The Technological Advancement of New Products, Product Newness and Market Information

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dc.contributor.authorDabrowski, Dariusz
dc.contributor.otherEkonomická fakultacs
dc.date.accessioned2019-09-16T08:54:22Z
dc.date.available2019-09-16T08:54:22Z
dc.description.abstractThe purpose of this study is to propose product newness and obtaining market information as mediators of the relationship between the technological advancement of a new product and its commercial success. So far, little is known about the mediators of this relationship but knowledge about the factors that strengthen or weaken it is valid, both for the theory and practice of new product management. On the one hand, product newness – those elements that constitute its novelty to the company and to the market – is hypothesized as a factor that weakens the relationship while, on the other hand, obtaining market information – information gathered from customers, competitors and other sources – is expected to strengthen it. This research is based on data regarding 287 new products developed by Polish high-tech and medium high-tech companies. Confirmatory factor analysis and structural equation modelling were applied to test the parallel multiple mediator model. The results of this research show that the positive effect of the technological advancement of a new product on its commercial performance is mediated, on the one hand, negatively by product newness to the company and, on the other hand, positively by gathering market information from customers. Neither product newness to the market nor obtaining market information from competitors or from other entities cause any indirect effects. While developing technologically advanced products, it is recommend to train new product development staff in ways of dealing with new tasks and situations that arise during such developments, and also to focus more on gathering market information from customers than from competitors or other entities because this will positively influence the new products’ success.en
dc.formattext
dc.identifier.doi10.15240/tul/001/2019-3-011
dc.identifier.eissn2336-5604
dc.identifier.issn1212-3609
dc.identifier.orcid0000-0002-2045-2683 Dabrowski, Dariusz
dc.identifier.urihttps://dspace.tul.cz/handle/15240/153580
dc.language.isoen
dc.publisherTechnická Univerzita v Libercics
dc.publisherTechnical university of Liberec, Czech Republicen
dc.publisher.abbreviationTUL
dc.relation.isbasedonAnderson, 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.
dc.relation.isbasedonArmstrong, J. S., & Overton, T. S. (1977). Estimating nonresponse bias in mail surveys. Journal of Marketing Research, 14(3), 396-402. https://doi.org/10.2307/3150783.
dc.relation.isbasedonAvlonitis, G. J., Papastathopoulu, P. G., & Gounaris, S. P. (2001). An empirically-based typology of product innovativeness for new financial services: Success and failure scenarios. Journal of Product Innovation Management, 18(5), 324-342. https://doi.org/10.1111/1540-5885.1850324.
dc.relation.isbasedonBagozzi, 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.
dc.relation.isbasedonBarney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99-120. https://doi.org/10.1177/014920639101700108.
dc.relation.isbasedonBaron, 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/10.1037/0022-3514.51.6.1173.
dc.relation.isbasedonBonnet, D. C. L. (1986). Nature of the R&D/Marketing co-operation in the design of technologically advanced new industrial products. R&D Management, 16(2), 117-126. https://doi.org/10.1111/j.1467-9310.1986.tb01165.x.
dc.relation.isbasedonChen, Y., Tang, G., Jin, J., Xie, Q., & Li, J. (2014). CEOs’ transformational leadership and product innovation performance: The roles of corporate entrepreneurship and technology orientation. Journal of Product Innovation Management, 31(S1), 2-17. https://doi.org/10.1111/jpim.12188.
dc.relation.isbasedonDabrowski, D. (2008). New product practices and performance of German appliances companies. Argumenta Oeconomica, 2(21), 153-176.
dc.relation.isbasedonDanneels, E., & Kleinschmidt, E. J. (2001). Product innovativeness from the firm’s perspective: Its dimensions and their relation with project selection and performance. Journal of Product Innovation Management, 18(6), 357-373. https://doi.org/10.1111/1540-5885.1860357.
dc.relation.isbasedonDavis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Information Systems Journal, 13, 319-340. https://doi.org/10.2307/249008.
dc.relation.isbasedonDhebar, 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.
dc.relation.isbasedonDiStefano, C., Liu, J., Jiang, N., & Shi, D. (2017). Examination of the weighted root mean square residual: Evidence for trustworthiness? Structural Equation Modeling, 25(3), 1-14. https://doi.org/10.1080/10705511.2017.1390394.
dc.relation.isbasedonDyer, J. H., & Singh, H. (2012). The relational view: cooperate strategy and sources of interorganizational competitive advantage. The Academy of Management Review, 23(4), 660-679. https://doi.org/10.7880/abas.13.77.
