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The paper seeks to understand and analyse how integration changes in one supply chain are influenced by the overlap between chains

The paper discusses the concepts of supply chain, firm network, overlap and integration. It takes a dynamic perspective focusing on continuing processes of change in the degree of integration within and between networks. The three examples are based on more than 70 interviews over a long period of time of firms involved in the transportation, automotive and construction industries.

The paper finds that the overlap between supply chains in terms of actors, resources and activities could seriously delay, hinder and increase costs to the process when changing the degree of integration in one chain. Therefore, supply chain myopia might lead to an increase in the total costs of a firm. Further, there is a trade‐off between the costs of integration in the focal chain and increasing costs arising from decreased integration in overlapping supply chains. Failure to consider the negative effects and the resistance caused by delays and dissolving relationships within overlapping supply chains can be detrimental. The overlap between chains can be both positive and negative, and can be reversed over time.

The research is limited to three examples and the interaction between two supply chains in each case. Since interdependencies might exist between several supply chains, the effects of change could have implications for more than one other supply chain.

When changing existing or developing supply chains for new businesses, firms need to take into consideration the effects and reactions of other chains. Integration between two chains might facilitate the development of business but may also actually hinder its future development.

The interdependencies between supply chains imply that strong pressure towards supply chain integration focusing on one chain, in literature and practice, has to be questioned for the single firm. Another specific value is the importance of existing chains for the development of new businesses.

This study aims to explore the spillover effects of supply chain corruption practices (SCCPs) on stock returns along the supply chain and within the industry. Specifically, it investigates how SCCPs affect the stock returns of corrupt firms' bystander supply chain partners and industry peers, both of which are not involved in the SCCPs.

The authors employ the event study methodology to quantify SCCPs' spillover effects in terms of abnormal stock returns. The analysis is based on 117 SCCPs occurring in China between 2014 and 2021.

The event study results show that SCCPs have negative effects on the stock returns of corrupt firms' bystander supply chain partners. Such negative effects are more pronounced for bystander buyers than bystander suppliers. However, SCCPs do not have a significant impact on the stock returns of corrupt firms' industry peers. Additional analysis further suggests that SCCPs are more likely to affect the stock returns of domestic rather than overseas bystander supply chain partners.

This study is the first attempt to thoroughly examine the spillover effects of SCCPs along the supply chain and within the industry, advancing the understanding of the financial consequences of SCCPs and providing important implications for future research and practices related to supply chain corruption.

This paper aims to combine the social–technical systems and social exchange theories with the resource-based view of the firm, to investigate how business-to-business (B2B) service firms manage their social and technical resources to manage customer relationships.

An online survey-based study with 321 managers working in Australian small and medium (SME) firms is used to test hypotheses about the sequential and substitutional impact of four social and technical resources (service quality, satisfaction, trust and commitment) on customer loyalty, using both offline and online platforms.

The findings show that both social and technical chains of effects are viable channels for B2B service firms to build customer loyalty; however, mixing of both social and technical resources results in the weakening of both these chains.

The results based on B2B service relationships between Australian SME firms and their banks may not be generalizable to other contexts.

This research would help managers in B2B service firms understand the pitfalls of combining their social and technical resources because it may hamper their ability to build customer loyalty. Hence, they need to learn how to synergize their marketing resources across both offline and online platforms to achieve optimal results.

This research introduces social and technical chains of effects as a novel way to examine the ability of B2B service firms to optimize their social and technical resources in a synergistic manner to build and nurture stronger customer relationships.

The purpose of this paper is to explore the effects of demand planning practices on the disruptions induced by operational risk. The study reveals whether the negative consequences of operational risk factors (covering demand, supply, control and process risks) can be absorbed or amplified through the application of specific demand planning practices in supply chains.

The study involves the partial least squares path model procedure. Likewise, the items of the constructs in the outer model were subjected to a purification process by principal component analysis with the orthogonal (varimax) and oblique (Promax) methods of rotation.

The findings suggest that although one may not observe uniformity and standardization in the role of demand planning in alleviating the negative effects of operational risks, still some regularities can be obtained. Having said that some demand planning practices tend to mitigate or reinforce disruptions driven by operational risk, whereas the other practices simultaneously absorb and amplify disruptions driven by operational risk.

