Health drinks Essay

In India Consumers behavior towards acquire of food drink products like drinking ar changing due to economic and personal federal agents. Once if we compargon last five geezerhood the prices of beverage products, it could be noned that on that point is an increase. The major reasons for the increase in the sales of food drinks are due to the increased consumption level among the customers. On an average an individual would consume these products two to ternary times in a day.Moreover, the prices were as well designed in much(prenominal) a manner by the manufacturers making it possible so that every consumer from different segment based on their demographic and geographic purposes could be able to make the purchase. In effect it governs the consumers at large to opt for non-branded and cheap products that are available in the marketplace. This work was undertaken with an object to identify the pattern of purchase by the consumers, factors that dominate and fascinate the co nsumers to purchase the products and lastly the impact of demographic factors on the purchase of health food drinks consumption in the study area.The study clearly shows that demographic factors like sexual activity, place of purchase are largely forge 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. KEYWORDS health nourishment and Soft soak ups, Demographic Factors, Purchase, Beverages, Consumer Behaviour, Corporate, Leverage, Consumerism, Consumption. INTRODUCTION Changing consumer behavior is the biggest challenge for any corporate beverage companies especially for companies like Tata, ITC etc. This is mainly due factors that influence the consumers while purchasing beverage products.For instance, factors such as offers, discount etc. , often 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 Gender, Age, Educational Status, marital Status, Occupation, Domicile, and Shopping Destinations often influence consumers while purchasing health food drink products. SCOPE OF THE take aim The study aims to find the customer preferences towards health food drink products.It has been carried out for period of 2 months guidance all type of consumers. It was restricted to information regarding the demographic profile of the consumers and questions regarding four Ps of merchandise tools. OBJECTIVES OF RESEARCH To understand the overall purchase pattern of the beverages by the consumers. To identify the level of influence dissimilar factor dominate the consumers. To have an insight about prepurchase behavior of consumers. To understand the impact of demographic factors of consumers upon purchase beverage products.RESEARCH DESIGN A Re seek d esign is process of assemblage and analysis of entropy in a manner that aims to combine relevance to the research purpose with economic aspect composite in mind. A question is purely and simply the framework and a plan for the study that guides the collection and analysis of information. It is a blue print followed in completing a study which contains the steps as Research is an art of scientific investigation. Research is a process of systemic study. Research is a search of knowledge. Research is an area of investigation which includes collection, analysis and interpretation of data.Research has to proceed systematically in the already planned direction with the help of a number of steps in sequence. To make the research systemized the research worker has to adopt certain methods. The method adopted by the researcher for completing the project is called Research Methodology. entropy appeal METHODOLOGY AND Data refers to information or facts. It is not only refers numerical figures but also include descriptive facts.The method of data collection includes two types for the study, such as primary data and secondary data. PRIMARY DATA COLLECTION METHOD The primary was collected with the help of a integrated questionnaire directly from consumers through personal interview.The questionnaire contains questions that suit the objectives of the study. The questions will help to draw the information A acquire On Consumers Buying Habits Towards Health Food Drink Products In Salem regularise 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 evaluate the current status of variables considered for the study. Primary data is useful and applicable only for a specific time. and preceding(prenominal) reports, magazines, sales vouchers etc.DATA ANALYSIS AND INTERPRETATION MULTI-DISCRIMINANT FUNCTION ANALYSIS METHODS OF PRIMARY DATA COLLECTION The performance o f buying behaviour varies by the different stages of influence. In the study area out of 106 respondents divided up into two conventions, one is low level of influencer and high level of influencer. For the purpose of the study 7 variables were selected. Although in that respect are several methods are being used for collecting primary data, questionnaire and interview methods has been employed in this study.SECONDARY DATA Gender Age Educational Status Marital Status Occupation keep Place Place of Shopping It was used mainly to support the primary data. Secondary data was collected from sources such as through books, annual reports, significant, available literatures from organization TABLE nary(prenominal) 1 abbreviation TABLE BETWEEN LOW INFLUENCER AND HIGH INFLUENCER GROUPS STEP 1. 