Browse > Article
http://dx.doi.org/10.3837/tiis.2021.08.020

Strategies of Knowledge Pricing and the Impact on Firms' New Product Development Performance  

Wu, Chuanrong (School of Economy and Management, Changsha University of Science & Technology)
Tan, Ning (School of Economy and Management, Changsha University of Science & Technology)
Lu, Zhi (Peter B. Gustavson School of Business, University of Victoria)
Yang, Xiaoming (College of Business Administration, University of Nebraska at Omaha)
McMurtrey, Mark E. (College of Business, University of Central Arkansas)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.15, no.8, 2021 , pp. 3068-3085 More about this Journal
Abstract
The economics of big data knowledge, especially cloud computing and statistical data of consumer preferences, has attracted increasing academic and industry practitioners' attention. Firms nowadays require purchasing not only external private patent knowledge from other firms, but also proprietary big data knowledge to support their new product development. Extant research investigates pricing strategies of external private patent knowledge and proprietary big data knowledge separately. Yet, a comprehensive investigation of pricing strategies of these two types of knowledge is in pressing need. This research constructs an overarching pricing model of external private patent knowledge and proprietary big data knowledge through the lens of firm profitability as a knowledge transaction recipient. The proposed model can help those firms who purchase external knowledge choose the optimal knowledge structure and pricing strategies of two types of knowledge, and provide theoretical and methodological guidance for knowledge transaction recipient firms to negotiate with knowledge providers.
Keywords
Knowledge transaction; two-part tariff pricing; lump-sum pricing; royalty pricing; subscription pricing; pay-per-use pricing;
Citations & Related Records
연도 인용수 순위
  • Reference
1 C. Wu, H. Yin, X. Yang, Z. Lu, and M. E. McMurtrey, "Pricing method for big data knowledge based on a two-part tariff pricing scheme," Intelligent Automation & Soft Computing, vol. 26, no. 5, pp. 1173-1184, 2020. .   DOI
2 J. Huang, R. J. Kauffman, and D. Ma, "Pricing strategy for cloud computing: A damaged services perspective," Decision Support Systems, vol. 78, pp. 80-92, Oct. 2015.   DOI
3 F. Bingxu, "Design and analysis of a rural accurate poverty alleviation platform based on big data," Intelligent Automation & Soft Computing, vol. 26, no.3, pp. 549-555, 2020.   DOI
4 C. Wu, V. Lee, and M. E. McMurtrey, "Knowledge composition and its influence on new product development performance in the big data environment," Computers, Materials & Continua, vol. 60, no. 1, pp. 365-378, Jan. 2019.   DOI
5 M. S. Martin and A. I. Saracho, "Optimal two-part tariff licensing mechanisms," The Manchester School, vol. 83, no. 3, pp. 288-306, jun. 2015.   DOI
6 F. Xhafa, "Advanced knowledge discovery techniques from Big Data and Cloud Computing," Enterprise Information Systems, vol. 10, no. 9, pp. 945-946, Sep. 2016.   DOI
7 X. Jiang, M. Coffee, A. Bari, J. Wang, X. Jiang et al., "Towards an artificial intelligence framework for data-driven prediction of coronavirus clinical severity," Computers, Materials & Continua, vol. 63, no. 1, pp. 537-551, Mar. 2020.
8 Y. Xue, Q. Li and F. Ling, "Teensensor: gaussian processes for micro-blog based teen's acute and chronic stress detection," Comput Syst Sci & Eng, vol. 34, no.3, pp. 151-164, May 2019.   DOI
9 Y. Xue, Q. Li, T. Wu, L. Feng, L. Zhao, and F. Yu, "Incorporating stress status in suicide detection through microblog," Comput Syst Sci and Eng, vol. 34, no.2, pp. 65-78, Mar. 2019.   DOI
10 E. Henry and C. J. Ponce, "Waiting to imitate: on the dynamic pricing of knowledge," Journal of Political Economy, vol. 119, no. 5, pp. 959-981, Oct. 2011.   DOI
11 C. Wu, E. Zapevalova, Y. Chen, and F. Li, "Time optimization of multiple knowledge transfers in the big data environment," Computers Materials & Continua, vol. 54, no. 3, pp. 269-285, Mar. 2018.
