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OEM implementation of supplier-developed component innovations: the role of supplier actions

  • Original Empirical Research
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Abstract

For suppliers to secure a positive return on their investment in the creation of component innovations, they must ensure that original equipment manufacturers (OEMs) implement these component innovations. The objectives of this study are to (1) identify the activities that suppliers undertake to foster innovation implementation, (2) articulate the theoretical mechanisms that mediate the impact of these activities on innovation implementation, and (3) establish the inter-related effects of these mediating theoretical mechanisms on innovation implementation. The results from a survey of 173 supplier–OEM dyads reveal that functional advantage is the theoretical mechanism that mediates the impact of two supplier actions—knowledge acquisition and installation support—on innovation implementation. The results also show that reputational advantage mediates the effect of innovative OEM endorsement and that relational advantage mediates the effects of supplier asset specificity and supplier innovativeness on innovation implementation. In terms of the inter-related effects of the mediating mechanisms on innovation implementation, the results indicate that relational advantage complements the positive impact of functional advantage on innovation implementation. In addition, the results reveal that innovation implementation has a positive impact on the financial performance of component innovations.

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Notes

  1. Unless otherwise indicated, all scale items were measured on a seven-point rating scale that was anchored by 1 = Strongly Disagree and 7 = Strongly Agree.

  2. Adapted from = Adapted from an existing scale in the indicated study; Based on = Based on the conceptual scholarship in the indicated study; Source = Items are extracted from the indicated study.

  3. Standardized loading. Note that all loadings are significant at the p < .001 level.

References

  • Achrol, R. S., Reve, T., & Stern, L. W. (1983). The environment of marketing channel dyads: a framework for comparative analysis. Journal of Marketing, 47, 55–67.

    Article  Google Scholar 

  • Afuah, A. (2013). Are network effects really All about size? the role of structure and conduct. Strategic Management Journal, 34, 257–73.

    Article  Google Scholar 

  • Aiken, L. S., & West, S. G. (1991). Multiple regression: testing and interpreting interactions. Newbury Park, CA: Sage Publications.

    Google Scholar 

  • Anderson, E., & Weitz, B. (1992). The use of pledges to build and sustain commitment in distribution channels. Journal of Marketing Research, 29, 18–34.

    Article  Google Scholar 

  • Andersson, U., Cuervo-Cazurra, A., & Bernhard, B. (2014). From the editors: explaining interaction effects within and across levels of analysis. Journal of International Business Studies, 45, 1063–71.

    Article  Google Scholar 

  • Athaide, G. A., & Klink, R. R. (2009). Managing seller-buyer relationships during new product development. Journal of Product Innovation Management, 26, 566–77.

    Article  Google Scholar 

  • Athaide, G. A., Meyers, P. W., & Wilemon, D. L. (1996). Seller-buyer interactions during the commercialization of technological process innovations. Journal of Product Innovation Management, 13, 406–21.

    Article  Google Scholar 

  • Attewell, P. (1992). Technology diffusion and organizational learning: the case of business computing. Organization Science, 3, 1–19.

    Article  Google Scholar 

  • Atuahene-Gima, K. (2005). Resolving the capability-rigidity paradox in new product innovation. Journal of Marketing, 69, 61–83.

    Article  Google Scholar 

  • Azadegan, A. (2011). Benefiting from supplier operational innovativeness: the influence of supplier evaluations and absorptive capacity. Journal of Supply Chain Management, 47, 49–64.

    Article  Google Scholar 

  • Azadegan, A., & Dooley, K. J. (2010). Supplier innovativeness, organizational learning styles and manufacturer performance: an empirical assessment. Journal of Operations Management, 6, 488–505.

    Article  Google Scholar 

  • Bagozzi, R., & Yi, Y. (2012). Specification, evaluation, and interpretation of structural equation models. Journal of the Academy of Marketing Science, 40, 8–34.

    Article  Google Scholar 

  • Bagozzi, R. P., & Yi, Y. (1988). On the Evaluation of Structural Equation Models. Journal of the Academy of Marketing Science, 16, 74–94.

  • Biong, H. (2013). Choice of subcontractor in markets with asymmetric information: reputation and price effects. Journal of Business & Industrial Marketing, 28(1), 60–71.

    Article  Google Scholar 

  • Blocker, C. P., Flint, D. J., Myers, M. B., & Slater, S. F. (2011). Proactive customer orientation and its role for creating customer value in global markets. Journal of the Academy of Marketing Science, 39, 216–33.

