دانلود رایگان مقاله لاتین توانمند سازی هوش جمعی از سایت الزویر


عنوان فارسی مقاله:

توانمند سازی هوش جمعی: نحوه طراحی و مدیریت مدل های کسب و کار مبتنی بر جمعیت


عنوان انگلیسی مقاله:

Leveraging collective intelligence: How to design and manage crowd-based business models


سال انتشار : 2016



برای دانلود رایگان مقاله توانمند سازی هوش جمعی اینجا کلیک نمایید.





بخشی از مقاله انگلیسی:


2.1. Strategic objectives 

The firm’s strategic objectives are the first key factors in determining the size of the crowd. A growth-oriented venture aiming to grow its content supply rapidly can benefit greatly from attracting as many content creators as possible. Strategy scholars have shown that firms operating in markets with strong positive network effects can create a competitive advantage through differentiation by building a larger contributor network than competitors (Eisenmann, Parker, & van Alstyne, 2006). Conversely, a company that intends to pursue a differentiation strategy by developing a library of high quality content for a small niche market will prioritize quality over quantity and thus would benefit from limiting access to its platform. 2.2. Cost of crowd creation Creating a crowd requires a deliberate acquisition process. Particularly for more specialized tasks, firms need to approach the task of crowd creation in a way similar to their customer acquisition process. Access to potential crowd members is limited and in demand. Thus, to compete in the market for members of a specific crowd, firms have to acquire them through marketing activities (Choi & Lee, 2016). Generally, as the crowd tasks become more specialized, the acquisition costs will increase. However, the cost can change significantly overtime with changes in the supply and demand of a particular type of crowd. Also, established platforms can often decrease the costs of contributor acquisition over time due to strong branding, scale economies in acquisition strategies, and word-of-mouth dynamics from existing contributors. Hence, managers are encouraged to measure the cost of acquiring additional crowd members continuously. 2.3. Distribution of value creation among contributors Not all crowd members create equal value to the firm. In large crowds, the Pareto rule of 80/20 often finds empiric evidence. For the crowdsourcing context, the heuristic suggests that 20% of contributors often create 80% of the value. For instance, a study on crowdsourced science projects–—involving volunteers for ‘citizen science’–—reported that only a small group of individuals was responsible for the majority of contributions and most participants did not contribute in any significant way (Franzoni & Sauermann, 2014). Yet, the value of a crowd member’s contribution quality can change over time. Pioneering contributors, on the other hand, show high commitment to the platform and become more experienced over time; these participants can create a series of high-value contributions. Conversely, empiric insights into crowd-based innovation communities have shown that crowd members tend to contribute less valuable ideas over time because their creative thinking is often tied to their successful contributions from the past (Bayus, 2013). To assess these opposing effects, managers should monitor the net contribution of different crowd cohorts over time. This will determine whether the firm should keep on acquiring new crowd members.



برای دانلود رایگان مقاله توانمند سازی هوش جمعی اینجا کلیک نمایید.






کلمات کلیدی:

opportunities (and threats) that are part of the ever. Leveraging Collective Intelligence in Recommender System https://conservancy.umn.edu/handle/11299/182725 by S Chang - ‎2016 - ‎Related articles Recommender systems, since their introduction 20 years ago, have been widely deployed in web services to alleviate user information overload. Driven by ... Leveraging The Collective Intelligence Of Your Organization https://thefutureorganization.com/leveraging-collective-wisdom/ Feb 16, 2016 - Can your organization leverage the collective intelligence and wisdom of its employees? An organization can use the wisdom of crowds if it has ... Leveraging collective intelligence for behavioral prediction in signed ... https://www.springerprofessional.de/.../leveraging-collective-intelligence...-/12268614 May 5, 2017 - The proliferation of the social Web due to increased user participation poses a challenge as well as presents an opportunity to examine the. Leveraging Collective Intelligence in Participatory Design Research ... https://curve.carleton.ca › Theses and Dissertations Design is in the midst of undergoing significant changes in its potential to engage large crowds of people using information and communications technology ...