Abstract
This paper proposes a framework to identify and evaluate companies from the technological perspective to support merger and acquisition (M&A) target selection decision-making. This employed a text mining-based patent map approach to identify companies which can fulfill a specific strategic purpose of M&A for enhancing technological capabilities. The patent map is the visualized technological landscape of a technology industry by using technological proximities among patents, so companies which closely related to the strategic purpose can be identified. To evaluate the technological aspects of the identified companies, we provide the patent indexes that evaluate both current and future technological capabilities and potential technology synergies between acquiring and acquired companies. Furthermore, because the proposed method evaluates potential targets from the overall corporate perspective and the specific strategic perspectives simultaneously, more robust and meaningful result can be obtained than when only one perspective is considered. Thus, the proposed framework can suggest the appropriate target companies that fulfill the strategic purpose of M&A for enhancing technological capabilities. For the verification of the framework, we provide an empirical study using patent data related to flexible display technology.
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References
Abraham, B. P., & Moitra, S. D. (2001). Innovation assessment through patent analysis. Technovation, 21(4), 245–252.
Ali-Yrkkö, J., Hyytinen, A., & Pajarinen, M. (2005). Does patenting increase the probability of being acquired? Evidence from cross-border and domestic acquisitions. Applied Financial Economics, 15(14), 1007–1017.
Ashton, W. B., & Sen, R. K. (1988). Using patent information in technology business planning I. Research Technology Management, 31(6), 42–46.
Basberg, B. L. (1987). Patents and the measurement of technological change: A survey of the literature. Research Policy, 16(2–4), 131–141.
Bell, M. (2009). Innovation capabilities and directions of development, STEPS. WP 33. Brighton: STEPS Centre.
Bergmann, I., Butzke, D., Walter, L., Fuerste, J. P., Moehrle, M. G., & Erdmann, V. A. (2008). Evaluating the risk of patent infringement by means of semantic patent analysis: The case of DNA chips. R&D Management, 38(5), 550–562.
Borgatti, S. P., Everett, M. G., & Freeman, L. C. (2002). UCINET for Windows: Software for social network analysis.
Bower, J. L. (2001). Not all M&As are alike-and that matters. Harvard Business Review, 79(3), 92.
Cameron, E., & Green, M. (2009). Making sense of change management: A complete guide to the models, tools and techniques of organizational change. London: Kogan Page Ltd.
Carey, D., & Ogden, D. (2000). CEO succession. USA: Oxford University Press.
Cartwright, S., & Cooper, C. L. (1993). The psychological impact of merger and acquisition on the individual: A study of building society managers. Human Relations, 46(3), 327.
Cassiman, B., & Veugelers, R. (2006). In search of complementarity in innovation strategy: Internal R&D and external knowledge acquisition. Management Science, 52(1), 68.
Cassiman, B., Veugelers, R., & Fabra, U. P. (2000). External technology sources: Embodied or disembodied technology acquisition. Economics and Business Working.
Chen, M. J. (2001). Inside Chinese business: A guide for managers worldwide. Boston: Harvard Business Press.
Chen, C., & Findlay, C. (2003). A review of cross-border mergers and acquisitions in APEC. Asian-Pacific Economic Literature, 17(2), 14–38.
Cho, D. H., & Yu, P. I. (2000). Influential factors in the choice of technology acquisition mode: An empirical analysis of small and medium size firms in the Korean telecommunication industry. Technovation, 20(12), 691–704.
Christensen, C., Alton, R., & Rising, C. (2011). The new M&A Playbook. Harvard Business Review, 89(3), 48–57.
Cockburn, I., Henderson, R., & Stern, S. (1999). Balancing incentives: The tension between basic and applied research. National Bureau of Economic Research.
Cox, T. H., & Blake, S. (1991). Managing cultural diversity: Implications for organizational competitiveness. The Executive, 5, 45–56.
De Man, A. P., & Duysters, G. (2005). Collaboration and innovation: A review of the effects of mergers, acquisitions and alliances on innovation. Technovation, 25(12), 1377–1387.
Drucker, P. F. (1997). Drucker on asia: A dialogue between peter drucker and isao nakauchi. Oxford: Butterworth-Heinemann.
Drucker, P. F. (2006). The practice of management. New York: Harper Paperbacks.
Engelsman, E. C., & van Raan, A. F. J. (1994). A patent-based cartography of technology. Research Policy, 23(1), 1–26.
Ernst, H. (2001). Patent applications and subsequent changes of performance: Evidence from time-series cross-section analyses on the firm level. Research Policy, 30(1), 143–157.
Ernst, H. (2003). Patent information for strategic technology management. World Patent Information, 25(3), 233–242.
Field, A. (2009). Discovering statistics using SPSS. Beverly Hills: Sage Publications.