    Article  Google Scholar 

  • Bollen, K. A. (1989). Structural equations with latent variables. New York: Wiley.

    Book  Google Scholar 

  • Boothe, P. (2014). The future of canadian manufacturing: learning from leading firms. canadian auto parts manufacturing. Lawrence National Centre for Policy and Management, Ivey Business School. (http://www.ivey.uwo.ca/cmsmedia/1066974/3-fom-canadianautoparts.pdf).

  • Bouw (2013). Ballard Power is (Once Again) on the Rise. The Globe and Mail, 18th July 2013, B11.

  • Brown, T. J., Dacin, P. A., Pratt, M. G., & Whetten, D. A. (2006). Identity, intended image, construed image, and reputation: an interdisciplinary framework and suggested terminology. Journal of the Academy of Marketing Science, 34, 99–106.

    Article  Google Scholar 

  • Burns, L., Ridley-Thomas, C., Kanji, A., Pela, W., Zacharuk, E. (2011). CleanTech Report Card for British Columbia. KPMG.ca (http://ballard.com/files/PDF/Media/Cleantech_Report_Card_for_BC.pdf).

  • Chan, F. T. S., & Chong, A. Y.-L. (2013). Determinants of mobile supply chain management system diffusion: a structural equation analysis of manufacturing firms. International Journal of Production Research, 51, 1196–1213.

    Article  Google Scholar 

  • Chandy, R. K., & Tellis, G. J. (1998). Organizing for radical product innovation: the overlooked role of willingness to cannibalize. Journal of Marketing Research, 35, 474–87.

    Article  Google Scholar 

  • Churchill, G. A., Jr. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16, 64–73.

    Article  Google Scholar 

  • Cool, K. O., Dierickx, I., & Szulanski, G. (1997). Diffusion of innovation within organizations: electronic switching in the bell system, 1971-1982. Organization Science, 8, 543–559.

    Article  Google Scholar 

  • Cooper, R. G. (1979). The dimensions of industrial New product success and failure. Journal of Marketing, 43, 93–103.

    Article  Google Scholar 

  • Cooper, R. G., & Kleinschmidt, E. J. (1987). New products: what separates winners from losers? Journal of Product Innovation Management, 4, 169–84.

    Article  Google Scholar 

  • Crosno, J. L., & Cui, A. P. (2014). A multilevel analysis of the adoption of sustainable technology. Journal of Marketing Theory & Practice, 22, 209–24.

    Article  Google Scholar 

  • Deephouse, D. L. (2000). Media reputation as a strategic resource: an integration of mass communication and resource-based theories. Journal of Management, 26(6), 1091–1112.

    Article  Google Scholar 

  • Dewett, T., Whittier, N., & Williams, S. D. (2007). Internal diffusion: the conceptualizing innovation implementation. Competitiveness Review, 17(1/2), 1–16.

    Article  Google Scholar 

  • Doh, J. P., Howton, S. D., Howton, S. W., & Siegel, D. S. (2010). Does the market respond to an endorsement of social responsibility? The role of institutions, information, and legitimacy. Journal of Management, 36, 1461–85.

    Article  Google Scholar 

  • Dowty, J. (2015). Magna is a large-cap leader sitting in the driver’s seat. The Globe and Mail, 15th July 2015, B7.

  • Dyer, J. H., & Singh, H. (1998). The relational view: cooperative strategy and sources of interorganizational competitive advantage. Academy of Management Review, 23, 660–79.

    Google Scholar 

  • Energy.gov (2014). http://energy.gov/articles/road-fuel-savings-ford-magna-partnership-help-vehicles-shed-pounds.

  • Fang, E. E. (2008). Customer participation and the trade-off between new product innovativeness and speed to market. Journal of Marketing, 72, 90–104.

    Article  Google Scholar 

  • Fichman, R. G., & Kemerer, C. F. (1999). The illusory diffusion of innovation: an examination of assimilation gaps. Information Systems Research, 10(3), 255–275.

    Article  Google Scholar 

  • Flint, D. J., Woodruff, R. B., & Gardial, S. F. (2002). Exploring the phenomenon of customers’ desired value change in a business-to-business context. Journal of Marketing, 66, 102–118.

    Article  Google Scholar 

  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39–50.

    Article  Google Scholar 

  • Frambach, R. T., & Schillewaert, N. (2002). Organizational innovation adoption: a multi-level framework of determinants and opportunities for future research. Journal of Business Research, 55, 163–76.

