Jian Mou

Purpose: Online knowledge communities make great contributions to global knowledge sharing and innovation. Resource tagging approaches have been widely adopted in such communities to describe, annotate and organize knowledge resources mainly through users’ participation. However, it is unclear what causes the adoption of a particular resource tagging approach. The purpose of this paper is to identify factors that drive users to use a hybrid social tagging approach. Design/methodology/approach: Technology acceptance model and social cognitive theory are adopted to support an integrated model proposed in this paper. Zhihu, one of the most popular online knowledge communities in China, is taken as the survey context. A survey was conducted with a questionnaire and collected data were analyzed through structural equation model. Findings: A new hybrid social resource tagging approach was refined and described. The empirical results revealed that self-efficacy, perceived usefulness (PU) and perceived ease of use exert positive effect on users’ attitude. Moreover, social influence, PU and attitude impact significantly on users’ intention to use a hybrid social resource tagging approach. Originality/value: Theoretically, this study enriches the type of resource tagging approaches and recognizes factors influencing user adoption to use it. Regarding the practical parts, the results provide online information system providers and designers with referential strategies to improve the performance of the current tagging approaches and promote them.

Purpose: Browsing knowledge documents in a peer-to-peer (P2P) environment is difficult because knowledge documents in such an environment are large in quantity and distributed over different peers who organize the documents according to their own views. This paper aims to propose a method for constructing a personal knowledge map for a peer to facilitate knowledge browsing and alleviate information overload in P2P environments. Design/methodology/approach: The research presents a method for constructing a personal knowledge map. The method adopts an ontology-concept-tree-based classification algorithm to recognize a peer’s personal knowledge structure and construct a personal knowledge map, and uses a self-organizing map algorithm to cluster and visualize the knowledge documents. The correctness of the created knowledge map is evaluated with a collection of abstracts of academic papers. Findings: The method for constructing a personal knowledge map is the main finding of this research. The evaluation shows that the created knowledge map is good in quality. Research limitations/implications: The proposed method provides a way for P2P platforms to understand their users’ knowledge background, as well as to improve the P2P platform environment. However, the proposed method will not help a peer when he has nothing in his individual knowledge document repository (i.e. the “cold start” problem). The method also requires a relatively good ontology base for a P2P document sharing system to use the method effectively. Originality/value: It is novel that the proposed method organizes the knowledge documents related to a peer’s knowledge background into a personal knowledge map. Moreover, the created knowledge map combines the advantages of a hierarchical display and a map display. It has values for a distributed P2P environment to facilitate users’ knowledge browsing and to alleviate information overload.

Consumers are creatures of habit, often periodic, tied to work, shopping and other schedules. We analyzed one month of data from the world's largest bike-sharing company to elicit demand behavioral cycles, initially using models from animal tracking that showed large customers fit an Ornstein-Uhlenbeck model with demand peaks at periodicities of 7, 12, 24 hour and 7-days. Lorenz curves of bicycle demand showed that the majority of customer usage was infrequent, and demand cycles from time-series models would strongly overfit the data yielding unreliable models. Analysis of thresholded wavelets for the space-time tensor of bike-sharing contracts was able to compress the data into a 56-coefficient model with little loss of information, suggesting that bike-sharing demand behavior is exceptionally strong and regular. Improvements to predicted demand could be made by adjusting for 'noise' filtered by our model from air quality and weather information and demand from infrequent riders.

Background: As organisational culture plays an important role in forming a sustained competitive advantage, numerous studies about organisational culture have been completed. However, few studies have been conducted by analysing the references of publications with a visual pattern. Moreover, this subject has reached a certain degree of maturity; hence, a review that analyses the trends of organisational culture is urgent. Aim: The aim of this study was to provide broad information on organisational culture, including authors, journals, countries and references. In addition, the evolution of organisational culture is depicted and potential future research focuses are predicted. Setting: Using the Web of Science as a data source, we captured 1479 publications in science citation index (SCI) and social science citation index (SSCI) from 2005 to 2016 with 63 682 corresponding references for analysis. Methods: A bibliometric approach using CiteSpace software was applied to quantitatively and visually analyse organisational culture. Results: (1) The USA is the most productive country followed by the UK and then Australia in terms of publication; (2) scholars are mainly focused on ‘performance’, ‘innovation’ and ‘knowledge management’ aspects; (3) most fundamental theories and frameworks were created from the 1980s to the 1990s; (4) the Journal of Business Ethics is the most appropriate journal for contributions, whereas the Academy of Management Review is suitable for scholars to do a literature review, construct a theoretical framework and develop a research design; and (5) future research on this field has been justified accordingly. Conclusion: These findings not only provide basic background knowledge about organisational culture for new researchers but also provide a framework for visual and quantitative research to management scholars and fill the gap between organisational culture and bibliometric analysis.