Guest editorialEmerging research and future pathways in digital supply chain governance

Agility and digitalization: why strategic agility is a success factor for mastering digitalization – evidence from Industry 4.0 implementations across a supply chain

Purpose

This paper addresses the emergence of strategic agility as adaptive capability to face the need to adapt to a constantly changing environment. Special emphasis is paid to governance mechanisms as a microfoundation of dynamic capabilities, investigating the dynamics and outcome in regards to the digitalization of supply chains and its socio-economic relations of its members.

Design/methodology/approach

A multiple-case study method is applied to explain the impact of a digitalization initiative in the form of an I4.0 implementation in a supply chain context. Building on qualitative in-depth interviews of experts in managerial positions, 16 cases from the manufacturing industry involving an I4.0 implementation across the supply chain were analyzed. Based on a conceptual design science approach, the CIMO logic (context, intervention, mechanisms and outcome) framework is used to investigate the interplay between agility as a dynamic capability and governance mechanisms.

Findings

The studied cases demonstrate an intensification of synergistic combinations of inter-firm resources to manage digitalization across the supply chain (SC). With the implementation of I4.0, competitive advantage along the SC takes higher priority over the competitive advantage in the individual or dyadic perspective. Strategic agility as a dynamic capability to cope with and adapt to the changing environment is hereby crucial emphasizing relational SC governance (SCG) as essential as a microfoundation to adjust the structure and management of SCs. Relationships, which allow competitive advantage as a SC balance out traditional power mechanisms within the SC hierarchy. Trust, collaboration and flexibility, aligned with common incentives in generating competitive advantages enable the SCs to mitigate uncertainty and risk while preventing opportunistic behavior.

Practical implications

The study offers SCM managers in-depth insights into strategic agility and how to address the recent challenge of digitalization successfully. Identifying crucial dynamics within SCG mechanisms based on first-hand use cases, practical success factors for implementing I4.0 to optimize effectiveness and efficiency can be derived how to structure and manage future SCs.

Originality/value

This paper contributes to the first insights examining the implications of digitalization and the role of strategic agility as a capability to adapt. Investigating the microfoundation of governance within this capability, this research provides insights on the socio-economic level, while discussing specific mechanisms how relationships of SCs evolve proposing relevant insights for future research.

Coordinating multi-level collective action: how intermediaries and digital governance can help supply chains tackle grand challenges

Purpose

Driven by increasing concerns for sustainable development and digitalization, intermediaries have emerged as relevant actors who can help supply chains tackle grand societal challenges. They can also trigger significant changes in structure, shape and governance models of supply chains. The goal of this research is to advance the understanding of supply chain intermediation and digital governance as coordinating mechanisms for enabling multi-level collective action to address the world's grand challenges.

Design/methodology/approach

This is a conceptual research paper that uses a vignette approach, where real examples are described to help question and expand theoretical insights and provide a basis for future research. The examples are drawn from past and ongoing extensive primary and secondary data collection efforts in diverse types of supply chains.

Findings

Three contexts are proposed to illustrate how intermediaries and digital governance can play a key role in helping supply chains tackle grand challenges. The first and second context highlight the differences between material and support flow intermediaries in a triadic supply chain relationship. The third context illustrates intermediation within a multi-level network which can be industry-specific or span across industries. The three contexts are evaluated on the level of intervention, the focus on material or support flows, and traditional or digital governance. The specific Sustainable Development Goals which can be tackled through intermediary intervention are also indicated.

Originality/value

Intermediaries are often hidden actors in global supply chains and have received limited attention in the academic literature. The conceptual foundation provided in this manuscript serves as the basis for future research opportunities. Three main avenues for further research in this domain are proposed: (1) novel forms of intermediation beyond economic and transactional arrangements; (2) novel forms of digital governance; and (3) translating multi-level collective action into sustainable development outcomes. Research on intermediation driven by sustainable development and digitalization trends can spur empirical advances in sustainable supply chain and operations management with important societal impact.

