Supplier Relationships Research Articles

基于水量与水质的太湖流域水生态服务供需关系及多情景评估

PDF HTML阅读 XML下载 导出引用 引用提醒 基于水量与水质的太湖流域水生态服务供需关系及多情景评估 DOI: 10.5846/stxb202112223632 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 国家自然科学基金项目（41971230）；中国科学院"美丽中国生态文明建设科技工程"专项（XDA23020201）；国家自然科学基金青年项目（41701211） Supply and demand relationship and multi-scenario assessment of water ecological services related water quantity and quality in Taihu Lake Basin Author: Affiliation: Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:耦合水量供给与水质净化的水生态服务供需关系的多尺度空间量化评估，有助于刻画和识别丰水区水质性缺水问题，并丰富水生态服务研究。在构建水量供给和水质净化服务供需评估方法的基础上，利用空间分析方法在现状情景基础上分别设置提升用水效率、改善土地管理方式和优化土地利用空间配置三种优化情景，并在栅格、子流域和县域三个尺度上开展基于水量供给和水质净化的水生态服务供需关系的定量评估，分别探讨了不同情景不同尺度下的水生态服务供需变化、空间响应及其机制特征。研究结果表明：（1）太湖流域的水量供需状况显著优于水质供需状况，节水能够有效改善流域内的水量赤字，而减量施肥和优化土地利用配置能够显著改善流域内的水质赤字。（2）多尺度的水量供给与水质净化服务供需解析，有助于精准识别不同尺度下亟需治理的关键区域。（3）水量赤字区主要集中在建设用地分布区域，耕地仍是引致水质赤字的主要原因，但随着尺度的逐渐增大，水质赤字区的建设用地面积也在不断增加。（4）优化土地利用结构方案是解决水质性缺水的最有效方法，但需要突破现有政策尤其是耕地保护政策的刚性约束，故耦合提升用水效率等方法是当前治理太湖流域"水质性缺水"问题首选措施。 Abstract:It is essential to conduct supply and demand assessment of water ecological services across multiple spatial scales by integrating water quantity and quality for identifying water shortage issues caused by water pollution in humid regions. This study developed a comprehensive model that integrated water quantity and quality for quantifying the supply-demand relationships of water ecological services for the Taihu Lake Basin (TLB). This study also constructed three optimized scenarios (Water Efficiency Improvement, Fertilization Reduction, and Land Use Structure Optimization) to explore the spatial variations and key driving factors of water resources supply and demand on the grid, sub-basin, and county levels. We got the following conclusions:(1) The TLB was sufficient in water quantity, but it was deficient in water quality. Water efficiency improvement significantly reduced the demand for water resources in the TLB. Fertilization reduction and land use optimization greatly improved water quality. (2) The supply and demand assessment of water ecological services across the three spatial scales could help in identifying key areas for promoting sustainable water use in the TLB. (3) Urban land was primarily located in the regions with deficient water quantity. In comparison, croplands dominated the regions with deficient water quality, while these regions of deficient water quality were also comprised of large areas of urban land when assessed at the county level. (4) Land use optimization such as grain for green and riparian conservation was the most effective in improving water quality for the TLB, but it was at the huge cost of cropland losses. Therefore, coupling other optimization ways such as water efficiency improvement that would be the best measurement for solving pollution-caused water shortage issues in the TLB. 参考文献 相似文献 引证文献

Safeguarding Proprietary Information in the Supply Chain and Relationship Specific Investments

Safeguarding Proprietary Information in the Supply Chain and Relationship Specific Investments

Supplier Relationship Strategies and Performance of Dairy Cooperative Societies in Kenya

Supplier Relationship Strategies and Performance of Dairy Cooperative Societies in Kenya

Revolutionizing Management Information Systems with Natural Language Processing for Digital Transformation

Natural Language Processing (NLP) is a rapidly growing field with immense potential to transform Management Information Systems (MIS) and drive digital transformation in businesses. To explore the possible applications of NLP for MIS, we first investigated current state-of-the-art research by examining the top-tier journals in the field. Our analysis revealed that while there has been some research exploring the benefits of NLP for MIS, the full potential of this powerful technology has not yet been fully realized in the literature. Therefore, this study aims to fill this gap by discussing the potential applications of NLP for MIS. We cover several scenarios, including boosting marketing campaigns, enhancing supplier relationship management, detecting misinformation, using competitive analysis to gain insights, identifying related contextual terms, and enhancing BI systems. The main goal of presenting various scenarios is to demonstrate the vast potential of NLP in transforming MIS and supporting digital transformation. Through this exploration of various scenarios, we hope to inspire researchers and practitioners to further explore the potential of NLP for MIS applications and unlock new possibilities for enhancing business operations, decision-making, and strategy development in the context of digital transformation.

