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Fakultät Wirtschaftswissenschaften | Lehrstuhl für Wirtschaftsinformatik, insbes. Informationsmanagement




              Components and Functions of
                Crowdsourcing Systems

                 A Systematic Literature Review




Lars Hetmank
Dresden, 27.02.2013
Fakultät Wirtschaftswissenschaften | Lehrstuhl für Wirtschaftsinformatik, insbes. Informationsmanagement | Prof. Schoop




Short Vita

• Dipl.-Wirt.-Inf. Lars Hetmank, TU Dresden
• Research interests:
            •    Information and Knowledge Management
            •    Semantic Web and Linked Data
            •    Crowdsourcing
• Affiliations:
            •    Manifesto for a Standard on Knowledge Exchange in
                 Social Knowledge Management Environments
            •    Knowledge Research Center (KRC) e.V. Dresden




28.02.2013                         Components and Functions of Crowdsourcing Systems            Slide 2 / 13
Fakultät Wirtschaftswissenschaften | Lehrstuhl für Wirtschaftsinformatik, insbes. Informationsmanagement | Prof. Schoop




Motivation

Practical relevance:
• development of a crowdsourcing system (CSS) and
   its integration into existing IT infrastructure is
   risky, cost-intensive, and time-consuming,
• structured development process required

Theoretical relevance:
• various theoretical contribution in the area of
  crowdsourcing
• however, little has been investigated to define a
  crowdsourcing system and its technical design
  aspects precisely



2/28/2013                          Components and Functions of Crowdsourcing Systems            Slide 3 / 13
Fakultät Wirtschaftswissenschaften | Lehrstuhl für Wirtschaftsinformatik, insbes. Informationsmanagement | Prof. Schoop




Method: Systematic Literature Review




Research Questions (RQs):

RQ1:           How and in which detail are CSSs defined in current research
               literature? What design aspects do they cover?

RQ2:           What type of components and functions of a CSS can be
               conceptualized?




2/28/2013                          Components and Functions of Crowdsourcing Systems            Slide 4 / 13
Fakultät Wirtschaftswissenschaften | Lehrstuhl für Wirtschaftsinformatik, insbes. Informationsmanagement | Prof. Schoop




Search Strategy #1

• Population: peer-reviewed conference proceedings
  and journal papers in English since 2006;
  dissertations, newspaper articles, unpublished works
  or non-scientific articles were not considered
• Search Resources: ACM Digital Library, Ebscohost
  (Academic Search Complete and Business Source
  Complete), Emerald, IEEE Xplore Digital Library, Sage
  Journals, ScienceDirect, SpringerLink and Wiley
• Search Terms: crowdsourcing system, crowdsourcing
  application, and crowdsourcing platform (in singular
  and plural)



2/28/2013                          Components and Functions of Crowdsourcing Systems            Slide 5 / 13
Fakultät Wirtschaftswissenschaften | Lehrstuhl für Wirtschaftsinformatik, insbes. Informationsmanagement | Prof. Schoop




Search Strategy #2




•     Inclusion criteria:
            •     define or at least propose a description of what CSSs are
                  (RQ 1)
            •     address design issues of CSSs (RQ 2)
            •     or classify or give an overview of CSSs (RQ 2).
•     Exclusion criteria:
            •     use CSSs for evaluation purposes but do not address design
                  issues

2/28/2013                          Components and Functions of Crowdsourcing Systems            Slide 6 / 13
Fakultät Wirtschaftswissenschaften | Lehrstuhl für Wirtschaftsinformatik, insbes. Informationsmanagement | Prof. Schoop




Conduct Search
Step 1:         a) review the abstract, introduction, and conclusion
                b) check inclusion and exclusion criteria
                c) label publication and research type  Relevant studies = 72

  Publication type                                                                                         Research type




Step 2:         a) read article, find and record the definitions of CSS
                b) set keyword for each article to identify components and
                   functions of CSSs
2/28/2013                          Components and Functions of Crowdsourcing Systems            Slide 7 / 13
Fakultät Wirtschaftswissenschaften | Lehrstuhl für Wirtschaftsinformatik, insbes. Informationsmanagement | Prof. Schoop



 Results:                     Crowdsourcing System Definitions
                              (RQ1)
 •    17 definitions or descriptions of the term crowdsourcing
      system, application, or platform
 •    vary in detail and none of them covers all of the four
      derived perspectives

