A CUSTOMER-ORIENTED DECISION AGENT FOR PRODUCT SELECTION IN WEB-BASED SERVICES

2008 ◽  
Vol 07 (01) ◽  
pp. 35-52 ◽  
Author(s):  
RAID AL-AOMAR ◽  
FIKRI DWEIRI
Keyword(s):  
Smart Phone ◽  
Cellular Phone ◽  
User Perception ◽  
Product Selection ◽  
Web Based ◽  
Business Applications ◽  
Wide Range ◽  
Online Stores ◽  
Hierarchy Process

This paper describes a web-based Decision Agent (DA) that provides a customer-oriented approach for selecting products in online orders. The proposed approach is focused on enhancing the front-end of company's business portal by segmenting prospective online customers and directing them to use decision modules that improve user perception in terms of effort, accuracy, and acceptance. The user's Consistency Ratio (CR) in evaluating the attributes of online products is used to categorize prospected users and to direct them to proceed with one of three decision modules, Analytical Hierarchy Process (AHP), Simple Multi-Attribute Rating Technique (SMART), and Direct Scaling Method (DSM). The proposed approach is applied to an online cellular phone selection case study. Experimental results showed the fit of assigned decision modules to customer classes where users made smart phone selections with less effort and higher reported convenience and satisfaction. The approach can be tailored for other online products and can be integrated into the websites of producers and online stores in a wide range of business applications.

scholarly journals Food and Agricultural Product Pilot Selection for Geographical Indication Projects

New Medit ◽  
2020 ◽  
Vol 19 (3) ◽  
Author(s):  
SERTAÇ Dokuzlu ◽  
Jean-Claude PONS ◽  
Emilie VANDECANDELAERE ◽  
Maud ROGGIA ◽  
Maria RICCI ◽  
...  
Keyword(s):  
Lessons Learned ◽  
Agricultural Product ◽  
Control Group ◽  
Geographical Indication ◽  
Analytic Hierarchy ◽  
Product Selection ◽  
Standard Data ◽  
Concrete Experience ◽  
Hierarchy Process

This study assesses methodologies used during the selection of pilot products for the support to development of sustainable geographical indication projects by using the FAO/EBRD project as a case study. Relevant pilot products are essential to provide stakeholders with concrete experience, demonstrative effects and lessons learned in order to disseminate bets practices and facilitate scaling-out of sustainable GI processes. Qualitative data were transformed to quantitative data for product selection because data for local products were insufficient, and standard data were unavailable for each product. Analytic hierarchy process (AHP), simple scoring and geographical indication assessment form were used together as product selection methods. Gemlik Olives, the first registered geographical indication product in the Bursa province, was included during assessment as a control group. Six local products with a potential for GI registration were considered for pilot product selection to serve as demonstrative process. Results suggest that the most important selection criteria were “reputation of the product” and “power of the organisation” and first two ranked products selected for the project were Bursa Black Figs and Bursa Peaches.

scholarly journals Medical Data Mining Course Development in Postgraduate Medical Education: Web-Based Survey and Case Study (Preprint)

2020 ◽  
Author(s):  
Lin Yang ◽  
Si Zheng ◽  
Xiaowei Xu ◽  
Yueping Sun ◽  
Xuwen Wang ◽  
...  
Keyword(s):  
Data Mining ◽  
Medical Education ◽  
Medical Students ◽  
Postgraduate Medical Education ◽  
Medical Data ◽  
Medical Data Mining ◽  
Web Based ◽  
Wide Range ◽  
R Programming

BACKGROUND Medical postgraduates’ demand for data capabilities is growing, as biomedical research becomes more data driven, integrative, and computational. In the context of the application of big data in health and medicine, the integration of data mining skills into postgraduate medical education becomes important. OBJECTIVE This study aimed to demonstrate the design and implementation of a medical data mining course for medical postgraduates with diverse backgrounds in a medical school. METHODS We developed a medical data mining course called “Practical Techniques of Medical Data Mining” for postgraduate medical education and taught the course online at Peking Union Medical College (PUMC). To identify the background knowledge, programming skills, and expectations of targeted learners, we conducted a web-based questionnaire survey. After determining the instructional methods to be used in the course, three technical platforms—Rain Classroom, Tencent Meeting, and WeChat—were chosen for online teaching. A medical data mining platform called Medical Data Mining - R Programming Hub (MedHub) was developed for self-learning, which could support the development and comprehensive testing of data mining algorithms. Finally, we carried out a postcourse survey and a case study to demonstrate that our online course could accommodate a diverse group of medical students with a wide range of academic backgrounds and programming experience. RESULTS In total, 200 postgraduates from 30 disciplines participated in the precourse survey. Based on the analysis of students’ characteristics and expectations, we designed an optimized course structured into nine logical teaching units (one 4-hour unit per week for 9 weeks). The course covered basic knowledge of R programming, machine learning models, clinical data mining, and omics data mining, among other topics, as well as diversified health care analysis scenarios. Finally, this 9-week course was successfully implemented in an online format from May to July in the spring semester of 2020 at PUMC. A total of 6 faculty members and 317 students participated in the course. Postcourse survey data showed that our course was considered to be very practical (83/83, 100% indicated “very positive” or “positive”), and MedHub received the best feedback, both in function (80/83, 96% chose “satisfied”) and teaching effect (80/83, 96% chose “satisfied”). The case study showed that our course was able to fill the gap between student expectations and learning outcomes. CONCLUSIONS We developed content for a data mining course, with online instructional methods to accommodate the diversified characteristics of students. Our optimized course could improve the data mining skills of medical students with a wide range of academic backgrounds and programming experience.

