Key Factors Affecting User Adoption of Open-Access Data Repositories in Intelligence and Security Informatics: An Affordance Perspective

2022 ◽  
Vol 13 (1) ◽  
pp. 1-24
Author(s):  
Bo Wen ◽  
Paul Jen-Hwa Hu ◽  
Mohammadreza Ebrahimi ◽  
Hsinchun Chen
Keyword(s):  
Open Access ◽  
Factor Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Survey Study ◽  
Data Repositories ◽  
Factors Affecting ◽  
Open Access Data ◽  
Security Informatics ◽  
Access Data

Rich, diverse cybersecurity data are critical for efforts by the intelligence and security informatics (ISI) community. Although open-access data repositories (OADRs) provide tremendous benefits for ISI researchers and practitioners, determinants of their adoption remain understudied. Drawing on affordance theory and extant ISI literature, this study proposes a factor model to explain how the essential and unique affordances of an OADR (i.e., relevance, accessibility, and integration) affect individual professionals' intentions to use and collaborate with AZSecure, a major OADR. A survey study designed to test the model and hypotheses reveals that the effects of affordances on ISI professionals' intentions to use and collaborate are mediated by perceived usefulness and ease of use, which then jointly determine their perceived value. This study advances ISI research by specifying three important affordances of OADRs; it also contributes to extant technology adoption literature by scrutinizing and affirming the interplay of essential user acceptance and value perceptions to explain ISI professionals' adoptions of OADRs.

scholarly journals Factors affecting the adoption of e-learning in Indonesia: Lesson from Covid-19

2020 ◽  
Vol 10 (2) ◽  
pp. 282
Author(s):  
Yubaedi Siron ◽  
Agus Wibowo ◽  
Bagus Shandy Narmaditya
Keyword(s):  
Computer Anxiety ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Survey Study ◽  
Perceived Ease Of Use ◽  
Online Questionnaire ◽  
Factors Affecting ◽  
Several Variables ◽  
E Learning ◽  
The Relationship

This study aims to examine factors affecting the use of e-learning during the Covid-19 pandemic in Indonesia. This survey study utilized a quantitative approach to understand the relationship variables by using SEM-PLS. An online questionnaire was distributed to collect information from respondents. A total of 250 questionnaires were gathered and 210 responses can be used for further analysis. The findings indicate that the students’ intention in using e-learning was determined by several variables, including perceived enjoyment, students experience, computer anxiety, and perceived self-efficacy. These findings also confirm that both perceived ease of use and perceived usefulness can explain the students’ intention in utilizing e-learning. The results provide an implication toward the importance of understanding factors of adoption of e-learning and how students can perceive e-learning as the response of the Covid-19 pandemic.

FACTORS AFFECTING THE ADOPTION OF ELECTRONIC MONEY USING TECHNOLOGY ACCEPTANCE MODEL AND THEORY OF PLANNED BEHAVIOR

2019 ◽  
Vol 24 (1) ◽  
pp. 100-113
Author(s):  
Filona ◽  
Misdiyono
Keyword(s):  
Theory Of Planned Behavior ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Electronic Money ◽  
Factors Affecting ◽  
Acceptance Model

With the rapid growth of information technology, electronic money has played an important and central role in the e-payment. Development of electronic money is able to create a trend less-cash society, which is a society’s behavior using non- cash transactions by utilizing the simplicity offered through electronic transactions. The purpose of this research is to determine the factors affecting the intention to use electronic money. We designed a questionnaire and used it to survey a simple random sampling of people who use of e-money in DKI Jakarta. The actual samples used for the study are 125 respondents. We analyzed the data using Structured Equation Modeling to evaluate the strength of the hypothesized effects. The result of the analysis showed that perceived ease of use has no significant effect on attitudes towards the use of e-money. Perceived ease of use has a significant effect on the perceived usefulness of e-money. Perceived usefulness has no significant effect on the intention to use e-money. Perceived usefulness has a significant effect on attitudes towards the use of e-money. Attitude has a significant effect on the intention to use e-money. Subjective norm has a significant effect on the intention to use e-money. Perceived behavioral control has no significant effect on the intention to use e-money. Keywords: electronic money, technology acceptance model, the theory of planned behavior.