Contribution of supply chain quality management on operations performance of manufacturing companies in Vietnam

An organization's ability to operate efficiently and effectively in a competitive environment is heavily reliant on the operations performance. Therefore, the important objective from companies is enhancing and optimizing the operations with several procedures. Within the context of manufacturing industry, supply chain quality should be considered as an effective strategy to achieve the success. This article examines how organizational operations performance can be impacted by supply chain quality strategy It is first suggested a conceptual framework to characterize these connections, after which a regression model is used to examine them. Data are gathered through surveys of Vietnam manufacturing companies in order to test this model. The following are several of our key empirical findings: employee training provides the largest impact, supplier relationship creates a considerable effect and process management is the smallest-impacted determinant

Проєктування логістичних систем з міжнародними аутсорсинговими компаніями в комерційній логістиці

Designing logistics systems in commercial logistics is the process of developing and creating a set of logistics procedures, infrastructure, processes and strategies aimed at optimizing the movement of goods and services from suppliers to end customers. This process includes the development of strategies for managing the international supply chain, warehousing, transportation, supplier relationship management and other logistics aspects of commercial activities. The purpose of the article is to provide a theoretical substantiation of the process of designing logistics systems and directions for improving the efficiency of international logistics systems through the use of outsourcing companies in commercial logistics. The article considers and defines the conceptual apparatus for designing logistics systems with regard to cooperation with outsourcing companies in international commercial logistics. The article generalizes stages of designing the organizational structure of management of the process of interaction "logistics system - outsourcing company", identifies goals and tasks of each stage of designing a logistics system. The article offers an algorithm of actions on designing an organizational system of management of the process of interaction "logistic system - outsourcing company" in commercial logistics. The conducted research and the presented results allow managers to design a logistics system taking into account the interaction with international outsourcing companies that can perform logistics operations more efficiently and more economically, taking into account the peculiarities of commercial logistics in international supply chains.

ICT practices and organisational performance in public food supply chain: the mediating role of supplier relationship and logistics integration

ICT practices and organisational performance in public food supply chain: the mediating role of supplier relationship and logistics integration

Effect of Supplier Relationship Management on the Relationship between Electronic Data Interchange Integration and Supply Chain Performance in Sugar Manufacturing Firms in Kenya

Globally and in Kenya to be specific, there has been a challenge on cost of manufacturing. Manufacturing cost has been rising for; a status report from the Sugar Directorate indicates that wholesale price of sugar in February 2017 was at average Sh 5, 352 per 50 kg, compared with Sh 4, 432 in the same period last year. In Kenya, sugar cane production decreased from 6.7 million tons in 2013 to 6.5 million tons in 2014 as reported in Economic Survey of 2014. Moreover, despite reporting increased cane delivery in 2015, supply chain in sugar firms remained dismal indicating inefficient firm processes and overall poor performance due to high cost of production. Its argued that supply chain(SC)s may use Electronic data interchange integration(EDII) to mitigate on cost and improve firm performance.SRM is management of all interactions with suppliers, while SCP performance means responsiveness, timeliness and reliability However; studies have not addressed this adequately. The purpose of this study was to determine the effect of supplier relationship management on the relationship between electronic data interchange integration and supply chain performance among sugar firms in western Kenya, the study established effect of electronic data interchange integration on supply chain performance; effect of supplier relationship management on supply chain performance; and effect of supplier relationship management on the relationship between electronic data interchange integration and supply chain performance. This study was anchored on resource based, transaction cost analysis, and social exchange theories. Correlation research design was used. Target population was 300 supply chain employees from 10 sugar manufacturing firms in western Kenya. A sample of 169 was drawn using cluster, purposive and simple random sampling. 10% of the sample was used to pre-test the questionnaire. Questionnaire and interview guides were used to collect primary data. Secondary data was obtained from Company’s’ records. The study concluded that EDI, SRM have significant effects on SCP and that SRM has moderating effect on the relationship between EDI and SCP. The study recommends that adopted EDII in SCP should be implemented consistently for improved performance and because SRM has a significant relationship between EDII and SCP it should been enhanced for increased performance. Findings may provide useful information for policy formulation for faster decision making in enhancing increased customer service level in the sugar firms and availability of research literature for further research

