Intelligent agents framework for developing knowledge-based decision support systems for collaborative organizational processes

Bose, Ranjit

doi:10.1016/s0957-4174(96)00042-5

Cited by 20 publications

(8 citation statements)

References 28 publications

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“…One area that is very promising is the use of software (intelligent) agents. The agents emulate the work and behavior of human agents in executing organizational processes, such as travel authorization [11] or planning [12]. Each agent is capable of acting autonomously, cooperatively, and collectively to achieve the stated goal.…”

Section: F Intelligent Agents In Travel Servicesmentioning

confidence: 99%

Retailing in Electronic Commerce: Travel and Tourism Services Online

Mustakim

2019

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In recent years, the emergence of new tourism services and products, coupled with a rapid increase in tourism demand, have driven the wide-scale adoption of ITs in general, and in particular, the Internet as an electronic intermediary. In other words, the Internet serves as a new communication and distribution channel for e-travelers and suppliers of travel services and products. This new channel also enables tourism businesses to improve their competitiveness and performance. The aim of this paper is to highlight how retailing in e-commerce (travel tourism service online) according to the experts is, special services, such as wireless services, direct marketing, alliances and consortia, benefits and limitation of travel online service, the impact of EC on the travel industry, corporate travel and intelligent agents in travel services.

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Section: F Intelligent Agents In Travel Servicesmentioning

confidence: 99%

Retailing in Electronic Commerce: Travel and Tourism Services Online

Mustakim

2019

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“…Review on contemporary publications indicates that whilst the research findings so far have contributed to the progressive introduction of intelligence level to the models in terms of tasks decomposition and optimization of process planning operations, the machine self-learning aspect and in particular, the ability to predict possible outcomes, has not achieved the anticipated research advances [4,7,11,12,25,28,30]. Machine self-learning enables the progressive addition of intelligence and corporate information to a system through a systematic knowledge creation process.…”

Section: Paradigms Of Supply Chain Workflowmentioning

confidence: 99%

Infrastructure of an Agile Supply Chain System: A Virtual Agent Modeling Approach

Lau

Wong

2003

Lecture Notes in Computer Science

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This paper attempts to suggest an infrastructural framework for the design and development of an agile supply chain system which is characterized by its ability to cope with unprecedented changes related to the management of suppliers and the flow of parts within the value chain of the entire production network. In particular, a virtual agent modeling approach, which provides the adaptive and predictive capability to meet the requirements of this agile system, is proposed. The infrastructure of this agile supply chain system highlights the deployment of virtual agents, which are basically intelligent functional objects emulating the behavior of human beings with relatively high adaptability. The significance of contribution of this paper is concerned with the suggestion of an infrastructural framework, which is able to enhance the agility as well as adaptability of value-added activities in a supply chain, thereby providing more alternatives and ideas for those researchers who are interested in this field of study.

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“…It is based on the conversations between workflow participants, and has merits for modeling unstructured workflow such as project planning. Some research employ object-oriented approach for workflow modeling and enactment (Bose, 1996;Chang and Scott, 1996;Jennings et al, 1996). Bose (1996) presented five classes of objects as a key construct: roles, organization structures, procedures, transitions, and documents.…”

Section: Review Of Related Researchmentioning

confidence: 99%

“…Some research employ object-oriented approach for workflow modeling and enactment (Bose, 1996;Chang and Scott, 1996;Jennings et al, 1996). Bose (1996) presented five classes of objects as a key construct: roles, organization structures, procedures, transitions, and documents. In his model, workflows are executed through message passing between participating objects of the workflows.…”

Section: Review Of Related Researchmentioning

confidence: 99%

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Lee

Kim

Park

1999

Journal of Intelligent Information Systems

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The workflow management system (WFMS) in an agile organization should be highly adaptable to frequent organizational changes. To increase the adaptability of contemporary WFMSs, a mechanism for managing changes on the organizational structure and business rules need to be enhanced. In this paper, a knowledge-based approach for workflow modeling is proposed, in which a workflow is defined as a set of business rules. Knowledge on organizational structure and special workflow, such as role/actor mapping and complex routing rules, can be explicitly modeled in KWM (Knowledge-based Workflow Model).Using knowledge representation scheme and dependency management facility, change propagation mechanism is provided to adapt to frequent changes on organizational structure, business rules and procedures.

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Intelligent agents framework for developing knowledge-based decision support systems for collaborative organizational processes

Cited by 20 publications

References 28 publications

Retailing in Electronic Commerce: Travel and Tourism Services Online

Retailing in Electronic Commerce: Travel and Tourism Services Online

Infrastructure of an Agile Supply Chain System: A Virtual Agent Modeling Approach

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