The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Market Orientation, Creativity, and New Product Performance in High-Technology Firms
Abstract
The ability to generate and market creative ideas in new products (NPs) and related marketing programs (MPs) in response to changing market needs is key to the success of a firm. This research examines the mediating role of NP and MP creativity between market orientation and NP success. The authors investigate (1) whether market orientation facilitates or inhibits creativity, (2) whether creativity influences NP performance, and (3) how to define and measure creativity in the NP development and launch contexts. They use a two-stage sampling frame to collect 312 sets of responses from managers and NP team leaders and thereby address the potential for common method bias in measures of creativity and NP performance. The findings indicate that NP and MP creativity mediates the relationship between market orientation and NP success. The authors also show that the meaningfulness dimension, rather than the novelty dimension, of creativity is of greater importance in explaining the link between market orientation and NP success. The empirical results provide significant theoretical and managerial implications for NP strategy.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Firm Resources and Sustained Competitive Advantage
Barney, J. (1991) · Journal of Management · doi:10.1177/014920639101700108 · Cited by 48,334
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
Alternative Ways of Assessing Model Fit
Browne, M. W., & Cudeck, R. (1992) · Sociological Methods & Research · doi:10.1177/0049124192021002005 · Cited by 27,200
On the Evaluation of Structural Equation Models
Bagozzi, R. P., & Yi, Y. (1988) · Journal of the Academy of Marketing Science · doi:10.1007/bf02723327 · Cited by 26,163
A Paradigm for Developing Better Measures of Marketing Constructs
Churchill, G. A. (1979) · Journal of Marketing Research · doi:10.1177/002224377901600110 · Cited by 16,549
Estimating Nonresponse Bias in Mail Surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.2307/3150783 · Cited by 12,222
Estimating nonresponse bias in mail surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.1177/002224377701400320 · Cited by 10,390
Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
Belsley, D. A., Kuh, E., & Welsch, R. E. (1980) · Wiley Series in Probability and Statistics · doi:10.1002/0471725153 · Cited by 7,297
The social psychology of creativity: A componential conceptualization.
Amabile, T. M. (1983) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.45.2.357 · Cited by 4,034
Hurley, R. F., & Hult, G. T. M. (1998) · Journal of Marketing · doi:10.1177/002224299806200303 · Cited by 3,971
Kirca, A. H., Jayachandran, S., & Bearden, W. O. (2005) · Journal of Marketing · doi:10.1509/jmkg.69.2.24.60761 · Cited by 2,182
A General Approach for Representing Constructs in Organizational Research
Bagozzi, R. P., & Edwards, J. R. (1998) · Organizational Research Methods · doi:10.1177/109442819800100104 · Cited by 1,217
Construct Validity: A Review of Basic Issues and Marketing Practices
Peter, J. P. (1981) · Journal of Marketing Research · doi:10.2307/3150948 · Cited by 1,189
Cited by
Kirca, A. H., Jayachandran, S., & Bearden, W. O. (2005) · Journal of Marketing · doi:10.1509/jmkg.69.2.24.60761 · Cited by 2,182
Frambach, R. T., Fiss, P. C., & Ingenbleek, P. T. M. (2016) · Journal of Business Research · doi:10.1016/j.jbusres.2015.10.120 · Cited by 230
Top management commitment and involvement and their link to key account management effectiveness
Tzempelikos, N. (2015) · Journal of Business & Industrial Marketing · doi:10.1108/jbim-12-2012-0238 · Cited by 68
The unseen burden: How ambidextrous leadership erodes managers' well-being
Jia, J., Liu, W., Zhang, S. X., & Luo, W. (2024) · Journal of Business Research · doi:10.1016/j.jbusres.2024.114802 · Cited by 18
Metadata
- Authors
- Im, S., & Workman, J. P.
- Venue
- Journal of Marketing
- Publisher
- SAGE Publications
- Published
- 2004-04
- Volume
- 68
- Issue
- 2
- Pages
- 114-132
- ISSN
- 0022-2429 (ISSN-L)
- 1547-7185
- OpenAlex
- W2108589723
- Cited by
- 1,084
- References
- 13
- FWCI
- 59.94
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.