Purpose – This paper aims to shed the importance of consultation as the intervention towards realizing the effectiveness of the entrepreneurial training conducted. Consultation deemed as pivotal in supporting the training initiatives which involved reflective learning among the participants.
Theoretical Framework – Business performance acts as the dependent variable, entrepreneurial training as the independent variable while consultation plays a significant role of a mediator. The model of strutured entrepreneurial training for SMEs is conceptualized based on the Experiential Learning Theory (ELT) and the Absorptive Capacity Theory (ACT).
Methodology – Mixed-method design is proposed to be employed in carrying out this research. An explanatory sequential approach of quantitative followed by qualitative data collection are used to achieve the set objectives.
Findings – The expected findings that could shed the light on the importance of consultation in the likelihood of the training effectiveness, thus lead towards favourable performance of the business among SMEs.
Research Implication – From the policymaker perspective, this research paper sheds new light for the Ministry of Entrepreneurship and Cooperative (MEDAC) to design a handful and effective entrepreneurial training and development program among SMEs. This helps to spearhead the national agenda on supporting the SMEs development overall.
Originality/Value – Theoretically, this research could contribute to the current entrepreneurship literature specifically on the entrepreneurial training over the significance of consultation as the mechanism towards effectiveness in training. Also, this research practically implicates the current government agencies’ practices which to incorporate consultation as a pivotal part in the planning and implementaion of the training conducted.
In a Wireless sensor network, network lifetime plays a vital role, wherein regular communication and sensor nodes are positioned at different points. Nodes energy depletion may lead to communication interruption due to unlimited data flow from one point to another; for adequate communication, Nodes energy should be maximized by arranging cutting-edge techniques such as adaptive buffer switching and congestion control significant role. When the incoming data is more wide-ranging than available resources, a congestion situation arises. It results in energy consumption, loss of packets, buffer overflow, and raises end-to-end delay. In this paper, adaptive buffer switching and Congestion Control management are done effectively. Simultaneously, congestion detects based on residual energy, residual buffer space, and sensor nodes conviction level. This methodology shows based on the evaluation of cost, which selects main and spare buffers adaptively. Dynamic buffer switching and swapping are used to enhance the outcome of congestion. Result of the ABETCC approach is compared with the protocol like TCEER and TFCC compared to the data loss ratio and energy consumption
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