    Article  Google Scholar 

  • Frambach, R. T., Barkema, H. G., Noteboom, B., & Wedel, M. (1998). Adoption of a service innovation in the business market: an empirical test of supply-side variables. Journal of Business Research, 41, 161–74.

    Article  Google Scholar 

  • Ganesan, S. (1994). Determinants of long-term orientation in buyer-seller relationships. Journal of Marketing, 58, 1–19.

    Article  Google Scholar 

  • Gatignon, H., & Robertson, T. S. (1989). Technology diffusion: an empirical test of competitive effects. Journal of Marketing, 53, 35–49.

    Article  Google Scholar 

  • Ghosh, M., & John, G. (1999). Governance value analysis and marketing strategy. Journal of Marketing, 63, 131–45.

    Article  Google Scholar 

  • Ghosh, M., & John, G. (2005). Strategic fit in industrial alliances: an empirical test of governance value analysis. Journal of Marketing Research, 42, 346–57.

    Article  Google Scholar 

  • Goo, J., Rajiv, K., Rao, H. R., & Nam, K. (2009). The role of service level agreements in relational management of information technology outsourcing: an empirical study. MIS Quarterly, 33, 119–45.

    Google Scholar 

  • Granovetter, M. (1985). Economic action and social structure: the problem of embeddedness. American Journal of Sociology, 91, 481–510.

    Article  Google Scholar 

  • Hamilton, T. (2012). Is the fuel-cell industry really near a tipping point?. The Toronto Star, 9th June 2012, B4.

  • Hamilton, B. H., & Nickerson, J. A. (2003). Correcting for endogeneity in strategic management research. Strategic Organization, 1, 51–78.

    Article  Google Scholar 

  • Handley, S. M., & Angst, C. M. (2015). The impact of culture on the relationship between governance and opportunism in outsourcing relationships. Strategic Management Journal, 36, 1412–34.

    Article  Google Scholar 

  • Hanna, N. (2010). Investing in hydrogen and fuel cells. Hampshire: Harriman House Ltd.

    Google Scholar 

  • Hausman, A., & Stock, J. R. (2003). Adoption and implementation of technological innovations within long-term relationships. Journal of Business Research, 56(8), 681–86.

    Article  Google Scholar 

  • Hayes, A. F., & Preacher, K. J. (2013). Statistical mediation analysis with a multicategorical independent variable. British Journal of Mathematical and Statistical Psychology, 67, 451–70. doi:10.1111/bmsp.12028.

    Article  Google Scholar 

  • Heide, J. B., & John, G. (1990). Alliances in industrial purchasing: the determinants of joint action in buyer-supplier relationships. Journal of Marketing Research, 27, 24–36.

    Article  Google Scholar 

  • Heide, J. B., & John, G. (1992). Do norms matter in marketing relationships? Journal of Marketing, 56, 32–44.

    Article  Google Scholar 

  • Heide, J. B., & Miner, A. S. (1992). The shadow of the future: effects of anticipated interaction and frequency of contact on buyer-seller cooperation. Academy of Management Journal, 35, 265–91.

    Article  Google Scholar 

  • Henard, D. H., & Szymanski, D. M. (2001). Why some new products are more successful than others. Journal of Marketing Research, 38, 362–75.

    Article  Google Scholar 

  • Homburg, C., Wieseke, J., & Bornemann, T. (2009). Implementing the marketing concept at the employee-customer interface: the role of customer need knowledge. Journal of Marketing, 73, 64–81.

    Article  Google Scholar 

  • Homburg, C., Klarmann, M., & Schmitt, J. (2010). Brand awareness in business markets: when is it related to firm performance?”. International Journal of Research in Marketing, 21(3), 201–12.

    Article  Google Scholar 

  • Homburg, C., Stierl, M., & Bornemann, T. (2013). Corporate social responsibility in business-to-business markets: How organizational customers account for supplier corporate social responsibility engagement. Journal of Marketing, 77, 54–72.

    Article  Google Scholar 

  • Inemek, A., & Matthyssens, P. (2013). The impact of buyer-supplier relationships on supplier innovativeness: an empirical study in cross-border supply networks. Industrial Marketing Management, 42, 580–94.

    Article  Google Scholar 

  • Jap, S. D. (1999). Pie-expansion efforts: collaboration processes in buyer-supplier relationships. Journal of Marketing Research, 36, 461–75.

    Article  Google Scholar 

  • Jap, S. D. (2001). ‘Pie-Sharing’ in complex collaboration contexts. Journal of Marketing Research, 38, 86–99.

    Article  Google Scholar 

  • Jap, S. D., & Anderson, E. (2003). Safeguarding interorganizational performance and continuity under ex post opportunism. Management Science, 49, 1684–1701.

