaluating Return on Investment of Multimedia Advertising with a Single-Source Panel: A Retail Case Study, Journal of Advertising Research, vol. 44, no. 3, pp. 262-270. Available from: ufh. Gatfield, T 2006, Community Radio Broadcasting and Positioning an Australian Perspective, Marketing Review, vol. 6, no. 2, pp. 183-189. Available from: buh. Hair Jr, JF, Black, WC, Babin, BJ Anderson, RE 2010, Multivarate Data Analysis: A Global Perspective, Seven edn, Pearson, Upper Saddle River, New Jersey. Kent, R 1994, Measuring Media Audiences, Routledge, London. Leung, L, Fung, AYH Lee, PSN 2009, Embedding into out lives: New opportunities and challenges of the internet, The Chinese University Press, NT, Hong Kong. Li, S-CS 2004, Examining the factors that influence the intentions to adopt internet shopping and cable television shopping in Taiwan, New Media Society, vol. 6, no. 2, pp. 173-193. Massy, WF 1971, Discriminant Analysis of Audience Characteristics, in Multivariate Analysis in Marketing, ed. D Aaker, Wadsworth, California. Soutar, JN Clarke, YM 1983, LIFE STYLE AND RADIO LISTENING PATTERNS IN PERTH, WESTERN AUSTRALIA, Australian Journal of Management, vol. 8, no. 1, p. 71. Available from: buh. Appendix 1 AIO Questionnaire

Friday, January 17, 2020

A Technological Advancement in European’s Rural Communities

Throughout the economic reforms of the 18th and 19th centuries life for the peasantry moved from one ill to another. The turbulent economic changes that marked this period would benefit the lifestyle of one generation only to completely impoverish the next. It wasn't until the latter part of the 19th century that the standard of living for the average citizen moved toward what could be considered comfortable. In the early part of the 1700s the majority of Europeans were living in rural communities of no larger than 1000 people. Their lives focused only on survival. They would farm small plots of a larger field, the right for which they would often have to pay a considerable amount of their income as rent to the landholder. In most cases, for warmth they would sleep under the same roof as their animals, and heating sources usually consisted of wood, peat or dung, but very rarely coal. While this lifestyle is harsh it had its benefits. Due to the fact that one field would be cultivated by a large portion of the community, decisions on the crop rotation would have to be determined as a community. This provided the peasant with some modicum of freedom. When landholders started enclosing fields, and began cultivating them for profit, it devastated millions. Suddenly they had no immediate source of food nor a place to graze their animals. The immediate effect was wide spread starvation. The long-term result was that with the efficient management of fields, and the introduction of new crops, like the potato, food became more abundant. This instituted a population boom throughout most European nations. With the introduction of the putting-out system by many merchants, as a means to circumvent guild control over the manufacture of goods, peasants were able to support themselves. With their newfound work, and the increased abundance of food they were finally able to feel secure in their livelihoods. This was just the calm before the storm. The growing desire among the bourgeoisie for financial gain paired with new technological advances made the putting-out system inefficient. Shifts in production were made toward small workshops or larger factories. Over time the demand for rural industry decreased to the point where many were accepting next to nothing for their goods. It became virtually impossible for the peasantry to make a living in rural communities. They were increasingly forced to move to cities where they could find factory work. Liverpool, for example, grew by 250 percent between 1600 and 1750. With even further advances in factory mechanization, hundreds of thousands of jobs became â€Å"obsolete†. After all, if you have a machine that can do the job of one hundred men, why pay one hundred men? Once again there was a widespread loss of jobs. Public opinion on poverty at the time did nothing to help the situation either. The poor were grouped into two categories: the deserving and the undeserving. The deserving consisted of children, the elderly and the crippled. The undeserving were healthy men and women who either were unable to find work. The attitude was that it was their fault they were poor, and thus they were treated as little better than criminals. It wasn't until the advent of the railroad that things really started looking up for the average citizen. The sheer amount of work required in the construction of a railroad alone provided many with work. In addition, it now became cheap to transport metal, and other heavy raw supplies for the manufacture of goods. This not only dropped the price of commodities, but also spurred industry to an even greater extent. I feel it evident that these economic reforms consistently threw the lives of the average citizen into upheaval. We must not overlook, however, the ultimate good this period did for the world. Were it not for the willingness of those early capitalists to take advantage of the peasantry as they did, we would all likely be farming a small plot of land and heating or homes with dung.

