International Journal of Informative & Futuristic Research

Similar documents
Dr. Pankaj K Trivedi Associate Professor K.K. Parekh Commerce College Amreli, Gujarat (India)

A COMPARATIVE STUDY ON CUSTOMER SATISFACTION TOWARDS KFC AND MCDONALDS RAJKOT

A Study on Consumer Attitude Towards Café Coffee Day. Gonsalves Samuel and Dias Franklyn. Abstract

New from Packaged Facts!

AN EMPIRICAL STUDY ON CONSUMER BEHAVIOUR OF CHILDREN ON FAST FOOD Dr. Mohan Kumar. R 1, Initha Rina. R* 2. India.

Comparative Analysis of Fresh and Dried Fish Consumption in Ondo State, Nigeria

From Selling to Supporting-Leveraging Mobile Services in the Field of Food Retailing

DETERMINANTS OF DINER RESPONSE TO ORIENTAL CUISINE IN SPECIALITY RESTAURANTS AND SELECTED CLASSIFIED HOTELS IN NAIROBI COUNTY, KENYA

THE INTERNATIONAL JOURNAL OF BUSINESS & MANAGEMENT

Emerging Local Food Systems in the Caribbean and Southern USA July 6, 2014

Company Coverage. Country Coverage. Global Coverage. Regional Coverage

A study on consumer perception about soft drink products

A STUDY ON CONSUMER PREFERENCE TOWARDS BRITANNIA BISCUITS IN MADURAI

De La Salle University Dasmariñas

RESEARCH UPDATE from Texas Wine Marketing Research Institute by Natalia Kolyesnikova, PhD Tim Dodd, PhD THANK YOU SPONSORS

Consumption Behavior of Youth at Branded Fast Food Outlets A Case Study of Chandigarh

An Investigative Study of Factors Influencing Dining out in Casual Restaurants Among Young Consumers

BUYING BEHAVIOUR OF CONSUMERS OF EDIBLE OIL - A STUDY OF PUNE CITY

Perspective of the Labor Market for security guards in Israel in time of terror attacks

International Journal of Business and Commerce Vol. 3, No.8: Apr 2014[01-10] (ISSN: )

STUDY REGARDING THE RATIONALE OF COFFEE CONSUMPTION ACCORDING TO GENDER AND AGE GROUPS

Global Takeaway Food Delivery Market: Trends & Opportunities (2015 Edition) January 2016

APPENDIX 1 THE SURVEY INSTRUMENT - QUESTIONNAIRE

Plate 2.1 City map of Puducherry showing selected areas for the study

The Vietnam urban food consumption and expenditure study

Fairfield Public Schools Family Consumer Sciences Curriculum Food Service 30

Determinants of Choice for Dining out to Fast Food and Traditional Food

Background & Literature Review The Research Main Results Conclusions & Managerial Implications

More information from: global-online-food-delivery-and-takeaway-marketanalysis-by-order-type

CHAPTER I BACKGROUND

COMPARISON OF EMPLOYMENT PROBLEMS OF URBANIZATION IN DISTRICT HEADQUARTERS OF HYDERABAD KARNATAKA REGION A CROSS SECTIONAL STUDY

CHAPTER 5 ANALYSIS OF THE CONSUMER BEHAVIOUR IN PURCHASING TEA

What do consumers think about farm animal welfare in modern agriculture? Attitudes and shopping behaviour

Summary Report Survey on Community Perceptions of Wine Businesses

Results from the First North Carolina Wine Industry Tracker Survey

Measuring economic value of whale conservation

A Comparison of X, Y, and Boomer Generation Wine Consumers in California

US Chicken Consumption. Presentation to Chicken Marketing Summit July 18, 2017 Asheville, NC

INTERNATIONAL UNDERGRADUATE PROGRAM BINA NUSANTARA UNIVERSITY. Major Marketing Sarjana Ekonomi Thesis Odd semester year 2007

UNIV OF ALABAMA AT BIRMINGHAM US10066

A STUDY ON CONSUMER AWARENESS ABOUT HEALTH HAZARDS IN CONSUMPTION OF SOFT DRINKS- IN DINDIGAL

Characteristics of Wine Consumers in the Mid-Atlantic States: A Statistical Analysis

Impact of Fast Food on the Socio-Economic Behavior of the Moroccan Consumer: A Study of the Influencing Factors

