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http://dx.doi.org/10.15722/jds.18.9.202009.31

A New Product Risk Model for the Electric Vehicle Industry in South Korea  

CHU, Wujin (Business Adm., Seoul National University)
HONG, Yong-pyo (PSSLAB)
PARK, Wonkoo (Business 3Adm., Korea University)
IM, Meeja (Business Adm., Cyber University of Korea)
SONG, Mee Ryoung (Business Adm., Cyber University of Korea)
Publication Information
Journal of Distribution Science / v.18, no.9, 2020 , pp. 31-43 More about this Journal
Abstract
Purpose: This study examined a comprehensive model for assessing the success probability of electric vehicle (EV) commercialization in the Korean market. The study identified three risks associated with successful commercialization which were technology, social, policy, environmental, and consumer risk. Research design, methodology: The assessment of the riskiness was represented by a Bayes belief network, where the probability of success at each stage is conditioned on the outcome of the preceding stage. Probability of success in each stage is either dependent on input (i.e., investment) or external factors (i.e., air quality). Initial input stages were defined as the levels of investment in product R&D, battery technology, production facilities and battery charging facilities. Results: Reasonable levels of investment were obtained by expert opinion from industry experts. Also, a survey was carried out with 78 experts consisting of automaker engineers, managers working at EV parts manufacturers, and automobile industry researchers in government think tanks to obtain the conditional probability distributions. Conclusion: The output of the model was the likelihood of success - expressed as the probability of market acceptance - that depended on the various input values. A model is a useful tool for understanding the EV industry as a whole and explaining the likely ramifications of different investment levels.
Keywords
Electric vehicle; New product development; Innovation; Bayes belief network; Market risk;
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1 Cooper, R. G. (2017). Winning at new products: Creating value through innovation. New York, USA: Basic Books.
2 Crawford, C. M. (2011). New products management (10th ed.). New York, USA: McGraw-Hill.
3 Feng, S., & Magee, C. L. (2020). Technological development of key domains in electric vehicles: Improvement rates, technology trajectories and key assignees. Applied Energy, 260(Feb), 1-14. http://doi.org/10.1016/j.apenergy.2019.114264
4 Glueck-Chaloupka, A. A., Capella, L. M., & Coggins, P. C. (2005). Food product development, food regulations and policies - compatible or not? Journal of Nonprofit & Public Sector Marketing, 13(1-2), 199-212. https://doi.org/10.1300/J054v13n01_11   DOI
5 Baccarini, D., & Archer, R. (2001). The risk ranking of projects: A methodology. International Journal of Project Management 19(3), 139-145.   DOI
6 Aleixo, G. G., & Tenera, A. B. (2009). New product development process on high-tech innovation life cycle. World Academy of Science, Engineering and Technology, 58(135), 794-800.
7 Ayala-Cruz, J. (2016). Project risk planning in high-tech new product development. Academia Revista Latinoamericana de Administracion, 29(2), 110-124.   DOI
8 Barber, R. B. (2005). Understanding internally generated risks in projects. International Journal of Project Management, 23(8), 584-590.   DOI
9 Bendoly, E., Bharadwaj, A., & Bharadwaj, S. (2012). Complementary drivers of new product development performance: Cross-functional coordination, information system capability, and intelligence quality. Production and Operations Management, 21(4), 653-667. https://doi.org/10.1111/j.1937-5956.2011.01299.x   DOI
10 Bhaskaran, S. R., & Krishnan, V. (2009). Effort, revenue, and cost sharing mechanisms for collaborative new product development. Management Science, 55(7), 1152-1169.   DOI
11 Breetza, H.L., & D. Salon (2018). Do electric vehicles need subsidies? Ownership costs for conventional, hybrid, and electric vehicles in 14 U.S. cities. Energy Policy, 120(Sep), 238-249. https://doi.org/10.1016/j.enpol.2018.05.038   DOI
12 Kasemset, C., Wannagoat, J., Wattanutchariya, W., & Tippayawong, K. Y. (2014). A risk management framework for new product development: A case study. Industrial Engineering and Management Systems, 13(2), 203-209.   DOI
13 Chin, K. S., Tang, D. W., Yang, J. B., Wong, S. Y. & Wang, H. (2009). Assessing new product development project risk by Bayesian network with a systematic probability generation methodology. Expert Systems with Applications, 36(6), 9879-9890. https://doi.org/10.1016/j.eswa.2009.02.019   DOI
14 Goswami, M. (2018). An enterprise centric analytical risk assessment framework for new product development. Cogent Business & Management, 5(1), 1-13. https://doi.org/10.1080/23311975.2018.1540255   DOI
15 Jenna, A., Springel, K., & Gopal, A. R. (2018). Effectiveness of EV incentives in the United States. Energy Policy, 119(Aug), 349-356.   DOI
