A framework for quality dimensions of knowledge management systems

Owlia, Mohammad Saleh

doi:10.1080/14783363.2010.529351

Cited by 26 publications

(13 citation statements)

References 34 publications

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“…After reviewing a number of articles, Jackson, Helms and Ahmadi (2011:392) and Owlia (2010Owlia ( :1217 conclude that educational quality is multi-dimensional and is understood and defined differently by different people. Therefore, it is difficult to define this term using only one indicator or dimension.…”

Section: Conceptualisation Of Qualitymentioning

confidence: 99%

Educational Management

Tomlinson¹

2013

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I also wish to thank the Ethiopian Ministry of Education and Hawassa University for sponsoring my study at UNISA. iv ABSTRACTThe study identifies how different stakeholders perceive service quality improvement initiatives in public higher education institutions in Ethiopia. For this purpose, a mixed research methodology was employed. Furthermore, secondary data were collected from a variety of literature and primary data were collected from academic staff and final year students at public higher education institutions using the SERVQUAL scale and through focus group interviews. The collected data were analysed using both descriptive and inferential statistics.The research findings indicated that all dimensions of the service quality improvement initiatives were perceived by academic staff and studentsto be verypoor. The reasons for these poor or low perceptions were: the high expectationsof the stakeholders, the government's intention to expand, lack of adequate knowledge regarding the implementation of the BPR process, the lack of motivation by service providers, poor management and the lack of good governance by the universities, inexperienced workers, non-empowered and task specific frontline employees, the low quality of the infrastructure, non-value adding hierarchical structures and approval systems, ethical problems with some service providers, the high staff turnoverand the lack of experienced staff. In addition, at all new universities, construction is underway and as a result,there are problems such as the poor state of the dormitories, classes,bathrooms, recreation areas, lounges, TV rooms, sport fields and internet connectivity, while the libraries are not well stocked with books and periodicals either.This study has recommended that the institutions should have standardised instruments that can be used to measure the status of service quality improvement and deliveryperiodically and to identify the areas that have the highest perceived performance gap scores in order to redeploy some of the resources. It also needs to be pointed out that the service providers lack sufficient knowledge and skillsconcerning the implementation of BPR, thus training is recommended in this regard.It is further recommended that for effective implementation of the BPR process, the importance of the provision of different guiding documents, continuous monitoring of activities and top v management supportshould be kept in mind.

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Section: Conceptualisation Of Qualitymentioning

confidence: 99%

Educational Management

Tomlinson¹

2013

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“…Based on the quality aspects from mainly software engineering, IS, and data quality domain, a specific quality model has been constructed for knowledge management systems (Owlia, 2010). This work shows some valuable insights into how many quality aspects are available within existing literature with slightly different nomenclature and meanings.…”

Section: Information System Domainmentioning

confidence: 99%

“…(Sedera & Gable, 2004) Also quality attributes have been researched for specific purposes within the IS domain, like Knowledge Management (KM) (Owlia, 2010) and Service Oriented Architectures (SOA) (O'Brien et al, 2005), and even an instrument for measuring SOA maturity (Joachim et al, 2011). From the perspective of KM, a quality model has been set up with starting point the 8 quality dimensions from product engineering (Garvin, 1984).…”

Section: O2 the Is Quality And Success Domainmentioning

confidence: 99%

“…Other quality attributes related to different knowledge products and services have been incorporated (Table 70). Based on this extensive research eight quality dimensions have been selected for Knowledge Management Systems presented in Table 71, with the characteristics presented in Table 72 (Owlia, 2010). (Owlia, 2010) dimension definition functionality…”

Section: O2 the Is Quality And Success Domainmentioning

confidence: 99%

“…The degree to which acquiring knowledge in different situations/conditions is possible Security Confidentiality of information/knowledge shared when necessary (Owlia, 2010) In the area of conceptual modeling, based on the theory of reasoned action, properties have been identified that address the perceived semantic quality of a conceptual model (Poels et al, 2005):…”

Section: O2 the Is Quality And Success Domainmentioning

confidence: 99%

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Quality of semantic standards

Folmer¹

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Increasing the Impact of Wikis on Project Performance: Fine‐tuning Functional Quality and Knowledge Sharing

Nabelsi

Gagnon

Brochot

2017

Knowl Process Manag

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Project managers have been among the first to adopt wikis in the workplace. Their impact on project performance in general has been documented, but we believe that there is still much room for improvement. We addressed this issue by performing an in‐depth empirical study of wiki use in IT projects within a large public sector organization. We found that performance is significantly impacted by the quality of a wiki, but also tested other factors that may help fine‐tune a wiki's capabilities: the knowledge sharing context and the distinctive use of wikis to manage project documentations, while fully exploiting its functionality. Copyright © 2017 John Wiley & Sons, Ltd.

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A framework for quality dimensions of knowledge management systems

Cited by 26 publications

References 34 publications

Educational Management

Educational Management

Quality of semantic standards

Increasing the Impact of Wikis on Project Performance: Fine‐tuning Functional Quality and Knowledge Sharing

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