Search results

This study provides insight into using ecological design principles in designing high-rise buildings for increasing the ecological capacity of a region. It is a descriptive-analytical survey, which starts with the literacy of the subject, and continues by analyzing successful ecologically designed case studies around the world and notes that by using ecological design principles in designing high-rise buildings, can increase the ecological capacity of a region in order to meet its occupant needs. It indicates that by the industrialization of cities, due to population growth, the value of the land and lack of it for growing population to be settled in, designing high-rise buildings may be the best solution to solve the problem. Moreover, the importance of designing high-rise buildings based on ecological principles has been highlighted by environmental pollution, natural hazards and endangered ecosystems. The ecological design for high-rise buildings is becoming more and more important considering environmental issues. This approach is routed in remaking the natural relationships in ecosystems. The most important feature of nature which can be used in ecological design is its power of reconstruction and rehabilitation. So we can reach an ecosystem in scale of a high-rise building which imitates nature in all its aspects.

This research introduces an innovation strategy aimed at bolstering the reliability of a renewable energy resource, which is hybrid energy systems, through the application of a metaheuristic algorithm. The growing need for sustainable energy solutions underscores the importance of integrating various energy sources effectively. Concentrating on the intermittent characteristics of renewable sources, this study seeks to create a highly reliable hybrid energy system by combining photovoltaic (PV) and wind power.

To obtain efficient renewable energy resources, system designers aim to enhance the system’s reliability. Generally, for this purpose, the reliability redundancy allocation problem (RRAP) method is utilized. The authors have also introduced a new methodology, named Reliability Redundancy Allocation Problem with Component Mixing (RRAP-CM), for optimizing systems’ reliability. This method incorporates heterogeneous components to create a nonlinear mixed-integer mathematical model, classified as NP-hard problems. We employ specially crafted metaheuristic algorithms as optimization strategies to address these challenges and boost the overall system performance.

The study introduces six newly designed metaheuristic algorithms. Solve the optimization problem. When comparing results between the traditional RRAP method and the innovative RRAP-CM method, enhanced reliability is achieved through the blending of diverse components. The use of metaheuristic algorithms proves advantageous in identifying optimal configurations, ensuring resource efficiency and maximizing energy output in a hybrid energy system.

The study’s findings have significant social implications because they contribute to the renewable energy field. The proposed methodologies offer a flexible and reliable mechanism for enhancing the efficiency of hybrid energy systems. By addressing the intermittent nature of renewable sources, this research promotes the design of highly reliable sustainable energy solutions, potentially influencing global efforts towards a more environmentally friendly and reliable energy landscape.

The research provides practical insights by delivering a comprehensive analysis of a hybrid energy system incorporating both PV and wind components. Also, the use of metaheuristic algorithms aids in identifying optimal configurations, promoting resource efficiency and maximizing reliability. These practical insights contribute to advancing sustainable energy solutions and designing efficient, reliable hybrid energy systems.

This work is original as it combines the RRAP-CM methodology with six new robust metaheuristics, involving the integration of diverse components to enhance system reliability. The formulation of a nonlinear mixed-integer mathematical model adds complexity, categorizing it as an NP-hard problem. We have developed six new metaheuristic algorithms. Designed specifically for optimization in hybrid energy systems, this further highlights the uniqueness of this approach to research.

This study assesses how relational factors and buyer-supplier relationship commitment (BSRC) influence supply chain integration (SCI) and firm performance in Bangladesh's apparel manufacturing sector. Firm performance includes operational performance and innovation performance.

Grounded in the social exchange theory, a survey data-based structural equation modeling (SEM) approach is applied. Based on two experts and four executives' opinions and an in-depth literature review, 28 measurement items were identified in the close-ended questionnaire design. Further, 144 valid questionnaires from the manufacturer-supplier dyads in Bangladesh were collected and used for SEM analysis.

Our study reveals that relational factors positively influence BSRC. BSRC directly impacts SCI, operational, and innovation performance, whereas SCI is significantly related to operational and innovation performance. Besides, SCI mediates the two relationships: BSRC and operational performance; and BSRC and innovation performance.

Our results contribute to the literature and offer a new way to understand relationships that connect relational factors of BSRC, BSRC, and outcomes not only by examining the focal firm but also by examining its dyadic supplier partner separately. Separate assessment in the dyad displays some similar and dissimilar results. Moreover, we suggest practical implications for managers to enhance firm performance by focusing on the significance of linking relational factors, BSRC, and SCI.

The purpose of this paper is to investigate the relationships between technology orientations and export performance of small and medium-sized enterprises (SMEs).

A quantitative research design was adopted for this study. The paper formulates hypotheses from the literature review. These hypotheses are tested using structural equation modeling with data collected from 231 SMEs in Uganda. Data were analyzed using SPSS version 23 and AMOS.

The findings of this study showed technology orientation has a positive and significant relationship with the performance of Ugandan SMEs and that supply chain agility moderates technology orientation and export performance.

The study discusses the findings, advances limitations and managerial implications. It also suggests future research avenues. It proposes some recommendations to help Ugandan SMEs to form flexible supply chains, use the latest technology and create strong relationship ties with their partners in the supply chain.

The study suggests that managers of Ugandan SMEs should use the latest technology in production, marketing, logistics and supply chain management which will enable them to respond quickly to customer tastes and preferences leading to higher levels of export performance.

This study contributes to the literature on strategic management showing the reliability of scales used and the confirmatory of the factor structure. This study shows that in strategic management technology, orientation is critical in increasing export performance. This study has extended the resource-based view (RBV) and dynamic capabilities theories.

Health-care supply chains must focus on efficient deployment of resources for ensuring optimal supply chain performance. With efficient supply chain (SC) performance, health-care entities would be able to address their patients’ requirements with great speed. This is the essence of health-care agility. Hence, the purpose of this paper is to focus on developing health-care agility through human capital, that is, innovative idea generation capabilities and specialised knowledge possessed by the firm employees. Because information technology (IT) capabilities play a dominant role in information exchange crucial to supply chain operations; the study considered the moderating role of three IT capabilities, viz. outside-in, spanning and inside-out IT capabilities on human capital and health-care SC performance association, and on health-care supply chain performance and health-care agility association.

Because the constructs used in the study mainly deals with issues specifically related to hospitals and their associated supply chains, the study collected perceptual responses from senior hospital managers. Perceptual responses were received through face-to-face interviews with 212 hospital managers working in different hospitals. The collected responses were analysed using confirmatory factor analysis and structural equation modelling.

Findings suggests positive influences of human capital on health-care SC performance and health-care agility. Furthermore, health-care SC performance was also found to result in enhanced health-care agility. The study further revealed positive moderation of outside-in, spanning and inside-out IT capabilities on human capital and health-care SC performance association and on health-care SC performance and health-care agility association.

The study addressed the importance of human capital in providing faster services to patients (i.e. agility) in health-care supply chains through improved SC performance. Furthermore, the study addressed the importance of different IT capabilities that enhance the importance of human capital in providing efficient and faster services through efficient SC performance.