Search Results (69)

Today, to properly address circular economy practices, strategic decisions encompassing all the various life cycle stages of products or services have become critically important in the market. However, companies still have difficulties in balancing the technical and environmental requirements of their offerings, and numerous studies outline the need for more research on ecodesign tools to support them in decision-making. To reduce such a research gap, a decision-making framework based on the integrated use of the quality function deployment for the environment (QFDE), analytic hierarchy process (AHP), strengths, weaknesses, opportunities, and threats (SWOT), and TOWS matrix methods was developed through a case study related to the provision of photovoltaic solar systems for domestic use. The results achieved show that to better enhance the company’s offering of ensuring customer satisfaction and green compliance, a shift towards a product–service system (PSS) approach is required, and practical implementation strategies are suggested. Overall, this study contributes to the environmental research literature by streamlining marketing strategy planning decision-making through a novel QFD-based approach that aligns customer requirements with environmental concerns and improvement options. Thus, it provides both academics and practitioners with a useful framework to better address the implementation of circular economy practices. Full article

Laurel (Laurus nobilis L.) is a valuable non-wood forest product (NWFP) in the global export market, with Turkey being the largest supplier. Laurel harvesting is crucial for achieving long-term goals in the NWFP industry. This study assessed the effectiveness of a hybrid framework for prioritizing management strategies for laurel harvesting to boost the forest-based bioeconomy in Turkey. The existing literature highlights the use of multi-criteria decision-making methods when dealing with multiple conflicting criteria. This study proposes a systematic and comprehensive framework to analyze the current situation and develop effective laurel harvesting strategies. An integrated SWOT-fuzzy Pivot Pairwise Relative Criteria Importance Assessment (F-PIPRECIA) and TOWS Matrix approach was used. Data from ten decision makers evaluated four separate SWOT criteria against thirty-two sub-criteria. The most critical strategy identified was Maxi S2 × Maxi O1 (0.0803). Sensitivity analyses validated the results. This study found that the most effective strategies in Turkey include improving environmental and forest planning tools through circular management methods, promoting investment in forest infrastructure, supporting training and entrepreneurship programs in laurel harvesting, and strengthening innovative forest-based value chains. The hybrid framework aims for sustainable laurel resource management while maximizing economic returns. Implementing this methodology will help conserve biodiversity and enhance local communities’ well-being. Full article

The circular economy is one of the main strategies for mitigating the environmental impacts of civil construction due to the generation of construction and demolition waste (CDW). In this transition, evaluating alternatives for using buildings as material banks is a way to make the process of reusing construction components more efficient. Thus, the article aimed to evaluate the state of the art of publications on the relationship between the circular economy in civil construction and the conceptual model of buildings as material banks to mitigate the environmental impacts of CDW. The authors chose the methodological design of Systematic Literature Review, using the Scopus and Web of Science databases for research, with the following search strings: (“construction” or “civil construction” or “built environment” or “construction industry”) and (“circular economy” or “circular construction”) and (“material banks” or “BAMB” or “buildings as material banks” or “building stocks” or “building materials”) and (“construction waste” or “demolition waste” or “CDW” or “construction and demolition waste” or “environmental impacts”). After a screening in which only articles published in journals were selected, from 2013 to 2023, inclusion and exclusion criteria were applied, to evaluate only those that had a direct relationship with CDW management through circular economy strategies and buildings such as banks of material. As a result, 93 articles remained, which were analyzed using a quantitative and qualitative approach. The predominance of applied studies was also noted through case studies that evaluate the management of materials and waste in the urban environment. The qualitative analysis, carried out using a SWOT matrix, highlighted the strengths of the buildings, such as material banks, the potential reduction of resource extraction and urban mining, and promoting the circulation of construction products. However, the recycling of waste, such as aggregates, still stands out as the main end-of-life strategy adopted, even without occupying the top of the waste hierarchy. Full article

The recently deployed Surface Water and Ocean Topography (SWOT) mission for the first time has observed the ocean surface at a spatial resolution of 1 km, thus giving an opportunity to directly monitor submesoscale sea surface height (SSH) variations that have a typical magnitude of a few centimeters. This progress comes at the expense of the necessity to take into account numerous uncertainties in calibration of the quality-controlled altimeter data. Of particular importance is the proper filtering of spatially correlated errors caused by the uncertainties in geometry and orientation of the on-board interferometer. These “systematic” errors dominate the SWOT error budget and are likely to have a notable signature in the SSH products available to the oceanographic community. In this study, we explore the utility of the block-circulant (BC) approximation of the SWOT precision matrix developed by the Jet Propulsion Laboratory for assessment of a mission’s accuracy, including the possible impact of the systematic errors on the assimilation of the wide-swath altimeter data into numerical models. It is found that BC approximation of the precision matrix has sufficient (90–99%) accuracy for a wide range of significant wave heights of the ocean surface, and, therefore, could potentially serve as an efficient preconditioner for data assimilation problems involving altimetry observations by space-borne interferometers. An extensive set of variational data assimilation (DA) experiments demonstrates that BC approximation provides more accurate SSH retrievals compared to approximations, assuming a spatially uncorrelated observation error field as is currently adopted in operational DA systems. Full article

