جستجوی مقالات مرتبط با کلیدواژه « Technology acceptance model (TAM) » در نشریات گروه « مدیریت »

 The Internet of Things (IoT) is a new revolution that emerged in the late 21st century, whereby everyday objects such as household items, cars, and wearable's, which are equipped with sensors and RFID chips, can communicate with each other via the internet and interact to their physical surroundings. The IoT has emerged into the daily operation of many industries. Modern Technology applications such as smart grids, smart cities, smart homes, physical security, e-health, asset management, and logistics are related to the insurance business. Therefore, advances in the IoT field have attracted considerable attention from both the insurance industry and academics. Many insurance providers have attempted to present solutions based on the IoT in their main business including automobile insurance and smart sensors with a discount feature. Therefore, this study examines the influential factors in the acceptance of the IoT in the insurance industry according to the Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT2). Given the importance of the innovation acceptance process in recent decades, many theories and models have been proposed regarding the acceptance process. Including models for decision-making and acceptance of innovation is the integrated TAM and UTAUT2. In terms of technology acceptance, this model demonstrates the intertwining of the main structures of several well-known models of variance with the intention of user behavior. Variables such as perceived usefulness, perceived ease, social influence, performance expectancy, effort expectancy, facilitating conditions, trust, Security, and perceived risk were selected to examine the factors affecting IoT acceptance intention. The role of age moderators on the relationship of each hypothesis was also investigated.   

 This study, in terms of its purpose, is categorized as applied research and based on methods and data collection is descriptive survey research. Required data collected for the study consists of 100 managers, employees, and agencies of insurance companies in Tehran city, the questionnaire was distributed among them through a simple random sampling method. In order to measure the validity of the tool, face and convergent validity were used through the mean of variance (AVE), which was more than 0.5. Calculating Cronbach's Alpha showed the reliability of the tool was 0.777, also calculating composite reliability indicated the result above 0.7. Also, the direction analyzes the data, descriptive and inferential statistics and the structural equation modeling were employed with SPSS 23 and Smart PLS 3.0 software programs.

 The results of the study indicate that the perceived usefulness (b = 0.313, t-value = 3.112) and perceived ease (b = 0.178, t-value = 2.611) have a significant positive effect on the IoT acceptance intention. In addition, social influence (b = 0.179, t-value = 1.894), performance expectancy (b = 0.211, t-value = 2.288), effort expectancy (b = 0.209, t-value = 2.061), facilitating conditions (b = 0.219, t-value = 2.253), trust (b = 0.205, t-value = 2.262) have a significant positive effect on the IoT acceptance intention. At the same time, Security (b = -0.182, t-value = 1.760) and perceived risk (b = -0.171, t-value = 2.030) influence and lastly have a significant negative effect on the IoT acceptance intention. The role of age adjustment was also examined based on the two age groups of 30 to 40 years and 41 to 51 years. The results of the study of the role of age moderators showed that only the relationship between facilitating conditions and behavioral intention in the age group of 30 to 40 years and 41 to 51 years are different. In other hypotheses, age had no effect as a moderating role.

 The proposed model and the results of this study can help the managers in the insurance industry in making better decisions regarding the use of the IoT so that more financial resources can be dedicated to the advancement of this new technology. Given that the insurance risk is one of the more crucial elements for the insurance undertaking, IoT solutions are evolving into a useful tool towards the more accurate calculation of risk and compliance with their regulatory quantitative requirements. Therefore, it is necessary for insurance industry managers to plan purposefully to implement this strategy, which is to acceptance of the IoT taken, in order to be able to develop the IoT in the country in insurance issues. Accordingly, the IoT is not only a great way to improve the customer experience but can also help insurers by reducing costs.JEL-Classification: G22, O14, L86.

Although in recent years, Building Information Modeling as an emerging technology in the Iranian construction industry, has attracted the attention of many people, but the low productivity of this industry, the conditions for the realization of many benefits from the implementation of this technology has faced many obstacles. The implementation of such technologies on national, organizational and individual scales depends on their adoption. According to previous research in this field, unfortunately the adoption of BIM in Iran, is very slow and undesirable.

In the present study, by distributing a questionnaire among the first ranked construction companies in Tehran province, the BIM adoption status was obtained using the Technology Acceptance Model (TAM).

The data analysis, which was performed using Structural Equation Modeling, showed BIM adoption was below average in all 87 valid samples. The research findings showed that if people to imagine using BIM in their minds and beliefs easier, the more they think that using BIM is usefulness, and both of these variables lead to a greater intention to adopt BIM technology.

As a result, it may be possible to improve the BIM adoption status in the Iranian construction industry by focusing on strengthening individual and behavioral dimensions in order to further BIM adopting.

Rapid development of new technologies has transformed many aspects of our lives, including shopping. Today, physical stores are no longer the only means of shopping goods thanks to the advent of online stores on the Internet. Intentions to shop from these stores are influenced by a wide variety of internal and external factors. In this paper, the impact of personality on these intentions is explored. In doing so, a total of 130 graduate and postgraduate students at the University of Isfahan were surveyed about their intentions of buying cellphone and computer accessories over the Internet. Structural equations modeling was used to analyze the data. Upon return, one hundred responses were acceptable and thus formed the basis for analysis. According to the results, the Judging dimension, with a coefficient of 70 percent, has the highest impact on online shopping intentions followed by Introversion and Thinking whose coefficients are 54 and 37 percent, respectively. Finally, the Sensing dimension has a coefficient of 27 percent, indicating a negligible impact on online shopping intentions.

The purpose of this research is studying influence of 12 factors on Customer’s attitude and Tendency to acceptance Internetshopping. We considered 29 hypothesize. The statistical population is actual and potential customers of online shops in Iran.We selected a random sample of size 500 from population. Our data were collected by questionnaire and library method.Using measurement tools, content validity and reliability were checked. Our results show 19 hypothesizes from 29 ones areaccepted and 10 hypothesizes are rejected. Except Income factor, other factors influence on acceptance internet shopping.The greatest effect is related to Customer intention for Internet shopping. Risk-taking has a minimal impact on the Attitudeinternet shopping experience, and Satisfaction has a significant impact on intention to buy.