Global Journal of Management and Business Research, A: Administration and Management, Volume 22 Issue 1

independent variables in six then our sample size can be range between 90 and 120. Another advantage of sample to variable ratio is that the research is interpretative in nature and generalization of final outcome is not necessary. Calculator.net launched in 2015 is commonly used sample size calculator just like Raosoft Sample size calculator and KMT (Krejie & Morgan, 1970). Many researchers like Amzat et al 2017, Cruz et al 2014 and Fernades et al 2014 testified to ease of use and its satisfactory outcomes. Making use of calculator.net with the applicable parameters is shown below. With this, the number of respondents for the research work will produce confidence level of 95%. Fintech adoption study is quantitative and Structural Equation Model is often used in treating the linkages among the constructs and the dependent variable, thus sample size below 200 will not be suitable (Kline 2005 and Kline 2016). b) Methods of Data Collection For proper conduct of fintech adoption research study, empirical data will be collected using questionnaire survey approach. Questionnaire survey is very suitable for acquiring data in Information Science as related by Chen Lin, 2019. Bryman, 2013, a questionnaire survey will allow us collect large amount of data needed for this investigation in order to appropriately mask behaviours of fintech users. Questionnaire can be easily processed statistically and result analyzed with much convenience. The research will make use of convenient sampling technique to carry out the survey. Convenient sampling is efficient, simple to use and implement as questionnaire will only be shared among users that are conveniently available for the study. Convenience sampling is regularly used in the field of social science due to its proximity, accessibility, willingness and quick response (Jager et al, 2017). Most fintech adoption research is to analyze important factors which impact adoption of Fintech services. The investigation to analyze behavioural intentions of users will be achieved empirically by collecting data through survey method. Specifically, survey method is chosen, being a quantitative data collection technique used to collect data that are close- ended in nature from selected respondents. Many research studies in Fintech adoption subject area used quantitative research methodology as claimed by Noofa et al, 2020 and thus, most researches align with that stand. The survey questionnaire will be prepared by the researchers and administer to financial users on the field. The questions will be interval-based (Likert Scale). The key segment of the questionnaire will be drafted to investigate the factors influencing the user adoption of Fintech services based on model selected (TAM, UTAUT, TRA, TPB and TPR). Each item bundled 24 Global Journal of Management and Business Research Volume XXII Issue I Version I Year 2022 ( ) A © 2022 Global Journals Discussion on Fintech Adoption Research