Supply Chain Management Journal最新文献

Purpose

Business strategy issues increasingly concern value realized from supply resources. However, how supply resources are valorized by managerial factions in a strategic issue setting is not sufficiently explored. In organizations operating in complex business contexts, several strategic agendas and supply value perceptions typically coexist. This study aims to explore the process of developing corporate attention towards supply-related strategic issues and how it links to sourcing strategy.

Design/methodology/approach

An explorative longitudinal case study within the food industry is conducted. Data are collected in a four year period. Working physically from the case company made it possible to be close to the company’s actors. The first author participated in 26 formal team meetings ranging from 1.5 h to 3 days long, conducted 28 interviews across managerial levels and functions and participated in informal verbal and written communications.

Findings

This study explores strategizing efforts of organizations and scrutinize consequences of strategic ambiguity for sourcing strategy and supply resources. Furthermore, this study outlines implications for management and theory development.

Research limitations/implications

Since this paper is based on an in-depth single case study, its findings are not empirically generalizable.

Practical implications

This paper suggests that managers should pay stronger attention to constituents’ valuation of supply resources, and how they fit with the different strategic agendas within the firm. By doing so, a more comprehensive supply resource mobilization is possible.

Originality/value

Business strategy research increasingly focuses on the value of supply resources for a buying firm’s business strategy (Kotabe and Murray 2018; Lee and Rammohan 2017; Schiele, Calvi, and Gibbert 2012). In a context where the value obtained from sourcing is gaining increased importance, more organizations link supply policies with corporate strategic goals (Andersen, Ellegaard, and Kragh 2016; Hesping and Schiele 2015; Pardo et al., 2011). However, existing supply chain research does not incorporate an organization’s strategizing efforts, when considering supply resource valuation, and how this can be a source of ambiguity to sourcing strategy. The is the paper’s contribution.

Purpose

The aim of this paper is to enhance understanding of the use of sourcing teams (STs) by organisations in their procurement and supply chain management. The paper achieves this by exploring, within the context of the supply chain directorate of a global aerospace manufacturing company (GAMC), both the relationship between sourcing teamwork effectiveness (TE) and sourcing task-work effectiveness (TA) and the relationship between individual team member knowledge, skills and abilities (KSAs) and TE.

Design/methodology/approach

The authors develop a theoretical model positing positive links between both KSAs and TE and TE and TA. The model is empirically validated using partial least squares structural equation modelling in a survey of 108 ST members from a GAMC.

Findings

The authors identify that, within GAMC, four of five KSAs drive TE and further discover the direct effects of TE on improved TA. Additionally, the authors observe within GAMC the indirect effects of KSAs on TA cascading through TE.

Research limitations/implications

Limitations include the use of a single firm and self-report measures for data collection. In spite of this, the paper has numerous research implications. Previous research on STs has combined factors related to TE and TA. In this paper, TE and TA were disaggregated, and the relationships between them were explored. The relationships were found to be positive within GAMC, a finding that strengthens the evidence base supporting the use of STs by organisations in their procurement and supply chain management. In addition, the paper also strengthened the evidence base regarding the importance of KSAs to TE, which complements existing research highlighting the importance of team-level factors and individual technical attributes.

Practical implications

The findings from GAMC suggest that executives/managers should take an individual as well as a team-level perspective when developing STs and should consider KSAs as well as technical knowledge when judging individuals’ suitability for inclusion within an ST. There are established KSA tests in the literature that could be used by managers for this task. The findings also inform executives/managers that TE matters for TA and needs attention and investment, especially where sourcing tasks concern high-value areas and/or critical incidents within supply chains.