Leveraging digital and relational governance mechanisms in developing trusting supply chain relationships: the interplay between blockchain and norm of solidarity

Purpose

Drawing on the signaling theory and the relational exchange theory, this study investigates how buyer–supplier trust is influenced through the congruence and incongruence between blockchain and norm of solidarity. The moderating role of technology uncertainty is further examined.

Design/methodology/approach

Using a survey data of 110 Chinese firms, this study empirically tests not only the combined effect of blockchain and norm of solidarity on trust, but also how this combined effect is moderated by technology uncertainty. The proposed hypotheses are tested using the polynomial regression analysis and the response surface methodology.

Findings

The results suggest that trust increases along with an increasing congruence between blockchain and norm or solidarity, but in a diminishing rate (i.e. an inverted U-shaped relationship). Simultaneously, incongruence between blockchain and norm of solidarity can also guarantee sufficient trust (i.e. a U-shaped relationship). Moreover, technology uncertainty overturns the inverted U-shaped relationship between blockchain and norm of solidarity congruence on trust into a U-shaped relationship and nullifies the U-shaped relationship between blockchain and norm of solidarity incongruence on trust.

Originality/value

This study enriches supply chain governance literature by introducing the emerging blockchain governance and examining the blockchain governance's interplay with a conventional relational norm. The study emphasizes that the combined effects of these two are quite complex. Blockchain and norm of solidarity can offset each other’s limitations when both are at low to moderate levels. But simultaneous pursuit of both high blockchain and norm has only limited marginal benefits. Furthermore, the study also highlights the importance of technology uncertainty under which the combined effects between the two governance mechanisms vary. Collectively, the results provide nuanced insights into the design of supply chain governance portfolios in the digital era.

Artificial intelligence and blockchain implementation in supply chains: a pathway to sustainability and data monetisation?

Digitalisation is expected to transform end-to-end supply chain operations by leveraging the technical capabilities of advanced technology applications. Notwithstanding the operations-wise merits associated with the implementation of digital technologies, individually, their combined effect has been overlooked owing to limited real-world evidence. In this regard, this research explores the joint implementation of Artificial Intelligence (AI) and Blockchain Technology (BCT) in supply chains for extending operations performance boundaries and fostering sustainable development and data monetisation. Specifically, this study empirically studied the tuna fish supply chain in Thailand to identify respective end-to-end operations, observe material and data-handling processes, and envision the implementation of AI and BCT. Therefore, we first mapped the business processes and the system-level interactions to understand the governing material, data, and information flows that could be facilitated through the combined implementation of AI and BCT in the respective supply chain. The mapping results illustrate the central role of AI and BCT in digital supply chains' management, while the associated sustainability and data monetisation impact depends on the parameters and objectives set by the involved system stakeholders. Afterwards, we proposed a unified framework that captures the key data elements that need to be digitally handled in AI and BCT enabled food supply chains for driving value delivery. Overall, the empirically-driven modelling approach is anticipated to support academics and practitioners' decision-making in studying and introducing digital interventions toward sustainability and data monetisation.

Supply Chain Social Sustainability: Unveiling Focal Firm’s Archetypes under the Lens of Stakeholder and Contingency Theory

Sustainable supply chain management (SSCM) has received increasing attention from scholars and practitioners. Despite its importance, we know little about critical aspects of it, as some important gaps are highlighted in the SSCM literature: deepening social dimension, exploring governance mechanisms, and strengthening theoretical development. This research aims to analyze how stakeholder salience and contingency factors influence the extent to which focal firms implement governance mechanisms to address social issues in supply chains. We conduct a multiple case study in six focal firms operating in Brazil. We intend to reduce the shortage of empirical evidence on emerging economies by focusing on a leading emerging country. This study contributes to the literature in three main aspects: (1) We classify social issues into central, peripheral, and remote, based on their priority within SSCM practices from emerging economy cases; (2) We outline three archetypes of social-SCM, namely elementary, selective, and extensive, to reflect the extent that focal firms incorporate social issues within their practices; (3) We also provide a typology to assess the extent to which focal firms address social issues, therefore contributing to reducing the gap regarding the social dimension within SSCM scholarship, combining the stakeholder theory and contingency theory.