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This paper examines how soft skills training for owner-managers affects the financial performance of exporting small and medium-sized enterprises (SMEs). Furthermore, the authors examine the differential influence of specific owner-manager skills, such as “team working skills”, “technical skills” and “leadership skills”, on performance.

The paper utilises the Longitudinal Small Business Survey, which is a nationally representative employer dataset of UK SMEs with up to 249 employees, including those with no employees. The dataset contains information on firms' turnover, export status of goods or services and training provision for employees or owner-managers.

The results suggest that owner-manager's training has a positive effect on turnover in non-exporting firms. Moreover, a combination of soft and hard skills is associated with higher turnover in exporting firms. Amongst the specific skills of owner-managers, training on “team working” has the most significant impact on exporting SMEs' performance.

The authors' findings imply that managerial training to develop soft skills such as leadership, decision-making and communication is a worthwhile investment. The knowledge that owner-managers acquire through soft and hard skills training enables them to develop essential internationalisation competencies. Moreover, the authors demonstrate that teamwork is a significant predictor of performance.

The authors contribute to the literature by examining the role of owner-managers' training in shaping internal systems, structure, processes and internationalisation strategies, thus affecting SMEs performance. The authors' also provide a nuanced analysis of how various types of soft and hard skills underpin the successful implementation of internationalisation initiatives.

Online question-and-answer (Q&A) communities serve as important channels for knowledge diffusion. The purpose of this study is to investigate the dynamic development process of online knowledge systems and explore the final or progressive state of system development. By measuring the nonlinear characteristics of knowledge systems from the perspective of complexity science, the authors aim to enrich the perspective and method of the research on the dynamics of knowledge systems, and to deeply understand the behavior rules of knowledge systems.

The authors collected data from the programming-related Q&A site Stack Overflow for a ten-year period (2008–2017) and included 48,373 tags in the analyses. The number of tags is taken as the time series, the correlation dimension and the maximum Lyapunov index are used to examine the chaos of the system and the Volterra series multistep forecast method is used to predict the system state.

There are strange attractors in the system, the whole system is complex but bounded and its evolution is bound to approach a relatively stable range. Empirical analyses indicate that chaos exists in the process of knowledge sharing in this social labeling system, and the period of change over time is about one week.

This study contributes to revealing the evolutionary cycle of knowledge stock in online knowledge systems and further indicates how this dynamic evolution can help in the setting of platform mechanics and resource inputs.

Building information modelling (BIM), lean construction (LC) and prefabricated housing construction (PHC) have individually aroused great attention from academia and industry. However, the integration of LC and BIM in PHC projects has not been sufficiently explored. This study aims to assess the current status of the implementation of BIM and LC in China’s PHC sector given, firstly, that China is a developing country characterised by the world’s largest population and a huge housing market, and secondly, that although China’s PHC is strongly supported by the government, the adoption of BIM and LC in PHC varies.

A mixed approach (questionnaire survey and interviews) is adopted in this study. A total of 127 valid questionnaires were collected. This is followed by interviewing 12 interviewees who are key stakeholders in PHC and hold managerial positions.

The findings of the questionnaire survey show that BIM is more prevalent than LC in PHC projects in China. In addition, the adoption of LC exhibits more maturity in stages associated with production and manufacturing, and logistics and transportation, whereas BIM has seen wider adoption in design and construction. The interviews validated the factors that influence the implementation of BIM and LC in PHC projects in China.

The study uses a strengths, weaknesses, opportunities and threats analysis framework to clarify the opportunities, threats, strengths and weaknesses of BIM and LC in China’s PHC and proposes strategies.