Technology Apprehensiion

Customers’ attitude towards digital applications: Customer of John’s bakery usually uses the John’s Bakery website, phone call and Facebook page to do the pre-order so the customers can pick up on the date with the fresh product. (From customer survey result analysis

Technology has changed drastically from the 1970s to now. We have exceeded what most people back then could ever imagine. The technology used in schools, homes, and in public places has evolved into technology that makes the “cutting edge” technology of the 70s look very simple. Things such as the personal computer, the cell phone, electronic games, TVs, and even watches have changed completely. The ways that they have exceeded expectations is truly unbelievable.

Technology is rapidly changing our lifestyles on a daily basis. From how we entertain ourselves, how we stay in contact with one another, all the way to how we pay our bills. Successful attempts within the world of information technology have significantly changed the way we do business as well. Web and mobile-based applications created a new platform for businesses to expose themselves to new clientele, along with staying abreast to what competitors are using to compete with them. Individual use of these web and mobile-based applications can help a user upgrade his or her own standing in the business world as well, which is what I would like to talk about in this essay. In

The ethical-economic argument is built upon the concept of social hierarchy influencing involuntary ICT non-use (Anderson 184). Involuntary ICT non-use occurs when employees wish to use new technology, but are unable to (Anderson 184). Technology acceptance theories cannot predict the lack of ICT use when employees have previously accepted

This approach as proposed by Benbasat and Barki [28] for the technology acceptance model is believed to be able to help generate actionable information on how to “create” the antecedents to the desired success of information technology artifacts. Some applicable theories that can be reverse-engineered are:

the results of the analysis. Section VI discusses the findings and the limitations of the study. Future research directions are also outlined. Section VII concludes the paper. II. INNOVATION DIFFUSION AND THE S-CURVE GROWTH MODEL Over the last three decades, a considerable body of literature has accumulated on the characterization of the life cycle of innovations. Interest in understanding the factors and the environment conducive to the adoption of new innovations spans across different disciplines, most notably marketing, economics, and social science. One line of research involves empirical studies using cross-sectional data with a focus on the relationship between the adoption decision, the innovation, and the organizational characteristics. The majority of IS innovation studies fall into this category [2], [6], [17], [23], [35], [55], [56]. Another line of research, popularized in the marketing literature, focuses on the diffusion pattern of innovations over time. Aggregate diffusion models have been proposed to study the rate and pattern of the diffusion process. While originally developed to capture the essential features of

However, unlike other research that attempt to predict the adoption or success of technologies based on predefined constructs (antecedents), we argue that the most useful studies on USHI will be those that attempt to “reverse-engineer” its success, going even beyond standard antecedents with a view to identifying key components that inform those antecedents which in turn result in the success of the technology. This approach as proposed by Benbasat and Barki [26] for the technology acceptance model is believed to be able to help generate actionable information on how to “create” the antecedents to the desired success of information technology artifacts. Some applicable theories that can be reverse-engineered

However, unlike other research that attempt to predict the adoption or success of technologies based on predefined constructs (antecedents), we argue that the most useful studies on USHI will be those that attempt to “reverse-engineer” its success, going even beyond standard antecedents with a view to identifying key components that inform those antecedents which in turn result in the success of the technology. This approach as proposed by Benbasat and Barki [26] for the technology acceptance model is believed to be able to help generate actionable information on how to “create” the antecedents to the desired success of information technology artifacts. Some applicable theories that can be reverse-engineered

Qualitative researchers can address important gaps in the literature by examining these strategies, structures, and the kinds of behavioral and social deterministic reasons for e-commerce management decisions that are not easily measured by quantitative research instruments. By means of qualitative research, both economic rationality and irrationality can be explored as precursors of e-commerce management behavior. In contrast, much of the existing literature is designed for quantitative measurement of the rational dimensions of e-commerce adoption such as cost-benefit based dimensions (Park, Mishra, & Wozniak, 2014). These studies are important in their own right but do not contribute to the phenomenological approach to technology adoption, nor the understanding of strategic management practices (Cilesiz, 2011). In particular, by showing sensitivity to other mechanisms for the diffusion of e-commerce innovation, the study will add to the existing findings (Bojnec & Latruffe, 2013; Park et al., 2014), that most e-commerce adoption on farms is driven by perceived economic self-interest. In general, quantitative studies cannot provide the depth of exploration possible in a qualitative

