Browsing by Author "John, Surej P."
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ItemAn Empirical Study about the Role of Personality Traits in Information Technology Adoption( 2014) Tipa Sriyabhand ; John, Surej P.This paper investigates the relationship between personality traits and their Information Technology (IT) adoption. The study used the Five Factor Model (FFM) to assess the personality of individual users who adopt social networking technologies using their mobile devices. This research is conducted among 320 social networking users in Thailand. Based on the theoretical background of Technology Acceptance Model (TAM) and FFM, a conceptual model is developed and empirically tested. The study found that extraversion, agreeableness are positively and significantly influenced social networking behavior. The results also reveal that neuroticism and conscientiousness are negatively associated with social networking behavior. The results of the study will help the marketers to identify target segments and implement communication tools more effectively over social networking sites.
ItemHow online trust influence B2C e-Commerce adoption? An empirical study among Asian online shoppers( 2012-08) John, Surej P.Though many previous studies has proved the importance of trust from various perspectives, the researches about online consumer’s trust are fragmented in nature and still it need more attention from academics. Lack of consumers trust in online systems is a critical impediment to the success of e-Commerce. Therefore it is important to explore the critical factors that affect the formation of user’s trust in online environments. The main objective of this paper is to analyze the effects of various antecedents of online trust and to predict the user’s intention to engage in online transaction based on their trust in the Information systems. This study is conducted among Asian online consumers and later the results were compared with those from Non-Asian regions. Another objective of this paper is to integrate De Lone and McLean model of IS Success and Technology Acceptance Model (TAM) for measuring the significance of online trust in e-Commerce adoption. The results of this study show that perceived security, perceived privacy, vendor familiarity, system quality and service quality are the significant antecedents of online trust in a B2C e-Commerce context.
ItemMeasurement of B2C e-commerce acceptance in Thailand : an application of unified theory of acceptance and use of technology(Bangkok : Assumption University, 2013) John, Surej P. ; Winley, Graham
ItemWhat are the Factors Influencing the Information Technology Adoption in Asian Region? A Study of the B2C E-Commerce Systems Success( 2012) John, Surej P.During this decade, large numbers of researchers investigate the success factors of B2C e-commerce systems. This may be due to the increased popularity of internet and its wide range of applications on personal as well as business use. However it is to be noted that majority of these studies were conceptual studies. Though some empirically validated studies were published on B2C e-commerce systems, very few focused on Asian consumers. The study aims to fill this gap by studying e-commerce success factors among Asian online consumers. Another important objective of this study is to re-specify the updated DeLone and McLean model by including essential factors such as trust and perceived cost of transactions, perceived value and thereby form a new model for measuring e-Commerce success. The research generated 7 inter related dimensions of e-commerce system success which are information quality, system quality, service quality, perceived cost, perceived value, online customer satisfaction and Repurchase Intention. Results show that the customer satisfaction and perceived value of the transactions are the two important factors primarily influencing Asian online users. Results show that online customer satisfaction is influenced by factors such as perceived value, service quality, information quality and system quality. This study also found the significant negative relationship between perceived cost and perceived value of the transactions while shopping online.