Interfirm partnership resource–lean capability association: exploring the moderating role of learning orientation and performance implications

References

• Ali, S., Peters, L. D., He, H. W., & Lettice, F. (2010). Market based organisational learning, dynamic, and substantive capabilities: An integrative framework. Journal of Strategic Marketing, 18(5), 363–377. https://doi.org/10.1080/0965254X.2010.497846
   Google Scholar
• Armstrong, S. J., & Overton, T. (1977). Estimating non-response bias in mail surveys. Journal of Marketing Research, 51(7), 71–86. https://doi.org/10.1177/002224377701400320
   Google Scholar
• Baker, W. E., & Sinkula, J. M. (1999). The synergistic effect of market orientation and learning orientation on organizational performance. Journal of the Academy of Marketing Science, 27(4), 411–427. https://doi.org/10.1177/0092070399274002
   Web of Science ®Google Scholar
• Barreto, I. (2010). Dynamic capabilities: A review of past research and an agenda for the future. Journal of Management, 36(1), 256–280. https://doi.org/10.1177/0149206309350776
   Web of Science ®Google Scholar
• Cadogan, J. W., & Lee, N. A miracle of measurement or accidental constructivism? How PLS subverts the realist search for truth. (2022). European Journal of Marketing, 57(6), 1703–1724. (ahead-of-print). https://doi.org/10.1108/EJM-08-2020-0637
   Web of Science ®Google Scholar
• Calantone, R. J., & DiBenedetto, C. A. (2012). The role of lean launch execution and launch timing on new product performance. Journal of the Academy of Marketing Science, 40(4), 526–538. https://doi.org/10.1007/s11747-011-0258-1
   Web of Science ®Google Scholar
• Chavez, R., Gimenez, C., Fynes, B., Wiengarten, F., & Yu, W. (2013). Internal lean practices and operational performance: The contingency perspective of industry clockspeed. International Journal of Operations & Production Management, 33(5), 562–588. https://doi.org/10.1108/01443571311322724
   Web of Science ®Google Scholar
• Crick, J. M. (2023). Analyzing survey data in marketing research: A guide for academics and postgraduate students. Journal of Strategic Marketing, 1–13. https://doi.org/10.1080/0965254X.2023.2176533
   Web of Science ®Google Scholar
• Crick, J. M., & Crick, D. (2021). Rising up to the challenge of our rivals: Unpacking the drivers and outcomes of coopetition activities. Industrial Marketing Management, 96, 71–85. https://doi.org/10.1016/j.indmarman.2021.04.011
   Web of Science ®Google Scholar
• Crick, J. M., Karami, M., & Crick, D. (2022). Is it enough to be market-oriented? How coopetition and industry experience affect the relationship between a market orientation and customer satisfaction performance. Industrial Marketing Management, 100, 62–75. https://doi.org/10.1016/j.indmarman.2021.11.002
   Web of Science ®Google Scholar
• Davies, A., Dodgson, M., & Gann, D. (2016). Dynamic capabilities in complex projects: The case of London Heathrow terminal 5. Project Management Journal, 47(2), 26–46. https://doi.org/10.1002/pmj.21574
   Web of Science ®Google Scholar
• Doz, Y., & Shuen, A. (1995). From intent to outcome: The evolution and governance of interfirm partnerships. INSEAD.
   Google Scholar
• Droge, C., & Germain, R. (2000). The relationship of electronic data interchange with inventory and financial performance. Journal of Business Logistics, 21(2), 209–230.