Originality/value

To the best of the authors’ knowledge, this is the first paper to explore the relationship between TE and TA. Establishing that this relationship is a positive one provides critically important evidence regarding the efficacy of STs, which are widely used within procurement and supply chain management. It is also a rare study looking at TE from the perspective of individual team member K

Purpose

Disruptive events caused by cyber incidents, such as supply chain (SC) cyber incidents, can affect firms’ SC operations on a large scale, causing disruptions in material, information and financial flows and impacting the availability, integrity and confidentiality of SC assets. While SC resilience (SCRES) research has received much attention in recent years, the purpose of this study is to investigate specific capabilities for building SCRES to cyber risks. Based on a nuanced understanding of SC cyber risk characteristics, this study explores how to build SC cyber resilience (SCCR) using the perspective of dynamic capability (DC) theory.

Design/methodology/approach

Based on 79 in-depth interviews, this qualitative study examines 28 firms representing 4 SCs in Central Europe. The researchers interpret data from semistructured interviews and secondary data using the DC perspective, which covers sensing, seizing and transforming.

Findings

The authors identify SCRES capabilities, in general, and SCCR-specific capabilities that form the basis for the realignment of DCs for addressing cyber risks in SCs. The authors argue that SCRES capabilities should, in general, be combined with specific capabilities for SCCR to deal with SC cyber risks. Based on these findings, 10 propositions for future research are provided.

Practical implications

Practitioners should collaborate specifically to address cyber threats and risks in SCs, integrate new SC partners and use new approaches. Furthermore, this study shows that cyber risks need to be treated differently from traditional SC risks.

Originality/value

This empirical study enriches the SC management literature by examining SCRES to cyber risks through the insightful lens of DCs. It identifies DCs for building SCCR, makes several managerial contributions and is among the few that apply the DC approach to address specific SC risks.

Purpose

This research studies circularity brokers, the economic actors facilitating the transition of companies towards circular operations. The purpose of this paper is to extend the understanding of “circular brokerage”, deriving from the concept of brokerage existing in network theory and applied to the specific context of the circular supply network. Recent papers have been devoted to particular facets of circular brokerage, with studies dedicated to circular incubators or platforms. This study proposes how these new actors can have a significant role in facilitating circular economy in general.

Design/methodology/approach

The methodology is qualitative using 17 semi-directed interviews with circularity brokers. The theoretical approach draws on the network view and builds on recent developments of the theory in the context of circular economy.

Findings

Circularity brokers support organisations and their networks, helping them to overcome the problems that stand in their way of adopting circular economy at different levels (micro, meso and macro). To do this, circularity brokers deploy a wide range of activities involving technical, methodological and relational skills. The study extends previous research by elaborating on the relationship between the position these actors occupy within their network and the benefits they can bring in terms of circularity.

Originality/value

This research provides evidence on the role of circularity brokers and moves the state of knowledge from a specific sector or cases to other sectors and a broader role beyond network position specifics. Network theory, with the constructs of broker exchanges and the influence of embeddedness, is used to develop theoretical implications.

Purpose

There is a growing body of conceptual work considering the potential of AI in supply chain and procurement, and there is great interest in AI among managers. But, according to a recent study, digital strategies for procurement are often missing or not satisfactory. Literature offers conflicting guidance on possible adoption areas for AI in core procurement processes. Given the need for better digital strategies for procurement and the need to further develop the understanding of adoption potential, the purpose of this paper is to explore actual adoption levels, experienced benefits, readiness levels and barriers to implementation in industry. This informs nuanced, not hyped, managerial consideration and identifies further research opportunities.

Design/methodology/approach

Leveraging items used in literature to study adoption of other technologies, the authors conduct the first empirical exploration of actual adoption levels of AI in procurement. The authors do so by collecting survey responses in three manager workshops, and the authors use the workshops to seek manager input in the interpretation of findings and the identification of implications for managers and researchers.

Findings

There appears to be less consideration given to AI in procurement than interest in the topic might imply. Adoption levels are generally low, implying that there is a lot of room for the development of consideration, use cases and possible pilots by managers and researchers. The authors find procurement benefits of AI adoption to be broader than costs and productivity alone, including visibility and innovation. But, readiness appears to be at relatively low levels with factors commonly considered in literature, such as executive support and willingness to invest, less relevant than less widely considered elements such as human sense making and supplier readiness.

