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Titlebook: Unleashing the Crowd; Collaborative Soluti Ann Majchrzak,Arvind Malhotra Book 2020 The Editor(s) (if applicable) and The Author(s), under e

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發(fā)表于 2025-3-21 19:36:35 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Unleashing the Crowd
副標題Collaborative Soluti
編輯Ann Majchrzak,Arvind Malhotra
視頻videohttp://file.papertrans.cn/943/942345/942345.mp4
概述Demonstrates how innovative and useful solutions can be generated by crowds of people who spend only minutes, receive minimal financial incentives, use relatively simple technology platforms and have
圖書封面Titlebook: Unleashing the Crowd; Collaborative Soluti Ann Majchrzak,Arvind Malhotra Book 2020 The Editor(s) (if applicable) and The Author(s), under e
描述.This book disrupts the way practitioners and academic scholars think about crowds, crowdsourcing, innovation, and new organizational forms in this emerging period of ubiquitous access to the internet. The authors argue that the current approach to crowdsourcing unnecessarily limits the crowd to offering ideas, locking out those of us with knowledge about a problem.? They use data from 25 case studies of flash crowds — anonymous strangers answering online announcements to participate in a 7-10 day innovation challenge — half of whom were unleashed from the limitations of focusing on ideas.? Yet, these crowds were able to develop new business models, new product lines, and offer useful solutions to global problems in fields as diverse as health care insurance, software development, and societal change. This book, which offers a theory of collective production of innovative solutions explaining the practices that the crowds organically followed, will revolutionize current assumptions about how innovation and crowdsourcing should be managed for commercial as well as societal purposes..
出版日期Book 2020
關(guān)鍵詞open innovation; IT platforms; crowdsourcing; open crowds; virtual collaboration; virtual teams; digital i
版次1
doihttps://doi.org/10.1007/978-3-030-25557-2
isbn_softcover978-3-030-25556-5
isbn_ebook978-3-030-25557-2
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerl
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發(fā)表于 2025-3-21 22:14:20 | 只看該作者
el information and spatial information of the spectral CT image of the liver, the characteristics of the image are selected. Using the improved Clustering Using Representatives (CURE) unsupervised clustering algorithm to cluster the image features to automatically identify liver tumors, not only doe
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發(fā)表于 2025-3-22 09:27:15 | 只看該作者
Firstly, the RGB images and their corresponding depth images collected by the sensor were used for real-time pose estimation and dense point cloud map reconstruction based on ORB-SLAM (Simultaneous Localization And Mapping system based on the ORiented BRIEF feature). With the attitude angle data fr
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發(fā)表于 2025-3-22 16:39:33 | 只看該作者
Ann Majchrzak,Arvind Malhotraalue consists of offline furnace temperature calculation and online dynamic compensation. In this paper, it is proposed a set value model that computed furnace temperature online. This online model regarded the deviation between the desired and the realized final slab temperature profiles as restric
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發(fā)表于 2025-3-22 20:00:31 | 只看該作者
Ann Majchrzak,Arvind Malhotraof the CNC machine tool electrical system, the Petri net and fuzzy reasoning are combined to establish the fuzzy Petri net model of the CNC machine tool electrical system. Describes the relationship between CNC machine faults. The fuzzy generation rule is represented by FPN. The fault diagnosis rule
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發(fā)表于 2025-3-23 00:58:04 | 只看該作者
Ann Majchrzak,Arvind Malhotraplex system, the layer fracture of the material is easy to occur in the reverse stretching stage. In order to study the movement behavior and law of metal material under strong impact loading, the free surface particle velocity and the movement process of the sample surface with time were obtained b
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發(fā)表于 2025-3-23 05:00:46 | 只看該作者
Ann Majchrzak,Arvind Malhotraith the input-to-state stability property. The multi-agent system is assumed to contain a single leader, and we consider the following three cases. 1) The leader’s input is pre-given and known by all following agents. 2) The leader’s input is unknown. 3) The leader’s input is measurable online and t
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