Table of Contents. Contact Information

2017 FINANCIAL REVIEW

Tea is one of the most popular and widely consumed hot

Integrated Service Industry I : Accommodation and Food Service Activities

Global Cocoa Butter Equivalent (CBE) Market - Volume and Value Analysis By Type, By Region, By Country: Opportunities and Forecast ( )

Consumer Responses to Food Products Produced Near the Fukushima Nuclear Plant

Comparative report on Fast Food study in Thailand, Indonesia and Vietnam in 2015

The 2006 Economic Impact of Nebraska Wineries and Grape Growers

Predictors of Repeat Winery Visitation in North Carolina

ISES INDUSTRY FORUM CSISG 2015 Q3 RESULTS. F&B and TOURISM INSTITUTE OF SERVICE EXCELLENCE SINGAPORE MANAGEMENT UNIVERSITY

Foodservice EUROPE. 10 countries analyzed: AUSTRIA BELGIUM FRANCE GERMANY ITALY NETHERLANDS PORTUGAL SPAIN SWITZERLAND UK

The Chopstix Story. Chopstix is a leading Oriental quickservice restaurant brand with over 45 sites across the UK and Ireland.

THE ECONOMIC IMPACT OF BEER TOURISM IN KENT COUNTY, MICHIGAN

WACS culinary certification scheme

Consumer perception about fast food in India: an exploratory study Anita Goyal and N.P. Singh Management Development Institute, Sukhrali, India

Volume 30, Issue 1. Gender and firm-size: Evidence from Africa

Power and Priorities: Gender, Caste, and Household Bargaining in India

Assessing the Determinants of Mamak Restaurant Customer Satisfaction Ernest K. S. Lim

OKANAGAN VALLEY WINE CONSUMER RESEARCH STUDY 2008 RESULTS

Texas Wine Marketing Research Institute College of Human Sciences Texas Tech University CONSUMER ATTITUDES TO TEXAS WINES

What are the Driving Forces for Arts and Culture Related Activities in Japan?

The University of Georgia

Leaving Certificate Applied

Labor Supply of Married Couples in the Formal and Informal Sectors in Thailand

Availability of Nutritional Information in a National Sample of Fast Food Restaurants

Research Paper on Perception Study of Pune Wine Market Culture from the Consumer s Point of View

SOUTH AFRICA BRAND REPORT

School food environments and adolescent health

Attachment A. Core U.S. OJ & GJ Scanned Sales Data

Statistics & Agric.Economics Deptt., Tocklai Experimental Station, Tea Research Association, Jorhat , Assam. ABSTRACT

Problem. Background & Significance 6/29/ _3_88B 1 CHD KNOWLEDGE & RISK FACTORS AMONG FILIPINO-AMERICANS CONNECTED TO PRIMARY CARE SERVICES

Tim Woods Lia Nogueira Shang Ho Yang Xueting Deng WERA 72 Meetings 2014

Analysis of Influencing Factors of Deviation of Consumer Willingness and Behavior in Popular Tea Consumption

Characteristics of U.S. Veal Consumers

IMPORTANCE OF LODI WINES IN THE RETAIL CHANNEL AND OPPORTUNITIES FOR GROWTH. Curtis Mann Director of Wine & Beverage Raley s Family of Fine Stores

Clinical Support Services Dining Services Satisfaction Survey Fall 2013

IT 403 Project Beer Advocate Analysis

Customer Preferences Regarding Maggi Before and After Ban

Foodservice Disposables Packaging - Global Market Outlook ( )

Slow Rot or Not! By Jennifer Goldstein

NEW YORK CITY COLLEGE OF TECHNOLOGY, CUNY DEPARTMENT OF HOSPITALITY MANAGEMENT COURSE OUTLINE COURSE #: HMGT 4961 COURSE TITLE: CONTEMPORARY CUISINE

TABLE OF CONTENTS. Table of contents

Reaction to the coffee crisis at the beginning of last decade

Chicken Usage Summary

To successfully select and promote a retail product after careful analysis of the customer population, meeting forecasted sales goals and providing

ASSESSING THE HEALTHFULNESS OF FOOD PURCHASES AMONG LOW-INCOME AREA SHOPPERS IN THE NORTHEAST

ISSN: (Online) Volume 4, Issue 3, March 2016 International Journal of Advance Research in Computer Science and Management Studies

A Presentation of the Primary Research on Visitation to Wine Festivals and Wineries in British Columbia