“Crowdsourcing Platform is a trusted broker ensuring that providers
successfully complete the task requests and that requestors pay for the
charges. Crowdsourcing Platform issues authentication credentials for
requestors and providers when they join the platform, stores details about
skill-set, history of completed requests, handles charging and
payments, and manages platform misuse. Crowdsourcing platform can
execute crowdsourcing requests in a number of different modes, by advertising
them on the marketplace, allowing providers to bid for them, or in the form of
a competition, where requestor identifies criteria to be used for selection of the
winning submission. Crowdsourcing platform may further allow requestors and
providers to team-up.” (Vukovic, 2009)


 28.02.2013                         Components and Functions of Crowdsourcing Systems            Slide 8 / 13
Fakultät Wirtschaftswissenschaften | Lehrstuhl für Wirtschaftsinformatik, insbes. Informationsmanagement | Prof. Schoop




Perspectives




                                         iv al
                                      c t on
             mediator,                                                                             detailed actions




                                           e




                                                                                    pr spe
                                    pe t i




                                                                                  pe
                                  rs iza
             marketplace,                                                                          performed to data




                                                                                      oc c
                                                            crowd




                                                                                       r
                                pe a n




                                                                                         es tive
             interface, or                                                                         objects or users

                                   g




                                                                                           s
             trusted broker      or


                                                   broker                crowdsourcing
                                                                            process
                                       requester
                                                              Crowd-
                                                             sourcing
                                       user interface         System               algorithm
                                        history tracking
                                         standardization
                                           payment mechanism
                                             workflow support




                                                                                          iv ic
                                                                                        ct ntr
                                    te rsp




                                                                       social
                                      pe




                                                                                            e
                                                   authentication
                                      c h ec




                                                                                      pe e
                                                                                    rs n- c
                                                                    interaction
                                         ni tiv




                                                            APIs
                                           ca e




                                                                                  pe a
             software                                                                               human

                                                                                     m
                                             l




             components,                                                           hu               brainpower and
             technical functions,                                                                   collective
             or data objects                                                                        intelligence


                              Perspectives of crowdsourcing systems (source: own illustration)

28.02.2013                            Components and Functions of Crowdsourcing Systems                 Slide 9 / 13
Fakultät Wirtschaftswissenschaften | Lehrstuhl für Wirtschaftsinformatik, insbes. Informationsmanagement | Prof. Schoop




Results: Components and Functions (RQ 2)




                      Components and functions of crowdsourcing systems (source: own illustration)




28.02.2013                          Components and Functions of Crowdsourcing Systems                Slide 10 / 13
Fakultät Wirtschaftswissenschaften | Lehrstuhl für Wirtschaftsinformatik, insbes. Informationsmanagement | Prof. Schoop




Conclusion and Next Steps

• development of an integrated CSS definition
• overview of reusable software components
  and functions may be used as a checklist
• dependencies between the elements are not
  well represented
• designing a semantic model to support
  knowledge-intensive crowdsourcing
  activities



28.02.2013                         Components and Functions of Crowdsourcing Systems            Slide 11 / 13
Fakultät Wirtschaftswissenschaften | Lehrstuhl für Wirtschaftsinformatik, insbes. Informationsmanagement | Prof. Schoop




References

(1)    Kitchenham, B.: Guidelines for performing
       Systematic Literature Reviews in Software
       Engineering. (2007).
(2)    Kitchenham, B., Pearl
       Brereton, O., Budgen, D., Turner, M., Bailey, J.,
        Linkman, S.: Systematic literature reviews in
       software engineering – A systematic literature
       review. Information and Software Technology.
       51, 7–15 (2009).
(3)    Brereton, P., Kitchenham, B.
       a., Budgen, D., Turner, M., Khalil, M.: Lessons
       from applying the systematic literature review
       process within the software engineering
       domain. Journal of Systems and Software.
       80, 571–583 (2007).
(4)    Wieringa, R., Maiden, N., Mead, N., Rolland, C.:
       Requirements engineering paper classification
       and evaluation criteria: a proposal and a
       discussion. Requirements Engineering. 11, 102–
       107 (2006).
(5)    Bortz, J., Döring, N.: Forschungsmethoden und
       Evaluation für Human- und
       Sozialwissenschaftler. Springer, Heidelberg
       (2009).
                                                 http://larshetmank.com/documents/wi2013_css_concept_map.pdf


