Modeling Quality Level of University Portal Data using Quality Function Deployment (QFD), Case Study: Amir Kabir University of Technology

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

ALIZADEH MAEDEH; MOTADEL MOHAMMAD REZA; NEZAFATI NAVID

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Scientific and Techniques of Information Management Year:2022 | Volume:7 | Issue:4 Page(s): 15-45

Download Full-Text

View:

Download:

Cites:

Information Journal Paper

Title

Modeling Quality Level of University Portal Data using Quality Function Deployment (QFD), Case Study: Amir Kabir University of Technology

Author(s)

ALIZADEH MAEDEH | MOTADEL MOHAMMAD REZA | NEZAFATI NAVID | Issue Writer Certificate

Keywords

Data Quality

Quality Function Deployment

University Portal

Analytical Hierarchy Process

Amir Kabir University

Abstract

Purpose: Data Quality plays a vital role in the performance and success of an organization and can be compared to oxygen for human beings. Therefore, maintaining Data Quality helps organizations in low operating costs and increment in revenue. If data has not been offered on time and adequate to each department’, s quality expectation, such organization may not be able to make successful decisions. First step of Data Quality enhancement is the acquaintance of Data Quality dimensions. Identifying and grouping various dimensions of Data Quality allow experts to use Data Quality enhancement tools and methods on information improvement processes. Methodology: The present study is applied in terms of purpose and analytical-survey research. In this paper, to enhance the level of Data Quality of University Portals, users' requirements (voices) of a University Portal have been prioritized using several Data Quality-related questionnaires by combining Kano & AHP techniques. A designed matrix of a 4-step QFD has been formed, which started with the users' requirements and ended with design methodologies. Findings: As a result of combining Kano & AHP techniques, basic requirements have higher priority than others. It has been defined in this paper that entering data in various formats is the most important users' requirement. Based on QFD analysis, XML & HTML are more proper and useful in comparison to other platforms and programming languages to improve the level of Data Quality and fulfill users' requirements. In addition, flexibility could be the most important Engineering Characteristics parameter in designing a portal. HVR software can perform a reliable and secure platform to prepare rapid and optimized data integration. Conclusion: The Quality Function Deployment method could be an appropriate solution to solve problems regarding Data Quality in the condition that it consists of programming to the designing process.

Cites

No record.

References

No record.

Cite

APA: Copy

ALIZADEH, MAEDEH, MOTADEL, MOHAMMAD REZA, & NEZAFATI, NAVID. (2022). Modeling Quality Level of University Portal Data using Quality Function Deployment (QFD), Case Study: Amir Kabir University of Technology. SCIENCES AND TECHNIQUES OF INFORMATION MANAGEMENT, 7(4 ), 15-45. SID. https://sid.ir/paper/1006315/en

Vancouver: Copy

ALIZADEH MAEDEH, MOTADEL MOHAMMAD REZA, NEZAFATI NAVID. Modeling Quality Level of University Portal Data using Quality Function Deployment (QFD), Case Study: Amir Kabir University of Technology. SCIENCES AND TECHNIQUES OF INFORMATION MANAGEMENT[Internet]. 2022;7(4 ):15-45. Available from: https://sid.ir/paper/1006315/en

IEEE: Copy

MAEDEH ALIZADEH, MOHAMMAD REZA MOTADEL, and NAVID NEZAFATI, “Modeling Quality Level of University Portal Data using Quality Function Deployment (QFD), Case Study: Amir Kabir University of Technology,” SCIENCES AND TECHNIQUES OF INFORMATION MANAGEMENT, vol. 7, no. 4 , pp. 15–45, 2022, [Online]. Available: https://sid.ir/paper/1006315/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops