A Conceptual Model for Effectiveness of Knowledge Management Systems

Abstract

Knowledge Management System (KMS) is a collective process of organizational knowledge from capturing to dissemination. The three fourth of world’s corporate market value resides today in assets such as intellectual property, customer data, financial records, strategies and trade secrets. These assets are all knowledge based. KMS becomes inexorable to achieve competitive advantages in this present information and communication technology epoch. However Lack of effectiveness in knowledge Management System is turmoil to any organization due to its integrated domain. But an effective KMS can helps to organization to achieve tremendous benefits such as competitive advantages, innovation, leadership, social values, increased customer satisfactions, quality in product, financial credibility and people values, So knowledge management system needs to consider significant views such as technical, functional, people and organization image for effectiveness. Almost all the research works related to quality model for KMS are limited in views. This paper proposes an effectiveness framework which includes significant quality dimensions and variables to measure each. This paper also includes empirical validation using data collected from three sectors: nuclear power production, Electrical equipment manufacturing and software industry for suitability analysis through statistical method. We considered primary variable from each identified dimension to analyze the suitability of KMS with 25 knowledge workers in each sector through five parameters: Completeness of product, Customization of process, Ontology standard, Applicability of KMS content, and Decision making ability.

Decision support system for fish quarantine measures in Indonesia

“…Identification of KM processes and KMS requirements for QMFFP contingency factor table (Becerra-Fernandez, Irma;Sabherwal, 2015) Developing classification models for QMFFP decisions CRISP-DM (Huber, Wiemer, Schneider, & Ihlenfeldt, 2019), C5.0 algorithm (Kuhn & Johnson, 2013), CTree algorithm (Hothorn, Hornik, & Zeileis, 2015) Developing of DSS KMSDLC (Rahman & Selwyn, 2020), knowledge and Business Strategy (Tiwana, 2000) Fish quarantine measures in Indonesia…”

“…Based on Rahman and Selwyn (2020), this life cycle (Elias M. Awad and Hassan Ghaziri Life cycle) was introduced in 2006, with significant phases of KMS development. The stages concerned with this life cycle can directly associate with dimensions in quality model.…”

Pembangunan Knowledge Management System Mahasiswa Politeknik Statistika STIS

“…Sistem manajemen pengetahuan atau biasa disebut Knowledge Management System (KMS) menjadi solusi bagi suatu organisasi dalam mengumpulkan dan menyatukan pengetahuan yang berbeda dari berbagai individu pada suatu organisasi (Chou Yeh, 2011;Nuryasin et al, 2013;Rahman & Selwyn, 2020). KMS adalah sistem untuk memproses pengumpulan pengetahuan, mulai dari identifikasi sampai diseminasi pengetahuan (Awad & Ghaziri, 2004).…”

“…KMS adalah sistem untuk memproses pengumpulan pengetahuan, mulai dari identifikasi sampai diseminasi pengetahuan (Awad & Ghaziri, 2004). Penggunaan KMS yang tepat dapat meningkatkan nilai-nilai pada suatu organisasi dengan cara menyediakan struktur pengetahuan organisasi menjadi homogen dari berbagai pengetahuan heterogen individu-individu di dalamnya (Rahman & Selwyn, 2020).…”