    Article  Google Scholar 

  • Jap, S. D., & Ganesan, S. (2000). Control mechanisms and the relationship life cycle: implications for safeguarding specific investments and developing commitment. Journal of Marketing Research, 37, 227–45.

    Article  Google Scholar 

  • Jarvis, C. B., MacKenzie, S. B., & Podsakoff, P. M. (2003). A critical review of construct indicators and measurement model misspecification in marketing and consumer research. Journal of Consumer Research, 30(2), 199–218.

    Article  Google Scholar 

  • Jaworski, B. J., & Kohli, A. K. (1993). Market orientation: antecedents and consequences. Journal of Marketing, 57, 53–70.

    Article  Google Scholar 

  • Jayaram, J., & Pathak, S. (2013). A holistic view of knowledge integration in collaborative supply chains. International Journal of Production Research, 51, 1958–72.

    Article  Google Scholar 

  • Jayaraman, V., Narayanan, S., Luo, Y., & Swaminathan, J. M. (2013). Offshoring business process services and governance control mechanisms: an examination of service providers from India. Production and Operations Management, 22, 314–34.

    Article  Google Scholar 

  • Kang, M.-P., Mahoney, J. T., & Tan, D. (2009). Why firms make unilateral investments specific to other firms: the case of OEM suppliers. Strategic Management Journal, 30, 117–35.

    Article  Google Scholar 

  • Kibbeling, M., der Bij, H., & Weele, A. (2013). Market orientation and innovativeness in supply chains: supplier’s impact on customer satisfaction. Journal of Product Innovation Management, 30, 500–15.

    Article  Google Scholar 

  • Kim, N., & Pae, J. H. (2007). Utilization of new technologies: organizational adaptation to business environments. Journal of the Academy of Marketing Science, 35, 259–69.

    Article  Google Scholar 

  • Kim, N., & Pae, J. H. (2014). Does intra-firm diffusion of innovation lead to inter-firm relationship benefits? The cases of innovation providers and adopters. Journal of Business & Industrial Marketing, 29(6), 514–24.

    Article  Google Scholar 

  • Kim, N., Pae, J. H., Han, J. K., & Srivastava, R. K. (2010). Utilization of business technologies: managing relationship-based benefits for buying and supplying firms. Industrial Marketing Management, 39, 473–84.

    Article  Google Scholar 

  • Klein, K. J., & Sorra, J. S. (1996). The challenge of innovation implementation. Academy of Management Review, 21, 1055–80.

    Google Scholar 

  • Koufteros, X. A., Rawski, G. E., & Rupak, R. (2010). Organizational integration for product development: the effects on glitches, on-time execution of engineering change orders, and market success. Decision Sciences, 41, 49–80.

    Article  Google Scholar 

  • Kumar, N., Stern, L. W., & Anderson, J. G. (1993). Conducting interorganizational research using key informants. Academy of Management Journal, 36(6), 1633–51.

    Article  Google Scholar 

  • Lemke, F., & Petersen, H. L. (2013). Teaching reputational risk management in the supply chain. Supply Chain Management, 18(4), 413–29.

    Article  Google Scholar 

  • Letaifa, S. B. (2014). The uneasy transition from supply chains to ecosystems: the value-creation/value-capture dilemma. Management Decision, 52(2), 278–95.

    Article  Google Scholar 

  • Lindell, M. K., & Whitney, D. J. (2001). Accounting for common method variance in cross-sectional research designs. Journal of Applied Psychology, 86(1), 114–21.

    Article  Google Scholar 

  • Liu, Y., Luo, Y., & Liu, T. (2009). Governing buyer-supplier relationships through transactional and relational mechanisms: evidence from China. Journal of Operations Management, 27, 294–309.

    Article  Google Scholar 

  • March, J. G. (1991). Exploration and exploitation in organizational learning. Organization Science, 2, 71–87.

    Article  Google Scholar 

  • McNally, R. C., Cavusgil, E., & Calantone, R. J. (2010). Product innovativeness dimensions and their relationships with product advantage, product financial performance, and project protocol. Journal of Product Innovation Management, 27, 991–1006.

    Article  Google Scholar 

  • Mohr, J. J., Fisher, R. J., & Nevin, J. R. (1996). Collaborative communication in interfirm relationships: moderating effects of integration and control. Journal of Marketing, 60, 103–15.