   Google Scholar
• Dyer, J. H., Singh, H., & Hesterly, W. S. (2018). The relational view revisited: A dynamic perspective on value creation and value capture. Strategic Management Journal, 39(12), 3140–3162. https://doi.org/10.1002/smj.2785
   Web of Science ®Google Scholar
• Eisenhardt, K. M., & Martin, J. A. (2000). Dynamic capabilities: What are they? Strategic Management Journal, 21(10), 1105–1121. https://doi.org/10.1002/1097-0266(200010/11)21:10/11<1105:AID-SMJ133>3.0.CO;2-E
   Web of Science ®Google Scholar
• Felzensztein, C., Crick, D., Gonzalez-Perez, M. A., Jurado, T., & Etchebarne López, M. S. (2022). Capabilities and the internationalisation of smaller-sized, service-oriented firms in the southern hemisphere. Journal of Strategic Marketing, 30(6), 533–561. https://doi.org/10.1080/0965254X.2020.1815235
   Web of Science ®Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
   Web of Science ®Google Scholar
• Garcia-Buendia, N., Moyano-Fuentes, J., Maqueira-Marin, J. M., & Cobo, M. J. (2021). 22 Years of lean supply chain management: A science mapping-based bibliometric analysis. International Journal of Production Research, 59(6), 1901–1921. https://doi.org/10.1080/00207543.2020.1794076
   Web of Science ®Google Scholar
• Georgantzas, N. C., & Shapiro, J. H. (1993). Viable theoretical forms of synchronous production innovation. Journal of Operations Management, 11(2), 161–183. https://doi.org/10.1016/0272-6963(93)90021-G
   Google Scholar
• Golgeci, I., & Arslan, A. (2014). Internationalization of emerging economy firms to developed economies: A discussion on institutional pressures and marketing and supply chain capabilities. Journal of Strategic Marketing, 22(7), 587–602. https://doi.org/10.1080/0965254X.2014.914060
   Google Scholar
• Graf, M., Schlegelmilch, B. B., Mudambi, S. M., & Tallman, S. (2013). Outsourcing of customer relationship management: Implications for customer satisfaction. Journal of Strategic Marketing, 21(1), 68–81. https://doi.org/10.1080/0965254X.2012.734844
   Google Scholar
• Gupta, S., Polonsky, M., & Lazaravic, V. (2019). Collaborative orientation to advance value co-creation in buyer-seller relationships. Journal of Strategic Marketing, 27(3), 191–209. https://doi.org/10.1080/0965254X.2017.1384747
   Web of Science ®Google Scholar
• Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
   Web of Science ®Google Scholar
• Hanvanich, S., Sivakumar, K., & Hult, G. T. M. (2006). The relationship of learning and memory with organizational performance: The moderating role of turbulence. Journal of the Academy of Marketing Science, 34(4), 600–612. https://doi.org/10.1177/0092070306287327
   Web of Science ®Google Scholar
• Henseler, J., & Schuberth, F. Partial least squares as a tool for scientific inquiry: Comments on cadogan and lee. (2022). European Journal of Marketing, 57(6), 1737–1757. (ahead-of-print). https://doi.org/10.1108/EJM-06-2021-0416
   Web of Science ®Google Scholar
• Hooley, G., Broderick, A., & Möller, K. (1998). Competitive positioning and the resource-based view of the firm. Journal of Strategic Marketing, 6(2), 97–116. https://doi.org/10.1080/09652549800000003
   Google Scholar
• Huang, M. C., Kang, M. P., & Chiang, J. K. (2020). Can a supplier benefit from investing in transaction-specific investments? A multilevel model of the value co-creation ecosystem perspective. Supply Chain Management: An International Journal, 25(6), 773–787. https://doi.org/10.1108/SCM-09-2019-0347
   Web of Science ®Google Scholar
