Market knowledge and new product performance: the mediating effects of new product creativity
Market knowledge is recognised as an important predictor of new product performance, which existing studies have proven. However, a missing link in this relationship is creativity, and specifically, as a natural process in product innovation. This study aims to examine a model that includes two mediating mechanisms between market knowledge scope and two new product outcomes, respectively: a new product’s competitive advantage and its commercial success. In both cases two mediators are used that represent dimensions of creativity—i.e. a product’s meaningfulness and novelty. The model was tested on a sample of 374 Polish medium-high- and high-technology companies using structural equation modelling. The results indicated that market knowledge is transferred to both new product outcomes through new product creativity, albeit somewhat differently. The first mediating mechanism, which explains the factor of competitive advantage, operates only through the indirect effects of both the product’s meaningfulness and its novelty. The second mechanism works directly, through the market knowledge’s effect on commercial success, as well as indirectly, through product meaningfulness. Subsequently, theoretical and managerial implications as well as indications for future research are provided based on these findings.
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Amabile, T. M., & Pratt, M. G. (2016). The dynamic componential model of creativity and innovation in organizations: Making progress, making meaning. Research in Organizational Behavior, 36, 157-183. https://doi.org/10.1016/j.riob.2016.10.001
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411-423. https://doi.org/10.1037/0033-2909.103.3.411
Andrews, J., & Smith, D. C. (1996). In search of the marketing imagination: Factors affecting the creativity of marketing programs for mature products. Journal of Marketing Research, 33(2), 174-187. https://doi.org/10.2307/3152145
Armstrong, J. S., & Overton, T. S. (1977). Estimating nonresponse bias in mail surveys. Journal of Marketing Research, 14(3), 396. https://doi.org/10.2307/3150783
Atuahene-Gima, K. (1995). An exploratory analysis of the impact of market orientation on new product performance: A contingency approach. Journal of Product Innovation Management, 12(4), 275-293. https://doi.org/10.1016/0737-6782(95)00027-Q
Atuahene-Gima, K. (2005). Resolving the capability: Rigidity paradox in new product innovation. Journal of Marketing, 69(4), 61-83. https://doi.org/10.1509/jmkg.2005.69.4.61
Atuahene-Gima, K., & Li, H. (2004). Strategic decision comprehensiveness and new product development outcomes in new technology ventures. Academy of Management Journal, 47(4), 583-597. https://doi.org/10.2307/20159603
Atuahene-Gima, K., & Wei, Y. S. (2011). The vital role of problem-solving competence in new product success. Journal of Product Innovation Management, 28(1), 81-98. https://doi.org/10.1111/j.1540-5885.2010.00782.x
Bagozzi, R. P., & Yi, Y. (2012). Specification, evaluation, and interpretation of structural equation models. Journal of the Academy of Marketing Science, 40(1), 8-34. https://doi.org/10.1007/s11747-011-0278-x
Bao, Y., Sheng, S., & Zhou, K. Z. (2012). Network-based market knowledge and product innovativeness. Marketing Letters, 23(1), 309-324. https://doi.org/10.1007/s11002-011-9155-0
Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99-120. https://doi.org/10.1177/014920639101700108
Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173-1182. https://doi.org/10.1037/0022-35126.96.36.1993
Bentler, P. M., & Chou, C. P. (1987). Practical issues in structural modeling. Sociological Methods & Research, 16(1), 78-117. https://doi.org/10.1177/0049124187016001004
Brown, T. A., & Moore, M. T. (2012). Confirmatory factor analysis. In R. Hoyle (Ed.), Handbook of structural equation modeling (pp. 361-379). New York: Guilford Press.
Bruner, J. (1962). The conditions of creativity. In H. E. Gruber, G. Terrell, & M. Wertheimer (Eds.), Contemporary approaches to creative thinking. New York: Atherton Press.
