scholarly journals Explaining Ridesharing: Selection of Explanations for Increasing User Satisfaction

2021 ◽  
pp. 89-107
Author(s):  
David Zar ◽  
Noam Hazon ◽  
Amos Azaria
Keyword(s):  
User Satisfaction ◽  
Selection Of

scholarly journals Dimensions and Sub-Dimensions for the Evaluation of M-Learning Apps for Children: A Review

2018 ◽  
Vol 7 (3.20) ◽  
pp. 291
Author(s):  
Azham Hussain ◽  
Emmanuel O.C. Mkpojiogu ◽  
Fa’alina Hassan
Keyword(s):  
Learning Process ◽  
User Satisfaction ◽  
Data Extraction ◽  
Past Research ◽  
Review Of Literature ◽  
Implementation Phase ◽  
Synthesis Strategy ◽  
Definition Of ◽  
Selection Of

The introduction and rapid growth of mobile learning applications (m-learning apps) has improved the role of teachers in facilitating the learning process especially among children. The learning experiences of children are enhanced and enriched with the use of m-learning apps for children. There are several m-learning apps developed for children in the market today, however, some of these apps do not succinctly support and adequately assist in the learning process and educational endeavors and quest of these young minds. In this paper, a systematic review of literature was conducted to assess past research and studies on usability dimensions and sub-dimensions utilized in evaluating children’s m-learning apps. The systematic literature review consisted of the following approach: the definition of search strategy, selection of primary studies, data extraction, and implementation of synthesis strategy and lastly, the presentation of findings. The result of the review reveals that effectiveness, efficiency, learnability, and user satisfaction (with their corresponding sub-dimensions) were the top four usability dimensions used in the evaluation of m-learning apps for children. In addition, the works reviewed showed that usability evaluation is prominent only during the implementation phase of the applications’ development.  

The Grid Menu: Efficient and Robust Selection of Menu-Items

2002 ◽  
Vol 46 (14) ◽  
pp. 1281-1285
Author(s):  
Hong-In Cheng ◽  
Patrick E. Patterson
Keyword(s):  
Web Sites ◽  
User Satisfaction ◽  
User Preference ◽  
User Friendliness ◽  
Menu Item ◽  
Menu Choice ◽  
Large Numbers ◽  
Business Web ◽  
User Friendly ◽  
Selection Of

With the increasing use of e-business web sites, users are often asked to select a menu-item from a large numbers of options. In this research, the pull-down menu, fisheye menu and grid menu were tested to compare the performance time, error rate, user satisfaction, simplicity, user friendliness, usefulness, and overall user preference of each menu type. The grid menu was more efficient in selection speed than the pull-down and fisheye menus when the number of menu-items was 50 and 100. The time needed to choose a menu-item with a grid menu was less affected by the size of menu and the physical location of an item within a menu. The pull-down and the grid menus were considered to be more satisfactory, simple, user friendly, and useful than the fisheye menu. 42.3 percent of subjects indicated that the grid menu was their preferred selection tool among the menus. The grid menu is an efficient and robust alternative menu choice for small and middle size menu lists.

Determining User Satisfaction from the Gaps in Skill Expectations Between IS Employees and their Managers

2011 ◽  
pp. 276-287
Author(s):  
James Jiang ◽  
Gary Klein ◽  
Eric T.G. Wang
Keyword(s):  
Information System ◽  
Information Systems ◽  
Predictive Model ◽  
Predictive Models ◽  
User Satisfaction ◽  
Polynomial Regression ◽  
Business Skills ◽  
Polynomial Regression Models ◽  
The Individual ◽  
Selection Of

The skills held by information system professionals clearly impact the outcome of a project. However, the perceptions of just what skills are expected of information systems (IS) employees have not been found to be a reliable predictor of eventual success in the literature. Though relationships to success have been identified, the results broadly reported in the literature are often ambiguous or conflicting, presenting difficulties in developing predictive models of success. We examine the perceptions of IS managers and IS employees for technology management, interpersonal, and business skills to determine if their perceptions can serve to predict user satisfaction. Simple gap measures are dismissed as inadequate because weights on the individual expectations are not equal and predictive properties low. Exploratory results from polynomial regression models indicate that the problems in defining a predictive model extend beyond the weighting difficulties, as results differ by each skill type. Compound this with inherent problems in the selection of a success measure, and we only begin to understand the complexities in the relationships that may be required in an adequate predictive model relating skills to success.

scholarly journals Analysis of Online Car Service from User Aspect Using Importance Performance Analysis (IPA) Method

2020 ◽  
Vol 2 (2) ◽  
pp. 8-13
Author(s):  
Mochammad Faisol ◽  
Sri Wiwoho Mudjanarko
Keyword(s):  
Data Analysis ◽  
Performance Analysis ◽  
Environmental Pollution ◽  
User Satisfaction ◽  
Analysis Method ◽  
Selection Of

