MOBILE 5G TECHNOLOGY ADOPTION INVESTMENT TIMING DECISION MAKERS CLUSTERING AND WILLINGNESS TO INVEST UNDER VOLATILE DEMAND CHANGES
AbstractEnterprises need to identify the optimal timing for technological change in order to increase competitiveness and increase the value of the company in an uncertain demanding environment. Investment decisions for adopting new technologies are costly and sometimes risky because technological investments are irreversible. To simulate the process, comprehensive technological adoption regarding investment timing was used in a management decision support model. The constructed model is structured as follows: 1) historical demand paths analysis; 2) application of statistical data validity tests; 3) the forecast of market parameters regarding data arrays using the geometric Brownian motion method, based on Monte Carlo simulation; 4) determination of technological life cycle using a Hodrick–Prescott filter; 5) technological adoption time-window determination; and 6) calculation of company net present values (NPV) based on change in free cash-flow. The model for mature 5G mobile markets, created and empirical tested, was performed in relation to 18 largest Europe mobile service providers, as potential decision makers operating across 33 countries. Results confirmed that selection of the technological investment time depends on companies’ strategic financial decisions and financial state. The performed simulations revealed the consequence of 5G technology investment for investor roles, clustered according to financial data within a 5-year period (2010–2014). The analyzed companies were assigned to roles of pioneers-innovators, pragmatics, followers, or laggards. Finally, it is assumed and argued that financial parameters indicate the willingness to adopt new technologies in a global technologically changing environment.
Adamauskas, & Krušinskas (2016). Optimal timing for technology shift in mature markets of mobile communication. Manuscript. New strategies for innovative performance. Strategic Change. John Wiley & Sons.
Bar‐Han, A., & Maimon, O. (1993). An impulse‐control method for investment decisions in dynamic technology. Managerial and Decision Economics, 14(1), 65-70. http://dx.doi.org/10.1002/mde.4090140108
Benaroch, M., & Kauffman, R. J. (1999). A case for using real options pricing analysis to evaluate information technology project investments. Information Systems Research, 10(1), 70-86. http://dx.doi.org/10.1287/isre.10.1.70
Bhaskaran, S. R., & Ramachandran, K. (2011). Managing Technology Selection and Development Risk in Competitive Environments. Production and Operations Management, 20: 541–555. http://dx.doi.org/10.1111/j.1937-5956.2010.01165.x
Biagini, B., Kuhl, L., Gallagher, K. S., & Ortiz, C. (2014). Technology transfer for adoption. Nature Climate Change, 4(9), 828-834. http://dx.doi.org/10.1038/nclimate2305
Bohn, R. E. (1994). Measuring and managing technological knowledge. Sloan Management Review 36, 61–73. (Fall).
Bolton, P., Chen, H., & Wang, N. (2013). Market timing, investment, and risk management. Journal of Financial Economics Volume 109, Issue 1, July 2013, Pages 40–62. http://dx.doi.org/10.1016/j.jfineco.2013.02.006
Bouis, R., Huisman, K., & Kort, P. (2006). Investment in oligopoly under uncertainty: The accordion effect, Journal of Industrial Organization, Vol. 27, no. 2. pp. 320-331. http://dx.doi.org/10.1016/j.ijindorg.2008.10.003
Butler, A. W., Cornaggia, J., Grullon, G., & Weston, J. P. (2011). Corporate financing decisions, managerial market timing, and real investment. Journal of Financial Economics, Volume 101, Issue 3, September 2011, Pages 666–683. http://dx.doi.org/10.1016/j.jfineco.2011.05.001
Chen H. & Ma T. (2014). Technology adoption with limited foresight and uncertain technological learning. European Journal of Operational Research 239, 266–275. http://dx.doi.org/10.1016/j.ejor.2014.03.031
Chou, Y. C., Sung, W. C., Lin, G., & Jahn, J. (2014). A comparative study on the performance of timing and sizing models of capacity expansion under volatile demand growth and finite equipment lifetime. Computers & Industrial Engineering, 76, 98-108. http://dx.doi.org/10.1016/j.cie.2014.07.027
Crabtree, P. (2006), A framework for understanding technology and technological change. The Innovation Journal: The Public Sector Innovation Journal, Volume 11(1).