28.02.2013                         Components and Functions of Crowdsourcing Systems            Slide 12 / 13
Fakultät Wirtschaftswissenschaften | Lehrstuhl für Wirtschaftsinformatik, insbes. Informationsmanagement | Prof. Schoop




Contact




                Email: lars@hetmank.de
                Twitter: https://twitter.com/larshetmank


28.02.2013                         Components and Functions of Crowdsourcing Systems            Slide 13 / 13

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Components and Functions of Crowdsourcing Systems – A Systematic Literature Review

  • 1. Fakultät Wirtschaftswissenschaften | Lehrstuhl für Wirtschaftsinformatik, insbes. Informationsmanagement Components and Functions of Crowdsourcing Systems A Systematic Literature Review Lars Hetmank Dresden, 27.02.2013
  • 2. Fakultät Wirtschaftswissenschaften | Lehrstuhl für Wirtschaftsinformatik, insbes. Informationsmanagement | Prof. Schoop Short Vita • Dipl.-Wirt.-Inf. Lars Hetmank, TU Dresden • Research interests: • Information and Knowledge Management • Semantic Web and Linked Data • Crowdsourcing • Affiliations: • Manifesto for a Standard on Knowledge Exchange in Social Knowledge Management Environments • Knowledge Research Center (KRC) e.V. Dresden 28.02.2013 Components and Functions of Crowdsourcing Systems Slide 2 / 13
  • 3. Fakultät Wirtschaftswissenschaften | Lehrstuhl für Wirtschaftsinformatik, insbes. Informationsmanagement | Prof. Schoop Motivation Practical relevance: • development of a crowdsourcing system (CSS) and its integration into existing IT infrastructure is risky, cost-intensive, and time-consuming, • structured development process required Theoretical relevance: • various theoretical contribution in the area of crowdsourcing • however, little has been investigated to define a crowdsourcing system and its technical design aspects precisely 2/28/2013 Components and Functions of Crowdsourcing Systems Slide 3 / 13
  • 4. Fakultät Wirtschaftswissenschaften | Lehrstuhl für Wirtschaftsinformatik, insbes. Informationsmanagement | Prof. Schoop Method: Systematic Literature Review Research Questions (RQs): RQ1: How and in which detail are CSSs defined in current research literature? What design aspects do they cover? RQ2: What type of components and functions of a CSS can be conceptualized? 2/28/2013 Components and Functions of Crowdsourcing Systems Slide 4 / 13
  • 5. Fakultät Wirtschaftswissenschaften | Lehrstuhl für Wirtschaftsinformatik, insbes. Informationsmanagement | Prof. Schoop Search Strategy #1 • Population: peer-reviewed conference proceedings and journal papers in English since 2006; dissertations, newspaper articles, unpublished works or non-scientific articles were not considered • Search Resources: ACM Digital Library, Ebscohost (Academic Search Complete and Business Source Complete), Emerald, IEEE Xplore Digital Library, Sage Journals, ScienceDirect, SpringerLink and Wiley • Search Terms: crowdsourcing system, crowdsourcing application, and crowdsourcing platform (in singular and plural) 2/28/2013 Components and Functions of Crowdsourcing Systems Slide 5 / 13
  • 6. Fakultät Wirtschaftswissenschaften | Lehrstuhl für Wirtschaftsinformatik, insbes. Informationsmanagement | Prof. Schoop Search Strategy #2 • Inclusion criteria: • define or at least propose a description of what CSSs are (RQ 1) • address design issues of CSSs (RQ 2) • or classify or give an overview of CSSs (RQ 2). • Exclusion criteria: • use CSSs for evaluation purposes but do not address design issues 2/28/2013 Components and Functions of Crowdsourcing Systems Slide 6 / 13
  • 7. Fakultät Wirtschaftswissenschaften | Lehrstuhl für Wirtschaftsinformatik, insbes. Informationsmanagement | Prof. Schoop Conduct Search Step 1: a) review the abstract, introduction, and conclusion b) check inclusion and exclusion criteria c) label publication and research type  Relevant studies = 72 Publication type Research type Step 2: a) read article, find and record the definitions of CSS b) set keyword for each article to identify components and functions of CSSs 2/28/2013 Components and Functions of Crowdsourcing Systems Slide 7 / 13
