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The literature of supply chain management (SCM) is burgeoning with frameworks but there has been no attempt in extant literature to highlight the inconsistencies present in existing SCM frameworks. The purpose of this paper is to identify these inconsistencies by critically reviewing 57 SCM framework articles. Based on the results of reviewing these articles, an attempt is made to propose a framework that possibly suggests a way to achieve coherency in use of SCM frameworks, and hence help researchers in reducing the inconsistencies that may occur in future frameworks.

Review of frameworks is based on certain criteria such as novelty of frameworks, participation of practitioners and consultants in making academic frameworks, verification of frameworks, modes of verification and degree of standardization of SCM elements (or constructs).

The analysis of selected frameworks reveals major inconsistencies, such as negligence of researchers towards adapting existing frameworks, lack of significant participation of practitioners/consultants in development of SCM frameworks and highly incoherent use of elements (or constructs) in development of SCM frameworks. The findings of this paper also establish that further research in SCM should be directed towards finding a “unified theory of SCM” which must lead to a set of coherent elements (or constructs).

The framework articles are selected from a large population of 1,807 articles. These frameworks are critically reviewed in this paper and a debate is initiated on what is a framework and what constitutes a framework in SCM.

This paper proposes a framework that describes the boundary spanning supply chain management (SCM) initiatives taken by leading companies. Supported by existing literature and interviews with managers from large companies reflecting a cross section of businesses, the framework suggests four motivating domains or factors that could support SCM initiatives. They are supply chain understanding, design, improvement, and coordination. Based on the sand cone model, the framework also suggests four levels of SCM integration over which these motivating factors are relevant to the firm and/or supply chain. They range from no integration outside the functional silos of a single firm to a fully integrated multi‐tier supply chain. Unlike existing frameworks that are based upon the flow of material and information through the supply chain, our framework is derived by combining the concept of integration with the motivating domains that characterize SCM initiatives. It captures the combined and overlapping impact of supply chain initiatives from a more strategic perspective and is a useful additional resource for practitioners who seek to chart potential improvements to their supply chain from a competitive standpoint.

Several authors in extant literature have shown concern towards lacuna in availability of standard constructs in supply chain management (SCM). These standard constructs can represent pillars of SCM excellence. However, frameworks on SCM excellence unlike its contemporary fields are very few. Thus the purpose of this paper is to develop a path analysis for proposed framework of SCM excellence in Indian manufacturing industry proposed by Soni and Kodali (2014) using interpretive structural modelling (ISM) and structural equation modelling (SEM).

The ISM is performed on two exemplary cases of supply chain in Indian manufacturing industry. These cases were selected on the consideration of supply chain excellence index (SCEI), based on the results of an empirical study conducted by Soni and Kodali (2014) in Indian manufacturing industry. The focal manufacturing company which exhibited lowest and highest SCEI were selected as contenders for developing ISM. The relationships among pillars and constructs of SCM excellence framework are obtained from ISM, and later are subjected to statistical testing of model fit by using SEM. The input to SEM was the respondent’s data used in previous study.

The major findings revealed that ISM based on focal company having highest SCEI, is statistically fit for SCM excellence framework, and finally the structural models of the constructs for each pillar of SCM excellence are also formed by using path analysis.

The study offers a unique managerial approach for analysing the underlying relationships between pillars of SCM excellence. Researchers can use this study for developing frameworks in various realms of SCM excellence.

The purpose of this paper is to introduce a hybrid framework (suppliers, inputs, process, output and customers+define, measure, analyze, improve and control (SIPOC+DMAIC)) aimed at improving supply chain management (SCM) process dimensions in a supply chain (SC) network.

Based upon the critical review of literature, process dimensions (average outgoing quality limit (AOQL), average outgoing quality (AOQ), process Z, defect per million opportunity) critical to SCM performance were identified. A framework consisting of three phases, i.e., design, implementation and results has been conceptualized and a case from paint industry is investigated. Implementation framework makes use of SIPOC model and Six Sigma DMAIC methodology. The goals of the study were achieved by using Six Sigma tools such as brainstorming sessions; root cause analysis, histograms, statistical tools such as control charts and process capability analysis.