Open source riverscapes: Analyzing the river corridor of the Naryn River in Kyrgyzstan based on open access data

2021 ◽  
Author(s):  
Florian Betz ◽  
Magdalena Lauermann ◽  
Bernd Cyffka
Keyword(s):  
Remote Sensing ◽  
Open Access ◽  
Large Scale ◽  
Data Sets ◽  
Hierarchical Systems ◽  
Geomorphological Mapping ◽  
Open Access Data ◽  
Access Data ◽  
River Corridors ◽  
River Corridor

<p>In fluvial geomorphology as well as in freshwater ecology, rivers are commonly seen as nested hierarchical systems functioning over a range of spatial and temporal scales. Thus, for a comprehensive assessment, information on various scales is required. Over the past decade, remote sensing based approaches have become increasingly popular in river science to increase the spatial scale of analysis. However, data-scarce areas have been mostly ignored so far despite the fact that most remaining free flowing – and thus ecologically valuable – rivers worldwide are located in regions characterized by a lack of data sources like LiDAR or even aerial imagery. High resolution satellite data would be able to fill this data gap, but tends to be too costly for large scale applications what limits the ability for comprehensive studies on river systems in such remote areas. This in turn is a limitation for management and conservation of these rivers.</p><p>In this contribution, we suggest an approach for river corridor mapping based on open access data only in order to foster large scale geomorphological mapping of river corridors in data-scarce areas. For this aim, we combine advanced terrain analysis with multispectral remote sensing using the SRTM-1 DEM along with Landsat OLI imagery. We take the Naryn River in Kyrgyzstan as an example to demonstrate the potential of these open access data sets to derive a comprehensive set of parameters for characterizing this river corridor. The methods are adapted to the specific characteristics of medium resolution open access data sets and include an innovative, fuzzy logic based approach for riparian zone delineation, longitudinal profile smoothing based on constrained quantile regression and a delineation of the active channel width as needed for specific stream power computation. In addition, an indicator for river dynamics based on Landsat time series is developed. For each derived river corridor parameter, a rigor validation is performed. The results demonstrate, that our open access approach for geomorphological mapping of river corridors is capable to provide results sufficiently accurate to derive reach averaged information. Thus, it is well suited for large scale river characterization in data-scarce regions where otherwise the river corridors would remain largely unexplored from an up-to-date riverscape perspective. Such a characterization might be an entry point for further, more detailed research in selected study reaches and can deliver the required comprehensive background information for a range of topics in river science.</p>

scholarly journals Attitudinal Factors Affecting Wiki Group Collaboration for English Writing

2015 ◽  
Vol 18 (2) ◽  
pp. 22-35 ◽  
Author(s):  
Chwen Jen Chen ◽  
Kee Man Chuah ◽  
Jimmy Tho ◽  
Chee Siong Teh
Keyword(s):  
Language Learning ◽  
Foreign Language Learning ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Factors Affecting ◽  
Group Collaboration ◽  
Construction Joint ◽  
Attitudinal Factors ◽  
And Performance

Abstract Wikis, being one of the popular Web 2.0 tools, have impacted students’ engagement and performance particularly in the aspects of second and foreign language learning. While an increasing number of studies have focused on the effectiveness of wiki in improving students’ writing skills, this study was conducted to examine the attitudinal factors that influence English as a Second Language (ESL) students’ group collaboration in using wikis for a writing task that was divided into three phases: pre-writing, individual-construction, joint-constructions. Data collected from these students after completing this task was analyzed based on three attitudinal aspects: motivation, perceived usefulness, and perceived ease of use. The findings reveal high mean scores for all aspects. Further multiple regression analysis reveals that motivation is the most important factor associated with group collaboration, indicating the need to boost students’ motivation to encourage effective collaboration in completing wiki writing tasks.