Fosfuri, A. (2006). The licensing dilemma: Understanding the determinants of the rate of technology licensing. Strategic Management Journal, 27(12), 1141–1158.
García-Muiña, F. E., & Navas-López, J. E. (2007). Explaining and measuring success in new business: The effect of technological capabilities on firm results. Technovation, 27(1–2), 30–46.
Gaughan, P. A. (2010). Mergers, acquisitions, and corporate restructurings. New York: Wiley.
Geiger, S. W., & Makri, M. (2006). Exploration and exploitation innovation processes: The role of organizational slack in R & D intensive firms. The Journal of High Technology Management Research, 17(1), 97–108.
Gerken, J. M., & Moehrle, M. G. (2012). A new instrument for technology monitoring: Novelty in patents measured by semantic patent analysis. Scientometrics, 91(3), 645–670.
Griliches, Z. (1998). Patent statistics as economic indicators: A survey. Chicago: University of Chicago Press.
Guellec, D., & van Pottelsberghe de la Potterie, B. (2000). Applications, grants and the value of patent. Economics Letters, 69(1), 109–114.
Gupta, V., & Pangannaya, N. (2000). Carbon nanotubes: Bibliometric analysis of patents. World Patent Information, 22(3), 185–189.
Gutierrez, L., Nagda, B., Raffoul, P., & McNeece, C. (1996). The multicultural imperative in human service organizations. In A. M. Paul Raffoul (Ed.), Future issues in social work practice (pp. 203–213). Boston: Allyn & Bacon.
Hall, B. H., Jaffe, A. B., & Trajtenberg, M. (2000). Market value and patent citations: A first look. National Bureau of Economic Research.
Helfat, C. E., & Lieberman, M. B. (2002). The birth of capabilities: Market entry and the importance of pre-history. Industrial and Corporate Change, 11(4), 725–760.
Inkpen, A. C., Sundaram, A. K., & Rockwood, K. (2002). Cross-border 11 acquisitions of US technology assets. International Mergers and Acquisitions: A Reader (p. 228).
Jagersma, P. K. (2005). Cross-border acquisitions of European multinationals. Journal of General Management, 30(3), 13–34.
James, A. D., Georghiou, L., & Stanley Metcalfe, J. (1998). Integrating technology into merger and acquisition decision making. Technovation, 18(8–9), 563–573.
Kengelbach, J., & Roos, A. (2011). Riding the next wave in M&A: Where are the opportunities to create value?. Boston: The Boston Consulting Group (BCG).
KIPO. (2008). Patent trend analysis of flexible display technology. KIPO (Korean Intellectual Property Office).
Kostoff, R. N., Toothman, D. R., Eberhart, H. J., & Humenik, J. A. (2001). Text mining using database tomography and bibliometrics: A review. Technological Forecasting and Social Change, 68(3), 223–253.
Kruskal, J. B. (1964). Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. Psychometrika, 29(1), 1–27.
Lawson, B., & Samson, D. (2001). Developing innovation capability in organisations: A dynamic capabilities approach. International Journal of Innovation Management, 5, 377–400.
Lee, S., Yoon, B., & Park, Y. (2009). An approach to discovering new technology opportunities: Keyword-based patent map approach. Technovation, 29(6–7), 481–497.
Lin, D. (2003). Dependency-based evaluation of MINIPAR. In A. Abeillé (Ed.), Treebanks: Building and using parsed corpora (pp. 317–332). Dordrecht: Kluwer.
Liu, S. J., & Shyu, J. (1997). Strategic planning for technology development with patent analysis. International Journal of Technology Management, 13(5), 661–680.
Liu, H., & Singh, P. (2004). ConceptNet—a practical commonsense reasoning tool-kit. BT Technology Journal, 22(4), 211–226.
Matuszek, C., Witbrock, M., Kahlert, R. C., Cabral, J., Schneider, D., Shah, P., et al. (2005). Searching for common sense: Populating Cyc™ from the Web: Proceedings of the National Conference on Artificial Intelligence (pp. 1430). London: AAAI Press.
Miller, G. A. (1995). WordNet: A lexical database for English. Communications of the ACM, 38(11), 39–41.
Moehrle, M. G. (2010). Measures for textual patent similarities: A guided way to select appropriate approaches. Scientometrics, 85(1), 95–109.
Moehrle, M. G., & Geritz, A. (2004). Developing acquisition strategies based on patent maps. Proceedings of the 13th International Conference on Management of Technology IAMOT (pp. 1–9).
Moehrle, M. G., & Gerken, J. M. (2012). Measuring textual patent similarity on the basis of combined concepts: Design decisions and their consequences. Scientometrics, 91(3), 805–826.