Claudy, M. C., Peterson, M., & Pagell, M. (2016). The roles of sustainability orientation and market knowledge competence in new product development success. Journal of Product Innovation Management, 33, 72-85. https://doi.org/10.1111/jpim.12343
Cooper, R. G. (2019). The drivers of success in new-product development. Industrial Marketing Management, 76, 36-47. https://doi.org/10.1016/j.indmarman.2018.07.005
Crawford, M., & Di Benedetto, A. (2011). New products management (10th ed.). New York: McGraw-Hill Irwin. https://doi.org/10.1016/0923-4748(93)90075-T
Dabrowski, D. (2018). Sources of market information, its quality and new product financial performance. Engineering Economics, 29(1). https://doi.org/10.5755/j01.ee.29.1.13405
De Luca, L. M., & Atuahene-Gima, K. (2007). Market knowledge dimensions and cross-functional collaboration: Examining the different routes to product innovation performance. Journal of Marketing, 71(January), 95-112. https://doi.org/10.1509/jmkg.71.1.95
Dess, G. G., & Robinson, R. B. (1984). Measuring organizational performance in the absence of objective measures: The case of the privately-held firm and conglomerate business unit. Strategic Management Journal, 5(32), 265-273. https://doi.org/10.1002/smj.4250050306
Dhebar, A. (2016). Bringing new high-technology products to market: Six perils awaiting marketers. Business Horizons, 59(6), 713-722. https://doi.org/10.1016/j.bushor.2016.08.006
Evanschitzky, H., Eisend, M., Calantone, R. J., & Jiang, Y. (2012). Success factors of product innovation: An updated meta-analysis. Journal of Product Innovation Management, 29(1994), 21-37. https://doi.org/10.1111/j.1540-5885.2012.00964.x
Ferreras-Méndez, J. L., Newell, S., Fernández-Mesa, A., & Alegre, J. (2015). Depth and breadth of external knowledge search and performance: The mediating role of absorptive capacity. Industrial Marketing Management, 47, 86-97. https://doi.org/10.1016/j.indmarman.2015.02.038
Ford, J. K., MacCullum, R. C., & Tait, M. (1986). The application of exploratory factor analysis in applied psychology: A critical review and analysis. Personnel Psychology, 39(2), 291-314. https://doi.org/10.1111/j.1744-6570.1986.tb00583.x
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/10.2307/3151312
Ginevičius, R., & Korsakiene, R. (2005). The knowledge-based economy in Lithuania: Analysis of tendencies. Journal of Business Economics and Management, 6(4), 231-239. https://doi.org/10.3846/16111699.2005.9636113
Ginevičius, R., Podvezko, V., & Ginevičius, A. (2013). Quantitative evaluation of enterprise marketing activities. Journal of Business Economics and Management, 14(1), 200-212. https://doi.org/10.3846/16111699.2012.731143
Guo, R., Cai, L., & Fei, Y. (2019). Knowledge integration methods, product innovation and high-tech new venture performance in China. Technology Analysis and Strategic Management, 31(3), 306-318. https://doi.org/10.1080/09537325.2018.1500688
Hatzichronoglou, T. (1997). Revision of the high-technology sector and product classification. OECD Science, Technology and Industry Working Papers, 1997/02, 26. https://doi.org/10.1787/134337307632
Hayes, A. F., & Rockwood, N. J. (2017). Regression-based statistical mediation and moderation analysis in clinical research: Observations, recommendations, and implementation. Behaviour Research and Therapy, 98, 39-57. https://doi.org/10.1016/j.brat.2016.11.001
Henard, D. H., & Szymanski, D. M. (2001). Why some new products are more successful than others. Journal of Marketing Research, 38(3), 362-375. https://doi.org/10.1509/jmkr.38.3.362.18861
Hertenstein, J. H., & Platf, M. B. (2000). Performance measures and management control in new product development. Accounting Horizons, 14(3), 303-323. https://doi.org/10.2308/acch.2000.14.3.303
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55. https://doi.org/10.1080/10705519909540118
Hultink, E. J., Talke, K., Griffin, A., & Veldhuizen, E. (2011). Market information processing in new product development: The importance of process interdependency and data quality. IEEE Transactions on Engineering Management, 58(2), 199-211. https://doi.org/10.1109/TEM.2009.2034254
Im, S., Hussain, M., & Sengupta, S. (2008). Testing interaction effects of the dimensions of market orientation on marketing program creativity. Journal of Business Research, 61(8), 859-867. https://doi.org/10.1016/j.jbusres.2007.09.003
Im, S., Montoya, M. M., & Workman, J. P. (2013). Antecedents and consequences of creativity in product innovation teams. Journal of Product Innovation Management, 30(1), 170-185. https://doi.org/10.1111/j.1540-5885.2012.00887.x
Im, S., & Workman, J. P. (2004). Market orientation, creativity, and new product performance in high-technology firms. Journal of Marketing, 68(April), 114-132. https://doi.org/10.1509/jmkg.188.8.131.52788
Jin, J. L., Shu, C., & Zhou, K. Z. (2019). Product newness and product performance in new ventures: Contingent roles of market knowledge breadth and tacitness. Industrial Marketing Management, 76, 231-241. https://doi.org/10.1016/j.indmarman.2018.08.009
Jose, P. E. (2013). Doing statistical mediation and moderation. New York: The Guilford Press.
Kim, N., Im, S., & Slater, S. F. (2013). Impact of knowledge type and strategic orientation on new product creativity and advantage in high-technology firms. Journal of Product Innovation Management, 30(1), 136-153. https://doi.org/10.1111/j.1540-5885.2012.00992.x
Kline, R. B. (2012). Assumptions in structural equation modeling. In R. H. Hoyle (Ed.), Handbook of structural equation modeling (pp. 111-125). New York: The Guilford Press.
