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The purpose of this research is to explore how knowledge source and knowledge recipient influence knowledge transfer performance through political skill and partnership quality, and in so doing to make up for the lack of research on the political skills of knowledge sources in the process of knowledge transfer.

This research used paired-sample questionnaires to conduct a survey. One direct supervisor was paired with 1–4 subordinates; 224 other-reported questionnaires were sent out to supervisors and 896 self-reported questionnaires to subordinates. A total of 171 valid supervisor questionnaires and 511 valid subordinate questionnaires were collected. Hierarchical regression analysis was used to analyze the data.

This empirical research demonstrated that knowledge sources with political skills can promote partnership quality and influence the success of knowledge transfer.

This study was a cross-sectional design. Therefore, in our future research, self-report and non-self-report data will be collected in the process of questionnaire administration, and a multi-group questionnaire method (time/field isolation method) will be adopted to avoid having the same source of data. Supervisors and employees will be divided into different groups to collect sources, and the results from two different sources will be used to reduce the negative impact of common method variance.

External knowledge sources with political skills can impact recipient' knowledge transfer performance in the workplace, which means that external knowledge sources can provide the organization with innovative ideas and implementation skills.

The study presents a valid model that comprises the antecedents (characteristics of the source of knowledge), mediators (partnership quality), moderators (political skill) and consequences of knowledge transfer performance of firms.

This study aims to measure the productivity of 21 major shipyards in China, South Korea and Japan.

Data envelopment analysis was applied to measure the productivity of shipyards. The contemporaneous and intertemporal productivity scores of each shipyard were measured. Additionally, the technical gaps among shipyards in China, South Korea and Japan were measured and compared.

The results indicate that Japan led the global shipbuilding industry in 2014 and South Korea dominated in 2015. Additionally, from 2014 to 2015, shipyards in South Korea and Japan maintained their levels of productivity. Comparatively, major shipyards in China made substantial progress from 2014 to 2015, revealing their strong ambition to improve productivity.

This study first used a metafrontier framework to measure the technical gap of shipyards among major shipbuilding countries. The model and approach objectively analyze the productivity of major shipyards and considers their nationalities. Additionally, this study is the first to measure changes in the productivity of shipyards. By decomposing the metafrontier Malmquist productivity index, major shipyards were categorized into eight sets. The results of this study can provide a clear direction for shipyards to improve their productivity.

This study has two purposes. The first is to identify the determinants influencing the selection of a container number recognition system via a quantitative method to thereby establish an evaluation structure. The second purpose is to conduct an empirical study to determine the weights of the criteria and alternatives.

The exploratory factor analysis (EFA) and fuzzy analytic hierarchy process (AHP) were applied to determine the evaluation structure and weights of the criteria and alternatives, respectively.

An empirical study based on a dedicated terminal at Keelung Port is conducted. The result demonstrates that the radio-frequency identification (RFID) system is a suitable system for the terminal under consideration in this study.

The value of this study is twofold. First, EFA was applied to extract common factors from a wide questionnaire survey, thereby establishing a hierarchical analysis structure. This method and comprehensive evaluation structure are useful references for both practitioners and researchers to deal with problems of gate automation. Second, fuzzy AHP was used to decide the weights of the hierarchical structure. The weights obtained by this method are more objective and rational as the imprecision expressions in returned samples have been considered and dealt with.