David, P., Hitt, M. A., & Gimeno, J. (2001). The influence of activism by institutional investors on R&D. Academy of Management Journal 44(1): 144–157. http://dx.doi.org/10.2307/3069342
Drejer, A. (2000). Integrating product and technology development. European Journal of Innovation Management 3 (3), 125–136. http://dx.doi.org/10.1108/14601060010334885
Feil, J. H., & Musshoff, O. (2013). Modelling investment and disinvestment decisions under competition, uncertainty and different market interventions. Economic Modelling, 35, 443-452. http://dx.doi.org/10.1016/j.econmod.2013.07.026
Friar, J., & Horwitch, M. (1985). The emergence of technology strategy: A new dimension of strategic management. Special Issue Technology in the Modern Corporation a Strategic Perspective. Volume 7, Issues 2–3, Pages 143–178. http://dx.doi.org/10.1016/0160-791X(85)90023-5
Gorodnichenko, Y., & Schnitzer, M. (2013). Financial constraints and innovation: why poor countries don’t catch up. Journal of the European Economic Association. 11(5):1115–1152. http://dx.doi.org/10.1111/jeea.12033
Grossmann, V. & Steger, T. M. (2007) Growth, Development, and Technological Change. IZA Discussion Paper No. 2558.
Hagspiel, V., Huisman, K. J. M., & Nunes, C. (2015). Optimal technology adoption when the arrival rate of new technologies changes. European Journal of Operational Research Volume 243, Issue 3, Pages 897–911. http://dx.doi.org/10.1016/j.ejor.2014.12.024
Heffner, M., & Sharif, N. (2008). Knowledge fusion for technological innovation in organizations. Journal of Knowledge Management 12 (2), 79–93. http://dx.doi.org/10.1108/13673270810859532
Henderson, V. (2010). Is corporate control effective when managers face investment timing decisions in incomplete markets? Journal of Economic Dynamics and Control, Volume 34, Issue 6, Pages 1062–1076. http://dx.doi.org/10.1016/j.jedc.2010.02.009
Hori, K. & Osano, H. (2013). Investment timing decisions of managers under endogenous contracts. Journal of Corporate Finance Volume 29, Pages 607–627. http://dx.doi.org/10.1016/j.jcorpfin.2013.11.013
Hsueh, C. F. (2011). An inventory control model with consideration of remanufacturing and product life cycle. International Journal of Production Economics 133, 645–652. http://dx.doi.org/10.1016/j.ijpe.2011.05.007
Huang, C., & Da, Q. L. (2007). Optimal Timing and Probability Study of Generation Firm Investment under Power Price Uncertainty. Systems Engineering-Theory & Practice, 27(6), 105-110. http://dx.doi.org/10.1016/S1874-8651(08)60040-X
Ireland, R. D., & Webb, J. W. (2007). Strategic entrepreneurship: Creating competitive advantage through streams of innovation. Business Horizons. Volume 50, Issue 1, Pages 49–59. http://dx.doi.org/10.1016/j.bushor.2006.06.002
Jaffe, A. B., Newell, R. G., & Stavins, R. N. (2002). Environmental Policy and Technological Change. Environmental and Resource Economics, Volume 22, Issue 1, pp 41-70. http://dx.doi.org/10.1023/A:1015519401088
Jakšić, M. L., & Jakšić, M. (2012). Entrepreneurship in the knowledge based economy – The case of Serbia. Megatrend Review. Vol. 9 Issue 1, p35.