    Article  Google Scholar 

  • Möller, K. E., Kristian & Pekka Törrönen (2003). Business Suppliers’ Value Creation Potential: A Capability-Based Analysis. Industrial Marketing Management, 32, 109–18.

  • Montoya-Weiss, M. M., & Calantone, R. (1994). Determinants of new product performance: a review and meta-analysis. Journal of Product Innovation Management, 11, 397–417.

    Article  Google Scholar 

  • Moore, G. C., & Benbasat, I. (2001). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192–222.

    Article  Google Scholar 

  • Nauss, D.W. (1998). Ballard battling to break through with daimler and ford behind it, vancouver firm sets fuel cell agenda. Ward’s Auto World, 30th March 1998. (http://wardsauto.com/news-analysis/ballard-battling-break-through-daimler-and-ford-behind-it-vancouver-firm-sets-fuel-cell-agenda).

  • Noordhoff, C., Kyriakos Kyriakopoulos, S., Moorman, C., Pauwels, P., & Benedict, G. C. (2011). The bright side and dark side of embedded ties in business-to-business innovation. Journal of Marketing, 75, 34–52.

    Article  Google Scholar 

  • Nunnally, J. C. (1978). Psychometric theory (2dth ed.). New York: McGraw-Hill.

    Google Scholar 

  • Ozkaya, H. E., Cornelia, D., Homas, G., Hult, M., Calantone, R., & Ozkaya, E. (2015). Market orientation, knowledge competence, and innovation. International Journal of Research in Marketing, 3, 309–18.

    Article  Google Scholar 

  • Petkova, A. P. (2014). How to judge what can’t be seen and touched? The contingent effect of media reputation on young firms’ access to venture capital. Corporate Reputation Review, 17, 273–89.

    Article  Google Scholar 

  • Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method bias in behavioral research: a critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903.

    Article  Google Scholar 

  • Poppo, L., & Zenger, T. (2002). Do Formal Contracts and Relational Governance Function as Substitutes or Complements? Strategic Management Journal, 23, 707–25.

  • Rai, A., & Patnayakuni, R. (1996). A structural model for CASE adoption behavior. Journal of Management Information Systems, 13, 205–34.

    Article  Google Scholar 

  • Rao, H., Davis, G. F., & Ward, A. (2000). Embeddedness, social identity and mobility: Why firms leave the NASDAQ and join the New York stock exchange. Administrative Science Quarterly, 45, 268–92.

    Article  Google Scholar 

  • Rindova, V. P., Williamson, I. O., Petkova, A. P., & Sever, J. M. (2005). Being good or being known: an empirical examination of the dimensions, antecedents, and consequences of organizational reputation. Academy of Management Journal, 48, 1033–49.

    Article  Google Scholar 

  • Roberts, P. W., & Dowling, G. R. (2002). Corporate reputation and sustained superior financial performance. Strategic Management Journal, 23, 1077–93.

    Article  Google Scholar 

  • Rogers, E. M. (2003). Diffusion of innovations (5th edn.). New York: Free Press.

    Google Scholar 

  • Schiele, H. (2012). Accessing supplier innovation by being their preferred customer. Research Technology Management, 55, 44–50.

    Article  Google Scholar 

  • Shaver, J. M. (1998). Accounting for endogeneity when assessing strategy performance: does entry mode choice affect FDI survival? Management Science, 44, 571–85.

    Article  Google Scholar 

  • Stenroos-Aarikka, L., & Lehtimäki, T. (2014). Commercializing a radical innovation: probing the way to the market. Industrial Marketing Management, 43, 1372–84.

    Article  Google Scholar 

  • Story, V., O’Malley, L., & Hart, S. (2011). Roles, role performance, and radical innovation competences. Industrial Marketing Management, 40, 952–66.

    Article  Google Scholar 

  • Stuart, T. E., Ha, H., & Hybels, R. C. (1999). Interorganizational endorsements and the performance of entrepreneurial ventures. Administrative Science Quarterly, 44, 315–49.

    Article  Google Scholar 

  • Stump, R. L., & Heide, J. B. (1996). Controlling supplier opportunism in industrial relationships. Journal of Marketing Research, 4, 431–41.

    Article  Google Scholar 

  • Svahn, S., & Westerlund, M. (2009). Purchasing strategies in supply relationships. Journal of Business & Industrial Marketing, 24(3/4), 173–81.

    Article  Google Scholar 

  • Szymanski, D. M., Kroff, M. W., & Troy, L. C. (2007). Innovativeness and new product success: insights from the cumulative evidence. Journal of the Academy of Marketing Science, 35, 35–52.

