Supplier Relationship Management System Research Articles

Predicting the supplier relationship management system’s magnificence and investigating its effect on corporate shareholder value via the mediating role of marketing brand strength: A SEM-ANN hypered approach

Purpose—In the business sector, reliable and timely data are crucial for business management to formulate a company’s strategy and enhance supply chain efficiency. The main goal of this study is to examine how strong brand strength affects shareholder value with a new Supplier Relationship Management System (SRMS) and to find the specific system qualities that are linked to SRMS adoption. This leads to higher brand strength and stronger shareholder value. Design/Methodology/Approach—This study employed a cross-sectional design with an explanatory survey as a deductive technique to form hypotheses. The primary method of data collection used a drop-off questionnaire that was self-administered to the UAE-based healthcare suppliers. Of the 787 questionnaires sent to the healthcare suppliers, 602 were usable, yielding a response rate of 76.5%. To analyze the data gathered, the study used Partial Least Squares Structural Equation modelling (PLS-SEM) and artificial neural network (ANN) techniques. Findings—The study’s data proved that SRMS adoption and brand strength positively affected and improved healthcare suppliers’ shareholder value. Additionally, it demonstrates that user satisfaction is the most significant predictor of SRMS adoption, while the results show that the mediating role of brand strength is the most significant predictor of shareholder value. The results demonstrated that internally derived constructs were better explained by the ANN technique than by the PLS-SEM approach. Originality/Value—This study demonstrates its practical value by offering decision-makers in the healthcare supplier industry a reference on what to avoid and what elements to take into account when creating plans and implementing strategies and policies.

Взаимоотношения торговой организации с поставщиками: как добиться конкурентного преимущества

The article presents the author’s vision of supplier relationship management in the logistics system of a trade organization to ensure competitive advantages. Supplier selection is an actual and important stage in the implementation of procurement management functions. Effective management of this aspect of activity contributes to the establishment of ways of interaction with companies that provide logistics to the organization. Finding suitable suppliers and establishing long-term relationships with them can help companies provide customers with quality products and services at competitive prices and without interruption. The “right” suppliers will reduce the risks associated with instability in the supply chain. The authors have given a new interpretation of the term “Supplier relationship Management”. Supplier relationship management is decision-making to improve the ways of interaction in the procurement process between counterparties of trade and logistics activities. At the same time, the authors consider the effectiveness of interaction with suppliers in the procurement process as an internal competitive advantage. In addition, the authors identified the connection, commonality and difference between the concepts of “value chain” and “supply chain”. The work analyzed the stages of the procurement process, identified problems in the organization of procurement management. The results of the study and the proposed recommendations can serve as a basis for improving the organization and management of logistics, procurement activities of a trade organization to ensure competitive advantages. New parameters for determining the order of purchases, criteria for evaluating the supplier, and effective work on his choice will reduce costs, save on reducing the number of defects, etc. Research results: criteria have been developed according to which it is necessary to take into account: price, supply discipline, quality, payment terms, territorial remoteness, cooperation experience, satisfaction of complaints, order execution time; the algorithm of interaction between supplier and consumer in the supplier relationship management system is presented; new parameters for determining the procurement procedure and supplier evaluation criteria are defined.

Effect of Supplier Relationship Management on Organizational Performance: A Case Study of the Plastic Manufacturing Industry in Harare Between 2015-2019

Supplier relationship management (SRM) is the overall coordination, collaboration and information sharing between an organization and its suppliers. The study focused on the effect of supplier relationship management on organizational performance for firms in the plastic manufacturing industry in Harare. This research adopted an interpretivism philosophy and data was collected using open-ended questionnaires and telephonic interviews. The population was derived from plastic manufacturing companies operating in Harare. A purposive sampling technique was used to select twenty participants. The study findings revealed that organizations in the plastic industry enjoyed several supplier relationship management benefits that included information sharing and involvement of suppliers in new product development as these contributed positively to their overall organizational performance. However, firms in the plastic manufacturing industry also encountered supplier relationship management challenges that affected their organization’s performance. Challenges such as organizations failing to meet their obligations to the buyer–supplier relationship resulting in negative reactions by suppliers. Supplier relationship management implementation was also constrained by challenges that included the unavailability of supplier relationship management (SRM) team and lack of resources to support the SRM system. It was however noted that organizations in the plastic of supplier relationship management to the organizational performance. These strategies included open communication with suppliers for the purposes of sharing critical information, the involvement of suppliers in the new product manufacturing industry implemented SRM strategies that ensured the positive contribution development and supplier certification as a pre-requisite to supplier engagement. The study, therefore, recommends that organizations in the plastic manufacturing industry continue to develop and maintain clear lines of communication with their suppliers. These would enable suppliers to share information that is critical in their strategic decision-making process. Further recommendations were also made to the effect that organizations in the plastic manufacturing industry should always endeavor to honor their obligation to the buyer-supplier relationship.

