Accounting for user diversity in configuring online systems

Online Review ◽  
1992 ◽  
Vol 16 (5) ◽  
pp. 303-311
Author(s):  
Peter Woolliams ◽  
David Gee
Keyword(s):  
Online Systems

ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI TAX COMPLIANCE TERHADAP PENYAMPAIAN SPT TAHUNAN WAJIB PAJAK ORANG PRIBADI

2019 ◽  
Vol 3 (2) ◽  
pp. 19
Author(s):  
Mela Cyntia Sani ◽  
Khuznatul Zulfa Wafirotin ◽  
Ika Farida Ulfa
Keyword(s):  
Behavioral Control ◽  
Linear Regression Analysis ◽  
Tax Compliance ◽  
Multiple Linear Regression Analysis ◽  
Primary Data ◽  
Analysis Method ◽  
Online Systems ◽  
Tax Returns ◽  
Directorate General ◽  
The Government

Individual Taxpayers (WPOP) experience problems every year due to difficulties in filling out SPT. The Directorate General of Taxes issued a new policy in providing easy Notification Services (SPT) using online systems namely e-Filling and e-SPT. The policy taken by the government turned out that there were still many obstacles faced by the KPP Pratama Ponorogo Tax Office regarding ponorogo's lack of understanding related to filling out SPT manually or online using e-SPT and e-Felling. So that this certainly can make taxpayers object to the submission of Annual Tax Returns, especially in terms of calculating the tax payable which must be calculated on its own. Data collection is done by using primary data in the form of questionnaires. The samples processed in this study were 100 respondents who were distributed to individual taxpayers registered at KPP Pratama Ponorogo. Data analysis method uses validity test and reliability test, hypothesis testing using multiple linear regression analysis. The results of this study indicate that the awareness of taxpayers, taxpayer intentions, taxpayer attitudes, subjective norms, behavioral control and ease of tax return filling process affect Tax Compliance (tax compliance) submission of Annual Tax Returns. This is because taxpayers know, understand and implement taxation provisions correctly and voluntarily so as to increase taxpayer compliance in fulfilling their obligations and are willing to report taxes with their own awareness.

Policy Considerations for the Design and Use of Web Portals for Researchers, Clinicians, and Patients: A Scoping Literature Review (Preprint)

2020 ◽  
Author(s):  
Michael Lang ◽  
Sébastien Lemieux ◽  
Josée Hébert ◽  
Guy Sauvageau ◽  
Ma'n H. Zawati
Keyword(s):  
Patient Care ◽  
Health Research ◽  
Complex Disease ◽  
Patient Empowerment ◽  
Patient Portals ◽  
Research Results ◽  
Online Systems ◽  
The Public ◽  
Online Tools ◽  
Research Findings

BACKGROUND Medical care and health research are jointly undergoing significant changes brought about by the Internet [1,2,3]. New online tools, apps, and programs are helping to facilitate unprecedented levels of data sharing and collaboration, potentially enabling more precisely targeted treatment and rapid research translation [4,5,6]. Patient portals have been a significant part of this emerging online health ecosystem, providing patients a mechanism for accessing electronic health records, managing appointments and prescriptions, even communicating directly with care providers [7]. Much has been written about the technical and ethical challenges associated with the development and integration of patient portals into the clinic [8,9]. But portal technology might also be used to connect health researchers to clinicians, patients, and the public. Online systems could be a useful platform for broadly and rapidly disseminating research results while also promoting patient empowerment. OBJECTIVE The aim of this study is to assess the potential use of online portals that facilitate the sharing of health research findings among researchers, clinicians, patients, and the public. It will also summarize the potential legal, ethical, and policy implications associated with such tools for public use and in the management of patient care for complex disease. METHODS We systematically consulted three databases, PubMed, Scopus, and WestLaw Next for sources describing online portals for sharing health research findings among clinicians, researchers, and patients and their associated legal, ethical, and policy challenges. raised by the integration of online tools into patient care for complex disease. Of 719 source citations, we retained 22 for review. RESULTS We found a varied and inconsistent treatment of online portals for sharing health research findings among clinicians, researchers, and patients. While the literature supports the view that portals of this kind are potentially highly promising, they remain novel and are not yet being widely adopted. We also found a wide-ranging discussion on the legal, ethical, and policy issues related to the use of online tools for sharing research data. We identified five important policy challenges: privacy & confidentiality, health literacy & patient empowerment, equity, training, and decision making. Each of these, we contend, have meaningful implications for the increased integration of online tools into clinical care. CONCLUSIONS As online tools become increasingly important mechanisms for sharing health research with clinicians, patients, and the public, it is vital that these developments are met with ethical and conceptual scrutiny. Therapeutic portals as they are presented in this paper may become a more widespread feature of precision and translational medicine. Our findings suggest that online portals are already being used to disseminate research results among clinicians, patients, and the public. But much of the ethical and conceptual debate is framed in terms of the patient portal, a concept that does not adequately reflect the potentially broader scope of therapeutic portals. It may be useful to clarify this distinction in future research and to underscore the unique ethical, legal, and policy challenges raised when online systems are used as a platform for disseminating research to as wide an audience as possible. CLINICALTRIAL n/a

