Individualism, collectivism and reward crowdfunding contribution intention and behavior

Abstract The study examines the role of the individualism-collectivism (IDV) cultural dimension in reward crowdfunding contribution intentionality and behavior. An extended Theory of Planned Behavior framework is used for comparative analysis using survey data collected from users of national platforms from opposing cultures along the IDV dimension – China and Finland. Main findings suggest that: attitudes are positively associated with information sharing and financial contribution intentions in both cultures; collectivism enhances the effects of subjective norms on both intentions; behavior control is more strongly observed in individualistic cultures; and information sharing intentions are more strongly associated with contribution behavior in collectivistic cultures.

[1]  D. Ketchen,et al.  How Should Crowdfunding Research Evolve? A Survey of the Entrepreneurship Theory and Practice Editorial Board , 2017 .

[2]  Terry S. Overton,et al.  Estimating Nonresponse Bias in Mail Surveys , 1977 .

[3]  Anindya Ghose,et al.  An Empirical Examination of the Antecedents and Consequences of Contribution Patterns in Crowd-Funded Markets , 2013, Inf. Syst. Res..

[4]  Lili Liu,et al.  Empathy or perceived credibility? An empirical study on individual donation behavior in charitable crowdfunding , 2018, Internet Res..

[5]  Carsten Anckar,et al.  On the Applicability of the Most Similar Systems Design and the Most Different Systems Design in Comparative Research , 2008 .

[6]  E. Stam,et al.  The wisdom of the crowd in funding: information heterogeneity and social networks of crowdfunders , 2018 .

[7]  Ziaul Haque Munim,et al.  Reward crowdfunding contribution as planned behaviour: An extended framework , 2019, Journal of Business Research.

[8]  D. Ketchen,et al.  Research on Crowdfunding: Reviewing the (Very Recent) past and Celebrating the Present , 2017 .

[9]  Haichao Zheng,et al.  Exploring individuals' behavioral intentions toward donation crowdfunding: evidence from China , 2019, Ind. Manag. Data Syst..

[10]  Carina Thürridl,et al.  What Goes around Comes Around? Rewards as Strategic Assets in Crowdfunding , 2016 .

[11]  B. R. Schlenker,et al.  Audiences' reactions to self-enhancing, self-denigrating, and accurate self-presentations , 1982 .

[12]  Armin Schwienbacher,et al.  Crowdfunding of Small Entrepreneurial Ventures , 2010 .

[13]  Matthew K. O. Lee,et al.  What drives consumers to spread electronic word of mouth in online consumer-opinion platforms , 2012, Decis. Support Syst..

[14]  Huigang Liang,et al.  Understanding the importance of interaction between creators and backers in crowdfunding success , 2018, Electron. Commer. Res. Appl..

[15]  M. Schreier,et al.  When consumers become project backers: The psychological consequences of participation in crowdfunding , 2018, International Journal of Research in Marketing.

[16]  Rodney L. Stump,et al.  Global use and access of social networking web sites: a national culture perspective , 2014 .

[17]  Katherine M. White,et al.  Predicting adolescents' use of social networking sites from an extended theory of planned behaviour perspective , 2010, Comput. Hum. Behav..

[18]  J. Feller,et al.  What Kind of Cause Unites a Crowd? Understanding Crowdfunding as Collective Action , 2018 .

[19]  Yadong Luo,et al.  Guanxi: principles, philosophies, and implications , 1997 .

[20]  T. Vinig,et al.  Guanxi, trust and reward-based crowdfunding success: a Chinese case , 2019, Chinese Management Studies.

[21]  Armin Schwienbacher.  Entrepreneurial risk-taking in crowdfunding campaigns , 2015 .

[22]  R. McCrae,et al.  Personality and Culture Revisited: Linking Traits and Dimensions of Culture , 2004 .

[23]  Othmar Manfred Lehner,et al.  The formation and interplay of social capital in crowdfunded social ventures , 2014 .

[24]  Millissa F. Y. Cheung,et al.  Service co-creation in social media: An extension of the theory of planned behavior , 2016, Comput. Hum. Behav..

[25]  Shu-Chuan Chu,et al.  Electronic Word-of-Mouth in Social Networking Sites: A Cross-Cultural Study of the United States and China , 2011 .

[26]  Nathan S. Hartman,et al.  Method Variance and Marker Variables: A Review and Comprehensive CFA Marker Technique , 2010 .

[27]  S. Schwartz.  Beyond individualism/collectivism: New cultural dimensions of values. , 1994 .

[28]  I. Ajzen,et al.  Prediction of goal directed behaviour: Attitudes, intentions and perceived behavioural control , 1986 .

[29]  N. Steigenberger.  Why supporters contribute to reward-based crowdfunding , 2017 .

[30]  G. C. Homans,et al.  Social Behavior as Exchange , 1958, American Journal of Sociology.

[31]  Mike Molesworth,et al.  Success in the management of crowdfunding projects in the creative industries , 2016, Internet Res..

[32]  Ting-Peng Liang,et al.  Why funders invest in crowdfunding projects: Role of trust from the dual-process perspective , 2019, Inf. Manag..

[33]  E. Gerber,et al.  Crowdfunding , 2013, Crowdfunding. Análisis del marco regulatorio de la financiación colaborativa en Colombia.

[34]  Yun Xu,et al.  The role of multidimensional social capital in crowdfunding: A comparative study in China and US , 2014, Inf. Manag..

[35]  B. Byrne,et al.  Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. , 1989 .

[36]  Loren V. Geistfeld,et al.  A cross-cultural investigation of consumer e-shopping adoption , 2004 .

