المؤلفون: Longxiao Li, Zusheng Zhang, Xixi Li, Jiafu Su, Yanling Jiang, Jun Cao, Fangsu Zhao

المصدر: Heliyon, Vol 10, Iss 6, Pp e27938- (2024)

مصطلحات موضوعية: Sustainability mining, Triple bottom line, Takeaway businesses' sustainability, Online food delivery, Service supply chain, Bayesian best-worst method, Science (General), Q1-390, Social sciences (General), H1-99

الوصف: The online food delivery service supply chain constitutes a crucial element in achieving sustainable development goals. With its prosperity, an increasing number of takeaway businesses are drawn to this sector. As their numbers rise, issues such as profitability resilience, environmental friendliness, and fulfillment of social responsibility emerge, posing potential disruptions to the service supply chain. Against this backdrop, our endeavor is to mine the sustainability of takeaway businesses using the triple bottom line. We propose a two-stage approach involving the Bayesian best-worst method and a data mining technique to derive the weights of sustainability criteria and the clusters of takeaway businesses. Subsequently, a case study is conducted focusing on takeaway businesses on the Ele.me platform in China. The results highlight economic sustainability as the most valued criterion, followed by social and environmental sustainability. Clustering outcomes reveal four distinct levels of sustainability, with a stronger performance in social sustainability compared to environmental and economic dimensions. Further discussions explore the relationship between sustainability levels, cuisine categories, and business size. Consequently, this study suggests an effective approach for advancing sustainability initiatives within the online food delivery service supply chain.

وصف الملف: electronic resource

العلاقة: http://www.sciencedirect.com/science/article/pii/S2405844024039690Test; https://doaj.org/toc/2405-8440Test

الوصول الحر: https://doaj.org/article/aa6f4b2f519349839a45562440de3488Test

المؤلفون: Kai Zhang, Zhong Zheng, Ling Feng, Jiafu Su, Huan Li

المصدر: Alexandria Engineering Journal, Vol 76, Iss , Pp 821-834 (2023)

مصطلحات موضوعية: Steel plant, Byproduct gas distribution, Calorific value fluctuation, Supply patterns, Engineering (General). Civil engineering (General), TA1-2040

الوصف: Coke oven gas (COG), blast furnace gas (BFG) and linz-donawitz process gas (LDG) are three types of byproduct gases that serve as pivotal energy carriers in steel plants. Reasonable distribution of byproduct gases plays an important role in energy management and scheduling. However, it is difficult to achieve the goal of on-demand supply due to the changeable supply patterns, which usually hinder the efficient utilization of byproduct gases and cause the environmental pollution. Additionally, the influence of calorific value fluctuation on determining the distribution time periods is a research gap. To tackle this problem, a byproduct gas distribution model for production users considering calorific value fluctuation and supply patterns is proposed in this paper. The model was divided into three linear programming sub-models with flexible objective functions and constraints determined by different supply patterns and distribution strategies. Finally, to demonstrate the performance of the proposed model, a case study was conducted on a typical steel plant, and the results highlight the excellent accuracy of the model and ensures the gases are supplied to the users based on their demand.

وصف الملف: electronic resource

العلاقة: http://www.sciencedirect.com/science/article/pii/S1110016823005409Test; https://doaj.org/toc/1110-0168Test

الوصول الحر: https://doaj.org/article/c05516fe6dc64231a30a6a0b3c2e04e9Test

المؤلفون: Jiafu Su, Dan Wang, Fengting Zhang, Baojian Xu, Zhiguang Ouyang

المصدر: Journal of Theoretical and Applied Electronic Commerce Research, Vol 18, Iss 2, Pp 1126-1141 (2023)

مصطلحات موضوعية: live-streaming e-commerce platform, risk assessment, multi-criteria group decision-making, decision-makers’ professionalism, Business, HF5001-6182

الوصف: Live-streaming e-commerce is the future development direction of the retail industry. When retailers choose a live-streaming e-commerce platform, they face the test of various risks of the platform, such as insecure control of capital flow, insufficient support of public domain traffic, etc. Therefore, it is necessary to evaluate the risks of the platform to help retailers identify the platform with the lowest risk. Considering the complexity of the risks of live-streaming e-commerce platforms and the ambiguity of the decision-makers thinking, the current method for multi-criteria group decision-making (MCGDM) method in a fuzzy environment rarely discusses the decision-makers weight for the criterion. This paper proposes interval-valued intuitionistic fuzzy multi-criteria group decision-making based on the decision-makers’ professionalism to evaluate the platform’s risks. This method determines the decision-maker’s weight for the criterion based on the professionalism of the decision-maker and uses the technique for order preference by similarity to an ideal solution (TOPSIS) method to rank the alternative platforms. Finally, a risk assessment of the agricultural product live-streaming e-commerce platforms is used as a case study to demonstrate the feasibility and effectiveness of the proposed method. This research will not only provide practical guidance for retailers to choose the live-streaming e-commerce platform with the lowest comprehensive risk but also provide ideas for the research of live-streaming e-commerce from the perspective of risk assessment.

