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The Moderating Effects of Specificity of Technology in the Knowledge Transfer of Distributive Manufacturing MNEs

The Journal of Distribution Science / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2016, v.14 no.9, pp.121-132
https://doi.org/https://doi.org/10.15722/jds.14.9.201609.121
Cho, Yeon-Sung
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Abstract

Purpose - This study has the following objectives. First, it seeks to build an integrated model that can analyze the path through which headquarters, subsidiary competence, and knowledge transfer performance influence subsidiary performance. Second, it analyzes the influence of the specificity of technology as a moderating effect factor on knowledge transfer process. Third, it will conduct an empirical analysis on distributive manufacturing MNEs and suggests an implication for companies that actually need technological localization. The difference of this study are as follows. First, unlike the existing studies, this study can expand a theoretical discussion as it uses subsidiary performance as the dependent variable. Second, it sets the specificity of technology as a moderating effect factor, not an antecedent, and can draw a theoretical implication. Research design, data, and methodology - This study built a path analysis model to identify the influence of the disseminative capacity and absorptive capacity of distributive manufacturing MNEs on subsidiary performance. Based on the previous studies, it set 19 items as 5 latent variables, and established 6 hypotheses by including the moderating effect of the specificity of technology between them. The final 203 companies were selected as analysis samples through a survey questionnaire. For empirical analysis, the study used PLS (Partial Least Square) that is based on structural equation model. Results - The empirical analysis result demonstrated that both headquarters' disseminative capability and subsidiaries absorptive capacity had a positive influence on knowledge transfer performance. Knowledge transfer performance also had a positive influence on subsidiary performance. In the analysis of moderating effect, the specificity of technology acted as a significant moderating variable only between knowledge transfer performance and subsidiary performance; it did not show a statistically significant moderating effect among disseminative capability, absorptive capacity, and knowledge transfer performance. Conclusions - The empirical analysis results of this study demonstrate the importance of disseminative capability and absorptive capacity in knowledge transfer to subsidiaries from the distributive manufacturing MNEs in Korea. The analysis on the moderating effect indicates that the specificity of technology in Korean companies influences on the process of making achievement by using the transferred knowledge.

keywords
Disseminative Capacity, Absorptive Capacity, Knowledge Transfer Performance, Subsidiary Performance, Specificity of Technology

Reference

1.

Andersson, U., Forsgren, M., & Holm, U. (2001). Subsidiary embeddedness and competence development in MNCs a multi-level analysis. Organization Studies, 22(6), 1013-1034.

2.

Berry, H. (2015). Knowledge Inheritance in Global Industries: The Impact of Parent Firm Knowledge on the Performance of Foreign Subsidiaries. Academy of Management Journal, 58(5), 1438-1458.

3.

Brouthers, K. D., Nakos, G., & Dimitratos, P. (2015). SME entrepreneurial orientation, international performance, and the moderating role of strategic alliances. Entrepreneurship Theory and Practice, 39(5), 1161-1187.

4.

Cho, Y. S. (2015). The Role of Relational Assets and Management Autonomy on the Path to the Performance of Technology Transfer, Korean Corporation Management Review, 22(6), 251-270.

5.

Cegarra-Navarro, J. G., Soto-Acosta, P., & Wensley, A. K. (2016). Structured knowledge processes and firm performance: The role of organizational agility. Journal of Business Research, 69(5), 1544-1549.

6.

Chen, C. J. (2004). The effects of knowledge attribute, alliance characteristics, and absorptive capacity on knowledge transfer performance. R&D Management, 34(3), 311-321.

7.

Dhanaraj, C., Lyles, M. A., Steensma, H. K., & Tihanyi, L. (2004). Managing tacit and explicit knowledge transfer in IJVs: the role of relational embeddedness and the impact on performance. Journal of International Business Studies, 35(5), 428-442.

8.

Fang, Y., Jiang, G. L. F., Makino, S., & Beamish, P. W. (2010). Multinational firm knowledge, use of expatriates, and foreign subsidiary performance. Journal of Management Studies, 47(1), 27-54.

9.

Fang, Y., Wade, M., Delios, A., & Beamish, P. W. (2013). An exploration of multinational enterprise knowledge resources and foreign subsidiary performance. Journal of World Business, 48(1), 30-38.

10.

Ferreras-Méndez, J. L., Newell, S., Fernández-Mesa, A., & Alegre, J. (2015). Depth and breadth of external knowledge search and performance: The mediating role of absorptive capacity. Industrial Marketing Management, 47, 86-97.

11.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.

12.

Grant, R. M. (1996). Toward a knowledge‐based theory of the firm. Strategic Management Journal, 17(S2), 109-122.

13.

Ghassemzadeh, H., Hojabri, R., Eftekhar, F., & Sharifi, M. (2013). Tacit Knowledge Sharing in Health Industry: Influences of, Personal, Organizational and Social Factors. East Asian Journal of Business Management, 3(1), 29-35.

14.