Review Summary Generation in Online Systems: Frameworks for Supervised and Unsupervised Scenarios

2021 ◽  
Vol 15 (3) ◽  
pp. 1-33
Author(s):  
Wenjun Jiang ◽  
Jing Chen ◽  
Xiaofei Ding ◽  
Jie Wu ◽  
Jiawei He ◽  
...  
Keyword(s):  
Decision Making ◽  
Real World ◽  
Text Summarization ◽  
Experimental Results ◽  
Product Review ◽  
Comprehensive Review ◽  
Online Systems ◽  
Real World Datasets ◽  
Different Characteristics

In online systems, including e-commerce platforms, many users resort to the reviews or comments generated by previous consumers for decision making, while their time is limited to deal with many reviews. Therefore, a review summary, which contains all important features in user-generated reviews, is expected. In this article, we study “how to generate a comprehensive review summary from a large number of user-generated reviews.” This can be implemented by text summarization, which mainly has two types of extractive and abstractive approaches. Both of these approaches can deal with both supervised and unsupervised scenarios, but the former may generate redundant and incoherent summaries, while the latter can avoid redundancy but usually can only deal with short sequences. Moreover, both approaches may neglect the sentiment information. To address the above issues, we propose comprehensive Review Summary Generation frameworks to deal with the supervised and unsupervised scenarios. We design two different preprocess models of re-ranking and selecting to identify the important sentences while keeping users’ sentiment in the original reviews. These sentences can be further used to generate review summaries with text summarization methods. Experimental results in seven real-world datasets (Idebate, Rotten Tomatoes Amazon, Yelp, and three unlabelled product review datasets in Amazon) demonstrate that our work performs well in review summary generation. Moreover, the re-ranking and selecting models show different characteristics.

scholarly journals A hybrid recommender system based-on link prediction for movie baskets analysis

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Mohammadsadegh Vahidi Farashah ◽  
Akbar Etebarian ◽  
Reza Azmi ◽  
Reza Ebrahimzadeh Dastjerdi
Keyword(s):  
Recommender System ◽  
Link Prediction ◽  
Mean Squared Error ◽  
Spatial Clustering ◽  
Randomized Algorithm ◽  
Similarity Criterion ◽  
Absolute Error ◽  
Similarity Criteria ◽  
Online Systems ◽  
Squared Error

AbstractOver the past decade, recommendation systems have been one of the most sought after by various researchers. Basket analysis of online systems’ customers and recommending attractive products (movies) to them is very important. Providing an attractive and favorite movie to the customer will increase the sales rate and ultimately improve the system. Various methods have been proposed so far to analyze customer baskets and offer entertaining movies but each of the proposed methods has challenges, such as lack of accuracy and high error of recommendations. In this paper, a link prediction-based method is used to meet the challenges of other methods. The proposed method in this paper consists of four phases: (1) Running the CBRS that in this phase, all users are clustered using Density-based spatial clustering of applications with noise algorithm (DBScan), and classification of new users using Deep Neural Network (DNN) algorithm. (2) Collaborative Recommender System (CRS) Based on Hybrid Similarity Criterion through which similarities are calculated based on a threshold (lambda) between the new user and the users in the selected category. Similarity criteria are determined based on age, gender, and occupation. The collaborative recommender system extracts users who are the most similar to the new user. Then, the higher-rated movie services are suggested to the new user based on the adjacency matrix. (3) Running improved Friendlink algorithm on the dataset to calculate the similarity between users who are connected through the link. (4) This phase is related to the combination of collaborative recommender system’s output and improved Friendlink algorithm. The results show that the Mean Squared Error (MSE) of the proposed model has decreased respectively 8.59%, 8.67%, 8.45% and 8.15% compared to the basic models such as Naive Bayes, multi-attribute decision tree and randomized algorithm. In addition, Mean Absolute Error (MAE) of the proposed method decreased by 4.5% compared to SVD and approximately 4.4% compared to ApproSVD and Root Mean Squared Error (RMSE) of the proposed method decreased by 6.05 % compared to SVD and approximately 6.02 % compared to ApproSVD.