Today’s companies operate in a dynamic, constantly evolving, and highly competitive environment. The globalization of markets has significantly changed the economy, where companies operate within increasingly complex supply chains. The ever-increasing expectations of customers and company stakeholders, as well as the need to incorporate a comprehensive approach to the life cycle of manufactured products in corporate strategies, expose companies to a whole range of risks. The research was based on the need of organizations operating in the (automotive) industry to manage the dynamics of the business environment. This was accomplished using an appropriate model that, through its universality, would help to ensure the effective risk management in a holistic approach, protecting their performance and meeting the needs of the relevant stakeholders. The main idea of the research was to create and implement a dynamic model of risk management in the environment of a production organization based on the use of available methods such as SWOT, PESTLE, brainstorming, affinity diagrams, risk matrix, SIPOC diagram, risk, and the results of questionnaire surveys. The research was conducted in two directions: (1) designing the structure of the dynamic risk management model for the strategic management process; and (2) verifying the effectiveness of the proposed model in specific cases and evaluating the technical and economic benefits. To support the dynamics of the model, three basic management tools have been proposed: process review, internal audit, and management review, enriched with features that support the concept of risk-based thinking. Full article

Forests drive tourism growth in China, offering ecologic and economic benefits over urbanization trends. Wellness tourism, aligned with UN goals, thrives in forest settings, though challenges remain, particularly in the underinvested forest regions of Western China. This study aims to identify and rank the forest wellness tourism industry development strategies for Chongqing Tea Mountain and Bamboo Forest National Park in China. The SWOT method was used to construct the strategy, while the AHP method and QSPM matrix were used to rank the selected strategies. The data used in the analysis were the survey questionnaire data of 356 individuals to construct the model to identify the strategies, and the interview data of 23 experts to rate the strategies using the Delphi method. The effectiveness of eight internal and seven external factors for forest wellness tourism was evaluated. The survey results highlight the most significant advantages of the Chongqing Tea Mountains and Bamboo Forest as being its “beautiful natural and unique scenery”, and its most significant shortcomings as its “insufficient supporting facilities and weak infrastructure”. The QSPM matrix analysis reveals that the ‘offensive strategy’ is the best. The results also emphasize the importance of “Protecting the diverse tourism resources to keep the market prospect and promote wellness industry development” in the study areas. Therefore, the potential of developing forest wellness tourism in this area should be considered and included in the agenda of policy makers to strengthen the development of forest wellness tourism, improve the economic status of the tourism of the jurisdiction, and create employment opportunities in tourism-related businesses. Full article

Today, green transport is a growing trend in terms of transport costs, CO₂ emissions and satisfaction with logistics services. Green logistics is an environmentally friendly and sustainable logistics system that encompasses activities affecting logistics functions and processes, promoting the environment and the development of a circular economy. Rail transport is considered to be one of the least polluting modes of transport, but the fact that only electrified rail represents the concept of green logistics has been underemphasised, as the fleet consisting of diesel trains is a major challenge. This article aims to investigate the implementation of green logistics in railway transport in the case of Lithuania. The scientific literature, SWOT analysis, expert evaluation and parameter correlation methods were used to achieve this goal. An analysis of the internal and external factors of Lithuanian Railways in terms of green logistics has identified the main strengths of rail transport. These are environmental friendliness, electric trains reducing CO₂ emissions, a strong focus on circular economy and others. The main weaknesses include the more extensive use of diesel trains, competition, etc. The external factors of the company show that the main opportunities are the reduction in net CO₂ emissions to zero, the acquisition of more electric locomotives and others, while the main threats include an increase in energy costs or the complexity of implementing new technologies. An analysis of these factors has led to the construction of a SWOT matrix, which shows that the company’s strategy in the field of green logistics is quite strong, with more strengths than weaknesses. The results made it possible to identify the links between the individual implementation principles of green logistics in railway transport and provide strategic guidelines for the successful integration of green logistic principles into railway transport in Lithuania. Full article

