Abstract
<span>Effective evaluation is necessary in order to ensure systems adequately meet the requirements and information processing needs of the users and scope of the system. Technology acceptance model is one of the most popular and effective models for evaluation. A number of studies have proposed evaluation frameworks to aid in evaluation work. The end users for evaluation the acceptance of new technology or system have a lack of knowledge to examine and evaluate some features in the new technology/system. This will give a fake evaluation results of the new technology acceptance. This paper proposes a novel evaluation model to evaluate user acceptance of software and system technology by modifying the dimensions of the Technology Acceptance Model (TAM) and added additional success dimensions for expert users. The proposed model has been validated by an empirical study based on a questionnaire. The results indicated that the expert users have a strong significant influence to help in evaluation and pay attention to some features that end users have lack of knowledge to evaluate it.</span>
Highlights
The expert user evaluation is usually a list of perceived problems or reservation regarding the usability of a technology, software, system and a list of recommendations for improvement
Involving a number of experts can assist in identifying whether potential problems are likely to exist, as individual expert opinion is not infallible. (Davis, 1986; Davis 1989; Davis 1993; Davis, Bagozzi & Warshaw, 1989) introduced Technology Acceptance Model (TAM), which is presented in Figure 1, for modeling user acceptance of information systems in 1986
This paper proposed a new model for evaluating new technology and system acceptance by involving expert user in evaluating process by applying the concepts of Technology Acceptance Model for end users to expert users in order to get actual evaluation
Summary
The expert user evaluation is usually a list of perceived problems or reservation regarding the usability of a technology, software, system and a list of recommendations for improvement. TAM starts by proposing external variables as the basis for tracing the impact of external factors on two main internal beliefs, which are perceived usefulness and perceived ease of use, while perceived ease of use affects perceived usefulness over and above external variables (Taylor & Todd, 1995) These two beliefs both influence users attitude toward using IS. The end users in many industries such as business, education, banking and health care face problems and difficulties to determine the strength and weaknesses of the new technology. This will affect to plan for improvement and modification that new technology have been introduced effectively and efficiency
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