Moehrle, M. G., Walter, L., Geritz, A., & Müller, S. (2005). Patent-based inventor profiles as a basis for human resource decisions in research and development. R&D Management, 35(5), 513–524.
Mogee, M. E. (1991). Using patent data for technology analysis and planning. Research Technology Management, 34(4), 43–49.
Nelson, R. R. (1982). The role of knowledge in R&D efficiency. The Quarterly Journal of Economics, 97(3), 453.
Park, H., Kim, K., Choi, S., & Yoon, J. (2013). A Patent intelligence system for strategic technology planning. Expert Systems with Applications, 40(7), 2372–2390.
Park, H., Yoon, J., & Kim, K. (2012). Identifying patent infringement using SAO based semantic technological similarities. Scientometrics, 90(2), 515–529.
Pasiouras, F., & Gaganis, C. (2007). Financial characteristics of banks involved in acquisitions: Evidence from Asia. Applied Financial Economics, 17(4), 329–341.
Porter, M. E., & Stern, S. (1999). Council on competitiveness (pp. 1–94). Findings from the innovation index: The new challenge to America’s prosperity.
Prahalad, C., & Hamel, G. (1990). The core competence of the corporation. Harvard Business Review, 68(3), 79–91.
Ragothaman, S., Naik, B., & Ramakrishnan, K. (2003). Predicting corporate acquisitions: An application of uncertain reasoning using rule induction. Information Systems Frontiers, 5(4), 401–412.
Reed, S. F., Lajoux, A. R., & Nesvold, H. P. (1999). The art of M&A: A merger acquisition buyout guide. New York: McGraw-Hill.
Rigby, D., & Zook, C. (2002). Open-market innovation. Harvard Business Review, 80(10), 80–93.
Schmoch, U. (1995). Evaluation of technological strategies of companies by means of MDS maps. International Journal of Technology Management, 10(4–5), 4–5.
Sirower, M. L. (2000). The synergy trap: How companies lose the acquisition game. New York: The Free Press.
Stanford (2013). The Stanford parser: A statistical parser. Retrieved March 2013, from http://nlp.stanford.edu/software/lex-parser.shtml.
Tseng, Y. H., Lin, C. J., & Lin, Y. I. (2007). Text mining techniques for patent analysis. Information Processing and Management, 43(5), 1216–1247.
Vanhaverbeke, W., Duysters, G., & Noorderhaven, N. (2002). External technology sourcing through alliances or acquisitions: An analysis of the application-specific integrated circuits industry. Organization Science, 13(6), 714–733.
Venkatraman, N., Henderson, J. C., & Oldach, S. (1993). Continuous strategic alignment: Exploiting information technology capabilities for competitive success. European Management Journal, 11(2), 139–149.
Vilkamo, T., & Keil, T. (2003). Strategic technology partnering in high-velocity environments-lessons from a case study 1. Technovation, 23(3), 193–204.
Wei, C. P., Jiang, Y. S., & Yang, C. S. (2009). Patent analysis for supporting Merger and Acquisition (M&A) prediction: A data mining approach. Designing E-business systems. Markets, services, and networks, 187–200.
Wickelmaier, F. (2003). An introduction to MDS. Sound Quality Research Unit, Aalborg University, Denmark.
Xi-Liang, S., Qiu-Sheng, Z., Yi-Hong, C., & En-Zhao, S. (2009). A study on financial strategy for determining the target enterprise of merger and acquisition. Proceedings of the IEEE Service Operations, Logistics and Informatics (pp. 477–480).
Yoon, J., & Kim, K. (2011). Identifying rapidly evolving technological trends for R&D planning using SAO-based semantic patent networks. Scientometrics, 88(1), 213–228.
Yoon, J., & Kim, K. (2012). Detecting signals of new technological opportunities using semantic patent analysis and outlier detection. Scientometrics, 90(2), 445–461.
Yoon, J., Park, H., & Kim, K. (2013). Identifying technological competition trends for R&D planning using dynamic patent maps: SAO-based content analysis. Scientometrics, 94(1), 313–331.
Yoon, B. U., Yoon, C. B., & Park, Y. T. (2002). On the development and application of a self-organizing feature map-based patent map. R&D Management, 32(4), 291–300.
Acknowledgments
This work was supported by a National Research Foundation of Korea (NRF) Grant funded by the Korean government (MEST) (No. 2009-0088379).
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Park, H., Yoon, J. & Kim, K. Identification and evaluation of corporations for merger and acquisition strategies using patent information and text mining. Scientometrics 97, 883–909 (2013). https://doi.org/10.1007/s11192-013-1010-z
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DOI: https://doi.org/10.1007/s11192-013-1010-z
Keywords
- M&A target selection
- Technology acquisition
- Patent analysis
- Subject–action–object
- SAO
- Technological similarity