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In the recent years, the two increasingly popular topics, namely, Industry 4.0 and circular economy (CE) have attracted the attention of many academicians and practitioners. However, the connection between CE and Industry 4.0 has not been much investigated in the literature. Motivated by this gap, the purpose of this paper is to integrate these two streams and attempt to understand the new paradigm of Industry 4.0 for resolving the issues pertaining to CE principles.

The study uses situation, actor, process, learning, action, performance (SAP-LAP) linkages framework to analyze the applications of Industry 4.0 mechanisms in realizing the issues of current CE business models. This is done through the interpretation of the cross-interaction and self-interaction relationships among the different interfaces/elements of SAP-LAP.

The results suggest that top managers are the most essential actors for integrating the use of Industry 4.0 to achieve sustainability, in the light of CE. In addition, advanced technologies such as Internet of Things and cyber-physical systems are the most important Industry 4.0 actions that help in improving the CE performance parameters.

This qualitative study is an attempt to analyze and assess the strategic issues pertaining to Industry 4.0 standards in CE. The study identifies learnings (challenges/opportunities) and the corrective actions which are imperative toward achieving CE principles. This study will guide managers and policymakers to understand the importance of implementing Industry 4.0 for accomplishing CE principles.

This study integrates two important streams of literature – Industry 4.0 and CE. Thus, this paper offers insights about the importance of Industry 4.0 standards in achieving CE principles.

Pharmaceutical donations are a practical approach to increase medicine availability during disasters such as disease outbreaks. However, often donated pharmaceuticals are inappropriate and unsuitable. This convergence of inappropriate pharmaceuticals is a severe operational challenge and results in environmental hazards. This study explores the pharmaceutical supply chains (PSCs) during a disease outbreak to relieve the negative impact of the material convergence problem (MCP).

This study adopts a situation-actors-process learning-action-performance (SAP-LAP) linkage framework to understand the PSC dynamics. The problem-solving component of the SAP-LAP analysis provides the strategies catering to MCP. The findings from the SAP-LAP helped to develop the causal loop diagram (CLD). This study conducts several experiments on the proposed strategies by integrating CLD into a stock and flow diagram. Later, a disease outbreak case study accessed the pharmaceutical donations effect on PSC performance.

The study synthesises and evaluates propositions and strategies to incorporate circular economy (CE) principles in PSC. This study proposed two strategies; one to sort and supply and the other to sort, supply and resell. The reuse policy improves humanitarian organisations' finances in the simulation study. This study verified the operational improvement of PSC by reducing the transport and storage burden due to MCP.

This study comprehensively approaches the issue of drug donation and uniquely produced several propositions for incorporating a CE perspective in PSC. The study also proposed a unique simulation approach to model the donation arrivals in response to a disease outbreak using susceptible, exposed, infectious and recovered modelling.

In developed and developing countries, organizations need to do sustainability reporting. The purpose of this paper is to identify the vital linkages of sustainability, which helps to capture the existing waste management practice in sustainable organizations.

This paper reports a mixed-method approach for sustainable organization. Initially, the waste management and sustainability factors have been linked together for finding the relation between them through the situation, actor, process, learning, action, performance (SAP-LAP) linkages framework; it has been used as qualitative design details to achieve sustainability in the organization. The waste management and sustainability factors linkages have been used as a reference to guide the cause and effect relationship through decision-making trial and evaluation laboratory (DEMATEL) to upgrade knowledge for a sustainable organization.

The proposed method has been used to meet the functional requirements of sustainability in the organization. Waste management has been analyzed as the most significant benchmarks to achieve sustainability in the organization. The causal relationship reveals that the social image of an organization as a sustainable organization is the effect of its governmental directives, followed by the organization. The governmental directives is the most influencing dimension, and waste management efficiency and energy consumption are the most related, whereas wastivity is the most flexible dimension of sustainability in the organization. To increase its customer satisfaction, profit share and market value, these factors must be considered as vital factors of organization's sustainable performance.

The scope of the present research has been limited to benchmark sustainability by analyzing eight waste management factors and ten critical sustainability factors that have been grouped into four dimensions in the service sector, which could be generalized. The expert's view has been captured for DEMATEL based on “ratings provided by experts,” which may be biased.

Benchmarked sustainability factors have been proposed to increase the value and performance of the organization. The cause and effect relationship is useful to present the capability of waste management to act as a strong foundation for establishing a sustainable organization, where governmental directives, wastivity, waste management efficiency, and energy consumption act as the benchmarking factors to compare sustainable organization performance in developing the county's viewpoint. The present study considered the fourth dimension of sustainability “government and customer” as the dynamic dimension of sustainability, which can absorb and diffuse the changes in sustainable organization with time and can improvise social acceptance.

The research improves the existing method of measuring the performance of the sustainable organization by using well-established methods.

