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    • br Methodology The present study

    2018-10-29


    3. Methodology The present study has attempted to develop an index named as Technology Adoption Index (TAI). The existing research has pointed out that Dabrafenib Supplier the personal disposition of the individuals depicts general tendency of the individuals towards technology adoption since the personal disposition comprises of personal traits (Ratchford & Barnhart, 2011). Thus in the present context, technology has been conceptualized as the application of science to serve industrial as well as domestic objectives. Further, due diligence procedure has also been adopted relating to the generation of items. For keeping the focus of the present paper on technology used by individuals at personal and professional life, neither any specific technology has been mentioned nor any item indicated towards a particular technology.
    4. Discussion and implications The present composition has endeavored to explore the factors that impinge on the decision of the individuals to adopt technology. Based on the seven personal traits, namely, optimism, innovativeness, self-efficacy, risk taking propensity, habit, psychological resilience and social influence, a 45-item composite index named as Technology Adoption Index has been developed. The TAI developed in the present composition has highlighted significant contribution of seven personal traits of the customers (i.e., OP, SE, SI, IN, RT, HB and PS) in their personal disposition towards technology adoption. Eventhough studied from different perspective and in different settings, these seven personal traits have been found to play significant role in the technology adoption phenomenon of the customers in the relevant literature. The results of TAI comply with the findings of the studies, such as, Baraghani (2008), Chang and Kannan (2006), Guhr, Loi, Wiegard, and Breitner (2013), Parasuraman (2000), Shambare (2013), Saade and Kira (2009), etc. wherein OP and IN have been revealed to cause significant contribution in shaping the personal disposition of the customers towards technology adoption. Further, studies, such as Hagger, Chatzisarantis, and Biddle (2001), Md. Shoki et al. (2012), Srivastava (2007), Veijalainen (2003), Wan, Luk, and Chow (2005), etc. have uncovered significant impact of personal traits, namely, SE, RT, SI and HB either on the behavioral intentions of the customers towards technology adoption or on their attitude towards technology adoption. While, results of TAI indicates that these personal traits exhibit significant role in manifesting the personal disposition of the customers towards technology adoption. Also, the present study has unveiled significant role of PS in shaping the personal disposition of the customers, thereby, enriching the extant literature in this regard. The concept of PS has not been explicitly studied in the technology adoption literature though studies, such as Luthans et al. Dabrafenib Supplier (2005) and Venkatesh et al. (2003) have stated that the previous experience of the customers with the technology of same or different kind cause significant impact on their technology adoption decision. Further, the results have also congregated with the earlier research literature and confirmed that technology adoption propensity of individuals increase with income and qualification but decrease with the progression in their age (Agarwal & Prasad, 1999; Gilly & Zeithaml, 1985; Hitt & Frei, 2002; Ittersum et al., 2006; Morris, Venkatesh, & Ackerman, 2005). Usually at younger age, individuals are more fervent to try new and innovative technologies owing to their ability of taking risks and recouping from the technology failures. For that reason, younger individuals have higher proclivity towards technology adoption but as the age progresses; the propensity to adopt technology diminishes owing to the establishment of hard-to-change strong belief system developed by individuals over the period of time out of their experience and learning. Unlike age, income of the individuals shares positive relationship with their technology adoption propensity. Income augmentation raises the level of funds available at the discretion of individuals which may raise their risk taking ability and this, in turn, may enhance their technology adoption propensity. On the contrary, the availability of limited financial resources at disposal of the individuals may restrict them to adopt new and improved technologies. Also, the results have highlighted that the propensity of the individuals to adopt technology amplifies with increase in their qualification levels. High qualification strengthens the mental ability and boosts the confidence level of the individuals. Owing to this, individuals perceive new and improved technologies more useful and easy to use and this, in turn, may enhance their propensity towards technology adoption.