[37]  Ethan Mollick.  The Dynamics of Crowdfunding: An Exploratory Study , 2014 .

[38]  P. Pavlou,et al.  Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model , 2003 .

[39]  Yves Rosseel,et al.  lavaan: An R Package for Structural Equation Modeling , 2012 .

[40]  L. Pitt,et al.  Seeking funding in order to sell: Crowdfunding as a marketing tool , 2017 .

[41]  Teresa Correa,et al.  Who interacts on the Web?: The intersection of users' personality and social media use , 2010, Comput. Hum. Behav..

[42]  Kalanit Efrat,et al.  Analyzing the Impact of Culture on Average Time Spent on Social Networking Sites , 2014 .

[43]  J. S. Long,et al.  Tests for Structural Equation Models , 1992 .

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

[45]  Chin-Lung Hsu,et al.  Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation , 2008, Inf. Manag..

[46]  Jacob Cohen,et al.  A power primer. , 1992, Psychological bulletin.

[47]  M. Spence.  Job Market Signaling , 1973 .

[48]  Damien Chaney.  A principal–agent perspective on consumer co-production: Crowdfunding and the redefinition of consumer power , 2019, Technological Forecasting and Social Change.

[49]  T. Ramayah,et al.  Applicability of theory of planned behavior in predicting intention to trade online , 2007 .

[50]  Christina Chung,et al.  A Cross-National Study of the Influence of Individualism and Collectivism on Liking Brand Pages , 2014 .

[51]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[52]  Jan Marco Leimeister,et al.  Not just an ego-trip: Exploring backers' motivation for funding in incentive-based crowdfunding , 2017, J. Strateg. Inf. Syst..

[53]  M. Wright,et al.  Serial Crowdfunding, Social Capital, and Project Success , 2017 .

[54]  Keng Siau,et al.  National culture and its effects on knowledge communication in online virtual communities , 2007, Int. J. Electron. Bus..

[55]  A. Herrmann,et al.  The Social Influence of Brand Community: Evidence from European Car Clubs , 2005 .

[56]  S. Bi,et al.  The influence of online information on investing decisions of reward-based crowdfunding , 2017 .

[57]  A. Igolkina,et al.  semopy: A Python Package for Structural Equation Modeling , 2019, Structural Equation Modeling: A Multidisciplinary Journal.

[58]  Thang Nguyen,et al.  Being seen to care: The relationship between self-presentation and contributions to online pro-social crowdfunding campaigns , 2018, Comput. Hum. Behav..

[59]  Chao-Min Chiu,et al.  A longitudinal investigation of continued online shopping behavior: An extension of the theory of planned behavior , 2006, Int. J. Hum. Comput. Stud..

[60]  Junghoon Moon,et al.  Exploring the effect of e-WOM participation on e-Loyalty in e-commerce , 2013, Decis. Support Syst..

[61]  B. Clarysse,et al.  Does the Possibility to Make Equity Investments in Crowdfunding Projects Crowd Out Reward–Based Investments? , 2015 .

[62]  Fang Fang Chen,et al.  What happens if we compare chopsticks with forks? The impact of making inappropriate comparisons in cross-cultural research. , 2008, Journal of personality and social psychology.

[63]  Yiwen Gao,et al.  Understanding the determinants of funders' investment intentions on crowdfunding platforms: A trust-based perspective , 2016, Ind. Manag. Data Syst..

[64]  I. Ajzen.  The theory of planned behavior , 1991 .

[65]  Gawon Kim,et al.  A cross-cultural comparative analysis of crowdfunding projects in the United States and South Korea , 2017, Comput. Hum. Behav..

[66]  K. Mardia.  Measures of multivariate skewness and kurtosis with applications , 1970 .

[67]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[68]  C. Clogg,et al.  Statistical Methods for Comparing Regression Coefficients Between Models , 1995, American Journal of Sociology.

[69]  L. Cronbach.  Coefficient alpha and the internal structure of tests , 1951 .

[70]  C. Fornell,et al.  Evaluating Structural Equation Models with Unobservable Variables and Measurement Error , 1981 .

[71]  Chiung-Wen Hsu,et al.  Understanding why consumers engage in electronic word-of-mouth communication: Perspectives from theory of planned behavior and justice theory , 2015, Electron. Commer. Res. Appl..

[72]  M. Conner,et al.  Efficacy of the Theory of Planned Behaviour: a meta-analytic review. , 2001, The British journal of social psychology.

[73]  Ricky Y. K. Chan,et al.  Explaining Green Purchasing Behavior , 2002 .

[74]  A. Bock,et al.  Exploring entrepreneurial legitimacy in reward-based crowdfunding , 2014 .

[75]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[76]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[77]  S. Shapiro,et al.  An Analysis of Variance Test for Normality (Complete Samples) , 1965 .

[78]  T. Singelis,et al.  The Measurement of Independent and Interdependent Self-Construals , 1994 .

[79]  Junseok Hwang,et al.  Crowdfunding as an Alternative Means for Funding Sustainable Appropriate Technology: Acceptance Determinants of Backers , 2018 .

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

[81]  M. Colombo,et al.  Internal Social Capital and the Attraction of Early Contributions in Crowdfunding , 2015 .

[82]  C. Flavián,et al.  Determinants of the intention to participate in firm-hosted online travel communities and effects on consumer behavioral intentions , 2010 .

[83]  Harry C. Triandis,et al.  Individualism-Collectivism , 1986 .

[84]  Chuan-Hoo Tan,et al.  Remarkable advocates: An investigation of geographic distance and social capital for crowdfunding , 2017, Inf. Manag..