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Index of Paper Presentations for the Parallel Sessions - Academy of ...

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2. LITERATURE REVIEW2.1. Competing Theoretical Models (CTMs)In literature, <strong>the</strong>re are nine competing <strong>the</strong>oretical models: <strong>the</strong>ory <strong>of</strong> reasoned action (TRA), technology acceptancemodel (TAM), motivational model (MM), <strong>the</strong>ory <strong>of</strong> planned behavior (TPB), decomposed <strong>the</strong>ory <strong>of</strong> plannedbehavior (DTPB), model <strong>of</strong> PC utilization (MPCU), innovation diffusion <strong>the</strong>ory (IDT), social cognitive <strong>the</strong>ory(SCT), and unified <strong>the</strong>ory <strong>of</strong> acceptance and use <strong>of</strong> technology (UTAUT). Proposed study has chosen four CTMsbased on following two criteria: (a)Applications: The model should be applied extensively in different context <strong>of</strong> innovation adoption; and (b)Comparison: The model should be compared with any o<strong>the</strong>r existing <strong>the</strong>oretical models. This resulted in four CTMsstudying adoption <strong>of</strong> innovation: TAM, TPB, DTPB, and UTAUT.TAM posits that users‘ intention <strong>of</strong> using a new technology is mediated by two beliefs, ―perceived usefulness‖ and―perceived ease <strong>of</strong> use‖. Perceived usefulness refers to <strong>the</strong> extent to which an individual believes that <strong>the</strong> use <strong>of</strong> newtechnology will be helpful in improving his/her job per<strong>for</strong>mance. It comes from <strong>the</strong> definition <strong>of</strong> <strong>the</strong> word ―useful‖which means ―having a useful function‖. Perceived ease <strong>of</strong> use refers to <strong>the</strong> extent to which an individual believesthat <strong>the</strong> use <strong>of</strong> new technology is free <strong>of</strong> ef<strong>for</strong>t. It comes from <strong>the</strong> definition <strong>of</strong> <strong>the</strong> word ―ease‖ which means―freedom from difficulty or hardship or ef<strong>for</strong>t‖. In <strong>the</strong> course <strong>of</strong> its development, TAM has received extensiveempirical support through its applications in different technology contexts (Guriting and Ndubisi 2006; Lee et al.2007; Amin et al. 2008), comparisons with o<strong>the</strong>r competing <strong>the</strong>oretical models (Davis et al. 1989; Mathieson 1991;Taylor and Todd 1995; Venkatesh et al. 2003), and extensions (Venkatesh and Davis 2000; Gafen et al. 2003;Pikakarainen et al. 2004; Venkatesh andBala 2008). Given <strong>the</strong> extensive empirical support <strong>for</strong> TAM, it will be intriguing to see if <strong>the</strong>ir findings can beconfirmed in <strong>the</strong> digital natives‘ use <strong>of</strong> e-services also.TPB is one <strong>of</strong> <strong>the</strong> predictive persuasion <strong>the</strong>ories that link between <strong>the</strong> attitude towards <strong>the</strong> behaviour and behavioralintention <strong>of</strong> an individual. TPB talks about <strong>the</strong> ‗perceived behavioral control (PBC)‘, a conviction that one thinksthat he/she has control over internal as well as external factors that may facilitate or impede action that will leaddesired goal. TPB posits that in addition to attitude and subjective norm, PBC also have a significant impact on bothbehavioral intention and actual behaviour <strong>of</strong> an individual. Though several researchers have argued that, as opposedto TAM, TPB is better model to explain individual behavior (Ajzen, 1988). ). In IT literature, <strong>the</strong> effect <strong>of</strong> PBC onintention has mixed findings. In a direct test, Mathieson (1991) found that PBC did not have a significantrelationship with behavioral intention, though it did not provide substantial explanatory power.Several studies examining indirect effect <strong>of</strong> PBC have shown significant findings (Moore and Benbasat, 1993;Hartwick and Barki, 1994).Taylor and Todd (1995) have decomposed <strong>the</strong> predictors <strong>of</strong> TPB into various sub-components. They decomposedattitude into perceived ease <strong>of</strong> use, perceived usefulness and compatibility; subjective norms into peer influence andsuperior influence; and control beliefs into self-efficacy and facilitating conditions. Because it incorporatesadditional factors, such as <strong>the</strong> influence <strong>of</strong> significant o<strong>the</strong>rs, perceived ability and control that are not present inTAM, but have been shown to be important determinants <strong>of</strong> behavior (Ajzen 1991), it should provide a morecomplete understanding <strong>of</strong> usage.In 2003, Venkatesh and his colleagues (2003) proposed UTAUT after reviewing 8 innovation adoption <strong>the</strong>ories. TheUTAUT model has been empirically tested with 70% <strong>of</strong> dependent variable variance accounted <strong>for</strong>, much higherthan that <strong>of</strong> TAM and TPB. In model, <strong>the</strong> factors affecting behavioral intention include per<strong>for</strong>mance expectancy,ef<strong>for</strong>t expectancy, social influence, and facilitating conditions. Although UTAUT provides great promise to enhanceour understanding <strong>for</strong> technology acceptance, <strong>the</strong> initial UTUAT study focused on large organizations. In addition,<strong>the</strong> scales used in UTAUT model are new as <strong>the</strong>y are in combination <strong>of</strong> a number <strong>of</strong> prior scales, and <strong>the</strong>re<strong>for</strong>e, <strong>the</strong>suitability <strong>of</strong> <strong>the</strong>se scales needs to be fur<strong>the</strong>r tested. In UTAUT model, per<strong>for</strong>mance expectancy and ef<strong>for</strong>t

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