The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
The Role of Existing Knowledge in New Product Innovativeness and Performance
Abstract
The purpose of this study is to provide a more thorough assessment of the link between existing knowledge and organizational performance than currently exists in the literature. We identify factors and processes influential in the management of existing knowledge within the areas of learning culture, knowledge building, and organizational performance. Through structural equation modeling, a more thorough examination is given of the role existing knowledge plays in new product performance and innovativeness. In completing this task, we provide insight into the subprocesses of knowledge building by evaluating the influence of shared interpretation and two aspects of information acquisition—efficiency and degree of innovativeness of newly acquired information—on new product development (NPD) outcomes. Included in the examination of these processes are organizational culture and structure characteristics believed to influence knowledge management success.
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Cites
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
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
Absorptive Capacity: A New Perspective on Learning and Innovation
Cohen, W. M., & Levinthal, D. A. (1990) · Administrative Science Quarterly · doi:10.2307/2393553 · Cited by 35,728
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
Exploration and Exploitation in Organizational Learning
March, J. G. (1991) · Organization Science · doi:10.1287/orsc.2.1.71 · Cited by 21,942
The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation
Nonaka, I., & Takeuchi, H. (1995) · doi:10.1093/oso/9780195092691.001.0001 · Cited by 18,010
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
Organizational learning: The contributing processes and the literatures
Huber, G. P. (1991) · Organization Science · doi:10.1287/orsc.2.1.88 · Cited by 8,072
The Effect of a Market Orientation on Business Profitability
Narver, J. C., & Slater, S. F. (1990) · Journal of Marketing · doi:10.1177/002224299005400403 · Cited by 7,947
Cited by
The effects of entrepreneurial orientation and marketing information on the performance of SMEs
Keh, H. T., Nguyen, T. T. M., & Ng, H. P. (2007) · Journal of Business Venturing · doi:10.1016/j.jbusvent.2006.05.003 · Cited by 943
The role of organizational culture in the knowledge management process
Chang, C. L.-H., & Lin, T.-C. (2015) · Journal of Knowledge Management · doi:10.1108/jkm-08-2014-0353 · Cited by 332
Vey, K., Fandel-Meyer, T., Zipp, J. S., & Schneider, C. (2017) · International Journal of Advanced Corporate Learning (iJAC) · doi:10.3991/ijac.v10i1.6334 · Cited by 131
Franchise Partnership and International Expansion: A Conceptual Framework and Research Propositions
Grewal, D., Iyer, G. R., Javalgi, R. (. G., & Radulovich, L. (2011) · Entrepreneurship Theory and Practice · doi:10.1111/j.1540-6520.2011.00444.x · Cited by 78
Organizational knowledge and collaborative human resource practices as determinants of innovation
Nieves, J., Quintana, A., & Osorio, J. (2016) · Knowledge Management Research & Practice · doi:10.1057/kmrp.2014.26 · Cited by 42
Metadata
- Authors
- Brockman, B. K., & Morgan, R. M.
- Venue
- Decision Sciences
- Publisher
- Wiley
- Published
- 2003-05
- Volume
- 34
- Issue
- 2
- Pages
- 385-419
- ISSN
- 0011-7315 (ISSN-L)
- 1540-5915
- OpenAlex
- W2063742502
- Cited by
- 438
- References
- 73
- FWCI
- 24.39
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
