Results 251 to 260 of about 24,381,545 (294)
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FCS: A Decision Support System (DSS).
The Accounting Review, 1987Abstract Reviews the book 'FCS: A Decision Support System.'
Thomas W. Bolland, Harvey S. Hendrickson
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Decision Support System (DSS) on Pulses in India
LEGUME RESEARCH - AN INTERNATIONAL JOURNAL, 2020Pulses are popularly known as poor man’s meat. Pulses mainly constituted of gram, arhar, mung, urad and lentil etc. The energy content of most pulses have been found to be between 300 and 540 Kcal/100g. India is the largest producer and consumer of pulses in the world contributing around 14.36% of the total global production.
K. P. Vishwajith +4 more
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Adoption of Decision Support Systems (DSS) in a Developing Country
Journal of Decision Systems, 2007This research focuses on antecedents to adoption of DSSs in Chile, a rapidlydeveloping economic leader in South America. Interviews with senior-level and IT managers in Chilean firms revealed a positive business climate, advanced hardware / software infrastructure, and significant utilization of computing resources.
Gloria E. Phillips-Wren +3 more
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An attribution model of decision support systems (DSS) usage
Information & Management, 1987Abstract The effort to utilize DSS in the corporate sector has largely involved the implementation of a decision based only on strategic corporate advantages with little, if any, regard for behavioral issues. Businesses are social organizations and must consider behavioral influence on the success of implementing decision results.
Cary T. Hughes, Michael Lucas Gibson
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Improving Semantic in the Decision Support System K-DSS
2009 International Conference on Information, Process, and Knowledge Management, 2009In this paper, we propose a characterization of the main classes contained in the database of the system K-DSS and related to the domain of identification of the crucial knowledge for which a capitalizing operation is required. We exploit ontological categories existing in the literature to define the notions of Knowledge, Actor, Support and Criteria ...
Sabine Bruaux, Inès Saad
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Developing decision support systems (DSS) for weed management
2022The objectives of this chapter are to review what is achievable in DSS designed specifically for weed management, identify the obstacles in creating more effective DSS, and discuss how to increase adoption by farmers. DSS can model crop yield losses due to weed competition and set thresholds for intervention which can significantly reduce herbicide use.
Panagiotis Kanatas +3 more
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MM-DSS: Integrating multimedia and decision-making knowledge in decision support systems
Expert Systems with Applications, 2007Abstract Multimedia (MM) information systems have been utilized for decision-making tasks since they were developed in the early 1990s. Few research studies to date have paid attention to the integrated mode of MM information with a decision support system (DSS) or have investigated the role of MM information and DSS from the perspective of model ...
Ohbyung Kwon +2 more
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2009 International Conference on Computational Intelligence and Natural Computing, 2009
Research paradigm plays an important role in the study of decision support system (DSS). Currently most researches in DSS heavily rely on positivist paradigm while other paradigms are ignored. Firstly this paper compares the paradigms for the inquiry in DSS. Then we propose a design framework of cognitive DSS based on dialectic pluralist paradigm. Some
Yinghong Zhong, Yingchun Zhong
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Research paradigm plays an important role in the study of decision support system (DSS). Currently most researches in DSS heavily rely on positivist paradigm while other paradigms are ignored. Firstly this paper compares the paradigms for the inquiry in DSS. Then we propose a design framework of cognitive DSS based on dialectic pluralist paradigm. Some
Yinghong Zhong, Yingchun Zhong
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Journal of Information Technology, 1994
All Decision Support Systems (DSS) are, by their nature, designed to improve decision making effectiveness, yet a review of the experimental literature reveals that achievement of this objective is mixed. We propose that this is because DSS effectiveness is contingent upon a number of factors related to the task and DSS under investigation. This paper
Richard Webby, Marcus O'Connor
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All Decision Support Systems (DSS) are, by their nature, designed to improve decision making effectiveness, yet a review of the experimental literature reveals that achievement of this objective is mixed. We propose that this is because DSS effectiveness is contingent upon a number of factors related to the task and DSS under investigation. This paper
Richard Webby, Marcus O'Connor
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Bisc decision support system (bisc-dss)
IEEE International Conference on Industrial Informatics, 2003. INDIN 2003. Proceedings., 2004A key component of any autonomous system is a decision module, which is capable of handling large volume of data at high speed and high reliability. This paper is focused, in the main, on the development of a decision module, which is capable of functioning in an environment of imprecision, uncertainty and imperfect reliability. There are two principal
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