Authors made an attempt to propose a conceptual framework for improving process dimensions in a SC network. It is observed from the results that selection of appropriate strategies for improving process performance based upon experiences, and use of statistical tools by cross-functional teams with an effective coordination, guarantees success. Metrics such as AOQL shows the maximum worst possible defective or defect rate for the AOQ. Process Z helps to know about sigma capability of the process.

The framework so developed is tested in a single company manufacturing batches of paint. The study has important implications for the industry since it tries to integrate SCM process dimensions which would help in successful implementation of SCM practices in firm by following the DMAIC process. The framework enables the practitioners to investigate the process and demonstrate improvements using DMAIC which makes use of statistical tools.

Although process dimensions related to SCM are critical to organization competitiveness, research so far has tended to focus on supply chain operations and reference model, balanced scorecard, total quality management, activity-based costing, just in time, etc., but in literature hardly any description of the SIPOC-DMAIC model to improve SCM process performance is provided. The use of statistics in DMAIC provides better insight into the process performance, and process control.

This study aims to identify and analyze how Internet of things (IoT) technology affects supply chain management (SCM) performance.

A systematic literature review was conducted (using Scopus, JSTOR, Emerald, ProQuest, Science Direct and Web of Science) covering a 20-year timeframe (2000–2020). Out of 2,572 papers identified, 171 peer-reviewed papers from the most important journals were selected. Content analysis was used following the Global Supply Chain Forum (GSCF) SCM framework.

Regarding the GSCF SCM framework processes, most IoT-based studies have addressed improving order fulfilment, manufacturing flow management and demand management processes. However, no studies addressing the Supplier relationship management process were identified, suggesting that IoT-based applications are perceived to add more value in downstream than upstream SCM processes. The importance of using enabling technologies to realize the potential of value generation of IoT was also revealed. Findings suggest new research avenues related to product development and commercialization process, the supplier relationship management process, the returns management process, servitization strategies, new SCM models and new business models.

The review encompasses only academic papers from journals considered the most relevant (retrieved from specific databases), using the impact factor as the quality criterion.

The findings can help business managers better understand the potential of IoT technology, such as the main applications identified in the literature and their impacts on SCM processes. Their importance in enabling technologies to leverage SCM performance is identified and the emerging SCM models/business models that IoT deployment can enable are highlighted.

This study contributes to filling a gap in the literature using a systematic literature review of how IoT technology affects SCM performance through content analysis, using an SCM framework to clarify which SCM processes are affected. Academic articles from the most important journals from 2000 to 2020 are identified.

The purpose of this paper is to develop a framework of sustainable service supply chain management (SCM) processes and practices in the multi-dimensional construct. It tries to provide a template for those sustainability general key practices that can be scheduled and budgeted in different service sectors.

To provide an applicable framework, its adaptability to most service settings should be ensured. In this regard, at first, the related literature on service SCM processes and sustainability practices of SCM are reviewed. To modify and confirm the extracted list, it is distributed to experts. After summarizing experts’ opinions, an initial list of the sustainable service supply chain practices (SSSCPs) is provided. Finally, the Fuzzy Delphi Method is applied to construct the framework for hospital supply chain (SC).

It suggests that the SSSCPs can be constructed in terms of seven major processes: managing the sustainable supplier, sustainable employee, sustainable customer, sustainable service performance, sustainable service operations, sustainable external relations, and sustainable knowledge, information and technology.

The framework can be employed as a template of sustainability practices for individual member firms of service SCs to identify and implement the key practices toward sustainability.

Reviewing the literature indicates that determining what is unique about the sustainable SCM in the service sector is immature. The paper is a preliminary effort to identify the general sustainability practices, in incorporating all sustainability dimensions in service SC processes.

Conceptual advancement underpins the progress of social marketing and countermarketing research but has been neglected in recent years. This paper aims to describe a new integrative framework of social countermarketing (SCM) concepts, techniques and defining characteristics, based on research tracing the conceptual evolution of the field and contrasting commercial (profit-focused) and social (public good-focused) countermarketing.

