A five-factor KMS success model: An empirical study

Conceptual model of knowledge management system for scholarly publication cycle in academic institution

Purpose

Study on knowledge-based systems for scientific publications is growing very broadly. However, most of these studies do not explicitly discuss the knowledge management (KM) component as knowledge management system (KMS) implementation. This background causes academic institutions to face challenges in developing KMS to support scholarly publication cycle (SPC). Therefore, this study aims to develop a new KMS conceptual model, Identify critical components and provide research gap opportunities for future KM studies on SPC.

Design/methodology/approach

This study used a systematic literature review (SLR) method with the procedure from Kitchenham et al. Then, the SLR results are compiled into a conceptual model design based on a framework on KM foundations and KM solutions. Finally, the model design was validated through interviews with related field experts.

Findings

The KMS for SPC focuses on the discovery, sharing and application of knowledge. The majority of KMS use recommendation systems technology with content-based filtering and collaborative filtering personalization approaches. The characteristics data used in KMS for SPC are structured and unstructured. Metadata and article abstracts are considered sufficiently representative of the entire article content to be used as a search tool and can provide recommendations. The KMS model for SPC has layers of KM infrastructure, processes, systems, strategies, outputs and outcomes.

Research limitations/implications

This study has limitations in discussing tacit knowledge. In contrast, tacit knowledge for SPC is essential for scientific publication performance. The tacit knowledge includes experience in searching, writing, submitting, publishing and disseminating scientific publications. Tacit knowledge plays a vital role in the development of knowledge sharing system (KSS) and KCS. Therefore, KSS and KCS for SPC are still very challenging to be researched in the future. KMS opportunities that might be developed further are lessons learned databases and interactive forums that capture tacit knowledge about SPC. Future work potential could identify other types of KMS in academia and focus more on SPC.

Originality/value

This study proposes a novel comprehensive KMS model to support scientific publication performance. This model has a critical path as a KMS implementation solution for SPC. This model proposes and recommends appropriate components for SPC requirements (KM processes, technology, methods/techniques and data). This study also proposes novel research gaps as KMS research opportunities for SPC in the future.

A Framework for Knowledge Management System Adoption in Small and Medium Enterprises

Knowledge is a key competitive advantage for small and medium enterprises (SMEs) as a way of competing with other organisations. There is a need to investigate SME adoption of knowledge management systems (KMSs). Knowledge management systems can only assist in this task if they are sufficiently adopted. The purpose of this research was to develop a conceptual framework for KMS adoption within an SME context. The research aimed to explore the interdependencies between various contextual KMS adoption factors, namely the technology, organization, environmental and human behavioural contexts. Four mini-focus groups were conducted and included employees in SMEs. Thematic analysis identified nine themes that describe the dynamics that either promote or prevent KMS adoption. The findings provide deeper insights into the influencing factors in KMS adoption to enhance SME performance and competitiveness. The KMS adoption framework can be applied to improve the adoption of technology in SMEs. Future research could include SMEs in specific industries to compare adoption factors and could also include larger organisations.

Knowledge management system implementation success: A social capital perspective

BACKGROUND: Organizations develop knowledge management (KM) strategies with the intention to leverage knowledge across all functional areas. A knowledge management system (KMS) is used to facilitate KM processes such as the creation, storage, and application of knowledge. However, mere adoption and deployment of KMS do not warrant its effective use to facilitate knowledge-sharing efforts. OBJECTIVE: This study investigates the facilitative role of social capital in the use of KMS by considering three social capital dimensions –cognitive (i.e., shared norms), relational (i.e., trust), and structural (i.e., social connectedness). METHODS: A case study strategy was used for this study. A mixed approach of qualitative and quantitative techniques was used to obtain relevant data for analysis. Instruments used to collect the data were semi-structured interviews and questionnaires. Documents regarding social policy, shared values, and shared goals were also obtained for triangulation purposes. A total of 15 respondents were interviewed while 73 respondents participated in the survey. A simple random sampling technique was used to select the participants and the survey data were analyzed using Pearson’s correlation, factor analysis, and multiple regression analysis. RESULTS: The study found that each of the three dimensions of social capital has a positive and significant relationship with the use of KMS. Specifically, shared norms (i.e., cognitive social capital), trust (i.e., relational social capital), and strong connectedness (i.e., structural social capital) were good predictors of employees’ use of KMS while user attitude and perceived usefulness mediate social capital dimensions in terms of KMS usage for knowledge exchange or transfer in the organization. CONCLUSIONS: The application of social capital theory to KMS context should be a very important consideration by both researchers and practitioners due to the socio-technical nature of KMS and the need to recognize social capital as a mechanism for inducement and opportunity to promote KMS usage for successful knowledge sharing.

Performance and planning model for HEIS: A developmental engine for intellectual capital

BACKGROUND: HEIs implement different techniques for the problem of assessing the progress towards the notified goals or the achievements, which is the only way to ensure that the HEIs are functioning properly along the right way or not. OBJECTIVE: The aim of this paper is to propose a model for assessing the performance, which may be of interest to institutions, partners, society and students. METHODS: In this paper, the technique of performance-related goals of HEIs, and a statistical approach are proposed. The methodology of this paper will manage briefly the issues of the applicability of the technique, how to derive the “goals” for HEI’s, taking into consideration the indicators of the Intellectual Capital (Human, Organizational, and Relational), and how to collect the data from HEIs successfully. The processes of assuring the technique of performance-related goals, deriving and implementing the goals, and the acquisition and testing of data are developed. RESULTS: The findings of this paper are in two directions, i.e. in the proposing of a performance model for HEIs which is based on the goals of HEIs; and in the application side, i.e. in the practical results of the evaluation of HEIs and how to clarify the performance of institutions and how to compare between them. The findings show that the practical results are significant, and reliable. CONCLUSIONS: This paper develops a significance model for performance appraisal of HEIs, how we can compare between the performance of HEIs, and to rank their performance. The practical results of the model are both accurate and significant.