وصف الملف: electronic resource

العلاقة: https://www.mdpi.com/0718-1876/18/2/57Test; https://doaj.org/toc/0718-1876Test

الوصول الحر: https://doaj.org/article/e466f75197da41518a696fca639f5f57Test

المؤلفون: Lingyu Zheng, Yixue Zhao, Ran Duan, Wanting Yang, Zhigang Wang, Jiafu Su

المصدر: Frontiers in Public Health, Vol 11 (2023)

مصطلحات موضوعية: spatial perception, activity behavior, community green space, normalized difference vegetation index, green view index, Public aspects of medicine, RA1-1270

الوصف: The purpose of this research is to reveal the internal relationship among community green space, space perception, and activity behavior response to supplement the lack of research results on the binary relationship between green space and behavior. Nine residential community green spaces and 398 residents were selected as the research objects. Thematic clustering and factor identification were used to determine the spatial dimensions of community green space that residents were concerned about. The analysis of the green exposure index, spatial perception evaluation, and activity behavior survey were combined to determine the influence of the green exposure index on spatial perception and activity behavior and its internal correlation path. According to research data, the community green view index (GVI) and normalized difference vegetation index (NDVI) negatively affected the perception factor, while the perception factor positively affected the activity frequency. The SEM model shows that the green exposure index stimulated activity behavior through the intermediate effect of the internal perception path of perceived landscape quality, perceived workability, and perceived accessibility. Spatial perception as the basis of the instantaneous emotional reaction process may affect people's choices for activities but be unable to extend the duration of the activities. The internal association among community green space, spatial perception, and physical activity behavior develops on the basis of spatial patterns at certain scales. This study provides a theoretical basis for understanding the spatial experience and residents' behavioral needs, evaluating the quality of urban green space scientifically, and promoting the optimization of community green space structure.

وصف الملف: electronic resource

العلاقة: https://www.frontiersin.org/articles/10.3389/fpubh.2023.1243838/fullTest; https://doaj.org/toc/2296-2565Test

الوصول الحر: https://doaj.org/article/c85b5fb236d14bf3ba142daa541c2b4fTest

المؤلفون: Ran Duan, Rui Tang, Zhigang Wang, Jiyi Yang, Jiafu Su

المصدر: Frontiers in Ecology and Evolution, Vol 11 (2023)

مصطلحات موضوعية: mountainous industrial park, industrial park, supporting facility layout, user perspective, urban economic growth, Evolution, QH359-425, Ecology, QH540-549.5

الوصف: Industrial parks play a pivotal role in driving urban economic growth in China, particularly in light of the country's extensive mountainous terrain. Effective arrangement of supporting facilities within these parks is crucial for steering industries towards high-quality development. However, the intricate topography of mountainous regions presents challenges in devising optimal layouts for these facilities. This article adopts a user-centric perspective to investigate the impact of mountainous terrain on user fatigue within industrial parks. We employ equivalent coefficient methods to establish a correlation between undulating paths in mountainous terrain and flat paths. This correlation serves as the foundation for a visual analytical tool designed to facilitate the rational placement of supporting facilities in mountainous industrial parks. To validate our approach, we conduct an empirical analysis of the supporting facility layout at Chongqing Dadi Industrial Park. The insights gleaned from our study provide a basis for optimizing the placement of supporting facilities in mountainous industrial parks, enhancing user experiences and aligning with urban growth trajectories. In conclusion, our research offers dual benefits: firstly, it provides a scientific framework for guiding the rational layout of supporting facilities in mountainous industrial parks, addressing the challenges posed by complex terrain. Secondly, it offers practical insights into the comprehensive planning and design of these parks, promoting sustainable urban and economic growth. Our research thus emerges as a valuable resource for the advancement and optimization of mountainous industrial parks in China.