Thursday, January 9, 2020

The Lottery, By Shirley Jackson - 1510 Words

Shirley Jackson’s â€Å"The Lottery† illustrates several aspects of the darker side of human nature. The townspeople in Jackson’s â€Å"The Lottery† unquestioningly adhere to a tradition which seems to have lost its relevance in their lives. The ritual that is the lottery shows how easily and willingly people will give up their free will and suspend their consciences to conform to tradition and people in authority. The same mindless complacency and obedience shown by the villagers in Jackson’s story are seen in human behavior throughout history and are still visible in current events seen today. Religion and higher authority are able to convince people to commit horrendous crimes against other human beings without hesitation or guilt. In religion, rituals can be a substitute for taking responsibility for one’s actions or thinking for oneself. The behavior shown by the villagers can also be compared to human beings cruel enjoyment of the suffe ring of other human beings. This side of human nature dates back to the scapegoat method used during the Biblical times (Whittier 351). â€Å"The Lottery† is more of a hypocritical tradition than a ritual at the point we witness in the story, but out of respect and fear for tradition, the townsfolk are more than willing to commit an act of mass violence as a scapegoat method, simply for the sake of a tradition. There are several themes that take place in â€Å"The Lottery†, but the most valuable would be the importance of rituals and traditions. ShirleyShow MoreRelatedThe Lottery, By Shirley Jackson1195 Words   |  5 PagesOn the surface, Shirley Jackson’s short story, â€Å"The Lottery,† reads as a work of horror. There is a village that holds an annual lottery where the winner is stoned to death so the village and its people could prosper. Some underlying themes include: the idea that faith and tradition are often followed blindly, and those who veer away from tradition are met with punishment, as well as the idea of a herd mentality and bystander apathy. What the author manages to do successfully is that she actuallyRead MoreThe Lottery by Shirley Jackson757 Words   |  4 Pagessucceed but many fail just like the main character Tessie Hutchinson in Shirley Jackson’s short story â€Å"The Lottery†. When someone hears the word â€Å"lottery†, h e or she may think that someone will be rewarded with prize. But â€Å"The Lottery† By Shirley Jackson is different than what one thinks. In the story, a lottery is going to be conducted not like Mega Million or Powerball one play here. In the story, the person who wins the lottery is stoned to death instead of being rewarded with the prize. TessieRead MoreThe Lottery By Shirley Jackson931 Words   |  4 PagesIn 1948 Shirley Jackson composed the controversial short story â€Å"The Lottery.† Generally speaking, a title such as â€Å"The Lottery† is usually affiliated with an optimistic outlook. However, Jackson’s approach is quite unorthodox and will surely leave readers contemplating the intent of her content. The story exposes a crude, senseless lottery system in which random villagers are murdered amongst their peers. Essentially, the lottery system counteracts as a form of population control, but negatives easilyRead MoreThe Lottery By Shirley Jacks on1504 Words   |  7 Pagesâ€Å"The Lottery† by Shirley Jackson In The Lottery Shirley Jackson fills her story with many literary elements to mask the evil. The story demonstrates how it is in human nature to blindly follow traditions. Even though some people have no idea why they follow these traditions. The title of the story plays a role in how Shirley Jackson used some literary elements to help mask the evils and develop the story. The title â€Å"The Lottery† serves as an allegory. When people think of the lottery majorityRead More`` The Lottery `` By Shirley Jackson894 Words   |  4 Pagesshort story â€Å"The Lottery†, author Shirley Jackson demonstrates Zimbardo’s concepts in three different areas: Authority figures, Tradition and Superstition, and Loyalty. The first concept Jackson portrays in â€Å"The Lottery† is the authority figures. Jackson indicates that the lottery is being held in the town center by one authority figure, Mr. Summers, annually on June 27th. Every June 27th, without fail, townspeople gather in the town square to participate in the annually lottery even though mostRead MoreThe Lottery By Shirley Jackson811 Words   |  4 Pagesâ€Å"The Lottery† was published by Shirley Jackson. The story was true expression of Jackson’s genuine thoughts about human beings and their heinous competence in an annual village event for corn harvest . First, her used to word symbolized main point of the story. Second, Jackson was inspired by few historical events happened in the past and a life incident in her life. Lastly, She was able to accomplish the connection between historical and biographical with the story. Therefore, Shirley Jackson’sRead MoreThe Lottery By Shirley Jackson934 Words   |  4 Pagesâ€Å"The Lottery† by Shirley Jackson signifies the physical connection between the villagers and their unwillingness to give up their tradition. â€Å"The Lottery† is very unpredictable and quite misleading. The black box has no functionality, except every June 27th. Shirley Jackson depicts the black box as an important and traditional tool. Although the villagers in â€Å"The Lottery† are terrified of the goal of the lottery and the black box, they are unwilling to let go of the tradition. Shirley Jackson portraysRead MoreThe Lottery by Shirley Jackson799 Words   |  4 Pagesthe mood and to foreshadow of things to come. The Lottery by Shirley Jackson is a story in which the setting sets up the reader to think of positive outcomes. However, this description of the setting foreshadows exactly the opposite of what is to come. In addition, the theme that we learn of at the end leads us to think of where the sanity of some human beings lies. The story begins with the establishment of the setting. To begin, Shirley Jackson tells the reader what time of day and what time ofRead MoreThe Lottery by Shirley Jackson1764 Words   |  7 Pagesfilled with excitement and eeriness, leaving the reader speechless. The Lottery , a short story written by famous writer Shirley Jackson, created an uproar on June 26, 1948, when it was published in the magazine The New Yorker (Ball). The gothic thriller, set in an unknown time and place, shares the tradition of a small town, a little larger than three hundred people, in which a drawing is held once a year. In this â€Å"Lottery,† each family’s husband draws a slip of paper from a black box. The husbandRead MoreThe Lottery By Shirley Jackson1391 Words   |  6 PagesMarina Grishechkina Professor Abbott English 126 April 6, 2016 â€Å"The Lottery† by Shirley Jackson â€Å"The Lottery† introduces the reader to a cruel ritual of the village where people gather together to participate in the annual elimination of a random villager. Superficially friendly mood in the town at the beginning of the story was replaced by hostile and violent human behavior at the end. Warm and sunny summer morning did