    Article  Google Scholar 

  • Tornatzky, L. G., & Klein, K. J. (1982). Innovation characteristics and innovation adoption implementation: a meta-analysis of findings. IEEE Transactions on Engineering Management, 29, 28–45.

    Article  Google Scholar 

  • Töytäri, P., Rajala, R., & Alejandro, T. B. (2015). Organizational and institutional barriers to value-based pricing in industrial relationships. Industrial Marketing Management, 47, 53–64.

    Article  Google Scholar 

  • Un, C. A., Cuervo-Cazurra, A., & Asakawa, K. (2010). R&D collaborations and product innovation. Journal of Product Innovation Management, 27, 673–89.

    Article  Google Scholar 

  • Uzzi, B. (1997). Social structure and competition in interfirm networks: the paradox of embeddedness. Administrative Science Quarterly, 42, 35–67.

    Article  Google Scholar 

  • Verwaal, E., Commandeur, H., & Verbeke, W. (2009). Value creation and value claiming in strategic outsourcing decisions: a resource contingency perspective. Journal of Management, 35, 420–44.

    Article  Google Scholar 

  • Waarts, E., van Everdingen, Y. M., & van Hillegersberg, J. (2002). The dynamics of factors affecting the adoption of innovations. Journal of Product Innovation Management, 19, 412–23.

    Article  Google Scholar 

  • Wagner, S. M., & Bode, C. (2014). Supplier relationship-specific investments and the role of safeguards for supplier innovation sharing. Journal of Operations Management, 32, 65–78.

    Article  Google Scholar 

  • Wathne, K. H., & Heide, J. B. (2000). Opportunism in interfirm relationships: forms, outcomes, and solutions. Journal of Marketing, 64, 36–51.

    Article  Google Scholar 

  • Weigelt, C., & Sarkar, M. B. (2009). Learning from supply-side agents: the impact of technology solution providers’ experiential diversity on clients’ innovation adoption. Academy of Management Journal, 52, 37–60.

    Article  Google Scholar 

  • Wetzel, H. A., Mahherschmidt, M., & Zablah, A. R. (2014). Gratitude versus entitlement: a dual process model of the profitability implications of customer prioritization. Journal of Marketing, 78, 1–19.

    Article  Google Scholar 

  • Williamson, O. E. (1985). The economic institutions of capitalism. New York: Free Press.

    Google Scholar 

  • Wu, F., Mahajan, V., & Balasubramanian, S. (2003). An analysis of E-business adoption and its impact on business performance. Journal of the Academy of Marketing Science, 31, 425–47.

    Article  Google Scholar 

  • Yeniyurt, S., Henke, J., Jr., & Yalcinkaya, G. (2014). A longitudinal analysis of supplier involvement in buyers’ new product development: working relations, inter-dependence, co-innovation, and performance outcomes. Journal of the Academy of Marketing Science, 42, 291–308.

    Article  Google Scholar 

  • Zajac, E. J., & Olsen, C. P. (1993). From transaction cost to transaction value analysis: implications for the study of interorganizational strategies. Journal of Management Studies, 30, 131–45.

    Article  Google Scholar 

  • Zhao, X., Lynch, J. G., Jr., & Chen, Q. (2010). Reconsidering Baron and Kenny: myths and truths about mediation analysis. Journal of Consumer Research, 37, 197–206.

    Article  Google Scholar 

  • Zhao, Y., Cavusgil, E., & Tamer Cavusgil, S. (2014). An investigation of the black-box supplier integration in new product development. Journal of Business Research, 67, 1058–64.

    Article  Google Scholar 

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Correspondence to Ashwin W. Joshi.

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Raji Srinivasan served as Area Editor for this article

Appendix

Appendix

Scale itemsFootnote 1

Innovation Implementation (OEM Data) (Adapted fromFootnote 2: Rai and Patnayakuni 1996; Wu et al. 2003)

  1. 1.

    We have fully integrated this component innovation into the product that we manufacture. (.69)Footnote 3

  2. 2.

    We have made all the product design changes that were needed to effectively incorporate this component innovation into our product. (.79)

  3. 3.

    We have made the necessary changes to our production and operating systems in order to effectively incorporate this component innovation into our product. (.92)

  4. 4.

    All the logistical issues involved in incorporating this component innovation into our product have been worked out. (.86)

  5. 5.

    This component innovation has been effectively integrated into our product. (.61)

  6. 6.

    All the necessary internal approvals to make this component innovation a part of our product are in place. (.94)

  7. 7.

