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The Impact of
Waiting Time, Food Quality & Environment
towards Customers’ Satisfaction
in Fast Food Establishments :
Evidence from Dhaka City
Nilima Yesmin
Rashmi Riztan Mowri
16141051
16141069
16141081
Fairuz Binte Mahbub
Fast-food is a kind of mass production of food which has been designed for
business purpose or for resale along with the priority on service time
As we are in a competitive world, the food service business is one of the
largest industries in the country. The number has been increasing day by day
Fast-food is defined as “easily prepared processed food served in snacks bars
and restaurants as a quick meal or to be taken away”
As we know, fast-food is a popular source for all kinds of people and
there has been a considerable number of food items in the fast-food
market. So to keep our survey simple, we are taking a particular food
item, which is Pizza where producers are facing a competitive market
The behavior pattern towards any product or service
is the leading influencer in buying attitude
Among the lots of elements of a good which elements is best for
consumer or consumer place value on the features this can be
known through the market research approach which is known as
conjoint analysis
To know about consumer preference of pizza’s ingredients
and characteristics of restaurants in this study using
Conjoint analysis, which is one of the most favorable
marketing strategies for product design and price research
It is one kind of survey-based approach
One of the best ways of gathering information about market research is conjoint
analysis. As it is kind of survey-based it can help market research by asking questions
to the consumers based on that particular product features
As there are several kinds of methods of conjoint analysis can be used but it is quite
essential to know which one is best to use for the industry
Which methods will able to figure out the approximately perfect figure to help the
company, and for that it also needs to understand how they worked. It depends on
how the company wants to know about consumer
There are different types of conjoint analysis among all of the types in this paper
we have been used choice based conjoint analysis
CBC studies are used for learning about respondents' preferences for the
combinations of features that make up products or services
The main characteristic distinguishing
choice-based conjoint analysis
from earlier types of conjoint analysis is that the
respondent expresses preferences
by choosing concepts (products) from sets of concepts,
rather than by rating or ranking them.
Over the last two decades, choice-based conjoint has
become the most widely used
conjoint-related technique.
Consumer Preference and Spending Pattern in Indian Fast-Food
Industry (Y Prabhavathi, N T Krishna Kishore, M. Ramesh Kumar)
Consumer Behavior in Fast-Food Marketing in Bangladesh: A Case
Study (Mohammad A. Ashraf, Sharmin Akhter and Saad Imran Noor)
Consumers’ Preference and Consumption towards Fast Food:
Evidences from Malaysia
(Farzana Quoquab Habib, Rozhan Abu Dardak and Sabarudin Zakaria)
Determinants of Customer Satisfaction in Fast Food Industry: A
Study of Fast Food Restaurants Peshawar Pakistan (Shahzad Khan,
Syed Majid Hussain and Fahad Yaqoob)
In this paper, we utilized both quantitative and qualitative data collection
methods. The motivation behind this paper is to analyze customers' fulfillment
dependent on their pizza preferences relying upon different attributes of
pizzas. Here, we used conjoint analysis as a tool. Conjoint analysis is a survey-based
statistical technique used in statistical surveying that decides how individuals value
various properties (work, benefits) that make up an individual product or services. The
goal of conjoint analysis is to figure out what combination of a limited number of
attributes is generally influential on the respondent decision or basic leadership.
In this paper, we use Choice-based Conjoint Analysis to be specific.
Conjoint-based is a complete strategy for the analysis of new products in a competitive
environment. This tool enables to complete the progression of analyzing the outcomes
acquired after the collection of responses from a sample of individuals.
There are two kinds of conjoint analysis:
1. Choice-based Conjoint (CBC) analysis
2. Adaptive Conjoint Analysis (ACA)
We did survey on 150 people
and this is the participation percentage we get
Percentage of different age
of people who prefer fast-food
Which gender
prefers to eat out
Percentage of employed and
unemployed people
who prefer to go out
Difference between percentage of
people eat out and percentage of
people have pizza in a month
Value Sig.
Pearson's R .943 .000
Kendall's tau .786 .003
Kendall's tau for
Holdouts -1.000 .
Correlations between observed and
estimated preferences
Utility
Estimate
Std. Error
Crust
Thin .302 .178
Thick .604 .356
Toppings
Vegetable .148 .178
Meat .295 .356
Cheese
Less -.352 .178
More -.705 .356
Time
30 Minute -.084 .178
60 Minute -.168 .356
Environment
Luxury .094 .178
Average .188 .356
Price
<600 -.037 .178
600-1300 -.074 .356
(Constant) 4.394 .659
Fast food
Fast food
Fast food

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Fast food

  • 1.
