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Robust and efficient warehouse management is pivotal to the success of contemporary logistics and business productivity. Given the recent technological revolutions and the rising pressure for sustainable warehouse activities, the recent literature continues to grow on Industry 4.0 technologies and sustainable warehousing. Following this, the review aims to explore current state-of-the-art, knowledge development, the focus of research, methodological development and knowledge gaps for more impactful future research on this important yet underexplored topic.

A widely accepted systematic literature review (SLR) methodology was employed on a sample of 46 articles retrieved from multiple search queries in the three large databases: Scopus, Web of Science and Google Scholar.

The authors’ analysis unveils several interesting findings: the positive linkage between various Industry 4.0 technologies and the three main pillars (economic, social, environmental) of sustainable warehousing; the paucity of large scale empirical research, specifically in the context of COVID-19; imbalance amid studies on three main aspects of warehouse sustainability; partial application of Industry 4.0 technologies; and disproportion in scholarly focus between numerous warehouse activities and Industry 4.0 technologies.

The authors integrate research findings from a pool of studies, thereby improving the understanding of practitioners on how different Industry 4.0 technologies relate to sustainable warehousing.

To the best of the authors’ knowledge, this is the first SLR at the intersection of Industry 4.0 technologies and sustainable warehousing. Our review expands the existing knowledge base, devises a conceptual framework and suggests avenues for fruitful future research on this emerging area.

The paper seeks to propose the concept of sustainable enterprise simulation models. The social, environmental and economic models are developed and simulated using iThink in the context of a warehousing and distribution company.

The paper has leveraged the systems dynamic paradigm to conduct sustainable enterprise modelling and iThink™ system to implement the models. It uses the design science research methodology for the proof of concept of the models and modelling processes. The models have been developed for a logistics management company and tested in the business settings. These models were finalised through a number of revisions and iterations of the design, develop, simulate and test and evaluate.

The paper addresses the interconnectivity between disparate sustainability dimensions for developing the models. The validity and usefulness of the sustainability models for the day‐to‐day decision making has been authenticated by the management of the warehousing organisation.

The paper implements system dynamics concepts of sustainability modelling and produces models of various sustainability dimensions which are original in nature and evolution. While the domain in which sustainable enterprise modelling was carried out was warehousing, the concepts and principles that were explored, developed and validated is applicable across most enterprises.

This paper aims to consider a sustainable inventory model with price dependent demand, non-instantaneous deterioration rate, discount facility, partially backlogged shortages and advance and delay in payments for a two-warehouse system.

This model considered a non-instantaneous deterioration, which starts after a certain period with a constant rate. The deterioration rate in the rented warehouse is more compared to own warehouse. The proposed model focused on two things. The first one is to the benefits of the advance payments strategy and delayed payment for the retailer and supplier, where the two-warehouse system is available and the second one is using an appropriate discount facility on no of the installment to maximize the total profit. The classical optimization technique is used to solve the problem.

The combination of trade-credits and advance payments is initiated to provide more benefits to the retailer. The findings prove that advance payments, which are received from the retailer to the supplier are beneficial for the supplier, who can influence the demand increase because of higher lower selling prices. Decreasing the selling price is used as a catalyst to increase demand. It also extends the discount concept of Khan et al. (2019, 2019b).

This model is limited by the fact that it does not consider variable deterioration. Therefore, the proposed inventory model could be extended by considering variable deterioration, as well as fully backlogged shortages and time-dependent demand function.

The study simultaneously considers a non-instantaneous deterioration inventory model, advance-payment, trade-credit for a sustainable two-warehouse inventory system. From the literature search to the best of knowledge no researcher has undergone this sort of study.

So far, most of the literature on logistics social responsibility (LSR) has prioritized the examination, classification of and adaption toward positive LSR practices instead of investigating necessary logistics service providers’ capabilities to implement LSR strategies. Therefore, the purpose of this paper is to contribute to theory by an assessment of LSR and its linkages to dynamic capabilities theory to gain insights into how logistics service providers can foster an enhanced application of LSR practices.

The paper is conceptual and grounded on dynamic capabilities theory. Relevant literature from logistics management, supply chain management and sustainable supply chain management (SSCM) as well as dynamic capabilities was examined to build upon existing theory by conceptualizing LSR from a dynamic capabilities perspective. In addition, propositions for future research are presented based on the conceptual model.