2017 National Monitor of Fuel Consumer Attitudes ACAPMA

An Examination of operating costs within a state s restaurant industry

Gender and Firm-size: Evidence from Africa

Dietary Diversity in Urban and Rural China: An Endogenous Variety Approach

Is Fair Trade Fair? ARKANSAS C3 TEACHERS HUB. 9-12th Grade Economics Inquiry. Supporting Questions

(

Leverage the Rising Sustainability Wave

VisitScotland Food & Drink QA Scheme. Taste Our Best. Criteria/Guidance Notes. Visitor Attractions

Chef de Partie Apprenticeship Standard

Transcription:

Volume 3 Issue 2 October 2015 ISSN: 2347-1697 International Journal of Informative & Futuristic Research Fast Food Restaurants Perception and Consumer s Behavior: A Case study of Fast Food Restaurants of Patiala Paper ID IJIFR/ V3/ E2/ 003 Page No. 336-344 Subject Area Tourism, Hospitality & Hotel Management Key Words Customer s Behavior, Visitors Frequency, Fast food Restaurants, Patiala Parminder Singh Dhillon Assistant Professor, Dept. of Tourism, Hospitality & Hotel Management, Punjabi University, Patiala (Punjab) Abstract Fast food may be defined as a food which could be easily processed and served in snack bars and restaurants as a quick meal or to be taken away Fast food restaurant means restaurants that offers quickly prepared snacks or foods which are served promptly at reasonable prices in the form of takeaways or dining. Patiala is a city in Punjab with a total population of almost 5 lakhs and this study was undertaken in Patiala an erstwhile princely town of Punjab where fast food concept has emerged very recently about ten years ago. Patiala has almost all MNC Brands of fast foods like Mc Donald s, Pizza Hut, Domino s, KFC, Subway, Yo China, Café Coffee Day and many local brands of Fast foods in the form of quick service and takeaway meals. Patiala is having four Universities and more than 25 degree colleges with large number of youth population in the city there is immense scope for fast food restaurants to flourish. Keeping in view the food habits of the locals and changing preferences towards food consumption, the purpose of this study is to identify fast food restaurants in Patiala and examine the factors that can affect frequency of customer s visit to Fast food restaurants. The study is based on data collection through questionnaire an analysis has been done by using SPSS tool. The study conducted will certainly aid in the process of increasing sales and enhance customer loyalty. 1. Introduction The term Fast food pertains to the food which is easily and quickly processed for delivery to the customer. Fast food restaurants also known as Quick service restaurants offers limited menu and at very reasonable price, they cater to the needs of varied customers like people who are in a hurry and want to have a quick meal or who want a takeaway food with a prompt and efficient delivery Available online through - http://ijifr.com/searchjournal.aspx Accepted After Review On: October 08, 2015 Published Online On: October 12, 2015 336

system. There was a time when Indian market was dependent only on tiffin lunch or street food vendors but today the entire scenario has changed after Mc Donald s ventured into Indian market in the year 1996 Changing trends in demographics may change the Indian fast food market in to a hub for mega fast food players of the world. Indians today have developed a great appetite for Pizzas, Burgers, Sandwiches, Subs and Fries. According to a paper entitled Indian fast food market new destination: Tier-II & III cities by (ASSOCHAM) Associated Chambers of Commerce & Industry of India the reasons for fast food growth include growing need of consumer for convenience, increased appetite and insatiable hunger for international food and exposure to global media and cuisine, the annual spending of each middle class household in India s tier-ii & III cities have increased by Rs.2,500 to Rs.5,200, a growth of 108% on fast food restaurants in the last two years, as revealed in the ASSOCHAM latest study. The fast food industry is still a large and diverse industry with ocean full of opportunities. But the challenge is to innovate, respond with new offerings, changed pricing and strategies to lure customers to achieve maximum profitability. Fast food industry is growing at a very fast pace in India due to many reasons like increase in nuclear families and working women, corporate culture, growth in income, changing lifestyle and eating patterns which has forced the fast food chains to open up their outlets in smaller cities of India. 2. Literature Review Van Zyl, Steyn & Marias, 2010, there has been a significant increase in global expenditure on fast food products and this has resulted in the phenomenal growth of the fast food industry. Clark, M. A., & Wood, R. C. (1998). Consumer loyalty in the restaurant industry-a preliminary exploration of the issues. International Journal of Contemporary Hospitality Management,10 (4), 139 144. Thakkar & Thatte (2014) Consumers attach great importance to various factors such as quality of food, facility layout, service quality, speed and cleanliness. (Li, 2005)The Modern fast food industry originated in the United States in the 1920s, and developed rapidly and became epidemic all over the world from 1950s. Huda and Hossain (2009) stated that consumer prefer fast food more than regular food because of food quality, atmosphere, proximity to work place, reasonable pricing and variety in food menu and stated that corporate sector consumer highly prefer fast food restaurant than regular food restaurant due to short span of time. Gupta (2003) found that customer perception, taste & satisfaction develop more favorable consumer behavior towards particular brand than any other factor Ali et al. (2010) found that improving customer relationship could provide an edge for fast food retailers in India provided they are able to manage and formulate new marketing tools and practice to facilitate greater customer satisfaction and better overall experience. 3. Objectives Of The Study I. To explore preferences of consumers among major players in the Fast food restaurant industry of Patiala. II. To determine how often consumers prefer to visit at Fast food restaurants. III. To study influence of demographic variables such as marital status, Income and Occupation of consumers on frequency of customers visit to Fast food restaurants. IV. To suggest competitive marketing strategies for fast food restaurants in Patiala 337

