Puri Sujata Barua Akshay Sharma 09BSHYD1012 09BSHYD0386 09BSHYD0765 09BSHYD1032 09BSHYD0807 09BSHYD0866 09BSHYD0060 1 INDEX CONTENTS INTRODUCTION LITERATURE REVIEW HYPOTHESIS FORMATION DATA & SAMPLE SIZE CONSOLIDATION RESEARCH METHODOLOGY ANALYSIS CONCLUSIONS REFERENCES ANNEXURES PAGE 3 5 8 9 11 12 20 22 24 2 INTRODUCTION The modern age is known as the “Age of Consumers”. In today‟s cut-throat competition the consumer is considered as the “KING” and the main objective of the various
Premium Factor analysis Principal component analysis Levi Strauss & Co.
the Questionnaire in this case) and also to provide proxy data for selection of a probability sample. Based on the pilot survey results‚ the questionnaire was refined and the final Questionnaire for carrying out the actual research was designed. Analysis was done based on the data obtained from Pilot Survey using SPSS and the results obtained were also used in estimating the sample size for the actual research. The pilot survey would then be followed by the actual research which would involve collecting
Premium Snack foods Sampling Factor analysis
for the paper has helped to complete the assignment within given time. I also acknowledge the contributions of the librarian of IBS MUMBAI for allowing me to utilize the library facilities. Table of contents * Back ground study * SWOT Analysis * Methodology * Objectives of the study * Scope of study * Data collection * Results and finding of the research * kmo and bartlets test * Factors to be extracted * Scree plot *
Premium Factor analysis Principal component analysis
James M.(1990) - Consumer Perceptions of Service Quality: An Assessment of the SERVQUAL Dimensions‚ Journal of Retailing; Vol. 66‚ No. 1; Spring 1990‚ pp 33-55. Hair‚ Joseph‚ Anderson‚ Rolph‚ Tatham‚ Ronald‚ Black‚ William (1995)- Multivariate Data Analysis with Readings‚ 4ª ed.‚ New Jersey‚ Prentice-Hall Inc. Johnston‚ R. (1995)‚ The Zone of Tolerance: exploring the relationship between service transactions and satisfaction with the overall service‚ International Journal of Service Industry Management
Premium Factor analysis Principal component analysis Psychometrics
Objective This study aims at making a comparative analysis of the factors that determine the choice of a consumer purchasing a cell phone i.e. Appearance v/s Functionality and support the findings with statistical evidence. This research will allow us to predict the future trend of cell phone sales by providing insight into customer preferences and relation between customer profile and desired features. Research Question What motivates consumers to buy a particular cell phone? Variables
Premium Mobile phone Factor analysis Cellular network
APPLICATION OF QUALITY GAP MODEL TO MEASURE QUALITY OF PHARMACISTS SERVICE IN RETAIL PHARMA SETTINGS Introduction Pharmaceutical market in India is about $ 11.1 billion growing at the rate of 17.6% and expected to reach $20 billion (Rs. 88‚820 crore) by 2015.India’s pharma market is 13th largest in terms of the value and 4th largest in terms of the volume. Currently only 1%-3% of the pharma retail is in the organized sector. The size of India’s pharmacy retail market is estimated at $4.5 billion
Premium Quality of service Retailing Psychometrics
active fraction called colored dissolved organic matter (CDOM) together with the help of its colloidal components‚ tracing of DOM can be possible. Through different methods and instruments such as fluorescence excitation-emission spectroscopy‚ parallel factor analysis (PARAFAC)‚ isolation-fractionation technique (pairing of fluorescence and absorbance spectroscopy)‚ and satellite remote sensors‚ analysis of DOM can be done which can help elucidate its dynamics in aquatic environments. Introduction When
Premium Light Photon Chemistry
* Principle Component Analysis (PCA) PCA is a method which can reduce the large dimensionality of the data. It can find several unrelated basis vectors to replace the large amount of variables before and the new variables can also represent the primary information as faithfully as possible. * Multiview Face Hallucination (MFH) MFH is a simple and efficient method to generate high-resolution multiview faces from a single low-resolution one. * Linear Discriminant Analysis (LDA) LDA is
Premium Facial recognition system Principal component analysis
Indraprastha University‚ New Delhi‚ India b a r t i c l e i n f o Article history: Received 23 January 2010 Received in revised form 29 June 2010 Accepted 29 June 2010 Keywords: Hospitality Crisis management Importance-performance analysis (IPA) a b s t r a c t This study examines hospitality crisis management practices within the context of the Indian hospitality industry. The study is a replication of a study previously conducted in Israel. The study employs a questionnaire
Premium Hotel Factor analysis Hotel manager
furniture purchaser. Design/methodology/approach – The research model and the relevant research hypothesis were set up through the data derived from the existing researches‚ and then the relevant hypothesis was tested through regression analysis. Findings – As result of analysis‚ the influencing factors on customer satisfaction of furniture purchaser in the internet shopping mall were proved to be product diversity of service quality‚ tangibles‚ responsiveness‚ interaction‚ stability‚ and customer satisfaction
Premium Retailing Regression analysis Factor analysis