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

References

• Anderson S., Daly J., Johnson M. Why firms seek ISO 9000 certification: Regulatory compliance or competitive advantage? Production Oper. Management (1999) 8(1):28–43Crossref, Google Scholar
• Anderson C. J., Wasserman S., Crouch B. A p* primer: Logit models for social networks. Soc. Networks (1999) 21:37–66Crossref, Google Scholar
• Anselin L.Spatial Econometrics: Methods and Models (1988) (Kluwer Academic Publishers, Boston, MA) Crossref, Google Scholar
• Audretsch D., Feldman M. Knowledge spillovers and the geography of innovation and production. Amer. Econom. Rev. (1996) 86:630–640Google Scholar
• Baptista R. Do innovations diffuse faster within geographical clusters? Internat. J. Indust. Organ. (2000) 18:515–535Crossref, Google Scholar
• Bass F. A new-product growth model for consumer durables. Management Sci. (1969) 15(1):215–227Link, Google Scholar
• Bikhchandani S., Hirshleifer D., Welch I. A theory of fads, fashion, custom, and cultural change as informational cascades. J. Political Econom. (1992) 100:992–1026Crossref, Google Scholar
• Calem P., Carlino G. Urban agglomeration economies in the presence of technical change. J. Urban Economies (1991) 29(1):82–95Crossref, Google Scholar
• CIAThe World Factbook 2004 (2003) . Central Intelligence Agency, Washington, D.C. http://www.cia.gov/cia/publications/factbook/index.htmlGoogle Scholar
• Comin D., Hobijn B. Cross-country technology adoption: Making the theories face the facts. J. Monetary Econom. (2004) 51(1):39–83Crossref, Google Scholar
• Corbett C. J. Global diffusion of ISO 9000 certification through supply chains. Manufacturing Service Oper. Management (2006) 8(4):330–350Link, Google Scholar
• Corbett C. J., Kirsch D. A. International diffusion of ISO 14000 certification. Production Oper. Management (2001) 10(3):327–342Crossref, Google Scholar
• Corbett C. J., Luca A. M., Pan J.-N. Global perspectives on global standards, a 15-economy survey of ISO 9000 and ISO 14000. ISO Management Systems (2003) January–February):31–40Google Scholar
• DialogDialog OnDisk TableBase (2003) . http://www.dialog.comGoogle Scholar
• Feenstra R.World Trade Flows, 1980–1997 (2000) (Center of International Data, Institute of Governmental Affairs, University of California, Davis, CA) Google Scholar
• Gatignon H., Eliashberg J., Robertson T. Modeling multinational diffusion patterns: An efficient methodology. Marketing Sci. (1989) 8(3):231–247Link, Google Scholar
• Gelfand A., Dey D. Bayesian model choice—Asymptotics and exact calculations. J. Roy. Statist. Soc. Ser. B—Methodological (1994) 56(3):501–514Google Scholar
• Gelfand A., Smith A. Sampling-based approaches to calculating marginal densities. J. Amer. Statist. Assoc. (1990) 85:398–409Crossref, Google Scholar
• Gelman A., Carlin J., Stern H., Rubin D.Bayesian Data Analysis (1995) (Chapman and Hall, London, UK) Crossref, Google Scholar
• Glaeser E., Kallal H., Scheinkman J., Schleifer A. Growth in cities. J. Political Econom. (1992) 100:1126–1152Crossref, Google Scholar
• Granovetter M. Threshold models of collective behavior. Amer. J. Sociol. (1978) 83:1420–1443Crossref, Google Scholar
• Grubler A. Diffusion—Long-term patterns and discontinuities. Tech. Forecasting Soc. Change (1991) 39(1–2):159–180Crossref, Google Scholar
• Guler I., Guillén M. F., MacPherson J. M. Global competition, institutions, and the diffusion of organizational practices: The international spread of ISO 9000 quality certificates. Admin. Sci. Quart. (2002) 47(2):207–232Crossref, Google Scholar
• Hofstede G.Culture’s Consequences—Comparing Values, Behaviors, Institutions and Organizations Across Nations (2001) (Sage Publications Ltd., Thousand Oaks, CA) Google Scholar
• Horsky D., Simon L. S. Advertising and the diffusion of new products. Marketing Sci. (1983) 2(1):1–17Link, Google Scholar
• ISO The ISO survey of ISO 9000 and ISO 14001 certificates: Twelfth cycle: Up to and including 31 December 2002. (2003) . Retrieved July 30, 2003, http://www.iso.org/iso/en/iso9000-14000/pdf/survey12thcycle.pdfGoogle Scholar