4. Hypothesis Of Study I. There is a significant relation between income variable and fast food consumption pattern. II. There is a significant relation between marital status variable of respondents and frequency to visit a Fast food restaurant. III. There is a significant relation between occupation of respondents and frequency of visit to a Fast food restaurant. 5. Research Methodology This is a descriptive and exploratory research. Primary data for the research has been collected through a structured questionnaire with open and closed ended questions. Secondary data was collected by documentary sources- magazines, journals and internet. 6. Sampling Technique and Size Non-probability sampling technique was chosen for the sample. A sample size of 150 respondents 99 males(20 married 79 unmarried) and 51 females(15 married and 36 unmarried) between the age group of 25-50 years has been taken considering all the customers present in fast food restaurants at a time, as population. The data was analyzed by using SPSS 19 version and the test applied was Chi square and Cramer's V is a way of calculating correlation in tables which have more than 2x2 rows and columns. It is used as post-test to determine strengths of association after chi-square has determined significance. Table 1(a): Demographic profile of the sample Gender No.Of Respondents Married Unmarried Males 99 66% 20 13.3% 79 52.6% Females 51 34% 15 10% 36 24% Total 150 Table 1(b): Frequency Of Visit Frequency Of Visit No.Of Respondents Once In A Week 32 21.3% Twice In A Week 61 40.6% Thrice A Week 19 12.6% Once In 15 Days 35 23.3% Once In A Month 3 2% 7. Data Analysis and Interpretation Descriptive statistics are used to explain the demographic variables such as occupation, marital status and income level by mean, frequency distribution and percentage. The questionnaire was given to 150 respondents and the information collected can be depicted by the following graphs and tables. 7.1: Most Preferred Fast Food Restaurant in Patiala Numbers in the pie chart indicates the percentage no. of people visit a particular outlet in Patiala city and the text in bars shows the percentage of consumers who visit these outlets 338

Figure 1: The percentage no. of people visit a particular outlet in Patiala city Table 2 : Shows Preferences Of Respondents To Dine Out For Consuming Fast Food Items Frequency Percent Valid Cumulative Preferred outlet Percent Percent Valid MC DONALDS 72 47.7 48.0 48.0 DOMINOS 18 11.9 12.0 60.0 PIZZA HUT 25 16.6 16.7 76.7 SUBWAY 20 13.2 13.3 90.0 KFC 15 9.9 10.0 100.0 Total 150 99.3 100.0 Missing System 1.7 Total 151 100.0 Table No 2 shows that most preferred Fast food outlet is Mc Donald s with 48% following and Pizza Hut at the second stage with a following of 16.7%, Subway third with following of 13.3% Domino s at fourth with a following of 12% consumers and KFC stands fifth with a following of 10% consumers. Further demographic variables like marital status, income and occupation against the frequency of visit to Fast food restaurants was analyzed. 339