• Hult, G. T. M., Hair, J. F., Jr., Proksch, D., Sarstedt, M., Pinkwart, A., & Ringle, C. M. (2018). Addressing endogeneity in international marketing applications of partial least squares structural equation modeling. Journal of International Marketing, 26(3), 1–21. https://doi.org/10.1509/jim.17.0151
   Web of Science ®Google Scholar
• Hult, G. T. M., Ketchen, G. J., Jr., & Nichols, E. L., Jr. (2003). Organizational learning as a strategic resource in supply management. Journal of Operations Management, 21(5), 541–556. https://doi.org/10.1016/j.jom.2003.02.001
   Web of Science ®Google Scholar
• Iyer, K. N. S., Srivastava, P., & Srinivasan, M. (2019). Performance implications of lean in supply chains: Exploring the role of learning orientation and relational resources. International Journal of Production Economics, 216, 94–104. https://doi.org/10.1016/j.ijpe.2019.04.012
   Web of Science ®Google Scholar
• Jarratt, D. (2009). Organizational preconditions supporting relationship management capability renewal. Journal of Strategic Marketing, 17(5), 365–381. https://doi.org/10.1080/09652540903216239
   Google Scholar
• Jiang, W., Mavondo, F., & Zhao, W. (2020). The impact of business networks on dynamic capabilities and product innovation: The moderating role of strategic orientation. Asia Pacific Journal of Management, 37(4), 1239–1266. https://doi.org/10.1007/s10490-018-9628-2
   Web of Science ®Google Scholar
• Johnson, J. L., Cullen, J. B., Sakano, T., & Takenouchi, H. (1996). Setting the stage for trust and strategic integration in Japanese-U.S. cooperative alliances. Journal of International Business Studies, 27(5), 981–1004. https://doi.org/10.1057/palgrave.jibs.8490160
   Web of Science ®Google Scholar
• Joshi, A. W., & Stump, R. L. (1999). The contingency effect of specific asset investments on joint action in manufacturer-supplier relationships: An empirical test of the moderating role of reciprocal asset investments, uncertainty, and trust. Journal of the Academy of Marketing Science, 27(3), 291–305. https://doi.org/10.1177/0092070399273001
   Web of Science ®Google Scholar
• Karami, M., Crick, D., & Crick, J. M. (2022). Non-predictive decision-making, market-oriented behaviours, and smaller-sized firms’ performance. Journal of Strategic Marketing, 1–25. https://doi.org/10.1080/0965254X.2022.2052938
   Web of Science ®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), 114–121. https://doi.org/10.1037/0021-9010.86.1.114
   PubMed Web of Science ®Google Scholar
• Makadok, R. (2001). Toward a synthesis of the resource-based and dynamic-capability views of rent creation. Strategic Management Journal, 22(5), 387–401. https://doi.org/10.1002/smj.158
   Web of Science ®Google Scholar
• Mentzer, J. T., & Flint, D. J. (1997). Validity in logistics research. Journal of Business Logistics, 18(1), 199–216.
   Google Scholar
• Narayanan, S., Narasimhan, R., & Schoenherr, T. (2015). Assessing the contingent effects of collaboration on agility performance in buyer–supplier relationships. Journal of Operations Management, 33-34(1), 140–154. https://doi.org/10.1016/j.jom.2014.11.004
   Google Scholar
• Nath, V., & Agrawal, R. (2020). Agility and lean practices as antecedents of supply chain social sustainability. International Journal of Operations and Production Management, 40(10), 1589–1611. https://doi.org/10.1108/IJOPM-09-2019-0642
   Web of Science ®Google Scholar
• Nelson, E., & Zimmerman, A. (2000). Minding the store: Kimberly-Clark keeps Costco in diapers, absorbing costs itself-under new system, supplier stocks retailers’ shelves and boosts bottom lines-averting a Huggies squeeze. The Wall Street Journal, A.1. September 7.