Jeon, H., & Nishihara, M. (2014). Macroeconomic conditions and a firm’s investment decisions. Finance Research Letters, 11(4), 398-409. http://dx.doi.org/10.1016/j.frl.2014.08.002
Jones, C. I. (2005). Growth and ideas, in: P. Aghion and S. Durlauf (eds.), Handbook of Economic Growth, North-Holland, Amsterdam. http://dx.doi.org/10.1016/s1574-0684(05)01016-6
Kamarianakis, Y., & Xepapadeas, A. (2006). An irreversible investment model with a stochastic production capacity and fixed plus proportional adjustment costs. Journal of Economic No. 0708.
Kaplan, S., & Tripsas, M., (2008). Thinking about technology: applying a cognitive lens to technical change. Research Policy 37, 790–805. http://dx.doi.org/10.1016/j.respol.2008.02.002
Kim, J. H., Lee, M. K., & Sohn, S. Y. (2014). Investment timing under hybrid stochastic and local volatility. Chaos, Solitons & Fractals 67 58–72. http://dx.doi.org/10.1016/j.chaos.2014.06.007
Kor, Y. Y. (2006), Direct and interaction effects of top management team and board compositions on R&D investment strategy. Strat. Mgmt. J., 27: 1081–1099. http://dx.doi.org/10.1002/smj.554
Krishnan, V., & Loch, C. H. (2005). A retrospective look at production and operations management articles on new product development. Prod. Oper. Manag. 14(4): 433–441. http://dx.doi.org/10.1111/j.1937-5956.2005.tb00231.x
Krušinskas, R., & Vasiliauskaitė, A. (2005). Technology Investment Decisions to Increase Company Value. Inzinerine Ekonomika-Engineering Economics, 4(44).
Lobel, I., Patel J., Vulcano G. & Zhang J. (2015) Optimizing Product Launches in the Presence of Strategic Consumers. Social Science Research Network. http://dx.doi.org/10.2139/ssrn.2222266
Martinez, M. (2013). Perspectives on Innovation in Higher Education. The Jandris Center for Innovative Higher Education at the University of Minnesota.
Mokyr, J. (2005). Long-term economic growth and the history of technology, in: Aghion, P. and S.N. Durlauf (eds.), Handbook of Economic Growth, North-Holland, Amsterdam. http://dx.doi.org/10.1016/s1574-0684(05)01017-8
Moon, Y. (2010). Efforts and efficiency in partial outsourcing and investment timing strategy under market uncertainty. Computers & Industrial Engineering, Volume 59, Issue 1, Pages 24–33. http://dx.doi.org/10.1016/j.cie.2010.02.010
Mukherji, N., Rajagopalan, B., & Tanniru, M. (2006). A decision support model for optimal timing of investments in information technology upgrades. Decision Support Systems, 42(3), 1684-1696. http://dx.doi.org/10.1016/j.dss.2006.02.013
Ngwenyama, O., Guergachi, A., & McLaren, T. (2007). Using the learning curve to maximize IT productivity: A decision analysis model for timing software upgrades. International Journal of Production Economics, 105(2), 524-535. http://dx.doi.org/10.1016/j.ijpe.2006.02.013
Nishihata, M., & Shibata, T. (2013). The effects of external financing costs on investment timing and sizing decisions. Journal of Banking & Finance 37, 1160–1175. http://dx.doi.org/10.1016/j.jbankfin.2012.11.014
Perez, C. (2001). Technological change and opportunities for development as a moving target. Cepal Review, No. 75, December, pp. 109-130.
Perez, C. (2002). Technological Revolutions and Financial Capital: The Dynamics of Bubbles and Golden Ages, Cheltenham, Elgar. http://dx.doi.org/10.4337/9781781005323
Perez, C. (2009). Technological revolutions and techno-economic paradigms. Cambridge journal of economics. http://dx.doi.org/10.1093/cje/bep051
Pertile, P. (2007). Investment in health technologies in a competitive model with real options. Journal of Public Economic Theory, 10 (5), 2008, pp. 923–952. Wiley Periodicals, Inc.
Pol, J. (2012). Decision Factors Influencing ITS Adoption. Final Report— Publication Number: FHWA-JPO-12-043 Research and Innovative Technology Administration. U.S. Department of Transportation.
