References: Ghadar‚ F. 2005‚ "Population -Shifting demographics"‚ Industrial Management‚ vol. 47‚ no. 5‚ pp. 8-13 Gumbel‚ P Johnny Diaz (2012)‚ “Advertising ’s looking more like us”‚ McClatchy - Tribune Information Services‚ Washington Madalina‚ T Martins‚ J.M. & Brooks‚ G. 2010‚ "Teaching Consumer Demographics to Marketing Students"‚ Population Research and Policy Review‚ vol. 29‚ no. 1‚ pp. 81-92 Morag Cuddeford Jones 2012‚ "Cool
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online registration service that was recently offered in a private university in Northern California. During the first year‚ about 31% of the students who pre-registered their courses used the service. The results indicated that academic and demographic factors affected students’ use of the online service. For example‚ students from certain disciplines (e.g. Pharmacy and International Studies) and high income families were more likely to use the online service. It is interesting to notice that
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Executive summary The Ford Ka cannot be marketed to a specific demographic segment‚ as defined by traditional variables such as income‚ age‚ or marital status. Willingness to purchase the Ka was for the most part not dependent on membership in these traditional segments. Alternatively‚ we propose Ford develop a campaign toward a certain segment defined by attitudinal and psychographic variables. We plan to target this segment with tailored advertising campaigns addressing their unique worldview‚
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in family purchase decision making in India and the West: A review. 2. Beatty‚ S.E.‚ and S. Talpade‚ 1994. Adolescent influence in family decision making: A replication with extension 3. McNeal.‚ J‚ 1998. Tapping the three kids markets. American Demographics.‚ 20 (4): 39-41. 4. Lindstrom‚ M.‚ and P.B.‚ Seybold‚ 2000. Brand child. Kogan Page‚ London‚ pp:1 5 6. Caruana‚ A.‚ and R. Vassallo‚ 2003. Children’s perception of their influence over purchases: the role of parental communication patterns 7. Chan
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Luke’s House is a small primary care clinic that provides free‚ basic services to patients without a primary care provider. Most of the clinic’s patients are people who would otherwise have gone to the ER or not received care at all. The mission of Luke’s House is “to be a place of medical and spiritual hope‚ health and healing for the people of Greater New Orleans‚ to provide patient centered experiences for students‚ and to open a doorway to long-term healthcare solutions.” The clinic is in a low-income
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the restaurant needs a larger capacity and the dinner crowd could use fifty more in it ’s capacity so the move seems like a logical thing. The major problem facing them is the have to move relatively close in not only distance but demographics as well to maintain their customer base. So the major question facing Savors is how far will people travel and if you increase prices to make this expansion plus will your customer buy into it. Problem Identification The current
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Comparative Analysis of Depression among Housewives and Working Women in Bilal Colony of Kornagi Area Karachi Riaz. H. Soomro (Corresponding Author) Assistant Professor Hamdard Institute of Management Sciences and PhD Research Scholar in Hamdard Institute of Education and Social Sciences Hamdard University Karachi‚ Pakistan. Dr. Fozia Riaz MBA Graduate Institute of Health Management Dow University of Health Sciences Karachi‚ Pakistan Shahid Naved Assistant Professor Hamdard Institute
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changes to be able to survive with the increasing liabilities caused by older employees. Companies must also scrutinize their marketing strategies‚ so that they will be ready for the new powerful consumer generation‚ the seniors. The changing demographics will have a major impact on the consumption patterns as the world`s population ages. For example‚ the age cohort people older than 65 will double to 1 billion over the next 20 years (United Nations Population Division 2010). It is estimated that
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variations are discussed. The first (segmentation variation) relies on interaction-based classification of users into lifestyle segments‚ while the second (similarities variation) is based on the identification of similarities among users based on demographic and TV program preferences data. In both variations‚ the user’s interest is predicted by aggregating lifestyle neighbors’ preferences. Results from an empirical validation‚ in the form of a laboratory experiment‚ are also presented in order to provide
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