A study on performance tracing of the e-MP policy

• Published in: Expert systems with applications 2011-06, Vol.38 (6), p.6606-6611
• Main Authors: Ou, Jia-Ruey, Fu, Hsin-Pin, Hu, Kuan-Yu, Chu, Kuo-Kuang, Chiou, Chyou-Huey
• Format: Article
• Language: English
• Subjects: Adjustment; B2BIS; Business; Expert systems; Fuzzy; Fuzzy AHP; Fuzzy logic; Fuzzy set theory; Governments; Information systems; Policies; Promotion policy
• ISSN: 0957-4174; 1873-6793
• DOI: 10.1016/j.eswa.2010.11.078

► This paper used Fuzzy AHP to find “initial expectation” of enterprises adopting B2BIS. ► The “initial expectation” corresponds to the improvement in operational efficiency and customer satisfaction. ► The performance measures corresponded to the expected performance in each of the cases. ► We made highlighted the E-MP policy implications and suggestions of the findings from this study. Since 2000, the Industrial Development Bureau (IDB) of the Government in Taiwan has been implementing a policy of Electronic Manufacturing Promotion (e-MP) to assist firms to implement Business to Business Information System (B2BIS). In general, the actual performance of e-MP policy has just been based on the data given in a final report produced by the funded firm. Consequently there is no clear evidence as to the efficacy of the e-MP policy. Therefore, this paper mainly covers two parts (i) A Fuzzy analytic hierarchical process (Fuzzy AHP) was utilized to explore the weights of each policy item according to project leaders’ response of 17 funded cases to see whether the current e-MP policy really benefits firms and (ii) financial data of 30 cases was collected from the stock exchange in Taiwan to understand the actual performance and Fuzzy AHP was utilized to find the funded cases’ initial expectation to see whether the adoption of B2BIS by those cases funded by the Government actually met initial expectation. The results of this study indicate that the e-MP policy need to be adjust and costs decreased and work efficiencies rose are most important benefit in most of the funded cases after introduction of B2BIS and this meet their initial expectation. Finally, implications and suggestions are given for the e-MP policy to facilitate adjustments by the IDB.