وصف الملف: electronic resource

العلاقة: https://www.frontiersin.org/articles/10.3389/fevo.2023.1243778/fullTest; https://doaj.org/toc/2296-701XTest

الوصول الحر: https://doaj.org/article/a04c42107e3d4b789674f3ac0d9a458cTest

المؤلفون: Xuefeng Zhang, Enjun Xia, Chao Shen, Jiafu Su

المصدر: Journal of Theoretical and Applied Electronic Commerce Research, Vol 17, Iss 4, Pp 1297-1319 (2022)

مصطلحات موضوعية: knowledge-intensive crowdsourcing, solver behaviors, solver motivation, the influential factors, literature review, Business, HF5001-6182

الوصف: Solver participation plays a critical role in the sustained development of knowledge-intensive crowdsourcing (KI-C) systems. Extant theory has highlighted numerous factors that influence solvers’ participation behaviors in KI-C. However, a structured investigation and integration of significant influential factors is still lacking. This study consolidated the state of academic research on factors that affect solver behaviors in KI-C. Based on a systematic review of the literature published from 2006 to 2021, this study identified five major solver behaviors in KI-C. Subsequently, eight solver motives and seventeen factors under four categories, i.e., task attributes, solver characteristics, requester behaviors, and platform designs, were identified to affect each of the solver behaviors. Moreover, the roles of solver motives and the identified factors in affecting solver behaviors were demonstrated as well. We also suggested a number of areas meriting future research in this study.

وصف الملف: electronic resource

العلاقة: https://www.mdpi.com/0718-1876/17/4/66Test; https://doaj.org/toc/0718-1876Test

الوصول الحر: https://doaj.org/article/b232c241ab5040788ab28447b6c72450Test

المؤلفون: Bo Liao, Zelin Wang, Jing He, Jiaxing Wu, Jiafu Su

المصدر: Frontiers in Environmental Science, Vol 11 (2023)

مصطلحات موضوعية: human settlement construction, ecological environment, driving mechanism model, correlation analysis, regression analysis, Environmental sciences, GE1-350

الوصف: The Chinese urbanization process is undergoing rapid development and intensification. There is, however, little awareness of spatial development in rural areas, particularly in watersheds that are relatively backward. Consequently, human settlements have been disrupted and environmental damage has been caused. The upper reaches of the Minjiang River are not yet aware of the limited space resources and environmental elements due to topography, climate, and other factors, resulting in an unbalanced development. Human settlements and ecological environments are examined in this paper in light of the adaptive development strategy of the upper reaches of the Minjiang River watershed. This paper establishes a “habitat-ecology” variable system for the purpose of adaptability research. The study identified 35 explanatory variables, including 17 in the category of human settlements and 18 in the category of ecological environment. A total of 12 relevant research sample areas have been selected, including five target sample areas and seven comparison sample areas. As a result of differential analysis and correlation research, explanatory variables with high significance were identified as characteristic variables. In addition, a driving mechanism between human settlement and ecological environment is determined using correlation analysis results, optimal subset equations, and independent effects of variables. The results show that in the “habitat-ecology” driving mechanism model: (1) In terms of human settlement, factors such as population density, proportion of construction land, and service scope of medical facilities are the most prominent; (2) In terms of ecological environment, factors such as regional proportion, per capita water area, net flow, and grassland coverage are the most prominent; (3) Based on the element configuration of the above two research subjects, the driving mechanism with human settlement as the driving force and ecological environment as the carrying capacity is obtained.

وصف الملف: electronic resource

العلاقة: https://www.frontiersin.org/articles/10.3389/fenvs.2023.1097801/fullTest; https://doaj.org/toc/2296-665XTest

الوصول الحر: https://doaj.org/article/c0ad9209634b4729bd74999f506b77c9Test

المؤلفون: Baodong Li, Jiafu Su, Boqiao Yuan, Lvcheng Li, Yihuan Zhao, Zhidan Qin, Li Qian

المصدر: Axioms, Vol 12, Iss 11, p 1006 (2023)

مصطلحات موضوعية: complex product development, supplier selection, hesitant fuzzy information, ·bidirectional projection, closeness degree, Mathematics, QA1-939

الوصف: During the development process of complex products, selecting the best desirable alternative supplier is a challenge since an improperly selected alternative may cause losing capacity and increasing the cycle time and cost of development for a company. For this multiple-attribute decision-making problem of supplier selection, in this paper, a supplier selection problem in which the decision data are hesitant fuzzy information and the attribute weight is unknown in complex product development is investigated, and a supplier selection decision-making approach based on hesitant fuzzy information is proposed. Firstly, a bidirectional projection based on hesitant fuzzy information is established, and then the measurement equation for the degree of closeness is improved. Further, an attribute weight determination model which minimizes the projection total deviation for the hesitant fuzzy elements is constructed. By solving this model, scientific and reasonable attribute weights are provided. Subsequently, an illustrative example is employed to not only give the ranking result of alternative suppliers but also demonstrate the validity and feasibility of the developed approach. Meanwhile, sensitivity analysis and comparative analysis are put forward to illustrate the stability of the given final ranking result and the advantages and reliability of the constructed method. For alternative or strategy selection, this proposed approach can be used as a decision-making means when uncertainties are inherent.

