• Asia pacific journal of information systems
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• v.8 no.3
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• pp.119-134
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• 1998

Among several theories to explain how different communication media affect task performance, media richness theory(MRT) is one of the most frequently cited. Recent studies related to the use of communication media, however, have raised the question of the effectiveness of the MRT as a predictor of media choices or of individual effectiveness. The objective of this research is to examine the assumptions of the MRT. MRT proposes that the properties of media are objective in other words, they are inherent and physical attributes recognizable by users. This study experiments on the effects of task characteristics and medium experience on the perceived media richness and social presence. The results of this study did not support the assumptions of the MRT. There was an interaction effects of task characteristics and medium experience on both the perceived media richness and social presence. While the inexperienced computer-mediated communication(CMC) group perceives their medium richer for the unequivocal task, the experienced CMC group perceives their medium equally for the equivocal and the unequivocal task.

• Knowledge Management Research
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• v.8 no.2
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• pp.31-52
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• 2007

Since the introduction of knowledge management systems, many studies have attempted to analyze its performance and identify the success factors. However, few studies have investigated the relationship between KMS technology characteristics and its quality. This paper attempts to categorize KMS technology functions into socialization, externalization, combination and internalization and then find the relationship between these functions and KMS quality. It also attempts to investigate the moderating effect of task characteristics in this relationship. Our research frame is derived from the well known task-technology fit model and the related KMS performance studies. A survey was conducted from 157 KMS users. It is found that both externalization and combination are important for KMS quality and this quality influences the KMS performance. Furthermore, it is confirmed that the task characteristics can moderate between the KMS technology and its quality.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.30B no.6
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• pp.9-19
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• 1993

This paper presents a new concept of a reconfigurable manipulator system which adjusts its mechanical structure to suit the kinematic characteristics of a given task. A highly redundant manipulator designed as a general purpose manipulator needs to be reconfigured for a specific task. A general task can be decomposed of motion and force components with different control requirements: either gross motion control or fine motion control. Each of these task components are distributed to each part of the manipulator based on the control requirements and the structure of the manipulator. Through the reconfiguration, a redundant manipulator is decomposed into two local arms, and the kinematic characteristics of each local arm is adjusted to suit the assigned task. The reconfigured redundant manipulator has two local arms well-configured for the local tasks and cooperating in serial for a given task. This globally enhances the performance of a redundant manipulator to execute a specific task. The simulation results are shown.

• Journal of The Korean Association For Science Education
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• v.34 no.7
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• pp.657-666
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• 2014

To identify the gifted, it is essential to perform overall evaluation on cognitive and affective aspects considering all the characteristics of the science gifted. Nowadays, not only cognitive factors but also affective factors are being emphasized. Among the affective factors of the gifted, the task commitment is an important factor to describe the gifted and their outstanding achievements. From this research, by measuring the characteristics of task commitment shown in the science gifted, this can offer good implications regarding the selection of the gifted and the education. We developed the rubric of the gifted students by analyzing the students' experience of showing task commitment. By applying the rubric, we measured the levels by areas of the characteristics of task commitment shown in the experiences which the science gifted had by deeply exploring the cause or the principle. To better understand the characteristics of the science gifted students' task commitment, each and every students' characteristics were specifically described. The students' task commitment can be measured objectively and effectively by using the measuring tool in the form of rubric based on the characteristics of the task commitment. Specifically describing the students' characteristics on the basis of their performance criteria is the grounds for the level judgment and enhances the understanding of the characteristics of students' task commitment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.12
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• pp.3416-3435
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• 2023

Task offloading in vehicular networks is hot topic in the development of autonomous driving. In these scenarios, due to the role of vehicles and pedestrians, task characteristics are changing constantly. The classical deep learning algorithm always uses a pre-trained neural network to optimize task offloading, which leads to system performance degradation. Therefore, this paper proposes a neural network fine-tuning task offloading algorithm, combining with location prediction for pedestrians and vehicles by the Payne model of fluid dynamics and the car-following model, respectively. After the locations are predicted, characteristics of tasks can be obtained and the neural network will be fine-tuned. Finally, the proposed algorithm continuously predicts task characteristics and fine-tunes a neural network to maintain high system performance and meet low delay requirements. From the simulation results, compared with other algorithms, the proposed algorithm still guarantees a lower task offloading delay, especially when congestion occurs.

• Journal of Home Health Care Nursing
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• v.15 no.1
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• pp.14-21
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• 2008

Purpose: The aim of this study was to analyze the effects of job characteristics on emotional empowerment in visiting health personnel. Methods: Subjects were recruited in ten community health care centers in one directorial area. Data collection was done using a self-report questionnaire. Job characteristics of visiting healthcare personnel were measured using the questionnaire developed by Kang (2006), based on Hackman & Oldham (1975). Emotional empowerment was measured using the questionnaire developed by Kang (2006), based on Spreitzer (1995). Results: First, the score of job characteristics was revealed to be 3.51 points the task significance was high, and the feedback was low. Second, the level of emotional empowerment was revealed to be 3.78 points the meaning was high, and the impact was low. Third, the prediction power of job characteristics on emotional empowerment was 34% autonomy, task identity, and task significance were identified as statistically significant predictive factors. Conclusion: The job characteristics of visiting healthcare personnel are highly correlated with emotional empowerment. Autonomy, task identity, and task significance are predictive factors of emotional empowerment. These results can be used to develop more effective job planning for increasing organizational effectiveness in visiting healthcare personnel.