Lee, H., & Markham, S. K. (2016). PDMA comparative performance assessment study (CPAS): Methods and future research directions. Journal of Product Innovation Management, 33, 3-19. https://doi.org/10.1111/jpim.12358
Li, T., & Calantone, R. J. (1998). The impact of market knowledge competence on new product advantage: Conceptualization and empirical examination. Journal of Marketing, 62(4), 13. https://doi.org/10.2307/1252284
Lin, R. J., Che, R. H., & Ting, C. Y. (2012). Turning knowledge management into innovation in the high‐tech industry. Industrial Management & Data Systems, 112(1), 42-63. https://doi.org/10.1108/02635571211193635
López-Cabarcos, M. Á., Srinivasan, S., Göttling-Oliveira-Monteiro, S., & Vázquez-Rodríguez, P. (2019). Tacit knowledge and firm performance relationship. The role of product innovation and the firm level capabilities. Journal of Business Economics and Management, 20(2), 330-350. https://doi.org/10.3846/jbem.2019.9590
Malhotra, N. K., Schaller, T. K., & Patil, A. (2017). Common method variance in advertising research: When to be concerned and how to control for it. Journal of Advertising, 46(1), 193-212. https://doi.org/10.1080/00913367.2016.1252287
Merenda, P. F. (1997). A guide to the proper use of factor analysis in the conduct and reporting of research: Pitfalls to avoid. Measurement and Evaluation in Counseling and Development, 30(3), 156-164.
Montoya-Weiss, M. M., & Calantone, R. (1994). Determinants of new product performance: A review and meta-analysis. Journal of Product Innovation Management, 11(November), 397-417. https://doi.org/10.1016/0737-6782(94)90029-9
Muthén, B. O., Muthén, L., & Asparouhov, T. (2016). Regression and mediation analysis using Mplus. Los Angeles: Muthen & Muthen.
Nakata, C., Rubera, G., Im, S., Pae, J. H., Lee, H. J., Onzo, N., & Park, H. (2018). New product creativity antecedents and consequences: Evidence from South Korea, Japan, and China. Journal of Product Innovation Management, 35(6), 939-959. https://doi.org/10.1111/jpim.12436
Narver, J. C., & Slater, S. F. (1990). The effect of a market orientation on business profitability. Journal of Marketing, 54(4), 20-35. https://doi.org/10.2307/1251757
OECD. (2015). OECD science, technology and industry scoreboard 2015: Innovation for growth and society. https://doi.org/10.1787/sti_scoreboard-2015-en
Ozkaya, H. E., Droge, C., Hult, G. T. M., Calantone, R., & Ozkaya, E. (2015). Market orientation, knowledge competence, and innovation. International Journal of Research in Marketing, 32(3), 309-318. https://doi.org/10.1016/j.ijresmar.2014.10.004
Slater, S. F., Hult, G. T. M., & Olson, E. M. (2010). Factors influencing the relative importance of marketing strategy creativity and marketing strategy implementation effectiveness. Industrial Marketing Management, 39, 551-559. https://doi.org/10.1016/j.indmarman.2008.03.007
Stankevičienė, J., Levickaitė, R., Braškutė, M., & Noreikaitė, E. (2011). Creative ecologies: Developing and managing new concepts of creative economy. Business, Management and Education, 9(2), 277-294. https://doi.org/10.3846/bme.2011.19
Teece, D., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509-533. https://doi.org/10.1016/B978-0-7506-7088-3.50009-7
Wade, M., & Hulland, J. (2004). The resource-based view and information systems research: Review, extension, and suggestions for future research. MIS Quarterly, 28(1), 107-142. https://doi.org/10.2307/25148626
Wall, T. D., Michine, J., Patterson, M., Wood, S. J., Sheehan, M., Clegg, C., & Wesr, M. (2004). On the validity of subjective measures of company performance. Personnel Psychology, 57, 95-118. https://doi.org/10.1159/000172511
Wernerfelt, B. (1984). A resource-based view of the firm. Strategic Management Journal, 5(Apr-Jun), 171-180. https://doi.org/10.1002/smj.4250050207
West, S. G., Taylor, A. B., & Wu, W. (2012). Model fit and model selection in structural equation modeling. In R. Hoyle (Ed.), Handbook of structural equation modeling (pp. 209-231). New York: The Guilford Press.
Yuan, L., & Chen, X. (2015). Managerial learning and new product innovativeness in high-tech industries: Curvilinear effect and the role of multilevel institutional support. Industrial Marketing Management, 50, 51-59. https://doi.org/10.1016/j.indmarman.2015.05.021
Zhang, H., Wu, F., & Cui, A. S. (2015). Balancing market exploration and market exploitation in product innovation: A contingency perspective. International Journal of Research in Marketing, 32(3), 297-308. https://doi.org/10.1016/j.ijresmar.2015.03.004