وصف الملف: electronic resource

العلاقة: https://www.mdpi.com/2075-1680/12/11/1006Test; https://doaj.org/toc/2075-1680Test

الوصول الحر: https://doaj.org/article/e74c958cda524f75ba4d3bb01cb644ceTest

المؤلفون: Zhanyang Luo, Yumei Xue, Jiafu Su

المصدر: Systems, Vol 11, Iss 9, p 472 (2023)

مصطلحات موضوعية: complex public opinion environment, information risk propagation, probabilistic hesitant fuzzy sets, CoCoSo method, GRA-DEMATEL method, Systems engineering, TA168, Technology (General), T1-995

الوصف: The propagation of information risk in complex public opinion environments not only leads to severe direct reputational losses for companies but also results in significant economic damages. Therefore, during the nascent stage of information risk, identifying potential propagation pathways, determining key dissemination channels, and taking timely measures become crucial. To address this issue, this paper proposes a multi-criteria decision-making method for evaluating information risk propagation in complex public opinion environments. In this method, this paper utilizes probabilistic hesitant fuzzy sets to express the evaluation information, and provide several distance and similarity measurement methods for probabilistic hesitant fuzzy elements. To ensure the rationality of the evaluation indicator weights, this study first applies these distance measurement methods to improve the Grey Relational Analysis—Decision Making Trial and Evaluation Laboratory (GRA-DEMATEL) method for determining the objective weights of evaluation indicators. Next, this paper uses the Delphi method to establish the subjective weights of each evaluation indicator. Finally, by employing a weight synthesis operator, this paper combines the subjective and objective weights to obtain the final indicator weights. Additionally, this paper utilizes the similarity measurement methods for probabilistic hesitant fuzzy elements to improve the combined compromise solution (CoCoSo) method in evaluating and ranking potential information risk propagation pathways. Furthermore, this paper incorporates the “Probability Splitting Algorithm” to handle probabilistic hesitant fuzzy elements, enabling their application in these methodologies. Finally, based on a case study of information risk propagation in the catering industry, we conducted a sensitivity analysis and effectiveness verification of the proposed approach. The results demonstrate the effectiveness of the method and its ability to address real-world issues.

وصف الملف: electronic resource

العلاقة: https://www.mdpi.com/2079-8954/11/9/472Test; https://doaj.org/toc/2079-8954Test

الوصول الحر: https://doaj.org/article/f12063f95a9649b8bfec1272c20c014fTest

المؤلفون: Jing He, Yunyan Li, Jiafu Su, Bo Liao

المصدر: Frontiers in Ecology and Evolution, Vol 10 (2023)

مصطلحات موضوعية: ecosystem health, water cycle health, urban water health assessment, RAGA-PP, conceptual framework, Evolution, QH359-425, Ecology, QH540-549.5

الوصف: The quantitative evaluation of urban water health (UWH) is a crucial decision-making process in water management. Healthy water not only encompasses excellent water quality and a diverse ecology but also has other characteristics, such as the amount of water resources, supply-use-drainage problems, flooding, water cycle, and so on. This study proposes a theoretical framework and an indicator system for UWH that integrates ecosystem health and water cycle health. Subsequently, considering the time scale and regional characteristics, an objective evaluation model that combined the real coding accelerated genetic algorithm (RAGA) method and the projection pursuit (PP) method was applied to calculate indicator weights and thresholds for the urban water health index (UWHI). UWHI standard thresholds were calculated as (0.04, 0.87], (0.87, 1.80], (1.80, 2.73], (2.73, 3.50], and (3.50, 4.01] corresponding to the categories of Sick, Unhealthy, Subhealthy, Healthy, and Excellent, respectively. Using Chongqing as a case study, the results showed that the UWHI increased from 1.796 to 2.668 in 2011–2020, and the health level improved from Unhealthy to Subhealthy, approaching Healthy. For each subsystem, the results indicated that the health status of the water cycle was superior to that of the water ecosystem. Finally, a detailed analysis of the changes in the indicators identified important factors affecting water health. The results of this study revealed that the main weaknesses in Chongqing were severe soil erosion, large domestic water use, high water consumption rates, and unsatisfactory water functional areas and indicated key priorities on the path to future water management.

وصف الملف: electronic resource

العلاقة: https://www.frontiersin.org/articles/10.3389/fevo.2022.1081555/fullTest; https://doaj.org/toc/2296-701XTest

الوصول الحر: https://doaj.org/article/e80cf03f23584fef978177e4cc9836a9Test