   PubMedGoogle Scholar
• O’Cass, A., & Sok, P. (2012). Examining the role of within functional area resource–capability complementarity in achieving customer and product-based performance outcomes. Journal of Strategic Marketing, 20(4), 345–363. https://doi.org/10.1080/0965254X.2011.643918
   Google Scholar
• Prahalad, C. K., & Hamel, G. (1990). The core competence of the corporation. Harvard Business Review, 68(3), 79–91. https://hbr.org/1990/05/the-core-competence-of-the-corporation
   Web of Science ®Google Scholar
• Prajogo, D., Oke, A., & Olhager, J. (2016). Supply chain processes: Linking supply logistics integration, supply performance, lean processes and competitive performance. International Journal of Operations & Production Management, 36(2), 220–238. https://doi.org/10.1108/IJOPM-03-2014-0129
   Web of Science ®Google Scholar
• Ren, G., & Peng, M. Y.-P. (2021). The impact of global dynamic capabilities on governance structure choice of partnership: The moderating effect of ambidexterity. Frontiers in Psychology, 12, 6193334. https://doi.org/10.3389/fpsyg.2021.619334
   Web of Science ®Google Scholar
• Ringle, C. M., Wende, S., & Becker, J. M. (2022). SmartPLS 4. SmartPLS GmbH. http://www.smartpls.com
   Google Scholar
• Robson, M. J., Katsikeas, C. S., Schlegelmilch, B., & Prambock, B. (2019). Alliance capabilities, interpartner attributes, and performance outcomes in international strategic alliances. Journal of World Business, 54(2), 137–153. https://doi.org/10.1016/j.jwb.2018.12.004
   Web of Science ®Google Scholar
• Rosenthal, R. (1990). Replication in behavioral research. Journal of Social Behavior and Personality, 5(4), 1.
   Google Scholar
• Sarkar, M. B., Echambadi, R., Cavusgil, T. S., & Aulakh, P. S. (2001). The influence of complementarity, compatibility, and relationship capital on alliance performance. Journal of Academy of Marketing Science, 29(4), 358–373. https://doi.org/10.1177/03079450094216
   Web of Science ®Google Scholar
• Slater, S. F., Olson, E. M., & Hult, G. T. M. (2006). The moderating influence of strategic orientation on the strategy formation capability–performance relationship. Strategic Management Journal, 27(12), 1221–1231. https://doi.org/10.1002/smj.569
   Web of Science ®Google Scholar
• Small, M. H., & Yasin, M. M. (1997). Advanced manufacturing technology: Implementation policy and performance. Journal of Operations Management, 15(4), 349–370. https://doi.org/10.1016/S0272-6963(97)00013-2
   Google Scholar
• Sorensen, H. E. (2011). Resource Specialization, customer orientation, and firm performance: An empirical investigation of valuable resources. Journal of Strategic Marketing, 19(4), 395–412. https://doi.org/10.1080/0965254X.2011.586718
   Google Scholar
• Sraha, G., Sharma, R. R., Crick, D., & Crick, J. M. (2020). International experience, commitment, distribution adaptation and performance: A study of Ghanaian firms in B2B export markets. Journal of Business & Industrial Marketing, 35(11), 1715–1738. https://doi.org/10.1108/JBIM-05-2019-0197
   Web of Science ®Google Scholar
• Srinivasan, M., Srivastava, P., & Iyer, K. N. S. (2020). Response strategy to environment context factors using a lean and agile approach: Implications for firm performance. European Management Journal, 38(6), 900–913. https://doi.org/10.1016/j.emj.2020.04.003
   Web of Science ®Google Scholar
• Stank, T., Crum, M., & Arango, M. (1999). Benefits of interfirm coordination in food industry supply chains. Journal of Business Logistics, 20(2), 21–41.
   Google Scholar
• Sun, W., & Govind, R. (2018). Geographic diversification, product diversification, and firm cash flow volatility: The moderating effect of firm dynamic capability. Journal of Strategic Marketing, 26(5), 440–461. https://doi.org/10.1080/0965254X.2017.1293136
   Web of Science ®Google Scholar
• Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533. https://doi.org/10.1002/(SICI)1097-0266(199708)18:7<509:AID-SMJ882>3.0.CO;2-Z
   Web of Science ®Google Scholar
• Wilden, R., & Gudergan, S. P. (2015). The impact of dynamic capabilities on operational marketing and technological capabilities: Investigating the role of environmental turbulence. Journal of the Academy of Marketing Science, 43(2), 181–199. https://doi.org/10.1007/s11747-014-0380-y
   Web of Science ®Google Scholar
• Wu, F., Yeniyurt, S., Kim, D., & Cavusgil, S. T. (2006). The impact of information technology on supply chain capabilities and firm performance: A resource-based view. Industrial Marketing Management, 35(4), 493–504. https://doi.org/10.1016/j.indmarman.2005.05.003
   Web of Science ®Google Scholar