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The main work in this paper covers a methodology, tools and implementation techniques for automation of supplier selection procedures as an e‐commerce application. The work could be divided into two main parts. First, the development of a modeling methodology which can be used for automation of supplier selection procedures. By this modeling methodology, supplier selection procedures are divided into pre‐selection, selection and the post‐selection procedures. The selection procedure is further divided into the following stages: bidder selection, partner selection, and performance evaluation. The second part is about realization of automation. Three modules for automation are identified; they are the data collection system for bidder selection stage, the inference engine for partner selection stage, and the performance evaluation engine for the performance evaluation stage.

Purchasing activities of a company form a very important part in the operation of the company. The quality of production and services mainly rely on the performance of the suppliers. In addition, a large amount of the product's total cost belongs to the purchasing cost of its materials. Therefore, selecting the most suitable suppliers is very important for the firm. Unfortunately, most of the time, suppliers cannot provide the highest quality parts on-time at the lowest costs in the market. In other words, quality, delivery and cost objectives conflict with each other. The purpose of this paper is to determine the best supplier for the firm according to these conflicting objectives.

In this study a fuzzy analytic hierarchy process (FAHP) approach is employed for the supplier selection problem of a textile company. First the selection criteria according to company's objectives are determined. Then the pair-wise comparisons are made on a fuzzy basis. Similarly, in the next step, the six alternative suppliers are compared by fuzzy means.

Finally, the two suppliers which achieved the highest performance are advised to the company and this study is the first one which employs FAHP using fuzzy prioritization method in supplier selection problem.

There are many different applications of FAHP in literature and some of these have found applications in supplier selection problem. However, to the best of the authors’ knowledge this study is the first one which employs FAHP using fuzzy prioritization method in supplier selection problem.

The principal research objective entails examining the nexus between green supplier selection and green performance while scrutinizing the moderating role of governance mechanisms, specifically process control and outcome control, in shaping this association.

To assess our hypotheses, this study obtained data from Chinese manufacturing sectors and utilized regression analysis on a dataset consisting of 295 samples.

This study enriches the sustainable supply chain management literature by emphasizing the influence of green supplier selection on a firm’s green performance and the moderating effects of outcome and process control, offering practical insights for industry professionals.

This study enriches the sustainable supply chain management literature by emphasizing the influence of supplier selection on a firm’s environmental performance and the moderating effects of outcome and process control, offering practical insights for industry professionals.

There is sufficient literature on green knowledge regarding supplier selections. Notwithstanding, there are hardly any empirical studies that analyze green knowledge toward supplier selection through the lenses of green intellectual capital (GIC). This paper aims to analyze green knowledge development toward supplier selection through the lenses of GIC.

This study uses an exploratory case study approach involving seven public universities in Ghana. A purposive sampling technique was used in selecting respondents who were interviewed through face-to-face and focus group discussions with a semistructured interview guide. Atlas ti software was used to generate themes for discussion.

The findings of this study attribute the nonapplication of green criteria to supplier selection to low knowledge among practitioners. Training, collaboration, opportunities for further studies and affiliation with professional bodies were identified as means to enhance green knowledge. Green human capital factors that support knowledge enhancement include commitment, capability, skills and ease of understanding.

Green procurement practitioners in public universities in developing countries stand little chance of integrating green criteria into supplier selection if they do not develop their level of knowledge.

Selecting green suppliers is a complex issue for public organizations, particularly universities. This study would therefore help equip managers of public universities and procurement practitioners with the relevant GIC knowledge for the successful integration of green credentials into supplier selection.

This paper highlights the importance of knowledge in green supplier selection. To the best of the authors’ knowledge, analyzing the role of GIC in knowledge development is considered the first of this kind of study.

Refractory materials are now used in all major industries that demand high-temperature resistance, including petrochemicals, steel, cement and aviation. Businesses must decrease operating costs, enhance product technology, sell well and manage corporate risks in decision-making, notably supplier selection, to be more competitive. The study aims to determine the key criteria and factors of supplier selection and to evaluate the importance of the key factor of the supplier selection criteria for the refractory materials manufacturers in Taiwan.

Analytical hierarchy process (AHP) is used to rank these factors for the decision maker. The AHP method is suitable for verifying refractory supplier selection criteria and providing references. The weighted loss scores for each supplier are then determined using the relative importance as the weights. Supplier selection criteria are ranked using their aggregate weighted loss scores. The provider with the lowest loss score should be chosen.

Product quality is the most significant of the five criteria: product quality, production technology, logistics capacity, service capability and supplier background. Professionalism is the most significant aspect of product quality, whereas equipment and capacity are vital in manufacturing techniques. The studies also show that the delivery rate is essential for logistics and service capabilities.

This research has important implications for refractory suppliers in promptly fine-tuning the production and service to enhance customer satisfaction, which is key to business sustainability.

The application of an AHP technique to a real-world industrial issue is what makes this research unique. This research addressed one of the most critical topics in supply chain operations by offering better judgement for supplier selection via the use of suitable quantitative methodologies.

In developing countries such as India, start-ups play an essential role in “industrial output,” “Gross Domestic Product ” and “employment creation.” Evidence suggests that pandemics have risen over the last century due to rising global travel and assimilation, urbanization, alterations in land use, and significantly larger exploitation of the natural environment. These trends are likely to continue and intensify. These pandemic episodes affect businesses, especially start-ups. Supplier selection is among the vital critical elements that start-ups must include in start-ups' strategy procedures during the pandemic episodes. This study's focus is to “identify,” “analyze,” and “categorize” the factors affecting supplier selection in start-ups during frequent pandemic episodes like coronavirus disease 2019 (COVID-19).