scholarly journals Advances in studying brain morphology: The benefits of open-access data

2017 ◽  
Author(s):  
Christopher R Madan
Keyword(s):  
Open Access ◽  
Brain Structure ◽  
Large Scale ◽  
Open Data ◽  
Brain Morphology ◽  
Subcortical Structures ◽  
Open Access Data ◽  
Age Related ◽  
Neuroimaging Data ◽  
Access Data

Until recently, neuroimaging data for a research study needed to be collected within one’s own lab. However, when studying inter-individual differences in brain structure, a large sample of participants is necessary. Given the financial costs involved in collecting neuroimaging data from hundreds or thousands of participants, large-scale studies of brain morphology could previously only be conducted by well-funded laboratories with access to MRI facilities and to large samples of participants. With the advent of broad open-access data-sharing initiatives, this has recently changed–here the primary goal of the study is to collect large datasets to be shared, rather than sharing of the data as an afterthought. This paradigm shift is evident as increase in the pace of discovery, leading to a rapid rate of advances in our characterization of brain structure. The utility of open-access brain morphology data is numerous, ranging from observing novel patterns of age-related differences in subcortical structures to the development of more robust cortical parcellation atlases, with these advances being translatable to improved methods for characterizing clinical disorders (see Figure 1 for an illustration). Moreover, structural MRIs are generally more robust than functional MRIs, relative to potential artifacts and in being not task-dependent, resulting in large potential yields. While the benefits of open-access data have been discussed more broadly within the field of cognitive neuroscience elsewhere (Gilmore et al., 2017; Poldrack and Gorgolewski, 2014; Van Horn and Gazzaniga, 2013; Voytek, 2016), as well as in other fields (Ascoli et al., 2017; Choudhury et al., 2014; Davies et al., 2017), the current paper is focused specifically on the implications of open data to brain morphology research.

scholarly journals FACTORS AFFECTING CUSTOMERS’ ACCEPTANCE OF THE ADOPTION OF BLOCKCHAIN TECHNOLOGY AT DONG A COMMERCIAL JOINT STOCK BANK, HUE BRANCH

2020 ◽  
Vol 129 (5A) ◽  
Author(s):  
Duong Dac Quang Hao ◽  
Tran Thai Hoa ◽  
Nguyen Huu Dung
Keyword(s):  
Structural Equation ◽  
Personal Characteristics ◽  
Influential Factors ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Integrative Model ◽  
Perceived Ease Of Use ◽  
Systematic Random Sampling ◽  
Factors Affecting ◽  
Blockchain Technology

Abstract: This study aims to develop and test the integrative model of the factors affecting customers’ acceptance intention of the adoption of blockchain technology. Data were collected from a sample of 195 customers who have been conducting transactions at Dong A Bank – Hue branch. Samples are selected by using the systematic random sampling method. Structural equation modelling (SEM) is used to test the hypothesized relationships. The findings indicate that six out of eight tested relationships are supported. Perceived usefulness (PU) and Perceived ease of use (PEU) are the most critical factors affecting customers’ Attitude (AT). Attitude also has a direct and positive correlation to customers’ acceptance Intention (IN). Notably, Personal characteristics (PC) and Risk perception (RP) are the two most influential factors affecting Perceived usefulness. And, the Perceived ease of use factor is only affected by customers’ Self-command (SC). In general, this study contributes to enriching the existing knowledge of blockchain adoption in banks and helps banks figure out an efficient way to adopt blockchain technology.Keywords: customers’ acceptance, blockchain adoption, Dong A Bank, Hue branch

scholarly journals A study of students’ attitudes towards using ICT in a social constructivist environment

2016 ◽  
Author(s):  
Yang Silin ◽  
David Kwok
Keyword(s):  
Technology Acceptance ◽  
Qualitative Data ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Survey Study ◽  
Learning Tools ◽  
Perceived Ease Of Use ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Students Attitudes

