Knowledge management system design method with joint application design (JAD) adoption

Abstract

Purpose This study proposes to adopt joint application design (JAD) in the requirement gathering process on developing a knowledge management system (KMS) using Fernandez methodology. It is proposed that Fernandez methodology produces only a list of KMS features and the requirement of the feature is still unclear. This study aims to produce KMS that meets the needs and expectations of users based on features of Fernandez's methodology. Design/methodology/approach This study was conducted using a combination methodology that combines Fernandez methodology to identify the feature needs of the organization and JAD to identify user requirements of KMS. The system prototype is evaluated by measuring user satisfaction using the Post Study System Usability Questionnaire. Findings The results of this study indicate that with the adoption of JAD it is possible to get the requirement in accordance with the expectations of the user. In addition, this study also shows that the level of user satisfaction with the prototype developed with the requirement is high at 84% of the maximum score. Research limitations/implications This study was used only in the education context, especially teaching assistant problems at the Faculty of Computer Science, University of Indonesia. For this reason, further research is needed for different contexts so that the implementation of this combination of methods can be generalized more broadly. Practical implications This paper provides practical implications for the development of KMS by identifying user requirements using JAD. Originality/value This paper provides a combination method to generate KMS that meets user requirements.

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“…Thus, it was understood that customers are attracted by the capabilities and robustness of a system. This is consistent with the literature, which indicates that when the quality of a particular technology system is improved, this has a major impact on customers’ intentions (Zhang et al , 2020; Sensuse et al , 2021; Anggreni et al , 2020).…”

“…stresses the importance of system quality as a vital predictor of intention to use a wide range of various technologies (Zhang et al, 2020;Sensuse et al, 2021;Anggreni et al, 2020;Albashrawi et al, 2020). This suggests that better system quality means more consumers are inclined to adopt a service.…”

Identifikasi Proses Knowledge Management Systems Pegawai

“…KM di dalam pemerintahan, merupakan usaha yang terstruktur dan sistematis dalam mengembangkan serta memanfaatkan pengetahuan yang dimiliki guna mendukung proses pengambilan keputusan [19] demi peningkatan kinerja organisasi (Kementerian Pendayagunaan Aparatur Negara dan Reformasi Birokrasi, 2011). Lebih lanjut menurut Fernandez (2010), solusi KM dapat dirancang dengan faktor kontingensi [4] [5] [6] [20]. Faktor Kontingensi berasal dari teori kontingensi yang menunjukkan bahwa tidak ada pendekatan terbaik dalam semua situasi.…”

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“…Several categories of contingency factors that influence the selection of the KM process are task characteristics, knowledge characteristics, organizational characteristics and environmental characteristics (Becerra-Fernandez and Sabherwal, 2015;Humani et al, 2020;Irawan and Samsuryadi, 2019). Based on these factors, the CFA stage is very appropriate to identify the priority needs of the organization (Becerra-Fernandez and Sabherwal, 2015;Sensuse et al, 2020). First, analyzing contingency factors.…”