作者: Prologue 時間: 2025-3-22 00:10
Motivation for a theoretical foundation for collaborative networksave suffered from ad-hoc approaches, being urgent to establish a proper theoretical foundation for the area. Furthermore, the fast developments in the area and the nature of the paradigm configure the emergence of a new discipline, which needs to be built on a sounder theoretical basis.作者: 值得贊賞 時間: 2025-3-22 02:47
Related work on reference modeling for collaborative networksdels and their approaches constitute a background for development of reference models for collaborative networks. A brief survey of work on modeling the enterprises, enterprise architectures, and early contributions to reference models of virtual enterprises is provided. Finally an identification of作者: Gleason-score 時間: 2025-3-22 06:25
Overviewunication among researchers and practitioners involved in the area, and thus contributing to its smooth development and evolution. This section offers a contribution to the elaboration of a comprehensive reference model for CNs.作者: Sputum 時間: 2025-3-22 09:43 作者: craven 時間: 2025-3-22 16:44
ARCON reference models for collaborative networks perspectives of collaborative networks, are collected and defined. Such collection represents a first proposal for a reference model for collaborative networks. The establishment of a recognized reference model is certainly a long-term activity of which this work represents a first step.作者: craven 時間: 2025-3-22 20:48
A comprehensive semantic indexing schema for ARCONd. This chapter introduces an approach for comprehensive and semantic “indexing” of both meta-elements, e.g. the Componential dimension of the Endogenous sub-space of ARCON’s reference modeling framework, and each individual element, e.g. the specific resource or market strategy belonging to the ARC作者: DEFT 時間: 2025-3-23 00:12
Overviewific and engineering activity. As such, many disciplines and research fields have developed a large portfolio of modeling theories, approaches, and tools, some of which can be potentially applied in the area of collaborative networks..This section includes an analysis of the most promising contribut作者: 樹膠 時間: 2025-3-23 03:42
A survey of soft modeling approaches for collaborative networksincompleteness of information. Soft modeling approaches are specifically developed to handle such cases and thus have a high potential to the establishment of more effective and close to reality models. Computational intelligence methods are complemented with other approaches such as qualitative rea作者: 大看臺 時間: 2025-3-23 08:22 作者: amputation 時間: 2025-3-23 13:34
A multi-model approach to analyze inter-organizational trust in VBEsips with others. As a result, different organizations consider different aspects when assessing the trust level of other organizations. Thus a number of complex aspects must be addressed to comprehensively cover the trust objectives of organizations which in turn make it difficult to model and analy作者: 禮節(jié) 時間: 2025-3-23 16:08 作者: 旋轉一周 時間: 2025-3-23 18:16
Modeling collaboration preparedness assessmentve network. Bayesian belief networks and Rough Sets are examples of modeling approaches that can be used in these cases. The use of these approaches depends on the type of collaborative network considered, namely long term or goal oriented, and on the available data necessary to perform the assessme作者: 甜得發(fā)膩 時間: 2025-3-24 00:49
A benefit analysis model for collaborative networks. In order to establish a basis for analysis of benefits in collaborative networks (related to the behavioral dimension in the ARCON reference model) this chapter introduces an approach for the analysis of benefits in collaborative processes for enterprise networks. The potential application of some作者: MILK 時間: 2025-3-24 05:35
rence for researchers and practitioners alike.Includes suppl.Collaborative Networks: Reference Modeling. works to establish a theoretical foundation for Collaborative Networks. Particular emphasis is put on modeling multiple facets of collaborative networks and establishing a comprehensive modeling 作者: 基因組 時間: 2025-3-24 08:47 作者: 暖昧關系 時間: 2025-3-24 12:07 作者: 不適 時間: 2025-3-24 15:13 作者: Contort 時間: 2025-3-24 22:23 作者: infantile 時間: 2025-3-24 23:23 作者: POWER 時間: 2025-3-25 05:30 作者: 蹣跚 時間: 2025-3-25 08:49 作者: HACK 時間: 2025-3-25 15:35