Enhancing sustainability and performance of automated air conditioners through optimizing product recovery in closed-loop supply chains

This article investigates the use of closed-loop supply chains (CLSC) to im?prove the sustainability and performance of automatic air conditioning systems. With the growing use of automated air conditioning systems in automobiles, it is necessary to analyze and optimize their efficiency even after their life span. To reliably anticipate the performance of automatic air conditioning systems, the suggested method employs a unique soft computing technology based on support vector machines (SVM). Furthermore, the research focuses on the deployment of CLSC, which allows for optimal product recovery and resource utilization. To optimize the multi-product, multi-time, multi-echelon network, a generalized CLSC model is built, considering costs, product recovery possibilities, unknown parameters, and environmental performance. The study sheds light on reverse logistics decision-making, such as centre placement and allocation, as well as cultivation of supplier relationships. Overall, this study?s incorporation of CLSC and the SVM-based performance prediction approach supports sustainable manufacturing practices. It emphasizes the significance of resource efficiency, waste minimization, and environmental effect mitigation in air conditioning system design, manufacture, and operation. Manufacturers may increase not just their environmental sustainability but also the performance and durability of their air conditioning systems by optimizing product recovery and utilizing CLSC. This study provides industry stakeholders with practical information, supporting the adoption of sustainable practices and contributing to a more sustainable and efficient manufacturing ecosystem.

Business analytics in the case of inventory management in Industry 4.0 conditions

Purpose: The purpose of this publication is to present the applications of usage of business analytics in inventory management. Design/methodology/approach: Critical literature analysis. Analysis of international literature from main databases and polish literature and legal acts connecting with researched topic. Findings: Industry 4.0 has ushered in a transformative era of technological innovation, particularly in inventory management. Business Analytics has emerged as a crucial tool for optimizing inventory control and supply chain management in this context. This integration of digital technologies, the Internet of Things, artificial intelligence, and big data has made inventory management more complex yet highly efficient. Business Analytics, driven by machine learning and predictive analytics, empowers organizations to make data-driven decisions, improve demand forecasting, and enhance supplier relationships, resulting in cost reduction, increased customer satisfaction, and sustainability efforts. Industry 4.0 has also introduced various software solutions that streamline inventory management, albeit with challenges. Overcoming these challenges, businesses leverage the advantages to adapt to a dynamic market, reduce costs, and enhance sustainability, solidifying the critical role of Business Analytics in inventory management in an evolving landscape. Keywords: business analytics, Industry 4.0, digitalization, artificial intelligence, real-time monitoring; inventory management. Category of the paper: literature review.

Supply Chain Management Processes and Performance of Broadband Systems Corporation Ltd, Rwanda

The competitive nature of the contemporary business environment has continued to exert pressure on firms to enhance service delivery to customers. This has changed the focus of attention to business entities offering valuable goods and services when compared to potential competitors. Just as the emphasis is placed on the customer, the business operating environment is raging and multifaceted. The research used descriptive research design. The target population was 127 employees of different departments that are sensible to supply chain management processes and 10 chief officers of Broadband Systems Corporation. The researcher adopted probability-stratified, random and purposive sampling technics. The data collected was analyzed using SPSS program 21.0 version was used for data analysis. Descriptive statistics with the mean, standard deviation, and Pearson’s correlation coefficient were utilised and inferential statistics with regression analysis were applied for data interpretation. Findings revealed that customer relationship management is very highly correlated with organisational performance with Pearson’s correlation value=0.951, P_value =0.000<0.05, whereas supplier relationship management is positively correlated to organization performance as revealed by analysis 0.951, P_value=0.000<0.05. These statistical figures were supported by top managers in answers to interview who affirmed that the supply chain management process has a positive influence on performance of Broadband Systems Corporation Ltd. Thus, the researcher concluded that the supply chain management process influences the performance of Broadband Systems Corporation Ltd. The researcher recommended that managers should take a serious attention to the relationship among supply chain management processes and performance improvement in Broadband Systems Corporation Ltd by establishing the practice at company, department and staff levels with correct matrix of processes that would lead to improved performance as the combined effect is greater than one process. In order to make supply chain management processes of the company efficiently and effective, BSC Ltd should develop strong strategic supplier-customer partnership by focusing on key and important suppliers or customer segments.

