Muutke küpsiste eelistusi

E-raamat: Creating and Capturing Value through Crowdsourcing

Edited by (Dean of the College of Management of Technology, Ecole Polytechnique Fédérale de Lausanne), Edited by (Research Fellow, Chair o), Edited by (Professor of Corporate Strategy and International Business, Ross School of Business at the University of Michigan)
  • Formaat: 336 pages
  • Ilmumisaeg: 16-Mar-2018
  • Kirjastus: Oxford University Press
  • Keel: eng
  • ISBN-13: 9780192548207
Teised raamatud teemal:
  • Formaat - EPUB+DRM
  • Hind: 94,42 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
  • Formaat: 336 pages
  • Ilmumisaeg: 16-Mar-2018
  • Kirjastus: Oxford University Press
  • Keel: eng
  • ISBN-13: 9780192548207
Teised raamatud teemal:

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

Examples of the value that can be created and captured through crowdsourcing go back to at least 1714 when the UK used crowdsourcing to solve the Longitude Problem, obtaining a solution that would enable the UK to become the dominant maritime force of its time. Today, Wikipedia uses crowds to provide entries for the world's largest and free encyclopedia. Partly fueled by the value that can be created and captured through crowdsourcing, interest in researching the phenomenon has been remarkable.

Despite this - or perhaps because of it - research into crowdsourcing has been conducted in different research silos, within the fields of management (from strategy to finance to operations to information systems), biology, communications, computer science, economics, political science, among others. In these silos, crowdsourcing takes names such as broadcast search, innovation tournaments, crowdfunding, community innovation, distributed innovation, collective intelligence, open source, crowdpower, and even open innovation. This book aims to assemble chapters from many of these silos, since the ultimate potential of crowdsourcing research is likely to be attained only by bridging them. Chapters provide a systematic overview of the research on crowdsourcing from different fields based on a more encompassing definition of the concept, its difference for innovation, and its value for both private and public sector.
List of Figures and Tables
xv
List of Contributors
xvii
1 Introduction to Creating and Capturing Value Through Crowdsourcing
1(10)
Christopher L. Tucci
Allan Afuah
Gianluigi Viscusi
Introduction
1(5)
Conclusions and Future Research Directions
6(5)
PART I CROWDSOURCING: FUNDAMENTALS AND THE ROLE OF CROWDS AND COMMUNITIES
2 Crowdsourcing: A Primer and Research Framework
11(28)
Allan Afuah
Introduction
11(10)
Types of Crowdsourcing
13(1)
The Crowdsourcing Process
14(1)
Theoretical Rationale Behind Crowdsourcing
14(1)
Internal Versus External Crowdsourcing
15(1)
The Relationship Between Open Innovation and Crowdsourcing
16(1)
Advantages of Crowdsourcing
17(2)
Disadvantages of Crowdsourcing
19(1)
Why the Interest in Crowdsourcing?
20(1)
A Conceptual Framework for Identifying and Exploring Theoretically Interesting Crowdsourcing Questions
21(10)
Value Created and/or Captured during Crowdsourcing
21(1)
Seeker Organization's Attributes
22(2)
Crowd Attributes
24(2)
Problem Attributes
26(1)
Moderating Effect of Crowdsourcing Strategy
27(1)
Moderating Effect of Meso Environment
28(1)
Moderating Effect of Macro-Environmental Factors
29(2)
Conclusions and Future Research
31(8)
3 Three's a Crowd?
39(19)
Gianluigi Viscusi
Christopher L. Tucci
Introduction
39(2)
Online Distributed Innovation: A Crowd is not a Group
41(4)
Crowd as a Solution to Distant Search: When is the Right Time?
45(1)
Ideas Come Next: The Rise of Crowd-Driven Entrepreneurship
46(2)
Key Questions for the Crowd-Oriented Organization
48(3)
Conclusions and Future Research
51(7)
4 How Firms Leverage Crowds and Communities for Open Innovation
58(39)
Joel West
Jonathan Sims
Introduction
58(3)
Communities, Crowds, and Collaboration
61(12)
Communities
61(4)
Crowds
65(5)
Hybrid Crowds: When Crowds are Like Communities
70(3)
Motivating Network Collaborators
73(5)
Structural Forms of Participation Architecture
73(1)
How Firms Tap into Motivation
74(2)
Intrinsic Motivations Driving Participation in Communities and Crowds
76(1)
Extrinsic Motivations Driving Participation in Communities and Crowds
77(1)
Degrees of Collaborative Innovativeness
78(4)
Direct Contributions to Open Innovation
78(2)
Indirect Contributions to Open Innovation
80(1)
Contributions Beyond Innovations
81(1)
Discussion, Conclusions, and Future Research
82(5)
Contribution
83(1)
Future Research
83(4)
Conclusion
87(10)
5 The Road to Crowdfunding Success: A Review of the Extant Literature
97(30)
Vincenzo Buttice
Chiara Franzoni
Cristina Rossi-Lamastra
Paola Rovelli
Introduction
97(2)
Crowdfunding: Its Features and Definitions
99(4)
Achieving Crowdfunding Success
103(8)
The Main Features of a Crowdfunding Campaign
105(3)
Fundraiser Motivations and Characteristics
108(3)
The Role of Crowdfunders
111(4)
Fundraiser-Crowdfunder Interactions
113(2)
Conclusions and Future Research
115(12)
PART II TOURNAMENT-BASED CROWDSOURCING
6 A Problem in the Making: How Firms Formulate Sharable Problems for Open Innovation Contests
127(27)
Martin W. Wallin
Georg von Krogh
Jan Henrik Sieg
Introduction
127(2)
Literature Review
129(3)
Innovation Contests
129(1)
Cognizing Problems or Constructing Problems?
130(2)
Research Design
132(2)
Research Setting and Case Selection
132(1)
Data Collection
133(1)
Findings
134(9)
Towards a Framework for Formulating Sharable Problems for Innovation Contests
134(1)
Generative Process Elements in Formulating Sharable Problems
135(6)
Theoretical Replications of Unsuccessful Cases
141(2)
Discussion, Conclusions, and Future Research
