• The Journal of Information Systems
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• v.29 no.4
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• pp.77-99
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• 2020

Purpose The purpose of this study is to investigate the effect of two-way communication and knowledge sharing on the task performance of employees in the interdependent task structure in organizations. Based on the theories of social interdependence and organizational commitment, this study hypothesized the effects of task interdependency and emotional commitment on two-way communication and knowledge sharing, followed by the effects of these variables on the task performance of employees. Design/methodology/approach Survey results show that task interdependence and emotional commitment have positive effects on the degree of two-way communication and knowledge sharing. Two-way communication also has a positive impact on knowledge sharing, and knowledge sharing also improved the task performance of members. However, the relationship between two-way communication and task performance shows no significant impact. Findings Theoretically, this study is meaningful in that the process of task interdependence in relation to emotional commitment leading to task performance is theorized. In practice, this research suggests it is important to improve employees' two-way communication and knowledge sharing in order to lead to increase task performance in the interdependent task environment.

• Knowledge Management Research
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• v.4 no.2
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• pp.19-34
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• 2003

This paper analyzes 96 Korean companies to illustrate the relationship between the knowledge management strategies and task characteristics. Knowledge management strategies can be categorized as being codification- and personalization-oriented. Task characteristics are analyzed from the perspective of content-oriented, process-oriented, number of exceptions, and analyzability. These results illustrate how companies should align the knowledge management strategies with task characteristics. It is found that codification strategy is more likely to be associated with high content-oriented and high analyzability task, and personalization strategy is with high process-oriented task. The survey result confirms that managers should adjust knowledge management strategies in view of the characteristics of the task.

• Knowledge Management Research
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• v.4 no.1
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• pp.67-79
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• 2003

Today, corporate knowledge plays a critical role in obtaining competitive advantage. It is often pointed out that corporate knowledge is expected to be able to support various efforts for process innovation. Accordingly, it is important to establish a systematic infrastructure for the acquisition of knowledge which can support business-critical tasks effectively. From this motivation, this paper proposes a framework to guide a series of acquisition procedures for task knowledge and shows how to intemperate with activities for an innovation purpose. Moreover, the useful components of task knowledge are proposed; the schema of the components is ultimately implemented as a repository in a system for the management of task knowledge. To demonstrate the practical usefulness of the framework and the schema components, a real-life case is illustrated.

• Knowledge Management Research
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• v.5 no.2
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• pp.53-65
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• 2004

Organizations continue to invest heavily in the acquisition of knowledge management systems (KMS). The overriding belief is that KMS-task fit will become more productive. A survey of users was conducted to better understand the factors that affect KMS-task fit to better explain KMS performance perspective on knowledge circulation process. This involves stating the research hypotheses among the following constructs: the characteristics of KMS, the fitness of task characteristics, and KMS performance. The findings indicate that the characteristics of KMS positively affect the fitness of task characteristics. The fitness of task characteristics are affecting KMS performance. The results of this study suggest that task-technology fit could be the basis for a strong diagnostic tool to evaluate whether KMS in a given organization are meeting user needs.

• Knowledge Management Research
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• v.13 no.4
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• pp.101-116
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• 2012

Knowledge management system is crucial for increasing organizational performance. However, despite this importance of knowledge management system, many companies fail to facilitate individual employees' knowledge sharing. One of reasons for this failure is the lack of consideration of how individual employees' characteristics and their interpersonal relationship influence on individual-level knowledge sharing. To explain individual-level knowledge sharing, this study investigates the mechanism that employees engage in knowledge sharing activities with their coworkers from the social exchange perspective. We have two purposes of study. First, we examine whether coworker's task-related help seeking affects employee's knowledge sharing with them. Second, we investigate the influence of help-seeker' characteristics as moderators on the relationship between task-related help seeking and knowledge sharing. Specifically, we considered coworker's maladjustment, LMX, and ability as moderators. Our analysis of 192 employees shows that the main effect of coworker's task-related help seeking on knowledge sharing is not significant. However, coworker's maladjustment and LMX moderate the relationship between task-related help seeking and knowledge sharing. The positive relationship between task-related help seeking and knowledge sharing is stronger when help seeker's maladjustment is high than when it is low. And the positive relationship between task-related help seeking and knowledge sharing is weaker when help seeker's LMX is high than when LMX is low. The results of this study have theoretical implications that enrich our understanding of individual-level knowledge sharing, and managerial implications that suggest employees' appropriate attitudes to facilitate knowledge sharing in a coworker relationship.

