Determinant Factors Affecting the Information System Success of Community-Based Application to Fight Covid-19 Pandemic

Purwanto, Adnan; Asih, Dybio Dompu Hot; Nurjabar, Ilham; Cahyani, Trisiwi Indra; Hidayat, Deni; Manik, Lindung Parningotan

doi:10.1145/3489088.3489120

Cited by 1 publication

(1 citation statement)

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“…Moreover, the study demonstrated that risk belief mediated the relationship between privacy concerns and user satisfaction. Another use of the DeLone and McLean model can be seen in Purwanto et al (2021), who explored the success factors of an information system. According to their findings, the quality of the system had a positive impact on its use and user satisfaction, while the quality of service had a positive influence on the use of the system but not on user satisfaction.…”

Section: Quality Factorsmentioning

confidence: 99%

Thematic Analysis of User Experience of Contact Tracing Applications for COVID-19 Using Twitter Data

Alterkait,

Almutarie,

Alduaij

2024

Journal of Cases on Information Technology

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This paper aims to explore Kuwaiti users' perspectives and experiences with Shlonik, the mandatory contact tracing application that was used during the COVID-19 pandemic. A sample of 2,450 tweets about users' experiences was collected and thematically analyzed. The analysis used DeLone and McLean's information system success model to explore aspects of the degree to which this app can be judged a “success,” using parameters of system quality and service quality. A novel finding identified by this qualitative study was the significance of themes identified in the analysis such as social privacy (timing, privacy, and female privacy, which are related to the cultural and religious norms of Kuwait) and technical privacy (related to data protection). The research identified significant conflict with cultural and social norms in users' experience of the Shlonik app – factors not normally identified or discussed in existing literature. This research supports a need for improved strategies and designs in future m-government applications in developing countries.

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Section: Quality Factorsmentioning

confidence: 99%