Shahpar Shams
Lecturer
Department of Business Administration, East West University, Dhaka, Bangladesh.
Loyalty, Switching behavior, Tea Brand.
Azimpur, Lalbagh, Dhaka University-R/A, Dhanmondi, Mohammadpur, and Mirpur.
Socio-economic and Policy
In this study, researchers conducted a qualitative research to properly identify the problem by using secondary data from different sources i.e. information from various publications, marketing related journals etc. After, getting an in-depth view of the problem, a descriptive research was conducted to find out factors that affect consumers’ loyalty and switching behavior. In this regard, several factors like need for drinking tea, expectations, perceived quality, perceived value, problem solving tendency of the companies as per consumers’ desire, image of a specific tea brand in consumers’ eyes and mind, were needed to measure consumers’ satisfaction/dissatisfaction toward a brand, and consequently which factors might drive consumers to be loyal to a brand or switch to other brands. In order to pursue consumers’ relationship with a specific brand (satisfaction level to measure loyalty; otherwise dissatisfaction level that might incite switching behavior), these aforementioned factors were also examined to look for whether they contribute in a positive manner. To measure customers’ loyalty base with a brand, customers bonding to a brand was also required to determine. For this purpose, primary data was collected from different target group of tea drinkers. Researchers of this study collected quantitative data from the customers of tea through a survey. As the study was attempted to identify the factors that drive consumers’ loyalty to a specific tea brand or switching behavior, the strength of relationship between the identified factors and consumers’ loyalty was needed to examine. In order to examine the associative relationship, multiple regression analysis has been used and thus one dependent variable and multiple independent variables were required. To conduct multiple regression analysis, metric scaled (interval or ratio scaled) data on dependent and independent variables was required. Therefore, a non-comparative scaling technique (see detail in scaling technique) was applied in this study. A questionnaire using 7 point likert scale was designed to collect data from 120 respondents. For the purpose of analysis, multiple regression analysis had been used to determine the strength of relationship between the dependent variable and one or more independent variables. Finally, cross tabulation was also used in order to understand male or female consumers’ switching possibilities over different tea brands. In this study, descriptive research design was adopted to describe salient factors and product features that influence consumers’ loyalty and switching behavior. Consumers’ opinion regarding their expectations, perception, perceived value, image of a brand, overall feelings and judgment regarding a brand was collected through a survey. In addition to this, researchers also collected data through several previous research works, web information, and several journals and magazines. In this study, convenience sampling, a nonprobability sampling technique had been used to select respondents where the selection of sampling units is left primarily to the interviewer. Survey was conducted with both male and female consumers from households who drink tea. The respondents were selected from Dhaka regions. To be more specific, the areas were Azimpur, Lalbagh, Dhaka University-R/A, Dhanmondi, Mohammadpur, and Mirpur. The researcher first used regression analysis to conclude effect of different factors on consumers’ loyalty level and then bivariate cross tabulation to find out consumption trend of female and male consumers. In this study, multiple regression was used to determine the strength of relationship between the dependent variable, consumers’ loyalty, and more than one independent variables.
Philosophy and Progress: Vols. LV-LVI, January-June, July-December, 2014; ISSN 1607-2278
Journal