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The purpose of this paper is to identify how organizations can evaluate the green product deletion decision within an environmentally sustainable consumption and production environment through a hybrid multistage multiple criteria evaluation approach.

This paper proposes a decision-making model by integrating “soft computation” using neighborhood rough set theory, fuzzy cluster means, and cumulative prospect theory. Literature is used to identify various factors for the decision environment. An illustrative problem provides insights into the methodology and application.

The results indicate that green products can be evaluated from both their relative environmental burdens and benefits. Sustainable consumption and production factors that play a role in this multifactor decision are identified. The results show that a comprehensive evaluation can capture an effective overall picture on which green product(s) to delete.

The opaqueness of the proposed methodology may cause less acceptance by management. The methodology made a number of assumptions related to the data. An actual application of the tool rather than just an illustrative example is needed.

The main contribution of this study is the novel integration of supply chain perspectives, both upstream (supply and production) and downstream (demand/usage), with green product deletion decision making. The hybrid multistage technique has advantages of being able to incorporate many factors that have a variety of quantitative and qualitative characteristics to help managers address green product deletion issues as well as its impact on greening of supply chains and organizational environmental sustainability. This paper adds value to product deletion, supply chain management, and sustainable production and consumption literatures.

Product portfolio management is a strategic concern. Product portfolio management includes decisions associated with adding new products, maintaining existing products and deleting or phasing out problematic products. This paper first introduces a framework to identify risks of product deletion along supply chain activities. It utilizes failure mode and effects analysis (FMEA) to identify, analyse and evaluate product deletion risks on supply chains and proposes managerial implications for risk management in dynamic business scenarios. It is meant to build upon and address a gap in the product deletion and supply chain linkage literature.

FMEA is utilized in this study to structure and manage potential risks in product deletion decision-making on supply chains. FMEA is based on an analysis of severity, occurrence and detectability of failure modes. FMEA provides methods to help identify managerial preventive solutions to avoid and mitigate risk consequences of such decisions.

Ten top product deletion risks are identified in this study; discussions of their negative impact on supply chain performance, and possible managerial recommendations are followed for risk control, monitor and elimination.

Findings help managers to predict, avoid and mitigate risk consequences of product deletion decisions; especially those related to the supply chain. A framework to structure various risks of product deletion in the supply chain can be useful to both practitioners and researchers.

This study advances product portfolio management through enhanced understanding of product deletion decision-making in organizations; and especially contributes to a broader investigation of such decisions in supply chain management. It also structures the factors that play a role in identifying risks.

Market uncertainties require organizations to consistently revisit their product portfolio. Theoretically the link between corporate strategy, supply chain and operations for Product Deletion (PD) decisions is lacking. The purpose of this study is to develop a decision support tool that enables managers to evaluate PD decisions across business, supply chain strategies and customer considerations; rationalizing product portfolio variety while realizing long-term organizational competitiveness.

This study applies Quality Function Deployment (QFD) to formalize PD decision-making across multiple functional strategy perspectives. Manufacturing, supply chain, finance and marketing functions are included along with incorporating multiple stakeholder voices from multiple organizational levels—including top-management team members, cross-functional managers and customers. A case study application is conducted using an Original Equipment Manufacturer (OEM) perspective.

The interrelationships between business, supply chain strategies and customer requirements are identified, along with tensions and tradeoffs using a series of “houses” or relationship matrices. The methodology provides managers with a decision support tool that can be flexible and applicable to aid sound PD decision-making incorporating multiple stakeholders.

Product decisions at the decline stage—for example product retirement or deletion—are neglected both in research and in practice. Having a formalized systematic process can make PD outcomes more objective. The proposed QFD approach is one of the early PD decision support tools—products can be deleted for strategic, operational and customer-related reasons, and the hierarchical interrelationships among various reasons need to be carefully managed to ensure sound product portfolio rationalization.

More and more attention has been paid to the financing of small- and medium-sized enterprises (SMEs) and environmental protection. Many literatures have done detailed research on them; yet, few of them studied the interaction between corporate financing behaviors and environmental concerns. This study aims to incorporate the impact of the role of data collection into the mathematical model to explore the optimal financial and ordering strategies when considering environmental protection.

A Stackelberg game modeling and backward induction methods are used to derive the optimal equilibrium solutions, using numerical experiments to further explore the influences of various financing strategies on the green degree of product and ordering policies.

