Identifying who is who in Brokpa

The grammatical features of a language reflect the attitudes and societal practices, both past and present, of its speakers. This chapter examines some select linguistic categories in order to understand how the Brokpa language and its society are closely correlated. The linguistic categories include the comparative construction, honorific systems and social deixis, and topographic deixis. Brokpa has a well-developed honorific systems. For example, the verbs of speaking and giving have three different forms for the same meaning, two honorific and one ordinary. One honorific form is to describe the action of speaking/giving from a higher to a lower (downward) speech-act-participant, the other honorific form from a lower to a higher level (upward), and the ordinary form to be used with the equals (horizontal). Most nouns and verbs have at least two forms, honorific and ordinary. These kinds of bipartite and tripartite systems are for the purposes of according deference to people who are 'elders' not only in terms of age, but also in terms of responsibility, experience, knowledge, contribution, and suchlike, in the society. Topographic deixis and demonstratives make a two-way or a three-way distinction which have striking parallels with the social deixis.

Castells’s “Network Society Theory” to Human Geography —Analysis and Comparison Based on Chinese and Foreign Quotations

Based on 898 English documents and 363 Chinese documents citing the Rising of Network Society, it studied that the knowledge contribution of citation content analysis and citation context analysis methods, and the knowledge contribution of Chinese and foreign quotations to human geography. The study found that “mobile space” is the most quoted theoretical view in domestic and foreign literature, and the proportion of domestic research is significantly higher than foreign research; the focus of domestic and foreign research focuses on the external spatial form and its transformation, while foreign research pays more attention on the internal spatial dynamics of network society and three types of knowledge contributions, reflecting the influence of “network social theory” on human geography. Among them, critical references reveal the shortcomings of “network social theory” point out the abstraction of “spatial duality” the importance of local space, and the limitations of research data, methods, and time background, which provides new enlightenment for the future application and innovation of “network social theory” in the field of human geography.

Applying systematic bibliometric methods to track a journal’s impact and review its knowledge contribution

Purpose Advanced bibliometric methods have emerged as key tools in mapping the history and trends of a discipline. This paper aims to demonstrate on applying various bibliometric methods to track a journal’s impact and review its knowledge contribution. In doing so, the authors take the case of IIMB Management Review (IMR) journal focused on management discipline, in consideration of its 10 years of publication presence. Design/methodology/approach Using bibliometric and Scopus metric methods, the authors map and analyze the productivity of IMR Journal and map its knowledge contributions. Findings The authors identify the IMR journal’s impact, its growth, the most prolific authors/affiliations, key research hotspots, cross-country collaboration and emerging trends over the past decade. Originality/value A 10-year longitudinal review helps the target group identify the main themes. It also provides key empirical insights to the journal editorial board and library managers for future planning and growth of the journal.

Dynamic Robustness of Open-Source Project Knowledge Collaborative Network Based on Opinion Leader Identification

A large amount of semantic content is generated during designer collaboration in open-source projects (OSPs). Based on the characteristics of knowledge collaboration behavior in OSPs, we constructed a directed, weighted, semantic-based knowledge collaborative network. Four social network analysis indexes were created to identify the key opinion leader nodes in the network using the entropy weight and TOPSIS method. Further, three degradation modes were designed for (1) the collaborative behavior of opinion leaders, (2) main knowledge dissemination behavior, and (3) main knowledge contribution behavior. Regarding the degradation model of the collaborative behavior of opinion leaders, we considered the propagation characteristics of opinion leaders to other nodes, and we created a susceptible–infected–removed (SIR) propagation model of the influence of opinion leaders’ behaviors. Finally, based on empirical data from the Local Motors open-source vehicle design community, a dynamic robustness analysis experiment was carried out. The results showed that the robustness of our constructed network varied for different degradation modes: the degradation of the opinion leaders’ collaborative behavior had the lowest robustness; this was followed by the main knowledge dissemination behavior and the main knowledge contribution behavior; the degradation of random behavior had the highest robustness. Our method revealed the influence of the degradation of collaborative behavior of different types of nodes on the robustness of the network. This could be used to formulate the management strategy of the open-source design community, thus promoting the stable development of OSPs.