With regards to the controversial discussion in the literature about the direct link between dynamic capabilities and competitive advantage as well as the necessary degree of heterogeneity of dynamic capabilities, the conceptualization of LSR from a dynamic capabilities perspective adds new elements to this discussion. Considering long-term or even sustainable competitive advantage, the current degree of homogeneity across logistics services might hinder a sustainable advantage in the long run and demands for more advanced logistical capabilities. In this line, it is important to understand and utilize the causal relationships between different logistical resources and capabilities to achieve a unique long-term advantage allowing logistics service providers to further enhance LSR practices.

Due to the current role of logistics service providers, they should not just foster their resources focusing on the relationship to the focal firm, but they should also develop and implement new logistical capabilities derived from SSCM-related dynamic capabilities to design alternative service portfolio extensions and new business models.

Although dynamic capabilities have been studied intensively in the last two decades, the causal relationships between different logistical resources and necessary dynamic capabilities to achieve advantages by enhancing LSR practices still lack conceptualization. To build on the understanding of LSR, the paper at hand presents a conceptual framework explaining LSR and SSCM practices through the lens of dynamic capabilities theory.

Although research has been conducted on logistics social responsibility (LSR) on the one hand, and sustainable consumption on the other hand, the interlinkages between LSR and sustainable consumption still lack conceptualization and empirical evidence. Therefore, the purpose of this paper is to study empirically the interplay between logistics services and sustainable consumer choices. Such an analysis allows an investigation of consumer-choice-centered sustainable logistics practices to promote LSR in supply chains (SCs).

Based on expert interviews and in-depth consumer interviews, the authors conducted a three-stage qualitative, exploratory study with regard to sustainable logistics practices explicitly taking a consumer-choice-centered perspective into account.

As a result, consumer-choice-centered LSR categories were identified and discussed against the consumer social responsibility (ConSR) and other disciplines’ literature. In particular, consumer communication is necessary to enhance consumers’ awareness of sustainable logistics as current consumption behavior still hardly considers logistics services. Also, context- and situation-dependent SC configurations as well as financial incentives for sustainable consumption patterns promote more sustainable logistics services choices by end consumers.

Resolving certain frictions and rewarding positive behavior eases consumer’s decision making. By doing so, retailers need to support logistics service providers by stressing the benefits of more sustainable products and services as well as implementing more sustainable pricing schemes. Due to the consumer preferences, it is also important to achieve a context and situation dependent configurations to provide opportunities for more sustainable trade-offs.

The people dimension in SC management is seen as a promising field as the behavioral dynamics of consumers is rarely investigated in SC research. In this line, the study attempts to advance the theoretical underpinnings of corporate social responsibility in sustainable SCs. Therefore, this study contributes to theory by enriching the concept of LSR to include a consumer-choice-centered perspective and gives managerial as well as ethical implications on ConSR accordingly.

Sustainable manufacturing is gaining prominence in light of the rising environmental and social concerns worldwide. One major task to enhance manufacturing sustainability is assessment of the current state of sustainability of a manufacturing firm. This paper reviews the existing sustainability assessment approaches applicable for manufacturing firms and observes that most of these approaches are not easy to apply for reasons such as high amount of skill, data and time requirement. Towards bridging this gap, this study proposes a sustainability assessment approach.

The assessment approach proposed in the paper uses a predefined list of potential sustainable manufacturing practices (SMPs) covering the primary and support activity domains of a manufacturing firm's value chain. It proposes a method to assess the extent of implementation of SMPs and identify associated drivers and barriers for each SMP area/category along the value chain of a firm as well as at overall firm level. A case study from textile industry is presented to demonstrate the utility of this approach.

The sustainability assessment approach adopted in this study uses less time and skills as well as ensures comprehensive coverage of SMPs. It provided valuable information to the management of the case company on how sustainable their practices are and why?

The study highlights the importance of sustainability assessment at SMP area/category level as well as explores practice area/category specific drivers and barriers. It provides a useful approach for a quick assessment of the current state of sustainability in manufacturing firms.

In the digitalization era, supply chain processes and activities have changed entirely, and smart technology impacts each sustainable supply chain movement. The warehouse and distribution of various organizations have started adopting smart technologies globally. However, the adoption of smart technologies in the Indian warehousing industry is minimal. The study aims to identify the implementation barriers of smart technology in the Indian warehouse to achieve sustainability.

This study employs an integrated Delphi-ISM-ANP research approach. The study uses the Delphi approach to finalize the barriers identified from the detailed literature review and expert opinion. The finalized 17 barriers are modeled using interpretive structural modeling (ISM) to get the contextual relationship. The ISM method's output and analysis using the analytical network process (ANP) illustrate priorities.

