Ijraset Journal For Research in Applied Science and Engineering Technology
Authors: Dr. Rajeev Chaudhary
DOI Link: https://doi.org/10.22214/ijraset.2022.44804
Certificate: View Certificate
I. INTRODUCTION
Globalization has made strong changes in world economy and it has presented lots of opportunities for business houses and industries-specifically hospitality services. The hospitality industry today is a various combination of ownership patterns and varying management structures which offer a variety of services. However, the basic product, which is the Drink-Food, remains the same. With the emergence of weekend culture in metros, growth in standard of living of service class people, emergence of mall and retail culture, the Indian restaurant industry has a profitable future. Customers usually consider various factors before making a choice for a restaurant. These factors may be understand as service, taste, cleanliness, location, charge, payment mode, loyalty, free gifts, variety in terms of food available., brand name etc. These are the reasons due to which identification of customer preference becomes a needy element for hospitality management.
One consumer would in general have different consumption behaviors or preferences from another. He may spend money on computers and technical books, while the other may spend on clothing and food. Availability of this information on consumer preference will be of great value to a marketing company, a bank, or a credit card company that can use this information to target different groups of consumers for improved response rate or profit. By the same token, information on consumption preference of the residents in one specific region can help businesses in planning their operations in this region for improved profit. Therefore, it is very important to have a tool that can help to analyze consumer's behaviors and forecast the changes in purchase patterns and changes in purchase trend.
The study found links between consumer preferences and the restaurant's attributes. The study depicted (by analysis of various factors) how consumers get attracted towards a restaurant. This study provided a guideline for the marketer to understand consumer preferences regarding restaurant selection.
II. REVIEW OF LITERATURE
Carroll, Siguaw, Cornell (2003) discovered that the rise of internet-based room reservations is presenting a challenge for controlling distribution, while also working with intermediaries that can help sell rooms to hoteliers. Electronic distribution of room information, prices, and availability are major choice factors that customers use to reserve hotel rooms. Reservations, which used to come through travel agents and hotel chains' call centers, are now being generated online by individual customers and corporate travel planners. Customers are using online intermediaries to contact hotels or chains.
Cheah, Jeanie (2008) identified that in restaurants of southern India, using the large leaf as a plate is not a surprise. Right way to eat would be with the fingers, but many non-Indian diners choose to use the cutlery. It certainly takes away worry of removing the curry and masala stains after a satisfying meal. Moreover, it states that using fingers to scoop up the food is more complicated.
Rodriguez, Berges, Casellas (2002) explained the Argentinean consumers are less likely to buy fresh fruit and vegetables, red meat, and bread at a supermarket. They would rather buy these from shops offering personal attention and services for those products. It shows that controlling for region- the more the education, income, durable assets like: car, refrigerator etc are responsible. These can be understood as region, parity and structure.
Fraj, Martinez (2007) focused on environmental and natural attitudes as predictor of ecological behavior of consumers.
A three-dimensional approach to this variable has been developed by the researchers. It explains the factors as emotional, cognitive and co- native components. In his study, random sample survey of 573 individuals was used to verify the conceptual model and framework. This model was assessed firstly by principal factor analysis and then by structural equation modeling. Findings of this study showed that environmental attitudes have an important influence on ecological behavior.
Sukalakamala, Boyce (1998) discovered the importance of knowing consumer preferences and observed that demand estimation is essential to success. This research investigated customers' perceptions, acceptance and expectations. This study was focused related to an authentic Thai dining experience. This research examined the degree of authenticity which customers expect from the dining experience. One of the major goals of this research is to provide facts for restaurant's owners/managers. Their service must be based on customer expectations for an authentic cuisine experience.
Strugnell (1997) focuses on Irish consumers as to why they are becoming more accustomed to ethnic cuisine although traditional meals are popular.
This paper focused on a consumer questionnaire designed to examine consumer attitudes towards consumption of chilled ready meals. This study was done in both the north and south of Ireland. This formed part of a larger study on a selected range of chilled ready meals.
It was found that consumption of these products is higher in Ireland than in the UK mainland. The products are often purchased as a convenient alternative or a weekly treat. Respondents in urban locations were significantly more likely to consume chilled ready meals comprising of men, younger and single respondents.
McCoolb, Feinstein (1998) examined attributes that contribute to consumer meal choice decisions within a prix fix menu. The results showed that consumers consider value for price as the most important consideration for their meal bundle choices. The results also showed that familiar and healthy foods also contribute to the selection process. However, consumers avoid the risk of choosing new menu products.
Drawing on ideas of consumer purchase behavior, factors potentially influencing consumers' meal choice are identified and empirically tested.
III. OBJECTIVES OF THE STUDY
IV. RESEARCH METHODOLOGY
A. The study
The study was exploratory in nature with survey method being used to complete the study.
B. Sampling Design
V. TOOLS FOR DATA COLLECTION
Self-designed questionnaire was used for identification of underlying factors responsible for consumer preference regarding selection of a restaurant. Data was collected on a Likert type scale, where I stands for minimum agreement and 7 stands for maximum agreement.
VI. TOOLS FOR DATA ANALYSIS
Item to total correlation was applied to check the internal consistency of the questionnaire.
VII. ANALYSIS OF CONSISTENCY
First of all, consistency of all the factors in the questionnaire was computed by applying item to total correlation analysis. Under this, correlation of every item with total is measured and the computed value is compared with the standard value (0.159). If the computed value is found less than the standard value, then the whole statement will drop and will be termed as inconsistent; if the value is found to be more than the standard value, then the statement is termed as consistent.
If the item of total correlation was above the standard value for all, the factors affecting the consumer preference are found to be consistent.
Table no.1 : Table of Correlation |
|||
Item |
Coefficient of Correlation |
Consistency |
Accepted/Dropped |
Menu Variety |
0.464 |
Consistent |
Accepted |
Reasonable Price |
0.188 |
Consistent |
Accepted |
Promptness Of Service |
0.469 |
Consistent |
Accepted |
Sitting Arrangemen |
0.451 |
Consistent |
Accepted |
Quality of Food |
0.392 |
Consistent |
Accepted |
Quality of Beverages |
0.239 |
Consistent |
Accepted |
Waiter's Attire |
0.294 |
Consistent |
Accepted |
Cleanliness |
0.391 |
Consistent |
Accepted |
Interior |
0.552 |
Consistent |
Accepted |
Staff's Friendliness |
0.522 |
Consistent |
Accepted |
Accessibility |
0.321 |
Consistent |
Accepted |
Staff's Responsiveness |
0.388 |
Consistent |
Accepted |
Relaxing Atmosphere |
0.349 |
Consistent |
Accepted |
Separate Seating Arrangement For Family |
0.311 |
Consistent |
Accepted |
Attitude of Staff |
0.425 |
Consistent |
Accepted |
Cuisine |
0.501 |
Consistent |
Accepted |
Special Events at Restaurant |
0.389 |
Consistent |
Accepted |
Physical Appearance |
0.564 |
Consistent |
Accepted |
Location |
0.530 |
Consistent |
Accepted |
Staff's Courtesy |
0.456 |
Consistent |
Accepted |
Attentiveness of Staff |
0.477 |
Consistent |
Accepted |
Availability of Payment Options |
0.514 |
Consistent |
Accepted |
Parking Place |
0.441 |
Consistent |
Accepted |
Discounted Packages |
0.392 |
Consistent |
Accepted |
Take Home Facility |
0.160 |
Consistent |
Accepted |
Past Experience |
0.166 |
Consistent |
Accepted |
Behavior of Staff |
0.210 |
Consistent |
Accepted |
VIII. RELIABILITY MEASURE
Reliability test was carried out using SPSS software and reliability measure is given below:-
Cronbach’s Alpha |
0.777 |
N of Item
|
27
|
It can be seen that reliability value is above to 0.700 in the reliability method applied. So the questionnaire is highly reliable.
IX. ANALYSIS OF VALIDITY
The Face validity method was applied to the questionnaire and it was found to be satisfactory.
X. FACTOR ANALYSIS
In order to find out the factors affecting the selection of restaurants: A Consumer Preference, SPSS software was used. This analysis considered 27 items and all of them were accepted. Principle component using varimax rotation in SPSS software has resulted in seven factors.
Firstly, the data of the item was coded in SPSS software; then Eigen Value is calculated which gave the of and variance. The total analysis is explained in four ways i.e. first is factor name, second is Eigen value, third is statement, fourth is loading.