Several factors are considered by consumers in the selection of online transportation such as ease of ordering, appropriate prices and several other factors. The purpose of this study is to determine the effect of services provided online car services to users and determine the factors that need to be improved. This study used a sample of 96 respondents with data analysis using the Importance Performance Analysis method. The results showed that the Online Car (Grab Car) service affected User Satisfaction and the factors that needed to be improved consisted of Timeliness, Attention to, Safety and Environmental Pollution.

scholarly journals IMPLEMENTASI ALGORITMA K-NEAREST NEIGHBOR PADA WEBSITE REKOMENDASI LAPTOP

2019 ◽  
Vol 10 (1) ◽  
pp. 75
Author(s):  
Chandra Arief Rahardja ◽  
Try Juardi ◽  
Halim Agung
Keyword(s):  
User Satisfaction ◽  
Nearest Neighbor ◽  
K Nearest Neighbor ◽  
Making Choices ◽  
Selection Of

There are various types of laptops that make consumers or prospective buyers have difficulty in making choices accurately and precisely. The K-Nearest Neighbor (K-NN) algorithm was chosen because the K-NN algorithm is a form of model that can help classify data based on the closest distance. This system is designed to help prospective buyers in choosing a laptop based on purchase objectives such as gaming, design, and office, price, also specifications regarding the desired laptop. This system helps provide a shadow or reference to users or prospective buyers in determining the selection of laptops as needed. Based on user satisfaction test, from testing carried out to 10 users. As a result, 8 out of 10 people answered with the answers agreeing with the results of the recommendations given, with the results of the percentage of satisfaction with the recommendations of 80%, therefore the recommendations of laptops made were declared successful

Responding to Student Needs through Library E-Database Investment – An MCAST Journey

2021 ◽  
Vol 5 (1) ◽  
pp. 66-80
Author(s):  
Liza Franco ◽  
Abigail-Anne Agius ◽  
Carmel Borg
Keyword(s):  
User Satisfaction ◽  
Quantitative Research ◽  
Research Approach ◽  
Academic Needs ◽  
Electronic Resources ◽  
Online Questionnaire ◽  
Library Users ◽  
Current Scenario ◽  
Selection Of ◽  
The Ideal

The aim of this study was to explore the requirements of the Malta College of Arts Science and Technology (MCAST) library users and to propose an adequate solution to their academic needs. The present study also examines the current scenario at MCAST in relation to the usage and awareness of e-resources. A quantitative research approach was adopted for this study with a survey as a research instrument. This paper is based on a previous investigation conducted to better understand user satisfaction and associated issues. Like in any other area, librarianship and innovation walk hand in hand. In this case, digitalisation can be seen as both a challenge and an opportunity. MCAST Library is no exception. Prior to 2020, there was already a demand for more electronic resources in response to the addition of new courses. A thorough search was then conducted by the library team to find a solution to the users’ requirements. The selection of the ideal database was mainly based upon two variables. Firstly, its proper coverage of all the institutes was ensured. Secondly, the presence of new resources that are not duplicated in the databases available to MCAST at that time was confirmed. Following the analysis of feedback and comments obtained through an online questionnaire, the library focused on IEEE Xplore as it satisfied most of the requirements. Following the successful initial trial runs and the report of subsequent usage, the IEEE database was acquired. The provision of electronic resources indicates a boost in quality research amongst MCAST students, faculty, and researchers.

scholarly journals The PARADISE Evaluation Framework: Issues and Findings

2006 ◽  
Vol 32 (2) ◽  
pp. 263-272 ◽  
Author(s):  
Melita Hajdinjak ◽  
France Mihelič
Keyword(s):  
User Satisfaction ◽  
Evaluation Framework ◽  
Dialogue System ◽  
Performance Function ◽  
Wizard Of Oz ◽  
Regression Parameters ◽  
Recognition Errors ◽  
Evaluation Of Data ◽  
Satisfaction Measures ◽  
Selection Of

There has been a great deal of interest over the past 20 years in developing metrics and frameworks for evaluating and comparing the performance of spoken-language dialogue systems. One of the results of this interest is a potential general methodology, known as the PARADISE framework. This squib highlights some important issues concerning the application of PARADISE that have, up to now, not been sufficiently emphasized or have even been neglected by the dialogue-system community. These include considerations regarding the selection of appropriate regression parameters, normalization effects on the accuracy of the prediction, the influence of speech-recognition errors on the performance function, and the selection of an appropriate user-satisfaction measure. In addition, it gives the results of an evaluation of data from two Wizard-of-Oz experiments. These evaluations include different dependent variables and examination of individual user-satisfaction measures.