16 Jensen, F. V. (1996). An introduction to Bayesian networks. London: UCL press.
17 Kahn, K. B. (2013). The PDMA handbook of new product development. New Jersey: Wiley.
18 Keizer, J. A., Halman, J. I., & Song, M. (2002). From Experience: Applying the risk diagnosing methodology. Journal of Product Innovation Management 19(3), 213-232. https://doi.org/10.1016/S0737-6782(02)00138-8   DOI
19 Landuyt, D., Broekx, S., D'hondt, R., Engelen, G., Aertsens, J., & Goethals, P. L. (2013). A review of Bayesian belief networks in ecosystem service modelling. Environmental Modelling & Software, 46(Aug), 1-11.   DOI
20 Kirkire, M. S., Rane, S. B., & Jadhav, J. R. (2015). Risk management in medical product development process using traditional FMEA and fuzzy linguistic approach: A case study, Journal of Industrial Engineering International, 11(4), 595-611.   DOI
21 Liu, X. W., & Liu, X. Y. (2012). A study on risk assessment of the commercial development stage of new product in manufacturing enterprises. Applied Mechanics and Materials, 248(Dec), 495-498.   DOI
22 Loch, C., & Kavadias, S. (2008). Handbook of new product development management.UK: Routledge.
23 Pinheiro, M. A. P., Seles, B. M. R. P., De Camargo Fiorini, P., Jugend, D., Lopes de Sousa Jabbour, A. B., da Silva, H. M. R., & Latan, H. (2019). The role of new product development in underpinning the circular economy: A systematic review and integrative framework. Management Decision, 57(4), 840-862. https://doi.org/10.1595/205651320X15706349546439   DOI
24 Murray, S. L., Grantham, K., & Damle, S. B. (2011). Development of a generic risk matrix to manage project risks. Journal of Industrial and Systems Engineering, 5(1), 35-51.
25 Nielsen, K.R. (2006). Risk management: Lessons from six continents. Journal of Management in Engineering, 22(2), 61-67. https://doi.org/10.1061/(ASCE)0742-597X(2006)22:2(61)   DOI
26 Oehmen, J., Olechowski, A., Kenley, C. R., & Ben-Daya, M. (2014). Analysis of the effect of risk management practices on the performance of new product development programs. Technovation, 34(8), 441-453. https://doi.org/10.1016/j.technovation   DOI
27 Porananond, D., & Thawesaengskulthai, N. (2014). Risk management for new product development projects in food industry. Journal of Engineering, Project, and Production Management, 4(2), 99-113. https://doi.org/10.1016/j.promfg.2018.10.090   DOI
28 Trott, P. (2008). Innovation management and new product development (6th ed.). New Jersey, USA: Prentice Hall
29 Qazi, A., Quigley, J., Dickson, A., & Kirytopoulos, K. (2016). Project complexity and risk management (ProCRiM): Towards modelling project complexity driven risk paths in construction projects. International Journal of Project Management, 34(7), 1183-1198. http://10.1016/j.ijproman.2016.05.008   DOI
30 Stosic, B., Mihic, M., Milutinovic, R., & Isljamovic, S. (2017). Risk identification in product innovation projects: New perspectives and lessons learned. Technology Analysis & Strategic Management, 29(2), 133-148. https://doi.org/10.1080/09537325.2016.1210121   DOI
31 Chu, W. I. M., Song, M. R. & Park, J. (2019). Psychological and behavioral factors affecting electric vehicle adoption and satisfaction: A comparative study of early adopters in China and Korea. Transportation Research Part D: Transport and Environment, 76(Nov), 1-18. https://doi.org/10.1016/j.trd.2019.09.009   DOI
32 Wahyudin, N. E., & Santoso, I. (2016). Modelling of risk management for product development of yogurt drink using house of risk (HOR) method. Asian Journal of Technology Management, 9(2), 98-108. http://doi:10.12695/AJTM.2016.9.2.4   DOI
33 Yadav, O. P., Nepal, B. P., & Jain, R. (2007). Managing product development process complexity and challenges: A state-of-the art review. Journal of Design Research, 6(4), 487-508. https://doi.org/10.1504/JDR.2007.016853   DOI
34 Zhang, X., Yang, Y., & Su, J. (2015). Risk identification and evaluation of customer collaboration in product development. Journal of Industrial Engineering and Management, 8(3), 928-942. http://dx.doi.org/10.3926/jiem.1423
35 Cooper, R. G. (1990). Stage-gate systems: a new tool for managing new products. Business horizons, 33(3), 44-54.   DOI