Digital India, the flagship programme of Government of India (GoI) originated from National e-Governance Project (NeGP) in the year 2014. The programme has important aspect of information security and implementation of IT policy which supports e-Governance in a focused approach of Mission Mode. In this context, there is a need to assess situation of the programme which covers a study of initiatives and actions taken by various actor involved and processes which are responsible for overall e-Governance. Therefore, the purpose of this case study is to develop a Situation-Actor-Process (SAP), Learning-Action-Performance (LAP) based inquiry model to synthesize situation of information security governance, IT policy and overall e-Governance.

In this case study both systematic inquiry and matrices based SAP-LAP models are developed. Actors are classified who are found responsible and engaged in IT policy framing, infrastructure development and also in e-Governance implementation. Based on a synthesis of SAP components, various LAP elements were then synthesized then which further led to learning from the case study. Suitable actions and performance have also been highlighted, followed by a statement of the impact of the efficacy i.e. transformation of information security, policy and e-Governance on the Digital India programme.

On developing the SAP-LAP framework, it was found that actors like the Ministry of Electronics and Information Technology of the Govt. of India secures a higher rank in implementing various initiatives and central sector schemes to accelerate the agenda of e-Governance. Actions of other preferred actors include more investments in IT infrastructure, policy development and a mechanism to address cyber security threats for effective implementation of e-Governance. It was found that actors should be pro-active on enhancing technical skills, capacity building and imparting education related to ICT applications and e-Governance. Decision making should be based on the sustainable management practices of e-Governance projects implementation to manage change, policy making and the governmental process of the Indian administration and also to achieve Sustainable Development Goals by the Indian economy.

The SAP-LAP synthesis is used to develop the case study. However, few other qualitative and quantitative multi criteria decision making approaches could also be explored for the development of IT security based e-Governance framework in the Indian context.

The synthesis of SAP leads to LAP components which can bridge the gaps between information security, IT policy governance and e-Governance process. Based on the learning from the Situation, it is said that the case study can provide decision making support and has impact on the e-Governance process i.e. may enhance awareness about e-services available to the general public. Such work is required to assess the transparency and accountability on the Government.

Learning based on the SAP-LAP framework could provide decision making support to the administrators, policy makers and IT sector stakeholders. Thus, the case study would further help in addressing the research gaps, accelerating e-Governance initiatives and in capturing cyber threats.

The SAP-LAP model is found as an intuitive approach to analyze the present status of information security governance, IT policy and e-Governance in India in a single unitary model.

The transition from centralized thermal power plants to distributed renewable energy sources complicates the balance between power supply and load demand in electrical networks. Energy storage systems (ESS) offer a viable solution to this challenge. This research aims to analyze the factors influencing the implementation of ESS in the Indian smart grid.

To analyze the factors affecting ESS deployment in the grid, the SAP-LAP framework (situation-actor-process and learning-action-performance) integrated with e-IRP (efficient-interpretive ranking process) was used. The variables of SAP-LAP elements were selected from expert opinion and a literature review. Here, e-IRP was utilized to prioritize elements of SAP-LAP (actors in terms of processes and actions in terms of performance).

This analysis prioritized five stakeholders in the Indian power industry for energy storage implementation: government agencies/policymakers, ESS technology developers/manufacturers, private players, research and development/academic institutions, and contractors. Furthermore, the study prioritized the necessary actions that these stakeholders must take.

The study’s findings help identify actors and manage different actions in implementing grid energy storage integration. Ranking these variables would help develop a strategic roadmap for ESS deployment and decisions about adopting new concepts.

It is one of the first attempts to analyze factors influencing ESS implementation in the power grid. Here, qualitative and quantitative methodologies are used to identify and prioritize various aspects of ESS implementation. As a result, the stakeholder can grasp the concept much more quickly.

In today’s uncertain business environment, Industry 4.0 is regarded as a viable strategic plan for addressing a wide range of manufacturing-related challenges. However, it appears that its level of adoption varies across many countries. In the case of a developing economy like India, practitioners are still in the early stages of implementation. The implementation of Industry 4.0 appears to be complex, and it must be investigated holistically in order to gain a better understanding of it. Therefore, an attempt has been made to examine the Industry 4.0 implementation for the Indian manufacturing organization in a detailed way by analyzing the complexities of relevant variables.

SAP-LAP (situation-actor-process and learning-action-performance) and an efficient interpretive ranking process (e-IRP) were used to analyze the various variables influencing Industry 4.0 implementation. The variables were identified, as per SAP-LAP, through a thorough review of the literature and based on the perspectives of various experts. The e-IRP has been used to prioritize the selected elements (i.e. actors with respect to processes and actions with respect to performance) of SAP-LAP.

This study ranked five stakeholders according to their priority in Industry 4.0 implementation: government policymakers, industry associations, research and academic institutions, manufacturers and customers. In addition, the study also prioritized important actions that need to be taken by these stakeholders.

The results of this study would be useful in identifying and managing the various actors and actions related to Industry 4.0 implementation. Accordingly, their prioritized sequence would be useful to the practitioners in preparing the well-defined and comprehensive strategic roadmap for Industry 4.0.