This study aims to examine the factors that support or hinder students’ attitudes towards using information and communication technology (ICT) in problem-based learning (PBL) using the technology acceptance model (TAM) (Davis, 1989) among polytechnic students. A total of 737 first-year polytechnic students in Singapore participated in the cross-sectional survey study by completing a questionnaire (The assessment of attitude and intention to use ICT tools among polytechnic students), which gathered both quantitative and qualitative data. Based on the analysis of the quantitative data, perceived usefulness and perceived ease of use are found to be significantly and positively correlated with attitudes towards using ICT. Results from the analysis of the qualitative data suggest five major themes (engagement, communication, information gathering, collaboration and efficiency) on what students enjoyed most about using ICT. On the other hand, Internet connectivity, usability, technical issues and ICT competency are the four other themes that categorised the difficulties students faced using ICT. An important implication is to develop polytechnic lecturers’ competency in the use of ICT-enabled learning tools as a priority to enable them to successfully integrate ICT in their PBL lessons. 

Metrics development and modelling the mixed reality and digital twin adoption in the context of Industry 4.0

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Samad M.E. Sepasgozar ◽  
Mohsen Ghobadi ◽  
Sara Shirowzhan ◽  
David J. Edwards ◽  
Elham Delzendeh
Keyword(s):  
Technology Acceptance ◽  
Mixed Reality ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Future Research ◽  
Key Factors ◽  
Content Type ◽  
Factors Affecting ◽  
Digital Twin ◽  
Acceptance Model

PurposeThis paper aims to examine the current technology acceptance model (TAM) in the field of mixed reality and digital twin (MRDT) and identify key factors affecting users' intentions to use MRDT. The factors are used as a set of key metrics for proposing a predictive model for virtual, augmented and mixed reality (MR) acceptance by users. This model is called the extended TAM for MRDT adoption in the architecture, engineering, construction and operations (AECO) industry.Design/methodology/approachAn interpretivist philosophical lens was adopted to conduct an inductive systematic and bibliographical analysis of secondary data contained within published journal articles that focused upon MRDT acceptance modelling. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) approach to meta-analysis were adopted to ensure all key investigations were included in the final database set. Quantity indicators such as path coefficients, factor ranking, Cronbach’s alpha (a) and chi-square (b) test, coupled with content analysis, were used for examining the database constructed. The database included journal papers from 2010 to 2020.FindingsThe extant literature revealed that the most commonly used constructs of the MRDT–TAM included: subjective norm; social influence; perceived ease of use (PEOU); perceived security; perceived enjoyment; satisfaction; perceived usefulness (PU); attitude; and behavioural intention (BI). Using these identified constructs, the general extended TAM for MRDT in the AECO industry is developed. Other important factors such as “perceived immersion” could be added to the obtained model.Research limitations/implicationsThe decision to utilise a new technology is difficult and high risk in the construction project context, due to the complexity of MRDT technologies and dynamic construction environment. The outcome of the decision may affect employee performance, project productivity and on-site safety. The extended acceptance model offers a set of factors that assist managers or practitioners in making effective decisions for utilising any type of MRDT technology.Practical implicationsSeveral constraints are apparent due to the limited investigation of MRDT evaluation matrices and empirical studies. For example, the research only covers technologies which have been reported in the literature, relating to virtual reality (VR), augmented reality (AR), MR, DT and sensors, so newer technologies may not be included. Moreover, the review process could span a longer time period and thus embrace a fuller spectrum of technology development in these different areas.Originality/valueThe research provides a theoretical model for measuring and evaluating MRDT acceptance at the individual level in the AECO context and signposts future research related to MRDT adoption in the AECO industry, as well as providing managerial guidance for progressive AECO professionals who seek to expand their use of MRDT in the Fourth Industrial Revolution (4IR). A set of key factors affecting MRDT acceptance is identified which will help innovators to improve their technology to achieve a wider acceptance.

Sign in / Sign up

Export Citation Format

Share Document