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A Framework for Developing Cross-Sectional Surveys

Mehler, Maren F. ; Ellenrieder, Sara ; Turan Akdag, Merve ; Wagner, Amina ; Benbasat, Izak (2023)
A Framework for Developing Cross-Sectional Surveys.
International Conference on Information Systems (ICIS). Hyderabad, India (10.12.2023-13.12.2023)
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Although the use of cross-sectional surveys is widespread in Information systems (IS) research and related disciplines, few papers address the survey development process. In order to ensure a standardized approach, comparable and valid results, as well as to guide researchers in quantitative research methods, this paper presents a framework for the survey development process in IS. Based on a Design Science Research (DSR) methodology, the framework was derived from a structured literature review of leading IS journals and refined by three focus group discussions among IS experts. The framework includes several steps and considerations on the sample size, variable selection, their order in the survey, protection against bias, ensuring validity and reliability, and testing before administering the survey with a focus on documentation and reporting. Our framework supports quantitative research by providing a structured approach to create reliable and credible surveys.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2023
Autor(en): Mehler, Maren F. ; Ellenrieder, Sara ; Turan Akdag, Merve ; Wagner, Amina ; Benbasat, Izak
Art des Eintrags: Bibliographie
Titel: A Framework for Developing Cross-Sectional Surveys
Sprache: Englisch
Publikationsjahr: 2023
Ort: Hyderabad, India
Veranstaltungstitel: International Conference on Information Systems (ICIS)
Veranstaltungsort: Hyderabad, India
Veranstaltungsdatum: 10.12.2023-13.12.2023
URL / URN: https://aisel.aisnet.org/icis2023/generalis/generalis/6
Kurzbeschreibung (Abstract):

Although the use of cross-sectional surveys is widespread in Information systems (IS) research and related disciplines, few papers address the survey development process. In order to ensure a standardized approach, comparable and valid results, as well as to guide researchers in quantitative research methods, this paper presents a framework for the survey development process in IS. Based on a Design Science Research (DSR) methodology, the framework was derived from a structured literature review of leading IS journals and refined by three focus group discussions among IS experts. The framework includes several steps and considerations on the sample size, variable selection, their order in the survey, protection against bias, ensuring validity and reliability, and testing before administering the survey with a focus on documentation and reporting. Our framework supports quantitative research by providing a structured approach to create reliable and credible surveys.

Fachbereich(e)/-gebiet(e): 01 Fachbereich Rechts- und Wirtschaftswissenschaften
01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete
01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete > Wirtschaftsinformatik
01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete > Fachgebiet Software Business & Information Management
Hinterlegungsdatum: 10 Jan 2024 20:02
Letzte Änderung: 10 Jan 2024 20:02
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