'Health drinks Essay\r'

'In India Consumers mien towards leveraging of food salute products interchangeable drinking be changing due to scotch and personal promoters. Once if we comp ar live five years the prices of beverage products, it could be noted that in that respect is an outgrowth. The major(ip) reasons for the increase in the sales of food drinks argon due to the increased consumption take among the customers. On an average an individual would pick out these products two to three multiplication in a day.\r\nMoreover, the prices were also designed in such(prenominal) a manner by the manufacturers making it possible so that all(prenominal) consumer from different segment based on their demographic and geographical patterns could be able to actualize the bribe. In effect it catchs the consumers at large to opt for non-branded and cheap products that are available in the marketplace. This work was undertaken with an physical object to identify the pattern of buy by the consumers, f actors that get the hang and model the consumers to leveraging the products and at last the impact of demographic factors on the leveraging of wellness food drinks consumption in the regard knowledge domain.\r\nThe study clearly shows that demographic factors kindred sex, place of grease mavins palms are largely influence the consumers while they buy beverage products in the shops. Clanging consumerism is the biggest factor that plays a major role as for as consumers purchase behavior is concern. KEYWORDS wellness regimen and Soft Drinks, Demographic Factors, leveraging, Beverages, Consumer Behaviour, Corporate, Leverage, Consumerism, Consumption. introduction Changing consumer behaviour is the biggest challenge for any(prenominal) corporate beverage companies especially for companies like Tata, ITC and so forth This is mainly due factors that influence the consumers while purchasing beverage products.\r\nFor instance, factors such as offers, discount etc. , practi callytimes increase the purchase. health food drink products like beverages (hot and cold) are major items that consumer purchase as they consume beverage products not less than two to three times a day. According to the consumers demographic factors like sexual practice, Age, Educational berth, Marital Status, Occupation, Domicile, and Shopping Destinations often influence consumers while purchasing wellness food drink products. SCOPE OF THE analyse The study aims to find the customer preferences towards health food drink products.\r\nIt has been carried out for plosive consonant of 2 months focusing all sheath of consumers. It was restricted to learning regarding the demographic profile of the consumers and questions regarding four P’s of merchandise marionettes. OBJECTIVES OF RESEARCH To understand the overall purchase pattern of the beverages by the consumers. To identify the aim of influence various factor dominate the consumers. To have an insight about prepu rchase behavior of consumers. To understand the impact of demographic factors of consumers upon purchase beverage products.\r\nRESEARCH DESIGN A look into design is process of accrual and analysis of entropy in a manner that aims to combine relevance to the interrogation purpose with economic aspect snarly in mind. A look is stringently and simply the framework and a mean for the study that guides the collection and analysis of selective information. It is a blue print followed in finish a study which contains the steps as: look is an art of scientific investigation. question is a process of systemic study. Research is a search of knowledge. Research is an nation of investigation which includes collection, analysis and interpretation of data.\r\nResearch has to proceed systematically in the already planned direction with the inspection and repair of a number of steps in sequence. To make the research systemized the tec has to adopt veri turn off methods. The method ado pted by the researcher for completing the project is called Research Methodology. selective information prayer METHODOLOGY AND Data refers to information or facts. It is not only refers numeral figures but also include descriptive facts.\r\nThe method of data collection includes two types for the study, such as primary data and secondary data. PRIMARY information prayer METHOD The primary was collected with the uphold of a structured questionnaire directly from consumers by personal interrogate.\r\nThe questionnaire contains questions that suit the objectives of the study. The questions will help to draw the information A say On Consumers Buying Habits Towards Health sustenance Drink Products In capital of Oregon regulate Tamilnadu †Mr. P. Arun relating to purchase pattern of beverage products by the consumers. The Primary data was collected with a set of specific objective to quantify the current status of variants considered for the study. Primary data is useful a nd applicable only for a specific time. and previous reports, magazines, sales vouchers etc.\r\nDATA ANALYSIS AND INTERPRETATION MULTI-DISCRIMINANT drop dead ANALYSIS METHODS OF PRIMARY DATA COLLECTION The performance of buying behaviour varies by the different stages of influence. In the study area out of 106 respondents divided into two groups, one is low direct of influencer and high coach train of influencer. For the purpose of the study 7 variables were selected. Although there are several methods are existence employ for collecting primary data, questionnaire and interview methods has been employed in this study.\r\nSECONDARY DATA sexual urge Age Educational Status Marital Status Occupation dungeon quad Place of Shopping It was used mainly to support the primary data. tributary data was collected from sources such as through and through books, annual reports, signifi screwt, available literatures from government activity TABLE no(prenominal) 1 †sum-up TABLE BE TWEEN LOW INFLUENCER AND senior high INFLUENCER assemblageS STEP 1. 2. VARIABLE ENTERED Gender Place of purchase WILK’S LAMBDA 0. 955 0. 909 MINIMUM D2 importation 0. 222 0. 471 ** * *.\r\n monumental at 1% level, ** Significant at 5% level, TABLE No. 2. †CA noICAL DISCRIMINANT FUNCTION CA no.ICAL correlativity 0. 302 WILKS LAMBDA 0. 909 The canonical correlation is 0. 302 when squared is 0. 091 that is 9. 1% of the variance in the discriminant group can be accounted for by this model, Wilk’s Lambda and chi-square revalue suggest that D. F. is significant at 1% level. The variables habituated above are CHISQUARE 9. 711 D. F.\r\nSIG 2 Significant at 1% level identified finally by the D. F. A. as the eligible discriminating variables. Based on the selected variables the corresponding D. F. coefficients are calculated. They are given in the avocation remit. TABLE nary(prenominal) 3: DISCRIMINANT FUNCTION COEFFICIENTS Namex world-wide diary of Management Re search 33 Vol. 2, divulge No. 2, July †declination 2012. A involve On Consumers Buying Habits Towards Health food for thought Drink Products In capital of Oregon zone Tamilnadu †Mr. P. Arun.\r\nVARIABLES COEFFICIENTS 1. 812 0. 777 4. 635 Gender Place of Purchase perpetual The equation is: Z = †4. 635+ 1. 812 (Gender) + 0. 777 (Place of purchase) The discriminating military force or the contribution of each variable to the function can sufficiently. For this consider the following table. TABLE No. 4- RELATIVE severalize INDEX FACTORS Gender Place of Purchase assemblage 1 MEAN X1 1. 58 2. 90 GROUP2 MEAN X2 UNSTANDARDIZED DIC. COEFF. (kj) 1. 35 2. 55 1. 812 0. 777 Ij = ABS (Kj) MEAN (Xjo †x ji) 1. 24 0. 29 1. 53 Total Rj = Ij / sum Ij j*100 81. 0 19. 0 100. 0 This reclassification is called predictor group membership.\r\nIn short, the talent of the D. F. is how correctly it predicts the respondents into respective(prenominal) groups. TABLE NO. 5 †CLA SSIFICATION RESULTS PREDICTED GROUP social status ACTUAL GROUP No. OF CASES GROUP I gathering 1 (Low Influencer) Group 2 (High Influencer) 20 (64. 5%) 31 (41. 9%) 31 74 GROUP II 11 (35. 5%) 43 (58. 1%) Percent of grouped cases correctly classify: 60. 0%. The above table gives the results of the reclassification. The function, using the variables selected in the analysis classified 60. 0% of the cases correctly in the respective groups. low and high influencer. The following factors significantly\r\ndiscriminate the two influencer groups. They are: Gender (at 5% level) Place of purchase (at 1% level) Discriminate function analysis was apply to the respondents based on the TABLE NO. 6: DEMOGRAPHIC PROFILE OF RESPONDENTS (N=106) pointedness GENDER Male Female person matrimonial placement Single Married itemise Namex International daybook of Management Research PERCENTAGE 61 45 58. 00 42. 00 21 84 19. 88 79. 