A case and framework for expanding the use of model‐free evidence

A case and framework for expanding the use of model‐free evidence

Supplier relationship management process assessment in food supply chains: an empirical study in coffee supply chains from Peru

Supplier relationship management process assessment in food supply chains: an empirical study in coffee supply chains from Peru

The effects of supplier relationship management practices on organizational performance and competitive advantage of large manufacturing companies in Bahir Dar, Ethiopia

The purpose of the study is to examine the effects of supplier relationship management practices on organizational performance and competitive advantage of large manufacturing companies in Bahir Dar, Ethiopia. The study employed an explanatory research design. A standardized five-point Likert scale questionnaire was administered to manufacturing companies' executives, top managers, and procurement managers. Structural equation modeling with the help of analysis of moment structure 23 is used to analyze the relationship between variables. The result reveals that supplier relationship management practices lead to enhancing organizational performance and competitive advantage. Also, competitive advantage significantly affects the performance of manufacturing companies. The study is limited by the effects of supplier relationship management practices on organization performance and competitive advantage over a quantitative research approach. Further, it only focused on large manufacturing companies in Bahir Dar, Ethiopia. The study contributes evidence on the effects of supplier relationship management practices on organization performance and competitive advantage. Moreover, it helps the supply chain managers in large manufacturing companies to have a deeper understanding of supplier relationship management and its importance to organizational performance and competitive advantage.

Developing the application model for the Kraljic's purchasing portfolio

Portfolio models are popular in purchasing and supply management to optimise strategies for supplier relationship management. Portfolio models, such as Kraljic's purchasing portfolio, are based on subjective judgements and are qualitative in their nature. Portfolio models have been criticised because they lack guidelines on how the models could be applied in practice. The key to the application is the definition of appropriate key attributes that can be used for measuring and defining the dimensions. In this study, the factors which influence the supply risk and profit impact are studied by deriving the appropriate attributes from the empirical data of a multinational electrical manufacturer. This study contributes by identifying the key attributes for the dimensions of profit impact and supply risk and by scaling these with numerical values for the purposes of Kraljic's matrix. As a result, this study provides a practical model, explaining how companies can apply Kraljic's matrix.

Bitcoin and money supply relationship: An analysis of selected country economies

<abstract> <p>Bitcoin has become quite known after the 2008 economic crisis and the COVID-19 health crisis. For some, these cryptocurrencies constitute rebellion against the existing system as governments encourage uncontrolled expansions in the money supply; for some others, it is a quick source of income. Undeniably, the volume of the crypto money market has grown considerably in recent years, regardless of the reasoning of the people who invest and trade in this field. At this point, one of the most important questions to be investigated is "what variables have caused the tremendous growth in the crypto money quantities in recent years?" This study tests the assumption that changes in cryptocurrencies are affected by changes in national currencies. Thus, the Bitcoin price is the dependent variable, and M1 monetary supply changes in the USA, European Union and Japanese economies are considered independent variables. The variables in this study were tested using the time-varying Granger causality method. The results obtained from this study confirm the philosophy of Bitcoin's emergence and the possibility that it can be a hedge against the inflationary effects of money, especially after the COVID-19 pandemic.</p> </abstract>

Factors Mediating and Moderating the Relationships Between Green Practice and Environmental Performance: Buyer–Supplier Relation and Institutional Context

Drawing on social exchange theory and institutional theory, this article extends the literature on sustainable operations by examining the mediating and moderating effects of buyer–supplier relation and institutional context on the relationships among internal green practice, external green practice, and environmental performance. This article analyzes data from 440 firms in three categories of market (the institutional context): industrialized Western, emerging Western, and emerging Asian markets. Both internal green practice and external green practice have positive direct impacts on firms’ environmental performance. More specifically and interestingly, external green practice partially mediates the relationship between internal green practice and environmental performance, and this process is moderated by the quality of the buyer–supplier relation. A higher quality of buyer–supplier relation helps to achieve a better outcome. In addition, the examined relationships vary between the emerging market and developed market: that is, they depend on the institutional context. The findings have implications for both practitioners and policymakers on how to improve environmental performance through leveraging green practice and buyer–supplier relation and what policies on green supply chain management might best be used in different markets.

