Why do inconsistencies occur? Detangling the relationship between technological diversification and performance in Chinese firms

References

• Ambrosini, V., & Bowman, C. (2009). What are dynamic capabilities and are they a useful construct in strategic management? International Journal of Management Reviews, 11(1), 29–49. doi: 10.1111/j.1468-2370.2008.00251.x
   Web of Science ®Google Scholar
• Arora, A., & Ceccagnoli, M. (2006). Patent protection, complementary assets, and firms’ incentives for technology licensing. Management Science, 52(2), 293–308. doi: 10.1287/mnsc.1050.0437
   Web of Science ®Google Scholar
• Attig, N., Guedhami, O., & Mishra, D. (2008). Multiple large shareholders, control contests, and implied cost of equity. Journal of Corporate Finance, 14(5), 721–737. doi: 10.1016/j.jcorpfin.2008.08.008
   Web of Science ®Google Scholar
• Ballinger, G. A. (2004). Using generalized estimating equations for longitudinal data analysis. Organizational Research Methods, 7(2), 127–150. doi: 10.1177/1094428104263672
   Web of Science ®Google Scholar
• Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. doi: 10.1177/014920639101700108
   Web of Science ®Google Scholar
• Bharadwaj, A. S., Bharadwaj, S. G., & Konsynski, B. R. (1999). Information technology effects on firm performance as measured by Tobin’s Q. Management Science, 45(7), 1008–1024. doi: 10.1287/mnsc.45.7.1008
   Web of Science ®Google Scholar
• Bowen, H. P. (2012). Testing moderating hypotheses in limited dependent variable and other nonlinear models: Secondary versus total interactions. Journal of Management, 38(3), 860–889. doi: 10.1177/0149206309356324
   Web of Science ®Google Scholar
• Cantwell, J., Gambardella, A., & Granstrand, O. (2004). The Economics and Management of Technological Diversification. London: Routledge.
   Google Scholar
• Cao, Q., Gedajlovic, E., & Zhang, H. (2009). Unpacking organizational ambidexterity: Dimensions, contingencies, and synergistic effects. Organization Science, 20(4), 781–796. doi: 10.1287/orsc.1090.0426
   Web of Science ®Google Scholar
• Chang, S.-C., & Wang, C.-F. (2007). The effect of product diversification strategies on the relationship between international diversification and firm performance. Journal of World Business, 42(1), 61–79. doi: 10.1016/j.jwb.2006.11.002
   Web of Science ®Google Scholar
• Chen, Y.-M., Yang, D.-H., & Lin, F.-J. (2013). Does technological diversification matter to firm performance? The moderating role of organizational slack. Journal of Business Research, 66(10), 1970–1975. doi: 10.1016/j.jbusres.2013.02.020
   Web of Science ®Google Scholar
• Chiu, Y.-C., Lai, H.-C., Lee, T.-Y., & Liaw, Y.-C. (2008). Technological diversification, complementary assets, and performance. Technological Forecasting and Social Change, 75(6), 875–892. doi: 10.1016/j.techfore.2007.07.003
   Web of Science ®Google Scholar
• Christmann, P. (2000). Effects of ‘best practices’ of environmental management on cost advantage: The role of complementary assets. Academy of Management Journal, 43(4), 663–680. doi: 10.2307/1556360
   Web of Science ®Google Scholar
• Collis, D. J. (1994). Research note: How valuable are organizational capabilities? Strategic Management Journal, 15(S1), 143–152. doi: 10.1002/smj.4250150910
   Web of Science ®Google Scholar
• Colombo, M. G., Grilli, L., & Piva, E. (2006). In search of complementary assets: The determinants of alliance formation of high-tech start-ups. Research Policy, 35(8), 1166–1199. doi: 10.1016/j.respol.2006.09.002