Through “literature review” and “experts' opinion” from various start-ups in India, ten affecting factors were identified. Total Interpretative Structural Modeling (TISM) and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) were employed to analyze the interrelationship among the factors affecting the supplier selection on start-ups during frequent pandemic episodes, and these factors were ranked as “autonomous,” “independent,” “linkage,” and “dependent” factors.

The findings show that “performance history,” “service levels,” “technical capability,” and “financial stability” are the most critical factors affecting the supplier selection on start-ups during frequent pandemic episodes. The next importance should be safety and environmental concern” and “quality.”

The factors affecting supplier selection on start-ups during frequent pandemic episodes are the current focus of this study. This study is mainly performed on Indian start-ups and can be extended to other countries.

The start-ups can rely on this study to clearly understand the factors affecting the supplier selection on start-ups during frequent pandemic episodes.

There is no research regarding factors affecting supplier selection on start-ups during the COVID-19 emergencies. This research gap is filled by analyzing aspects linked to supplier selection in start-ups. This gap inspired the present study, which employs the “Total Interpretive Structural Modeling (TISM)” technique to uncover supplier selection determinants and investigate hierarchical interconnections among factors influencing/affecting supplier selection in start-ups during frequent pandemic episodes.

The purpose of this paper is to empirically examine supplier selection among small- and medium-sized firms in the US textile and apparel industry. For small- and medium-sized firms, one powerful method of improving the firm’s competitiveness in the dynamic business environment is through strategic approach of supplier selection, which emphasizes supplier’s contributions to the total product and to overall customer satisfaction.

Empirical survey-based research methodology was implemented and data were collected from small and medium firms in textile and apparel business in North Carolina, South Carolina, Georgia, California, and New York which are the major areas of the US textile and apparel industry.

This study demonstrates the supplier selection practices of the small- and medium-sized firms in the US textile and apparel industry and their perceptions of supply market and supplier evaluation systems. Results indicate that supplier selection criteria impact firm performance in different ways. Small- and medium-sized firms carry out supplier selection based on product quality, supplier responsiveness, and strategic consideration which positively impact overall customer service level and overall customer satisfaction.

This paper focuses on supply chain management practices, specifically the supplier selection issue in small- and medium-sized firms in the textile and apparel industry.

The purpose of this study is to investigate the factors affecting supplier selection in food and beverage divisions in the Greek hotel industry. This research aimed to (1) examine the factors affecting supplier selection in food and beverage divisions of the Greek hotel industry, as these were perceived by the Greek purchasing managers themselves; (2) investigate the underlying factors when changing a supplier.

A survey was conducted using a closed-ended type questionnaire. Data collection met the following three criteria: hotels with a fully operational food and beverage division could participate in the research, the research population comprised all the hotels located in 13 regions of Greece, the sample represented over 10% of the total hotels in each region. Finally, 653 valid questionnaires were collected.

Exploratory factor analysis showed that six broad sets of factors affect supplier selection in the food and beverage divisions: those related to raw materials, financing, environment, services, origin-nutrients and people. Regarding the factors considered in changing a supplier, three factors were found: service and product quality, economic policy change, food quality and safety management systems.

Greek hotel managers could use the findings of the study to effectively create a supply chain management strategy that will lead to improved firm performance. Understanding the importance of the selection criteria for the supply chain performance and the need to build strong relationships with stakeholders, suppliers could also create a proper supply chain.

The study adds to the knowledge regarding the perspectives of the Greek purchasing managers in food and beverage divisions in hotel industry and the body of much-needed research. Using exploratory factor analysis, a sort of grouping of the variables seems beneficial for simplifying how to present and understand the factors affecting supplier selection in food and beverage divisions within the Greek context.

The purpose of this paper is to verify if Brazilian companies are adopting environmental requirements in the supplier selection process. Further, this paper intends to analyze whether there is a relation between the level of environmental management maturity and the inclusion of environmental criteria in the companies' selection of suppliers.

A review of mainstream literature on environmental management, traditional criteria in the supplier selection process and the incorporation of environmental requirements in this context. The empirical study's strategy is based on five Brazilian case studies with industrial companies. Face‐to‐face interviews and informal conversations are to be held, explanations made by e‐mail with representatives from the purchasing, environmental management, logistics and other areas, and observation and the collection of company documents are also employed.

Based on the cases, it is concluded that companies still use traditional criteria to select suppliers, such as quality and cost, and do not adopt environmental requirements in the supplier selection process in a uniform manner. Evidence found shows that the level of environmental management maturity influences the depth with which companies adopt environmental criteria when selecting suppliers. Thus, a company with more advanced environmental management adopts more formal procedures for selecting environmentally appropriate suppliers than others.

This is the first known study to verify if Brazilian companies are adopting environmental requirements in the supplier selection process.

The purpose of this paper is to develop a new composite model using structural equation modelling (SEM) and analytic hierarchy process (AHP) for the selection of suppliers.

In this paper the authors have made an attempt to arrive at the supplier selection score using SEM and AHP. An attempt has been made to develop a new composite model using SEM and AHP technique, based on the survey of 151 respondents. Attributes' weightage are found out using cluster analysis.

Based on the output from the composite model, cluster analysis has been carried out to find out the strengths and weakness of each supplier on the influencing factors. Based on these findings, the supplier can improve on factors where they lag and can maintain the factors where they excel.

In this paper the authors have made an attempt to arrive at the supplier selection score using SEM and AHP.