جستجوی مقالات مرتبط با کلیدواژه « task technology fit » در نشریات گروه « مدیریت »

Providing financial services on blockchain-based platforms as a new approach to financial markets has a lot of room for growth. This demonstrates the need to study and identify the drivers of users' attitudes towards using blockchain-based financial services. For this purpose, technology adoption models have been used. Using a combination of several technology adoption models, this research aims to study the factors affecting customers' intention to use financial services in blockchain-based platforms to determine what factors drive users to use them. For this purpose, first, by studying the literature, we have extracted the factors affecting customer behavioral intention to use financial services in blockchain-based platforms and on their basis, structural equations model has been developed. The results of the data analysis show that individual tendency to trust and structural guarantees directly affect initial trust and users’ initial trust also influences users' behavioral intention. On the other hand, technological features and task characteristics directly influence technology-task fit, and technology-task fit affects users' behavioral intention. Expecting performance also directly affects the behavioral intention of users. The results of this study show that the propensity to use financial services in blockchain-based platforms is due to a social need and even with some blockchain constraints users are eager to use financial services which are based on this technology.

The purpose of this study was to present a causal model of acceptance and utilization in the usage of virtual learning among oil industrial staffs. It has been tried to investigate the factors such as subjective norm, computer self- efficacy, tasktechnology fit and their relations to variables associated with the technology acceptance model, perceived usefulness, perceived ease of use and intention to use of virtual learning among staffs. In terms of objectives, this study was an applied research and in terms of the method of collecting and analyzing data, it was a descriptive and correlational research. The populations of this study were Oil Company employees who are familiar with virtual learning (330) included. The sample were 172(based on Morgan table), who, were selected through the simplerandom sampling methods and Several questionnaires were completed by the participants, such as subjective norm Ajjan & Hartshorn (2008), task-technology fit Vatanasakdakul & et al (2010), perceived ease of use Moon & kim (2001), perceived usefulness Kim & et al (2007), and intention to use Samiento (2009) and computer self-efficacy Wolters & Daugherty (2007.To examine the research hypotheses, the path analysis was used. Findings indicated that computer self- efficacy, tasktechnology fit and Subjective norm have a significant effect on intention to use of virtual learning directly or indirectly, through the intermediate role of the variables perceived ease of use and perceived usefulness. The greatest total effect on intention to use of virtual learning were related to the Task-technology fit and perceived ease of use and the least total effect was related to the subjective norm.

Recent advances in wireless technologies and devices, has created new opportunities to provide innovative banking services named Mobile banking. With mobile banking, customers are able to conduct banking services at anyplace and anytime and to connect banking service easily and quickly with mobile devices. Since the penetration rate of mobile devices is more than other technologies, if mobile banking accepted by the customers can decreases costs of banks and customers effectively.Worldwide researches has shown that despite there are numerous benefits that mobile banking provides for customers and banks, it is not accepted by the customers. Research on factors affecting the adoption of mobile banking by customers can be helpful in resolving this issue. Therefore, in this study a new model for the adoption of mobile banking taking into account the role of advertisement is presented. The proposed model combines the Unified Theory of Acceptance and Usage of Technology (UTAUT) with Task Technology Fit (TTF), and adds other influencing factors. Also, the proposed model is compared with the world known models in this research.