The Relationships among the Learning Transfer System, Managers’ Creative Learning Transfer, and Job Performance

To survive and thrive in the ever-changing global environment, organizations must constantly innovate and transform in the market by obtaining, applying, and creating new knowledge. In particular, given the importance of managers’ excellent leadership for organizational performance, organizations must find a way to enhance managers’ creative application of leadership knowledge to novel business situations (i.e., creative learning transfer). Over the past 110 years, research on learning transfer has proliferated because new knowledge and application of it to business must be at the heart of competitive advantages of an organization. Despite numerous empirical inquiries and advancement on learning transfer, there are still four major research gaps to be closed: (1) lack of a comprehensive instrument to measure predictors of creative learning transfer; (2) paucity of empirical research on learning transfer guided by sound theories; (3) ignorance of the importance of creative learning transfer in literature; and (4) little attention to a motivational factor as a mediator between transfer predictors and transfer outcomes. To fill the gaps, an overarching purpose of the present study was to examine the relationships among the learning transfer system, managers’ creative learning transfer, and job performance. The targeted population of the current study was managers who worked for large companies in South Korea and completed leadership training programs in the companies. Based on a non-experimental research design, an electronic 76-item survey was used to collect quantitative and qualitative data from 16 companies that agreed to participate in the current study. After data screening, the valid sample consisted of 753 managers from the companies, which may represent 16 industries in the country. To analyze the quantitative data, a series of exploratory and confirmatory factor analyses (EFA/CFA) was conducted, followed by structural equation modeling (SEM) analyses. For the qualitative data, a thematic analysis was conducted. Three major findings emerged from the current study. First, the Learning Transfer System Inventory (LTSI) Version 4 was successfully validated in an international context. Second, the nomological network among the learning transfer system, creative learning transfer, and job performance was confirmed. Third, seven themes of enablers and barriers for creative learning transfer were identified for use in the future research. HRD professionals may obtain critical implications from the current study to help organizational managers apply learned leadership knowledge and skills to novel business situations to create more competitive work systems, products, and/or services. The current study may serve as the bedrock on which researchers can theorize the concept of creative learning transfer, elaborating on organizational knowledge creation theory

Truck-based mobile wireless sensor networks for the experimental observation of vehicle–bridge interaction

Heavy vehicles driving over a bridge create a complex dynamic phenomenon known as vehicle–bridge interaction. In recent years, interest in vehicle–bridge interaction has grown because a deeper understanding of the phenomena can lead to improvements in bridge design methods while enhancing the accuracy of structural health monitoring techniques. The mobility of wireless sensors can be leveraged to directly monitor the dynamic coupling between the moving vehicle and the bridge. In this study, a mobile wireless sensor network is proposed for installation on a heavy truck to capture the vertical acceleration, horizontal acceleration and gyroscopic pitching of the truck as it crosses a bridge. The vehicle-based wireless monitoring system is designed to interact with a static, permanent wireless monitoring system installed on the bridge. Specifically, the mobile wireless sensors time-synchronize with the bridge's wireless sensors before transferring the vehicle response data. Vertical acceleration and gyroscopic pitching measurements of the vehicle are combined with bridge accelerations to create a time-synchronized vehicle–bridge response dataset. In addition to observing the vehicle vibrations, Kalman filtering is adopted to accurately track the vehicle position using the measured horizontal acceleration of the vehicle and positioning information derived from piezoelectric strip sensors installed on the bridge deck as part of the bridge monitoring system. Using the Geumdang Bridge (Korea), extensive field testing of the proposed vehicle–bridge wireless monitoring system is conducted. Experimental results verify the reliability of the wireless system and the accuracy of the vehicle positioning algorithm.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/90810/1/0964-1726_20_6_065009.pd

Relationship between core self-evaluation and innovative work behavior: mediating effect of affective organizational commitment and moderating effect of organizational learning capacity