According to Ajzen (1985, 1991), behavioural intention is the cognitive representation of a person’s readiness to perform a given behaviour, and it is considered to be an immediate antecedent of actual behaviour. In the current context, intention is broadly described as the consumers’ propensity to adopt Internet technology in relation to online travel transactions within a B2C e-commerce consumer oriented market. It is focusing on one dimensional behavioural intention, that is, propensity towards online purchase transactions of travel services

There have been several theoretical models employed to study user acceptance and usage behavior of new information technologies. The Technology Acceptance Model (TAM) (Davis, Bagozzi, & Warshaw, 1989; Davis, 1989) is the most widely applied model, which is adapted from the Theory of Reasoned Action (TRA) (Ajzen & Fishbein, 1980). TRA is one of the most influential models in social psychology (Venkatesh, Morris, Davis, & Davis, 2003), and describes that behavior is determined by the behavioral intention to perform it, which is determined by the attitude of the person and the subjective norm (Straub, 2009). TAM (figure 1) worked further on this concept and suggests two specific beliefs (perceived ease of use and perceived usefulness) that determine one’s behavioral intention to use technology (Davis, 1989). TAM further posits that perceived usefulness will be influenced by perceived ease of use, since the easier a technology is to use, the more useful it can be (Venkatesh, 2000). TAM has received extensive empirical support through validation, applications, and replications over the years which proved TAM to be robust across time, settings, populations, and technologies (Venkatesh, 2000). In this research we will limit ourselves to one of the aspects proposed by the TAM: perceived ease of use.

The evolution of the make-to-order business model for tablet PCs based on the Google Android operating system is ready to enter the next phase of its website development, which is metaphor definition, site structure listing and the creation fo a design document. Implicit in the site structure definition is the flexibility of allowing prospective and existing customers to personalize the site for their unique needs, preferences and wants. The ability to create a highly personalized user experience online is critical to the success of any e-commerce or online initiative (Perugini, 2010). Throughout this chapter the key attributes that increase consumer purchase intention are defined in the context of the build-to-order process online through a tablet configurator and workflow design (Chen, Hsu, Lin, 2010).

This dissertation aims to elucidate the critical factors that pertain to widespread technology adoption in organisations, with regards to radical IT innovations, whilst also highlighting the issues that stymie technology adoption.

With businesses seeking to seize the momentum of social media and social networking, technology-enabled social commerce has emerged to combine the power of online social networking with shopping. This study examines an emerging area in E-commerce, i.e., social commerce. Extending the online consumer behavior typology, this study categorizes online consumer behaviors into three types: transactional, informational, and social. While traditional E-commerce supports the transactional and informational aspects of online shopping, social commerce fulfils the social aspects of shopping, and potentially enhances the informational aspect as well. This research examines the online shopper as a prospective user of an emerging social commerce platform, the social shopping website, which are sites designed specifically to support social interactions while online consumers shop. The study augments the Technology Acceptance Model with constructs that enhance the specificity of the model to the social shopping application of social commerce. The model was empirically tested and supported. The results provide empirical evidence to support the importance of distinguishing the social aspect of shopping from the information and transactional aspects, as well as the potential advantage to using technology to promote social interactions on E-commerce sites. Implications and future research are discussed. Keywords: E-commerce, internet, shopping, social networking

In the Information Systems field, researchers have widely used the Technology Acceptance Model to study the adoption of various technologies and TAM has arguably become the most influential theory in the IS field. For instance, some researchers introduce many other factors to the model, such as subjective norm, perceived behavioral control, and self-efficacy (Hartwick and Barki, 1994; Mathieson et al., 2001; Taylor and Todd, 1995). Other researchers introduce additional belief factors from the diffusion of innovation literature, such as trial ability, visibility, or result demonstrability (Agarwal and Prasad, 1997; Karahanna et al., 1999; Plouffe et al., 2001). Some researchers introduce external variables or moderating factors to the two major belief constructs (perceived usefulness and perceived ease of use), such as