The Technology Acceptance Model

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:

When a school has a low AYP (Adequate Yearly Progress) there has to be new programs implemented to help the school’s achievement. If the policies are being implemented by a new administrative figure the faculty is unsure of their intents and purpose. The faculty members will either embrace the new policies implemented by the administrator or completely go against them. Kurt Lewin wrote that "An issue is held in balance by the interaction of two opposing sets of forces - those seeking to promote change (driving forces) and those attempting to maintain the status quo (restraining forces)" (Connelly, 2016). For change to happen the status quo must be disrupted and the resisting forces must be reduced.

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

This easy access to information has led to the almost total societal immersion in technology. A seat at any restaurant comes with a view of diners engrossed in their phones,

Today, health services management is a growing field that adopt technology. Also, a good administrator management, represents the high quality of healthcare professionalism to not only to his or her staff, but to the entire healthcare community. The health care administrator needs to have strong and creative problem solving skills and business skills. Also, the healthcare administrator needs a strong management, leadership, good communicator and even knows technological skills to oversee public or non-profit sector. to keep upon new laws and policies and how to effectively adapt health facilities purposefully.

Students are not harmed by their dependence on personal digital technology as it is found that their personal technology is very useful in class as computers are a necessity to complete most homework assignments, has videos and Google to help with homework or learning something, and they help track a child of a parent. In most classes, students are required to complete and turn in homework assignments online. Some students are also required to research and a topic and sometimes the most accurate as well as current data is found online. Microsoft Word and PowerPoint also helps students type up reports plus students can easily graduate from college online if they don't have the time to attend college. With videos on YouTube or the search engine

Among them, behavioral theories are primary theories which have been used in the field of e-government to address the issues related to user adoption decisions. Behavioral theories are used by scholars to identify the behavior of people for a new innovation through general accepted principles. Extant literature reveals that different scholars have come across with behavioral theories and have labeled differently. Among them, Theory of Psychological Field (Kurt Lewin), Theory of Behavior Modification (Albrecht et al., 1987), Hohenheim Diffusion Theory (Hoffmann, 2006), Diffusion of Innovation Theory (Rogers, 2003) and the Theory of Planned Behavior (Ajzen, 1991) have used in the scientific investigations related to new innovations. However, it could be found only Diffusion of Innovation Theory and Theory of Planned Behavior have considered on the e-government adoption research field and behavioral adoption theories which are more important for the ongoing investigation are discussed lengthily in the next

adoption rate of new services as well as the continuing usage of the Internet of the

As organizations reliance on technology continues to grow so has the amount of cyber attacks which occur compromising organizations information systems and networks. These cyber attacks can have drastic effect on organization financially including downtime or even regulatory fines. Due to this the need to be able to properly identify assets, their vulnerabilities and threats, and the risk they pose to the organization has become a must for ensuring the protection of organizations information systems and networks. This have gave way to the creation of threat modeling process to aid organizations beater identify and mitigate the risk to their organizations security.

In analyzing this perpetuation brought on by familiar software in new contexts, we will narrow our focus by broadening it; it is important to delineate the difference between the iPhone and other smartphones, in order to show that the smartphone’s ability to allow users to use familiar software in new contexts is not exclusive to the iPhone. The only barrier to owning a smartphone in a place like the Bay Area is money. In other areas where cell phone reception is less avaliable, there might be a barrier of initial access to the services of internet and cell phone reception to consider, but in the Bay Area, money is sufficient (although perhaps all it would take to bypass the additional barriers of other locations is more money). Therefore, with the understanding that the iPhone is more expensive than most other smartphones, we can separate the

Almost daily a new information technology is introduced into our personal, professional, or educational lives. Studying acceptance of new technologies has become a focus of industry as well as academia. Application developers realize that lack of user acceptance of their technology can lead to loss of money, resources, and the failure of their product. In studying this key factor of user acceptance and use of technology, the Technology Acceptance Model (TAM) is one of the most cited models.TAM was developed by Fred Davis and Richard Bogazzi to explain computer technology user decisions. The theoretical basis of the TAM model was from Fishbein and Ajzen’s Theory of Reasoned Action (TRA).

The adoption of information technology in healthcare has dramatically improved patient care and the practice of medicine in its entirety. Health information technology (HIT or Health IT) has created, among other things, free flow, and improved communication amongst all healthcare workers and providers, patients and the community as a whole. HIT has also availed the healthcare sector better and easier access to information. So many people have placed their hopes on health information technology. The hospitals have high hopes for HIT in helping them to reduce human errors on their medical reports. Health care providers need improved care, so they place their hopes on HIT to help in having access and sharing patient information without the stress. The government and those in healthcare for business purposes also have high hopes for HIT; to help improve efficiency and at the same time save money and make more profits.

A range of studies has been conducted on instructional technology. Many findings show that technology has a significant contribution to the improvement in teachers’ competency and instruction effectiveness. However, not all applications of technology in the classroom lead to the desired goals. There are numerous constrains that may contribute to this. The level of technology acceptance is one of these factors. However, what influences technology acceptance among teachers? The article discusses a study conducted to determine the influence of gender on technology acceptance. This article is important to my research topic. Many research studies conducted in the past have focused on the impact of technology on the effectiveness of teaching or student learning. Few articles have focused on factors affecting technological adoption in learning facilities. These studies have found an improvement in learners scores on tests associated with content covered in technology-assisted instructional packages. While the selection of suitable technology is the initial step, employment of the technology by teachers determines its effectiveness. The effectiveness factor of instructional technologies is often ignored. The reasoning is that teachers may be willing to utilize technology but may be influenced by other factors besides availability of necessary technology. The problem calls for research as educators need to proactively take such factors into consideration when