Framing of Seeker-Generated Information and New Solver Participation in Open Innovation Contests: An Empirical Analysis of the Temporal Effects

Published Online:https://doi.org/10.1287/isre.2017.0320

References

  • Afuah A, Tucci CL (2012) Crowdsourcing as a solution to distant search. Acad. Management Rev. 37(3):355–375.CrossrefGoogle Scholar
  • Amabile TM (1988) A model of creativity and innovation in organizations. Res. Organ. Behav. 10(1):123–167.Google Scholar
  • Archak N, Ghose A, Ipeirotis PG (2011) Deriving the pricing power of product features by mining consumer reviews. Management Sci. 57(8):1485–1509.LinkGoogle Scholar
  • Basten U, Biele G, Heekeren HR, Fiebach CJ (2010) How the brain integrates costs and benefits during decision making. Proc. Natl. Acad. Sci. USA 107(50):21767–21772.CrossrefGoogle Scholar
  • Bockstedt J, Druehl C, Mishra A (2016) Heterogeneous submission behavior and its implications for success in innovation contests with public submissions. Production Oper. Management 25(7):1157–1176.CrossrefGoogle Scholar
  • Boënne M, Leten B, Van Dyck W (2023) Does constructive feedback improve idea quality in idea contests? Exploring the role of hierarchy and feedback overlap. R & D Management 53(3):345–363.CrossrefGoogle Scholar
  • Boudreau KJ, Lacetera N, Lakhani KR (2011) Incentives and problem uncertainty in innovation contests: An empirical analysis. Management Sci. 57(5):843–863.LinkGoogle Scholar
  • Boston Consulting Group (2021) The 2021 most innovative companies report. Accessed December 2021, https://www.bcg.com/en-us/publications/2021/most-innovative-companiesoverview.Google Scholar
  • Boyd RL, Ashokkumar A, Seraj S, Pennebaker JW (2022) The Development and Psychometric Properties of LIWC-22 (University of Texas at Austin, Austin), 1–47.Google Scholar
  • Camacho N, Nam H, Kannan PK, Stremersch S (2019) Tournaments to crowdsource innovation: The role of moderator feedback and participation intensity. J. Marketing 83(2):138–157.CrossrefGoogle Scholar
  • Chen P-Y, Pavlou P, Wu S, Yang Y (2021) Attracting high‐quality contestants to contest in the context of crowdsourcing contest platform. Production Oper. Management 30(6):1751–1771.CrossrefGoogle Scholar
  • Cheng A, Baumgartner H, Meloy MG (2021) Identifying picky shoppers: Who they are and how to spot them. J. Consum. Psychol. 31(4):706–725.CrossrefGoogle Scholar
  • Das SR, Chen MY (2007) Yahoo! For amazon: Sentiment extraction from small talk on the web. Management Sci. 53(9):1375–1388.LinkGoogle Scholar
  • DeFond M, Erkens DH, Zhang J (2017) Do client characteristics really drive the Big N audit quality effect? New evidence from propensity score matching. Management Sci. 63(11):3628–3649.LinkGoogle Scholar
  • D’Haultfoeuille X, Hoderlein S, Sasaki Y (2021) Testing and relaxing the exclusion restriction in the control function approach. J. Econometrics 240(2):105075.Google Scholar
  • Ducarroz C, Yang S, Greenleaf EA (2016) Understanding the impact of in-process promotional messages: An application to online auctions. J. Marketing 80(2):80–100.CrossrefGoogle Scholar
  • Eagly AH, Kulesa P (1997) Attitudes, attitude structure, and resistance to change: Implications for persuasion on environmental issues. Bazerman MH, Messick DM, Tenbrunsel AE, WadeBenzoni KA, eds. Environment, Ethics, and Behavior: The Psychology of Environmental Valuation and Degradation (New Lexington, San Francisco), 122–153.Google Scholar
  • Entman RM (1993) Framing: Toward clarification of a fractured paradigm. J. Communication 43(4):51–58.CrossrefGoogle Scholar
  • Erat S, Krishnan V (2012) Managing delegated search over design spaces. Management Sci. 58(3):606–623.LinkGoogle Scholar
  • Fazio RH, Zanna MP (1978) On the predictive validity of attitudes: The roles of direct experience and confidence. J. Personality 46(2):228–243.CrossrefGoogle Scholar
  • Granberg D (1982) Social judgment theory. Burgoon M, ed. Communication Yearbook, vol. 6 (Sage, Beverly Hills, CA), 304–329.Google Scholar
