A Theoretical Model of User Engagement in Crowdsourcing

Social media technology has enabled virtual collaborative environments where people actively interact, share knowledge, coordinate activities, solve problems, co-create value, and innovate. Organizations have begun to leverage approaches and technologies to involve numerous people from outside their boundaries to perform organizational tasks. Despite the success and popularity of this 'crowdsourcing' phenomenon, there appears to be a distinct gap in the literature regarding the empirical evaluation of the factors involved in a crowdsourcing user experience. This paper aims to fill this void by proposing a theoretical model of the antecedents and their relationships for crowdsourcing user engagement. It is defined as the quality of effort online users devote to collaboration activities that contribute directly to desired outcomes. Drawing from research in psychology and IS, we identify three critical elements that precede crowdsourcing user engagement: personal interest in topic, goal clarity, and motivation to contribute. This paper examines the theoretical basis of these variables of interest in detail, derives a causal model of their interrelationships, and identifies future plans for model testing.

[1]  Wanda J. Orlikowski,et al.  The Problem of Statistical Power in MIS Research , 1989, MIS Q..

[2]  P. Kleinginna,et al.  A categorized list of motivation definitions, with a suggestion for a consensual definition , 1981 .

[3]  Edward E. Lawler,et al.  Motivation in Work Organizations , 1975 .

[4]  R. Lerner,et al.  Cognitive, Emotional, and Behavioral Components of Civic Action: Towards an Integrated Measure of Civic Engagement. , 2009 .

[5]  Michael S. Nilan,et al.  Digital Format of Experience Sampling Method - Transformation, Implementation, and Assessment , 1999 .

[6]  E. Bonabeau.  Decisions 2.0: the power of collective intelligence , 2009 .

[7]  Paul van Schaik,et al.  Using on-line surveys to measure three key constructs of the quality of human-computer interaction in web sites: psychometric properties and implications , 2003, Int. J. Hum. Comput. Stud..

[8]  Alon Y. Halevy,et al.  Crowdsourcing systems on the World-Wide Web , 2011, Commun. ACM.

[9]  James Surowiecki.  The wisdom of crowds: Why the many are smarter than the few and how collective wisdom shapes business, economies, societies, and nations Doubleday Books. , 2004 .

[10]  Timothy D. Ludwig,et al.  Employee Engagement and Organizational Behavior Management , 2012 .

[11]  E. Deci,et al.  The general causality orientations scale: Self-determination in personality , 1985 .

[12]  Ulrich Schiefele,et al.  Topic interest, text representation, and quality of experience , 1996 .

[13]  Dana Chandler,et al.  Breaking Monotony with Meaning: Motivation in Crowdsourcing Markets , 2012, ArXiv.

[14]  E. Deci,et al.  Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. , 2000, The American psychologist.

[15]  David Zyngier,et al.  (Re)conceptualising Student Engagement: Doing Education Not Doing Time. , 2008 .

[16]  Mounia Lalmas,et al.  Models of user engagement , 2012, UMAP.

[17]  Landon P. Cox.  Truth in Crowdsourcing , 2011, IEEE Security & Privacy.

[18]  Ulrich Schiefele,et al.  Topic interest and free recall of expository text. , 1996 .

[19]  Michelle Kelly,et al.  Using Think-Alouds to Examine Reader-Text Interest , 1999 .

[20]  Barbara A. Greene,et al.  Identification with academics, intrinsic/extrinsic motivation, and self-efficacy as predictors of cognitive engagement , 2006 .

[21]  Joseph J. Stevens,et al.  The Role of Choice and Interest in Reader Engagement , 2004 .

[22]  Rajiv Kishore,et al.  Rules of Crowdsourcing: Models, Issues, and Systems of Control , 2013, Inf. Syst. Manag..

[23]  Ingrid Anderzén,et al.  Goal clarity as an instrument for improved organizational wellbeing in the Church of Sweden. , 2009, Work.

[24]  B. Schneider,et al.  The Meaning of Employee Engagement , 2008, Industrial and Organizational Psychology.

[25]  Shirley S. Ho,et al.  Muslim surfers on the internet: using the theory of planned behaviour to examine the factors influencing engagement in online religious activities , 2008, New Media Soc..

[26]  Ben Bommert,et al.  Collaborative Innovation in the Public Sector , 2010 .

[27]  Kate Kenski,et al.  America's Youth and Community Engagement , 2006, Commun. Res..

[28]  Marshall Scott Poole,et al.  Antecedents of flow in online shopping: a test of alternative models , 2009, Inf. Syst. J..

[29]  Daren C. Brabham.  Crowdsourcing the Public Participation Process for Planning Projects , 2009 .

[30]  A. Edwards,et al.  Leveraging Crowdsourcing to Facilitate the Discovery of New Medicines , 2011, Science Translational Medicine.

