Study of Innovation Legitimacy Effect on Business Model Innovation

  • Bingcheng Wang
  • Hao Ding
  • Xiaona Wang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 220)


The purpose of this study is to test different effects of three components of innovation legitimacy on business model innovation. We selected the full-time employees of 211 enterprises and institutions as samples, built models taking gender, age, education level and rank as the control variables and taking cognitive legitimacy, moral legitimacy, and practical legitimacy as independent variables. This chapter made descriptive statistic analysis, reliability testing, and correlation analysis through SPSS15.0, and tested the relationships between variables using hierarchical regression analysis. The final conclusions: the moral legitimacy shows a significant relationship on business model innovation; while the effect of others on business model innovation does not reach the level of significance.


Business model innovation Innovation legitimacy Hierarchical regression analysis 


  1. 1.
    Dai W, Yue L (2011) The business model innovation in post-crisis era. Harvard Business Review 1:72–73Google Scholar
  2. 2.
    Suchman MC (1995) Managing legitimacy: strategic and institutional approaches[J]. Acad Manag Rev 20(3):571–610Google Scholar
  3. 3.
    Dowling J, Pfeffer J (1975) Organizational legitimacy: social values and organizational behavior. Pac Sociol Rev 18:122–136Google Scholar
  4. 4.
    Epstein EM, Votaw D (1978) Rationality, legitimacy, responsibility: search for new directions in business and society, vol 1. Goodyear, Santa Monica, pp 12–15Google Scholar
  5. 5.
    Fornell C, Larcker DF (1981) Evaluating structural equation models with unobservable variables and measurement error. J Mark Res 18:39–50CrossRefGoogle Scholar
  6. 6.
    Huang Z, You X (2010) Social network, institutional lawfulness, and performance of globalization by Chinese businesses. Econ Manage J 8:38–47Google Scholar
  7. 7.
    Kleysen RF, Street CT (2001) Toward a multi-dimensional measure of individual innovative behavior. J Intellect Capital 2(3):284–296CrossRefGoogle Scholar
  8. 8.
    Nunnally JC (1978) Psychometric theory, 2nd ed. Mcgraw Hill Press, New YorkGoogle Scholar
  9. 9.
    Qiu H (2009) Quantitative research and statistical analysis, vol 3. Chongqing Univ Press, Chongqing, pp 12–17Google Scholar

Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.China University of Petroleum (East China), Shandong University of Science and TechnologyQingdaoChina

Personalised recommendations