Originality/value

This first empirical exploration moves past conceptualization and the study of potential adoption into the study of actual adoption levels in different procurement core processes. The authors expand the consideration of readiness by including additional items of human sense making as called for in literature. The authors also include and develop supplier readiness consideration, which is often missing from research. With the help of participating managers, the authors are able to develop a more comprehensive framework for the consideration of AI adoption. This can help bring nuance, not hype, to consideration and provides a rich portfolio of research items and constructs to further explore.

Purpose

This study aims to investigate the evolution of terminology in supply chain management (SCM) and its implications for the field’s strategic orientation. It also aims to understand how SCM terms adapt to interdisciplinary contexts, reflecting shifts in theoretical and practical approaches within the discipline.

Design/methodology/approach

This study uses a systematic literature review and analyzes over 3,500 unique SCM-related terms extracted from approximately 33,000 abstracts. By using Descending Hierarchical Classification and factor analysis, the research methodologically identifies key shifts in terminology and discerns underlying patterns.

Findings

This study categorizes terminological variations in SCM into three main clusters: product–agent, performance objective orientation and structure. These variations signal not only linguistic changes but also strategic shifts in SCM understanding and practice. Notably, terms such as “green,” “sustainable” and “circular” supply chains have emerged in response to evolving internal and external pressures and trends. In addition, this paper offers a nuanced understanding of these terminological adaptations, proposing a reference framework for navigating SCM’s evolving lexicon and highlighting global usage and geographical and cultural nuances in SCM discourse.

Research limitations/implications

This paper presents a reference framework that complements existing SCM definitions, fostering a shared understanding of SCM variations on a global scale. This framework enhances cultural sensitivity within the field and underscores SCM’s adaptability and flexibility. These insights offer a nuanced view of SCM dynamics, benefiting researchers and practitioners alike. Beyond terminology, this study sheds light on the interplay between language and SCM strategy, providing a valuable perspective for navigating the evolving SCM landscape. The study’s scope is constrained by the analyzed abstracts. Future research could broaden this analysis to encompass more SCM literature or delve deeper into the implications of terminological changes.

Practical implications

This study offers practitioners a reference framework for navigating the evolving lexicon of SCM. This framework aids in understanding the strategic implications of terminological changes, enhancing clarity and context in both academic and practical applications.

Social implications

By acknowledging global usage and variations, the research underscores the impact of geographical and cultural nuances on SCM discourse. This global perspective enriches the understanding of SCM as a dynamic and culturally sensitive field.

Originality/value

This research is novel in its extensive and systematic exploration

Purpose

This study aims to analyze the factors that drive or prevent interorganizational data sharing in the context of digital transformation (DT). Data sharing appears as a precondition for companies to capture emerging opportunities in supply chain management and for product-related servitization; however, there are ongoing concerns, and data are often perceived as the “new oil.” It is thus important to gain a better understanding of the determinants of firms’ decisions.

Design/methodology/approach

The authors develop an embedded case study analysis involving 16 firms within an extended supply network in the automotive industry. The authors focus on the peculiarities of the new context, as opposed to elements highlighted by research prior to the advent of the latest technologies. Abductive reasoning is applied to the theoretical foundations of the resource-based view, resource dependence theory and the complex adaptive systems perspective.

Findings

Data sharing is largely underpinned by factors identified prior to DT, such as data specificity, dependence dynamics and protection mechanisms and the dynamism of the business context. DT, however, can influence the extent of data sharing. New factors concern complementarities whenever data are pooled from different sources and digital platforms, as well as different forms of data ownership protection.

Originality/value

This study stresses that data sharing in the context of DT can be explained through established theoretical lenses, providing the integration of elements accounting for new technological opportunities.

Purpose

This paper aims to explore the significance of resource sharing in business to capture new market opportunities and securing competitive advantages. Firms enter strategic alliances (SAs), especially for designing new products and to overcome challenges in today’s fast changing environment. Research projects have dealt with the creation of SAs, however without concrete referencing the impact on selected supply chain resources. Furthermore, academia rather focused on elaborating the advantages and disadvantages of SAs and how this affects structural changes in the organization than examining the effects on supply chain complexity and performance.