[31]  Gregory Schraw,et al.  Situational Interest: A Review of the Literature and Directions for Future Research , 2001 .

[32]  David Plans Casal,et al.  Crowdsourcing the Corpus: Using Collective Intelligence as a Method for Composition , 2011, Leonardo Music Journal.

[33]  Gert-Jan de Vreede,et al.  Conceptual Foundations of Crowdsourcing: A Review of IS Research , 2013, 2013 46th Hawaii International Conference on System Sciences.

[34]  Paul Belleflamme,et al.  Crowdfunding: Tapping the Right Crowd , 2013, SSRN Electronic Journal.

[35]  Suzanne Hidi,et al.  Interest and Its Contribution as a Mental Resource for Learning , 1990 .

[36]  Patricia A. Alexander,et al.  Learning From Text: A Multidimensional and Developmental Perspective , 2000 .

[37]  Hsiu-Fen Lin,et al.  Understanding Behavioral Intention to Participate in Virtual Communities , 2006, Cyberpsychology Behav. Soc. Netw..

[38]  Jeffrey Heer,et al.  Crowdsourcing graphical perception: using mechanical turk to assess visualization design , 2010, CHI.

[39]  Taewoo Nam,et al.  The Wisdom of Crowds in Government 2.0: Information Paradigm Evolution toward Wiki-Government , 2010, AMCIS.

[40]  Gregory Schraw,et al.  Sources of Situational Interest , 1995 .

[41]  Dahui Li,et al.  Task Design, Motivation, and Participation in Crowdsourcing Contests , 2011, Int. J. Electron. Commer..

[42]  Daren C. Brabham.  Moving the crowd at iStockphoto: The composition of the crowd and motivations for participation in a crowdsourcing application , 2008, First Monday.

[43]  J. Sawyer.  Goal and Process Clarity: Specification of Multiple Constructs of Role Ambiguity and a Structural Equation Model of Their Antecedents and Consequences , 1992 .

[44]  T. Mitchell.  Motivation: New Directions for Theory, Research, and Practice , 1982 .

[45]  Darrel D. Muehling,et al.  The relationship between experimental manipulations and tests of theory in an advertising message , 1993 .

[46]  Virginia A. Fitt.  Crowdsourcing the News: News Organization Liability for Ireporters , 2010 .

[47]  S. Tobias.  Interest, Prior Knowledge, and Learning , 1994 .

[48]  A. Saks.  Antecedents and consequences of employee engagement , 2006 .

[49]  Susan Wiedenbeck,et al.  The mediating effects of intrinsic motivation, ease of use and usefulness perceptions on performance in first-time and subsequent computer users , 2001, Interact. Comput..

[50]  Thomas E. Becker,et al.  Employee commitment and motivation: a conceptual analysis and integrative model. , 2004, The Journal of applied psychology.

[51]  Pam Ad Kleingeld,et al.  Goal‐setting in practice: The effects of personality and perceptions of the goal‐setting process on job satisfaction and goal commitment , 2011 .

[52]  Ulrich Schiefele.  Interest and Learning From Text , 1999 .

[53]  Fernando González-Ladrón-de-Guevara,et al.  Towards an integrated crowdsourcing definition , 2012, J. Inf. Sci..

[54]  H. Coates.  The value of student engagement for higher education quality assurance , 2005 .

[55]  Gregory Schraw,et al.  Situational Interest in Literary Text , 1997, Contemporary educational psychology.

[56]  D. A. Kenny,et al.  The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. , 1986, Journal of personality and social psychology.

[57]  Suzanne Wade,et al.  How interest affects learning from text. , 1990 .

[58]  Suzanne Hidi,et al.  Interestingness - A Neglected Variable in Discourse Processing , 1986, Cogn. Sci..

[59]  Aniket Kittur,et al.  An Assessment of Intrinsic and Extrinsic Motivation on Task Performance in Crowdsourcing Markets , 2011, ICWSM.

[60]  Florian Michahelles,et al.  AIS Electronic Library (AISeL) Crowdsourcing for “Kiosk of the Future” – A Retail Store Case Study , 2017 .

[61]  Ulrich Schiefele,et al.  The Influence of Topic Interest, Prior Knowledge, and Cognitive Capabilities on Text Comprehension , 1990 .

[62]  Ulrich Schiefele,et al.  Interest, Learning, and Motivation , 1991 .

[63]  Maja Vukovic,et al.  Crowdsourcing for Enterprises , 2009, 2009 Congress on Services - I.

[64]  R. Liden,et al.  Antecedents of team potency and team effectiveness: an examination of goal and process clarity and servant leadership. , 2011, The Journal of applied psychology.

[65]  J. Meece,et al.  Students' goal orientations and cognitive engagement in classroom activities , 1988 .