No matter which financing modes the capital-constrained retailer chooses, both the loan interest rate and order quantity considering environmental protection are larger than that without environmental protection concerns. As the retailer's initial capital increases, the optimal loan interest rates under various financing modes are all decreasing. The application of big data technology would promote the environmental protection of enterprises and increase the accuracy of financing decisions.

This paper studies financing activities of a supply chain considering data collection and environmental protection behaviors, which provides meaningful guidance for the financing and environmental decision-making of enterprises.

This study provides a reflective overview on the role of traditional and emergent digitalization and information technologies for leveraging environmental supply chain sustainability – while reflecting on potential trade-offs and conflicts of digitalization and greening.

The authors use relevant literature and literature from Industrial Management and Data Systems (IMDS) research published in this journal over the past 50 years. They also use their knowledge and over 30 years of research experience in the field to provide professional scholarly reflections and perspective.

The authors provide a focused and succinct evaluation for research directions. A pressures, practices and performance framework sets the stage for pertinent research questions and theoretical needs to investigate the nexus of digitalization and green supply chain management. The authors provide two frameworks with exemplary practices and research for traditional and emergent digitalization and information technology. Their reflection concludes with a summary and steps forward.

The authors show how research and practice can be used to affect supply chain greening with digitalization and information technology. They observe that care should be taken given that these technologies can paradoxically simultaneously offer solutions to environmental degradation and potentially be a source of environmental degradation across the supply chain.

This work provides a summary and unique perspective that links traditional and emergent digitalization technology to green and environmental sustainability work. The area has not seen a clear summary and path forward and shows how IMDS literature has contributed to the field for decades.

Due to stringent regulations on carbon emissions, green manufacturing has become a critical issue in manufacturers’ strategic planning. Manufacturers are greening production through carbon abatement activities. The purpose of this paper is to investigate the factors that influence the effects of carbon abatement on environmental productivity growth.

Using data envelopment analysis with directional distance function, this study examines productivity growth associated with carbon abatement under regulated and unregulated production technologies. A pollution abatement index (PAI) is constructed for determining the effects of carbon abatement on environmental productivity growth. Panel data of 18 European countries in paper and pulp and coke sectors are collected for the analysis.

The empirical findings reveal that carbon abatement may positively or negatively affect environmental productivity growth which is dependent on the nature of technology in a sector, the innovation capabilities of a country and environmental regulations.

Conventional approaches in measuring productivity changes do not normally take undesired outputs (e.g. carbon emissions) into consideration. This study contributes to literature by constructing a PAI that considers productivity changes under a joint production technology (where both desired and undesired outputs are considered). The findings enhance current understandings on the effectiveness of carbon abatement activities and help managers establish corporate environmental strategies to adopt green manufacturing.

This paper revisits the causes of product deletion, an important if somewhat neglected part of product management theory. The causes of product deletion are important in the way they compromise a product manager’s ability to pursue the organisation’s product objectives. Without a knowledge of when or why a product may become sick, it is doubtful that proactive product management can be successfully accomplished. The documented causes of why products become terminally ill are explored to provide a conceptual background for the reported study. The findings of a qualitative study into the factors that cause product deletion in the financial services sector are presented. The key issues relating to both the financial services and the physical goods sector are analysed and discussed. The outcome of this is a realisation that the development of a universal model for the identification of why products become weak is unsafe. The results of this study suggest that there is a clear need for research that explores the relationship between the causes of product decline and the formulation of triggers of deletion.

In the current highly competitive market, most organizations are moving away from reactive and compliance-based to proactive environmental management. This proactive approach to environmental management calls for taking a strategic approach to adoption of green practices beyond an organization’s internal borders. In this respect, incorporating green practices into a firm’s supply chain has attracted interest of operations management scholar and practitioners. The influence of external pressures on the adoption of green supply chain management (GSCM) practices has been established in the literature. This research posits that the adoption of GSCM practices is also driven by a firm’s internal strategic factors including its key resources and competitive strategy. It also suggests that these direct effects are further mediated by the green strategies (GSs) adopted in companies. Theoretically, these relationships are supported by combining the institutional theory with the natural resource-based view. A structural equation modeling is applied to formulate and analyze the relationships and the mediating effect using a survey data collected from 139 ISO14001-certified manufacturers in Malaysia. The results verified the mediating effect of GS adoption on the relationship between internal and external strategic factors, and GSCM practices. This research has made an original contribution to knowledge by bridging the fields of strategic environmental management and GSCM.