The study's findings showed that the lack of government support, lack of vision and mission and the lack of skilled manpower are the most significant barriers restricting the organization from implementing smart and sustainable supply chain practices in the warehouse.

This study would help the practitioners enable the sustainable warehousing system or convert the existing warehouse into a smart and sustainable warehouse by developing an appropriate strategy. This study would also help reduce the impact of different barriers that would strengthen the chance of technology adoption in the warehouses.

The literature related to adopting smart and sustainable practices in the warehouse is scarce. Modeling of adoption barrier for smart and sustainable warehouse using an integrated research approach is the uniqueness of this study that have added value in the existing scientific knowledge.

Warehouses are large emitters of greenhouse gases and their impact on climate change is under increasing focus. The purpose of this paper is to investigate the barriers that inhibit the adoption of low-carbon warehousing in Asia-Pacific and their links to carbon abatement performance.

An exploratory conceptual model was first developed from a literature review of the general barriers to sustainable supply chain practices and hence potentially in low-carbon warehousing. A large contract logistics services provider in the Asia-Pacific served as the subject of a case study. The perceived barriers to low-carbon warehousing were derived from an internal survey of respondents from the case company and regressed against carbon abatement outcomes at that organization’s operations across the region.

Results show that the case company reduced carbon emissions by 36 percent on a revenue-normalized basis between 2008 and 2014, but with relatively lower success in emerging markets vs mature markets. An Elastic Net regression analysis confirms that technology and government-related factors are the most important barriers in the case company’s efforts to “decarbonize” its local warehousing operations. However, results suggest that the customer-related barrier, which is highly correlated with the government barrier, is in part driven by the latter.

This case study is based on a single multinational company in Asia-Pacific, but nonetheless serves as an impetus for more cross-sectional studies to form an industry-wide view.

An extended stewardship framework based on the natural resource-based view has been proposed, in which logistics services providers take on a proactive boundary-spanning role to lower the external barriers to low-carbon warehousing.

The purpose of this paper is to propose a framework of green strategies as a combination of energy-efficiency measures and solutions towards environmental impact reduction for improving environmental sustainability at logistics sites. Such measures are examined by discussing the related impacts, motivations and barriers that could influence the measures' adoption. Starting from the framework, directions for future research in this field are outlined.

The proposed framework was developed starting from a systematic literature review (SLR) approach on 60 papers published from 2008 to 2022 in international peer-reviewed journals or conference proceedings.

The framework identifies six main areas of intervention (“green strategies”) towards green warehousing, namely Building, Utilities, Lighting, Material Handling and Automation, Materials and Operational Practices. For each strategy, specific energy-efficiency measures and solutions towards environmental impact reduction are further pinpointed. In most cases, “green-gold” measures emerge as the most appealing, entailing environmental and economic benefits at the same time. Finally, for each measure the relationship with the measures' primary impacts is discussed.

From an academic viewpoint, the framework fills a major gap in the scientific literature since, for the first time, this study elaborates the concept of green warehousing as a result of energy-efficiency measures and solutions towards environmental impact reduction. A classification of the main areas of intervention (“green strategies”) is proposed by adopting a holistic approach. From a managerial perspective, the paper addresses a compelling need of practitioners – e.g. logistics service providers (LSPs), manufacturers and retailers – for practices and solutions towards greener warehousing processes to increase energy efficiency and decrease the environmental impact of the practitioners' logistics facilities. In this sense, the proposed framework can provide valuable support for logistics managers that are about to approach the challenge of turning the managers' warehouses into greener nodes of the managers' supply chains.

This study primarily explores the influence of green warehousing, logistics optimization and social values and ethics on supply chain sustainability and economic performance. The study further examines the mediating role of supply chain sustainability between economic performance and green warehousing, logistics optimization and social values and ethics.

The study employs a quantitative research approach where survey data are collected from 200 managers of manufacturing companies in Ghana. The dataset is analyzed using partial least square structural equation modeling software (PLS-SEM) SmartPLS 3.

The results show that green warehousing and logistics optimization negatively influence economic performance but improves economic performance through supply chain sustainability. It is further discovered that social values and ethics have a positive influence on supply chain sustainability and economic performance.

This paper proposes and tests a theoretical model that explores the relationships between green warehousing, supply chain sustainability, economic performance, logistics optimization and social values and ethics through the resource dependency theory (RDT) in the manufacturing firms in Ghana.