dc.relation.isbasedonFeng, T., Cai, D., Zhang, Z., & Liu, B. (2016). Customer involvement and new product performance: The jointly moderating effects of technological and market newness. Industrial Management & Data Systems, 116(8), 1700-1718. https://doi.org/10.1108/IMDS-11-2015-0457.
dc.relation.isbasedonFornell, 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.
dc.relation.isbasedonGalbraith, J. (1973). Designing Complex Organizations. Boston: Addison-Wesley Longman Publishing Co.
dc.relation.isbasedonGao, G. Y., Zhou, K. Z., & (Bennet) Yim, C. K. (2007). On what should firms focus in transitional economies? A study of the contingent value of strategic orientations in China. International Journal of Research in Marketing, 24(1), 3-15. https://doi.org/10.1016/j.ijresmar.2006.09.004.
dc.relation.isbasedonGatignon, H., & Xuereb, J. (1997). Strategic orientation of the firm and new product performance. Journal of Marketing Research, 34(1), 77-90. https://doi.org/10.2307/3152066.
dc.relation.isbasedonGerbing, D. W., & Anderson, J. C. (1988). An updated paradigm for scale development incorporating unidimensionality and its assessment. Journal of Marketing Research, 25(2), 186-192. https://doi.org/10.2307/3172650.
dc.relation.isbasedonGriffin, A., & Page, A. L. (1996). PDMA success measurement project: Recommended measures for product development success and failure. Journal of Product Innovation Management, 13(6), 478-496. https://doi.org/10.1111/1540-5885.1360478.
dc.relation.isbasedonHair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis (7th ed.). Edinburgh Gate: Pearson Education.
dc.relation.isbasedonHayes, 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.
dc.relation.isbasedonHenard, D. H., & McFadyen, M. A. (2012). Resource dedication and new product performance: A resource-based view. Journal of Product Innovation Management, 29(2), 193-204. https://doi.org/10.1111/j.1540-5885.2011.00889.x.
dc.relation.isbasedonHu, 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.
dc.relation.isbasedonHultink, 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.
dc.relation.isbasedonIm, S., Vorhies, D. W., Kim, N., & Heiman, B. (2016). How knowledge management capabilities help leverage knowledge resources and strategic orientation for new product advantages in B-to-B high-technology firms. Journal of Business-to-Business Marketing, 23(2), 87-110. https://doi.org/10.1080/1051712X.2016.1169067.
dc.relation.isbasedonJose, P. E. (2013). Doing statistical mediation and moderation. New York: The Guilford Press.
dc.relation.isbasedonKelloway, E. K. (2015). Using Mplus for Structural Equation Modeling. A Researcher’s Guide. London: Sage Publications.
dc.relation.isbasedonKline, R. B. (2012). Assumptions in structural equation modeling. In R. H. Hoyle (Ed.), Handbook of structural equation modeling (pp. 111-125). New York: The Guliford Press.
dc.relation.isbasedonKline, R. B. (2016). Principles and practice of structural equation modeling. New York: Guliford Press.
dc.relation.isbasedonKocak, A., Carsrud, A., & Oflazoglu, S. (2017). Market, entrepreneurial, and technology orientations: impact on innovation and firm performance. Management Decision, 55(2), 248-270. https://doi.org/10.1108/MD-04-2015-0146.
dc.relation.isbasedonKock, A., Gemünden, H. G., Salomo, S., & Schultz, C. (2011). The mixed blessings of technological innovativeness for the commercial success of new products. Journal of Product Innovation Management, 28(s1), 28-43. https://doi.org/10.1111/j.1540-5885.2011.00859.x.
dc.relation.isbasedonKohli, A. K., & Jaworski, B. J. (1990). Market orientation: The construct, research propositions, and managerial implications. Journal of Marketing, 54(2), 1-18. https://doi.org/10.1177/002224299005400201.
dc.relation.isbasedonKraemer, H. C., Kiernan, M., Essex, M., & Kupfer, D. J. (2008). How and why criteria defining moderators and mediators differ between the Baron & Kenny and MacArthur approaches. Health Psychology, 27(2 Suppl), S101-S108. https://doi.org/10.1037/0278-6133.27.2(Suppl.).S101.
dc.relation.isbasedonLei, P.-W., & Wu, Q. (2012). Estimation in structural equation modeling. In R. H. Hoyle (Ed.), Handbook of structural equation modeling (pp. 164-180). New York: The Guliford Press.
