標(biāo)題: Titlebook: Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Net; Gülay Canbalo?lu,Jan Treur,Anna Wiew [打印本頁] 作者: sesamoiditis 時間: 2025-3-21 18:56
書目名稱Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Net影響因子(影響力)
書目名稱Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Net影響因子(影響力)學(xué)科排名
書目名稱Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Net網(wǎng)絡(luò)公開度
書目名稱Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Net網(wǎng)絡(luò)公開度學(xué)科排名
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書目名稱Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Net讀者反饋
書目名稱Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Net讀者反饋學(xué)科排名
作者: 侵害 時間: 2025-3-21 21:33 作者: 兩種語言 時間: 2025-3-22 03:17 作者: 總 時間: 2025-3-22 05:53 作者: 偽書 時間: 2025-3-22 12:40 作者: 大炮 時間: 2025-3-22 13:32
Using Self-modeling Networks to Model Organisational Learningg individual mental models (and making them explicit), a basis for formation of shared mental models for the level of the organisation is created, which after its formation can then be adopted by individuals. This provides mechanisms for organisational learning. These mechanisms have been used as a 作者: 大炮 時間: 2025-3-22 19:30
Organisational Learning and Usage of Mental Models for a Team of Match Officials: A Second-Order Adaearning in team-related performances. The chapter describes the value of using shared mental models to illustrate the concept of organisational learning, and factors that influence team performances by using the analogy of a team of match officials during a game of football and show their behavior i作者: Vulvodynia 時間: 2025-3-22 23:10
Heuristic Context-Sensitive Control of Mental Model Aggregation for Multilevel Organisational Learnicess. This aggregation process usually does not only depend on the mental models used as input for it, but also on several context factors that may vary over circumstances and time. This means that for computational modeling of organisational learning by adaptive networks, where the formation of a s作者: NOVA 時間: 2025-3-23 03:13
Adaptive Mental Model Aggregation in Organisational Learning Using Boolean Propositions of Context F. This aggregation process usually does not only depend on the mental models used as input for it, but also on several context factors that may vary over circumstances and time. This means that for computational modeling of organisational learning the aggregation process better can be modeled as an 作者: Consequence 時間: 2025-3-23 08:33 作者: Accolade 時間: 2025-3-23 11:40 作者: anus928 時間: 2025-3-23 15:05 作者: 啞劇 時間: 2025-3-23 18:43 作者: 臭名昭著 時間: 2025-3-23 22:34 作者: 無能力 時間: 2025-3-24 05:35
https://doi.org/10.1007/978-3-642-68093-9deled at a second-order self-model level. Therefore, for adaptation of aggregation of mental models in particular, a second-order adaptive self-modeling network model for organisational learning can be used. In this chapter it is shown how in such a network model at the second-order self-model level作者: Perceive 時間: 2025-3-24 08:55
Heuristic Context-Sensitive Control of Mental Model Aggregation for Multilevel Organisational Learniopriate manner at a first-order adaptive self-model level, whereas the control over such processes can be modeled at a second-order adaptive self-model level. In this chapter it is shown how by a second-order self-model in such a network, context-rich knowledge can be specified that is used to contr作者: 極力證明 時間: 2025-3-24 10:50 作者: 北京人起源 時間: 2025-3-24 17:49
2198-4182 models by specifying them in a conceptualmanner at a high level of abstraction in a standard table format, withoutany need of algorithmic specification or programming.?..This modeling approachallows to model t978-3-031-28737-4978-3-031-28735-0Series ISSN 2198-4182 Series E-ISSN 2198-4190 作者: 挖掘 時間: 2025-3-24 21:54 作者: keloid 時間: 2025-3-25 01:36 作者: WAX 時間: 2025-3-25 03:35 作者: 華而不實(shí) 時間: 2025-3-25 09:30 作者: 思想靈活 時間: 2025-3-25 13:32
https://doi.org/10.1007/978-3-7643-8710-5f learning mechanisms that can either promote or restrict the transfer of learning between the levels. This chapter introduces the reader to the notion of organisational learning and multilevel learning. It explains complexities of the learning processes within organisations and mechanisms that trig作者: definition 時間: 2025-3-25 18:43 作者: FEMUR 時間: 2025-3-25 22:21
, History of the Suizhou Meteorite,adaptation. Metacognition is applied to control use and adaptating in a context-sensitive manner. In this chapter, a second-order adaptive network model for handling mental models, covering their use, adaptation and control, is discussed and used to illustrate these processes.作者: 評論者 時間: 2025-3-26 02:55
