Towards a kernel theory of external knowledge integration for high-tech firms: Exploring a failed theory test

Designing information systems (ISs) requires a thorough understanding of the organizational knowledge processes in which these systems are used. Although much is known about internal organizational knowledge processes, the understanding of external knowledge processes is less developed. Hence, this paper reflects an attempt to operationalize and test a model of the process of external knowledge integration (EKI), consisting of an identification, acquisition, and utilization stage. We utilize high-technology based firms from a variety of high-tech categories including nanotechnology based firms since these firms have critical knowledge integration needs. The results of an international survey, with responses of 317 high-tech companies, suggest that not these three EKI-stages, but four organizational effectiveness functions (goal attainment, pattern maintenance, adaptation, and integration) account for most variation in responses. These findings seem to imply that ISs that are to support the EKI-process should be designed according to organizational effectiveness functions rather than to EKI-stages. It is proposed that each organizational effectiveness function imposes different requirements on ISs because users interact differently with IS in each function.     

Assessing the needs of new technology based firms (NTBFs): An investigation among spin-off companies from six European Universities

New technology based firms (NTBFs) play a major role in the development and commercialisation of new technologies and the development of national economies. Using an entrepreneurship-in-networks approach, this paper examines the early stages of the development of these companies, i.e. from opportunity recognition through opportunity exploration. Case study data was collected on 22 NTBFs from six European universities. The findings highlight specific needs related to five functional areas of importance to NTBFs, namely: R&D, market development and sales, organisation and governance, finance and administration, and production/operation. These needs are reported for both the pre- and post-foundation phases and can thus be utilised by both entrepreneurs and support agencies to guide the development of NTBFs.     

Open Innovation in Practice: Goal Complementarity and Closed NPD Networks to Explain Differences in Innovation Performance for SMEs in the Medical Devices Sector

Cooperation with other organizations increases the innovation performance of organization, especially for small and medium‐sized enterprises (SMEs) as they encounter liabilities of “smallness” (e.g., limited financial resources, and manpower). In the medical devices sector, collaboration with external partners for NPD becomes increasingly important due to the complexity of the products and the development process. About 80% of companies in this sector are SMEs. These companies operate in a highly regulated sector, which affects the organization of the external network required for the new product development (NPD) process. SMEs are practicing extensively open innovation activities, but in practice face a number of barriers in trying to apply open innovation. This paper examines multiple network characteristics simultaneously in relation to innovation performance and thereby aligns with and builds further on configuration theory. Configuration theory posits that for each set of network characteristics, there exists an ideal set of organizational characteristics that yields superior performance. In this research, the systems approach to fit is used. Fit is high to the extent that an organization is similar to an ideal profile along multiple dimensions. This ideal profile represents the network profile that the 15% highest performing companies use. It is argued that the smaller the distance between the ideal profile and the network profile that is used, the higher the performance. The objective of this research is (1) to examine the relation between the ideal profile and innovation performance and (2) to examine which organization of the network profile is related to high innovation performance. Quantitative survey data (n = 60, response rate 61.9%) form the core of this research. The quantitative results are clarified and have been triangulated with qualitative interview data (n = 50). Our findings suggest the presence of an “ideal” NPD network profile (in terms of goal complementarity, resource complementarity, fairness trust, reliability trust, and network position strength): the more a company's NPD network profile differs from this ideal profile, the lower the innovation performance. In addition, the results of our study indicate that the NPD network profiles of successful and less successful SMEs in the medical devices sector significantly differ in terms of “goal complementarity,” while this is less the case for trust and resource complementarity labeled distinctive by previous research. Finally, results show that a relatively closed, focused, and consistent “business‐like” NPD networking approach, which is characterized by result orientation and professionalism, is related to high innovation performance. It is recommended that SMEs in the medical devices sector aiming to distinguish themselves from competitors in terms of innovation performance focus on goal complementarity while adopting such a business‐like attitude toward their NPD network partners.     

Marketing Ignorance and the Validity of Narver and Slater's MKTOR Scale in High‐Tech Russian Firms

A firm's market orientation is an important factor influencing its ability to successfully develop and introduce new products. To measure market orientation, Narver and Slater's MKTOR scale has been accepted in the literature as a valid and reliable scale. In fact, it can be considered state of the art. This study, though, challenges the validity of that scale in high‐tech industries and transition economies. As part of a larger study, the scale was used to measure the market orientation of 10 Russian high‐tech small‐ and medium‐sized enterprises, next to other measures of market orientation. These were the respondent's perceptions of their market orientation; the firm's philosophy on selling goods/services or solving customer problems; and in‐depth interview questions on goals, strategies, network ties, targeted market segments, and competitive advantage. It was found that the firms obtained high scores on the MKTOR scale but that these scores were accompanied by ideas and behaviors reflecting a low or even lacking market orientation. On a scale from 1 to 7, the firms average 6.2 on customer orientation, but at the same time, they are not aware that they do not have customer‐focused strategies and do not fully understand the chain in which they operate. Further, the average on competitor orientation is 5.4. Some firms have competitor‐oriented characteristics, but others are ignorant of their competition and believe in their technological superiority as a source of competitive advantage. Analyzing these anomalies, it is concluded that the scale requires a minimum level of marketing knowledge of respondents. Without such knowledge, the MKTOR scale is susceptible to the respondent's unconscious incapability, thereby producing invalid results. In the 10 Russian cases, the respondents did not have much experience or education in marketing, which explains why they were incapable of adequately answering the items of the MKTOR scale. The results of this study help to explain the ambivalent findings in the literature about the effect of market orientation on innovation and new product development in high‐tech sectors and transition economies. The paper concludes with suggestions on how market orientation could be better measured in such contexts. It is suggested to replace the Likert‐scale by a semantic differential scale, where statements reflecting product, production, and sales orientations are confronted with statements reflecting a market orientation. Given the importance of experience and education in marketing as positive antecedents, measures of these factors should be included in the scale as well. With these adaptations, measures of market orientation will be more factual, will require less knowledge of marketing terminology, will reduce bias caused by respondents' perceptions, and will prevent ambiguity in terminology.