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The purpose of this paper is to present the results of a research for developing a standard to implement a process management system in a whole supply chain.

To gain this aim, the research has been developed in two parts. The quality management part has the objective to select the reference model to develop the standard. The supply chain management (SCM) part has, instead, the objective to select the drivers and the main processes that the standard have to manage. The evaluation of the results of these parts has permitted to define the proposed standard.

A modified interpretation of ISO 9001:2000 norm is proposed permitting: to improve the ISO 9001 standard to the general requirements for a whole process approach; to extend and to apply the ISO 9001 concepts, that address quality aspects within a single organization, to a whole supply chain; and to facilitate the introduction of the modern principles and techniques of SCM. Finally, the standard to implement a management system for a whole supply chain is introduced through the identification of the main supply chain processes and drivers.

The standard proposed is a specific for a generic supply chain. Further studies will be necessary to: customize the standard to appropriate productive sectors and validate the appropriate content through real applications.

The standard proposed is a guide line to implement a management system in a supply chain and, for this aim, it can be applied in a generic supply chain.

The standard proposed is an original tool to improve the collaboration and processes integration between the partners into a supply chain and this scope can be the actual value of the presented methodology.

Successful supply chain management requires a change from managing individual functions to integrating activities into the key supply chain process. The advantages far outweigh the effort involved in accessing the final product; a seamless supply chain that operates fluidly and benefits the entire chain. In this paper, the merit of supply chain and B2B is discussed, and the impacts on each other identified. With the groundwork built, the concept of B2B marketplaces as the participating units in a supply chain process in order to enhance the business process is employed. Virtual enterprises can use this extended form of supply chain as its building‐blocks.

This study aims to identify the trending topics, emerging themes and future research directions in supply chain management (SCM) through multiple source of data. The insights would be of use to academics, practitioners and policymakers to leverage latest developments in addressing current and future challenges.

This study uses a multiple source of data such as published literature and social media data including supply chain blogs and forums contents on business-to-business (B2B) firms to identify trending topics, emerging themes and future research directions in SCM. Topic modeling, a machine learning technique, is used to derive the topics and themes. Examining supply chain blogs and forums offer a valuable perspective on current issues and challenges faced by B2B firms. By analyzing the content of these online discussions, the study identifies emerging themes and topics of interest to practitioners and researchers.

The study synthesizes 1,648 published articles and more than 1.3 lakh tweets, discussions and expert views from social media, including various blogs and supply chain forums, and identifies six themes, of which three are trending, and the other three are emerging themes in the supply chain. Rather than aggregate implications, the study integrates findings from two databases and proposes a framework encompassing the drivers, processes and impacts on each theme and derives promising avenues for future research.

Prior literature has majorly used published research articles and reports as a primary source of information to identify the trending theme and emerging topics. To the best of the authors’ knowledge, this is the first study of its kind to examine the potential value of information from social media, such as blogs, websites, forums and published literature to discover new supply chain trends and themes related to B2B firms and derive encouraging possibilities for future research.

Supply chain resilience (SCR) has attracted much attention in the context of the high uncertainty caused by the coronavirus disease 2019 (COVID-19), local regional conflicts and natural disasters. Based on information processing theory (IPT), this study investigates the role of supply chain information processing capability in enhancing SCR through supply chain governance (SCG), under different conditions of environmental uncertainty.

The hypothetical model is tested by using hierarchical regression on the primary samples collected from the Chinese manufacturing industry.

The results indicate that supply chain information processing capability has a significant positive effect on SCR. Also, SCG plays a mediating role between supply chain information processing capability and SCR. Furthermore, environmental uncertainty positively moderates the effect of supply chain information acquisition and supply chain information analysis on relational governance. However, environmental uncertainty only positively moderates the effect of supply chain information analysis on contractual governance.

This is the first study to explain the effect of information processing capability on SCR from the supply chain perspective, while also exploring the mediating role of SCG between SCR and supply chain information processing capacity, based on IPT.