Rogers, E. M. (2003). Diffusion of Innovations, 5th Edition. Simon and Schuster. ISBN 978-0-7432-5823-4.
Rogers, E. M. (2010). Diffusion of innovations. Simon and Schuster.
Rothaermel, F. T. (2008) Competitive advantage in technology intensive industries. Economic Growth, Volume 18, 201–225. http://dx.doi.org/10.1016/S1048-4736(07)00007-0
Scarso, E. (1996). Timing the adoption of a new technology: an option-based approach, Management Decision 34/3, pages 41–48. MCB University Press [ISSN 0025-1747]. http://dx.doi.org/10.1108/00251749610113668
Schon, D. (1967). Technology and Change. Pergamon, London.
Shahmarichatghieh, M., Tolonen, A., & Haapasalo, H. (2015) Product life cycle, technology life cycle and market life cycle; similarities, differences and applications. Technology, Innovation and Industrial Management Joint International Conference.
Shibata, T., & Nishihara M. (2011). Interactions between investment timing and management effort under asymmetric information: Costs and benefits of privatized firms. European Journal of Operational Research 215, 688–696. http://dx.doi.org/10.1016/j.ejor.2011.06.025
Stock, G. N., & Tatikonda, M. V., (2000). A typology of project-level technology transfer processes. Journal of Operations Management 18, 719–737. http://dx.doi.org/10.1016/S0272-6963(00)00045-0
Svensson, E., Strömberg, A. B., & Patriksson, M. (2011). A model for optimization of process integration investments under uncertainty. Energy, Volume 36, Issue 5, Pages 2733–2746. http://dx.doi.org/10.1016/j.energy.2011.02.013
Tan, K. S., Chong, S. C., Lin, B., & Eze, U. C. (2009). Internet-based ICT adoption: Evidence from Malaysian SMEs. Industrial Management and Data Systems 109(2): 224-244. http://dx.doi.org/10.1108/02635570910930118
Taylor, M., & Taylor, A. (2012). The technology life cycle: Conceptualization and managerial implications. International Journal of Production Economics. http://dx.doi.org/10.1016/j.ijpe.2012.07.006
Teixeira, A. C. (2012) Technological Change. InTech, ISBN 978-953-51-0509-1, http://dx.doi.org/10.5772/2314
Verganti, R. (2011). Radical Design and Technology Epiphanies: A New Focus for Research on Design Management. J Prod Innov Manag, 2011;28:384–388. http://dx.doi.org/10.1111/j.1540-5885.2011.00807.x
Whalley, A. E. (2011). Optimal R&D investment for a risk-averse entrepreneur. Journal of Economic Dynamics & Control 35, 413–429. http://dx.doi.org/10.1016/j.jedc.2009.11.009
Wickart, M., & Madlener, R. (2007) Optimal technology choice and investment timing: A stochastic model of industrial cogeneration vs. heat-only production. Energy Economics, Volume 29, Issue 4, Pages 934–952. http://dx.doi.org/10.1016/j.eneco.2006.12.003
Wong, K. P. & Yi, L. (2013). Irreversibility, mean reversion, and investment timing. Economic Modelling 30, 770–775. http://dx.doi.org/10.1016/j.econmod.2012.10.007
Wong, K. P. (2010). The effects of irreversibility on the timing and intensity of lumpy investment. Economic Modelling, 27(1), 97-102. http://dx.doi.org/10.1016/j.econmod.2009.07.028
Wong, K. P. (2011), Progressive taxation and the intensity and timing of investment. Economic Modelling, Volume 28, Issues 1–2, Pages 100–108. http://dx.doi.org/10.1016/j.econmod.2010.09.020
Yagi, K., & Takashima, R. (2012). The impact of convertible debt financing on investment timing. Economic Modelling, Volume 29, Issue 6, Pages 2407–2416. http://dx.doi.org/10.1016/j.econmod.2012.06.032
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