Abstract
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This paper investigates headquarters’ value-adding role in knowledge transfer. Transfer performance is considered in terms of both efficiency and effectiveness, and a model that includes headquarters’ distribution of decision-making rights, resource allocation, and direct intervention is tested on 141 innovation transfer projects.
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The findings indicate that headquarters have both positive and negative influences on the efficiency and effectiveness of transfer processes. There is thus a need to consider the inherent trade-offs in the choices made in promoting knowledge transfer.
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Notes
It should be noted that speed is an increasingly important aspect of strategy that is often invested in heavily; in that sense, it could be considered a separate construct or a dimension of effectiveness. While this is valid when it comes to, for example, time to market or establishing a market footprint in a competitive environment with rapidly developing technology, we argue that in a purposeful, directed, and delimited transfer project, adhering to a timeframe is an aspect of efficiency, as delays are usually costly. This is another consequence of considering specific transfer efforts rather than aggregate knowledge flow.
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Appendix: Operationalization of the Latent Variables
Appendix: Operationalization of the Latent Variables
Construct/indicator | Scale | Mean | SD | Label |
HQ involvement in the innovation transfer process |
|
|
| HQIT |
The HQ have formally instructed you to share this innovation with the counterpart* | a | 3.17 | 2.56 | HQIT1 |
The HQ have themselves been heavily involved in conducting the actual transfer process with the counterpart | a | 2.38 | 1.90 | HQIT2 |
The HQ have taken the complete responsibility for the transfer of this innovation to the counterpart | a | 1.54 | 1.30 | HQIT3 |
The transfer of the innovation is driven by a requirement from the HQ | a | 3.11 | 2.36 | HQIT4 |
The transfer of the innovation is driven by HQ evaluation system | a | 2.22 | 1.77 | HQIT5 |
Distribution of decision-making rights |
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| HQDD |
What is the relative influence of your unit compared with division/business area HQ considering the following decisions? |
|
|
|
|
Deciding on investments in production capacity | b | 3.87 | 1.72 | HQDD1 |
Deciding on investments in R&D | b | 4.47 | 1.43 | HQDD2 |
Introducing new products domestically | b | 4.56 | 2.22 | HQDD3 |
Appointing senior managers in your unit | b | 5.06 | 1.49 | HQDD4 |
Availability of resources |
|
|
| Res |
Lack of necessary resources within your unit to put into this specific relationship makes the transfer difficult (reverse coded) | a | 5.12 | 1.68 | Res1 |
Lack of necessary resources in the counterpart to put into this specific relationship makes the transfer difficult (reverse coded) | a | 4.95 | 1.70 | Res2 |
Transfer process efficiency |
|
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| Effic |
The actual costs of innovation transfer were much higher than expected (reverse coded) | a | 4.79 | 1.61 | Effic1 |
The starting point of the innovation transfer was much earlier than expected | a | 3.02 | 1.76 | Effic2 |
The first day of innovation use by the receiver was much earlier than expected | a | 3.55 | 1.70 | Effic3 |
Transfer process effectiveness |
|
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| Effec |
Evaluate to what extent the innovation transfer has been completed | c | 5.73 | 1.64 | Effec1 |
The counterpart adopted the innovation very quickly | b | 4.97 | 1.71 | Effec2 |
The innovation has been very easy to adopt by this counterpart | b | 4.68 | 1.65 | Effec3 |
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Ciabuschi, F., Martín Martín, O. & Ståhl, B. Headquarters’ Influence on Knowledge Transfer Performance. Manag Int Rev 50, 471–491 (2010). https://doi.org/10.1007/s11575-010-0042-3
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DOI: https://doi.org/10.1007/s11575-010-0042-3