Introduction:
The advancement in the internet technologies (2G, 3G) as well as the mobile communication industry along with the increasing popularity of mobile communication devices such as smart phones, tablets, net books and laptops, has led to the emergence of mobile commerce as an alternative business model. Mobile phone today is considered as a lifestyle device and not just a tool to connect (Thakur & Srivastava, 2012). Its functionality has gone far beyond the function of merely connecting people to a host of other functions such as internet surfing, entertainment, online shopping and the like. All these reasons accounts for its increased popularity.
The term m-commerce was defined for the first time as "the delivery of electronic commerce …show more content…
One of the most widely accepted and highly cited model is Technology Acceptance Model (Davis, 1989; Davis et. al., 1989). Since 1989, TAM has been applied by numerous researchers to study adoption intention of consumers with respect to different technologies and information systems (Venkatesh and Davis, 2000; Venkatesh et.al., 2003; Bax & Gill, 2003; Thakur & Srivastava, 2012; Chong et.al., 2012; Yang, 2012; Zhang et.al., 2012; Chong, 2013). According to TAM, an individual’s behavioural intention to adopt any system depends on the extent to which it is perceived to be useful as well as easy to use, i.e. on Perceived Usefulness and Perceived Ease of Use. Numerous empirical studies have developed models building upon TAM and have found to explain a substantial proportion of variance in adoption intention by the two constructs of it (about 40%) (Venkatesh & Davis, 2000). However, it was felt that by including the impact of Social Influence in this model, its predictive value might increase, as a result social influence processes (subjective norm, voluntariness, and image) and cognitive instrumental processes (job relevance, output quality, result demonstrability, and perceived ease of use) were also included in the original Technology Acceptance Model naming it as TAM2 (Venkatesh & Davis, 2000). For the purpose …show more content…
Items selected for each of the constructs were adapted from previous studies. All the questions related to independent variables, were surveyed on a Likert Scale ranging from 1 (as strongly disagree) to 5 (as strongly agree). Adoption intention which is a dependent variable in this study, comprising of 3 items was surveyed on a Likert Scale ranging from 1 (as highly improbable) to 5 (as highly probable). The construct wise list of survey items are listed
The advancement in the internet technologies (2G, 3G) as well as the mobile communication industry along with the increasing popularity of mobile communication devices such as smart phones, tablets, net books and laptops, has led to the emergence of mobile commerce as an alternative business model. Mobile phone today is considered as a lifestyle device and not just a tool to connect (Thakur & Srivastava, 2012). Its functionality has gone far beyond the function of merely connecting people to a host of other functions such as internet surfing, entertainment, online shopping and the like. All these reasons accounts for its increased popularity.
The term m-commerce was defined for the first time as "the delivery of electronic commerce …show more content…
One of the most widely accepted and highly cited model is Technology Acceptance Model (Davis, 1989; Davis et. al., 1989). Since 1989, TAM has been applied by numerous researchers to study adoption intention of consumers with respect to different technologies and information systems (Venkatesh and Davis, 2000; Venkatesh et.al., 2003; Bax & Gill, 2003; Thakur & Srivastava, 2012; Chong et.al., 2012; Yang, 2012; Zhang et.al., 2012; Chong, 2013). According to TAM, an individual’s behavioural intention to adopt any system depends on the extent to which it is perceived to be useful as well as easy to use, i.e. on Perceived Usefulness and Perceived Ease of Use. Numerous empirical studies have developed models building upon TAM and have found to explain a substantial proportion of variance in adoption intention by the two constructs of it (about 40%) (Venkatesh & Davis, 2000). However, it was felt that by including the impact of Social Influence in this model, its predictive value might increase, as a result social influence processes (subjective norm, voluntariness, and image) and cognitive instrumental processes (job relevance, output quality, result demonstrability, and perceived ease of use) were also included in the original Technology Acceptance Model naming it as TAM2 (Venkatesh & Davis, 2000). For the purpose …show more content…
Items selected for each of the constructs were adapted from previous studies. All the questions related to independent variables, were surveyed on a Likert Scale ranging from 1 (as strongly disagree) to 5 (as strongly agree). Adoption intention which is a dependent variable in this study, comprising of 3 items was surveyed on a Likert Scale ranging from 1 (as highly improbable) to 5 (as highly probable). The construct wise list of survey items are listed