   Web of Science ®Google Scholar
• Dai, O., & Liu, X. (2009). Returnee entrepreneurs and firm performance in Chinese high-technology industries. International Business Review, 18(4), 373–386. doi: 10.1016/j.ibusrev.2009.03.004
   Web of Science ®Google Scholar
• Dess, G. G., & Beard, D. W. (1984). Dimensions of organizational task environments. Administrative Science Quarterly, 29(1), 52–73. doi: 10.2307/2393080
   Web of Science ®Google Scholar
• Dodgson, M. (1991). Technology learning, technology strategy and competitive pressures. British Journal of Management, 2(3), 133–149. doi:10.1111/j.1467–8551.1991.tb00022.x doi: 10.1111/j.1467-8551.1991.tb00022.x
   Google Scholar
• Du, J., Lu, J., & Guo, Y. (2015). Relationship between technological diversification of social network and technological innovation performance: Empirical evidence from China. Science Technology & Society, 20(1), 60–88. doi: 10.1177/0971721814561388
   Web of Science ®Google Scholar
• Eisenhardt, K. M., & Martin, J. A. (2000). Dynamic capabilities: What are they? Strategic Management Journal, 21(10–11), 1105–1121. doi:10.1002/1097–0266(200010/11)21:10/11<1105::AID-SMJ133>3.0.CO;2-E doi: 10.1002/1097-0266(200010/11)21:10/11<1105::AID-SMJ133>3.0.CO;2-E
   Web of Science ®Google Scholar
• Ellis, P. D. (2011). Social ties and international entrepreneurship: Opportunities and constraints affecting firm internationalization. Journal of International Business Studies, 42(1), 99–127. doi: 10.1057/jibs.2010.20
   Web of Science ®Google Scholar
• Fai, F. M. (2003). Corporate Technological Competence and the Evolution of Technological Diversification. Cheltenham: Edward Elgar.
   Google Scholar
• Gang, K., Choi, B., & Kim, S. (2014). Industry competition and searching for the technological diversity. Social Science Research Network Working Paper Series. Available at SSRN: http://ssrn.com/abstract=2509725. doi:citeulike-article-id:14020624.
   Google Scholar
• Gao, G. Y., Xie, E., & Zhou, K. Z. (2015). How does technological diversity in supplier network drive buyer innovation? Relational process and contingencies. Journal of Operations Management, 36, 165–177. doi: 10.1016/j.jom.2014.06.001
   Web of Science ®Google Scholar
• Gardberg, N. A., & Fombrun, C. J. (2006). Corporate citizenship: Creating intangible assets across institutional environments. Academy of Management Review, 31(2), 329–346. doi: 10.5465/amr.2006.20208684
   Web of Science ®Google Scholar
• Goll, I., & Rasheed, A. A. (2004). The moderating effect of environmental munificence and dynamism on the relationship between discretionary social responsibility and firm performance. Journal of Business Ethics, 49(1), 41–54. doi: 10.1023/B:BUSI.0000013862.14941.4e
   Web of Science ®Google Scholar
• Gruber, M., MacMillan, I. C., & Thompson, J. D. (2013). Escaping the prior knowledge corridor: What shapes the number and technology start-ups? Organization Science, 24(1), 280–300. doi: 10.1287/orsc.1110.0721
   Web of Science ®Google Scholar
• Gupta, A. K., Smith, K. G., & Shalley, C. E. (2006). The interplay between exploration and exploitation. Academy of Management Journal, 49(4), 693–706. doi:10.2307/20159793 doi: 10.5465/AMJ.2006.22083026
   Web of Science ®Google Scholar
• Hardin, J. W., & Hilbe, J. M. (2007). Generalized estimating equations. London: Chapman and Hall.