  • Gross DP (2017) Performance feedback in competitive product development. RAND J. Econom. 48(2):438–466.CrossrefGoogle Scholar
  • Hameiri B, Idan O, Nabet E, Bar-Tal D, Halperin E (2020) The paradoxical thinking ‘sweet spot’: The role of recipients’ latitude of rejection in the effectiveness of paradoxical thinking messages targeting anti-refugee attitudes in Israel. J. Soc. Polit. Psych. 8(1):266–283.CrossrefGoogle Scholar
  • Han E (2022) What is design thinking and why is it important. Harvard Bus. School (January 18), https://online.hbs.edu/blog/post/what-is-design-thinking.Google Scholar
  • Hart S, Hultink EJ, Tzokas N, Commandeur HR (2003) Industrial companies’ evaluation criteria in new product development gates. J. Product Innov. Management 20(1):22–36.CrossrefGoogle Scholar
  • Hong Y, Peng J, Burtch G, Huang N (2021) Just DM me (politely): Direct messaging, politeness, and hiring outcomes in online labor markets. Inform. Systems Res. 32(3):786–800.LinkGoogle Scholar
  • Hu M, Liu B (2004) Mining and summarizing customer reviews. Proc. Tenth ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining (ACM, New York), 168–177.Google Scholar
  • Indurkhya N, Damerau FJ (2010) Handbook of Natural Language Processing (Chapman and Hall/CRC, New York).CrossrefGoogle Scholar
  • Jian L, Yang S, Ba S, Lu L, Jiang C (2019) Managing the crowds: The effect of prize guarantees and in-process feedback on participation in crowdsourcing contests. MIS Quart. 43(1):97–112.CrossrefGoogle Scholar
  • Jiang Z, Huang Y, Beil DR (2021) The role of problem specification in crowdsourcing contests for design problems: A theoretical and empirical analysis. Manufacturing Service Oper Management 23(3):637–656.LinkGoogle Scholar
  • Jiang Z, Huang Y, Beil DR (2022) The role of feedback in dynamic crowdsourcing contests: A structural empirical analysis. Management Sci. 68(7):4858–4877.LinkGoogle Scholar
  • Karau SJ, Kelly JR (1992) The effects of time scarcity and time abundance on group performance quality and interaction process. J. Experiment. Soc. Psych. 28(6):542–571.CrossrefGoogle Scholar
  • Koh TK (2019) Adopting seekers’ solution exemplars in crowdsourcing ideation contests: Antecedents and consequences. Inform. Systems Res. 30(2):486–506.LinkGoogle Scholar
  • Krippendorff K (1980) Validity in content analysis, chapter 1. Mochmann E, ed. Computerstrategien Für Die Kommunikationsanalyse (Campus, Frankfurt/New York), 69–112.Google Scholar
  • Krishnamurthy P, Carter P, Blair E (2001) Attribute framing and goal framing effects in health decisions. Organ. Behav. Hum. Decis. Process 85(2):382–399.CrossrefGoogle Scholar
  • Kyung N, Chan J, Lim S, Lee B (2024) Contextual targeting in mHealth Apps: Harnessing weather information and message framing to increase physical activity. Inform. Systems Res. 35(3):1034–1051.LinkGoogle Scholar
  • Lakhani KR, Lifshitz-Assaf H, Tushman M (2013) Open innovation and organizational boundaries: Task decomposition, knowledge distribution and the locus of innovation, chapter 19. Grandori A, ed. Handbook of Economic Organization: Integrating Economic and Organization Theory (Elgar, Northampton, MA), 355–382.CrossrefGoogle Scholar
  • Liberman N, Trope Y (1998) The role of feasibility and desirability considerations in near and distant future decisions: A test of temporal construal theory. J. Personality Soc. Psychol. 75(1):5–18.CrossrefGoogle Scholar
  • Locke EA, Latham GP (2002) Building a practically useful theory of goal setting and task motivation: A 35-year odyssey. Amer. Psychol. 57(9):705–717.CrossrefGoogle Scholar
  • Martinsuo M, Poskela J (2011) Use of evaluation criteria and innovation performance in the front end of innovation. J. Product Innovation Management 28(6):896–914.CrossrefGoogle Scholar
  • Mo J, Sarkar S, Menon S (2021) Competing tasks and task quality: An empirical study of crowdsourcing contests. MIS Quart. 45(4):1921–1948.CrossrefGoogle Scholar
  • Petty RE, Cacioppo JT (1986) Communication and Persuasion: Central and Peripheral Routes to Attitude Change (SpringerVerlag, New York).CrossrefGoogle Scholar
