A Spatiotemporal Analysis of the Global Diffusion of ISO 9000 and ISO 14000 Certification

We study the global diffusion of ISO 9000 and ISO 14000 certification using a network diffusion framework. We start by investigating the presence and nature of contagion effects by defining alternative cross-country networks and testing their relative strength. Second, we study how the rate of diffusion differs between the two standards and between early-and later-adopting countries. Third, we identify which countries had more influence on diffusion than others. Empirically, we build a diffusion model which includes several possible cross-country contagion effects and then use Bayesian methods for estimation and model selection. Using country by year data for 56 countries and nine years, we find that accounting for cross-country influences improves both the fit and the prediction accuracy of our models. However, the specific cross-country contagion mechanism is different across the two standards. Diffusion of ISO 9000 is driven primarily by geography and bilateral trade relations, whereas that of ISO 14000 is driven primarily by geography and cultural similarity. We also find that the diffusion rate of ISO standards is higher for later-adopting countries and for the later ISO 14000 standard. We discuss several implications of our findings for the global diffusion of management standards.

[1]  S. Bikhchandani,et al.  You have printed the following article : A Theory of Fads , Fashion , Custom , and Cultural Change as Informational Cascades , 2007 .

[2]  Philip M. Parker,et al.  Global Diffusion of Technological Innovations: A Coupled-Hazard Approach , 2000 .

[3]  Petra Christmann,et al.  Globalization and the Environment: Determinants of Firm Self-Regulation in China , 2001 .

[4]  Arnulf Grubler,et al.  Diffusion: Long-term patterns and discontinuities , 1991 .

[5]  T. S. Robertson,et al.  Modeling Multinational Diffusion Patterns: An Efficient Methodology , 1989 .

[6]  W. Wong,et al.  The calculation of posterior distributions by data augmentation , 1987 .

[7]  Diego Comin,et al.  Cross-Country Technology Adoption: Making the Theories Face the Facts , 2004 .

[8]  J. M. Macpherson,et al.  Global Competition, Institutions, and the Diffusion of Organizational Practices: The International Spread of ISO 9000 Quality Certificates , 2002 .

[9]  M. Feldman,et al.  R&D spillovers and the ge-ography of innovation and production , 1996 .

[10]  C. Granger,et al.  Spurious regressions in econometrics , 1974 .

[11]  Vijay Mahajan,et al.  Innovation diffusion in a borderless global market: Will the 1992 unification of the European Community accelerate diffusion of new ideas, products, and technologies? , 1994 .

[12]  Carolyn J. Anderson,et al.  A p* primer: logit models for social networks , 1999, Soc. Networks.

[13]  M. Newton Approximate Bayesian-inference With the Weighted Likelihood Bootstrap , 1994 .

[14]  Robert C. Feenstra,et al.  World trade flows: 1980-1997 , 2000 .

[15]  Ilan Vertinsky,et al.  Does Culture Matter in Inter-Firm Cooperation? Research Consortia in Japan and the USA , 1997 .

[16]  E. Waarts,et al.  The Effect of National Culture on the Adoption of Innovations , 2003 .

[17]  Thomas W. Valente Network models of the diffusion of innovations , 1996, Comput. Math. Organ. Theory.

[18]  Mark S. Granovetter Threshold Models of Collective Behavior , 1978, American Journal of Sociology.

[19]  D. Jain,et al.  Cross-National Analysis of Diffusion of Consumer Durable Goods in Pacific Rim Countries , 1991 .

[20]  Matthias Lücke,et al.  The diffusion of process innovations in industrialized and developing countries: A case study of the world textile and steel industries , 1993 .

[21]  A. Ainslie,et al.  Investigating New Product Diffusion Across Products and Countries , 2002 .

[22]  Pradeep K. Chintagunta,et al.  A Bayesian Model to Forecast New Product Performance in Domestic and International Markets , 1999 .

[23]  M. D. Wilkinson,et al.  Management science , 1989, British Dental Journal.

[24]  Scott Shane,et al.  Cultural influences on national rates of innovation , 1993 .

[25]  Kieler Arbeitspapiere,et al.  The diffusion of process innovations in industrialized and developing countries : a case study of the world textile and steel industries , 2008 .

[26]  D. Strang,et al.  Spatial and Temporal Heterogeneity in Diffusion , 1993, American Journal of Sociology.

[27]  Frank M. Bass,et al.  A New Product Growth for Model Consumer Durables , 2004, Manag. Sci..

[28]  D. Horsky,et al.  Advertising and the Diffusion of New Products , 1983 .

[29]  Gerald A. Carlino,et al.  Urban agglomeration economies in the presence of technical change , 1991 .

[30]  M. Feldman,et al.  Knowledge spillovers and the geography of innovation , 2004 .

[31]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.

[32]  Eric Neumayer,et al.  What Explains the Uneven Take-Up of ISO 14001 at the Global Level? A Panel-Data Analysis , 2004 .

[33]  E. Glaeser,et al.  Growth in Cities , 1991, Journal of Political Economy.

[34]  Subrata K. Sen,et al.  Mixing Behavior in Cross-Country Diffusion , 1997 .

[35]  Charles J. Corbett,et al.  INTERNATIONAL DIFFUSION OF ISO 14000 CERTIFICATION , 2009 .

[36]  P. Newbold,et al.  Essays in Econometrics: Spurious Regression in Econometrics , 2001 .

[37]  G. Lilien,et al.  Bias and Systematic Change in the Parameter Estimates of Macro-Level Diffusion Models , 1997 .

[38]  Marilyn F. Johnson,et al.  WHY FIRMS SEEK ISO 9000 CERTIFICATION: REGULATORY COMPLIANCE OR COMPETITIVE ADVANTAGE? , 1999 .

[39]  Donald R. Lehmann,et al.  A Meta-Analysis of Applications of Diffusion Models , 1990 .

[40]  L. Anselin Spatial Econometrics: Methods and Models , 1988 .

[41]  Steven M. Shugan,et al.  Seasonal Marketing and Timing New Product Introductions , 1998 .

[42]  Charles J. Corbett,et al.  Global Diffusion of ISO 9000 Certification Through Supply Chains , 2006, Manuf. Serv. Oper. Manag..

[43]  C. Bulte New Product Diffusion Acceleration: Measurement and Analysis , 2000 .

[44]  David J. Teece,et al.  The Diffusion of an Administrative Innovation , 1980 .

[45]  Trichy V. Krishnan,et al.  Research Note: Multinational Diffusion Models: An Alternative Framework , 2002 .

[46]  Rui Baptista,et al.  Do innovations diffuse faster within geographical clusters , 2000 .

[47]  A. Gelfand,et al.  Bayesian Model Choice: Asymptotics and Exact Calculations , 1994 .

[48]  Adrian F. M. Smith,et al.  Sampling-Based Approaches to Calculating Marginal Densities , 1990 .

[49]  E. Mansfield TECHNICAL CHANGE AND THE RATE OF IMITATION , 1961 .

[50]  R. Bhagat Culture's Consequences: Comparing Values, Behaviors, Institutions, and Organizations Across Nations , 2002 .

[51]  H. Triandis,et al.  Cultural influences on personality. , 2002, Annual review of psychology.