143(4)
Implications for Crowdsourcing
143(1)
Implications for Open Innovation
144(2)
Implications for Innovation Intermediation
146(1)
Limitations and Future Research
146(1)
Conclusion
147(7)
7 The Role of Information Patterns in Designing Crowdsourcing Contests
154(27)
Gireeja V. Ranade
Lav R. Varshney
Introduction
154(3)
Previous Work
157(1)
Contributions and Main Results
158(2)
Multiple Tasks and Multiple Workers
159(1)
Taxonomy
160(1)
Crowdsourcing Contests as All-Pay Auctions
160(1)
The Model
161(2)
Complete Information Case
161(1)
Asymmetric Information Case
162(1)
A Taxonomy of Tasks
163(2)
Crowdsourcing Versus Assignment
165(9)
Crowdsourcing a Single Task
166(4)
Crowdsourcing Multiple Tasks
170(4)
Conclusions and Future Research
174(7)
PART III COLLABORATION-BASED CROWDSOURCING
8 Renegotiating Public Value with Co-Production
181(23)
Antonio Cordelia
Andrea Paletti
Maha Shaikh
Introduction
181(2)
Value Creation in the Public Sector
183(1)
Bureaucracy and Value Creation
183(2)
Bureaucracy and Public Value
185(4)
Public Value: Beyond Bureaucracy
187(2)
Co-Production: New Modes of Value
189(4)
Co-Production and in the Public Sector: A New Value Generating Proposition
193(3)
How Can Public Administration Benefit from Co-Production and Crowdsourcing to Better Produce Public Value?
196(1)
Conclusions and Future Research
197(7)
9 Tapping into Diversity Through Open Innovation Platforms: The Emergence of Boundary-Spanning Practices
204(32)
Natalia Levina
Anne-Laure Fayard
Introduction
204(3)
Background Literature
207(7)
Boundary Spanning in Organizations
208(3)
Management Consultants as Knowledge Brokers
211(1)
Collaborative Production in Online Communities
212(1)
Crowdsourcing for Innovation
213(1)
Methods and Research Settings
214(3)
Research Sites
214(3)
Findings
217(9)
Case: DC.com
217(5)
Case: Gamma
222(4)
Discussion
226(4)
Boundary Spanning with Clients
227(1)
Online Collaboration Practices for External Consumption
228(2)
Conclusions and Future Research
230(6)
10 Co-Creation from a Telecommunication Provider's Perspective: A Comparative Study on Innovation with Customers and Employees
236(35)
Milica Sundic
Karl-Heinz Leitner
Introduction
237(1)
Towards Open Innovation
238(3)
The Rise of Openness and Co-Creation
238(1)
Open Innovation in Firms
239(2)
Business Model Innovation
241(1)
Innovation with Crowds
241(7)
Innovation Communities
241(2)
Super Users
243(1)
Intra-Corporate Crowdsourcing
244(1)
Risks of Openness and Crowd Involvement
245(3)
Case Study
248(7)
Research Framework and Questions
248(1)
Three Co-Creation Approaches from an Austrian Telecommunication Provider
249(6)
Results
255(5)
Commercial Feasibility of Ideas
255(1)
User Participation and Behavior
256(3)
Social Media Tools for Communities
259(1)
Discussion
260(2)
Open Co-Creation with Customers
260(1)
Semi-Open Co-Creation with Employees
261(1)
Closed Offline Co-Creation
262(1)
Conclusions and Future Research
262(9)
PART IV HYBRIDS: TOURNAMENT-BASED AND COLLABORATION-BASED CROWDSOURCING
11 Co-opetition in Crowdsourcing: When Simultaneous Cooperation and Competition Deliver Superior Solutions
271(21)
Allan Afuah
Introduction
271(2)
Background Literature: Co-opetition and Why Crowdsourcing
273(3)
Traditional Co-opetition
274(1)
Crowdsourcing Co-opetition
275(1)
Why Crowdsource a Problem?
276(1)
Framework for Exploring the Impact of Co-opetition on Crowdsourcing Performance
276(10)
Problem Decomposability
278(1)
Competition by Solvers: Tournament-Based Crowdsourcing
278(1)
Moderating Role of Cooperation to Reduce Frictions
279(5)
Cooperation by Solvers: Collaboration-Based Crowdsourcing
284(1)
Moderating Role of Competition to Reduce Problem Module Solution Inefficiency
285(1)
Conclusions and Future Research
286(6)
12 Prediction Markets For Crowdsourcing
292(18)
Christian Horn
Marcel Bogers
Alexander Brem
Introduction
292(2)
Crowdsourcing for Knowledge in Innovation Management
294(1)
Prediction Markets and Crowdsourcing
295(3)
Empirical Analysis: Case and Methodology
298(5)
Empirical Studies
298(5)
Conclusions and Future Research
303(7)
13 Ethics in Crowdsourcing: Revisiting and Revising the Role of Stakeholder Theory
310(25)
Daniel Curto-Millet
Arsalan Nisar
Introduction
310(4)
What is Crowdsourcing?
311(2)
Locus of Control
313(1)
Core Concepts of Stakeholder Theory
314(3)
A De-Centralized View of the Firm
314(2)
Holistic Analysis and Guidance
316(1)
In Pursuit of Identity
316(1)
The Applicability of Stakeholder Theory for Crowdsourcing
317(5)
Challenging Traditional Notions of the Firm
318(1)
Complex Ownership Rules
319(2)
Evolving Stakeholder Identities
321(1)
Challenges: Stakeholder Theory and Crowdsourcing
322(4)
Uncertainty of Roles
323(1)
Novel Notions of Rights Ownership
324(2)
Conclusions and Future Research
326(9)
Index 335
Christopher L. Tucci is Professor of Management of Technology at the Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland, where he holds the Chair in Corporate Strategy & Innovation. He received the Ph.D. in Management from the Sloan School of Management at the Massachusetts Institute of Technology. Before going back for his PhD, his prior work experience was as an industrial computer scientist at Ford Aerospace, where he was involved in developing Internet protocols in the 1980s. Tucci's primary area of interest is in technological change and how waves of technological changes influence entrant / incumbent dynamics. He is the co-author of the books Nurturing Science-Based Ventures and Internet Business Models and Strategies, and has published articles in, among others, Academy of Management Review, Strategic Management Journal, Management Science, IEEE Transactions on Engineering Management, Research Policy, and Communications of the ACM.