12 Y. H. Farzin, K. Huisman and P. Kort, "Optimal timing of technology adoption," Journal of Economic Dynamics and Control, vol. 22, no. 5, pp. 779-799, May 1998.   DOI
13 S. H. Chun, "Cloud services and pricing strategies for sustainable business models: analytical and numerical approaches," Sustainability, vol. 12, no. 1, pp. 1-15, 2020.   DOI
14 D. Teece, "Technology transfer by multinational firms: the resource cost of transferring technological know-how," The Economic Journal, vol. 87, no. 346, pp. 242-261, 1977.   DOI
15 N. Dimitri, "Pricing cloud IaaS computing services," Journal of Cloud Computing: Advances, Systems and Applications, vol. 9, no. 1, pp. 1-11, Mar. 2020.   DOI
16 S. H. Chun, B. S. Choi, Y. W. Ko, and S. H. Hwang, "The comparison of pricing schemes for cloud services," Lecture Notes in Electrical Engineering, vol. 301, pp. 853-861, 2014.   DOI
17 M. Reisinger, "Two-part tariff competition between two-sided platforms," European Economic Review, vol. 68, no. 3, pp. 168-180, May 2014.   DOI
18 C. Wu and D. Zeng, "Knowledge transfer optimization simulation for innovation networks," Information Technology Journal, vol. 8, no. 4, pp. 548-594, Apr. 2009.
19 I. M. Almanjahie, Z. C. Elmezouar and A. Laksaci, "Functional causality between oil prices and gdp based on big data," Computers, Materials & Continua, vol. 63, no. 2, pp. 593-604, May 2020.
20 G. Sun, H. Lv, D. Wang, X. Fan and Y. Zuo, "Visualization analysis for business performance of Chinese listed companies based on Gephi," Computers, Materials & Continua, vol. 63, no. 2, pp. 959-977, 2020.
21 C. Wu, Y. Chen and F. Li, "Decision model of knowledge transfer in big data environment," China Communications, vol.13, no.7, pp. 100-107, Jul. 2016.   DOI
22 K. C. A. Wang, W. J. Liang, and P. S. Chou, "Patent licensing under cost asymmetry among firms," Economic Modelling, vol. 31, pp. 297-307, Mar. 2013.   DOI
23 U. Doraszelski, "Innovations, improvements, and the optimal adoption of new technologies," Journal of Economic Dynamics and Control, vol. 28, no. 7, pp. 1461-1480, Apr. 2004.   DOI
24 F. Liu, Z. Zhang, L. Zhao, X. Zhou, and M. Xiang, "Multi-stage game of knowledge pricing," Open Automation & Control Systems Journal, vol. 7, no. 1, pp. 421-425, May 2015.   DOI
25 K. J. Arrow, "Economic welfare and the allocation of resources for invention," Readings in Industrial Economics, pp 219-236, 1972.
26 S. Vishwasrao, "Royalties vs. fees: How do firms pay for foreign technology?," International Journal of Industrial Organization, vol. 25, no. 4, pp. 741-759, Aug. 2007.   DOI
27 D. Sen and Y. Tauman, "General licensing schemes for a cost-reducing innovation," Games & Economic Behavior, vol. 59, no. 1, pp. 163-186, Apr. 2007.   DOI
28 A. K. Edinat, "Cloud computing pricing models: a survey," International Journal of Scientific and Engineering Research, vol. 6, no. 9, pp. 22-26, Oct. 2019.
29 B. Janakiraman and S. Arumugam, "Personalized nutrition recommendation for diabetic patients using optimization techniques," Intelligent Automation & Soft Computing, vol. 26, no.2, pp. 269-280, Jan. 2020.
30 M. D. Assuncao, R. N. Calheiros, S. Bianchi, M. A. S. Netto, and R. Buyyaet, "Big Data computing and clouds: Trends and future directions," J. Parallel Distrib Comput, vol. 78-80, pp. 3-15, May 2015.
31 E. Chantrel, A. Grimaud, and F. Tournemaine, "Pricing knowledge and funding research of new technology sectors in a growth model," Journal of Public Economic Theory, vol. 14, no. 3, pp. 493-520, Jan. 2012.   DOI