Community’s knowledge need and knowledge sharing in Wikipedia

Pee, Loo Geok

doi:10.1108/jkm-09-2017-0412

Cited by 10 publications

(8 citation statements)

References 42 publications

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“…Moreover, due to the lower innovation-absorption capabilities and to the limited resources for in-house RandD, companies need to develop a broad network of partners which can give them scientific and technological inputs (Knudsen, 2007;Dezi et al, 2018). This is the reason why nowadays information and communication technologies allow a fast and worldwide data and information, and associate a pivotal role to knowledge sharing (KS) practices within a company (Lin, 2007;Sá enz et al, 2009;Pee, 2018). As Wehn and Montalvo (2018, p. 1) stated KS "is based on personal interactions and common actions to achieve specific goals and results.…”

Section: Introductionmentioning

confidence: 99%

A novel view on knowledge sharing in the agri-food sector

Fait

Scorrano

Mastroleo

et al. 2019

JKM

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Purpose Nowadays, the agri-food sector is facing several challenges due to a rapid technological change which calls for knowledge sharing (KS) practices to enhance businesses’ performance. This has spurred a collaborative approach and the creation of networks. Since there still is a paucity of research on the quality degree of KS, the purpose of this study is to offer an empirical research on the quality degree of KS by exploring outcome expectations and social exchange dimensions. Theoretically, it is examined by a double lens of social capital and social cognitive theory. Design/methodology/approach This study offers an empirical analysis of 313 directors of 11 “consortia” in the agri-food sector in Italy by using the fuzzy expert system. The model allows to aggregate multi criteria dimensions of KS and rates its quality. Findings As resulted, the quality degree of KS is influenced by outcome expectations – personal and community expectations – and three forms of dimensions of social exchange: structural, relational and cognitive. The paper ends with a discussion of research findings, its limitations and implications. Originality/value As there is still a paucity of research on the determinants of quality degree of KS, the research adopts a double lens of social capital and social cognitive theories to explore what are these determinants.

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Section: Introductionmentioning

confidence: 99%

A novel view on knowledge sharing in the agri-food sector

Fait

Scorrano

Mastroleo

et al. 2019

JKM

View full text Add to dashboard Cite

show abstract

“… This study applies ABMS approach to explore the correlation between the reciprocal trust of members and the efficiency of knowledge transfer under different organizational structure Specifically, the method consists of four steps: set up agents that reflect members within an organization who seek or provide the knowledge with their partners (learning partner); model the network where agents interact under behavioral rules; construct ABMS for knowledge transfer procedure; and explore the influence of reciprocal trust and organizational structure on knowledge transfer. The majority of prior studies has measured altruism in terms of intrinsic motivation or personal belief and has focused on the utility of sharing knowledge (Pee, 2018). Within economics, the concept of utility is created by achieving self-fulfilling objectives when determining behavioral options and has been shown to be relevant for understanding altruism theory.…”

Section: Simulation Modelmentioning

confidence: 99%

An agent-based model for exploring the impacts of reciprocal trust on knowledge transfer within an organization

Hong

Wang

2021

JBIM

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Purpose The effective transfer of knowledge within an organization is critical for its sustainable competitive advantage. Based on the norm of reciprocity, it can be concluded that individuals’ primary motivation to transfer their treasured knowledge can be summarized as “trust,” that is, the individuals trust their selfless transfer behavior can be reciprocated by the recipients in the future. Design/methodology/approach In this study, a simulation model based on knowledge transfer behavior and reciprocal trust between individuals is built through agent-based modeling and simulation to investigate the factors that influence the efficiency of knowledge transfer within an organization. Findings Experiments are performed to test the impact of reciprocal trust and organizational structure on the efficiency of knowledge transfer. Originality/value The results indicate a significant role of key elements of reciprocal trust and organizational structure, which provides relevant practical guidance for both individuals and organization managers in the context of knowledge transfer.

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“…Due to the lack of a centralized task allocation mechanism, participants independently decide contribution behavior. The degree of participant contribution is determined by many factors (Pee, 2018;Wang et al, 2019;Zhang and Zhu, 2011). This leads to inconsistency in participant contribution, with a few core members making the majority of the contribution and most participants only contributing occasionally (Ortega et al, 2008;Yun et al, 2019).…”

Section: Form Of Organizing In Online Communitiesmentioning

confidence: 99%

Wisdom of crowds: the effect of participant composition and contribution behavior on Wikipedia article quality

Lin

Wang

2020

JKM

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Purpose This paper aims to explore the effect of participant composition and contribution behavior of the different types of participants on the quality of knowledge generation in online communities. Design/methodology/approach This study samples all the featured articles in Chinese Wikipedia and performs a Cox regression to reveal how participant composition and contribution behavior affect the quality of articles in different contexts. Findings The results show that an increase in the number of participants increases the possibility of either enhancing or reducing the article quality. In most cases, the greater the proportion of core members (people who frequently participate in editing), the higher the possibility of enhancing the article quality. Occasional participants’ editorial behavior hinders quality promotion, this negative effect weakens when such editorial behavior becomes more frequent. Practical implications The findings help to better leverage the role of online communities in practice and to achieve knowledge collaboration in a more efficient manner. For example, an appropriate centralized organizational form should be established in online communities to improve the efficiency of crowd contributions. And it is worth developing mechanism to encourage participants to frequently participate in editing the article. Originality/value This study contributes to the research on the organizational forms of online communities by showing the effect of participant composition and behavior in the new form of organizing on knowledge generation. This study also contributes to the research on wisdom of crowds by revealing who in a group of participants, in what context, and by what means influence knowledge generation.

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Community’s knowledge need and knowledge sharing in Wikipedia

Cited by 10 publications

References 42 publications

A novel view on knowledge sharing in the agri-food sector

A novel view on knowledge sharing in the agri-food sector

An agent-based model for exploring the impacts of reciprocal trust on knowledge transfer within an organization

Wisdom of crowds: the effect of participant composition and contribution behavior on Wikipedia article quality

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