Allan Afuah is Professor of Corporate Strategy and International Business at the Ross School of Business at the University of Michigan. He received his PhD from MIT. His honors include the 1999 MBA Teacher of the Year at Michigan. His 2012 article 'Crowdsourcing as solution to distant search' (co-authored with Christopher Tucci) won the 2013 AMR Best Paper Award. His books, Innovation Management: Strategies, Implementation, and Profits, (Oxford University Press) and Internet Business Models (co-authored with Christopher Tucci, McGrawHill) have been translated into several languages. His research has been published in the Academy of Management Journal, Academy of Management Review, Strategic Management Journal, Journal of Management, Research Policy, Industrial and Corporate Change, IEEE Transactions on Engineering Management, and Sloan Management Review.



Gianluigi Viscusi (PhD) is research fellow at the Chair of Corporate Strategy and Innovation (CSI) of the EPFL. His areas of expertise include information systems strategy and planning, business modeling, public policy and ICT-enabled Innovation, e-Government, information quality and value, service management and engineering, social study of information systems. He has been consultant on e-government planning, policy design, and implementation roadmaps for international organizations such as, e.g., the OECD. His research has been published in a range of books, conference proceedings, and journals such as, Government Information Quarterly. In 2010 he has co-authored with Carlo Batini and Massimo Mecella Information Systems for eGovernment: A quality of service perspective (Springer, Heidelberg).