Modeling and simulation for enterprises' RFID adoption and internalization based on stochastic Petri nets

被引：0
|
作者：
Li W. [1 ]
Gao S. [1 ]
Zhang X. [1 ]
Feng L. [1 ]
机构：
[1] School of Economics and Management, Nanchang Hangkong University, Nanchang
来源：
| 1600年 / CIMS卷 / 26期
关键词：
Adoption and internalization; Markov chain; Modeling and simulation; Radio frequency identification technology; Stochastic Petri nets;
D O I：
10.13196/j.cims.2020.02.020
中图分类号：
学科分类号：
摘要：
As one of the important enabling technologies for intelligent manufacturing, the adoption and internalization of Radio Frequency Identification(RFID) has great significance in promoting the innovation and service transformation for traditional enterprises. To reveal the rules of enterprises' RFID adoption and internalization process, a Petri net model was constructed based on the conceptual model of RFID adoption and internalization. The isomorphic Markov chain model was established on the basis of reachable set, the implementation rate matrix of the transition was obtained, and the overdetermined linear mode group was further obtained by solving the matrix. Taking the "Wal-Mart Group RFID Technology Innovation" as an example, the RFID adoption and internalization process was simulated. The result showed that overall optimization of the external environment (such as technology and policy) would help promoting enterprises' RFID adoption and enhancing the value of RFID internalization; the greater value would be created if enough impetus given by government, enterprises and suppliers; preparatory work of RFID project (such as test run, and result feedback) would help accumulating positive effects. All of these would provide theoretical basis and practical experience for promoting enterprises' RFID adoption and internalization scientifically and reasonably. © 2020, Editorial Department of CIMS. All right reserved.
引用
收藏
页码：470 / 480
页数：10
相关论文
共 22 条
  • [1] IOT white paper(2016), (2016)
  • [2] Li W., Review on enterprise's RFID adoption behavior, China Journal of Information Systems, 14, pp. 98-108, (2014)
  • [3] Tsai M.C., Lee W., Wuh C., Determinants of RFID adoption intention: evidence from Taiwanese retail chains, Information & Management, 47, 5-6, pp. 255-261, (2010)
  • [4] Yan B., Xiang W., Shi P., Analysis of influence for adoption of internet of things in agricultural supply chain, Soft Science, 27, 3, pp. 22-26, (2013)
  • [5] Matta V., Koonce D., Jeyaraj A., Initiation, experimentation, implementation of innovations: the case for radio frequency identification systems, International Journal of Information Management, 32, 2, pp. 164-174, (2012)
  • [6] Ramakrishnan R., Usha R., Lok W., Et al., Adoption of RFID technologies in UK logistics: moderating roles of size, barcode experience and government support, Expert System with Applications, 41, 1, pp. 230-236, (2014)
  • [7] Chen X., Wang F., Research on the influencing factors of the adoption of radio frequency identification technology in Chinese enterprises, Science Research Management, 34, 2, pp. 1-9, (2013)
  • [8] Ngai E.W.T., Chau D.C.K., Poonj K.L., Et al., Implementing an RFID-based manufacturing process management system: lessons learned and success factors, Journal of Engineering and Technology Management, 29, 1, pp. 112-130, (2012)
  • [9] Yang J., Jiao Y., Research on RFID adoption by food firms-based on experimental analysis from eight provinces(Cities), Soft Science, 26, 1, pp. 104-108, (2012)
  • [10] Zhu X., Ye Q., Li Y., Research on innovation adoption, diffusion, and assimilation at the firm level, China Journal of Information Systems, 3, 2, pp. 66-76, (2009)
123