IJBI

Abstract
The Clean Development Mechanism (CDM), established under the Kyoto Protocol, is one of the market-based mechanisms developed to assist industrialized countries mitigate greenhouse gas (GHG) emissions, achieve emission reduction targets, and at the same time promote sustainable development in developing countries. The CDM, which provides flexibility and cost-effectiveness in meeting GHG emission reduction targets, has captured interest globally. CDM implementation is expected to generate benefits, give developing countries a sense of ownership, and share the global load in tackling global warming and climate change. However, CDM implementation faces several complications. The successful participation of developing countries in emission reduction projects presents ongoing challenges, which inhibit their drive towards sustainable development goals. Through a comprehensive review of the literature and theoretical analysis, several factors have been identified as significant to successful CDM implementation in Malaysia. These success factors, which include regulation and a legal framework, competitive advantage, green supply chain, ethical values, financial benefits, and technology transfer, are presented and the importance of each factor is discussed.

Abstract
The present study assesses the technique of back propagation neural networks to appraise the average response time of a B2C Electronic Commerce architecture. In order to delineate the response time, diverse array of user requests were engaged per unit time. Furthermore, engagement of Back Propagation Network Learning (BPNL) algorithm is used to summarize the average response time and augment the enactment of the system. The comprehensive study does the comparative investigation to express the average response time for ANN enabled and without-ANN-enabled algorithm. The objective was to plaid whether ANN enabled algorithm had any bearing on the overall performance of the system. For BPNL algorithm, learning of the responses for the user requests were steered for 7 repetitions and then thorough phases were accomplished to assess the response time. After each iteration, error rates were dogged and then feed forward and back propagation algorithm were used to improve the performance. The experimentation will find its prominence in imminent B2C Electronic Commerce system project and employment and will convey the outline for such investigation. Finally, the study expands the meticulous inferences of the study.

Abstract
The purpose of our paper is to analyze rigorously one of the significant factors of the international competitiveness of the firms that relating to the corporate economic intelligence. The originality of this research lies in the assimilation of the shares relating to the identification and the exploitation of the opportunities, and thus, the entrepreneurial orientation, as an integral part of the corporate economic intelligence able to stimulate the international competitiveness of the Tunisians firms. The results of our analysis applied to a sample of 120 Tunisian firms show the positive and significant effects of the various devices of the corporate economic intelligence relating to the collection, the diffusion of information and the entrepreneurial orientation on the international competitiveness. In addition, our results show that the effects of the devices relating to the analysis and the processing as well as the protection of the information on the international competitiveness are done indirectly via their effects on the entrepreneurial orientation.