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Individual Privacy Should Be an Institutional Value: Socio-Technical Design of University Data Collection Systems

Individual Privacy Should Be an Institutional Value: Socio-Technical Design of University Data Collection Systems

Üzeyir Fidan, Nurettin Altay Boza
Copyright: © 2024 |Pages: 19
ISBN13: 9798369312100|ISBN13 Softcover: 9798369345634|EISBN13: 9798369312117
DOI: 10.4018/979-8-3693-1210-0.ch014
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MLA

Fidan, Üzeyir, and Nurettin Altay Boza. "Individual Privacy Should Be an Institutional Value: Socio-Technical Design of University Data Collection Systems." Data-Driven Business Intelligence Systems for Socio-Technical Organizations, edited by Pantea Keikhosrokiani, IGI Global, 2024, pp. 366-384. https://doi.org/10.4018/979-8-3693-1210-0.ch014

APA

Fidan, Ü. & Boza, N. A. (2024). Individual Privacy Should Be an Institutional Value: Socio-Technical Design of University Data Collection Systems. In P. Keikhosrokiani (Ed.), Data-Driven Business Intelligence Systems for Socio-Technical Organizations (pp. 366-384). IGI Global. https://doi.org/10.4018/979-8-3693-1210-0.ch014

Chicago

Fidan, Üzeyir, and Nurettin Altay Boza. "Individual Privacy Should Be an Institutional Value: Socio-Technical Design of University Data Collection Systems." In Data-Driven Business Intelligence Systems for Socio-Technical Organizations, edited by Pantea Keikhosrokiani, 366-384. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-1210-0.ch014

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Abstract

The objective of this chapter is to create a comprehensive socio-technical system that facilitates data collecting, processing, and reporting procedures within a university. Socio-technical system design is an interdisciplinary method that integrates social and technical elements. Consequently, the system was modeled concurrently, encompassing both the users and stakeholders as well as the software and hardware components. Throughout the development process, a thorough analysis was conducted to understand the requirements and expectations of university personnel regarding the system. This was achieved through the use of qualitative and quantitative data-gathering approaches. Based on the collected findings, prototypes were produced, and input was sought once again. A system that prioritizes user needs and has a high level of reliability was designed in the last phase. The purpose of the system is to enhance the university's ability to make decisions and plan strategically based on data. Additionally, it is anticipated that the system will boost employee motivation and productivity.

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