Adoption of e-government services in Turkey Kurfalı, Murathan; Arifoğlu, Ali; Tokdemir, Gül ...
Computers in human behavior,
January 2017, 2017-01-00, 20170101, Volume:
66
Journal Article
Peer reviewed
This research aims to investigate underlying factors that play role in citizens' decision to use e-government services in Turkey. UTAUT model which was enriched by introducing Trust of internet and ...Trust of government factors is used in the study. The model is evaluated through a survey conducted with Turkish citizens who are from different regions of the country. A total of 529 answers collected through purposive sampling and the responses were evaluated with the SEM (Structural Equation Modeling) technique. According to the results, Performance expectancy, Social influence, Facilitating conditions and Trust of Internet were found to have a positive effect on behavioral intention to use e-government services. Additionally, both Trust factors were found to have a positive influence on Performance expectancy of e-government services, a relation which, to our best knowledge, hasn't been tested before in e-government context. Effect of Effort expectancy and Trust of government were found insignificant on behavioral intention. We believe that the findings of this study will guide professionals and policy makers in improving and popularizing e-government services by revealing the citizen's priorities regarding e-government services in Turkey.
•First research on e-government adoption process in Turkey.•The relation between Trusting feelings and Performance expectancy is tested.•The significant and insignificant factors in e-government adoption are revealed.•The research may guide government to increase e-government usage in Turkey.•Contributes the literature of e-government adoption in developing countries.
The use of information and communication technologies has changed how teachers and students receive and process information. There are numerous ways that these technologies have been used to support ...learning. Electronic learning, or e-learning, is the process of teaching and learning remotely using electronic media. University students are avid information seekers who are eager to acquire new concepts, ideas, technologies, and methods of gathering knowledge. Therefore, this study aimed to assess the behavioral intention of students to use an e-learning system and its associated factors at Mettu University, southwest Ethiopia.
An institutional-based cross-sectional study was conducted from October to November 2022 at Mettu University, southwest Ethiopia. A total of 637 health science students participated in the study. The study participants were selected using a stratified sampling technique. The data were gathered using a self-administered questionnaire. Using the AMOS version 26 software, measurement and structural equation modeling analyses were used to evaluate reliability, the validity of model fit, and test the hypothesis, respectively.
The behavioral intention of students to use e-learning was significantly influenced by effort expectancy (β = 0.420; P 0.05). The facilitating condition had a direct significant effect on health science students' use of e-learning (β = 0.634; P < 0.01), and perceived enjoyment of the e-learning system had a direct significant effect on students' behavioral intention (β = 0.564; P < 0.01). Whereas, the relationship between performance expectancy (β = −0.034; P = 0.418), and social influence (β = −0.005; P = 0.879) had no significant effect on students’ intentions to use e-learning.
Effort expectancy, perceived enjoyment, and facilitating conditions were significant factors that determined students’ behavioral intention to use e-learning. As a result, it is important to promote the use of information and communication technology in the teaching and learning process by providing materials and implementing easy-to-use and interactive systems.
The purpose of this research is to find out about how the acceptance of audit software by auditor. This research used Public Accountant Firm in Bali as the location there are 17 Firm. The sample in ...this study was 95 respondents based on purposive sampling technique with the calculation of the Lemeshow formula. The type of data in this study is quantitative data uses primary data sources that collected using a questionnaire. The analytical technique used is Structural Equation Modeling using Partial Least Square (SEM PLS). The results show that the auditors at the Public Accountant Firm in Bali can accept the use of audit software well which is based on the UTAUT model. UTAUT, namely performance expectancy, expectation of a more optimal performance by utilizing technology. Although aspects of social influence and voluntariness of use are not able to influence the acceptance of audit software for auditors at the Public Accountant Firm in Bali.
Purpose/significance Taking English paid APP Fluent Reading as an example, this study aims to explore the related factors affecting users' behavior of paying APP for knowledge and its mechanism, and ...provide suggestions for the sustainable development of knowledge payment platform. Method/process Based on UTAUT model and related literature, the hypothesis is put forward; using the interview method and questionnaire survey method ;using SPSS22.0 to analyze quantitatively the collected data and modificate the model. Results/conclusion The study found that the degree of recognition of expectation and social impact had the most significant effect on the user's willingness to use payment APP. Therefore, it is suggested that the knowledge payment platform should create a good media image outside, and improve the information quality, so as to improve the user's expected confirmation value; at the same time, explore the social resources of the user network and use the social impact to stimulate the user's willin
•Investigating factors affecting users’ continuance intention of using food delivery apps during COVID-19 pandemic period.•Proposing a comprehensive model integrating UTAUT, ECM and Task-technology ...fit model.•Explaining users’ continuance usage intention is determined by their technological and mental perceptions.•Perceived task-technology fit formulates users’ perceptions when the technology’s functions meeting their requirements.
Food delivery apps (FDAs) as an emerging online-to-offline mobile technology, have been widely adopted by catering businesses and customers. Especially, as they have provided two-way beneficial catering delivery services in rescuing catering enterprises and satisfying customers’ technological and mental exceptions under the COVID-19 global pandemic condition. This study proposes a comprehensive model integrating UTAUT, ECM and TTF with the trust factor and examines 532 valid FDA users’ continuance intention of using FDAs during the COVID-19 pandemic period in China. The statistical results and discussions show that satisfaction is the most significant factor, and perceived task-technology fit, trust, performance expectancy, social influence and confirmation have direct or indirect positive impacts on users’ continuance usage intention of FDAs during the COVID-19 pandemic period. In addition, relevant researches and stakeholders should consider the specific characteristic of technology being associated with users’ technological and mental perceptions for better understanding and explaining users’ continuance intention.
With the spread of new educational technology such as the interactive whiteboard (IWB) teachers, as potential users, need to adapt their teaching in order to successfully utilize it. Despite ...considerable efforts in motivating teachers to use new educational technology, there are mixed feelings about whether to accept and use this technology in the classroom or not. In this study we propose to extend the Unified Theory of Acceptance and Use of Technology (UTAUT) with a new moderator variable user type in order to investigate differences in the UTAUT determinants between pre- and post-adopters of IWBs. The results of the study showed significant differences in causal effect sizes between pre- and post-adopters for several paths of the proposed research model. When compared to post-adopters, we can see that for pre-adopters: 1) social influence has a bigger impact on behavioral intentions, 2) performance expectancy more strongly affects attitudes toward using IWBs, and 3) there is a difference in attitudes towards using IWB on users' potential use of IWBs. For post-adopters: 4) the facilitating conditions have a bigger impact on the actual use of IWBs, and 5) behavioral intention is a stronger predictor of the actual use of IWBs when compared with pre-adopters.
•The Unified Theory of Acceptance and Use of Technology (UTAUT) model was extended.•New moderator variables user types and teaching experiences were proposed.•The extended UTAUT model was validated in the case of interactive whiteboards.•Significant differences in determinants between pre- and post-adopters were shown.•The biggest difference was in the path between behavioral intentions and use.
With advances in internet technologies, innovative industrialization applying big data-based artificial intelligence is leading Industry 4.0. However, opportunities for the public to learn about ...virtual cryptocurrency or utilities based on blockchain technology are limited, except for Bitcoin. This lack of opportunities generates misunderstandings. This study ascertained and examined the determinants affecting the acceptance of new technologies on Jeju Island, Korea, where tourism is the dominant business. A total of 537 Jeju-do residents and potential visitors from the mainland were analyzed by conducting a partial least squares (PLS)- structural equation modeling (SEM) and one-group pretest–posttest design through a survey after observing a video clip on blockchain implementation on YouTube. The empirical analysis results showed the effect of blockchain trust transparency on the performance and effort expectancy. Facilitating conditions were found to be the most influential in blockchain technology acceptance. Following a video experiment introducing blockchain implementation as a currency for Jeju tourism, a significant positive change towards the implementation of blockchain was observed. This paper presents a concrete application of blockchain technology and shows the possibility of using social media (YouTube) to elicit user awareness and potential interest in the domestic tourism market.
•Identify the potential of blockchain to be used in the tourism industry.•Determinants affecting adoption of unexperienced Blockchain technology.•Changes in blockchain perception by the effect of online learning through YouTube.•Testing before and after experiments on perceptions in the social sciences.
The behavioural intention to adopt Blockchain for supply chain management (BCSCM) is studied in this paper. The research framework adopted considers how Performance Expectancy (PE), Effort Expectancy ...(EE), Facilitating Condition (FC), Technology Readiness (TR), Technology Affinity (TA) and Trust (TT) can lead to the adoption of the technology. Data gathered from 157 firms is analysed using SPSS version 2 while the quality of the measurement is tested using WarpPLS. Findings revealed that FC, TR and TA have a positive influence on intention to use BCSCM and regulatory support moderates the effect of FC. This study offers valuable insights into the applicability of Blockchain technology for supply chain management.
•We surveyed a large crosssectional sample diverse in age and technology experience.•Generational differences exist across UTAUT determinants.•The most salient gaps are between the oldest and ...youngest generations.•We predicted intention with age and two user experience variables as moderators.•Only effort expectancy and facilitating conditions predict tablet use intention.
This study examined the “Unified Theory of Acceptance and Use of Technology” (UTAUT) in the context of tablet devices across multiple generations. We tested the four UTAUT determinants, performance expectancy, effort expectancy, social influence, and facilitating conditions, to determine their contributions for predicting behavioral intention to use tablets with age, gender, and user experience as moderators. 899 respondents aged 19–99 completed the survey. We found consistent generational differences in UTAUT determinants, most frequently between the oldest and youngest generations. Effort expectancy and facilitating conditions were the only determinants that positively predicted tablet use intentions after controlling for age, gender, and tablet use. We also discuss the implications of ageism and gender discrimination of technology adoption. Finally, we argue that our findings can be extended to create effective training programs for the teaching, learning, and adoption of new technologies in a variety of organizational settings.
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