Wednesday, January 1, 2020

Essay about Arab Nationalism - 778 Words

Arab Nationalism Arab nationalism is defined as the idea that Arabs constitute a single distinctive nation united by a history and common language of Arabic. It is the quest for a national identity and struggle for political power in the Fertile Cresent. Arab nationalism is a fairly new concept; it’s only about one hundred years old. It did not really develop until after world war one. It is basically he result of three major influenced: 1.) The breakup of the Ottoman Empire after world war one and the emergence of modern states that no longer shared a common religiously rooted ideology that was Islamic based and religiously sociopolitical order. 2.) The intensified struggle for independence from political and†¦show more content†¦Hussein was the Turkish appointed governor of the Hijaz province of Arabia. He launched the Arab fight for freedom in June of 1916, with his Bedouin warriors stormed the Turkish garrison groups in Mecca. Hussein’s next move was to seek help of the British; he needed their moral support, money and fighting equipment. It was of the British’s benefit to provide this help seeing as the British and Arab’s had common enemy so they agreed to cooperate. Hussein dreamed of one day becoming the ruler of the Arab world, which included the Arabian Peninsula, and what is now modern day Syria, Israel, Jordan, Lebanon and Iraq. The Arab leader wanted the British to recognize this ambition in exchange for fighting a common foe. On this matter the British disagreed since they felt parts of Syria were outside Arab domain. Since it was more important for the British to have the Arab s as fighting allies they supported Hussein. He proclaimed himself king of the Arabs in Mecca. He had the support of the British and the recognition of France of him being king. The revolt spread throughout the peninsula. Arab troops, mostly Bedouins were led by Hussein’s son Faisal. They were aided by the British adventurer, T.E. Lawrence also known as Lawrence of Arabia. In October of 1918 the Turks admitted defeat. After five centuries of Ottoman rule it seemed as though the Arabs were free. The question wasShow MoreRelatedReasons For Arab Nationalism Failed1999 Words   |  8 PagesArab Nationalism is an ideology which was prominent in the 19th century, as Arab nations began to gain independence from colonial powers. The foundations of Arab Nationalism are based on the notions of political, cultural, religious and historical unity amongst Arab nations. One of the fundamental goals of Arab Nationalism was to see the end of western powers in the Arab region, and the removal of those Arab governments who were seen too dependent on western power. The rise of Arab nationalism cameRead MoreGrowth of Arab Nationalism1085 Words   |  5 PagesArab nationalism was a movement striving for Arab political unity in the Middle East. There was undoubtedly a huge increase in an Arab sense of nationalism between the years 1948 and 1973. One major reason for this was the creation of the State of Israel in 1948, which gave the Arab powers something to unite against, because not a single Arab nation recognised Israel as a legitimate state. There were other reasons, however, most notably the continuing struggle of the Palestinian people and the PalestinianRead MoreThe Rise Of Zionism And Arab Nationalism1407 Words   |  6 PagesThe rise of Zionism and Arab Nationalism in the nineteenth century triggered major political tensions in the region of Palestine. The conflict among the Zionists and Arab Nationalists is primarily due to the politics of territory and is essentially not comprised of religious opposition. In fact, before the advent of Zionism and Arab Nationalism, Jews and Palestinians shared a local identity due to mutual toleranc es. 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