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This study aims to address three research questions pertaining to climate neutrality within the supply chain of metal and mining industry: (1) How can an organization implement practices related to climate neutrality in the supply chain? (2) How do members of the supply chain adopt different measures and essential processes to assist an organization in responding to climate change-related concerns? (3) How can the SAP-LAP framework assist in analyzing and proposing solutions to attain climate neutrality?

To address the proposed research questions concerning climate neutrality, this study employs a case study approach utilizing the SAP-LAP (situation, actor, process–learning, action, performance) framework. Within the SAP-LAP framework, adopting a natural resource-based perspective, the study thoroughly examines the intricacies and interactions among existing situations, pertinent actors and processes that impact climate initiatives within a metal and mining company.

The study's findings suggest that organizations can achieve the objective of climate neutrality by prioritizing resources and capabilities that lead to reduced GHG emissions, lower energy consumption and optimal resource utilization. The study further proposes key elements that significantly influence the pursuit of climate neutrality within enterprises.

This study is one of the earliest contributions to the development of a holistic understanding of climate neutrality in the supply chain of the metal and mining industry.

The study will assist practitioners and policymakers in comprehending the present circumstances, actors and processes involved in enterprises' supply networks in order to attain climate neutrality in supply chains, as well as in taking the right steps to enhance performance.

This study presents a climate neutrality model and provides valuable insights into emission management, contributing to the achievement of the climate neutrality objective.

The technology evolution compels retail networks to introduce unique business models to retain customers and to gain a competitive advantage. Customer reviews available through social media need to be taken into account by retail networks to design a model with unique service operations and marketing approaches that will improve loyalty by adding value to customers. Furthermore, the relationship between customer satisfaction and customer spending behaviour is very weak and needs further investigation. Hence the purpose of this paper is to understand how retail network leverage the potential of social media reviews along with unique service operations to satisfy customers. The study analyses the nexus of: a brand, promotional offers, service operations; and their interaction through social media reviews on customer satisfaction levels.

The authors develop a conceptual model for the social media era. The authors combine the idea of loyalty- and value-based models of Chatterjee (2013). The authors employed a survey questionnaire method to elicit opinions of retail customer satisfaction based on social media reviews, service operations and marketing efforts. The authors derive measures of the model from existing literature and expert opinion.

Social media reviews dramatically impact upon customer satisfaction. Similarly the empirical analysis identifies the significant and positive role played by service operations in customer satisfaction levels. Interestingly the authors did not find unequivocal support for brand satisfaction impacting on customer satisfaction. However, when promotions interact well with service operations, the level of customer satisfaction is significantly affected. Similarly the authors did not observe a positive outcome when there is an interaction between promotion and social media reviews. After reading the reviews, some potential buyers make a visit to store before making final decisions and surprisingly, promotional effects do not change their mind set.

Research findings confirm the importance of social media reviews, marketing and interaction between promotion and service operations enabling retail networks to build loyalty and value-based models. Based on customer behaviour, the study suggests a need to consider operational efficiencies when promoting sales; through careful planning, customer satisfaction and profitability levels can be increased. This sends a strong message to the retail network to defend their position within a very competitive business market.

The empirical evidence based on customer experience would be helpful for companies in integrating their operations and marketing efforts enabling them to convert different segment of customers such as “free riders (higher satisfaction and low profitability)” and “vulnerable customers (low satisfaction and higher profitability)” into “star customers (higher satisfaction and high profitability)”. Through a considered approach: combining social media reviews, marketing and operations, businesses will be better-placed to survive in the ultra-competitive social media-influenced era.

Successful implementation of supply chain collaboration (SCC) by Wal‐Mart has encouraged many manufacturing companies, such as Procter & Gamble, Hewlett‐Packard Co, and West Marine Products Inc., to initiate collaboration. Subsequently, collaboration between suppliers and retailers has become a common practice in many recent supply chains. However, measuring the benefits of collaboration is still a big challenge. Based on supply chain literature and practice, this paper aims to propose a conceptual framework and a standard set of metrics to evaluate the performance of SCC.

The authors discuss two case studies to validate the proposed model. The case study discussions are appropriate to understand the usage of different performance metrics in initial and advanced stages of collaboration.

From the case study it is recognized that the collaborating members in the supply chain are not able to visualise all possible benefits of collaboration. To surmount this issue, the paper proposes a framework to study the performance of companies involved in initial and advanced stages of collaboration.

The classification suggested in this paper on different stages of collaboration and related metrics can guide researchers and practitioners in manufacturing companies to evaluate the performance of SCC.

An appropriate system for analysing performance of supply chains is an important requirement for the effective utilization of the supply chains. The purpose of this paper is to develop a conceptual model for the task of analysing the performance of members of supply chains.

A thorough literature review of the methodologies proposed earlier by various authors has been made. In this paper a multi criteria decision-making (MCDM) framework comprising of two MCDM approaches is proposed for analysing performance of supply chain members.

Performance analysis of members of supply chain and the process of decision making based on the outcome of the analysis is a MCDM process. Since human judgements are often vague, the application of fuzzy concepts is appropriate for analysing the performance of supply chains. The framework proposed in this paper was validated in a company manufacturing textiles.

The methodologies proposed are of great use for large- and medium-sized enterprises. However, small organizations may not be able to allot enough resources to implement the methodologies proposed.

The framework developed can be applied for undertaking a comparative analysis of performance of members of supply chains. It can also be applied for the process of incorporation of new members into the supply chain.

Very few methods are available for analysing the performance of supply chains and the subject remains an under researched one. The major contribution of this paper is that it proposes a new framework.