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    Add as Friendcomparison between barista and coffee day

    by: virendra

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    2 : Objectives of the Research To determine whether Café Coffee Day is preferred over Barista. To determine consumer behavior and purchase pattern of coffee as a beverage. What criteria people used for choosing coffee as compared to other beverages. Customer profile of people preferring Café Coffee Day and Barista (demographic and psychographics profile.) Sales revenue estimates of Café Coffee Day and Barista. Differentiating factors of Café Coffee Day and Barista. Customer experience at Café Coffee Day and Barista
    3 : Research Design A descriptive research Focused on to examine the consumer perception towards Barista vis-à-vis Café Coffee Day. And how it varies with demographic variables like age, income level, etc.
    4 : Methodology Information Needs: An exploratory research A set of travelers of Barista and Café Coffee Day to identify the information needs which have been grouped under the following heads: Variety, taste and quality of products (coffee, other drinks, snacks, deserts, etc.) Ambience (Furniture, décor, comfort and feel) Order/ delivery time & order/delivery process. Performance of staff. Entertainment (music, reading and games Data collection: Using the above information questionnaire was designed. The questionnaire was administered to the respondent and data was collected.
    5 : Sampling Selection of Sample – For the purposes of data collection We selected our sample by using convenient sampling technique Thus our sample population consisted of students of colleges and people visiting Barista and Café Coffee Day Sample Size- Data was collected for 110 respondents Out of which 10 respondents don’t visit coffee bars. Therefore, the interview was terminated. Hence, our sample size was 100.
    6 : Analysis of Data Q5 our research shows that 9% of our customers visit daily , 42% visit weekly whereas only 15% visit less than a month Q8 62% of our sample unit spend ½ to 1 hr in a coffee shop and only 4% spend less than ½ hr Q9 55% of our customers spend Rs 100 to 200 per visit per person Q10 majority that is 65% of our customers prefer assisted service
    7 : Q11 62% of our customers visit coffee shops during evening hrs and 18% may visit anytime Q14 53% of our sample unit comprises of males while 47% comprises of females Q15 69% of our customers fall within the age group of 20 to 26 yrs Q16 majority of our customers (77%) comprise of students and professionals Q17 65% of the customers fall in the income category of 100000 to 250000 Q18 64% of the people who visit coffee shops are single
    8 : Analysis of Data Cross Tab 1 HO: There is no relationship between income and money spent per person per visit. H1: There is a relationship between income and money spent per person per visit. P value = 0.537 > Significance level 0.05. We accept the null hypothesis. Therefore there is no relationship between income and money spent per person per visit. Cross Tab 2 HO: There is no relationship between age and Frequency of visit. H1: There is a relationship between age and Frequency of visit. Since P value = 0.00 < Significance level .05. We reject the null hypothesis that there is a relationship between age and frequency of visit Cramer’s V value= 0.379, which means that age and frequency of visit have a moderate relationship.
    9 : Variety a) Coffee HO: There is no difference in average perception regarding variety of coffee between Café coffee day and barista. H1: There is a difference in average perception regarding variety of coffee between Café coffee day and barista P = 0.537 > significance level 0.05. Hence we accept the null hypothesis that there is no difference in the variety of coffee between CCD & Barista. b) Tea HO: There is no difference in average perception regarding variety of tea between Café coffee day and barista. H1: There is a difference in average perception regarding variety of tea between Café coffee day and barista. P = 0.558 > significance level 0.05. Hence we accept the null hypothesis that there is no difference in the variety of tea between CCD & Barista.
    10 : Variety c) Mocktails HO: There is no difference in average perception regarding variety of Mocktails between Café coffee day and barista. H1: There is a difference in average perception regarding variety of Mocktails between Café coffee day and barista. P = 0.008 < significance level 0.05. Hence we reject the null hypothesis that there is a difference in the variety of Mocktails between CCD & Barista d) Snacks HO: There is no difference in average perception regarding variety of Snacks between Café coffee day and barista. H1 : There is a difference in average perception regarding variety of Snacks between Café coffee day and barista. P = .002 < significance level 0.05. Hence we reject the null hypothesis that there is a difference in the variety of coffee between CCD & Barista.
    11 : Quality Snacks HO: There is no difference in average perception regarding quality of products of snacks between Café coffee day and barista. H1: There is a difference in average perception regarding quality of products of snacks between Café coffee day and barista. P = 0.008 < significance level. Hence we reject the null hypothesis that there is a difference in the quality of products of snacks between CCD & Barista. Desserts HO: There is no difference in average perception regarding quality of products of desserts between Café coffee day and barista. H1: There is a difference in average perception regarding quality of products of desserts between Café coffee day and barista. P = .857 > significance level 0.05. Hence we accept the null hypothesis that there is no difference in the quality of products of desserts between CCD & Barista.
    12 : Entertainment Music HO: There is no difference in average perception regarding Entertainment from music between Café coffee day and barista. H1 : There is a difference in average perception regarding Entertainment from music between Café coffee day and barista. P = .094 > significance level 0.05. Hence we accept the null hypothesis that there is no difference in the Entertainment from music between CCD & Barista. Reading HO: There is no difference in average perception regarding Entertainment from Reading between Café coffee day and barista. H1 : There is a difference in average perception regarding Entertainment from Reading between Café coffee day and barista. P = 0.069 > significance level 0.05. Hence we accept the null hypothesis that there is no difference in the Entertainment from Reading between CCD & Barista.
    13 : Entertainment c) Games HO: There is no difference in average perception regarding Entertainment from Games between Café coffee day and barista. H1 : There is a difference in average perception regarding Entertainment from Games between Café coffee day and barista. P = .001 which is less than significance level 0.05. Hence we reject the null hypothesis that there is a difference in the Entertainment from Games between CCD & Barista
    14 : CONCLUSION Coffee shops are a meeting place for all age groups. Our research shows that 69% of our customers fall within the age group of 20 to 26 yrs which supplements the result of mostly people visiting the coffee shops for hangout with friends. Students and professional comprises of around 77% of consumer profile which is evident from the fact that 62% visit during evening hrs. Also there is no clear distinction of perception between the products\services offered by CCD or BARISTA but in the quality of product of snacks, in their furniture and décor, and the entertainment provided in the form of games by them can be distinguished between the two.

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