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

DSpace Repository

Show simple item record

dc.contributor.author Dabrowski, Dariusz
dc.contributor.other Ekonomická fakulta cs
dc.date.accessioned 2019-09-16T08:54:22Z
dc.date.available 2019-09-16T08:54:22Z
dc.identifier.issn 1212-3609
dc.identifier.uri https://dspace.tul.cz/handle/15240/153580
dc.description.abstract The 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.format text
dc.language.iso en
dc.publisher Technická Univerzita v Liberci cs
dc.publisher Technical university of Liberec, Czech Republic en
dc.relation.ispartof Ekonomie a Management cs
dc.relation.ispartof Economics and Management en
dc.relation.isbasedon 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.
dc.relation.isbasedon Armstrong, 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.isbasedon Avlonitis, 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.isbasedon 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.
dc.relation.isbasedon Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99-120. https://doi.org/10.1177/014920639101700108.
dc.relation.isbasedon 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/10.1037/0022-3514.51.6.1173.
dc.relation.isbasedon Bonnet, 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.isbasedon Chen, 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.isbasedon Dabrowski, D. (2008). New product practices and performance of German appliances companies. Argumenta Oeconomica, 2(21), 153-176.
dc.relation.isbasedon Danneels, 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.isbasedon Davis, 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.isbasedon 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.
dc.relation.isbasedon DiStefano, 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.isbasedon Dyer, 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.isbasedon Feng, 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.isbasedon 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.
dc.relation.isbasedon Galbraith, J. (1973). Designing Complex Organizations. Boston: Addison-Wesley Longman Publishing Co.
dc.relation.isbasedon Gao, 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.isbasedon Gatignon, 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.isbasedon Gerbing, 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.isbasedon Griffin, 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.isbasedon Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis (7th ed.). Edinburgh Gate: Pearson Education.
dc.relation.isbasedon 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.
dc.relation.isbasedon Henard, 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.isbasedon 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.
dc.relation.isbasedon 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.
dc.relation.isbasedon Im, 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.isbasedon Jose, P. E. (2013). Doing statistical mediation and moderation. New York: The Guilford Press.
dc.relation.isbasedon Kelloway, E. K. (2015). Using Mplus for Structural Equation Modeling. A Researcher’s Guide. London: Sage Publications.
dc.relation.isbasedon 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 Guliford Press.
dc.relation.isbasedon Kline, R. B. (2016). Principles and practice of structural equation modeling. New York: Guliford Press.
dc.relation.isbasedon Kocak, 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.isbasedon Kock, 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.isbasedon Kohli, 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.isbasedon Kraemer, 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.isbasedon Lei, 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.isbasedon 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.
dc.relation.isbasedon 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(7), 991-1006. https://doi.org/10.1111/j.1540-5885.2010.00766.x.
dc.relation.isbasedon Moorman, 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.isbasedon Muthén, B. O., Muthén, L., & Asparouhov, T. (2016). Regression and mediation analysis using Mplus. Los Angeles: CA: Muthen & Muthen.
dc.relation.isbasedon Muthén, L. K., & Muthén, B. O. (2012). Mplus user’s guide (7th ed.). Los Angeles: CA: Muthén & Muthén.
dc.relation.isbasedon OECD. (2013). OECD Science, Technology and Industry Scoreboard 2013. https://doi.org/10.1787/sti_scoreboard-2013-en.
dc.relation.isbasedon Podsakoff, 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.isbasedon Salavou, 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.isbasedon Stejskal, 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.isbasedon Tatikonda, 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.isbasedon Trujillo, 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.isbasedon Vayvay, 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.isbasedon Veldhuizen, 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.isbasedon 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.
dc.relation.isbasedon Wang, J., & Wang, X. (2012). Structural Equation Modeling. Applications Using Mplus. Chichester, West Sussex: John Wiley & Sons.
dc.relation.isbasedon Zhang, 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.isbasedon Zhou, 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.rights CC BY-NC
dc.subject new products management en
dc.subject technological advancement en
dc.subject product newness en
dc.subject market information en
dc.subject high-tech en
dc.subject.classification O31
dc.subject.classification O32
dc.subject.classification M31
dc.title The Technological Advancement of New Products, Product Newness and Market Information en
dc.type Article en
dc.publisher.abbreviation TUL
dc.relation.isrefereed true
dc.identifier.doi 10.15240/tul/001/2019-3-011
dc.identifier.eissn 2336-5604
local.relation.volume 22
local.relation.issue 3
local.relation.abbreviation E+M cs
local.relation.abbreviation E&M en
local.faculty Faculty of Economics
local.citation.spage 168
local.citation.epage 185
local.access open
local.fulltext yes
local.filename EM_3_2019_11
dc.identifier.orcid 0000-0002-2045-2683 Dabrowski, Dariusz


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace

Advanced Search

Browse

My Account