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An Empirical Evaluation of the Assimilation of Industry-Specific Data Standards Using Firm-Level and Community-Level Constructs

An Empirical Evaluation of the Assimilation of Industry-Specific Data Standards Using Firm-Level and Community-Level Constructs

Rubén A. Mendoza, T. Ravichandran
Copyright: © 2012 |Pages: 26
ISBN13: 9781466617612|ISBN10: 1466617616|EISBN13: 9781466617629
DOI: 10.4018/978-1-4666-1761-2.ch017
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MLA

Mendoza, Rubén A., and T. Ravichandran. "An Empirical Evaluation of the Assimilation of Industry-Specific Data Standards Using Firm-Level and Community-Level Constructs." Enterprise Information Systems and Advancing Business Solutions: Emerging Models, edited by Madjid Tavana, IGI Global, 2012, pp. 287-312. https://doi.org/10.4018/978-1-4666-1761-2.ch017

APA

Mendoza, R. A. & Ravichandran, T. (2012). An Empirical Evaluation of the Assimilation of Industry-Specific Data Standards Using Firm-Level and Community-Level Constructs. In M. Tavana (Ed.), Enterprise Information Systems and Advancing Business Solutions: Emerging Models (pp. 287-312). IGI Global. https://doi.org/10.4018/978-1-4666-1761-2.ch017

Chicago

Mendoza, Rubén A., and T. Ravichandran. "An Empirical Evaluation of the Assimilation of Industry-Specific Data Standards Using Firm-Level and Community-Level Constructs." In Enterprise Information Systems and Advancing Business Solutions: Emerging Models, edited by Madjid Tavana, 287-312. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-1761-2.ch017

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Abstract

Vertical standards focus on industry-specific product and service descriptions, and are generally implemented using the eXtensible Markup Language (XML). Vertical standards are complex technologies with an organizational adoption locus but subject to inter-organizational dependence and network effects. Understanding the assimilation process for vertical standards requires that both firm and industry-level effects be considered simultaneously. In this paper, the authors develop and evaluate a two-level model of organizational assimilation that includes both firm and industry-level effects. The study was conducted in collaboration with OASIS, a leading cross-industry standards-development organization (SDO), and with ACORD, the principal SDO for the insurance and financial services industries. Results confirm the usefulness of incorporating firm-level and community-level constructs in the study of complex networked technologies. Specifically, the authors’ re-conceptualization of the classical DoI concepts of relative advantage and complexity are shown to be appropriate and significant in predicting vertical standards assimilation. Additionally, community-level constructs such as orphaning risk and standard legitimation are also shown to be important predictors of assimilation.

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