Abstract
The reuse of organizational practices in multiple locations is a fundamental way in which MNCs leverage knowledge to seek competitive advantage. Scholars approaching the issue of adaptation from both a market and an institutional perspective argue that, in order to achieve fit with the local environment, some degree of adaptation is advisable, and the need for adaptation increases as the institutional distance between source and recipient locations increases. However, arguments to date have examined the effect of adaptation primarily on a subsidiary's long-term performance. A necessary precursor is to understand the effect of adaptation on the transfer process itself, as transfer difficulty, or stickiness, may preclude the reuse of an organizational practice in the first place. In this paper, we explore how the adaptation of organizational practices affects the stickiness of cross-border transfers. We use structural equation modeling to analyze data from 122 internal transfers of best practice. Contrary to expectation, we find that adaptation significantly increases, rather than decreases, the stickiness of cross-border knowledge transfer.
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Notes
Organizational practices, or routines, can be conceived of as a web of coordinating relationships connecting specific resources, which, in operation, produce a firm's products in an ongoing fashion (Nelson and Winter, 1982; Argote and Ingram, 2000). This broad definition includes things such as manufacturing production lines, hiring practices, and software development.
‘Adaptation’ in this paper refers to adaptation occurring as part of the actual process of transfer prior to or during the transfer of the organizational practice. Adaptation can occur at any time, but only that adaptation that occurs before or during the transfer is likely to affect the transfer itself.
The third of Scott's (2001) three types of institution, regulatory institutions, is less relevant to this study as it primarily affects the ability to initiate transfers rather than creating difficulties influencing the process once the transfer is under way (Kostova and Zaheer, 1999).
The sample contained both technical and administrative practices. Examples of technical practices are software development procedures and drawing standards. Examples of administrative practices are upward appraisal and activity-based costing (ABC). Full disclosure of the practices studied is precluded by a guarantee of confidentiality.
When constructing path-analytic models, it is customary to use confirmatory factor analysis (CFA) to establish the convergent and discriminant validity of the constructs. However, a widely used rule of thumb is that the sample size should be 10–20 times the number of parameters being estimated in the model (Kline, 1998), requiring a significantly large sample if multi-item scales are used. As research into the transfer of organizational practices is relatively new, and single-item scales are typically unreliable, we opted to use multiple-item scales despite the fact that large samples of intra-firm practice transfers are rare and difficult to obtain. As the use of CFA results in unstable estimates when the sample size is small compared with the number of parameters being estimated (Kline, 1998), we chose to use other traditional methods to establish construct validity before specifying the structural equation model.
We also conducted discriminant validity tests using confirmatory factor analysis. No confidence interval for any latent factor correlation included 1.0. This further corroborates the conclusion that all factors are indeed separate and distinct.
Such a band of 3.5 months can be considered narrow, because it means that all transfers were sampled early on in the integration stage, which has been documented to last between 1.5 and 2 years.
The interaction term, following Ping (1995), is constructed by multiplying the two latent variables. Anderson and Gerbing (1988) suggest that such an approach is justified when the latent variables are unidimensional, as they are here.
See Kline (1998: chapter 5) for the methodology behind testing mediating effects in structural equation models.
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Acknowledgements
We acknowledge helpful comments and suggestions from Sidney Winter, Mauro Guillen, Marshall Meyer, Linda Cohen, anonymous reviewers from JIBS and the Academy of Management's BPS Division, and the JIBS Departmental Editors Nicolai Juul Foss and Torben Pedersen.
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Accepted by Nicolai Juul Foss and Torben Pedersen, Departmental Editors, 2004. This paper has been with the authors for two revisions.
Appendix: Operationalization of variables
Appendix: Operationalization of variables
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1)
Each sentence in the description of the scales below is the full text of the question as it appears in the questionnaire.
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2)
Sections in brackets << >> indicate the text that was personalized for each different transfer and unit: that is, the names of the units and practices were specific to the transfer in question.
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3)
Unless otherwise indicated, answers were scored using the default scale (Y! Y O N N!).
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Key for the default scale: Y!=‘Yes!’; Y =‘yes, but’; O =‘no opinion’; N =‘no, not really’; N!=‘No!’
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The overall score for each scale was computed by adding the standardized scores obtained from each question.