scholarly journals Application of the E-Bussines Concept to a Double Bread Company (Case Study of FEBI UINSU Students)

2022 ◽  
Vol 3 (1) ◽  
Author(s):  
Arbarija Hafiz Lbs ◽  
Erlangga Hakim Manurung ◽  
Nurbaiti Nurbaiti
Keyword(s):  
Customer Relationship Management ◽  
Customer Relationship ◽  
Management Approach ◽  
Company Performance ◽  
Web Based ◽  
Business Applications ◽  
Careful Preparation ◽  
The Cost ◽  
Business Technology

With the large number of fans of Roti Ganda outside the Pematang Siantar area, therefore an E-business implementation system is needed in the company. The use of e-business technology facilitates company performance and improves company quality. The application of this technology can expand the company's market share, especially the cost for advertising which is cheap compared to advertising on the street and mass media. There needs to be socialization and in-depth  learning as well as careful preparation before implementing e-business applications. In the process of designing the application of E-Business at a web- based Double Bakery Shop with a CRM (Customer Relationship Management) approach, an explanation or theory is needed that can support and support success in making the information system and to explain to users how the functions and benefits of implementing E-Business are needed. on a web-based Double Bakery with a CRM approach.

A New Concept of Product Design by Involving Emotional Factors using EEG: A Case Study of Computer Mouse Design

2021 ◽  
Vol 19 (1) ◽  
pp. 63-80
Author(s):  
Sugiono Sugiono ◽  
Andi S. Putra ◽  
Renaldi P ◽  
Angga A. Fanani ◽  
Amanda N. Cahyawati ◽  
...  
Keyword(s):  
Product Design ◽  
Emotional Factor ◽  
Product Selection ◽  
Emotional Factors ◽  
Computer Mouse ◽  
Three Stages ◽  
Hierarchy Process ◽  
Level Of Importance ◽  
Emotional Level

Product design has long been developed based on reliability and usability, but has neglected the objective measurement in terms of pleasurable experience. This paper presents a new concept of product design, with application in computer mouse design, which not only considers the performance of its functional factor but also emotional factor. A survey involving 153 respondents showed that 75.16% of respondents consider ergonomic / comfort factor as the most important factor, followed by precision factor with 58.17%, and noise factor with 15.03%. Furthermore, a survey of pairewise comparisons were conducted to assess the level of importance of the emotional factor. Analytical Hierarchy Process (AHP) was used to process weightage, resulting in stress = 0.27, focus = 0.279, engagement = 0.29, and interest = 0.265. Finally, the emotional level of 5 different mouse units was assessed through experiments using the EEG Emotiv 16 Channels system 10-20. There are three stages in assessing the mouse which were carried out using the 5 samples, namely the level of interest, the stage of using (ergonomics, focus) t, and the stage of user experience (engagement). From the average measurement of the EEG value, it was found that interest = 57.8 (scale 0-100) on a mouse that has an elegant shape, striking color, and with wifi connectivity, focus & stress because the size fits the shape of the hand and the level of cursor precision, while engagement follows the other three emotional factors. It can be concluded that brain signal exploration through Emotiv's EEG is able to quantify the emotional factor in product selection through the phase of attraction, use and experience.

E-Learning and M-Learning

2014 ◽  
pp. 284-300 ◽  
Author(s):  
Lisa Soon
Keyword(s):  
Technology Use ◽  
Learning Experience ◽  
Team Work ◽  
Collaborative Group ◽  
Web Based ◽  
Group Assessment ◽  
Wide Range ◽  
E Learning ◽  
Local Students

This research explores the relationship between e-learning and m-learning by investigating distance education students’ use of a learning management system, “Interact,” for virtual team work. The paper explores their experience of online collaborative group assignments in the subject “Information Management in Organisations.” International and local students were grouped. Each group undertook a case study project to propose solutions for identified problems in their chosen organisations. Students developed their assignment in wikis and used various tools for communication and document storage. An anonymous web-based survey was conducted after students completed the group assessment. The results reflected a wide range of factors including technology use, working with students from a different country, and challenges they faced completing group assessment online. Their feedback on their e-learning experience indicated the need for m-learning to address their concerns. The findings indicate a need for m-learning to support e-learning further, which could significantly improve the facilitation of online collaborative group assignments.