2. VARIABLE ENTERED Gender Place of purchase WILKS LAMBDA 0. 955 0. 909 MINIMUM D2 SIGNIFICANCE 0. 222 0. 471 ** * *.Significant at 1% level, ** Significant at 5% level, TABLE No. 2. CANONICAL DISCRIMINANT FUNCTION CANONICAL CORRELATION 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, Wilks Lambda and chi-square value suggest that D. F. is significant at 1% level. The variables give above are CHISQUARE 9. 711 D. F.SIG 2 Significant at 1% level identified in the long run 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 succeeding(a) table. TABLE NO. 3 DISCRIMINANT FUNCTION COEFFICIENTS Namex International ledger of Management Research 33 Vol. 2, Issue No. 2, July declination 2012. A Study On Consumers Buying Habits Towards Health Food Drink Products In Salem District Tamilnadu Mr. P. Arun.VARIABLES COEFFICIENTS 1. 812 0. 777 4. 635 Gender Place of Purchase Constant The equation is Z = 4. 635+ 1. 812 (Gender) + 0. 777 (Place of purchase) The discriminating power or the contribution of each variable to the depart can sufficiently. For this consider the following table. TABLE No. 4- RELATIVE DISCRIMINATING INDEX FACTORS Gender Place of Purchase GROUP 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.In short, the efficiency of the D. F. is how correctly it predicts the respondents into respective groups. TABLE NO. 5 CLASSIFICATION RESULTS PREDICTED GROUP rank and file ACTUAL GROUP No. OF CASES GROUP I Group 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 classified 60. 0%. The above table gives the results of the reclassification. The function, using the variables selected in the analysis classified 60. 0% of th e cases correctly in the respective groups. low and high influencer. The following factors significantlydiscriminate the two influencer groups. They are Gender (at 5% level) Place of purchase (at 1% level) Discriminate function analysis was applied to the respondents based on the TABLE NO. 6 DEMOGRAPHIC PROFILE OF RESPONDENTS (N=106) token GENDER Male Female MARITAL STATUS Single Married NUMBER Namex International Journal of Management Research PERCENTAGE 61 45 58. 00 42. 00 21 84 19. 88 79. 25 34 Vol. 2, Issue No. 2, July celestial latitude 2012. A Study On Consumers Buying Habits Towards Health Food Drink Products In Salem District Tamilnadu Mr. P. Arun Widow EDUCATIONAL STATUS Elementary indoctrinate High School GraduatePost Graduate Doctoral Degree OCCUPATION Professional Worker Business Retired cater House Wife PLACE Salem Omalur Mecheri Mettur Dam Kolathur The Present study is related to consumers behaviour on health food drinks in Salem area. In the constituted sample s ize 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, 31.33% 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 23. 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 APPLIED The primary data collected through interview instrument from 106 respondents. The statistical tool applied is multi discriminant analyses were used for this study.FINDINGS 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 naturalize level, 8. 49% elementary school level and the remaining 3. 78% Namex International Journal of Management Research The study shows the following findings. Its clearly shows that the below gender and place were significantly differedGender (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 consum erism 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.And fleshiness In The United States, 19992004. JAMA. 2006 295(13)15491555. PubMed The Surgeon Generals Call to Action to Prevent and Decrease Overweight and Obesity 2001. Rockville, MD Office of the Surgeon General, Public Health Service, US Dept of Health and Human Services 2001. Flegal KM, Graubard BI, Williamson DF, Gail MH. profusion deaths associated with underweight, stoutness, and obesity. JAMA. 2005 293(15)18611867. PubMed. Mokdad AH, Marks JS, Stroup DF, Gerberding JL. Actual causes of death in the United States, 2000. JAMA. 2004 291(10)12381245. PubMed. Hedley AA, Ogden CL, Johnson CI, Carroll MD, Curtin LR, Flegal KM.Prevalence of overweight and obesity among US children, adolescents, and adults, 1999 2002. JAMA. 2004 291(23)28472850. PubMed. theme Initiative for Chil drens 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 childhood obesity. Ann Intern Med. 1985 103(6, pt 2)1068 1072. PubMed.Namex 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)167177. 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)3947. PubMed. Sellers K, Russo T, Baker I, Dennison B. The Role Of childcare Providers In The Prevention Of Childhood Overweight. J Early Child Res. 2005 3(3)227242. WEBSIGHTS www. yahoo. com. www. google. com. www. hul. co. in. 36 Vol. 2, Issue No. 2, July December 2012.