PurposeThe relationship between online reviews and purchase intention has been studied in previous research. However, there was little knowledge about the effect of information quality and the social presence of online reviews on purchase intention based on the stimulus-organism-response (S-O-R) framework. The purpose of this study is to explore the intrinsic relationship between the stimulus (perceived information quality and social presence) generated from online reviews and the response (purchase intention).Design/methodology/approachThis study developed a research model by applying the S-O-R framework to test the proposed hypotheses. A combination of a web-based experiment and an online survey was employed to collect data. Hypotheses were empirically tested using Smart PLS.FindingsThe PLS analysis shows that both perceived information quality and the social presence of online reviews positively affect trust. Moreover, satisfaction with online reviews affects purchase intention, whereas trust has a positive impact on satisfaction, playing a mediating role between two stimuli and satisfaction. Besides, perceived information quality of positive online reviews is found to have a more significant impact on trust, satisfaction and purchase intention.Originality/valueThe results of this study are of great value for expanding both theoretical research and practical applications of online reviews in relation to purchase intention. This study with a new research model reveals the understanding of how the purchase intention will be motivated by online reviews. Meanwhile, the moderating effects and the mediating effects are also discussed.

The main problem with cement composites is that they have structural defects, including cracks, holes, and a disordered morphology, which significantly affects their strength and durability. Therefore, the construction of cement composites with defect-free structures and high strength and long durability is an important research topic. Here, by controlling the size and chemical groups of graphene oxide nanosheets (GONs) used for doping, we were able to control the entire cement matrix to form an ordered microstructure consisting of polyhedron-like crystals and exhibit flower-like patterns. The cracks and holes in the cement matrix just about vanished. The compressive and flexural strengths as well as the parameters for the durability assessment of the corresponding cement composites obviously improved compared with the control samples. Thus, the formation mechanism of the cement matrix with the ordered microstructure is proposed, and a proper explanation is given to regulation action.

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Autonomous mapping systems execute multiple tasks that include navigation, location, and map generation via the collaborative work of multiple sensors. They are the object of a substantial research focus in the fields of robotics and remote sensing. Although the state-of-the-art mobile mapping systems typically found in readymade vehicles or robots are reliable, they are rather large and heavy, their cost is high, and they generally use GPS and an inertial measurement unit to position, so their working environments are limited. After reviewing the current state of autonomous mapping systems, we describe the design and development of a small and lightweight autonomous mapping system (ASQ-6DMapSys) without GPS, which incorporates low-cost sensors and components. We describe the layout and selection strategy for sensors and other components in detail, and we present the design methodology for each subsystem. The ASQ-6DMapSys employs a two-dimensional (2D) lidar, an inclinometer, and two wheel encoders, which constitute a pose subsystem that uses extended Kalman filtering and simultaneous localization and mapping techniques to compute the pose of the vehicle body. A lowcost 3D lidar that we developed is also installed on the vehicle body, and the resultant data are aligned with the corresponding pose data of the vehicle body to build a 3D point cloud that describes the global geometry of the environment. We designed and developed every subsystem of the ASQ-6DMapSys, including the robot vehicle, so it will be easy to expand its functions in the future. The ASQ-6DMapSys performs well in indoor, outdoor, and tunnel environments, and the experiments in different environments show that the ASQ-6DMapSys is an effective, small, and lightweight autonomous mapping system with a high performance/price ratio. C 2013 Wiley Periodicals, Inc.