Sistem Pendukung Keputusan Penerima Beasiswa UMN dengan Profile Matching

2018 ◽  
Vol 10 (1) ◽  
pp. 1-6
Author(s):  
Marvin Apriyadi ◽  
Seng Hansun
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
User Satisfaction ◽  
Final Decision ◽  
Academic Scholarship ◽  
Profile Matching ◽  
Calculation Results ◽  
Manual Calculation ◽  
Selection Of

This paper describes about the design and development of UMN scholarship decision support system using Profile Matching method. At Universitas Multimedia Nusantara (UMN), there are scholarships for students in order to ease the burden of education costs. There are achievement scholarships, scholarships for students whose parents died, and non-academic scholarships. Decision support systems play an important role in the termination of the final decision, and therefore this application is built by implementing the method of Profile Matching to aid in the selection of the scholarship decisions for students whose parent were died and non-academic scholarship. Profile Matching is a method that aims at taking decisions by assuming that there is an ideal level of predictor variables that must be met by the subjects studied, instead of the minimum rate that must be met or passed. From the results, it can be concluded that this method successfully implemented into applications that can help in decision making process. Result of user satisfaction level for this application is 72%, the result of manual calculation with the application calculation results is not much different so that this application can assist in supporting the UMN scholarship decision. Index Terms— decision support system, non-academic scholarship, Profile Matching, scholarships for student whose parents died, UMN

scholarly journals EVALUASI PENERAPAN SISTEM INFORMASI ABSENSI ONLINE DENGAN HOT FIT MODEL

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Ratna Kartika Wiyati ◽  
Ni Luh Ayu Kartika Yuniastari Sarja
Keyword(s):  
Information System ◽  
User Satisfaction ◽  
Teaching And Learning ◽  
System Quality ◽  
Student Attendance ◽  
Data Collection And Analysis ◽  
Regression Test ◽  
The Impact ◽  
Hypothesis Evaluation ◽  
Selection Of

ABSTRACT Attendance is a compulsory activity in lectures. STIKOM Bali uses an online attendance information system to attend student attendance in each teaching and learning process. To find out the success of implementing an information system needs to be evaluated. Evaluation is done so that the organization can find out the impact and benefits of implementing an information system for users such as lecturers and academic and organizational sections. Therefore it is necessary to evaluate the STIKOM Bali online attendance information system. This study evaluates success using the HOT Fit model. The selection of the HOT Fit model is because this model involves important components in the application of the system, namely human, technology and organization. The research methods used in this study are exploration of concepts and observations, analysis of variables and hypotheses, data collection and analysis and conclusions. Based on the results of hypothesis evaluation, eleven hypotheses proved significant. Based on this, it can be concluded that the success rate of the online attendance information system at Bali STIKOM is good. While based on the results of the regression test found the influence of the largest variable is the effect of system quality variables on user satisfaction and service quality on usage with the value of R Square of 62.5%. Keywords:  attendance, online attendance information system, HOT Fit model <br /> <br />ABSTRAK Absensi merupakan kegiatan wajib dalam perkuliahan. STIKOM Bali menggunakan sistem informasi absensi online untuk melakukan presensi kehadiran mahasiswa dalam setiap proses belajar mengajar. Untuk mengetahui keberhasilan penerapan sebuah sistem informasi perlu dilakukan evaluasi. Evaluasi dilakukan agar organisasi dapat mengetahui dampak dan manfaat penerapan sistem informasi baik bagi pengguna seperti dosen dan bagian akademik maupun organisasi. Oleh karena itu perlu dilakukan evaluasi terhadap sistem informasi absensi online STIKOM Bali. Penelitian ini melakukan evaluasi kesuksesan menggunakan model HOT Fit. Pemilihan model HOT Fit dikarenakan model ini melibatkan komponen penting dalam penerapan sistem yaitu human atau pengguna, teknologi dan organisasi Metode penelitian yang digunakan dalam penelitian ini adalah eksplorasi konsep dan observasi, analisis variabel dan hipotesis, pengumpulan dan analisis data serta penarikan kesimpulan. Berdasarkan hasil evaluasi hipotesis, sebelas hipotesis terbukti signifikan. Berdasarkan hal tersebut dapat disimpulkan bahwa tingkat kesuksesan sistem informasi absensi online pada STIKOM Bali baik. Sedangkan berdasarkan hasil uji regresi didapatkan pengaruh variabel terbesar adalah pengaruh variabel kualitas sistem terhadap kepuasan pengguna dan kualitas layanan terhadap penggunaan dengan nilai R Square sebesar 62,5 %. Kata kunci : absensi, sistem informasi absensi online, model HOT Fit <br />

Hygrothermal Simulation Applied to Energy Efficiency Improvement

2017 ◽  
Vol 371 ◽  
pp. 97-101
Author(s):  
J.M.P.Q. Delgado
Keyword(s):  
User Satisfaction ◽  
Weather Data ◽  
Energy Costs ◽  
Energy Efficiency Improvement ◽  
Hygrothermal Simulation ◽  
Key Factor ◽  
Important Input ◽  
Data Gap ◽  
High Degree ◽  
Selection Of

The exterior weather data is a key factor in buildings’ behaviour and an important input of hygrothermal simulation, as tool to previously assess the buildings’ behaviour and achieve sustainable buildings with high degree of user satisfaction and lower energy costs. Hygrothermal simulations were conducted using a commercial hygrothermal simulation tool considering two reference years. The results were statistically compared. They showed that the weather data-gap filling to create the TRY did not influence considerably the outputs of the hygrothermal simulation, mostly because they were only used in the month selection of the TRY and not for numerical simulation purposes.

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