Brand Advertising as Creative Pubiicity ANDREW EHRENBERG South Bank University ehrenba@sbu.ac.uk NEIL BARNARD South Bank University RACHEL KENNEDY University of South Australia HELEN BLOOM Consultant HelenBloom@ compuserve.com Our view of brand advertising is that it mostly serves to publicize the advertised brand. Advertising seldom seems to persuade. Advertising in a competitive market needs to maintain the brand’s broad salience—being a brand the consumer buys or considers buying. This turns
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Samantha Mehalick 1984 Propaganda Research Paper Mrs. McCarthy Honors English Period 4 June 3rd‚ 2013 George Orwell wrote the book 1984 as a warning to the people in the future. Orwell opened the people’s eyes to the way the government controls the people by torture and control of information and language. Also‚ the government controls by war and fear‚ brainwashing‚ propaganda‚ and several other evils. One of the major ways the government controlled the people in the book was by propaganda
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built‚ who lived in it‚ or any tragedy. Imagine building a house without at blue print and it kept on changing and getting bigger everyday. That ’s what Sarah Winchester did until her death in 1922. Her home had grown to 160 rooms‚ 40 bedrooms‚47 (Marck‚ n.d.) fireplaces‚ 17 chimneys‚ 950 doors‚ staircases that go nowhere‚ and cabinets that are the sole entry to entire wings. We might have some movies that is similar to the Winchester ’s house like “The Haunting” and “Rose Red” It all started with
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comparing these ideals to the Hebrew bible‚ they both differ majorly. In the Hebrew Bible‚ they believe in the concept she-ol. She-ol is a place of darkness which all the dead go- the righteous and unrighteous regardless of the choices they made in life. She-ol is a place of darkness and stillness cut off from the Hebrew God. This differs from the Hebrew Bibles view on she-ol because in 2 Maccabees 7:1-42‚ we witness Hannah and her Seven Sons being hopeful of an afterlife together. “The effect of
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Submitted To: NAUMAN BIN ARIF Submitted By : SHAJEE AHMED & AZIZ UR REHMAN ID:111820142 && 111820229 Section : X ASSIGNMENT No : 3 INTRODUCTION TO BUSINESS The Islamic calendar‚ Muslim calendar or Hijri calendar AH is a lunar calendar consisting of 12 months in a year of 354 or 355 days. Being a purely lunar calendar‚ it is not synchronized with the seasons. With an annual drift of 10 or 11 days‚ the seasonal relation repeats about every 33 Islamic years every 32 solar years
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cycle is used as measure of working capital management. This study is used panel data of 1628 firm-year for the period of 1996-2006 that consist of six different economic sectors which are listed in Bursa Malaysia. The coefficient results of Pooled OLS regression analysis provide a strong negative significant relationship between cash conversion cycle and firm profitability. This reveals that reducing cash conversion period results to profitability increase. Thus‚ in purpose to create shareholder
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p-value 0.0000 4. Since the covariance of SCORE and PRICE (2.07298126) is positive‚ it indicates a positive relationship. 5. (i) (ii) This model assumes that the direction of causation is from SCORE to PRICE. 6. (0.975876) (0.548629) Model 1: OLS‚ using observations 1-324 Dependent variable: PRICE Coefficient Std. Error t-ratio p-value const 8.68833 0.975876 8.9031 <0.00001 *** SCORE 7.60146
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<ol><li>The physical makeup of Neptune is very gaseous‚ it consists mainly of hydrogen and helium but about 2.5-3% of the planet is methane. <br><li>The Voyager2 spacecraft reached Neptune in 1989 and observed a dark storm system with a bright core of feathery clouds. Wind speeds on Neptune reach 325 meters per a sec (700 mph)‚ moving in a retrograde direction that is opposite to the direction of its rotation. These are the strongest retrograde winds seen on any planet in the solar system.<br><li>Neptune’s
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smallest and largest being $100‚000 and $5‚299‚000‚000‚ respectively. Another most interesting variable is sales with the average being $3‚5329‚463‚000‚ and its the smallest and largest being $29‚000 and $51‚300‚000. Using the data set‚ the following OLS regression is obtained: (1) . ˆ lnsalary = 4.58 + 0.192.lnsales + 0.094.lnmktval + 0.017.ceoten − 0.009comten 0.253 .0398 0..0489 0.0055 0.0033 reg lnsalary lnsales lnmktval ceoten comten Source Model Residual Total ln_salary ln_sales ln_mktval
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1. Interpreting the regression results obtained by pooled OLS method log (rentit) = β0 + β1*log (popit) + β2*log (avgincit) + β3*pctstuit + δ*y90t + αi +uit log = -1.500 + 0.407*log (pop) + 0.571*log (avginc) + 0.005*pctstu + 0.262*y90 se = (0.535) (0.023) (0.053) (0.001) (0.348) t = (-1.06) (1.81) (10.76) (4.95) (7.54) p = (0.073) (0.009) (0
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