XI. DESCRIPTION OF FACTORS
Table 2 : Table of Factor Analysis |
|
|||
Factor Name |
Eigen |
Value |
Statements |
Loading |
|
Total |
% Variance |
|
|
Payment options and behavior of staff |
4.760 |
17.631 |
22-Availability of payment options |
0.753 |
|
|
|
21- Attentiveness of staff |
0.745 |
|
|
|
18- Physical appearance |
0.682 |
|
|
|
17- Special event |
0.663 |
|
|
|
19- Location |
0.588 |
|
|
|
20- Staff's courtesy |
0.583 |
|
|
|
23-Parking place |
0.539 |
Ambience and Experience |
2.676 |
9.91 |
15- Attitude of Staff |
0.740 |
|
|
|
13- Relaxing Atmosphere |
0.639 |
|
|
|
14-Separate seating arrangement for family |
0.607 |
|
|
|
16- cuisine |
0.598 |
|
|
|
12- Staff's responsiveness |
0.581 |
|
|
|
11-Accessibility |
0.488 |
Comfort and promtness |
1.923 |
7.123 |
03- Promptness of service |
0.742 |
|
|
|
04- Sitting Arrangement |
0.741 |
Presentation |
1.680 |
6.222 |
07- waiter's attire |
0.703 |
|
|
|
09- Interior of the restaurant |
0.654 |
|
|
|
10- Staff's attitude |
0.517 |
Packages and Service |
1.534 |
5.681 |
24- Discounted packages |
0.717 |
|
|
|
25- Take away facility |
0.656 |
Behavior and loyalty |
1.405 |
5.204 |
27- behavior of staff |
0.685 |
|
|
|
26-Past experience |
0.755 |
Hygience and Quality food |
1.245 |
4.611 |
05- Quality of food |
0.713 |
|
|
|
08- Cleanliness |
0.559 |
Price |
|
|
02- Reasonable price |
0.834 |
Quality of bevrages |
1.030 |
3.815 |
06- Quality of beverages |
0.638 |
XII. SUGGESTIONS
In the present business scenario, identification of consumer preference has become a crucial element. In this study, we found that consumers prefer those restaurants that provide the maximum degree of satisfaction. By this study, it has been concluded that various factors are responsible for affecting the choice of consumers regarding restaurants. The restaurant management can increase their sale and market share by taking into account these underlying factors. The various factors are payment options and behavior of staff, presentation, price, hygiene and quality of food, quality of beverages, ambience and experience, behavior and loyalty, comfort and promptness, packaging and service.
[1] Fraj. E, Martinez. E,\" Ecological Consumer Behavior: An Empirical Analysis\" International Journal of Comer Nudies, Vol 31, Issue 1, (pp.26-33) [2] Grunert.KG,(2005) \"How Changes in Consumer Behavior and Retailing Affect Competence Requirements for Food Producers and Processors” [3] Aarhus School of Business Marketing and Statistics, Economia y, Recursos Naturales, Vol. 6, No. 11, and (pp. 3-22) [4] Rodriguez, Paola R.Lupin B, Lauragamido Gentile N, “Consumer Behavior and Supermarkets in Argentina\". Development Policy Review, Vol. 20,(pp -429-439), 2002 [5] Shan O.C., Ceber 2 2001) “Key Aspects on Consumer Behavior of Hong Kong Internet Non-Shoppers- An Empirical Study”, Net Holdings Limited –General. [6] Strugnell. C., (1997),”factors affecting consumer acceptance of chilled ready meals on the island of Ireland\", Hospitality Tourism and Consumer Studies, University of Ulster at Jordanstown. Shore Road, Jordanstown, Co Antrim BT37 0 QB, Northern Ireland, UK [7] Sukalakamala, Boyce. J.B,- Belt (2005), “Customer perceptions for expectations and acceptance of an authentic dining experience in Thai restaurant” [8] Hospitality and Retailing (NHR), MS 41162. Texas Tech University. Lubbock, TX 79409, USA. [9] Plaschka, Gerhard, Cornell (Dec,2002), \"Understanding customer choices: a key to successful management of hospitality services”Restaurant Administration Quarterly,
Copyright © 2022 Dr. Rajeev Chaudhary. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Paper Id : IJRASET44804
Publish Date : 2022-06-24
ISSN : 2321-9653
Publisher Name : IJRASET
DOI Link : Click Here