Skip to main content

Advertisement

Log in

E-business system investment for fresh agricultural food industry in China

  • Published:
Annals of Operations Research Aims and scope Submit manuscript

Abstract

A fresh agricultural food online exchange system is gradually becoming an emerging e-business model in China. However, how and when to make an investment in this new business model is risky due to the unique characteristics of fresh agricultural food. In this paper, from a third party decision maker’s perspective, we propose an evolutionary discounted cash flow model to investigate the optimum time point for investment. Based on the assumptions of base demand, the derived e-demand occurring on the pendent e-business system can be characterized by non-stationary stochastic processes. Then our new model can further be innovatively analyzed by considering the dynamic scheme of the cash flow and its evolution. The analytical results suggest the optimal investment time point depends upon the consumers’ switch rate from the physical store to e-store and on the urbanization rate. A Monte Carlo simulation is further presented to compare the effects of multiple uncertainties embedded into the system. Our uncertainty analysis reveals that when government financial support fluctuates greatly, the optimal investment time could be either in the very beginning or in the end. This optimal time strategy also holds for the random demand factor after the coefficient variation of the demand reaches a certain threshold.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • Aristides, M., Maro, V., & Vicky, M. (2009). Understanding the factors affecting e-business adoption and impact on logistics processes. Journal of Manufacturing Technology Management, 20(6), 853–865.

    Article  Google Scholar 

  • Aung, M., & Chang, Y. (2014). Traceability in a food supply chain: Safety and quality perspectives. Food Control, 39, 172–184.

    Article  Google Scholar 

  • Benaroch, M., Lichtenstein, Y., & Robinson, K. (2006). Real options in information technology risk management: An empirical validation of risk-validation of risk-option relationships. MIS Quarterly, 30(4), 827–864.

    Google Scholar 

  • Chari, M., Devaraj, S., & David, P. (2008). The impact of information technology investments and diversification strategies on firm performance. Management Science, 54(1), 224–235.

    Article  Google Scholar 

  • Choi, T. M., (2013). Multi-period risk minimization purchasing models for fashion products with interest rate, budget, and profit target considerations. Annals of Operations Research, (in press). doi:10.1007/s10479-013-1453-x.

  • Choi, T. M., & Chiu, C. H. (2012). Risk analysis in stochastic supply chains: A mean-risk approach. Springer, International Series in Operations Research and Management Science.

  • Choi, T. M., Chow, P., & Xiao, T. (2012). Electronic price-testing scheme for fashion retailing with information updating. International Journal of Production Economics, 140, 396–406.

    Article  Google Scholar 

  • Chow, J., & Regan, A. C. (2011). Real option pricing of network design investments. Transportation Science, 45(1), 50–63.

    Article  Google Scholar 

  • Dabbene, F., Gay, P., & Tortia, C. (2014). Traceability issues in food supply chain management: A review. Biosystems Engineering, 120, 65–80.

    Article  Google Scholar 

  • Eksoz, C., Mansouri, S. F., & Bourlakis, M. (2014). Collaborative forecasting in the food supply chain: A conceptual framework. International Journal of Production Economics, 158, 120–135.

    Article  Google Scholar 

  • Hult, G. T., Craighead, C., & Ketchen, D. (2010). Risk uncertainty and supply chain decisions: A real option perspective. Decision Science, 41(3), 435–457.

    Article  Google Scholar 

  • Knowledge@Wharton (2014). From vaccines to cheese caves: Energizing the ‘cold chain’. Knowlwdge @Wharton, Sep. 14.

  • Lankton, N., & Luft, J. (2008). Uncertainty and industry structure effects on managerial intuition about information technology real options. Journal of Management Information Systems, 25(2), 203–240.

    Article  Google Scholar 

  • Li, X., & Johnson, J. (2002). Evaluate IT investment opportunities using real options theory. Information Resources Management Journal, 15(3), 32–47.

    Article  Google Scholar 

  • Longstaff, F., & Schwartz, E. (2001). Valuing American options by simulation: A simple least-squares approach. The Review of Financial Studies, 14(1), 113–147.

    Article  Google Scholar 

  • MGI (2013). China’s E-tail revolution: Online shopping as a catalyst for growth. Mckinsey Global Institute.

  • Migliore, G., Schifani, G., & Cembalo, L. (2015). Opening the black box of food quality in the short supply chain: Effects of conventions of quality on consumer choice. Food Quality & Preference, 39, 141–146.

    Article  Google Scholar 

  • Nguyen, H. (2013). Critical factors in e-business adoption: Evidence from Australian transport and logistics companies. International Journal of Production Economics, 146(1), 300–312.

    Article  Google Scholar 

  • Oberholtzer, L., Dimitri, C., & Jaenicke, E. C. (2014). Examining US food retailers’ decisions to procure local and organic produce from farmer direct-to-retail supply chains. Journal of Food Products Marketing, 20(4), 345–361.

    Article  Google Scholar 

  • Petruzzi, N. C., & Dada, M. (1999). Pricing and newsvendor problem: A review with extensions. Operations Research, 47(2), 183–194.

    Article  Google Scholar 

  • Samis, M., Laughton, D. & Poulin, R., (2013). Risk discounting: The fundamental difference between the real option and discounted cash flow project valuation methods. In Working paper.

  • Schwartz, E., & Zozaya-Gorostiza, C. (2003). Investment under uncertainty in information technology: Acquisition and development projects. Management Science, 49(1), 57–70.

    Article  Google Scholar 

  • Trigeorgis, L. (1996). Real options: Managerial flexibility and strategy in resource allocation. Cambridge: MIT Press.

    Google Scholar 

  • Validi, S., Bhattacharya, A., & Byrne, P. J. (2014). A case analysis of a sustainable food supply chain distribution system: A multi-objective approach. International Journal of Production Economics, 152, 71–87.

    Article  Google Scholar 

  • Wagner, S., Padhi, S., & Zanger, I. (2014). A real option-based supply chain project evaluation and scheduling method. International Journal of Production Research, 52(12), 3725–3743.

    Article  Google Scholar 

  • Wu, I., & Chen, J. (2006). A hybrid performance measure system for e-business investments in high-tech manufacturing: An empirical study. Information & Management, 43(3), 364–377.

    Article  Google Scholar 

  • Zarei, M., Fakhrzad, M. B., & Paghaleh, M. J. (2011). Food supply chain leanness using a developed QFD model. Journal of Food Engineering, 102, 25–33.

    Article  Google Scholar 

  • Zhao, T., Sundararajan, S., & Tseng, C. (2004). Highway development decision-making under uncertainty: A real options approach. Journal of Infrastructure System, 10(1), 23–32.

    Article  Google Scholar 

  • Zhou, H. M., Ding, Q., & Otto, J. (2013). The reality and prospect of fresh agricultural product supply chains in China. International Journal of Applied Management Science, 5(3), 251–264.

    Article  Google Scholar 

Download references

Acknowledgments

The third author was supported in part by the Fund for International Cooperation and Exchange of the National Natural Science Foundation of China (Grant No.71110107024).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ziping Wang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, Z., Yao, DQ. & Yue, X. E-business system investment for fresh agricultural food industry in China. Ann Oper Res 257, 379–394 (2017). https://doi.org/10.1007/s10479-015-1830-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10479-015-1830-8

Keywords

Navigation