The ARCON modeling frameworkends them further to the context of collaborative networked organizations, aiming at provision of a comprehensive environment for modeling the variety of cases of collaborative, namely the VO Breeding Environment, Virtual Organization, Professional Virtual Community, and Virtual Team.作者: DOLT 時間: 2025-3-25 16:13
Networked partner selection with robust portfolio modelingthat it allows interval parameter data, instead of point estimates. Using the RPM method, Pareto-efficient VO configurations can be identified and the robustness of the candidates can be analyzed. The results suggest that the models are very useful in practical decision-making situations.作者: Spongy-Bone 時間: 2025-3-25 23:07
A benefit analysis model for collaborative networksthis chapter introduces an approach for the analysis of benefits in collaborative processes for enterprise networks. The potential application of some suggested indicators and the emergence of a “collaborative spirit” based on the reciprocity mechanism derived from this analysis are also discussed in a VO breeding environment context.作者: Intrepid 時間: 2025-3-26 03:43 作者: 凹槽 時間: 2025-3-26 06:41
https://doi.org/10.1057/9780230285927tional trust. This chapter analyzes and proposes a number of specific models that can be applied to comprehensively cover the fundamental aspects related to interorganizational trust in Virtual organizations Breeding Environments (VBEs).作者: Incompetent 時間: 2025-3-26 10:48 作者: 權宜之計 時間: 2025-3-26 15:44 作者: instill 時間: 2025-3-26 20:42
Book 2008of these complex entities. Further, this book introduces a contribution to the definition of reference models for Collaborative Networks...Collaborative Networks: Reference Modeling. provides valuable elements for researchers, PhD students, engineers, managers, and leading practitioners interested in collaborative systems and networked society..作者: Limpid 時間: 2025-3-27 00:48 作者: Celiac-Plexus 時間: 2025-3-27 03:16 作者: crease 時間: 2025-3-27 08:00
https://doi.org/10.1057/9780230285927ects within its respective discipline(s). Therefore usually several independent modeling tools and/or systems are applied in research, to model different aspects of CNs. Nevertheless, while keeping their independence, some forms of interoperation / composition among these modeling tools and systems are necessary.作者: 燒烤 時間: 2025-3-27 13:16
https://doi.org/10.1057/9781137523587nt. Combination of different modeling techniques is also useful in this context. In order to illustrate the suggested approach, a number of modeling experiments are described and achieved results are briefly discussed.作者: hypertension 時間: 2025-3-27 14:15 作者: Commemorate 時間: 2025-3-27 21:20
Overviewions, covering a wide spectrum of modeling purposes. The second chapter introduces an extensive list of modeling tools and theories and, for each one, it offers a brief synopsis and key references. An applicability map is then introduced to help the reader identify which tools / approaches best fit his / her specific modeling needs.作者: Magisterial 時間: 2025-3-28 01:52
Overviewects within its respective discipline(s). Therefore usually several independent modeling tools and/or systems are applied in research, to model different aspects of CNs. Nevertheless, while keeping their independence, some forms of interoperation / composition among these modeling tools and systems are necessary.作者: 河流 時間: 2025-3-28 05:42
Modeling collaboration preparedness assessmentnt. Combination of different modeling techniques is also useful in this context. In order to illustrate the suggested approach, a number of modeling experiments are described and achieved results are briefly discussed.作者: Focus-Words 時間: 2025-3-28 08:37 作者: LVAD360 時間: 2025-3-28 11:49
Siobhan Keenan,Dominic Shellardave suffered from ad-hoc approaches, being urgent to establish a proper theoretical foundation for the area. Furthermore, the fast developments in the area and the nature of the paradigm configure the emergence of a new discipline, which needs to be built on a sounder theoretical basis.作者: 用不完 時間: 2025-3-28 17:17 作者: FLING 時間: 2025-3-28 21:08 作者: Corral 時間: 2025-3-29 00:30