A Novel Hybrid Fuzzy AHP-GA Method for Test Sheet Question Selection

2020 ◽  
Vol 19 (02) ◽  
pp. 629-647 ◽  
Author(s):  
Murat İnce ◽  
Tuncay Yiğit ◽  
Ali Hakan Işik
Keyword(s):  
Fuzzy Ahp ◽  
Evaluation Process ◽  
Difficult Problem ◽  
Analytic Hierarchy ◽  
Web Based ◽  
Test Sheet ◽  
E Learning ◽  
Hierarchy Process ◽  
Selection Of

The use of web-based education and e-learning environments has increased with the developments in educational technology. Schools, universities, public institutions, and other private sector companies started deploying these systems to train their students, members, and employees. Exams are carried out during the evaluation process of these trainings. Web-based tests are sometimes used for these exams. When there are so many questions about the same topic, it is a time-consuming and difficult problem to prepare these exams in terms of the best quality, quickly and effectively. In order to overcome this issue, artificial intelligence techniques are utilized as well as conventional methods for producing test papers. In this study, an Intelligent Question Evaluation and Selection Software (I-QUESS), that enables the selection of questions according to desired preferences by using Fuzzy Analytic Hierarchy Process (FAHP) and genetic algorithm (GA) as hybrid, was developed. This proposed hybrid system was used in a case study to create test sheet for web-based environments.

OpenColab Project: OpenSim in Google Colaboratory to Explore Biomechanics on the Web

2021 ◽  
Author(s):  
Hossein Mokhtarzadeh ◽  
Fangwei Jiang ◽  
Shengzhe Zhao ◽  
Fatemeh Malekipour
Keyword(s):  
Machine Learning ◽  
Inverse Problem ◽  
Smart Phone ◽  
The Internet ◽  
Biomechanical Modeling ◽  
Cloud Platform ◽  
Web Based ◽  
Wide Range ◽  
Almost All ◽  
The Web

We aim to demystify the development of neuro-biomechanical modeling in OpenSim with zero configuration, easy to share models while accessing to free GPUs on a web-based platform of Google Colaboratory. OpenSim is an open-source biomechanical package. OpenSim is used in a variety of applications and developed in C++; however, it is available for a wide range of users with bindings in MATLAB, Python, Jython and Java via OpenSim Application Programing Interface (API). OpenSim installation on a personal computer is well described by the developers but its implementation may still be time-consuming and challenging for the new users. Cloud-based computing is expanding in almost all engineering domains with zero configuration, though it is in its early stages within biomechanics community. In this study, we aim to access OpenSim functionality on the Google cloud platform. The methods can also be used in other cloud-based platforms. We installed OpenSim on the Google Colab via Anaconda cloud and named it OpenColab. To use OpenColab, one requires only a connection to the internet and a Gmail account. Moreover, such a platform enables the users to access vast libraries of machine learning available within free Google products e.g., TensorFlow. OpenColab takes advantage of zero configuration of cloud-based platforms even on a smart phone, provides access to free GPUs and enables users to share and reproduce modeling approaches for further validation. Finally, we performed inverse problem in biomechanics and compared OpenColab results with OpenSim GUI’s for validation. Step-by-step installation processes and examples can be found freely at: https://simtk.org/projects/opencolab.

Implementing an Integrated Pipeline Integrity Management System (PIMS): Case Study

2012 ◽  
Author(s):  
Steven Dresie
Keyword(s):  
Management System ◽  
Software Tools ◽  
Web Based ◽  
Management Software ◽  
Order Management ◽  
Management Procedures ◽  
Wide Range ◽  
Integrity Management ◽  
Ongoing Support

This case study will examine the implementation of an integrated suite of pipeline integrity management software tools and discuss related challenges during configuration and rollout phases. In this case, pipeline facility data was migrated from paper sources into a centralized database where it is regularly maintained and provides basis for related operations and integrity management components. Existing integrity management procedures and guidelines formed the core specifications for configuration of engineering assessment software tools. Using these documents the software suite now standardizes and automates the processing of ILI data, condition assessment, risk assessment and ECDA (NACE SP0502) management. The system produces a documented integrity plan customized to report specified key performance indicators and is integrated with the enterprise work order management system. The results of the engineering assessments and planning are maintained in the enterprise database and used to power web-based reporting available to a wide range of personnel inside the organization. Challenges include addressing gaps in data, bringing procedural documents and operating groups together, applying the system to existing operations, and ongoing support. This case study is intended for operators considering an integrated pipeline integrity management software solution or looking to improve the system currently in place inside their organization.

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