• Journal of the Korean Home Economics Association
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• v.40 no.11
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• pp.119-130
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• 2002

This study investigated preschool children's script knowledge according to task situation and socioeconomic status. Subjects were seventy-eight 5-year-old children (38 low- and 40 middle-income children; 36 boys and 42 girls) recruited from three day-care centers in Seoul. Each child participated in the script knowledge assessment session. Assessment of script knowledge consisted of a picture-recognition and picture-sequencing task. Statistical methods used for data analysis were means, standard deviations, repeated measures ANOVA. Results showed that children's script knowledge scores were higher in familiar task situation than in unfamiliar task situation. Furthermore, middle-income children had higher scores of script knowledge than low-income children. Findings of this study indicate that there is the difference of script knowledge between low- and middle-income preschoolers.

• Korean Journal of Child Studies
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• v.34 no.1
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• pp.21-34
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• 2013

The purposes of this study were (1) to investigate the differences in the level of children's knowledge and reasoning skills due to the sloping phenomenon according to their ages and the types of tasks they were asked to perform, and (2) to investigate whether children's prior knowledge is changed to post knowledge through their reasoning. A total of 120 subjects, forty from each of the age groups 4, 6 and 8 were selected for the study. The major findings are presented below : 8-year old children showed higher levels of prior knowledge than 6-year old children. The prior knowledge level of the "size" task was higher than that of the "weight" task. 6-and 8-year old children showed higher levels of reasoning than 4-year old children. The reasoning level of the "size" task was higher than that of the "weight" task. 6-and 8-year old children showed higher levels of post knowledge than 4-year old children. However, there was no difference in children's post knowledge according to task difference. Through the different types of reasoning involved in the children's performances of the two tasks, changes in the prior knowledge of the sloping phenomenon were observed among all age groups.

• Knowledge Management Research
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• v.9 no.3
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• pp.43-57
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• 2008

This study examines the impact of knowledge processes (KP) on the performance of knowledge management systems (KMS). It posits that task needs and available functionality of technology existing in an organization could influence the usability of KP and the KMS performance. A firm-level structural model was developed based on data collected from corporate KM users. Survey-based research was carried out to test this model. Following questionnaire development, validation, and pretest with a pilot study, data were collected from 886 knowledge management (KM) users including directors, managers, and workers in a South Korea-based company, Korea Asset Management Corporation (KAMCO), to measure the task needs and available functionality of technology to improve the KMS performance. Results show that the matching between the two factors-technology and task-had a significant influence on the usability of KP and the KMS performance, and a better usability of KP has positive impact on the KMS performance. Implications on KM practices and KMS designs are also discussed.

• 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.

• Knowledge Management Research
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• v.7 no.2
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• pp.97-122
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• 2006

The purpose of this study is to investigate the relationships between knowledge sharing antecedents and knowledge sharing intention in a financial institute and knowledge sharing behavior, knowledge sharing behavior and knowledge sharing performance. This paper first reviews the influencing factors of knowledge sharing and presents the research framework on knowledge sharing with categorized four factors such as structural factors, relational factors, personal and task characteristics. Based on a research framework, survey analysis was conducted with financial institution members. This paper examined the relationship between antecedents of knowledge sharing and knowledge sharing intention, knowledge sharing intention and knowledge sharing behavior. Also it analyzed the relationship between knowledge sharing behavior and the knowledge sharing performance. As a result, the paper suggested that the knowledge sharing intention consist of two dimensions. The first is voluntary knowledge sharing intention. The second is solicited knowledge sharing intention. The former has a significant positive relationship with the innovativeness, communication, personal creative propensity and perception of the knowledge sharing. The later has a significant positive relationship with the task interdependence but has a significant negative relationship with the knowledge sharing evaluation system. Knowledge sharing intention has a significant positive relationship with the knowledge sharing behavior. Also knowledge sharing behavior has a significant positive relationship with the knowledge sharing performance. Finally, the implications and limitations of the study are discussed.