 Decision Space: Collective IntelligenceChapter Chapter 4 in Crowd-Based Business Models, 2021, pp 101-132 from Springer Abstract: Abstract There are two-way and three-way decision spaces that involve multiple information taxonomy. In the three-way decision spaces, three basic elements: decision measurement, decision conditions, and decision evaluation functions are unified. The major challenges with collective intelligence are the screening, modeling, and measurement of information to make appropriate business decisions. This chapter discusses the ways of collective information decision process by involving the stakeholders and managers. The importance of stakeholder management and business governance in the decision process, interactive planning and governance, value chain management, and the pattern of market competition and growth in the crowd-based business ecosystems have been discussed in this chapter. Business governance, scaling, and performance management have been discussed in this chapter in the context of transformative relationship between data and people, which creates new forms of collective search for solutions and decision-making. This chapter argues that the crowd-based business model has emerged as voluntary open collaboration in the development of creative solutions that mobilizes experience-led paradigms to improve the business performance of global–local firms. Date: 2021 There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-77083-9_4 Ordering information: This item can be ordered from DOI: 10.1007/978-3-030-77083-9_4 Access Statistics for this chapter More chapters in Springer Books from Springer |
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