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

theory, itemized system uses as feedback that is supported by motivation from the users where this motivation further depends on stimulus from the environment. Stimulus Organization Response Figure 1: Background graphics depicting TAM (Davis, 1985) Motivation from user is divided to three which are 1. Perceived Ease of Use (PEOU) – level at which individual financial users expect the target system is used effortless 2. Perceived Usefulness (PU) – belief by user that making use of the new system will enhance his/her performance and value will be delivered 3. Attitude toward using the system Figure 2: Advanced Graphic display of TAM by Davis 1989 TAM model has been used in many investigative research across the globe such as evaluation of e-learning systems acceptance by teachers by Shafeek 2011, study of online shopping behaviour by Zhou et al, acceptance of e-commerce with consideration of trust and perceived risk by Parlou 2003. Most research studies have shown reliable results in the various application of the model. As beautiful and widely accepted as TAM theory is, the weakness lie in the fact that social and organization factors were not accommodated in its construct. Perhaps these two factors have considerable impact in influencing innovation in technology and its adoption. b) Theory of Reasoned Action, Theory of Planned Behaviour and Theory of Perceived Risk Theory of Planned Behaviour is an extension of Theory of Reasoned Action while TRA stated the important role attitude takes in consumers intention to engage in some behaviours (Ajzen 1991), TPB extends the theory by adding perceived behavioural control (Taylor & Todd, 1995). This indicated existence of factors that can aid or hinder performance of a certain behaviour. Some behaviour of an individual performance depends on personal intention which is affected by attitudes and subjective norms (Sanayei & Bahmani, 2012). Conclusively Ajzen and Fishbein 1977, affirmed that an individual with strong believe in positive outcomes will exhibit positive attitude about the behaviour, while negative attitude will be shown when individual expects negative consequences such as loss in perceived risk. Perceived risk is uncertainty that might lead to loss in future. Theory of perceived risk was initially proposed by Bauer in 1960 to describe consumer behaviour considering perceived risk in subject term. Over the years, more studies from Cox (1964, 1967), Rich (1964), Cunnigham (1967), Amdt (1968) and Schiffman 1972, Lutz and Reilly (1973) among others have elaborated the concept of perceived risk. It was commonly seen as factor that has adverse effect on perceived intention by consumers. In accordance with Ryu (2018) claim, perceived risk is splitted into four classes which affect Fintech adoption behaviour. 1. Financial Risk 2. Security Risk 3. Operational Risk 4. Legal Risk The proposed research questionnaire can bedrafted based on these four classes of the perceived risk. System Features and Capabilities User’s Motivation to use System Actual System Use Perceived Usefulness Attitude towards using a system Perceived Ease of Use External Behavioural intention to use B Actual System Use 20 Global Journal of Management and Business Research Volume XXII Issue I Version I Year 2022 ( ) A © 2022 Global Journals Discussion on Fintech Adoption Research Variables