Focusing on employees, this study examined the respective mediating and moderating effects of affective organizational commitment and organizational learning capacity in the relationship between core self-evaluation and innovation work behavior. We collected data via an online survey from 330 office workers at midsize and large companies in a metropolitan area of South Korea. The results of analyzing the data using PROCESS macro were as follows: (1) core self-evaluation was positively related to innovative work behavior; (2) the relationship was mediated by affective organizational commitment; (3) the relationship was buffered by organizational learning capacity, such that a higher level of organizational learning capacity diminished the impact of core self-evaluation on innovative wok behavior; and (4) the conditional effect of core self-evaluation on innovative work behavior existed only in the group of a low level of organizational learning capacity. Based on these findings, we suggested implications for theory building, research, and practice

Calculation of Response Characteristics of Various Hydrocarbon Gas Sensors

Technologies for detecting leaks of gases and measuring gaseous concentrations have been widely developed with every sensor type. To manufacture excellent gas leak detector, an excellent gas sensors are necessary parts. In this research, the design of a system to simultaneously measure performances of five gas sensors is introduced. That system need the components of measuring appliances, sensing circuits, control firmware, and PC software to be operated. Also the performances to test gas sensors need response characteristics, accuracy, and repeatability according to output signals for injecting gas amounts into gas sensors. The firmware is implemented to operate sensors and to acquire output data against for input of sensors in real time. Acquired data were stored in the text file according to every sensor during a pre-set measurement interval. Software is coded to draw graphs of the voltage values measured by each sensor in real time. Using proposed a testing system we showed how to test response characteristics and induce better calibration equations of five sensors. This paper compared experimental data of five sensors and verified which gas sensor is the best

Towards standardizing Korean Grammatical Error Correction: Datasets and Annotation

Research on Korean grammatical error correction (GEC) is limited compared to other major languages such as English and Chinese. We attribute this problematic circumstance to the lack of a carefully designed evaluation benchmark for Korean. Thus, in this work, we first collect three datasets from different sources (Kor-Lang8, Kor-Native, and Kor-Learner) to cover a wide range of error types and annotate them using our newly proposed tool called Korean Automatic Grammatical error Annotation System (KAGAS). KAGAS is a carefully designed edit alignment & classification tool that considers the nature of Korean on generating an alignment between a source sentence and a target sentence, and identifies error types on each aligned edit. We also present baseline models fine-tuned over our datasets. We show that the model trained with our datasets significantly outperforms the public statistical GEC system (Hanspell) on a wider range of error types, demonstrating the diversity and usefulness of the datasets.Comment: Add affiliation and email addres

Multifunctional layer-by-layer carbon nanotube–polyelectrolyte thin films for strain and corrosion sensing

Since the discovery of carbon nanotubes, researchers have been fascinated by their mechanical and electrical properties, as well as their versatility for a wide array of applications. In this study, a carbon nanotube–polyelectrolyte composite multilayer thin film fabricated by a layer-by-layer (LbL) method is proposed to develop a multifunctional material for measuring strain and corrosion processes. LbL fabrication of carbon nanotube composites yields mechanically strong thin films in which multiple sensing transduction mechanisms can be encoded. For example, judicious selection of carbon nanotube concentrations and polyelectrolyte matrices can yield thin films that exhibit changes in their electrical properties to strain and pH. In this study, experimental results suggest a consistent trend between carbon nanotube concentrations and strain sensor sensitivity. Furthermore, by simply altering the type of polyelectrolyte used, pH sensors of high sensitivity can be developed to potentially monitor environmental factors suggesting corrosion of metallic structural materials (e.g. steel, aluminum).Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/58148/2/sms7_2_022.pd

An Electrical Wave Height Measurement at Spatial Multipoint Locations in Liquid Dampers for Structural Vibration Mitigation

Liquid dampers such as tuned liquid column dampers and tuned liquid dampers have been adopted to ensure serviceability of a vibratory building subjected to wind. In order to maximize efficiency of the vibration suppression, tuning frequency of the liquid dampers is supposed to be set to the first natural frequency of the building. Therefore, experimental evaluation of the natural frequency of liquid dampers is a primal factory task prior to their installation at the building. In this study, a novel liquid height measurement system based on variable resistance in an electric field is developed for observation of vertical motion of the liquid dampers. The proposed system can simultaneously measure the liquid height of multipoint locations in the electric field. In the experimental phase, natural frequency of the liquid dampers is experimentally evaluated utilizing the developed system. The performance of the proposed system is verified by comparison with the capacitive type wavemeter