Natural gas is a fossil resource less polluting compared to oil and coal. Despite the large volumes of proven reserves in Brazil, exploration and production are low because of several factors like the lack of infrastructure along several regions of the country, the regulatory model in the consolidation phase, and legal impasses regarding tariffs. In the Brazilian north region, the expansion of the natural gas market is even more complex due to regional specificities both in relation to natural characteristics and the existence of conflicts of interest that impact regional development. However, natural gas has been gaining notoriety over the years, with the existence of large projects that foster the gas market in some states in the region. This article aimed to discuss the impacts of increasing the participation of natural gas in the regional energy matrix through small-scale LNG projects, analyzing the case of the state of Roraima and the impacts of the Azulão-Jaguatirica II Project on this state. As a result, this research presented an evaluation of the existent regulation in Brazilian’s northern states, a bibliometric analysis of natural gas in the Brazilian Amazon which demonstrated how little the topic is covered, and a SWOT matrix about the impacts of natural gas in regional energy supply in order to help future decision-making on the subject. Full article

Ethiopia has a high potential for the production of honey and other apiary products due to its ideal agroecology. This potential is, however, not yet well utilized due to weak production and valorization systems. The study analyzed beekeeping systems and their honey value chain to detect the barriers and to explore ways to better exploit the existing potential. Descriptive statistics, a SWOT and PESTEL matrix, and system mapping were utilized for analysis. Ethiopian beekeeping is still dominated by traditional production systems, followed by modern and transitional systems, differing in types of beehives and the average amount of honey yield. The combined SWOT-PESTEL analysis revealed challenges like a limited supply and high cost of modern beehives, shortage of credit, absence of a honey marketing legal framework, pest and predator attacks, absconding, and uncontrolled application of agrochemicals. Opportunities include the globally increasing demand for honey, availability of good investment policy, conducive agroecology, and support from NGOs. The less productive techniques of smallholder beekeepers’ crude honey production for local beverage making affected the good use of the potential and minimized its contribution to the local and national economy. On the contrary, strengthening private investors and cooperatives towards the production of fully and semi-processed honey impacted the utilization of the potential positively. Full article

The potency and challenges of sorghum development in tidal swamplands in Indonesia have yet to be well studied. Thus, our study is the first to evaluate the land suitability, economic performance, and strategies for developing sorghum in the tidal swamplands in Central Kalimantan. We use the land suitability evaluation method, a gross margin and profit analysis, a break-even analysis, and a competitive analysis as the methods for assessing the potency and utilization of sorghum in this study. As a tool for decision-making, SWOT was also used, followed by a quantitative strategic planning matrix (QSPM) analysis. The results show that 578,511 ha of arable land is suitable for sorghum development. Economically, sorghum farming can generate IDR 12,894,000 per ha with a revenue-cost ratio of 1.72; the break-even price would be IDR 2447 per kg, around 42% lower than the current market price. Sorghum is also more competitive than cassava (Q = 0.76), sweet potato (Q = 0.58), and soybeans (Q = 0.61) and less competitive than maize (Q = 1.33). Based on the QSPM analysis, five alternative strategies were obtained for developing sorghum in tidal swamplands: (1) optimization of productivity; (2) improvement in the quality of human resources for farmers; (3) facilitation of partnership cooperation; (4) application of site-specific technology; and (5) optimization of waste utilization. These strategies show that the expansion of sorghum planting has potential in the tidal swamplands and economic value for the community. Full article

The upcoming technology of wide-swath altimetry from space will enable monitoring the ocean surface at 4–5 times better spatial resolution and 2–3 times better accuracy than traditional nadir altimeters. This development will provide a chance to directly observe submesoscale sea surface height (SSH) variations that have a typical magnitude of a few centimeters. Taking full advantage of this opportunity requires correct treatment of the correlated SSH errors caused by uncertainties in environmental conditions beneath the satellite and in the geometry and orientation of the on-board interferometer. These observation errors are highly correlated both along and across the surface swath scanned by the satellite, and this presents a significant challenge for accurate processing. In particular, the SWOT precision matrix has off-diagonal elements that are too numerous to allow standard approaches to remain tractable. In this study, we explore the utility of a block-diagonal approximation to the SWOT precision matrix in order to reconstruct SSH variability in the region east of Greenland. An extensive set of 2dVar assimilation experiments demonstrates that the sparse approximation proposed for the precision matrix provides accurate SSH retrievals when the background-to-observation error ratio ν does not exceed 3 and significant wave height is below 2.5 m. We also quantify the range of ν and significant wave heights over which the retrieval accuracy of the exact spatially correlated SWOT error model will outperform the uncorrelated model. In particular, the estimated range is found to be substantially wider ($\nu <10$ with significant wave heights below 8–10 m), indicating the potential benefits of further improving the accuracy of approximations for the SWOT precision matrix. Full article

