Knowledge management component in managing human resources for enterprises

Zhang, Li; Wang, Hong; Cao, Xiongfei; Wang, Xin; Zhao, Kun

doi:10.1007/s10799-012-0127-8

Cited by 42 publications

(18 citation statements)

References 68 publications

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“…Sung and Choi, ) and firm innovation performance (e.g. Alegre et al ., ), KBV considers knowledge as the most strategically important resource at a firm's disposal (Grant, , ; Zhang et al ., ). Knowledge acquisition and knowledge application are two forms of knowledge management, which contribute to improved performance in several business processes, including operational problem solving, functional integration and NPD (Ettlie and Pavlou, ; Palacios and Garrigós, ).…”

Section: Theoretical Background and Hypothesis Developmentmentioning

confidence: 99%

Knowledge Management, Learning Behavior from Failure and New Product Development in New Technology Ventures

Chen

Nguyen

2014

Syst. Res.

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This research examines how knowledge management influences new product development (NPD) in new technology ventures. Researchers demonstrate that knowledge management is a critical antecedent of NPD. However, few studies have explored the role of knowledge management in NPD from a behavioral perspective. By employing experiential learning theory, this research develops a conceptual model to study the relationships between knowledge management, learning behavior arising from failures, and new ventures' NPD performance. Using a sample of 176 new high-tech technology ventures, the theoretical model is examined. The findings show that, for new technology ventures, knowledge acquisition facilitates NPD performance positively and that the relationship is partially mediated by learning behavior from failures. In addition, it is demonstrated that knowledge application plays a moderating role between learning behavior from failure and NPD. Both the theoretical contributions and practical implications are discussed.

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Section: Theoretical Background and Hypothesis Developmentmentioning

confidence: 99%

Knowledge Management, Learning Behavior from Failure and New Product Development in New Technology Ventures

Chen

Nguyen

2014

Syst. Res.

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“…Significant work was re-initiated in the development of KM tools following Tiwana's work (Tiwana, 2002;Barth, 2003;Odom & Starns, 2003). The idea, to use KM in various business activities like HR, CRM, ERP, using KM portals, Customer KM, is still continuously growing (Osmarina & Coltre, 2017;Chaabouni & Yahia, 2014;Zhang, Wang, Cao, Wang, & Zhao, 2012;Al-Shammari, 2009;Fjermestad & Romano, 2006;Firestone, 2003;Zipperer, 2003;Callaghan, 2003).…”

Section: Km It and Businessmentioning

confidence: 99%

Evolution of Knowledge Management in Business

Ahmed¹

2017

EMR

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While investigating the growth of knowledge management in academic literature and in consultancy firms Wilson (2002) in his article "The nonsense of knowledge management", argues that the fields of information science and information systems, should clearly distinguish between the term "information" and "knowledge" in order to assure their respective importance within organizations.The purpose of this article is to analyze the evolution of the knowledge management as a field of study that clearly differentiates itself from the information system. It investigates the integration of technology in knowledge creation and identifies progress made in KM on the subject of business using information system with the successful utilization of tacit knowledge concepts.The study consists of a systemic review of articles on knowledge management from Web of Science and Esearch databases since 2003. The study used three search strings "knowledge management", "knowledge management" and "tacit", and "knowledge management" and "explicit". This study may not have covered all articles and reports in KM. Yet, based on the chosen research methodology, it seems reasonable to assume that the review process covered a large share of the studies available.The literature concerning the evolution of the Knowledge Management (KM) has highlighted that KM as a strategy and tool is now more in line with the basic definition of knowledge and wisdom. The advancement in Information Technology (IT), has supported knowledge capture process by utilizing the human dimension of KM that emphasize on knowledge context. The main contribution of this study is to confirm the close relationship of dependency of IT and KM.

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“…With knowledge and knowledge management, functional systems therefore become intelligent. Zhang et al [50] even discussed knowledge, knowledge model and management, HRM, HRM system design, decision support system (DSS) and used these address some HRM problems. Automatic control technology has been applied to many fields of industrial production, social life, and new technology [18].…”

Section: Literature Reviewmentioning

confidence: 99%

A method toward dynamic e-learning services modeling and the cooperative learning mechanism

Tan

Chen

et al. 2015

Inf Technol Manag

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The advanced information technologies have made it possible for individuals to carry out cooperative learning efficiently and effectively from anywhere and at any time. To capitalize on the individual need and address the issues associated with the late entry into the e-learning area, it has great significance to study the service mechanism of CSCL on e-learning service and e-learning service computing modeling. This paper proposes an e-learning service model supporting for the life-cycle process management. The proposed model is developed by considering the learner's behaviours during e-learning services, the scheduling policies, and the monitoring mechanism of learning activities. Business process modeling for e-learning services can be taken according to the study ordering of the knowledge points by using workflow modeling technology and process enactment mechanism. The overall life-cycle process management of knowledge is addressed by combining knowledge product modeling, knowledge resource modeling, and credit polices for member selection in research team by considering trust value of learners, advisers and providers in e-learning services. The proposed method can be used for supporting the sustainable development of e-learning services from planning and design, organizing e-learning process, maintenance of the e-learning process, to process improvement, as well as to support learners and advisers to effectively complete innovative team study and complex computation study. Lastly, an extended topic map tool has been developed by adding a knowledge requirement level and an information extraction tool to validate the proposed methodology. These tools can used to guide learners to concentrate on the required knowledge topics and drive knowledge providers to redevelop outdated knowledge hierarchy.

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Knowledge management component in managing human resources for enterprises

Cited by 42 publications

References 68 publications

Knowledge Management, Learning Behavior from Failure and New Product Development in New Technology Ventures

Knowledge Management, Learning Behavior from Failure and New Product Development in New Technology Ventures

Evolution of Knowledge Management in Business

A method toward dynamic e-learning services modeling and the cooperative learning mechanism

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