The study shows that different managerial instruments, which are not inherently dedicated to risk management, when appropriately applied, may have an indirect impact on the mitigation of supply chain risk. In particular, the concept of demand planning might be very helpful for managers when dealing with demand and control risks.

The study simultaneously examines a more detailed bundle of practices forming the demand planning process. The research attempts to investigate the link between the demand planning process and operational risk consequences, derived from all sources (supply, demand, process and control). The paper shows that risk management is not a sole tool to mitigate disruptions. Among the concepts, which contribute to decrease risks is the demand planning process. The study demonstrates that the demand planning process when applied as a component of supply chain management, may contribute to mitigate certain operational risks.

This paper examines the relationship between supply chain network structures and firm financial performance and the moderating role of international relations. In this study, which is grounded in social capital theory and applies the perspective of systemic risk, the authors theorize the effects of supply chain network structures on firm performance.

The authors extracted data from two Chinese databases and constructed a supply chain network of the firms concerned based on nearly 4,300 supply chain relations between 2009 and 2018. The authors adopted the fixed effects model to investigate the relationship between supply chain network structures and firm financial performance.

The econometrics results indicate that network structures, including the degree, centrality, clustering coefficients and structural holes, are significantly related to firm financial performance. A significant and negative relationship exists between international relations and firm financial performance. The authors also find that international relations strongly weaken the relationship between supply chain network structures and firm financial performance.

This study, which collects secondary data from developing countries (e.g. China) and explores the impacts of supply chain network structures on firm stock performance, contributes to the existing literature and provides practical implications.

To explore the mechanism that shapes firms' supply chain learning (SCL) practices, this study examines the relationship between firms' knowledge network embeddedness and their SCL practice in a supply chain network, as well as the moderating role of supply chain network cohesion in this relationship.

Using patent application data and supply chain partner information from 869 listed firms between 2011 and 2020 in China, this study uses fixed-effect regression models to reduce endogeneity problems by controlling for individual heterogeneity effects that cannot be observed over time.

Firms' knowledge network embeddedness has an inverted U-shaped effect on their SCL, and this non-linear relationship is conditional on supply chain network cohesion, which strengthens (weakens) the positive (negative) effect of knowledge network embeddedness on SCL.

The findings show that managers can reconcile the downsides of knowledge network embeddedness on SCL by fostering greater supply chain network cohesion.

Drawing from the network pluralism perspective, this study contributes to supply chain literature by extending the research context of the antecedents of SCL from a single-network setting to a dual-network setting. It extends the network pluralism perspective by showing that not only positive effects but also negative effects of network embeddedness can transfer from one network to another.

The purpose of this paper is to contribute toward a better understanding of the impact of social capital on knowledge exchange within supply chains. An exploratory case study approach is used to identify the effects of social capital across multiple organizational levels and to consider how these effects relate to the mode of supply chain governance.

A comparative case study investigation was undertaken of two Indonesian automotive component suppliers. Qualitative research methods were used with data collection involving semi-structured interviews with 64 participants at three different levels within each company (senior managers, middle managers and shop floor staff).

Comparisons between the cases highlight the major consequences that internal differentiation within organizations had in moderating the effect of social capital upon knowledge exchange in supply chains. Social capital had both enabling and inhibiting effects and these were dependent upon how social capital was constituted within and between organizations. Interaction effects between levels and with the mode of governance adopted were also important.

Future research would benefit from a multidimensional analysis of social capital in supply chains which considers potentially disparate and contradictory effects which may be apparent when social capital is examined at different levels of analysis and in relation to different modes of governance.

The paper uses in-depth exploratory case research to complement existing survey-based work and contributes to the further conceptualization of relationships between social capital, knowledge exchange and modes of governance in supply chains.

Football is significant in the global economic context. However, the same significance is not identified in the value added to the chain, as the elements that make it up act in a disintegrated and independent manner with undesired effects. Consequently, it is necessary to structure the undesired effects to seek the basic causes that sustain this problematic situation. Thus, this paper aims to use a CRT to structure the undesired effects and basic causes that limit the positive economic impacts of the south Brazilian football value chain.