This study delved into the cultural capital, value systems, and social organizations in sea salt farming in Ban Laem District of Phetchaburi Province, considered within the framework of GIAHS. The research methodology involved qualitative tools such as in-depth interviews, SWOT analysis, and TOWS matrix, and focus group discussions with key stakeholders such as salt farmers, community leaders, local government officials, and scholars. The study underlines that the sea salt production in Ban Laem District is deeply rooted in both tangible and intangible cultural traits, contributing to the area’s distinct cultural identity. The traditional ceremonies, foods, crafts, and tools associated with salt production form the tangible cultural aspects unique to the area. Sea salt farming’s historical, aesthetic, scientific, economic, and social values accentuate its community-wide importance. However, challenges such as traditional knowledge and practice erosion, skilled labor scarcity, limited comprehension of Good Agricultural Practice (GAP), environmental degradation, and globalization’s impact threaten the cultural authenticity of the salt farming community. To counter these challenges, this study recommends preservation of traditional knowledge, cultural value awareness, reinforced environmental conservation, and fostering collaborations among salt farmers, governmental bodies, and the private sector. Collectively, these efforts will contribute to the sustainability and resilience of Ban Laem’s sea salt cultural heritage. Full article

In the context of frequent food crises, Angola needs to improve the efficiency of agricultural production to meet the rigid domestic demand for food consumption. China has accumulated experience and technology in agricultural production over the years, it is a strategic partner for Angola, and Angola has a prominent place in the destination of Chinese investments. Therefore, agricultural cooperation between China and Angola based on mutual benefits will not only help Angola solve the problem of self-sufficiency in food but also provide a broad space for Chinese agricultural technology to “go global”, thereby providing reliable domestic food security solutions. Through the SWOT method, this study analysed Angola’s agricultural development prospects and the current situation of China and Angola’s agricultural cooperation to build a SWOT matrix and formulate reliable agricultural cooperation development strategies for promoting agricultural cooperation between China and Angola. Full article

New strategies and market segments considering integrated approaches have emerged as critical components in the energy transition. Agrivoltaics is one approach that has shown a lot of promise for offering advantages in the food-energy-water nexus. The agrivoltaic system involves the installation of photovoltaic panels above agricultural lands to generate electricity while also allowing for crop production. The paper “SWOT and TOWS Matrix Analysis of Agrivoltaic System” comprehensively analyses the potential strengths, weaknesses, opportunities, and threats (SWOT) associated with implementing an agrivoltaic system. This study utilizes a SWOT analysis framework to identify and evaluate the internal and external factors that could impact the implementation and success of the agrivoltaic system. A TOWS matrix analysis is also conducted to formulate strategic recommendations based on the identified SWOT factors. The analysis results reveal that the agrivoltaic system has numerous strengths, including its potential to generate renewable energy, increase crop yield, and provide economic benefits to farmers. However, the system also faces several weaknesses and threats, such as high initial investment costs, land use conflicts, and potential environmental impacts. Based on the TOWS matrix analysis, this study provides strategic recommendations to maximize the potential of the agrivoltaic system while mitigating its weaknesses and threats. These recommendations include adopting a flexible pricing strategy, researching the system’s environmental impact, promoting collaboration between various stakeholders like government agencies, farmers, and energy service companies. Overall, this study provides valuable insights into the potential of agrivoltaic systems and the factors that should be considered when implementing such a system. The findings can help stakeholders make informed decisions and take appropriate actions to ensure the integration of agrivoltaic systems into agricultural practices. Full article

Efficient natural resource management prevents and reduces negative impacts, such as environmental damage, misappropriation of resources, and conflicts; several strategies can be leveraged to conserve, protect, and enhance natural resources. Multicriteria decision analysis (MCDA) is useful in providing solutions to addressing decision choice problems. In this study, the natural resource under evaluation is the chestnut forest, with the objective of valorising its supply chains. The methodology applied is A’WOT, which allows previously identified factors, using a qualitative SWOT matrix, to be ordered through an objective quantification using the AHP (analytic hierarchy process), which is a multicriteria decision support method. The survey was conducted with a group of chestnut resource (n = 20) experts. The SWOT matrix identified a total of 20 factors: 6 strengths and 6 weaknesses and 4 factors each for opportunities and threats. The results express a clear stakeholder interest, which identifies the significant role of civil society in directing management choices for the provision and enhancement of ecosystem and vocational services. This study evaluated the adaptability of decision support tools applied to a real case of forest resource management to identify and order factors useful to enhance the resource and stimulate the supply chains to achieve greater added value. In a general sense, the methodological potential emerged to replicate or improve the research in other geographical regions, whether regional or extraregional, or even on a larger scale, such as on a national level. Full article