   Google Scholar
• Hoetker, G. (2007). The use of logit and probit models in strategic management research: Critical issues. Strategic Management Journal, 28(4), 331–343. doi: 10.1002/smj.582
   Web of Science ®Google Scholar
• Jacquemin, A. P., & Berry, C. H. (1979). Entropy measure of diversification and corporate growth. The Journal of Industrial Economics, 27(4), 359–369. doi: 10.2307/2097958
   Web of Science ®Google Scholar
• Katila, R., & Ahuja, G. (2002). Something old, something new: A longitudinal study of search behavior and new product introduction. Academy of Management Journal, 45(6), 1183–1194. doi: 10.2307/3069433
   Web of Science ®Google Scholar
• Kim, J., Lee, C.-Y., & Cho, Y. (2016). Technological diversification, core-technology competence, and firm growth. Research Policy, 45(1), 113–124. doi: 10.1016/j.respol.2015.07.005
   Web of Science ®Google Scholar
• Kistruck, G. M., Morris, S. S., Webb, J. W., & Stevens, C. E. (2015). The importance of client heterogeneity in predicting make-or-buy decisions. Journal of Operations Management, 33-34, 97–110. doi: 10.1016/j.jom.2014.11.001
   Web of Science ®Google Scholar
• Koka, B. R., Madhavan, R., & Prescott, J. E. (2006). The evolution of interfirm networks: Environmental effects on patterns of network change. Academy of Management Review, 31(3), 721–737. doi: 10.5465/amr.2006.21318927
   Web of Science ®Google Scholar
• Lahiri, N. (2010). Geographic distribution of R&D activity: How does it affect innovation quality? Academy of Management Journal, 53(5), 1194–1209. doi: 10.5465/amj.2010.54533233
   Web of Science ®Google Scholar
• Lai, H.-C., Chiu, Y.-C., Liaw, Y.-C., & Lee, T.-Y. (2010). Technological diversification and organizational divisionalization: The moderating role of complementary assets. British Journal of Management, 21(4), 983–995. doi: 10.1111/j.1467-8551.2009.00630.x
   Web of Science ®Google Scholar
• Lai, H.-C., & Weng, C. S. (2013). Do technology alliances benefit technological diversification? The effects of technological knowledge distance, network centrality and complementary assets. Asian Journal of Technology Innovation, 21(1), 136–152. doi: 10.1080/19761597.2013.815481
   Web of Science ®Google Scholar
• Laursen, K., & Salter, A. (2006). Open for innovation: The role of openness in explaining innovation performance among U.K. Manufacturing firms. Strategic Management Journal, 27(2), 131–150. doi: 10.1002/smj.507
   Web of Science ®Google Scholar
• Leten, B., Belderbos, R., & Van Looy, B. (2007). Technological diversification, coherence, and performance of firms. Journal of Product Innovation Management, 24(6), 567–579. doi: 10.1111/j.1540-5885.2007.00272.x
   Web of Science ®Google Scholar
• Li, Y., Wei, Z., Zhao, J., Zhang, C., & Liu, Y. (2013). Ambidextrous organizational learning, environmental munificence and new product performance: Moderating effect of managerial ties in China. International Journal of Production Economics, 146(1), 95–105. doi: 10.1016/j.ijpe.2012.11.008
   Web of Science ®Google Scholar
• Lu, J. W., & Beamish, P. W. (2004). International diversification and firm performance: The S-curve hypothesis. Academy of Management Journal, 47(4), 598–609. doi: 10.2307/20159604
   Web of Science ®Google Scholar
• Ma, H. (2004). Competitive Advantage: Anatomy and Constellation. Beijing: Peking University Press.
   Google Scholar
• March, J. G. (1991). Exploration and exploitation in organizational learning. Organization Science, 2(1), 71–87. doi: 10.1287/orsc.2.1.71
   Web of Science ®Google Scholar
• Miller, D. J. (2004). Firms’ technological resources and the performance effects of diversification: A longitudinal study. Strategic Management Journal, 25(11), 1097–1119. doi: 10.1002/smj.411
   Web of Science ®Google Scholar
• Miller, D. J. (2006). Technological diversity, related diversification, and firm performance. Strategic Management Journal, 27(7), 601–619. doi: 10.1002/smj.533
   Web of Science ®Google Scholar
• Mishina, Y., Pollock, T. G., & Porac, J. F. (2004). Are more resources always better for growth? Resource stickiness in market and product expansion. Strategic Management Journal, 25(12), 1179–1197. doi: 10.1002/smj.424
   Web of Science ®Google Scholar
• Montgomery, C. A. (1994). Corporate diversification. The Journal of Economic Perspectives, 8(3), 163–178. doi: 10.1257/jep.8.3.163
   Web of Science ®Google Scholar
• Morescalchi, A., & Hardeman, S. (2015). Technological diversity and the impact of regional innovation: Evidence for the EU. Paper presented at the 55th Congress of the European Regional Science Association, Lisbon, Portugal.
   Google Scholar
• Nelson, R. R., & Winter, S. G. (1985). An Evolutionary Theory of Economic Change. Cambridge, MA: Belknap Press.