국가 공공조달을 위한 조달업체 평가관리 시스템에 대한 연구

As e-Commerce and national public procurement have been enabled, needs of supplier management and evaluation system for national public procurement has been growing. Enterprises have constructed and operated supplier relationship management system, in order to automate and increase their supply chain processes by managing the strategic assessment of relationships with external partners. Recently, PPS(Public Procurement Service) in Korea is introducing the concept of SRM to ensure the fairness of public procurement and to strengthen the competitiveness of the national public procurement and public procurement. For this purpose, it is necessary to establish supplier evaluation management and decision support process to allow a transparent supplier selection. In this paper, we present an evaluation method for transparent and objective public procurement. We also present a method for purchase decision support.

An integrative framework for supplier relationship management

Purpose – There have been many studies on topics related to supplier relationship management (SRM), namely purchasing strategy, supplier selection and development, and collaboration with suppliers. However, these studies have not suggested a solution based on an integrative concept, as they focus only on domain‐specific problems. To overcome this limitation, the purpose of this present paper is to suggest a framework for an integrative SRM system by analyzing comprehensive approaches to overall SRM functions. Design/methodology/approach – The paper reviewed and analyzed studies related to SRM from an integrative viewpoint, proposed a framework for an integrative SRM system, and performed a case study based on the analytical hierarchy process with a field survey. Findings – The paper expects that the proposed framework can play a major role in enhancing the efficiency and effectiveness of SRM by adopting an integrative concept because the functions of SRM are highly interrelated. Furthermore, it verifies the applicability of the framework via a case study. Research limitations/implications – Not many approaches are available for organizing evaluators or evaluation sheets, which are used for selecting criteria, providing weight, and evaluating supplier performance, that can secure objectivity of the evaluation; thus, when applying this framework to the industry, special consideration is needed. Practical implications – The proposed framework allows the purchasing members to scrutinize key features of SRM before and during the SRM system operation. Originality/value – The paper provides useful knowledge about the role of SRM systems by holistically approaching SRM‐related processes while suggesting criteria and recommendations to a purchasing manager.

Design of an intelligent supplier relationship management system for new product development

Since the 1990s, the business environment has changed greatly because of global integration and the lifecycles of products are becoming shorter. The drive to continually cut costs and focus on core competencies has driven many to outsource some or all of their production. It is found that the integration of customer relationship management (CRM) and supplier relationship management (SRM), to facilitate supply chain management in the areas of supplier selection using an artificial intelligence approach, has become a promising solution for manufacturers to identify appropriate suppliers and trading partners to form a supply network on which they depend for products, services and distribution. In this paper, an intelligent supplier relationship management system (ISRMS) using hybrid case based reasoning (CBR) and artificial neural networks (ANNs) techniques to select and benchmark potential suppliers is discussed. By using ISRMS in Honeywell Consumer Product (Hong Kong) Limited, the outsource cycle time from searching for potential suppliers to the allocation of order during new product development is greatly reduced.

Development of a case based intelligent supplier relationship management system – linking supplier rating system and product coding system

An intelligent supplier relationship management system (ISRMS) integrating a company’s customer relationship management (CRM) system, supplier rating system (SRS) and product coding system (PCS) by the case based reasoning (CBR) technique to select preferred suppliers during the new product development (NPD) process is discussed. By using ISRMS in Honeywell Consumer Product (Hong Kong) Limited, it is found that the outsource cycle time from the searching of potential suppliers to the allocation of order, as well as the delay in delivery of goods of suppliers after order allocation, are greatly reduced. In addition, performance of suppliers can be monitored effectively.