A semi-structured questionnaire was applied with questions about the existing constraints. Based on the answers in the interviews, the current reality tree was elaborated, premised on identifying the basic causes that sustain the undesirable effects detected.

Among the main results, it was identified that management problems of the traditional leaders of football clubs and federations are considered the main reason why south of Brazil football cannot fully exploit its economic potential.

It is evidenced that the paper shows the undesired effect that has the most impact on the development of this chain, and it is important to propose improvements to its root causes, aiming at greater efficacy of the resulting actions.

This study aims to develop the alleviating bullwhip effects framework (ABEF) replenishment rules, and bullwhip, inventory fluctuations and customer service fulfilment rates were examined. In addition, automated smoothing and replenishment rules can alleviate supply chain bullwhip effects. This study aims to understand the current artificial intelligence (AI) implementation practice in alleviating bullwhip effects in supply chain management. This study aimed to develop a system for writing reviews using a systematic approach.

The methodology for the present study consists of three parts: Part 1 deals with the systematic review process. In Part 2, the study applies social network analysis (SNA) to the fourth phase of the systematic review process. In Part 3, the author discusses developing research clusters to analyse the research state more granularly. Systematic literature reviews synthesize scientific evidence through repeatable, transparent and rigorous procedures. By using this approach, you can better interpret and understand the data. The author used two databases (EBSCO and World of Science) for unbiased analysis. In addition, systematic reviews follow preferred reporting items for systematic reviews and meta-analyses.

The study uses UCINET6 software to analyse the data. The study found that specific topics received high centrality (more attention) from scholars when it came to the study topic. Contrary to this, others experienced low centrality scores when using NETDRAW visualization graphs and dynamic capability clusters. Comprehensive analyses are used for the study’s comparison of clusters.

This study used a journal publication as the only source of information. Peer-reviewed journal papers were eliminated for their lack of rigorousness in evaluating the state of practice. This paper discusses the bullwhip effect of digital technology on supply chain management. Considering the increasing use of “AI” in their publications, other publications dealing with sensor integration could also have been excluded. To discuss the top five and bottom five topics, the author used magazines and tables.

The study explores the practical implications of smoothing the bullwhip effect through AI systems, collaboration, leadership and digital skills. Artificial intelligence is rapidly becoming a preferred tool in the supply chain, so management must understand the opportunities and challenges associated with its implementation. Furthermore, managers should consider how AI can influence supply chain collaboration concerning trust and forecasting to smooth the bullwhip effect.

Digital leadership and addressing the digital skills gap are also essential for the success of AI systems. According to the framework, it is necessary to balance AI performance and accountability. As a result of the framework and structured management approach, the author can examine the implications of AI along the supply chain.

The study uses a systematic literature review based on SNA to analyse how AI can alleviate the bullwhip effects of supply chain disruption and identify the focused and the most important AI topics related to the bullwhip phenomena. SNA uses qualitative and quantitative methodologies to identify research trends, strengths, gaps and future directions for research. Salient topics for reviewing papers were identified. Centrality metrics were used to analyse the contemporary topic’s importance, including degree, betweenness and eigenvector centrality. ABEF is presented in the study.

Climate change requires the reduction of direct and indirect greenhouse gas (GHG) emissions, a task that seems to clash with increasing supply chain complexity. This study aims to analyse the upstream supply chain complexity dimensions suggesting the importance of understanding the information processing that these may entail. Reducing equivocality can be an issue in some dimensions, requiring the introduction of written guidelines to moderate the effects of supply chain complexity dimensions on GHG emissions at the firm and supply chain level.

A three-year panel data was built with information obtained from Bloomberg, Trucost and Compustat. Hypotheses were tested using random effect regressions with robust standard errors on a sample of 394 SP500 companies, addressing endogeneity through the control function approach.

Horizontal complexity reduces GHG emissions at the firm level, whereas vertical and spatial complexity dimensions increase GHG emissions at the firm and supply chain level. Although the introduction of written guidelines neutralises the negative effects of vertical complexity on firm and supply chain GHG emissions, it is not sufficient in the presence of spatial complexity.

This paper offers novel insights by suggesting that managers need to reconcile the potential trade-off effects on GHG emissions that horizontally complex supply chain structures can present. Their priority in vertically and spatially complex supply chain structures should be to reduce equivocality.