Supply chain resilience and knowledge management (KM) processes have received increasing attention from researchers and practitioners. Nevertheless, previous studies often treat the two streams of literature independently. Drawing on the knowledge-based theory, this study aims to reconcile these two different streams of literature and examine how and when KM processes influence supply chain resilience.

This research develops a conceptual model to test a sample of data from 203 Chinese manufacturing firms using a structural equation modeling method. Specifically, the current study empirically examines how KM processes affect different forms of supply chain resilience (supply chain readiness, responsiveness and recovery) and examines the moderating effect of blockchain technology adaptation and organizational inertia on the relationship between KM processes and supply chain resilience.

The findings show that KM processes positively affect three dimensions of supply chain resilience, i.e., supply chain readiness, responsiveness and recovery. Besides, the study reveals that blockchain technology adoption positively moderates the relationships between KM processes and supply chain resilience, whereas organizational inertia negatively moderates these above relationships.

This research linked the two research areas of supply chain resilience and KM processes, further bridging the gap in the research exploration of KM in the supply chain field. Next, this study contributes to supply chain resilience research by investigating how KM systems positively impact supply chain readiness, responsiveness and recovery. In addition, this study found a moderating effect of blockchain technology adaption and organizational inertia on the relationship between KM processes and supply chain resilience. These findings provide a reference for Chinese manufacturing firms to strengthen supply chain resilience, achieve secure supply chain operations and gain a competitive advantage in the supply chain. This studys’findings advance the understanding of supply chain resilience and provide practical implications for supply chain managers.

In light of the current challenges in the business environment, firms, particularly those involved in supply chains, must foster innovation. In this context, the current study employs the theory of dynamic organizational capabilities (DOCs) to track supply chain learning capabilities (SCLCs) and independently uncover their relationship to innovation at both the product and process levels. Similarly, the study intends to investigate the influence of technological turbulence (TT) on these relationships as a moderating variable.

The data were gathered using in-person interviews with 189 CEOs with some supply chain management proficiency from small and medium-sized enterprises (SMEs) in the industrial zones of eastern Egypt. The study used a survey approach to collect data, and the SEM-PLS technique was utilized to analyze the data.

Study findings revealed that SCLCs positively affect product and process innovation. In addition, TT positively moderates the relationship between SCLCs and product and process innovation, except for risk-taking capability. Further theoretical and practical implications are derived from the study findings.

This research adds to the knowledge of the dynamic capabilities theory (DCT), which affects how firms interact with their external environment. Studying learning capabilities are employed as essential competencies to counterbalance high levels of TT in the external environment in terms of innovative performance and vice versa if firms do not attempt to strengthen their dynamic learning capabilities in supply chains. In addition, this study contributes to the literature by studying learning capabilities from the external perspective, where SCLCs are being developed as a new variable to improve innovation.

This paper aims to contribute to the debate about the value of blockchain for supply chain management by assessing empirical evidence on the relationship between blockchain and supply chain performance.

The authors conducted a structured review of the academic literature to identify and assess papers providing empirical insight on operational blockchain applications. The authors complement the findings from this review with primary empirical data from 11 interviews with blockchain providers, users and experts involved in four recent projects.

The paper presents an integrated research framework that illustrates the impact of blockchain on supply chain performance. The findings highlight that blockchain can affect supply chain performance directly – via one of its core technological features – and indirectly via the broader business project through which blockchain technology is implemented.

Insights from this paper should provide managers with a more nuanced understanding of how blockchain technology can be leveraged to address important supply chain management challenges.

Prior research addressing the relationship between blockchain and supply chain performance mostly discusses potential performance effects of blockchain, presents individual blockchain applications and/or provides little explanation for how the core technological features of blockchain affect supply chain performance. This paper systematically assesses the ways in which blockchain can affect supply chain performance. In doing so, it goes beyond the initial hype around blockchain technology while countering some of the more recent critiques.