dc.relation.isbasedonMalhotra, 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.
dc.relation.isbasedonMcNally, 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(7), 991-1006. https://doi.org/10.1111/j.1540-5885.2010.00766.x.
dc.relation.isbasedonMoorman, C. (1995). Organizational market information processes: cultural antecedents and new product outcomes. Journal of Marketing Research, 32(3), 318-335. https://doi.org/10.2307/3151984.
dc.relation.isbasedonMuthén, B. O., Muthén, L., & Asparouhov, T. (2016). Regression and mediation analysis using Mplus. Los Angeles: CA: Muthen & Muthen.
dc.relation.isbasedonMuthén, L. K., & Muthén, B. O. (2012). Mplus user’s guide (7th ed.). Los Angeles: CA: Muthén & Muthén.
dc.relation.isbasedonOECD. (2013). OECD Science, Technology and Industry Scoreboard 2013. https://doi.org/10.1787/sti_scoreboard-2013-en.
dc.relation.isbasedonPodsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903. https://doi.org/10.1037/0021-9010.88.5.879.
dc.relation.isbasedonSalavou, H., & Avlonitis, G. (2008). Product innovativeness and performance: a focus on SMEs. Management Decision, 46(7), 969-985. https://doi.org/10.1108/00251740810890168.
dc.relation.isbasedonStejskal, J., Mikušová Meričková, B., & Prokop, V. (2016). The cooperation between enterprises: Significant part of the innovation process – A case study of the Czech machinery industry. E&M Ekonomie a Management, 19(3), 110-122. https://doi.org/10.15240/tul/001/2016-3-008.
dc.relation.isbasedonTatikonda, M. V., & Rosenthal, S. R. (2000). Technology novelty, project complexity, and product development project execution success: A deeper look at task uncertainty in product innovation. IEEE Transactions on Engineering Management, 47(1), 74-87. https://doi.org/10.1109/17.820727.
dc.relation.isbasedonTrujillo, C. A., Barrios, A., Camacho, S. M., & Rosa, J. A. (2010). Low socioeconomic class and consumer complexity expectations for new product technology. Journal of Business Research, 63(6), 538-547. https://doi.org/10.1016/j.jbusres.2009.05.010.
dc.relation.isbasedonVayvay, Ö., & Cruz-Cunha, M. M. (2016). Supplier involvement in new product development: a case study from the semiconductor industry. E&M Ekonomie a Management, 19(3), 123-141. https://doi.org/10.15240/tul/001/2016-3-009.
dc.relation.isbasedonVeldhuizen, E., Hultink, E. J., & Griffin, A. (2006). Modeling market information processing in new product development: An empirical analysis. Journal of Engineering and Technology Management, 23(4), 353-373. https://doi.org/10.1016/j.jengtecman.2006.08.005.
dc.relation.isbasedonWade, 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.
dc.relation.isbasedonWang, J., & Wang, X. (2012). Structural Equation Modeling. Applications Using Mplus. Chichester, West Sussex: John Wiley & Sons.
dc.relation.isbasedonZhang, H., & Yang, F. (2016). The impact of external involvement on new product market performance: An analysis of mediation and moderation. Industrial Management & Data Systems, 116(8), 1520-1539. https://doi.org/10.1108/IMDS-11-2015-0485.
dc.relation.isbasedonZhou, K. Z., Yim, C. K. (Bennett), & Tse, D. K. (2005). The effects of strategic orientations on technology- and market-based breakthrough innovations. Journal of Marketing, 69(2), 42-60. https://doi.org/10.1509/jmkg.69.2.42.60756.
dc.relation.ispartofEkonomie a Managementcs
dc.relation.ispartofEconomics and Managementen
dc.relation.isrefereedtrue
dc.rightsCC BY-NC
dc.subjectnew products managementen
dc.subjecttechnological advancementen
dc.subjectproduct newnessen
dc.subjectmarket informationen
dc.subjecthigh-techen
dc.subject.classificationO31
dc.subject.classificationO32
dc.subject.classificationM31
dc.titleThe Technological Advancement of New Products, Product Newness and Market Informationen
dc.typeArticleen
local.accessopen
local.citation.epage185
local.citation.spage168
local.facultyFaculty of Economics
local.filenameEM_3_2019_11
local.fulltextyes
local.relation.abbreviationE+Mcs
local.relation.abbreviationE&Men
local.relation.issue3
local.relation.volume22
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