An enterprise collaborative management system: a case study of supplier selection in new product development

Businesses that remain competitive must not only look into their internal operations, but also communicate and work concurrently with all players in their supply chain network. In this paper, the supplier relationship management module of a server-based enterprise collaborative management system (ECMS) using enterprise application integration (EAI) technology for trial implementation at Honeywell Consumer Products (Hong Kong) Limited, is discussed. A case study using ECMS's supplier relationship management system (ISRMS) to integrate Honeywell's supplier rating system (SRS) and product coding system (PCS) via the case-based reasoning (CBR) technique, to select preferred suppliers during the new product development (NPD) process, is also reported here. It is found that the outsource cycle time, from the searching of potential suppliers to the allocation of orders, is greatly reduced. Through the ISRMS of ECMS, manufacturers identify preferred suppliers to form a supply network on which they depend for products, services and distribution effectively.

Design of a case based intelligent supplier relationship management system—the integration of supplier rating system and product coding system

The design of supplier relationship management to facilitate supplier selection using an integrative case based supplier selection and help desk approach to select the most appropriate suppliers together with their past performance records from a case base warehouse has become a promising solution for manufacturers to identify preferred suppliers and trading partners to form a supply network on which they depend for products, services and distribution. In this paper, an intelligent supplier relationship management system (ISRMS) integrating a company's customer relationship management system, supplier rating system and product coding system by the case based reasoning technique to select preferred suppliers during new product development process is discussed. By using ISRMS in Honeywell Consumer Product (Hong Kong) Limited, it is found that the outsource cycle time from the searching of potential suppliers to the allocation of order, as well as the delay in delivery of goods of suppliers after order allocation, are greatly reduced. In addition, performance of suppliers can be monitored effectively.

An intelligent supplier relationship management system for selecting and benchmarking suppliers

In today's accelerating world economy, the drive to cut costs continually and focus on core competencies has driven many to outsource some or all of their production. In this environment, improving supply chain execution and leveraging the supply base through effective supplier relationship management has become more critical than ever in achieving competitive advantage. It is found that the integration of customer relationship management (CRM) and supplier relationship management (SRM) to facilitate supply chain management in the areas of supplier selection using an artificial intelligence approach has become a promising solution for manufacturers to identify appropriate suppliers and trading partners to form a supply network on which they depend for products, services and distribution. In this paper, an intelligent supplier relationship management system (ISRMS) using hybrid case based reasoning (CBR) and artificial neural networks (ANNs) techniques to select and benchmark potential supplier is discussed. By using ISRMS in Honeywell Consumer Product (Hong Kong) Limited, the outsource cycle time from searching for potential suppliers to the allocation of order is greatly reduced.

Design of an intelligent supplier relationship management system: a hybrid case based neural network approach

Abstract In today's accelerating world economy, the drive to continually cut costs and focus on core competencies has driven many to outsource some or all of their production. In this environment, improving supply chain execution and leveraging the supply base through effective supplier relationship management (SRM) has become more critical than ever in achieving competitive advantage. It was found that the use of artificial intelligence in the outsourcing function of SRM to identify appropriate suppliers to form a supply network has become a promising solution on which manufacturers depend for products, services and distribution. In this paper, an intelligent supplier relationship management system (ISRMS) using hybrid case based reasoning (CBR) and artificial neural networks (ANNs) techniques to select and benchmark potential suppliers is discussed. By using ISRMS in Honeywell Consumer Product (Hong Kong) Limited, the outsource cycle time from searching for potential suppliers to the allocation of order is greatly reduced.

Development of a case based intelligent customer–supplier relationship management system

The integration of customer relationship management (CRM) and supplier relationship management (SRM) to facilitate supply chain management in the areas of supplier selection using a help desk approach has become a promising solution for manufacturers to identify appropriate suppliers and trading partners to form a supply network on which they depend for products, services, and distribution. In this paper, an intelligent customer–supplier relationship management system (ISRMS) using the case based reasoning (CBR) technique to select potential suppliers is discussed. By using ISRMS in Honeywell Consumer Product (Hong Kong) Limited, it is found that the outsource cycle time from the searching of potential suppliers to the allocation of order is greatly reduced.