Smart Contracts for Efficient Supplier Relationship Management in the Blockchain

Smart contracts have become a game-changing tool for improving supplier relationship management (SRM) efficiency and transparency within the blockchain ecosystem. This study aims to understand better how intelligent contracts facilitate supplier-buyer communication, increase accountability, and streamline procurement procedures. The study's primary goals are to examine the advantages and difficulties of smart contracts in supply chain management (SRM), explore how they affect supply chain operations, and determine how these findings may affect industry standards and regulatory frameworks. A review methodology based on secondary data amalgamates extant literature and empirical research on smart contracts for supply chain management. Important discoveries show that smart contracts promote efficiency and cooperation in SRM by automating contract execution, improving transparency, and enabling trustless transactions. To fully utilize intelligent contracts in SRM, however, obstacles, including regulatory ambiguity, scalability constraints, and interoperability concerns, must be resolved. Implementing smart contracts in SRM will require clear regulatory frameworks, the development of standards and interoperability, and funding for research and teaching.

Streamlining Procurement Processes with SAP Ariba A Case Study

This case study explores the implementation of SAP Ariba to streamline procurement processes within an organization, highlighting the transformative impact of digital solutions on operational efficiency. As organizations increasingly seek to enhance their procurement strategies, the integration of SAP Ariba offers a robust framework for managing supplier relationships, optimizing sourcing, and ensuring compliance with regulatory standards. The study investigates the challenges faced by the organization prior to the adoption of SAP Ariba, including inefficiencies in manual processes, lack of visibility in supplier performance, and fragmented data management. Through the implementation of SAP Ariba, the organization experienced significant improvements in procurement cycle times, cost savings, and supplier collaboration. Key features of SAP Ariba, such as automated workflows, real-time analytics, and enhanced supplier onboarding, were pivotal in driving these improvements. This case study further evaluates the quantitative and qualitative benefits achieved post-implementation, including increased procurement accuracy, improved supplier engagement, and a strategic shift towards data-driven decision-making. The findings underscore the importance of leveraging advanced procurement solutions in today’s dynamic business environment, ultimately contributing to enhanced organizational agility and competitiveness. By examining the journey of this organization, the study provides valuable insights for other businesses considering similar digital transformations in their procurement processes.

Triangle Syariah Justice Ecosystem: Constructing Business Model of Pension Fund

The objective of this paper is to redesign the Indonesian pension fund's business model and management system, and develop new strategies to balance profits, affordability, and sustainability. The authors consider the Malaysian pension system and adapt the INTERDAP application used by PT. Angkasa Pura II. Through this qualitative case study, we apply the foundations of the Triangle Syariah Justice Ecosystem (TSJE) to digitize the pension system and support green investment in the long run by modeling the business strategy, facilitating the business model and supplier relationship management, and creating mutually beneficial management among stakeholders. The study found that Malaysia's pension system has an investment purpose, while that of Indonesia only provides pension loans based on previously agreed cumulative contributions. Malaysia encourages people across the country to save on severance funds, and the pension system is still managed conventionally. Malaysia requires a pension contribution of 23 percent of the employee's base salary, while Indonesia requires a meagre 3 percent. This affects the contribution of pension funds to Gross Domestic Product (GDP), with Malaysia's pension fund accounting for 60 percent of GDP but Indonesia’s accounting for only 6 percent. The authors also consider that to become a developed country, pension funds need to reach 60 percent of GDP by 2045, because 42 percent of the total supply of funds in the infrastructure sector originates from pension funds. The practical implications of this study are on access to information, security, and transparency in the management of pension funds through a digital system supervised by the Syariah Regulator, alongside the Indonesian government's efforts to realize support for the green economy.