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Intra-Firm Adoption Decisions

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  • van Everdingen, Y.M.
  • Wierenga, B.

Abstract

The subject of this paper is intra-firm adoption decisions, a relatively unexplored research area in the marketing literature. In particular, we investigate which factors influence the intra-firm adoption decisions regarding the common European currency of the treasury, purchasing and sales departments of European companies. Two sets of independent variables were hypothesized to influence the intra-firm adoption decisions, i.e. (1) variables known from the inter-firm diffusion literature, (2) variables specifically relevant for intra-firm analyses of innovation acceptance. The hypotheses are tested using data from treasury, purchasing and sales managers (441 respondents in total) from companies located in five different European countries. The results of logistic regression show that the proposed intra-firm variables are indeed important explanatory variables that should be included in intra-firm analyses. Moreover, for the inter-firm variables we found differences in the effects between departments, which demonstrates the very need for an intra-firm analysis.

Suggested Citation

  • van Everdingen, Y.M. & Wierenga, B., 2001. "Intra-Firm Adoption Decisions," ERIM Report Series Research in Management ERS-2001-21-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    • Handle: RePEc:ems:eureri:86
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    1. Dorothy Leonard-Barton & Isabelle Deschamps, 1988. "Managerial Influence in the Implementation of New Technology," Management Science, INFORMS, vol. 34(10), pages 1252-1265, October.
    2. Frambach, Ruud T. & Barkema, Harry G. & Nooteboom, Bart & Wedel, Michel, 1998. "Adoption of a service innovation in the business market: An empirical test of supply-side variables," Journal of Business Research, Elsevier, vol. 41(2), pages 161-174, February.
    3. Robert W. Zmud, 1982. "Diffusion of Modern Software Practices: Influence of Centralization and Formalization," Management Science, INFORMS, vol. 28(12), pages 1421-1431, December.
    4. Gatignon, Hubert & Robertson, Thomas S, 1985. "A Propositional Inventory for New Diffusion Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(4), pages 849-867, March.
    5. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    6. Randolph B. Cooper & Robert W. Zmud, 1990. "Information Technology Implementation Research: A Technological Diffusion Approach," Management Science, INFORMS, vol. 36(2), pages 123-139, February.
    7. Katz, Michael L & Shapiro, Carl, 1986. "Technology Adoption in the Presence of Network Externalities," Journal of Political Economy, University of Chicago Press, vol. 94(4), pages 822-841, August.
    8. Katz, Michael L & Shapiro, Carl, 1992. "Product Introduction with Network Externalities," Journal of Industrial Economics, Wiley Blackwell, vol. 40(1), pages 55-83, March.
    9. Durvasula, Srinivas, et al, 1993. "Assessing the Cross-National Applicability of Consumer Behavior Models: A Model of Attitude toward Advertising in General," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(4), pages 626-636, March.
    10. Steenkamp, Jan-Benedict E M & Baumgartner, Hans, 1998. "Assessing Measurement Invariance in Cross-National Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(1), pages 78-90, June.
    11. Hubert Gatignon & Jehoshua Eliashberg & Thomas S. Robertson, 1989. "Modeling Multinational Diffusion Patterns: An Efficient Methodology," Marketing Science, INFORMS, vol. 8(3), pages 231-247.
    12. E. Burton Swanson & Neil C. Ramiller, 1997. "The Organizing Vision in Information Systems Innovation," Organization Science, INFORMS, vol. 8(5), pages 458-474, October.
    13. Karel O. Cool & Ingemar Dierickx & Gabriel Szulanski, 1997. "Diffusion of Innovations Within Organizations: Electronic Switching in the Bell System, 1971--1982," Organization Science, INFORMS, vol. 8(5), pages 543-559, October.
    14. James C. Brancheau & James C. Wetherbe, 1990. "The Adoption of Spreadsheet Software: Testing Innovation Diffusion Theory in the Context of End-User Computing," Information Systems Research, INFORMS, vol. 1(2), pages 115-143, June.
    15. Edwin Mansfield, 1993. "The Diffusion of Flexible Manufacturing Systems in Japan, Europe and the United States," Management Science, INFORMS, vol. 39(2), pages 149-159, February.
    16. Eric Abrahamson & Lori Rosenkopf, 1997. "Social Network Effects on the Extent of Innovation Diffusion: A Computer Simulation," Organization Science, INFORMS, vol. 8(3), pages 289-309, June.
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    More about this item

    Keywords

    European Monetary Union; European marketing; business marketing; innovation; intra-firm adoption;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • L22 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Organization and Market Structure
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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