An Integrated Project Management System for Facilitating Knowledge Learning

Chen, Toly; Wang, Yu Cheng

doi:10.4018/jeis.2012040103

Cited by 9 publications

(5 citation statements)

References 21 publications

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“…Chi-square normalized by degrees of freedom should not exceed 5. The recommended thresholds of GFI and AGFI are 0.80 (Chen & Wang, 2012). And the NNFI and CFI with values greater than 0.85 are moderate fit indices.…”

Section: Measurement Model Testingmentioning

confidence: 99%

Identifying the Influential Factors of Knowledge Sharing in E-Learning 2.0 Systems

2016

International Journal of Enterprise Information Systems

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As the E-Learning 2.0 system is a tool to help members manage knowledge in an effective way, this study attempts to verify the constructs of knowledge creation self-efficacy, subjective norms, perceived usefulness, organizational climate, attitudes toward knowledge sharing and the intention to engage in knowledge sharing. A sample of 284 participants from companies in China that have already implemented E-Learning 2.0 systems participated in this study. Structural equation modeling is conducted to test the research hypotheses. Research results show that (1) Knowledge creation self-efficacy, perceived usefulness and organizational climates are found to have positive effects on the intentions toward knowledge sharing in E-Learning 2.0 systems; (2) Meanwhile, system success factors of communication quality and service quality are suggested to influence the perceived usefulness of E-Learning 2.0 systems; (3) As we expected, the intentions toward knowledge sharing in E-Learning 2.0 have positive effects on knowledge-sharing behavior. Therefore, by highlighting the role of the organizational climate, the findings of current research provide practical insights for understanding how organizations should reinforce fairness, innovativeness and affiliation to create a climate of reciprocity.

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Section: Measurement Model Testingmentioning

confidence: 99%

Identifying the Influential Factors of Knowledge Sharing in E-Learning 2.0 Systems

2016

International Journal of Enterprise Information Systems

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“…For future work we suggest the development of an additional module which allows the self-learning of risk profiles; in other words, the system should be able to suggest new risk profiles to the user based on information regarding the unknown risk profiles, which are constantly identified by the system. Approaches based on knowledge learning similar to those presented by Chen and Wang (2012) and by Sanin and Szczerbicki (2006) or data mining approaches may be possible ways to conceptualize this self-learning module.…”

Section: Discussionmentioning

confidence: 99%

Monitoring Organizational Transactions in Enterprise Information Systems with Continuous Assurance Requirements

Marques

Santos

2015

International Journal of Enterprise Information Systems

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This work focuses on issues typically encountered in organizations whose core business largely depends on ICT: continuous monitoring, continuous auditing, controlling and assessment of transactions risk. Organizations have been making efforts to implement methods and systems which enable them to increase reliability of their business and, simultaneously, to be in accordance with their organizational objectives and compliant with external regulations. Thus, this work presents and validates an innovative solution to implement Continuous Assurance services in information systems applicable to any organizational transaction, regardless of its type, dimension, business area or even its information system support technology. This last objective is pursued having as support an ontological model at an abstraction level that guarantees that independence. This research culminated with the development of a prototype and consequent results analysis, using data collected from the near-real implementation, allowing us to ensure the feasibility and the effective use of the proposal.

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“…These are in essence the known areas of data identified in Table 2 with the unknown needs requiring push dissemination. Figure 1 shows the need for Knowledge champions work to support technology enablement and the practice of KM in the firm whilst also championing the role of knowledge in lessons learnt (Zuber-Skerritt, 2001) learning from practice, feedback and improving performance (Chen, & Wang, 2012).. When applied in this setting the data flower includes aspects shown in Figure 1.…”

Section: It Is Essential To Recognize Knowledge and Discover Knowledg...mentioning

confidence: 99%

Aged Care Informatics

Hume

Soar

Whitty

et al. 2014

International Journal of Enterprise Information Systems

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Aged care is projected to be the fastest-growing sector within health and community care industries Strengthening the care-giving workforce, compliance, delivery and technology is not only vital to our social infrastructure and improving the quality of care, but also has the potential to drive long-term economic growth and contribute to the GDP. This paper examines the role of knowledge management (KM) in aged care organizations to assist in the delivery of aged care. With limited research related to KM in aged care, this paper advances knowledge and offers a unique view of KM from the perspective of 22 aged care stakeholders. Using in-depth interviewing, this paper explores the definition of knowledge in aged care facilities, the importance of knowledge planning, capture and diffusion for accreditation purposes and offers recommendations for the development of sustainable knowledge management practice and development. The paper culminates in an offering a checklist for aged care facilities and advances the discourse in this sector.

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An Integrated Project Management System for Facilitating Knowledge Learning

Cited by 9 publications

References 21 publications

Identifying the Influential Factors of Knowledge Sharing in E-Learning 2.0 Systems

Identifying the Influential Factors of Knowledge Sharing in E-Learning 2.0 Systems

Monitoring Organizational Transactions in Enterprise Information Systems with Continuous Assurance Requirements

Aged Care Informatics

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