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  4. Patterns of Data-Driven Decision-Making: How Decision-Makers Leverage Crowdsourced Data
 
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Patterns of Data-Driven Decision-Making: How Decision-Makers Leverage Crowdsourced Data

Type
conference paper
Date Issued
2019-12-15
Author(s)
Rhyn, Marcel
Blohm, Ivo  
Abstract
Crowdsourcing represents a powerful approach for organizations to collect data from large networks of people. While research already made great strides to develop the technological foundations for processing crowdsourced data, little is known about decision-making patterns that emerge when decision-makers have access to such large amounts of data on people's behavior, opinions, or ideas. In this study, we analyze the characteristics of decision-making in crowdsourcing based on interviews with decision-makers across 10 multinational corporations. For research, we identify four common patterns of decision-making that range from structured and goal-oriented to highly dynamic and data-driven. In this way, we systematize how decision-makers typically source, process, and use crowdsourced data to inform decisions. We also provide an integrated perspective on how different types of decision problems and modes of acquiring information induce such patterns. For practice, we discuss how information systems should be designed to provide adequate support for these patterns.
Funding(s)
Verbindung künstlicher und kollektiver Intelligenz zur Entwicklung skalierbarer Software Testing Lösungen  
CC Crowdsourcing  
Language
English
HSG Classification
contribution to scientific community
HSG Profile Area
SoM - Business Innovation
Event Title
International Conference on Information Systems (ICIS)
Event Location
Munich, Germany
Event Date
15.12.2018-18.12.2018
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/97941
Subject(s)

computer science

information managemen...

business studies

Division(s)

IWI - Institute of In...

Eprints ID
258450
File(s)
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Thumbnail Image

open.access

Name

RhynBlohm_DDDM_2019.pdf

Size

286.7 KB

Format

Adobe PDF

Checksum (MD5)

c22a41018e5a2a1dbed0ee68f3bd5508

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