Factors affecting the performance of knowledge collaboration in virtual team based on capital appreciation

Gao, Shuli; Guo, Yanli; Chen, Jianbin; Li, Lin

doi:10.1007/s10799-015-0248-y

Cited by 39 publications

(24 citation statements)

References 19 publications

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“…Research has argued that teams perform poorly in decision-making tasks because they neglect to discuss important or unique information during the exchange and prefer the information that is already available to the members. [21]. Information exchange is necessary for VTs to be able to solve complex problems and make decisions [43].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Proper information sharing faces multiple obstacles, including a lack of team identity and trust between team members. Information sharing between team members will result in effective decision making because proper information sharing will help the group in the following ways: understanding the problematic situation, helping team members to establish the decision criteria, and evaluating pros and cons of the prospective decision [21].…”

Section: Literature Reviewmentioning

confidence: 99%

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Factors Affecting Decision-Making Processes in Virtual Teams in the UAE

Davidavičienė

Majzoub

Meidutė‐Kavaliauskienė

2020

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Organizational reliance on virtual teams (VTs) is increasing tremendously due to the significant benefits they offer, such as efficiently reaching objectives and increasing organizational performance. However, VTs face a lot of challenges that, if overlooked, will prevent them from yielding the required benefits. One of the major issues that hinders the effectiveness of VTs is the decision-making process. There is a lack of scientific research that attempts to understand the factors affecting decision making processes in VTs. Studies in this area have only been done in the United States and Europe. However, such research has not been conducted in the Middle East, where specific scientific solutions are still required to improve the performance of VTs. Therefore, this study is conducted in the Middle East, namely in the United Arab Emirates, to gain scientific knowledge on this region’s specificity. An online questionnaire (Google forms) was used to obtain the necessary data. Hypotheses were developed to test the influence of ICT (Information and communications technologies), language, information sharing, and trust on the decision-making processes, and the effect of decision making on team performance. Structural equational model (SEM) methodology was used to test our proposed model. The results showed that factors such as trust, ICT, and information sharing have a direct effect on decision-making processes, while language has no effect on decision making, and decision-making processes have a direct effect on the performance of the VTs.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Factors Affecting Decision-Making Processes in Virtual Teams in the UAE

Davidavičienė

Majzoub

Meidutė‐Kavaliauskienė

2020

Information

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“…Social networking involves webbased software that enables people to interact and collaborate virtually 14 . Many online communities use tools such as blogs, wikis, forums, and e-mail to share or increase their knowledge by posting questions, discussion some issues based on the same interests, and collaboratively providing answers [15][16][17] . Not only do communities use online tools to share knowledge, but organisations also try to increase the knowledge of their employees by using mechanisms or technology that can support the KS process.…”

Section: Background 21 Ks Systemsmentioning

confidence: 99%

“…Another KS mechanism that is widely used to capture tacit knowledge is the Community of Practice (CoP) [12][13]21,29 . Self-efficacy and performance expectation belief play an essential role in the KS participation of online CoPs 17,21 . In the…”

Section: Ks Mechanisms and Technologymentioning

confidence: 99%

Exploring Factors Influencing Knowledge Sharing Mechanisms and Technology to Support the Collaboration Ecosystem A Review

Sensuse

Lestari

Hakim

2021

DESIDOC Jl. Lib. Info. Technol.

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Knowledge sharing (KS) plays an essential role in enhancing performance and innovation within organisations, and many organisations implement various mechanisms and technology to support successful KS. It is therefore crucial for organisations to understand what factors might have an impact on the application of knowledge sharing for collaboration within their organisations. This study conducted a systematic literature review to investigate what mechanisms or technologies organisations use to share knowledge and what factors influence that usage. This systematic literature review used the Kitchenham method, selecting 19 articles as eligible for this study from a total of 853. The articles chosen were published between 2015 and 2020 and were retrieved from five popular databases: Science Direct, Scopus, IEEE, ACM Digital library, and Springer. The results of the conducted review found that trust, appreciation, management support, and organisational goals were factors that facilitated collaboration in KS. Among the mechanisms identified were the use of face-to-face meetings, employment of a chief knowledge officer, the implementation of technology to support KS, and collaboration on a webblog.

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“…2). Owing to the established cooperation among the subjects of IUR in a virtual organization [39] during the specific implementation stage, differences in objectives and concepts will be inevitable. In addition, the research fields between IUR are different, and their knowledge levels are different from one other.…”

Section: Formation Process Of Knowledge Stickinessmentioning

confidence: 99%

Formation Mechanism of Knowledge Stickiness in the Collaborative Innovation of Industry-University-Research

Feng

Liu

2020

Teh. vjesn.

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In the context of deepening the cooperation of Industry-University-Research (IUR), enterprises must gain competitive advantage by transferring external knowledge to the enterprise for knowledge appreciation. Based on the knowledge stickiness encountered in the process of knowledge transfer in the collaborative innovation of IUR, the formation process and causes of knowledge stickiness are analyzed. In this study, the knowledge flow model based on heat conduction theory was proposed. The dynamic simulation was carried out using MATLAB software. Results show that the process of knowledge transfer between IUR is the process of continuously realizing knowledge increment and knowledge creation, and knowledge stickiness has a direct impact on the efficiency of knowledge transfer. Strengthening the cognition between IUR, increasing the number of activities between IUR, and creating a collaborative innovation atmosphere between IUR will reduce knowledge stickiness and improve the efficiency of knowledge transfer.

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Factors affecting the performance of knowledge collaboration in virtual team based on capital appreciation

Cited by 39 publications

References 19 publications

Factors Affecting Decision-Making Processes in Virtual Teams in the UAE

Factors Affecting Decision-Making Processes in Virtual Teams in the UAE

Exploring Factors Influencing Knowledge Sharing Mechanisms and Technology to Support the Collaboration Ecosystem A Review

Formation Mechanism of Knowledge Stickiness in the Collaborative Innovation of Industry-University-Research

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