   Google Scholar
• Park, N. K., & Mezias, J. M. (2005). Before and after the technology sector crash: The effect of environmental munificence on stock market response to alliances of e-commerce firms. Strategic Management Journal, 26(11), 987–1007. doi: 10.1002/smj.489
   Web of Science ®Google Scholar
• Powell, T. C., & Dent-Micallef, A. (1997). Information technology as competitive advantage: The role of human, business, and technology resources. Strategic Management Journal, 18(5), 375–405. doi: 10.1002/(SICI)1097-0266(199705)18:5<375::AID-SMJ876>3.0.CO;2-7
   Web of Science ®Google Scholar
• Prencipe, A. (2005). The changing boundaries of the firm: Empirical evidence from aircraft engine industry. In J. Cantwell, A. Gambardella, & O. Granstrand (Eds.), The Economics and Management of Technological Diversification (pp. 234–262). London: Routledge.
   Google Scholar
• Raisch, S., Birkinshaw, J., Probst, G., & Tushman, M. L. (2009). Organizational ambidexterity: Balancing exploitation and exploration for sustained performance. Organization Science, 20(4), 685–695. doi: 10.1287/orsc.1090.0428
   Web of Science ®Google Scholar
• Ravichandran, T., Liu, Y., Han, S., & Hasan, I. (2009). Diversification and firm performance: Exploring the moderating effects of information technology spending. Journal of Management Information Systems, 25(4), 205–240. doi:10.2753/MIS0742–1222250407 doi: 10.2753/MIS0742-1222250407
   Web of Science ®Google Scholar
• Robins, J. A., & Wiersema, M. F. (2003). The measurement of corporate portfolio strategy: Analysis of the content validity of related diversification indexes. Strategic Management Journal, 24(1), 39–59. doi: 10.1002/smj.282
   Web of Science ®Google Scholar
• Rothaermel, F. T. (2001). Incumbent’s advantage through exploiting complementary assets via interfirm cooperation. Strategic Management Journal, 22(6–7), 687–699. doi: 10.1002/smj.180
   Web of Science ®Google Scholar
• Rothaermel, F. T., & Hill, C. W. L. (2005). Technological discontinuities and complementary assets: A longitudinal study of industry and firm performance. Organization Science, 16(1), 52–70. doi: 10.1287/orsc.1040.0100
   Web of Science ®Google Scholar
• Rueda-Manzanares, A., Aragón-Correa, J. A., & Sharma, S. (2008). The influence of stakeholders on the environmental strategy of service firms: The moderating effects of complexity, uncertainty and munificence. British Journal of Management, 19(2), 185–203. doi:10.1111/j.1467–8551.2007.00538.x doi: 10.1111/j.1467-8551.2007.00538.x
   Web of Science ®Google Scholar
• Sabherwal, R., & Sabherwal, S. (2005). Knowledge management using information technology: Determinants of short-term impact on firm value. Decision Sciences, 36(4), 531–567. doi:10.1111/j.1540–5414.2005.00102.x doi: 10.1111/j.1540-5414.2005.00102.x
   Web of Science ®Google Scholar
• Shih-Chang, H., Nien-Chi, L., & Jieng-Bin, C. (2003). The taxonomy and evolution of technology strategies: A study of Taiwan’s high-technology-based firms. IEEE Transactions on Engineering Management, 50(2), 219–227. doi: 10.1109/TEM.2003.810825
   Web of Science ®Google Scholar
• Stirling, A. (2007). A general framework for analysing diversity in science, technology and society. Journal of The Royal Society Interface, 4(15), 707–719. doi: 10.1098/rsif.2007.0213
   PubMed Web of Science ®Google Scholar
• Su, Z., Guo, H., & Sun, W. (2017). Exploration and firm performance: The moderating impact of competitive strategy. British Journal of Management, doi:10.1111/1467–8551.12218
   Web of Science ®Google Scholar
• Suzuki, J., & Kodama, F. (2004). Technological diversity of persistent innovators in Japan: Two case studies of large Japanese firms. Research Policy, 33(3), 531–549. doi: 10.1016/j.respol.2003.10.005
   Web of Science ®Google Scholar
