<?xml version='1.0' encoding='UTF-8'?><rss version='2.0'><channel><title>Volume 12 Number 4 (July )</title>
		<link>http://ijaems.com/</link>
		<description>Open Access international Journal to publish research paper</description>
		<language>en-us</language>
		<date>July </date><item>
		<title>Risk-Based Qualification of Dual-Use Refrigerated Incubators Using Temperature Bracketing and Lifecycle Verification</title>
		<description>The article examines risk-based qualification of dual-use refrigerated incubators using temperature bracketing and verification embedded into equipment lifecycle management. The relevance of the work stems from the need to simultaneously satisfy increasingly stringent GxP regulatory expectations and the demand for operational leanness in laboratory infrastructure, where the traditional V-model of validation results in an excessive volume of mapping activities. The objective of the study is to develop a scientifically justified qualification scheme that, with a minimal number of tests, enables reliable extrapolation of results between boundary and intermediate setpoints. The novelty of the approach lies in integrating engineering data on the thermal behavior of the incubator with the ASTM E2500 methodology and quality risk management principles, as well as in introducing the concept of dynamic qualification, which treats recovery rate as a critical quality attribute. Based on mapping at +5.0 °C and +57.5 °C using 15 calibrated data loggers, a performance envelope is established within which intermediate modes can reasonably be regarded as qualified; acceptance criteria, sensor placement schemes, and the logic of risk-based monitoring within the lifecycle framework are substantiated. The article is intended for validation and quality specialists, equipment engineers, authors of GxP laboratory procedures, and regulatory inspectors.</description>
		<link>http://ijaems.com/detail/risk-based-qualification-of-dual-use-refrigerated-incubators-using-temperature-bracketing-and-lifecycle-verification/</link>
		<author>Pujari Prasantha</author>
		<pdflink>http://ijaems.com/upload_images/issue_files/1IJAEMS-106202624-Risk-Based.pdf</pdflink>
                
		</item><item>
		<title>Embedding SMEs in Supply Chains to Enhance Their Survival: A Comprehensive Exploration </title>
		<description>Purpose – Small and medium-sized enterprises (SMEs) play a pivotal role in the global economy, contributing significantly to innovation, employment, and economic growth. However, their survival rate remains low motivating the need to find practical ways to enhance their survival. SME integration into global supply chains enhances their survival and success. Yet, embedding in supply chains remains a challenge for SMEs. This article examines the integration of SMEs within supply chains, emphasizing the opportunities that support their sustainability and expansion. It also enhances the understanding of the significance and impact of embedding SMEs in supply chains as a strategy for improving their long-term viability. Adopting a humanist paradigm with an interpretivist epistemological stance, a qualitative and phenomenological approach, this empirical study investigates the perspectives and experiences of supply chain professionals, SME managers and owners, and incubators actively engaged in the SME sector, gathering data on their insights and real-world experiences. regarding the phenomenon of the value of embedding SMEs in supply chains. The study utilised purposive sampling to achieve data saturation through semi-structured interviews with a total of 30 participants in Botswana.  The findings were analysed using a thematic approach. The results obtained show that embedding SMEs in supply chains significantly enhances their survival by fostering resilience, innovation, and market competitiveness. They also reveal that embedding in supply chains allows SMEs to leverage strategic intelligence, collaborate with partners, and adopt sustainable practices, ultimately positioning them to navigate challenges effectively enhancing their survivability. Notwithstanding these life-saving benefits, the results also indicate that embedding in supply chains is slow and not prioritised among SMEs. These insights offer academics and practitioners a more comprehensive understanding of the significance of integrating SMEs into supply chains as a survival practice and suggest that SMEs should prioritise and increase the pace of embedding in SMEs. Notwithstanding the opportunities for deeper insights into the lived experiences of participants, potentially revealing nuanced understandings of their contexts, the research&#039;s limitations include potential biases from interviewee perspectives, reliance on subjective interpretations, and the challenge of generalizing findings beyond the specific context of Botswana&#039;s SMEs. This calls for future studies to collect data from various socio-economic contexts using different data collection methods for comprehensive discussion regarding the importance of embedding SMEs in supply chains. The paper presents the value of SMEs in supply chains as an approach that significantly enhances SME survival providing a conceptual model that can be useful in understanding the phenomenon of embedding in supply chains.</description>
		<link>http://ijaems.com/detail/embedding-smes-in-supply-chains-to-enhance-their-survival-a-comprehensive-exploration/</link>
		<author>Absolom Mukonyo</author>
		<pdflink>http://ijaems.com/upload_images/issue_files/2IJAEMS-106202625-Embedding.pdf</pdflink>
                
		</item><item>
		<title>Algorithmic Governance and Trust Calibration in Project Management</title>
		<description>Today, AI and predictive analytics can obsolete the primitive “take a stab at it” attitude towards project risk management. These technologies ensure that the businesses are aware of building projects which may be delayed or cost overruns in advance. Most of the existing research however focuses on enhancing the math’s and algorithms and has not studied the question of trust and usage of this data amongst real project managers (PMs) working in their day to day role. This paper does so. We combine the Technology Acceptance Model (TAM) with Sociotechnical Systems (STS) theory to describe the human aspect of the AI tools. We argue that there are two problems with an out-of-balance manager’s trust: either the manager appeals to the wrong data (automation rejection) or the manager hands over to the machine, believing that the machine is always in the right (automation bias). Both the errors negatively affect the successful completion of a project.</description>
		<link>http://ijaems.com/detail/algorithmic-governance-and-trust-calibration-in-project-management/</link>
		<author>Syed Osman Zulnorain</author>
		<pdflink>http://ijaems.com/upload_images/issue_files/3IJAEMS-10720264-Algorithmic.pdf</pdflink>
                
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