Stickiness – Implementation (α=0.84, Items=18) Default Scale Unless Indicated
<<recipient>> recognized <<source>>'s expertise on <<practice>>. The transfer of <<practice>> from <<source>> to <<recipient>> disrupted <<source>> normal operations. <<Recipient>> could not free personnel from regular operations so that it could be properly trained. Communication of transfer-related information broke down within <<recipient>>. <<Recipient>> was able to recognize inadequacies in <<source>>'s offerings. <<Recipient>> knew what questions to ask <<source>>. <<Recipient>> knew how to recognize its requirements for <<practice>>. <<Source>> turned out to be less knowledgeable of the <<practice>> than it appeared before the transfer was decided. Much of what <<recipient>> should have done during the transfer was eventually completed by <<source>>. <<Source>> understood <<recipient>>'s unique situation. All aspects of the transfer of <<practice>> from <<source>> to <<recipient>> were carefully planned. Initially <<recipient>> ‘spoon fed’ the <<practice>> with carefully selected personnel and raw material until it got up to speed. At first <<recipient>> measured performance more often than usual, sometimes reacting too briskly to transient declines in performance. Some people left <<recipient>> after having been trained for the new role in the <<practice>>, forcing <<recipient>> to hire hastily a replacement and train it ‘on the fly’. Some people turned out to be poorly qualified to perform their new role in the <<practice>>, forcing <<recipient>> to hire hastily a replacement and train it ‘on the fly’. The <<practice>> had unsatisfactory side-effects which <<recipient>> had to correct. Outside experts (from <<source>>, other units, or external consultants) could answer questions and solve problems about their specialty but did not have an overall perspective on the <<practice>>. Teams put together to help <<recipient>> to get up to speed with the <<practice>> disbanded because their members had to attend to other pressing tasks.
Adaptation (α = 0.76, Items = 7) Default Scale Unless Indicated
Compared to that of <<source>>, <<recipient>>'s <<practice>> is: (circle one option) 1=‘Exactly the same’; 2=‘Essentially the same’; 3=‘Slightly modified’, 4=‘Markedly modified’, 5=‘Completely different’. <<Recipient>> performed unnecessary modifications to the <<practice>>. <<Recipient>> modified the <<practice>> in ways contrary to expert's advice. <<Recipient>>'s environment turned out to be different from that of <<source>> forcing <<recipient>> to make unforeseen changes to <<practice>>. The <<practice>> had to be adapted to make it workable at <<recipient>>. A practice could be thought of as composed of separable modules, some essential for its functioning, some not. Each of these modules may be included or may be excluded during a transfer. Thinking about the <<practice>> as a set of modules, please circle the most correct assertion: 1=‘All modules have been transferred’; 2=‘Only selected, but all the essential modules have been transferred’; 3=‘Only the essential modules have been transferred’, 4=‘Only selected modules, some essential some not, have been transferred’, 5=‘None of the modules have been transferred’. Some components for the <<practice>> were replaced by existing ones at <<recipient>>.
Recipient Motivation (α=0.93, Items=14) Binary Items
Recipient saw benefit in: measuring its own performance; comparing it with the performance of other units; understanding its own practices; absorbing <<source>>'s understanding; analyzing the feasibility of adopting <<practice>>; communicating its needs to <<source>>; planning the transfer; implementing the systems and facilities for <<practice>>, assigning personnel full time to the transfer; assigning personnel to be trained in <<practice>>; understanding the implications of the transfer; troubleshooting <<practice>>; insuring that its people knew their jobs; ensuring that its people consented to keep doing their jobs.
Causal Ambiguity (α=0.86, Items=8) Default Scale
The limits of the <<practice>> are fully specified. With the <<practice>>, we know why a given action results in a given outcome. When a problem surfaced with the <<practice>>, the precise reasons for failure could not be articulated, even after the event. There is a precise list of the skills, resources and prerequisites necessary for successfully performing the <<practice>>. It is well known how the components of that list interact to produce <<practice>>'s output. Operating procedures for the <<practice>> are available. Useful manuals for the <<practice>> are available. Existing work manuals and operating procedures describe precisely what people working in the <<practice>> actually do.
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Jensen, R., Szulanski, G. Stickiness and the adaptation of organizational practices in cross-border knowledge transfers. J Int Bus Stud 35, 508–523 (2004). https://doi.org/10.1057/palgrave.jibs.8400107
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DOI: https://doi.org/10.1057/palgrave.jibs.8400107