  • Petty RE, Krosnick JA (2014) Attitude Strength: Antecedents and Consequences (Psychology Press, New York).CrossrefGoogle Scholar
  • Riet JVT, Ruiter RA, Werrij MQ, De Vries H (2008) The influence of self‐efficacy on the effects of framed health messages. Eur. J. Soc. Psych. 38(5):800–809.CrossrefGoogle Scholar
  • Rothman AJ, Bartels RD, Wlaschin J, Salovey P (2006) The strategic use of gain-and loss-framed messages to promote healthy behavior: How theory can inform practice. J. Communication 56(Suppl_1):S202–S220.CrossrefGoogle Scholar
  • Sanyal P, Ye S (2024) An examination of the dynamics of crowdsourcing contests: Role of feedback type. Inform. Systems Res. 35(1):394–413.LinkGoogle Scholar
  • Schenk E, Guittard C (2011) Towards a characterization of crowdsourcing practices. J. Innovation Econom. 1(7):93–107.Google Scholar
  • Schleicher DJ, Smith TA, Casper WJ, Watt JD, Greguras GJ (2015) It’s all in the attitude: The role of job attitude strength in job attitude–Outcome relationships. J. Appl. Psychol. 100(4):1259–1274.CrossrefGoogle Scholar
  • Schultz P, Zaman M (2001) Do the individuals closest to internet firms believe they are overvalued. J. Financial Econom. 59(3):347–381.CrossrefGoogle Scholar
  • Sherif M, Hovland CI (1961) Social Judgment (Yale University Press, New Haven, CT).Google Scholar
  • Simon HA (1955) A behavioral model of rational choice. Quart. J. Econom. 69(1):99–118.CrossrefGoogle Scholar
  • Socher R, Perelygin A, Wu JY, Chuang J, Manning CD, Ng AY, Potts C (2013) Recursive deep models for semantic compositionality over a sentiment treebank. Proc. Conf. Empirical Methods Natural Language Processing (EMNLP) (Association for Computational Linguistics (ACL), Kerrville, TX), 1631–1642.Google Scholar
  • Stock J, Yogo M (2005) Asymptotic distributions of instrumental variables statistics with many instruments. Andrews DWK, Stock JH, eds. Identification and Inference for Econometric Models: Essays in Honor of Thomas Rothenberg, vol. 6 (Cambridge University Press, Cambridge, UK), 109–120.CrossrefGoogle Scholar
  • Terwiesch C, Xu Y (2008) Innovation contests, open innovation, and multiagent problem solving. Management Sci. 54(9):1529–1543.LinkGoogle Scholar
  • Trope Y, Liberman N (2003) Temporal construal. Psychol. Rev. 110(3):403–421.CrossrefGoogle Scholar
  • Trope Y, Liberman N (2010) Construal-level theory of psychological distance. Psychol. Rev. 117(2):440–463.CrossrefGoogle Scholar
  • Tucker JW (2010) Selection bias and econometric remedies in accounting and finance research. J. Accounting Literature 29(1):31–57.Google Scholar
  • Waller MJ, Zellmer-Bruhn ME, Giambatista RC (2002) Watching the clock: Group pacing behavior under dynamic deadlines. Acad. Management J. 45(5):1046–1055.CrossrefGoogle Scholar
  • Wooldridge JM (2015) Control function methods in applied econometrics. J. Human Resources 50(2):420–445.CrossrefGoogle Scholar
  • Wooten JO, Ulrich KT (2017) Idea generation and the role of feedback: Evidence from field experiments with innovation tournaments. Production Oper. Management 26(1):80–99.CrossrefGoogle Scholar
  • Wu X, Chen Y, Zhang N (2023) The impact of politeness in bidding descriptions on hiring decisions in online labor markets. Proc. 2023 Pacific Asia Conf. Inform. Systems (Association for Information Systems, Atlanta), 74.Google Scholar
  • Wu S, Liu Q, Zhao X, Sun B, Liao X (2024) Attracting solvers’ participation in crowdsourcing contests: The role of linguistic signals in task descriptions. Inform. Systems J. 34(1):6–38.CrossrefGoogle Scholar
  • Vargo SL, Lusch RF (2017) Consumers’ evaluative reference scales and social judgment theory: A review and exploratory study. Rev. Marketing Res. 1:245–284.CrossrefGoogle Scholar
  • Villas-Boas JM, Winer RS (1999) Endogeneity in brand choice models. Management Sci. 45(10):1324–1338.LinkGoogle Scholar
  • Ye HJ, Kankanhalli A (2017) Solvers’ participation in crowdsourcing platforms: Examining the impacts of trust, and benefit and cost factors. J. Strategic Inform. Systems 26(2):101–117.CrossrefGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.