• The Journal of Information Systems
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• v.31 no.2
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• pp.63-88
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• 2022

Purpose The purpose of this study is to empirically analyze the factors affecting the intention to use cloud computing in the smart work environment. This study is meaningful in that it examines the characteristics of smart work and the fit of cloud computing characteristics, and it is a study that reveals the factors affecting the intention to use cloud computing by applying the integrated model of TTF and TAM. Design/methodology/approach In order to understand the factors affecting the intention to use cloud computing in the smart work environment, a research model that integrates TTF and TAM with the hypothesis was proposed. In order to verify the research hypothesis, this study conducted a survey on individuals with experience in smart work and cloud computing. And with the data 280 collected in the survey, path analysis was performed using the PLS structural equation. Findings As a result, it was found that task characteristics and technology characteristics had a positive (+) effect on task-skill fit, and task-skill fit had a positive (+) effect on perceived ease of use and usefulness. Also, task-skill fit, perceived ease of use, and perceived usefulness were found to have a positive (+) effect on intention to use.

• Journal of Korean Physical Therapy Science
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• v.10 no.2
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• pp.145-152
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• 2003

Recruiting and maintaining capable physical therapists in hospitals is crucial to provide patients with better quality's physical therapy and to achieve hospital business objectives. This study is to provide basic data for effective personnel management of physical therapists in the hospital. For this, this study was conducted to confirm the relationship between turnover intention and job characteristics(task importance, job autonomy, job feedback, task identity, skill diversity), and to find out factors affecting the turnover intention of hospital physical therapists in Korea. The sample used in this study consisted of 173 physical therapists who were working in hospitals located in Seoul from June 18 to 29. The data for analysis were collected by questionnaire survey. The dependent variable of this study was turnover intention and the independent variables were job characteristics(task importance, job autonomy, job feedback, task identity, skill diversity), demographic characteristics of respondents(sex, age, education level, marital status, working hospital, working career). The major statistical methods used for the analysis were factor analysis, t-test, ANOVA, correlation, and hierarchical multiple regression analysis. Turnover intention according to demographic characteristics of respondents was significantly high in the graduate school above group. As the result of hierarchical multiple regression analysis of turnover intention, R2 of job characteristics was much more powerful than demographic characteristics. The factors had significant negative effect on turnover intention were job autonomy, task identity, and skill diversity. And in demographic characteristics factors, there were not significant factors on turnover intention. In considering above findings, for decreasing turnover intention of physical therapists, hospitals need to develop strategies for enhancing job satisfaction by improving job autonomy, task identity, and skill diversity from the adequate job environment.

• Journal of the Korean Society of Safety
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• v.24 no.3
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• pp.71-78
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• 2009

During a learning process, a human being is assumed to experience knowledge-based behaviors, rule-based behaviors, and skill-based behaviors sequentially if Rasmussen was right. If any psycho-physiological symptom to those different levels can be obtained, it can be useful as a measure whether a human being is fully trained and has gotten a skill in his work. Therefore, this study aimed to draw relationships between human performance measures and psycho-physiological measures while committing a computer-simulated pointing task by utilizing the power spectrum technique of EEG data, especially with the ratio of relative beta-to-alpha band power. The result showed that, during correct responses, the ratio came to stabilize as all the performance data went stable. However, response time was not a simple linear function of task difficulty level only, but a joint function of task characteristics as well as behavior levels. Comparing relative band power ratios from errors and correct responses, activated states of one's brain could be explained, and characteristics of the task could understood. To tell that of pointing task, correlations around C3, C4, P3, P4 and 01, 02 area were significant and high in correct response cases whereas most correlation coefficients went down in error cases standing for imbalance of psycho-motor functions. Though task difficulty was the only one factor that could influence on relative band power ratio with statistical significance, it should be comprehended to mean a different way of expression indicating task characteristics since at least error-some situation could be explained with the help of relative band power ratio that absolute band power failed.

• Journal of The Korean Association For Science Education
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• v.33 no.1
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• pp.1-16
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• 2013

In this research, we tried to discover the characteristics of gifted students by analyzing their experience in showing task commitment. In order to do this, we asked science gifted students to specifically describe their experiences while deeply experimenting on a scientific cause or theory. From their responses, we inductively explored the characteristics of science gifted students by extracting and analyzing the characteristics that show task commitment. Consequentially, the characteristics of the gifted students are divided into nine categories, which are confidence, setting a challenging goal, challenging approach for solving problems, sense of potential control, loss of self-consciousness, time distortion, submission to difficult task, initiative, and endurance, all of which appear repeatedly among the gifted students. With consensus among three experts who have experience in research on gifted education, these nine characteristics can be categorized into 3 characteristics; challenge, flow, and willingness. The three characteristics such as challenge, flow, and willingness well represent a definition of task commitment. These characteristics can explain the level of task commitment exhibited by science gifted students. It is possible to develop the tool and framework for judging the task commitment of gifted students on the basis of their characteristics.