Muutke küpsiste eelistusi

E-raamat: How Ants Build Pyramids: The Concept of Task/Technology Fit in Crowdsourcing

Teised raamatud teemal:
  • Formaat - PDF+DRM
  • Hind: 55,56 €*
  • * 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.
How Ants Build Pyramids: The Concept of Task/Technology Fit in CrowdsourcingSuurem pilt
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. 

The Concept of Task/Technology Fit in Crowdsourcing

Karl R. Rabes explores the performance impact of differing task designs in crowdsourcing, especially micro-task markets. Based on several exploratory literature reviews, the manuscript applies the task-technology fit theory and numerous quasi-experiments to show which tasks can be successfully outsourced to the crowd. It is revealed how a tasks design has an influence on solution quality taking into account respective task-, technology- and individual characteristics, and clearly delineates the differences in objective quality and subjective fit evaluations within and between task designs for micro-task markets.

Part I Describing the Pyramid - Introduction
1(16)
1 What to Describe?
3(3)
2 The Research Gap
6(1)
3 Research Question
7(1)
4 Research Contribution
8(2)
5 Research Structure
10(4)
6 Setting the Idea Forth
14(3)
Part II Delineating the Pyramid - Stage Setting
17(18)
7 What to Define?
19(3)
8 Definition of Crowdsourcing
22(7)
8.1 Collective Intelligence
25(1)
8.2 Open Innovation
26(2)
8.3 Open Source
28(1)
9 Delineation
29(5)
9.1 The Crowd
32(1)
9.2 The Initiator
32(1)
9.3 The Process
33(1)
10 Summary
34(1)
Part III The First Side of the Pyramid - Micro-Task Markets
35(16)
11 What to Define?
37(1)
12 Definition of Micro-Task Markets
37(6)
12.1 Motivation
40(1)
12.2 Quality
41(1)
12.3 Challenges
42(1)
13 Delineation
43(6)
13.1 The Mechanical Turk
45(1)
13.2 The Tasks
46(2)
13.3 The Remuneration
48(1)
14 Summary
49(2)
Part IV The Second Side of the Pyramid - Task-Technology Fit
51(14)
15 What to Define?
53(1)
16 Definition of Task-Technology Fit
53(4)
16.1 Structural Contingency Theory
55(1)
16.2 Cognitive Cost/Benefit Research
56(1)
16.3 Technology Acceptance Model
56(1)
17 Delineation
57(5)
17.1 The Task Attribute
58(1)
17.2 The Technology Attribute
59(1)
17.3 The Individual Attribute
59(1)
17.4 The Fit Attribute
59(1)
17.5 The Performance Attribute
60(1)
17.6 The User Evaluation Attribute
60(2)
18 Summary
62(3)
Part V The Third Side of the Pyramid - Task Complexity
65(10)
19 What to Define?
67(1)
20 Definition of Tasks
68(4)
20.1 Task Types
69(2)
20.2 Task Formulations
71(1)
21 Summary
72(3)
Part VI Combining the Sides - Research Design
75(22)
22 What to Combine?
77(1)
23 Research Design
77(5)
23.1 Research Question
78(1)
23.2 Research Field
79(1)
23.3 Research Object
80(1)
23.4 Theoretical Underpinning
81(1)
24 Methods
82(14)
24.1 The Experiments
83(6)
24.2 The Survey
89(3)
24.3 The Procedure
92(4)
25 Summary
96(1)
Part VII Discovering the Pyramid Results
97(42)
26 What to Discover?
99(1)
27 The Statistical Analyses
99(35)
27.1 Simple Tasks
100(8)
27.2 Problem Tasks
108(9)
27.3 Decision Tasks
117(8)
27.4 Judgement Tasks
125(9)
28 Limitations
134(1)
29 Summary
135(4)
Part VIII Declaring the Pyramid - Conclusion
139(12)
30 Synopsis
141(1)
31 Theoretical Implications
142(5)
32 Managerial Implications
147(4)
References 151
Karl R. Rabes is a founder and project manager at the Friedrich-Alexander-University Erlangen-Nuremberg. He received his PhD in economic sciences from Prof. Dr. Kathrin M. Möslein at the Department of Information Systems, Chair of Information Systems 1 Innovation & Value Creation. As a consultant he supported several major German and international companies in the planning, execution and controlling of R&D projects.
Lisainfo e-raamatute kohta Lisainfo e-raamatute kohta
Püsilink: https://www.kriso.ee/db/97836582743992e.html