The awakening information needs of the developing countries

1979 ◽  
Vol 1 (5) ◽  
pp. 285-289 ◽  
Author(s):  
Bjorn V. Tell
Keyword(s):  
Developing Countries ◽  
Information Needs ◽  
Information Services ◽  
Information Network ◽  
Access To Information ◽  
Industrialized Countries ◽  
Online Systems ◽  
The Awakening ◽  
Set Up ◽  
Centres Of Excellence

The developing countries arc emulating the industrialized countries when setting up information services to cater for their information needs. However, the traditional infrastruc ture of service organisations may not be the best model for supporting easy and speedy access to information. A different approach is argued, founded upon the enthusiasm with which many developing countries have taken to online systems when demonstrated there. A model for a ministerial information network is proposed as part of a "social intel ligence function" of the country. It is proposed that Unesco and UNIDO should set up regional "centres of excellence" according to this model for developing countries.

scholarly journals Practitioner's challenges in designing trust into online systems

2010 ◽  
Vol 5 (3) ◽  
Author(s):  
Haralambos Mouratidis ◽  
Piotr Cofta
Keyword(s):  
Online Systems

Implications of artificial intelligence for end user use of online systems

Online Review ◽  
1980 ◽  
Vol 4 (4) ◽  
pp. 383-391 ◽  
Author(s):  
Linda C. Smith
Keyword(s):  
Artificial Intelligence ◽  
End User ◽  
Online Systems

scholarly journals Formation of platform economy of necessary needs based on energy economic equivalent

2021 ◽  
Vol 3 (2) ◽  
pp. 297-304
Author(s):  
Evgeniy Bryndin ◽  
Keyword(s):  
Public Relations ◽  
Energy Intensity ◽  
High Tech ◽  
Real Economy ◽  
Online Systems ◽  
The Future ◽  
Security Problem ◽  
The Status ◽  
Digital Money ◽  
Platform Economy

Recently, many non-state money systems have appeared based on digital cryptocurrencies. The disadvantages of digital cryptocurrencies are the separation from real production, the inequality of participants, the lack of control by state bodies, and the security problem. Digital money becomes full-fledged only when it is connected with the real economy and financially secured. The author proposes the introduction of a material digital energy economic equivalent. Based on the digital energy of the economic equivalent, it is proposed to form a digital high-tech platform economy of healthy needs, like the economy of the future. Platform economy is an economic activity based on platforms, which are understood as online systems that provide comprehensive standard solutions for interaction between users, including commercial transactions and innovative solutions. It is proposed to measure the efficiency of the future economy by economic energy intensity. Energy intensity is represented by a certain amount of energy of economic equivalent, in accordance with the law of energy conservation. Reliance on a materially supported digital energy economic equivalent, as a new currency, makes a digital high-tech platform economy of healthy needs synergistic, efficient, sustainable, safe, ecological, open, controlled by society, without speculative operations, health supportive, accurately measured through digital energy intensity. Material digital energy intensity will avoid the speculative shortcomings of existing digital money systems. To this end, governments establish a procedure for regulating the energy economy with an economic equivalent, as an impact on public relations in order to streamline and stabilize them, in order to realize the necessary needs of society in accordance with the available resources. The status of an energy economic equivalent means recognition by the economic community as universal equivalent.

scholarly journals MACHINE LEARNING APPROACH FOR CRYPTOSYSTEM SUGGEST IN EDUCARE OVER CLOUDS

2021 ◽  
Vol 9 (6) ◽  
pp. 98-103
Author(s):  
Ravish G K ◽  
Thippeswamy K
Keyword(s):  
Machine Learning ◽  
Research Work ◽  
Cloud Services ◽  
Learning System ◽  
Security And Privacy ◽  
Great Promise ◽  
Sensitive Information ◽  
Online Systems ◽  
Machine Learning Approach ◽  
Time Requirements

In the current situation of the pandemic, global organizations are turning to online functionality to ensure survival and sustainability. The future, even though uncertain, holds great promise for the education system being online. Cloud services for education are the center of this research work as they require security and privacy. The sensitive information about the users and the institutions need to be protected from all interested third parties. since the data delivery on any of the online systems is always time sensitive, the have to be fast. In previous works some of the algorithms were explored and statistical inference based decision was presented. In this work a machine learning system is designed to make that decision based on data type and time requirements.

scholarly journals Analisis dan Perancangan Sistem Karcis Elektronik Pada Gerbang Masuk Busway Dengan Menggunakan RFID

2010 ◽  
Vol 1 (2) ◽  
pp. 942
Author(s):  
Suryadiputra Liawatimena
Keyword(s):  
Response Time ◽  
Data Security ◽  
System Performance ◽  
Research Laboratory ◽  
Laboratory Experiments ◽  
Field Survey ◽  
The Internet ◽  
Literature Study ◽  
Online Systems ◽  
Minimum System

The aim of this study is to use Radio Frequency technology to facilitate human activities, especially used in Busway entrances. In this research methodologies used include field survey to the BP Transjakarta; literature study by reading manuals, text books, journals, and articles on the Internet, and conduct laboratory experiments on the Bina Nusantara University Hardware Research Laboratory in designing and making the minimum system . Based on the results of an experiment and taking data on the minimum system, it can be concluded in general the performance of the system is running well, but the response time was not optimal. Some improvements to the system needed to improve system performance, such as raising response time, improved data security, and online systems. 

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