Technology Acceptance Model Google Scholar – Improvement of fuel consumption and battery life in fuel elements/renewable hybrid power systems using energy control of fuel controllers
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Technology Acceptance Model Google Scholar
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Pdf) Implementation Of E-government Through Implementation Of Technology Acceptance Model
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Author Eun Soo Parkeun Soo Park Scilit Preprints.org Google Scholar 1, * and Min Seo Parkmin Seo Park Scilit Preprints.org Google Scholar 2
Assessment Of The Social Influence And Facilitating Conditions That Support Nurses’ Adoption Of Hospital Electronic Information Management Systems (heims) In Ghana Using The Unified Theory Of Acceptance And Use Of Technology (utaut)
Submission: October 15, 2020 / Review: November 18, 2020 / Accepted: November 19, 2020 / Issue: November 23, 2020
The use of information technologies is distributed in the construction industry. However, the use of information technologies in the field of construction does not meet the requirements and characteristics of users using information technologies. This fact is blinded by the needs of the government and clients, which impedes the spread of information technologies in the construction industry. To improve the use of information technologies in the field of construction, this research analyzes the facts of information technology based on the properties of users that use information technologies in the field of construction based on the Davis technological acceptance model. As a result of the analysis, we found that if users are easy to use in the construction industry, spontaneous attitude and behavioral intention are expected. In addition, the type of acceptance, pleasure from education, pleasure and use are factors that affect the usefulness of perceived, as well as satisfaction with education and satisfaction. The purpose of this study is to create factors that maximize the availability and usefulness of users, using the technological acceptance model before using new information technology in the field of construction.
Recently, when industrial society is being developed and business strategies and systems work regularly, productivity in various fields. At the same time, the level of information technologies (IT) increases daily, and its use increases rapidly.
Thus, the construction industry becomes information about knowledge, information transmitted inside and between business, and governments create information that needs information.
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Building companies also use information systems such as corporate resources planning (ERP), knowledge management systems (KMS) and project management information systems (PMI) to meet their different needs [1]. Information methods that have started using computer design (CAD), modeling of construction information (BIM) and structure analysis programs developed in the latest methods of information commemoration for the identification of radio frequencies (RFID) and everywhere that are common. Field.
While in other industries, end users were presented, developed and distributed in the construction industry, the government and company owners have done so.
Therefore, users of the construction industry do not understand this, as well as users of other industries and get used to it slower. According to the JBKNowledge poll (2690 respondents) [2], 42.5% used less than three software in construction projects. Most of them showed excel. In addition, 48.7% of data exchange was found by old methods because there is no integrated platform.
Obviously, the use of construction in the construction industry is spreading with the paradigm change, and the number of IT use is increasing rapidly. Therefore, a study that shows the degree of adoption of users in the context of the construction industry should be performed.
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Based on this observation, we have conducted actual research on the adoption of persons used in the construction industry according to the model of technological acceptance of Davis (TAM). In this study, we strive to understand how users influence the use of construction in the construction industry, and let us determine that the latter input should be introduced by analyzing what users can accept.
This study is classified as four steps. In the first stage, external variables were obtained from the view of cognitive engineering literature and the study of TAM in other fields and study it there (and adaptive). These external variables were organized for six areas on the basis of expert brain assault: type of acceptance, frequency of use, satisfaction of education, use of knowledge, use of experience and use. In the second stage, these variables were used as a basis for hypotheses to determine the effects of internal and external variables for each factors. In the third step based on hypotheses, we conducted a survey to calculate TAM for consumers in the building area. The survey participants included people who work in basic rights or a general construction industry, such as entrepreneurial, construction workers, managers and engineers of construction companies. Finally, based on the results of the survey, we checked the suitability of TAM and a hypothesis.
The construction content of the study is based on the software most commonly used in the construction industry; Using consultations with experts, we were classified into the next five groups:
The most important aspect of the study and implementation of information systems is the adoption and actual use. Although companies have made significant investments in a gradual increase in hardware, software and IT, productivity paradox is due to a limited understanding of IT, which requires urgent improvement [3]. The study of its adoption has gradually improved in the last 20 years.
Extending The Technology Acceptance Model To Explore Students’ Intention To Use An Online Education Platform At A University In China
Some researchers have studied the relationship between utility and easy use [4, 5, 6]. In particular, Davis proposed TAM a significant contribution to the theory and the study of the use and acceptance of it [5]. Davis studied and analyzed why people accept or do not accept information systems.
The actual behavior of the individual is determined by behavioral intention, determined by the attitude and subjective norms, which are determined by beliefs or other factors.
The theory of justified actions (TRA) and the theory of planned behavior (TPB) were predecessors there. Eizen suggested that TPB extend to situations where behavior is not under human control [7]. Eizen said that behavior is defined by three religions: behavioral faith, subjective faith and control faith [8].
In this model, behavior is influenced by some factors from human control. Therefore, we need to consider how much a person controls his behavior [9]. Thus, the value of behavior is an additional factor under human control – the so -called perceived behavioral control – which affects Ajzen TPB behavior.
Smart City Technologies From The Perspective Of Technology Acceptance
Davis has developed there to explain the behavior of users and predict them on the basis of TRA, which was published in the field of social psychology [5]. Detected utility and simple use are defined as the main factor affecting the attitude of TAM, which uses only relationships between faith, attitude, intention and behavior. All other external factors should indirectly influence the intentions and attitudes with the help of perceived usefulness and simple use. Thus, variables, called perceived utility and light perception, is the key to TAM, as shown in Figure 1.
The detected utility indicates how much users believe that the use of the system improves the ability to achieve the task, and the easy use of the detected identified indicates how much they believe that the system is easy to use.
For managers and researchers, this was an important question of determining what factors the individuals are. The answer is that no matter how large businesses invest in new and more efficient IT systems, the system efficiency can only be achieved if users are clearly understanding and using it. Personality characteristics are related to its culture and society [10]; Therefore, if the developers cannot understand the change of the user process in terms of technology, they will not develop the appropriate system. In fact if they cannot understand the measure