• ISO The ISO survey—2004, ISO Central Secretariat, Geneva, Switzerland. (2004) . Retrieved June 10, 2006, http://www.iso.org/iso/en/iso9000-14000/certification/isosurvey.htmlGoogle Scholar
• Kumar V., Krishnan T. V. Multinational diffusion models: An alternative framework. Marketing Sci. (2002) 21(3):318–330Link, Google Scholar
• Lücke M. The diffusion of process innovations in industrialized and developing-countries—A case study of the World Textile and Steel industries. World Development (1993) 21(7):1225–1238Crossref, Google Scholar
• Mahajan V., Muller E. Innovation diffusion in a borderless global market—Will the 1992 unification of the European-community accelerate diffusion of new ideas, products, and technologies? Tech. Forecasting Soc. Change (1994) 45(3):221–235Crossref, Google Scholar
• Mansfield E. Technical change and the rate of imitation. Econometrica (1961) 29(4):741–766Crossref, Google Scholar
• Nakamura M., Vertinsky I., Zietsma C. Does culture matter in inter-firm cooperation? Research consortia in Japan and the USA. Managerial Decision Econom. (1997) 18(2):153–175Crossref, Google Scholar
• Neelamegham R., Chintagunta P. A Bayesian model to forecast new product performance in domestic and international markets. Marketing Sci. (1999) 18(2):115–136Link, Google Scholar
• Neumayer E., Perkins R. What explains the uneven take-up of ISO 14001 at the global level? A panel data analysis. Environment and Planning A (2004) 36(5):823–839Crossref, Google Scholar
• Newbold P., Granger C. W. J. Spurious regression in econometrics. J. Econometrics (1974) 2:111–120Crossref, Google Scholar
• Newton M., Raftery A. Approximate Bayesian inference by the weighted likelihood bootstrap. J. Roy. Statist. Soc. Ser. B (1994) 56:41–42Google Scholar
• Putsis W., Balasubramanian S., Kaplan E., Sen S. Mixing behavior in cross-country diffusion. Marketing Sci. (1997) 16(4):354–369Link, Google Scholar
• Shaikh N. I., Rangaswamy A., Balakrishnan A. Modeling the diffusion of innovations using small-world networks. (2005) . Working paper, Penn State University, Philadelphia, PAGoogle Scholar
• Shane S. Cultural influences on national rates of innovation. J. Bus. Venturing (1993) 8:59–73Crossref, Google Scholar
• Sultan F., Farley J. U., Lehmann D. R. A meta analysis of applications of diffusion models. J. Marketing Res. (1990) 27(February):70–77Crossref, Google Scholar
• Takada H., Jain D. Cross-national analysis of diffusion of consumer durable goods in pacific rim countries. J. Marketing (1991) 55(2):48–54Crossref, Google Scholar
• Talukdar D., Sudhir K., Ainslie A. Investigating new product diffusion across products and countries. Marketing Sci. (2002) 21(1):97–114Link, Google Scholar
• Tanner M., Wong W. The calculation of posterior distributions by data augmentation. J. Amer. Statist. Assoc. (1987) 82:528–549Crossref, Google Scholar
• Teece D. The diffusion of an administrative innovation. Management Sci. (1980) 26(5):464–470Link, Google Scholar
• Triandis H. C., Suh E. M. Cultural influences on personality. Ann. Rev. Psych. (2002) 53:133–160Crossref, Google Scholar
• Valente T. W.Network Models of the Diffusion of Innovations (1995) (Hampton Press, Cresskil, NJ) Google Scholar
• Van den Bulte C. New product diffusion acceleration: Measurement and analysis. Marketing Sci. (2000) 19(4):366–380Link, Google Scholar
• Van den Bulte C., Lilien G. L. Bias and systematic change in the parameter estimates of macro-level diffusion models. Marketing Sci. (1997) 16(4):338–353Link, Google Scholar
• Van Everdingen Y. M., Waarts E. The effect of national culture on the adoption of innovations. Marketing Lett. (2003) 14(3):217–232Crossref, Google Scholar
• Wasserman S., Faust K.Social Network Analysis: Methods and Applications (1994) (Cambridge University Press, Cambridge, UK) Crossref, Google Scholar
• World Economic Forum Environmental sustainability index. (2002) . Retrieved July 31, 2004, http://www.ciesin.columbia.edu/indicators/ESIGoogle Scholar