Design/methodology/approach

The authors collected and triangulated a multi-industry data set containing primary data coming from more than 200 experts in the field of supply chain management along and secondary data coming from Refinitiv’s joint ventures (JVs) and SA database and IR solutions’ database for annual reports. The data is evaluated in three empirical settings using binomial testing and structural equation modeling.

Findings

The results show that nonequity SAs and JVs have varying degrees of impact on supply chain resources due to differences in the scope of the partnership. This has a negative impact on the complexity of the supply chain, with the creation of a JV leading to greater complexity than the creation of a nonequity SA. Furthermore, the findings prove that complexity negatively impacts overall supply chain performance. In addition, this study elaborates that increased management capabilities are needed to exploit the potentials of SAs and sheds light on hurdles that must be overcome within the supply network when forming a partnership. Finally, the authors give practical implications on how organizations can cope with increasing complexity to lower the risk of poor supply chain performance.

Originality/value

This study investigates occurring challenges when establishing nonequity SAs or JVs and how this affects their supply chain by examining supply networks in terms of complexity and performance.

Purpose

This study aims to examine the effect of Industry 4.0 technology on resilience in established cross-border supply chain(s) (SC).

Design/methodology/approach

A literature review provides insight into the resilience capabilities of cross-border SC. The research uses a case study of operational international SC: the producers, importers, logistics companies and UK Government (UKG) departments. Semi-structured interviews determine the resilience capabilities and approaches of participants within cross-border SC and how implementing an Industry 4.0 Internet of Things (IoT) and capitals Distributed Ledger (blockchain) based technology platform changes SC resilience capabilities and approaches.

Findings

A blockchain-based platform introduces common assured data, reducing data duplication. When combined with IoT technology, the platform improves end-to-end SC visibility and information sharing. Industry 4.0 technology builds collaboration, trust, improved agility, adaptability and integration. It enables common resilience capabilities and approaches that reduce the de-coupling between government agencies and participants of cross-border SC.

Research limitations/implications

The case study presents challenges specific to UKG’s customs border operations; research needs to be repeated in different contexts to confirm findings are generalisable.

Practical implications

Operational SC and UKG customs and excise departments must align their resilience strategies to gain full advantage of Industry 4.0 technologies.

Originality/value

Case study research shows how Industry 4.0 technology reduces the de-coupling between the SC and UKG, enhancing common resilience capabilities within established cross-border operations. Improved information sharing and SC visibility provided by IoT and blockchain technologies support the development of resilience in established cross-border SC and enhance interactions with UKG at the customs border.

Purpose

Firms are increasingly pressured to comply with mandatory supply chain transparency (SCT) regulations. Drawing on information processing theory (IPT), this study aims to show how blockchain technology can address information uncertainty and equivocality in assuring regulatory compliance in an interorganizational network (ION).

Design/methodology/approach

IPT is applied in a single case study of an ION in the mining industry that aimed to implement blockchain to address mandatory SCT regulations. The authors build on a rich proprietary data set consisting of interviews and substantial secondary material from actors along the supply chain.

Findings

The case shows that blockchain creates equality between actors, enables compliance and enhances efficiency in an ION, reducing information uncertainty and equivocality arising from conflict minerals regulation. The system promotes engagement and data sharing between parties while protecting commercial sensitive information. The lack of central authority prevents larger partners from taking control. The system provides mineral provenance and a regulation-compliant record. System cost analysis shows that the system is efficient as it is inexpensive relative to volumes and values of metals transacted. Issues were identified related to collecting richer human rights data for assurance and compliance with due diligence regulations.

Originality/value

The authors provide some of the first evidence in the operations and supply chain management literature of the specific architecture, costs and limitations of using blockchain for SCT. Using an IPT lens in an ION setting, the authors demonstrate how blockchain-based systems can address two key IPT challenges: environmental uncertainty and equivocality.