    Any internal disagreements regarding the incorporation of this component innovation into our end product have been resolved. (.86)

  8. 8.

    The component innovation is now an established feature in our product. (.73)

  9. 9.

    Replacing this component innovation from our end product will not be an easy task. (.74)

Functional Advantage (OEM Data) (Adapted from: Flint et al. 2002; Ulaga and Chacour 2001)

The following items pertain to your assessments of the component innovation during the trial-and-evaluation stage:

  1. 1.

    Our product’s performance improved as a result of incorporating this component innovation. (.88)

  2. 2.

    This component innovation made our product more effective. .65)

  3. 3.

    Incorporation of this component innovation gave our product a competitive advantage. (.80)

  4. 4.

    Taking both the functional benefits and economic costs into account, we came out ahead as a result of incorporating this component innovation. (.67)

  5. 5.

    This component innovation generated greater performance benefits for our product relative to the corresponding component in our key competitor’s product. (.65)

Reputational Advantage (OEM Data) (Adapted from: Homburg et al. 2013; Rindova et al. 2005)

The following items pertain to your assessments of the component innovation during the trial-and-evaluation stage:

  1. 1.

    Integrating the component innovation into our product enhanced our product’s reputation in the industry. (.67)

  2. 2.

    Our customers regarded our product more favorably because it incorporated the component innovation. (.84)

  3. 3.

    Our competitors began to incorporate the component innovation into their products as well. (.65)

  4. 4.

    Integrating the component innovation into our product made our industry partners (e.g., distributors) regard our product more favorably. (.88)

Relational Advantage (OEM Data) (Adapted from: Jap and Anderson 2003)

The following items pertain to your assessments of the supplier relationship based on your experiences with the supplier during the trial-and-evaluation stage:

  1. 1.

    We expected that our relationship with the supplier of the innovative component would last far into the future. (.80)

  2. 2.

    We expected that we would continue working with the supplier of the component innovation on a long-term basis. (.67)

  3. 3.

    We expected that the supplier of the component innovation would stand behind their product for the foreseeable future. (.85)

  4. 4.

    We did not expect that our relationship with the supplier of the component innovation would terminate anytime soon. (.62)

  5. 5.

    We believed that the supplier of the component innovation would continue supplying us with the component in the foreseeable future. (.64)

Knowledge Acquisition (Supplier Data) (Based on: Jaworski and Kohli 1993)

As part of our approach to this OEM…

  1. 1.

    We had developed a good understanding of the architecture (or overall design) of this OEM’s product. (.60)

  2. 2.

    We became knowledgeable about the manner in which the various components in this OEM’s product were inter-linked. (.67)

  3. 3.

    We had developed a good understanding of the logistical systems used by the OEM to acquire components. (.85)

  4. 4.

    We had developed a good understanding of the operational systems used by the OEM to assemble components to create their product. (.68)

  5. 5.

    We had learned the administrative systems used by the OEM to manage the flow of components. (.84)

Installation Support (Supplier Data) (Adapted from: Athaide and Klink 2009)

During the trial-and-evaluation stage….

  1. 1.

    We worked with the OEM to ensure that our component innovation was integrated effectively in their product. (.90)

  2. 2.

    We were on hand to address any challenges encountered by the OEM in integrating our component innovation into their product. (.94)

  3. 3.

    We provided on-site support to the OEM during the period when they were integrating our innovative component into their product. (.78)

  4. 4.

    We partnered with the OEM to ensure that the logistical systems were in place to ensure seamless supply of our innovative component. (.74)

  5. 5.

    We provided all the operational and logistical information for the innovative component that the OEM needed in order to plan their production schedule. (.61)

Innovative OEM Endorsement (Supplier Data) (Based on: Rindova et al. 2005)

As part of our approach to this OEM…

  1. 1.

    We secured endorsements for the component innovation from other manufacturing firms that are regarded as being among the most innovative in this OEM’s industry. (.77)

  2. 2.

    We pilot-tested our component innovation with other manufacturing firms that are regarded as being among the most innovative in this OEM’s industry. (.81)

  3. 3.

    We established agreements with the most innovative firms in the OEM’s industry that they could use them as references for this component innovation. (.63)

  4. 4.

    We made it known that other leading OEMs in their industry had expressed an interest in adopting this component innovation. (.72)

  5. 5.

    We expressed our willingness to link this OEM with other firms in their industry that had experience with the component innovation. (.71)

Institutional Third-Party Endorsement (Supplier Data) (Based on: Rindova et al. 2005)

As part of our approach to this OEM…

  1. 1.

