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The purpose of this study was to investigate the affective and cognitive dimensions of satisfaction that impact the buyer-supplier relationship (BSR) from the supplier's perspective and to consider satisfaction within the context of power-dependency theory.

Qualitative in-depth interviews were conducted with 20 Chinese apparel supply professionals who regularly interact with apparel buyers. Audio or video interviews were conducted via WeChat (the most popular social media platform in China).

A thematic analysis of the interview data revealed that both affective and cognitive dimensions of satisfaction impact the BSR. A model of supplier affective and cognitive satisfaction in a collaborative BSR was developed to illustrate the connections between the two dimensions.

Due to intense competition in the market, supplier satisfaction is essential for building relationships in the apparel industry. Existing studies have focused on satisfaction from the perspective of the buyer rather than the supplier because in a BSR, the buyer tends to hold more power. Moreover, research has primarily considered cognitive evaluations of satisfaction with the BSR. This study offers new insight on both cognitive and affective satisfaction from the perspective of suppliers within the context of power-dependency theory.

The purpose of this paper is to design, develop, implement and validate a multi-criteria decision model for measuring supplier satisfaction through a case study.

A three-stage methodology was used to develop a framework to measure supplier satisfaction. The framework involved factors and Key Performance Indicators (KPIs) from literature and exploratory study. Further, using the framework, a multi-dimensional decision model to calculate Supplier Satisfaction Index was developed. The proposed decision framework was implemented as a real-world case study in an Indian manufacturing organization.

The study makes two major contributions: first, it develops a framework to measure supplier satisfaction using factors and KPIs suitable to the buyer organization; second, the model developed to calculate supplier satisfaction helps in understanding overall satisfaction of suppliers along with the level of satisfaction of each supplier. The model can also be used to suggest improvements to buyer organizations on specific factors and KPIs under each factor.

Supplier satisfaction plays an important role in multinational companies (MNCs), so the sample of practitioners considered in this study is relevant. However, it is likely that the small sample size of only suppliers and companies selected solely from the Indian manufacturing MNCs may have introduced some bias.

A comprehensive framework for enhancing the relationship with suppliers will be instrumental in deciding, managing and improving the level of supplier satisfaction.

This approach provides purchase managers with the flexibility of selecting factors and KPIs at every level of analysis and also a single index to establish supplier’s satisfaction with a buyer company.

The purpose of this study is to develop a scale and model to measure suppliers' satisfaction index (SSI) in buyer‐suppliers relationships.

Based on the literature review and opinion of the suppliers, this paper first explores the factors that influence suppliers' satisfaction (SS). Subsequently a questionnaire is designed based on these factors and survey was conducted among 300 suppliers' organizations. Partial least square (PLS) approach is used to validate the model and investigate the relationships of factors or constructs with SS. Finally, the authors compute the extent of SSI using analytical hierarchy process (AHP).

The results indicate that purchase policy, payment policy, coordination policy and corporate image of the buying firm have positive impact on SS. The purchase policy and corporate image have strong impact on SS compared to other factors. The computed value of SSI in this study is 65.25 on the scale of 1‐100.

The data used in this study are collected only from the suppliers of an Indian PSU. The proposed method can also be used by other industries for measuring the value of SS. In the future, one can carry out a study by measuring the satisfaction of both parties simultaneously. Moreover, generalizability of the findings to other industries or other countries is open to scrutiny.

This paper develops a new scale to measure SS and explores the relationships of different factors with SS and among each other. Finally, a method is proposed to compute the current level of SSI.

The main purpose of this research is exploring the tipping points for a radical shift in supplier (dis)satisfaction. This study identifies triggers and links them to consequences for the buyer–supplier relationship.

The Critical Incident Technique (CIT) was used to interview Dutch supplier representatives in the infrastructure sector, resulting in rich descriptions of 29 critical incidents, extracting first-hand information.

Safety issues, technical disputes and recruitment of supplier’s technical staff have been identified as tipping points for suppliers to become dissatisfied. Implementing performance-based contracting is another critical incident that caused irritation and disappointment. On a more operational level, dissatisfaction was provoked by tender errors and price discussions with the buyer. This study also identified tipping points by which dissatisfied suppliers abruptly turned into satisfied suppliers. The effect of a solution-oriented buyer intervention appears to be most powerful if this behaviour transcends prior expectations.

Consequences of misunderstandings and discussion between supplier and buyer may be manageable or repairable, depending on the causes and triggers that influenced a supplier’s dissatisfaction. An early warning system could prove its worth, so that buyers are not faced with unpleasant surprises.

Despite the growing number of studies, processes of how antecedents lead to supplier (dis)satisfaction are not well understood. Antecedents are predominantly investigated by cross-sectional survey data, giving little insights into micro-processes and actual interaction between buyers and suppliers. Although CIT has been applied in many disciplines, the technique is hardly used within the context of purchasing and supply management research.

There is great uncertainty and volatility in the evaluation and measurement of green supplier satisfaction. The purpose of this paper is to fill this gap based on the information entropy theory (IET) to describe the probability of green supplier satisfaction degree.