This study has adopted qualitative and quantitative approaches for identifying and prioritizing different variables of Industry 4.0 implementation. This, in turn, helps the stakeholder to comprehend the concept of Industry 4.0 in a much simpler way.

Several challenges and issues are involved in successfully managing and improving the port logistics system (PLS) performance. Ports still face issues, including insufficient cargo handling equipment or equipment sharing during loading and unloading, which requires manual container inspection and delays clearance. This research aims to enhance the port logistics performance at one of India's cargo-handling ports. This paper seeks to identify various situations, actors, processes, learnings, actions and performance metrics particular to India's major container handling port.

The study objectives are accomplished using the Situation-Actor-Process–Learning-Action-Performance (SAP-LAP) framework, Fuzzy Analytic Hierarchy Process (FAHP) and Interpretive Ranking Process (IRP). The FAHP prioritises or ranks actions in a fuzzy environment. The ranking obtained by the FAHP method is assessed using the IRP approach.

This study examined action criteria and sub-attributes that define a PLS's effective implementation regarding handling containers in India. The results illustrate that strategic action must be prioritized first, followed by infrastructural and operational development, Technology upgradation and new methods and Training and Development initiatives.

This research provides a logical framework for evaluating the importance of various actions throughout the decision-making process. It would assist managers and practitioners in interpreting the impact of critical actions on performance and improving the operation of PLS by constructing resilient and adaptable solutions.

The study integrates methodologies like the IRP, SAP-LAP and FAHP. It focuses on various actions for an effective port logistics implementation system. The findings of this study allow decision-makers to understand interpretative reasoning by performing pairwise comparisons among the factors.

The present study aims to assess the role of supply chain resilience as an operational excellence approach to deal with disruptions caused by coronavirus pandemic in the food supply chain of an agri-food supply firm.

The case study method was used to analyse the disruptions faced by the agricultural food supply chain during the pandemic. The study applies a dynamic capability theory as a foundation to develop a contextualised resilience framework for agri-food supply chain to achieve operational excellence. The case has been analysed by using situation-actor-process (SAP) and learning-action-performance (LAP) framework.

The SAP aspect of framework points that the flexibility amongst actors for a resilient agriculture supply chain worsened due to the lockdown measures post COVID-19. The LAP aspect of framework suggests how resilience can be built at the supply, demand and logistics end through various proactive and reactive practices such as collaboration, coordination, ICT and ground-level inputs. Lack of commitment and inadequate support from top management towards supply chain resilience are also observed as significant challenges to maintain operational excellence during the pandemic.

One of the major implications of the study is that a mix of capabilities rather than a single capability can be the most appropriate way for making the supply chain resilient to maintain operational excellence during the pandemic. However, the sources of disruptions need to be duly recognised to derive the best-contextualised resilience framework for agri-food supply chains.

The development of a contextualised research framework as well as research propositions for analysing supply chain resilience are the major contribution of this study.

The purpose of this study is to analyze sustainability issues in the context of logistics service providers (LSPs) and to evaluate the sustainability index of an LSP in the Indian scenario.

The case study method is used to understand the sustainability issues of an Indian LSP. The situation–actor–process (SAP) and learning–action–performance (LAP) framework has been applied to critically examine the sustainability issues of the case organization. The information about the case study is collected from both primary and secondary sources, and a detailed analysis of different sustainability issues in the context of an Indian case has been done. The sustainability index for the case organization has been also evaluated.

It can be observed from the in-depth case analysis that LSPs have started making use of green practices for long-term sustainability, but adoption is very slow in developing countries such as India. Based on SAP-LAP analysis of an Indian LSP, suitable actions are recommended for improving the performance of LSPs.

Adoption of sustainable practices by LSPs can lead to sustainable performance. Sustainability index can assist LSPs to benchmark their sustainability performance to meet the market requirements.

The novelty of this study is to analyze the issues related to implementation of sustainable practices in an Indian LSP through SAP-LAP framework. It also illustrates the evaluation of sustainability index.

This study endeavours to (a) develop a comprehensive interpretive structural modelling (ISM) toolkit containing sufficient details about the suitability and procedural aspects of each ISM approach and offer points of reference for budding researchers, (b) highlight the compatibility of ISM approaches with other qualitative and quantitative approaches, and (c) chalk-out an agenda for future research.

This study is based on an extensive review of 74 studies where researchers have used one or more ISM approaches. These studies span across the different industry sectors.

There exists a huge void in terms of the methodological synthesis of ISM approaches. ISM approaches are frequently used in sync with other qualitative and quantitative approaches. Furthermore, it highlights the need of improving the robustness of the proposed ISM models by sharing the critical details of research process.

Being a review-based work, it could not illustrate the discussed ISM approaches with real data. However, it offers a research agenda for the prospective researchers.

The prerequisites, pitfalls, suitability and the procedural aspects of various ISM approaches contained in this toolkit are equally useful for the academicians as well as practitioners.

In the absence of a synthesized framework, this study contributes a comprehensive ISM toolkit which will help the researchers to choose a suitable ISM approach in a given case.