25 34 Vol. 2, materialization No. 2, July †December 2012. A ta ke up On Consumers Buying Habits Towards Health Food Drink Products In capital of Oregon territory Tamilnadu †Mr. P. Arun Widow EDUCATIONAL STATUS Elementary cultivate High School Graduate\r\nPost Graduate doctorial Degree OCCUPATION Professional prole Business Retired Staff House wife PLACE Salem Omalur Mecheri Mettur Dam Kolathur The dedicate study is related to consumers’ behaviour on health food drinks in Salem area. In the constituted sample surface of 106 respondents it was found there were 61. 33% professionals, 04. 71% workers, 30. 18% businessmen, 0. 94% retired staff and 02. 83% house wife. The distributions of consumers were found to be from locations such as Salem, Omalur, Mecheri, Mettur Dam and Kolathur. From the above table it could be seen that 34. 91 % of consumers were from Kolathur, 31.\r\n33% of consumers were from Mettur 01 0. 94 09 12 23 55 04 08. 49 11. 33 21. 69 51. 89 03. 78 65 05 32 01 03 61. 33 04. 71 30. 18 0. 94 02. 83 25 01 10 33 37 2 3. 59 09. 44 09. 44 31. 33 34. 91 doctoral. With respect to the occupation of the respondents was concerned, 61. 33% were professional, 30. 18 were business person and remaining 6% were worker, retired staff and house wives. STATISTICAL TOOLS employ The primary data collected through interview schedule from 106 respondents. The statistical tool applied is multi discriminant analyses were used for this study.\r\nFINDINGS Dam, 23. 59% of consumers were from Salem City, 9. 44% of consumers were from Mecheri and the remaining 0. 94% of consumers were from Omalur. The gender distributions of consumers in the study, it is noted 58% of the respondents were male and the remaining 42% were female. As for as education qualification of the consumer was concerned, there were 51. 89% post graduate, 21. 69% graduate, 11. 33% high school level, 8. 49% elementary school level and the remaining 3. 78% Namex International Journal of Management Research The study shows the following findings. It†™s clearly shows that the on a lower floor gender and place were significantly differed:\r\nGender (at 5% level) Place of purchase (at 1% level) CONCLUSION The study clearly shows that demographic factors like gender, place 35 Vol. 2, Issue No. 2, July †December 2012. A Study On Consumers Buying Habits Towards Health Food Drink Products In Salem District Tamilnadu †Mr. P. Arun of purchase are largely influence the consumers while they purchase beverage products in the shops. Clanging consumerism is the biggest factor that plays a major role as for as consumers purchase behavior is concern. REFERENCES Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence Of Overweight.\r\nAnd Obesity In The United States, 1999â€2004. JAMA. 2006; 295(13):1549â€1555. [PubMed] The Surgeon General’s Call to Action to Prevent and minify Overweight and Obesity 2001. Rockville, MD: ability of the Surgeon General, Public Health Service, US Dept of Health and Human Services; 2001. Flegal KM, Graubard BI, Williamson DF, Gail MH. overindulgence deaths associated with underweight, gravid, and corpulency. JAMA. 2005; 293(15):1861â€1867. [PubMed]. Mokdad AH, Marks JS, Stroup DF, Gerberding JL. Actual causes of death in the United States, 2000. JAMA. 2004; 291(10):1238â€1245. [PubMed]. Hedley AA, Ogden CL, Johnson CI, Carroll MD, Curtin LR, Flegal KM.\r\nPrevalence of overweight and obesity among US children, adolescents, and adults, 1999†2002. JAMA. 2004; 291(23):2847â€2850. [PubMed]. National Initiative for youngsterren’s Healthcare Quality. Expert Committee recommendations on assessment, prevention, and treatment of child and adolescent overweight and obesity 2007. [Accessed January 27, 2008]. http://www. amaassn. org/ama1/pub/upload/mm/43 3/ped_obesity_recs. pdf. Johnston FE. Health implications of childishness obesity. Ann Intern Med. 1985; 103(6, pt 2):1068†1072. [PubMed].\r\nNamex International Journal of Management Research Serdula MK, Iver D, Coates RJ, Freedman DS, Williamson DF, Byers T. Do Obese Children Become Obese Adults? A review of the literature. Prev Med. 1993; 22(2):167â€177. [PubMed]. Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight And Obesity In The United States: Prevalence And Trends, 1960†1994. Int. J. Obes. Relat Metab Disord. 1998; 22(1):39â€47. [PubMed]. Sellers K, Russo T, baker I, Dennison B. The Role Of Childcare Providers In The bar Of Childhood Overweight. J Early Child Res. 2005; 3(3):227â€242. WEBSIGHTS www. yahoo. com. www. google. com. www. hul. co. in. 36 Vol. 2, Issue No. 2, July †December 2012.\r\n'