Application of intelligent agent technology for knowledge management integration

Houari, N.; Far, Behrouz H.

doi:10.1109/coginf.2004.1327481

Cited by 16 publications

(10 citation statements)

References 5 publications

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“…According to Alavi and Leidner [3], knowledge differentiates from data or information as it needs to be "possessed in the mind of individuals". Moreover, data does not constitute an immediate value, but carries the potential to be exploited as knowledge-based actions [26]. Knowledge management aims to add actionable value In Table 2, we summarize our findings.…”

Section: Dda Capabilitiesmentioning

confidence: 99%

Data-driven Applications to Foster Absorptive Capacity: A Literature-based Conceptualization

Hofmann¹,

Stähle²,

Buck³

et al. 2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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The relevance of data-driven applications for leveraging knowledge embedded in data is growing. Thereby, an organization's capability to create, disseminate, and exploit knowledge (i.e., absorptive capacity) is a decisive factor in gaining competitive advantages. In this paper, we address the lack of guidance on the development and application of datadriven applications fostering an organization's absorptive capacity. Based on a structured literature review, we derive seven data-driven application capabilities and match them with an established conceptualization of absorptive capacity. While previous literature did not allow for a specific analysis, our functional representation concretely demonstrates how data-driven applications composed of separate capabilities can foster absorptive capacity in manifold ways. This paper contributes to the literature by providing a structured literature review on the impact of IT on absorptive capacity as well as introducing theoretically-based and modularized data-driven application capabilities.

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Section: Dda Capabilitiesmentioning

confidence: 99%

Data-driven Applications to Foster Absorptive Capacity: A Literature-based Conceptualization

Hofmann¹,

Stähle²,

Buck³

et al. 2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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show abstract

“…A number of recent studies demonstrate the usefulness and viability of using agentbased technologies in various applications; for example, in manufacturing automation [6] [21][22], managing relational database [23] network payment security [24], e-business [8] [25], data mining and information retrieval [26], company knowledge management [27][28], fault diagnose system [29], warehouse control [30], 3G mobile system, education [31][32], agent-based intelligent manufacturing shop floor [33], radar systems [34], and web content filtering and information gathering [35][36][37].…”

Section: Internet Search Agents: a Review Of Literaturementioning

confidence: 99%

Evaluating Intelligent Search Agents in a Controlled Environment Using Complex Queries: An Empirical Study

Sarkar¹,

Wang²,

Shen³

et al. 2017

IJDTA

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“…이-러닝은 전자적 수단에 의한 학습, 훈련, 교육의 전달 을 위해 가상공간에서 이루어지는 데이터, 정보, 기술, 혹 은 지식을 획득하기 위해 사용되는 모든 가상적 행위나 프로세스로서, 학습을 촉진하고 강화하기 위한 방식을 의 미한다 [15][16][17] . 이-러닝은 더 이상 선택이 아닌 필수가 되어 가고 있으며, 교육의 효율성과 효과성을 높일 수 있다는 기대 속에서 미래 교육의 대안이 되고 있다.…”

Section: E-learning과 E-trainingunclassified

An Experience-Type Car Maintenance Training System based on Logic Simulation

Park¹,

Park²,

Park³

et al. 2014

Journal of the Korea Society for Simulation

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Recently, researches on the application of IT technology to various fields including traditional industries are becoming more popular. One challenge in the field of education is to understand the way how technology may support learning, and research on self-directed learning has been accelerated by integrating education and IT technology. The process of self-directed learning in e-learning applications such as Car Maintenance Training is very difficult and complicated. Previous studies on car maintenance training applications provided simple training scenarios with predetermined action sequences. To incorporate self-directed learning in car maintenance training, however, trainees must be able to perform various maintenance operations himself and experience various situations. To provide such functionality, it is necessary to obtain an accurate response for various operations of trainees, but it requires complicated calculations with respect to varieties in the electrical and mechanical processes of a car. In this paper, we develop a logic simulation agent using JESS inference engine in which self-directed learning is achieved by capturing the behavior of trainees and simulating car operations without complicated physical simulations in car maintenance training.

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Application of intelligent agent technology for knowledge management integration

Cited by 16 publications

References 5 publications

Data-driven Applications to Foster Absorptive Capacity: A Literature-based Conceptualization

Data-driven Applications to Foster Absorptive Capacity: A Literature-based Conceptualization

Evaluating Intelligent Search Agents in a Controlled Environment Using Complex Queries: An Empirical Study

An Experience-Type Car Maintenance Training System based on Logic Simulation

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