Interaktionsprobleme mit Suizidentenea of organisational learning. It is discussed how various conceptual mechanisms in multilevel organisational learning as identified in the literature, can be formalised by computational mechanisms which provide mathematical formalisations that enable computer simulation. The formalisations have bee作者: Occipital-Lobe 時間: 2025-3-26 08:02 作者: 半球 時間: 2025-3-26 09:57
Interaktionsprobleme mit Suizidentenearning in team-related performances. The chapter describes the value of using shared mental models to illustrate the concept of organisational learning, and factors that influence team performances by using the analogy of a team of match officials during a game of football and show their behavior i作者: Anticoagulant 時間: 2025-3-26 13:14 作者: Eructation 時間: 2025-3-26 19:22
https://doi.org/10.1007/978-3-642-68093-9. This aggregation process usually does not only depend on the mental models used as input for it, but also on several context factors that may vary over circumstances and time. This means that for computational modeling of organisational learning the aggregation process better can be modeled as an 作者: 邊緣帶來墨水 時間: 2025-3-27 00:56
Betreuungsmodelle für Suizidgef?hrdete the role of the leadership style in influencing feed forward learning flows. It addresses a realistic case study with focus on the role of managers for control of multilevel organisational learning. To this end a second-order adaptive self-modeling network model is introduced and an example simulat作者: 有效 時間: 2025-3-27 03:36
https://doi.org/10.1007/978-3-642-72480-0plicability for a real-world case of a project-based organisation. The modeling approach was able to successfully address this complex case by designing a third-order adaptive network model. Doing this, as a form of further innovation three new features have been added to the modeling approach: reco作者: 禁止,切斷 時間: 2025-3-27 08:00
R. Rubio Herrera,E. Fernandez Lopizis done in combination with multilevel organisational learning as an alternative route, which includes feed forward and feedback learning. The results show that effective communication (triggered by the active team leader, and/or by natural, informal communication), leads to a faster learning proces作者: grounded 時間: 2025-3-27 10:40
https://doi.org/10.1007/978-3-642-68093-9Multilevel organisational learning concerns an interplay of different types of learning at individual, team, and organisational levels. These processes use complex dynamic and adaptive mechanisms. A second-order adaptive network model for this is introduced here and illustrated.作者: Watemelon 時間: 2025-3-27 17:06
A Controlled Adaptive Self-modeling Network Model of Multilevel Organisational Learning for IndividuMultilevel organisational learning concerns an interplay of different types of learning at individual, team, and organisational levels. These processes use complex dynamic and adaptive mechanisms. A second-order adaptive network model for this is introduced here and illustrated.作者: 細(xì)胞學(xué) 時間: 2025-3-27 20:57 作者: SLAY 時間: 2025-3-27 22:42 作者: chisel 時間: 2025-3-28 05:25
Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Net978-3-031-28735-0Series ISSN 2198-4182 Series E-ISSN 2198-4190 作者: infelicitous 時間: 2025-3-28 10:13
, History of the Suizhou Meteorite,adaptation. Metacognition is applied to control use and adaptating in a context-sensitive manner. In this chapter, a second-order adaptive network model for handling mental models, covering their use, adaptation and control, is discussed and used to illustrate these processes.作者: Mucosa 時間: 2025-3-28 13:55
Betreuungsmodelle für Suizidgef?hrdete the role of the leadership style in influencing feed forward learning flows. It addresses a realistic case study with focus on the role of managers for control of multilevel organisational learning. To this end a second-order adaptive self-modeling network model is introduced and an example simulation for the case study is discussed.作者: Hearten 時間: 2025-3-28 14:56 作者: 隱士 時間: 2025-3-28 20:06 作者: Schlemms-Canal 時間: 2025-3-29 02:45 作者: 神化怪物 時間: 2025-3-29 06:40 作者: Duodenitis 時間: 2025-3-29 09:27 作者: 拋射物 時間: 2025-3-29 15:19 作者: 配偶 時間: 2025-3-29 15:56
https://doi.org/10.1007/978-3-7643-8710-5ger learning processes, identified in the literature. The remaining of the chapter discusses how computational modeling of multilevel organisational learning can be used to test and build theories, and to provide useful practical contributions for managers and decision makers.作者: Torrid 時間: 2025-3-29 22:41 作者: IVORY 時間: 2025-3-29 23:55