7.2 Income level of a household vs. frequency of visiting Fast food restaurants Table 3: Data Analysis for Income level vs. Frequency of visit to a Fast food restaurant Twice Thrice Once Once In Visit of Frequency Once In In A In A In 15 A A Week Week Week Days Month up to Count 5 10 9 5 1 30 30,000 % of Total 3.3% 6.7% 6.0% 3.3%.7% 20.0% more than Count 21 39 10 20 0 90 30,000 % of Total 14.0% 26.0% 6.7% 13.3%.0% 60.0% INCOME student Count 6 12 0 10 2 30 with no % of Total 4.0% 8.0%.0% 6.7% 1.3% 20.0% income Count 32 61 19 35 3 150 % of Total 21.3% 40.7% 12.7% 23.3% 2.0% 100.0% Total Null Hypotheses: There exists no association between income level of a household or a person and the frequency of visiting Fast food restaurants Alternate Hypotheses: There exists an association between income level of a household or a person and the frequency of visiting Fast food restaurants P (Level of significance) = 0.05 Table 4: Chi-Square Tests for Income level and Frequency of visit Value df Asymp. Sig. (2-sided) Pearson Chi-Square 19.383 a 8.013 Likelihood Ratio 21.655 8.006 Linear-by-Linear Association.118 1.731 55 cells (33.3%) have expected count less than 5. The minimum expected count is 60. We can analyze from the above table that Pearson Chi Square 19.383, Degrees of freedom 8, Sig value 0.05 and Cumulative probability: P (Χ2 < CV =The P-Value is 0.01294. The result is significant at p < 0.05.We know that the sig value (.013) is less than p value (0.05), the null hypotheses can be rejected. The above table depicts only the presence of association between the two variables. However, does not tell the strength of the same. This can be obtained from Cramer s V. Table 5: Symmetric Measures Cramer s V Value Approx. Sig. Nominal by Nominal Phi.359.013 Cramer's V.254.013 Contingency Coefficient.338.013 The Cramer s V value is.254 which is significant. Therefore we are able to say that there is strength of association between income level of a household or a person and the frequency of visiting Fast food restaurant. 340

7.3 Analysis of Income and visit of frequency to a fast food restaurant Null Hypotheses: There exists no association between marital status of a person and the frequency of visiting Fast food restaurants Alternate Hypotheses: There exists an association between marital status of a person and the frequency of visiting Fast food restaurants P (Level of significance) = 0.05 7.4 Marital status vs. Frequency of visiting Fast food restaurants Table 6 : Data Analysis for Marital Status vs. Visit of frequency to a Fast food restaurant ONCE IN A TWICE IN A THRICE IN A WEEK WEEK WEEK MSTAT MARRIED Count 10 11 2 % within 27.8% 30.6% 5.6% MSTAT % within 31.3% 18.0% 10.5% % of Total 6.7% 7.3% 1.3% UNMARRIED Count 22 50 17 % within 19.3% 43.9% 14.9% MSTAT % within 68.8% 82.0% 89.5% % of Total 14.7% 33.3% 11.3% Total Count 32 61 19 % within 21.3% 40.7% 12.7% MSTAT % within 100.0% 100.0% 100.0% % of Total 21.3% 40.7% 12.7% 341

Table 7: Chi-Square Tests for Marital status and Frequency of visit Asymp. Sig. Value df (2-sided) Pearson Chi-Square 13.905 a 4.008 Likelihood Ratio 13.338 4.010 Linear-by-Linear.767 1.381 Association a. 3 cells (30.0%) have expected count less than 5. The minimum expected count is.72. The result shows the Degrees of freedom = 4 Chi-square critical value (CV) = 13.905, Cumulative probability: P (Χ2 < C = 0.007605. The P-Value is 0.007605. The result is significant at p < 0.05. We know that the sig value (.008) is less than p value (0.05), the null hypotheses can be rejected. The above table depicts only the presence of association between the two variables. However, does not tell the strength of the same this can be obtained from Cramer s V Table 8: Symmetric Measures Cramer s V Value Approx. Sig. Nominal by Nominal Phi.304.008 Cramer's V.304.008 The Cramer s V value is.304 which is significant and we are able to say that there is a significant strength of association between marital status a person and the frequency of visiting Fast food restaurant 7.5 Occupation vs. Frequency of visiting Fast foods restaurants Null Hypotheses: There exists no association between occupation of a person and the frequency of visiting Fast foods restaurants Alternate Hypotheses: There exists an association between occupation of a person and the frequency of visiting Fast foods restaurants P (Level of significance) = 0.05 Analysis Table 9: OCCUPATION * Cross tabulation ONCE IN A WEEK TWICE IN A WEEK OCCUPATION SERVICE Count 12 26 HOLDER % within 25.5% 55.3% OCCUPATION % within 37.5% 42.6% % of Total 8.0% 17.3% HOUSEWIFE Count 2 1 % within 33.3% 16.7% OCCUPATION % within 6.3% 1.6% 342

