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This paper describes the design and development of a re‐configurable dual‐robot assembly system using off‐the‐shelf re‐configurable pneumatic modules, Hall‐effect sensors, a vision system, and a programmable logic controller (PLC). Each robot arm consists of three sets of pneumatic modules and a pneumatic gripper. Each module consists of a pneumatic housing, an air cylinder, and a Hall‐effect sensor, and provides one degree of freedom. Solenoids are used to redirect airflow and thereby extend and/or retract the air cylinder. A vision system is used for fixture inspection. A conveyor and part stopper are designed to transfer and stop pallets. All these modules, the gripper, the part stopper, and the vision system are controlled and synchronized using a PLC. At the end of this paper, a framework for making the system over the Web for remote operation and diagnosis is proposed and described.

The present paper seeks to analyze the role of social networks in the process of career exploration, including its main effect on search intensity, and moderation effect on the linkage between search intensity and job search confidence.

It is a longitudinal design with 239 USA and 165 Chinese graduating students.

Social networks in job search have greater effects on job search intensity in the USA sample. Moderation effects could be detected in the Chinese sample, and guanxi search (a Chinese reference to social networks) minimizes job search confidence and job satisfaction.

Social networks, particularly guanxi search in China, could reflect interdependency in job search process, and might constrain job choice.

The paper examined the cultural differences of guanxi search construct, and compared the role of social networks (guanxi search) in cross‐cultural settings.

The Open API (application programming interface) architecture will play an important role in promoting future FinTech service applications; however, it involves user data, and the current specialization and progression are less visible. Therefore, an evaluation framework for Open API development in the FinTech service ecosystem is constructed in this study.

This study preliminarily selects the four most important key objects and factors of this ecosystem and conducts expert interviews to revise the evaluation framework. Then, this study uses the fuzzy analytic hierarchy process (FAHP) to evaluate the objects and their factor weights and finally uses the FAHP analysis results to further apply the evaluation based on distance from average solution (EDAS) approach to explore the strategy optimization scenarios.

According to the analysis results, the co-creation object and productivity object are the two most significant objects, with weights of 0.275 and 0.272, respectively. The analysis shows that FinTech-related companies expect to increase productivity through co-creation. Finally, the results also indicate that mobile payment is the best Open API application scenario in the FinTech service ecosystem, followed by online banking. These results illustrate strategic and management implications.

This study screens key evaluation criteria with a literature review and expert questionnaire interviews to process quantitative research. It can determine the weights of objectives and criteria to clarify the strength of influence between the objectives and criteria. Next, this study measures the probable performance of Open API applied in various FinTech service ecosystem scenarios.

The purpose of this paper is to demonstrate the applications of big data in personal knowledge management (PKM).

Five conventional knowledge management dimensions, namely, the value of data, data collection, data storage, data application and data presentation, were applied for integrating big data in the context of PKM.

This study concludes that time management, computer usage efficiency management, mobile device usage behavior management, health management and browser surfing management are areas where big data can be applied to PKM.

While the literature discusses PKM without considering the impact of big data, this paper aims to extend existing knowledge by demonstrating the application of big data in PKM.

One of the primary problems in the production of cement testing cubes is inconsistency in quality due to skill differences between operators and low repeatability in human performance of identical operations. To eliminate this problem and to enhance productivity, a state‐of‐the‐art robot workcell system, which utilized a multitasking control strategy and tool changer and sensor technology to automatically produce cement testing cubes, was designed and integrated. A comparative analysis of compressive strength values of specimens made by human operators and robots indicated that the specimens made by the robot workcell system had lower variation than the human made ones. This study not only demonstrates that robot workcells are flexible and robust enough to be used in cement testing cube production, but also suggests that revision of American Society of Testing Methods (ASTM) procedures to facilitate implementation of high technology in the materials testing process should be considered.