Older adults in virtual communities: understanding the antecedents of knowledge contribution and knowledge seeking through the lens of socioemotional selectivity and social cognitive theories

Purpose As older adults are increasingly active in virtual communities (VCs), these platforms for knowledge exchange present opportunities for companies to use elder human capital. The purpose of this study is to understand the antecedent factors that motivate older adults’ knowledge contribution and knowledge seeking (KS) behaviors in VCs. Design/methodology/approach Rooted in socio-emotional selectivity and social cognitive theories, this study included five key variables and developed models for older adults’ knowledge contributing (KC)/KS behaviors. This paper tested the hypotheses using data from a sample of 204 older adults in 3 VCs in China. Findings The results provide support for most of the hypotheses and show that while other members’ participation (MP) acts as a substitute for meaning in life and attitude toward aging, it acts as a complement for outcome expectations (OE) focused on others and OE focused on oneself in their impacts on KC/KS activities. Practical implications The study provides practical insights for developing elder human resources via VCs to avoid knowledge loss. Originality/value This study described older adults’ unique characteristics when modeling their information and communication technologies-related behaviors and built two models to explain their KC/KS behaviors. It confirmed that the same factor has different levels of impact on older adults’ KC/KS behaviors in VCs. In addition, it confirmed and reinforced the complementary and substitutive effects of other MP as an environmental factor on these behaviors.

DIMENSIONS OF KNOWLEDGE IN PROTOTYPING: A REVIEW AND CHARACTERISATION OF PROTOTYPING METHODS AND THEIR CONTRIBUTIONS TO DESIGN KNOWLEDGE

Whilst prior works have characterised the affordances of prototyping methods in terms of generating knowledge about a product or process, the types, or ‘dimensions’ of knowledge towards which they contribute are not fully understood. In this paper we adapt the concept of ‘design domains’ as a method to interpret, and better understand the contributions of different prototyping methods to design knowledge in new product development. We first synthesise a set of ten dimensions for design knowledge from a review of literature in design-related fields. A study was then conducted in which participants from engineering backgrounds completed a Likert-type questionnaire to quantify the perceived contributions to design knowledge of 90 common prototyping methods against each dimension. We statistically analyse results to identify patterns in the knowledge contribution of different methods. Results reveal that methods exhibit significantly different contribution profiles, suggesting different methods to be suited to different knowledge. Thus, this paper indicates potential for new methods, methodology and processes to leverage such characterisations for better selection and sequencing of methods in the prototyping process.

The spillover effects of different monetary incentive levels on health experts' free knowledge contribution behavior

PurposeUnderstanding health experts' online free knowledge contribution behavior is vital for promoting health knowledge and improving health literacy. This study focuses on the spillover effects of different monetary incentive levels on health experts' free knowledge contribution behavior.Design/methodology/approachIn 2016, Zhihu Live and Zhi Hu were launched as two types of paid knowledge products on Zhihu.com, a hybrid knowledge exchange platform. Focusing on the policy impact of launching Zhihu Live and Zhi Hu, this study uses the difference-in-differences model to analyze the heterogeneous spillover effects of high-yield and low-yield monetary incentives on health experts' free knowledge contribution behavior.FindingsIn the short term, the high-yield monetary incentive has positive spillover effects on the quantity and quality of free knowledge contribution while the low-yield monetary incentive generates opposite effects. In the long term, the effects of the high-yield monetary incentive remain significantly positive. The effect of the low-yield monetary incentive on the quantity of free knowledge contribution remains significantly negative, but its effect on the quality of free knowledge contribution is not significant.Originality/valueThis study combines theories of reciprocity and resource limitation to study the spillover effects of different monetary incentive levels on health experts' online behavior. The short-term and long-term effects of different monetary incentive levels on health experts' online behavior are also explored.

Gamification effects on users' motivation to contribute knowledge in a Portuguese Q&A community

PurposeThis research investigates the detailed mechanisms of how gamification affordances influence intrinsic and internalized extrinsic motivation and ultimately improve the quality and quantity of knowledge contribution.Design/methodology/approachSurvey responses from 154 users of Stack Overflow in Portuguese were analyzed by the partial least squares–structural equation modeling approach to validate the research model.FindingsChallenge and goal setting influence individuals to reach the flow state, which increases the quantity of knowledge contribution. Rewards enhance the quality of knowledge contribution through perceived self-worth. Social comparison increases perceived reputation, but its impact does not ultimately lead to knowledge contribution.Originality/valueThe current study differentiated types of motivation and dimensions of knowledge contribution when exploring the effects of gamification affordances. This perspective was proven helpful to understand the various gamification affordances' influence on knowledge contribution.