  • 8. Fakultät Wirtschaftswissenschaften | Lehrstuhl für Wirtschaftsinformatik, insbes. Informationsmanagement | Prof. Schoop Results: Crowdsourcing System Definitions (RQ1) • 17 definitions or descriptions of the term crowdsourcing system, application, or platform • vary in detail and none of them covers all of the four derived perspectives “Crowdsourcing Platform is a trusted broker ensuring that providers successfully complete the task requests and that requestors pay for the charges. Crowdsourcing Platform issues authentication credentials for requestors and providers when they join the platform, stores details about skill-set, history of completed requests, handles charging and payments, and manages platform misuse. Crowdsourcing platform can execute crowdsourcing requests in a number of different modes, by advertising them on the marketplace, allowing providers to bid for them, or in the form of a competition, where requestor identifies criteria to be used for selection of the winning submission. Crowdsourcing platform may further allow requestors and providers to team-up.” (Vukovic, 2009) 28.02.2013 Components and Functions of Crowdsourcing Systems Slide 8 / 13
  • 9. Fakultät Wirtschaftswissenschaften | Lehrstuhl für Wirtschaftsinformatik, insbes. Informationsmanagement | Prof. Schoop Perspectives iv al c t on mediator, detailed actions e pr spe pe t i pe rs iza marketplace, performed to data oc c crowd r pe a n es tive interface, or objects or users g s trusted broker or broker crowdsourcing process requester Crowd- sourcing user interface System algorithm history tracking standardization payment mechanism workflow support iv ic ct ntr te rsp social pe e authentication c h ec pe e rs n- c interaction ni tiv APIs ca e pe a software human m l components, hu brainpower and technical functions, collective or data objects intelligence Perspectives of crowdsourcing systems (source: own illustration) 28.02.2013 Components and Functions of Crowdsourcing Systems Slide 9 / 13
  • 10. Fakultät Wirtschaftswissenschaften | Lehrstuhl für Wirtschaftsinformatik, insbes. Informationsmanagement | Prof. Schoop Results: Components and Functions (RQ 2) Components and functions of crowdsourcing systems (source: own illustration) 28.02.2013 Components and Functions of Crowdsourcing Systems Slide 10 / 13
  • 11. Fakultät Wirtschaftswissenschaften | Lehrstuhl für Wirtschaftsinformatik, insbes. Informationsmanagement | Prof. Schoop Conclusion and Next Steps • development of an integrated CSS definition • overview of reusable software components and functions may be used as a checklist • dependencies between the elements are not well represented • designing a semantic model to support knowledge-intensive crowdsourcing activities 28.02.2013 Components and Functions of Crowdsourcing Systems Slide 11 / 13
  • 12. Fakultät Wirtschaftswissenschaften | Lehrstuhl für Wirtschaftsinformatik, insbes. Informationsmanagement | Prof. Schoop References (1) Kitchenham, B.: Guidelines for performing Systematic Literature Reviews in Software Engineering. (2007). (2) Kitchenham, B., Pearl Brereton, O., Budgen, D., Turner, M., Bailey, J., Linkman, S.: Systematic literature reviews in software engineering – A systematic literature review. Information and Software Technology. 51, 7–15 (2009). (3) Brereton, P., Kitchenham, B. a., Budgen, D., Turner, M., Khalil, M.: Lessons from applying the systematic literature review process within the software engineering domain. Journal of Systems and Software. 80, 571–583 (2007). (4) Wieringa, R., Maiden, N., Mead, N., Rolland, C.: Requirements engineering paper classification and evaluation criteria: a proposal and a discussion. Requirements Engineering. 11, 102– 107 (2006). (5) Bortz, J., Döring, N.: Forschungsmethoden und Evaluation für Human- und Sozialwissenschaftler. Springer, Heidelberg (2009). http://larshetmank.com/documents/wi2013_css_concept_map.pdf 28.02.2013 Components and Functions of Crowdsourcing Systems Slide 12 / 13
  • 13. Fakultät Wirtschaftswissenschaften | Lehrstuhl für Wirtschaftsinformatik, insbes. Informationsmanagement | Prof. Schoop Contact Email: lars@hetmank.de Twitter: https://twitter.com/larshetmank 28.02.2013 Components and Functions of Crowdsourcing Systems Slide 13 / 13