• Swink, M., & Nair, A. (2007). Capturing the competitive advantages of AMT: Design–manufacturing integration as a complementary asset. Journal of Operations Management, 25(3), 736–754. doi: 10.1016/j.jom.2006.07.001
   Web of Science ®Google Scholar
• Tang, J. (2008). Environmental munificence for entrepreneurs: Entrepreneurial alertness and commitment. International Journal of Entrepreneurial Behavior & Research, 14(3), 128–151. doi: 10.1108/13552550810874664
   Google Scholar
• Teece, D. J. (1986). Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy. Research Policy, 15(6), 285–305. doi: 10.1016/0048-7333(86)90027-2
   Web of Science ®Google Scholar
• Teece, D. J. (1998). Capturing value from knowledge assets: The new economy, markets for know-how, and intangible assets. California Management Review, 40(3), 55–79. doi: 10.2307/41165943
   Web of Science ®Google Scholar
• Teece, D. J. (2007). Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal, 28(13), 1319–1350. doi: 10.1002/smj.640
   Web of Science ®Google Scholar
• Wan, W. P., & Yiu, D. W. (2009). From crisis to opportunity: Environmental jolt, corporate acquisitions, and firm performance. Strategic Management Journal, 30(7), 791–801. doi: 10.1002/smj.744
   Web of Science ®Google Scholar
• Wang, H., & Li, J. (2008). Untangling the effects of overexploration and overexploitation on organizational performance: The moderating role of environmental dynamism. Journal of Management, 34(5), 925–951. doi: 10.1177/0149206308321547
   Web of Science ®Google Scholar
• Watanabe, C., Matsumoto, K., & Hur, J. Y. (2004). Technological diversification and assimilation of spillover technology: Canon's scenario for sustainable growth. Technological Forecasting and Social Change, 71(9), 941–959. doi:10.1016/S0040–1625(03)00069–6 doi: 10.1016/S0040-1625(03)00069-6
   Web of Science ®Google Scholar
• Wernerfelt, B., & Montgomery, C. A. (1988). Tobin's q and the importance of focus in firm performance. American Economic Review, 78(1), 246–250.
   Web of Science ®Google Scholar
• Wiersema, M. F., & Bowen, H. P. (2009). The use of limited dependent variable techniques in strategy research: Issues and methods. Strategic Management Journal, 30(6), 679–692. doi: 10.1002/smj.758
   Web of Science ®Google Scholar
• Winter, S. G. (2003). Understanding dynamic capabilities. Strategic Management Journal, 24(10), 991–995. doi: 10.1002/smj.318
   Web of Science ®Google Scholar
• Xiao, L. (2011). Financing high-tech SMEs in China: A three-stage model of business development. Entrepreneurship & Regional Development, 23(3–4), 217–234. doi: 10.1080/08985620903233937
   Web of Science ®Google Scholar
• Zahra, S. A., & George, G. (2002). Absorptive capacity: A review, reconceptualization, and extension. Academy of Management Review, 27(2), 185–203. doi: 10.5465/amr.2002.6587995
   Web of Science ®Google Scholar
• Zander, I. (1997). Technological diversification in the multinational corporation—historical evolution and future prospects. Research Policy, 26(2), 209–227. doi:10.1016/S0048–7333(97)00012–7 doi: 10.1016/S0048-7333(97)00012-7
   Web of Science ®Google Scholar
• Zeger, S. L., Liang, K.-Y., & Albert, P. S. (1988). Models for longitudinal data: A generalized estimating equation approach. Biometrics, 44(4), 1049–1060. doi: 10.2307/2531734
   PubMed Web of Science ®Google Scholar
• Zelner, B. A. (2009). Using simulation to interpret results from logit, probit, and other nonlinear models. Strategic Management Journal, 30(12), 1335–1348. doi: 10.1002/smj.783
   Web of Science ®Google Scholar
• Zhou, Y., & Xin, T. (2003). An innovative region in China: Interaction between multinational corporations and local firms in a high-tech cluster in Beijing. Economic Geography, 79(2), 129–152. doi:10.1111/j.1944–8287.2003.tb00205.x doi: 10.1111/j.1944-8287.2003.tb00205.x
   Web of Science ®Google Scholar