Despite the increasing interests in supply chain management (SCM) within academy and industrial environment, there is still a lack of academic literature concerning topics such as methodologies to guide and support supply chain integration. The paper aims to discuss these issues.

This article presents the application of a diagnosis method in a Brazilian company from the sugar and ethanol industry to identify the level of supply chain integration. The diagnosis method is based on Cooper, Lambert and Pagh reference model for SCM. The method involves nine referential axes established from the eighth key business processes of the reference model.

It was pre-tested and supplemented with findings from interviews with academics and practitioners. Additionally, an illustration application was conducted in three relevant companies.

The application results were useful for refining the method that can be considered as a diagnosis instrument to permit companies to evaluate its supply chain integration.

The purpose of this paper is to define and explore the concept of financial supply chain strategy in a global business environment. The paper aims to illustrate the concepts with a detailed case study of Motorola's global financial supply chain.

This is a detailed, longitudinal case study analysis of a focal organisation and its economic partners in a financial supply chain. The case study combines qualitative analysis of the strategy evolution with extensive time‐series data and quantitative analyses of the performance of the financial supply chain.

The financial supply chain is an integral component of Motorola's overall supply chain management strategy. Physical product, information systems and financial flows are closely aligned with each other throughout the supply chain incorporating Motorola, its customers, suppliers and banks. The overall trend is towards the development of an integrated global financial supply chain in which cash flows mirror product flows. Motorola shares financial data with its suppliers as part of a cooperative strategy that generates cost savings for Motorola and its suppliers in areas such as foreign exchange and cash balances. The cooperative strategy also improves the quality of the payments process measured by six sigma techniques and produces strategic benefits such as risk reduction for the supply chain as a whole in areas such as foreign exchange and payments. A strategy of this type is only possible by taking a global perspective of the financial supply chain.

The development of financial supply chains has not been fully addressed in the supply chain management literature. This paper defines this relatively new topic area and explains its significance in its own right, and also in terms of the inter‐relationships between finance and manufacturing supply chains. A research agenda for financial supply chains is proposed that describes a range of new research opportunities in this area.

The development of integrated financial supply chains will lead to significant savings in terms of funding, banking and administrative costs associated with treasury and payment activities. The implementation and nature of the strategic change also highlight important strategic planning and implementation issues associated with financial supply chains.

The strategic importance of financial supply chains for business and academic researchers is demonstrated through the definition of this topic and the application of a research framework to a detailed study of Motorola's global financial supply chain using time‐series data of strategy evolution and financial supply chain performance. The research findings and comparison with theory support the assertion that this is a relatively new and unexplored problem area that is of direct relevance and interest to researchers in supply chain management.

The global business environment combined with increasing societal expectations of sustainable business practices challenges firms with a host of emerging risk factors. As such, firms seek to increase supply chain transparency, enabling them to monitor operational activities and manage supply chain risks. Drawing on organizational information processing theory, the purpose of this paper is to examine how supply chain analytics (SCA) capabilities support operational supply chain transparency.

Using data from 477 survey participants, hypotheses are tested using seemingly unrelated regression.

The results reveal that: analytics capability in support of planning functions indirectly affects organizational supply chain transparency (OSCT) via SCA capabilities in source, make, and deliver functions; SCA capabilities in source, make, and deliver positively influence OSCT; and supply uncertainty moderates the relationship between SCA capabilities in make and OSCT.

This research suffers from limitations inherent in all survey-based research. Nonetheless, the authors found convincing evidence that suggests firms can employ SCA capabilities to meet transparency requirements.

The findings inform design of SCA systems, noting the importance of linking planning tools with tools that support source, make, and deliver functions. The research also shows how transparency can be increased via employing SCA capabilities.

This is one of first studies to empirically demonstrate that SCA capabilities can be used to increase supply chain transparency. The research also advances organizational information processing theory by illustrating an analytics capability paradox, where increased levels of certain analytics capabilities can become counterproductive in the face of supplier uncertainty.