The authors introduce a formal model using analytic hierarchy process (AHP), IET and entropy technique for order preference by similarity to an ideal solution (TOPSIS) method to evaluate green supplier satisfaction and promote them for the better implementation of green supply chain management practices.

The first finding is developing an effective framework for green supplier satisfaction, incorporating various measures of environmental dimension. Second, a hybrid uncertainty decision method is introduced, by integrating AHP and IET and entropy-TOPSIS.

One of the main limitations of the research is that the authors introduced a conceptual example. Real-world applications need to investigate the accuracy and effectiveness of these measures, and the operational feasibility of this method.

This is one of the first works to provide a comprehensive appraisal model for evaluation of green supplier satisfaction. This study and research method can form general guidelines, and organizations can increasingly benefit from using green supplier satisfaction evaluation as a management tool. Green supplier satisfaction evaluation is just the beginning.

This paper aims to understand the factors that influence a supplier’s choice to treat selected customers more preferentially than others. Suppliers often lack the resources to treat all their customers equally, instead having to make choices to treat some customers as preferred. Empirical evidence indicates that preferential treatment by suppliers provides substantial benefits for the purchasing firm.

This study applies a mixed-methods approach. First, a qualitative analysis of a sample of buyers from an automotive manufacturer was conducted. In the second step, the findings were triangulated via a quantitative survey among key account managers of the automotive firm’s suppliers.

This paper is the first to provide quantitative data collected from a large sample of automotive suppliers about the drivers of preferential customer treatment. The authors were able to show that the growth opportunities for suppliers and customers’ operative excellence, reliability and relational behavior are factors that induce suppliers to award preferential customer treatment. In contrast, innovation potential for suppliers, customers’ support of suppliers, supplier involvement and contact accessibility do not show a significant effect on suppliers’ behavioral intentions toward preferential customer treatment.

The mixed-methods approach is introduced as a form of academic enquiry in supply chain management. The factors influencing preferential customer treatment by suppliers are explored in discussions with purchasers and validated in a subsequent survey among suppliers. Recommendations for managerial practice and theory are drawn.

This study aims to analyze how startups organize their purchasing activities to improve operative excellence and become attractive customers.

The authors use a two-phase exploratory approach with semistructured interviews and a World Café. In total, 20 startup purchasers and suppliers participated. It is an international study with participants from eight countries (Belgium, Brazil, France, Germany, Hungary, The Netherlands, the UK and the USA).

The authors find that startups organize the purchasing function in five ways: partial outsourcing, transactional-oriented, strategic only, outsourced purchasing and full department. Each type has advantages and disadvantages regarding operative excellence. The authors identify type-specific antecedents to operative excellence: forecasting, payment habits, ordering process, contact accessibility and quick decision-making.

The value of this paper is that it offers entrepreneurs a framework to organize startup purchasing activities, including outsourcing options. Furthermore, it provides theoretical contributions that expand the topic of purchasing and supply organization and operative excellence to the startup context.

The value of this paper is that, to the best of the authors’ knowledge, it is the first to explore purchasing organization and operative excellence in startups.

This paper aims to explore the supply chain management problem of understanding the response of suppliers to buyer behaviours and characteristics.

The paper reviews the relevant literature in search of references to critically assesses the effects of applying the mirror images of the concepts of customer value, satisfaction and product or service quality, developed in the field of marketing, to the field of operations management.

The study suggests that the new concept of purchase offering quality is worthy of further development in the supply chain management area and that supplier value and supplier satisfaction are useful concepts for understanding supplier behavioural intentions.

The study will help organisations to improve supply chain performance through an enhanced ability of organisations-as-buyers to influence supplier behaviour by modifying aspects of their own behaviour. It should be of particular interest to all organisations in their dealings with recalcitrant and unresponsive suppliers, or buyers with very low levels of power trying to improve the responsiveness of more powerful suppliers.

The paper introduces two new concepts: “purchase offering quality” that describes supplier perceptions of the characteristics and behaviours of buyers offering supplier benefits, and “supplier behavioural intentions” that is a term referring to the responses of suppliers to buyer characteristics and behaviours. This work can form the foundations of an extensive area of new study into organisational supplying behaviour.

The purpose of this paper is to investigate the influence of social capital and relationship quality on key account management (KAM) effectiveness.

Based on the literature, the authors designed a framework that links social capital, relationship quality and KAM effectiveness. Data were collected through a self-administered questionnaire. Using data from a sample of 172 business-to-business supplier firms, the authors examined this model.

The research results provide empirical support to the importance of relational aspects of KAM by showing how the relational aspects of relationship quality and social capital influence the effectiveness of the supplier-key account relationship.

The authors add to the literature on relational KAM by integrating theoretical perspectives on social capital, relationship quality and KAM. They develop a model that investigates the antecedents of the effectiveness of supplier–key account relationships from a relational perspective. The study explains the relationships between six constructs representing social capital (ability, benevolence, integrity, flexibility, information exchange and solidarity) and three constructs representing relationship quality (trust, satisfaction and relationship atmosphere), together with the relationships between these three constructs of relationship quality and KAM effectiveness.