REFLECTIONS ON THE 2022 AMR DECADE AWARD: CROWDSOURCING AS A SOLUTION TO DISTANT SEARCH

被引:5
作者
Afuah, Allan [1 ]
Tucci, Christopher L. [2 ]
机构
[1] Univ Michigan, Michigan, MI 48109 USA
[2] Imperial Coll London, Digital Strategy & Innovat, London, England
关键词
OPEN INNOVATION; ARTIFICIAL-INTELLIGENCE; COMPLEMENTARY ASSETS; CAPABILITIES; PERFORMANCE; COMMUNICATION; GOVERNANCE; KNOWLEDGE; IDEAS; MODEL;
D O I
10.5465/amr.2023.0202
中图分类号
F [经济];
学科分类号
02 ;
摘要
Since we wrote "Crowdsourcing as a solution to distant search" a decade ago, enthusi-asm for crowdsourcing's capacity to produce remarkable solutions to some problems has continued to grow, and profiting from crowdsourced solutions has become a strate-gic goal for more and more firms. Crowdsourcing research has progressed impressively, with more progress made in researching the phenomenon than in theorizing about it. We are deeply honored by the 2022 Decade Award. In this manuscript, we reflect on the factors that led to this progress in crowdsourcing research, and how the theoretical insights from our paper--e.g., markets in the hierarchies-markets dichotomy are made up of markets with ex ante contracts and crowdsourcing (markets with no ex ante con-tracts)--may have influenced that progress. Also, because profits have become the ultimate goal of a large number of the seekers of solutions through crowdsourcing, we present an outline of a framework for exploring the impact of crowdsourcing on a seeker's profitability. The framework builds on insights from the paper and new constructs in crowdsourcing such as artificial intelligence (AI), the crowdsourcing process, revenue models, complementary assets, and organizing to minimize crowdsourcing disadvan-tages that we have added. We conclude with suggestions for future research.
引用
收藏
页码:597 / 610
页数:14
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