This paper undertook searches of electronic databases to examine how socially oriented countermarketing has been characterised in the research literature. Search terms included “countermarketing”, “critical marketing”, “de-marketing” and “counter-advertising”. Broad inclusion criteria allowed consideration of reports, conference and media outputs, as well as peer-reviewed articles published since 1971. Selected marketing journals were searched individually.

After screening of 408 initial search results, 80 studies were retained and full papers retrieved. Main ideas, definitions, scope, concepts and terms used were mapped to identify the common and distinguishing features, as well as higher-order organising themes. This led to the development of a new conceptual framework for SCM comprising eight domains.

The integrative conceptual framework offers a foundation for future research and SCM practice.

This paper introduces a framework designed to advance the conceptual basis of SCM research and practice with particular reference to the field of public health and disease prevention.

There is an acknowledged need to advance the supply chain management (SCM) learning agenda, with an emphasis on integration. This paper discuss an Australian university–industry collaboration aimed at accelerating SCM learning and offers some insight into models for building a forward-looking SCM.

The research is an exploratory case study of the industry–university collaboration, using grounded theory procedures. The primary data involved 25 interviews with key participants from the university and industry partners, and from the first cohort of students in the undergraduate program developed within the collaboration.

A theoretical framework for accelerating SCM learning was developed from the case study data; it comprises six constructs that influence, at strategic and operational levels, the acceleration of SCM learning. Four cross-construct concepts from the framework that form the cornerstones of accelerated learning are discussed in some detail.

The framework facilitates an examination of successes and shortfalls in the case study collaboration and generates a deeper understanding of critical elements for progressing the SCM learning agenda, and expanding SCM education. As with all qualitative research, the results may not be generalisable; testing the relevance and usefulness of the framework with the field will be an important next step.

As the framework identifies conditions, characteristics and capacities of organisations and individuals that support the acceleration of SCM learning, it can provide assistance in designing future university–industry collaborations for advancing SCM learning.

The framework identifies critical success factors for alliances and partnerships aimed at accelerating learning in an emerging body of knowledge such as SCM.

Generic deficiencies are identified in the theory generation of supply chain management (SCM). There is a crucial and challenging necessity to revise and extend the current theory generation of SCM. There is a need to move from atomistic theory generation towards holistic and cross‐disciplinary theory generation beyond the traditional boundaries of SCM. The holistic theory generation of SCM should consider the dynamics between the point‐of‐origin and the point‐of‐final‐consumption in marketing channels. Furthermore, adequate cross‐disciplinary concepts and frameworks beyond the current theory generation of SCM should be considered, which so far mainly come from economics, engineering, operation management, production management, and logistics. The incorporation of generic marketing concepts and frameworks in the theory generation of SCM contribute to enhance the holistic and cross‐disciplinary theory generation of SCM beyond atomistic considerations, thus eliminating some of the deficiencies of the current theory generation of SCM.

The purpose of this paper is to recognise the current state of big data analytics (BDA) on different organisational and supply chain management (SCM) levels in Brazilian firms. Specifically, the paper focuses on understanding BDA awareness in Brazilian firms and proposes a framework to analyse firms’ maturity in implementing BDA projects in logistics/SCM.

A survey on SCM levels of 1,000 firms was conducted via questionnaires. Of the 272 questionnaires received, 155 were considered valid, representing a 15.5 per cent response rate.

The knowledge of Brazilian firms regarding BDA, the difficulties and barriers to BDA project adoption, and the relationship between supply chain levels and BDA knowledge were identified. A framework was proposed for the adoption of BDA projects in SCM.

This study does not offer external validity due to restrictions for the generalisation of the results even in the Brazilian context, which stems from the conducted sampling. Future studies should improve the comprehension in this research field and focus on the impact of big data on supply chains or networks in emerging world regions, such as Latin America.

This paper provides insights for practitioners to develop activities involving big data and SCM, and proposes functional and consistent guidance through the BDA-SCM triangle framework as an additional tool in the implementation of BDA projects in the SCM context.

This study is the first to analyse BDA on different organisational and SCM levels in emerging countries, offering instrumentalisation for BDA-SCM projects.