% of Total 1.3%.7% student Count 18 34 % within 18.6% 35.1% OCCUPATION % within 56.3% 55.7% % of Total 12.0% 22.7% Total Count 32 61 % within 21.3% 40.7% OCCUPATION % within 100.0% 100.0% % of Total 21.3% 40.7% Table 10 : Chi-Square Tests for Occupation and Frequency of visit Value df Asymp. Sig. (2-sided) Pearson Chi-Square 21.810 a 8.005 Likelihood Ratio 24.222 8.002 Linear-by-Linear Association.487 1.485 a. 4 cells (26.7%) have expected count less than 5. The minimum expected count is.60. Degrees of freedom = 8, Chi-square critical value (CV) = 21.810, Cumulative probability: P (Χ2 < CV) = 0.00528., The P-Value is 0.00528. The result is significant at p < 0.05. The above table depicts only the presence of association between the two variables. However, does not tell the strength of the same this can be obtained from Cramer s V. Table 11 Symmetric Measures Cramer s V Value Approx. Sig. Nominal by Nominal Phi.381.005 Cramer's V.270.005 Cramer s V Value=.270 which is significant and shows that there is significant strength of association between Occupation of consumers and their Frequency of visiting Fast foods restaurants 8. Suggestions I. Fast food restaurants can come up with innovative menu offerings for the customers II. Patiala is a city which is inhibited by employees and they have a predefined budget and considering the same Fast food restaurants can develop their pricing strategies for the city residents III. The city is also home to many educational institutions and student population can act as a good target market for fast food restaurants to increase their market share. 343

9. Findings and Conclusion Findings have revealed the perception of consumer and their behavior in fast foods restaurants of Patiala city and we can say that there are factors like marital status, income and occupation which affect the frequency of consumers visit to these outlets. Fast food restaurants must consider these factors in terms of behavior and perceptions of the consumers to target their potential customers and draw the promotional strategies accordingly in the years to come. With the implementation of Smart cities project by the Govt. of India the competition is set to grow and fast food restaurants must gear up with innovations in their promotional aspect. 10. Limitations of the Study I. The study is confined to Patiala city only and provides opportunities for further investigations II. The study is confined to only three factors which are Income, Marital status and Occupation but this can be further supplemented with other factors like taste preferences, pricing factors and overall quality satisfaction by the consumers of Fast foods. III. Bias if any by the respondents during survey cannot be ruled out 11. References [1] Thakkar, K. and Thatte, M. (2014). Consumer perceptions of food franchise: A study of McDonalds and KFC. International Journal of Scientific and Research Publications,4 (3):1-5 [2] Goyal, A. and Singh, N.P. (2007), Consumer perception about fast food in India: An exploratory study. British Food Journal 109 (2): 182-195 [3] Wilcock, A, Pun, M, Khanona, J, & Aung, M 2004, Consumer Attitudes, Knowledge and Behavior: A Review of Food Safety Issues, Trends in Food Science. & Technology, Vol.15, pp. 56-66. [4] Priyadharsini, S.Annie.(2014). Consumer Behavior and the Marketing Strategies of Fast Food Restaurants in India. Indian Journal of Applied Research [5] Singh Chib, Sandeep. (2012). Relationship matrix between customer satisfaction and service quality in fast food industry - A comparative study of KFC and McDonalds. International Journal of Retailing & Rural Business Perspectives [6] Bender, A.E. and Bender, D.A. (1995), A Dictionary of food and nutrition, Oxford University Press, Oxford. [7] Thakkar, K. and Thatte, M. (2014). Consumer perceptions of food franchise: A study of McDonalds and KFC. International Journal of Scientific and Research Publications,4 (3):1-5 [8] Hamansu, S. M. 2008. Consumer behavior [cit. 05.12.2010] Available at http://knol.google.com/k/consumer-behaviour. Author s Biography Parminder Singh Dhillon --- Presently working as Asst. Professor, Dept. of Tourism, Hospitality & Hotel Management, Punjabi University, Patiala. Loaded with 22 years of practical experience in glamorous Hospitality industry including 10 years of teaching. Presently working as assistant professor in the Dept. of Tourism, Hospitality & Hotel Management, Punjabi University, Patiala as a founder faculty member of the dept. Life member of Indian Culinary Forum ( IFCA) Authored two books entitled I. Food & Beverage Production Management for Hospitality Industry published by Abhijeet Publications New Delhi II. Punjabi Hospitality(delicious recipes) published by Abhijeet Publications New Delhi. Core teaching area is Food and Beverage Production and Tourism Marketing 344