Gopalakrishnan, S., Bierly, P., & Kessler, E. H. (1999). A reexamination of product and process innovations using a knowledge-based view. The Journal of High Technology Management Research, 10(1), 147-166.

15.

Gupta, A. K., & Govindarajan, V. (1991). Knowledge flows and the structure of control within multinational corporations. Academy of Management Review , 16(4), 768-792.

16.

Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1995). Multivariate Data Analysis with Readings, 4th Edition , Englewood Cliffs, NJ: Prentice Hall.

17.

Hojabri, R., Eftekhar, F., Sharifi, M., & Hatamian, A. (2014). Knowledge Management in an Iranian Health organization: Investigation of Critical Success Factors. The Journal of Industrial Distribution & Business, 5(4), 31-42.

18.

Jeong, J. H., & Cho, Y. S. (2014). Moderating Effect of Market Factors in the Relationship of the Technology Transfer Capabilities and the Performance of the Product Development on MNEs in China, Journal of CEO and Management Studies, 17(2), 263-284.

19.

Kogut, B., & Zander, U. (1995). Knowledge, market failure and the multinational enterprise: A reply. Journal of International Business Studies, 417-426.

20.

Kostopoulos, K., Papalexandris, A., Papachroni, M., & Ioannou, G. (2011). Absorptive capacity, innovation, and financial performance. Journal of Business Research, 64(12), 1335-1343.

21.

Leszczyńska, D., & Pruchnicki, E. (2015). The evolution of knowledge transfer and the location of a multinational corporation: Theory and mathematical model. The Multinational Business Review, 23(2), 111-129.

22.

Lichtenthaler, U., & Lichtenthaler, E. (2010). Technology transfer across organizational boundaries: absorptive capacity and desorptive capacity. California Management Review, 53(1), 154-170.

23.

Lindell, M. K., & Whitney, D. J. (2001). Accounting for common method variance in cross-sectional research designs. Journal of Applied Psychology, 86(1), 114-121.

24.

Malm, A. M., Fredriksson, A., & Johansen, K. (2016). Bridging capability gaps in technology transfers within related offsets. Journal of Manufacturing Technology Management, 27(5), 640-661.

25.

Meso, P., & Smith, R. (2000). A resource-based view of organizational knowledge management systems. Journal of Knowledge Management, 4(3), 224-234.

26.

Monteiro, L. F., Arvidsson, N., & Birkinshaw, J. (2008). Knowledge flows within multinational corporations:Explaining subsidiary isolation and its performance implications. Organization Science, 19(1), 90-107.

27.

Simonin, B. L. (1999). Ambiguity and the process of knowledge transfer in strategic alliances. Strategic Management Journal, 20(7), 595-623.

28.

Nickerson, J. A., & Zenger, T. R. (2004). A knowledge-based theory of the firm — The problem-solving perspective. Organization Science, 15(6), 617-632.

29.

Nonaka, I., Toyama, R., & Nagata, A. (2000). A firm as a knowledge-creating entity: a new perspective on the theory of the firm. Industrial and Corporate Change, 9(1), 1-20.

30.

Park, C., & Vertinsky, I. (2016). Reverse and conventional knowledge transfers in international joint ventures. Journal of Business Research, 69(8), 2821-2829.

31.

Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903.

32.

Sheng, M. L., Hartmann, N. N., Chen, Q., & Chen, I. (2015). The Synergetic Effect of Multinational Corporation Management's Social Cognitive Capability on Tacit-Knowledge Management:Product Innovation Ability Insights from Asia. Journal of International Marketing , 23(2), 94-110.

33.

Schulze, A., Brojerdi, G., & Krogh, G. (2014). Those who know, do. Those who understand, teach. Disseminative capability and knowledge transfer in the automotive industry. Journal of Product Innovation Management, 31(1), 79-97.

34.

Szulanski, G., Cappetta, R., & Jensen, R. J. (2004). When and how trustworthiness matters: Knowledge transfer and the moderating effect of causal ambiguity. Organization Science, 15(5), 600-613.

35.

Tang, F., Mu, J., & MacLachlan, D. L. (2010). Disseminative capacity, organizational structure and knowledge transfer. Expert Systems with Applications, 37(2), 1586-1593.

36.

Vaccaro, A., Parente, R., & Veloso, F. M. (2010). Knowledge management tools, inter-organizational relationships, innovation and firm performance. Technological Forecasting and Social Change, 77(7), 1076-1089.

37.

Winkelbach, A., & Walter, A. (2015). Complex technological knowledge and value creation in science-to-industry technology transfer projects:The moderating effect of absorptive capacity. Industrial Marketing Management, 47, 98-108.

38.

Wold, H. (1966). Estimation of principal components and related models by iterative least squares. Multivariate Analysis, 1, 391-420.

39.

Zhatkanbaev, E. B., Mukhtar, E. S., & Suyunchaliyeva, M. M. (2015). Innovative Mechanisms in the Procurement Logistics of Kazakhstan. The Journal of Asian Finance, Economics and Business, 2(3), 33-36.

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