https://doi.org/10.1057/9780230597167d modeling intents. This novel modeling framework takes into account contributions from previous related works, mainly on enterprise modeling, and extends them further to the context of collaborative networked organizations, aiming at provision of a comprehensive environment for modeling the variety作者: Flounder 時間: 2025-3-29 04:47 作者: BUOY 時間: 2025-3-29 10:18
Shakespeare‘s Culture of Violenced. This chapter introduces an approach for comprehensive and semantic “indexing” of both meta-elements, e.g. the Componential dimension of the Endogenous sub-space of ARCON’s reference modeling framework, and each individual element, e.g. the specific resource or market strategy belonging to the ARC作者: Conclave 時間: 2025-3-29 13:34
https://doi.org/10.1057/9781403938435ific and engineering activity. As such, many disciplines and research fields have developed a large portfolio of modeling theories, approaches, and tools, some of which can be potentially applied in the area of collaborative networks..This section includes an analysis of the most promising contribut作者: 結構 時間: 2025-3-29 18:28
https://doi.org/10.1007/978-1-349-11035-3incompleteness of information. Soft modeling approaches are specifically developed to handle such cases and thus have a high potential to the establishment of more effective and close to reality models. Computational intelligence methods are complemented with other approaches such as qualitative rea作者: oblique 時間: 2025-3-29 22:27 作者: PRO 時間: 2025-3-30 02:45
https://doi.org/10.1057/9780230285927ips with others. As a result, different organizations consider different aspects when assessing the trust level of other organizations. Thus a number of complex aspects must be addressed to comprehensively cover the trust objectives of organizations which in turn make it difficult to model and analy作者: neolith 時間: 2025-3-30 05:10 作者: bisphosphonate 時間: 2025-3-30 09:06
https://doi.org/10.1057/9781137523587ve network. Bayesian belief networks and Rough Sets are examples of modeling approaches that can be used in these cases. The use of these approaches depends on the type of collaborative network considered, namely long term or goal oriented, and on the available data necessary to perform the assessme作者: 天賦 時間: 2025-3-30 12:36 作者: 樹木中 時間: 2025-3-30 19:21 作者: 熱心 時間: 2025-3-30 20:56
978-1-4419-4638-6Springer-Verlag US 2008作者: fluffy 時間: 2025-3-31 01:27
Siobhan Keenan,Dominic Shellardave suffered from ad-hoc approaches, being urgent to establish a proper theoretical foundation for the area. Furthermore, the fast developments in the area and the nature of the paradigm configure the emergence of a new discipline, which needs to be built on a sounder theoretical basis.作者: Exposition 時間: 2025-3-31 05:46
https://doi.org/10.1057/9780230597167unication among researchers and practitioners involved in the area, and thus contributing to its smooth development and evolution. This section offers a contribution to the elaboration of a comprehensive reference model for CNs.作者: 一小塊 時間: 2025-3-31 10:09
https://doi.org/10.1057/9780230379442 perspectives of collaborative networks, are collected and defined. Such collection represents a first proposal for a reference model for collaborative networks. The establishment of a recognized reference model is certainly a long-term activity of which this work represents a first step.作者: chlorosis 時間: 2025-3-31 16:01
https://doi.org/10.1007/978-1-349-11035-3incompleteness of information. Soft modeling approaches are specifically developed to handle such cases and thus have a high potential to the establishment of more effective and close to reality models. Computational intelligence methods are complemented with other approaches such as qualitative reasoning, complexity theories, chaos theory, etc.作者: instructive 時間: 2025-3-31 19:38
Luis M. Camarinha-Matos,Hamideh AfsarmaneshEstablishes a theoretical foundation for Collaborative Networks.Emphasis on modeling multiple facets of collaborative networks.Valuable reference for researchers and practitioners alike.Includes suppl作者: RECUR 時間: 2025-3-31 23:19 作者: PALSY 時間: 2025-4-1 05:43 作者: 血友病 時間: 2025-4-1 09:22