    We secured reviews for our component innovation from trade magazines. (.63)

  2. 2.

    We worked hard to ensure that industry experts knew about our component innovation. (.67)

  3. 3.

    We encouraged industry experts to communicate their assessment of the component innovation within the industry. (.92)

  4. 4.

    We cited trade magazine reviews of our component innovation. (.87)

  5. 5.

    We cited what industry experts had said about our component innovation. (.60)

Specific Asset Investment (Supplier Data) (Adapted from: Heide and John 1992)

During the trial-and-evaluation stage….

  1. 1.

    We made significant investments in tooling and equipment dedicated to customizing our component innovation for this OEM. (.81)

  2. 2.

    This OEM had some unusual technological norms and standards, which required adaptation to the component innovation. (.79)

  3. 3.

    Our production system for the component innovation had to be tailored to meet the requirements of dealing with this OEM. (.83)

  4. 4.

    Our outbound logistical process for the component innovation had to be tailored to meet the requirements of dealing with this OEM. (.81)

  5. 5.

    Gearing up to deal with this OEM for this component innovation required highly specialized tools and equipment. (.87)

Supplier Innovativeness (Supplier Data) (Based on: Chandy and Tellis 1998)

During the trial-and-evaluation stage…

  1. 1.

    We continued to develop this component innovation. (.61)

  2. 2.

    Our R&D associated with this component innovation was on-going. (.64)

  3. 3.

    We sought to develop newer versions of this component innovation for the future. (.84)

  4. 4.

    We invested resources in building on this component innovation. (.81)

  5. 5.

    We were focused on improving this component innovation. (.63)

Component Innovation Financial Performance (Supplier Data) (Adapted from: Noordhoff et al. 2011)

Please rate the extent to which the component innovation has achieved the following outcomes with respect to this OEM (1 = Far Below Stated Objective and 5 = Far Above Stated Objective):

  1. 1.

    OEM share relative to stated objective. (.64)

  2. 2.

    Sales revenues relative to stated objective. (.83)

  3. 3.

    Return on assets relative to stated objective. (.79)

  4. 4.

    Profit margin relative to stated objective. (.86)

  5. 5.

    Return on investment relative to stated objective. (.83)

Control variables

Compatibility (OEM Data) (Based on Tornatzky and Klein 1982; Moore and Benbasat 2001)

  1. 1.

    Integrating the component innovation into our product did not require significant changes to the design of our product.

Complexity (OEM Data) (Based on Tornatzky and Klein 1982; Moore and Benbasat 2001)

  1. 1.

    It took us a long time to understand how the component innovation worked.

Trialability (OEM Data) (Based on Tornatzky and Klein 1982; Moore and Benbasat 2001)

  1. 1.

    We were able to utilize the component innovation on a trial basis to assess its fit with our product.

Buyer Receptivity (OEM Data) (Based on Jaworski and Kohli 1993)

  1. 1.

    We had expressed a need for this component innovation to this supplier.

Buyer Resources (OEM Data) (Based on Frambach et al. 1998)

  1. 1.

    We have the resources needed to integrate this component innovation into our product.

Buyer Environmental Turbulence (OEM Data) (Source: Jaworski and Kohli 1993)

  1. 1.

    In our business, customers’ product preferences change quite a bit over time.

Other variables

Supplier Trustworthiness (OEM Data) (Source: Ganesan 1994)

  1. 1.

    This supplier cares about the well-being of our company.

Length of Business Relationship (OEM Data) (Adapted from: Homburg et al. 2013)

  1. 1.

    For how many years have you procured components from this supplier? (1 = less than 1 year; 2 = between 1 year and 3 years; 3 = more than 3 years and less than 5 years; 4 = between 5 years and 7 years; 5 = more than 7 years)

Supplier Respondent Knowledgeability (Supplier Data) (Source: Kumar et al. 1993)

  1. 1.

    How knowledgeable are you about the issues raised in this survey? (1 = not at all and 7 = highly)

OEM Respondent Knowledgeability (OEM Data) (Source: Kumar et al. 1993)

  1. 1.

    How knowledgeable are you about the issues raised in this survey? (1 = not at all and 7 = highly)

Component Importance (OEM Data) (Based on: Stump and Heide 1996)

  1. 1.

    How important is this component for your product? (1 = Not at all important and 7 = highly important)

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Joshi, A.W. OEM implementation of supplier-developed component innovations: the role of supplier actions. J. of the Acad. Mark. Sci. 45, 548–568 (2017). https://doi.org/10.1007/s11747-016-0506-5

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