  • 2. The Impact of Waiting Time, Food Quality & Environment towards Customers’ Satisfaction in Fast Food Establishments : Evidence from Dhaka City
  • 3. Nilima Yesmin Rashmi Riztan Mowri 16141051 16141069 16141081 Fairuz Binte Mahbub
  • 4. Fast-food is a kind of mass production of food which has been designed for business purpose or for resale along with the priority on service time As we are in a competitive world, the food service business is one of the largest industries in the country. The number has been increasing day by day Fast-food is defined as “easily prepared processed food served in snacks bars and restaurants as a quick meal or to be taken away” As we know, fast-food is a popular source for all kinds of people and there has been a considerable number of food items in the fast-food market. So to keep our survey simple, we are taking a particular food item, which is Pizza where producers are facing a competitive market
  • 5. The behavior pattern towards any product or service is the leading influencer in buying attitude Among the lots of elements of a good which elements is best for consumer or consumer place value on the features this can be known through the market research approach which is known as conjoint analysis To know about consumer preference of pizza’s ingredients and characteristics of restaurants in this study using Conjoint analysis, which is one of the most favorable marketing strategies for product design and price research It is one kind of survey-based approach
  • 6. One of the best ways of gathering information about market research is conjoint analysis. As it is kind of survey-based it can help market research by asking questions to the consumers based on that particular product features As there are several kinds of methods of conjoint analysis can be used but it is quite essential to know which one is best to use for the industry Which methods will able to figure out the approximately perfect figure to help the company, and for that it also needs to understand how they worked. It depends on how the company wants to know about consumer There are different types of conjoint analysis among all of the types in this paper we have been used choice based conjoint analysis CBC studies are used for learning about respondents' preferences for the combinations of features that make up products or services
  • 7. The main characteristic distinguishing choice-based conjoint analysis from earlier types of conjoint analysis is that the respondent expresses preferences by choosing concepts (products) from sets of concepts, rather than by rating or ranking them. Over the last two decades, choice-based conjoint has become the most widely used conjoint-related technique.
  • 8. Consumer Preference and Spending Pattern in Indian Fast-Food Industry (Y Prabhavathi, N T Krishna Kishore, M. Ramesh Kumar) Consumer Behavior in Fast-Food Marketing in Bangladesh: A Case Study (Mohammad A. Ashraf, Sharmin Akhter and Saad Imran Noor) Consumers’ Preference and Consumption towards Fast Food: Evidences from Malaysia (Farzana Quoquab Habib, Rozhan Abu Dardak and Sabarudin Zakaria) Determinants of Customer Satisfaction in Fast Food Industry: A Study of Fast Food Restaurants Peshawar Pakistan (Shahzad Khan, Syed Majid Hussain and Fahad Yaqoob)
  • 9. In this paper, we utilized both quantitative and qualitative data collection methods. The motivation behind this paper is to analyze customers' fulfillment dependent on their pizza preferences relying upon different attributes of pizzas. Here, we used conjoint analysis as a tool. Conjoint analysis is a survey-based statistical technique used in statistical surveying that decides how individuals value various properties (work, benefits) that make up an individual product or services. The goal of conjoint analysis is to figure out what combination of a limited number of attributes is generally influential on the respondent decision or basic leadership. In this paper, we use Choice-based Conjoint Analysis to be specific. Conjoint-based is a complete strategy for the analysis of new products in a competitive environment. This tool enables to complete the progression of analyzing the outcomes acquired after the collection of responses from a sample of individuals. There are two kinds of conjoint analysis: 1. Choice-based Conjoint (CBC) analysis 2. Adaptive Conjoint Analysis (ACA)
  • 10. We did survey on 150 people and this is the participation percentage we get Percentage of different age of people who prefer fast-food
  • 11. Which gender prefers to eat out Percentage of employed and unemployed people who prefer to go out
  • 12. Difference between percentage of people eat out and percentage of people have pizza in a month
  • 13.
  • 14.
  • 15. Value Sig. Pearson's R .943 .000 Kendall's tau .786 .003 Kendall's tau for Holdouts -1.000 . Correlations between observed and estimated preferences
  • 16. Utility Estimate Std. Error Crust Thin .302 .178 Thick .604 .356 Toppings Vegetable .148 .178 Meat .295 .356 Cheese Less -.352 .178 More -.705 .356 Time 30 Minute -.084 .178 60 Minute -.168 .356 Environment Luxury .094 .178 Average .188 .356 Price <600 -.037 .178 600-1300 -.074 .356 (Constant) 4.394 .659