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Article
Publication date: 2 December 2019

Artur Swierczek

The purpose of this paper is to explore whether brokered network governance, run by the manufacturer, affects relational embeddedness and thus contributes to yielding the Coleman…

683

Abstract

Purpose

The purpose of this paper is to explore whether brokered network governance, run by the manufacturer, affects relational embeddedness and thus contributes to yielding the Coleman rent in the triadic supply chains.

Design/methodology/approach

Building upon the theoretical tenets of transaction cost analysis, complemented by the underpinnings of social capital theory, this study involves an empirical investigation that uses survey data collected from the triadic supply chains in Europe. The research covers a two-step analysis. In the first step, the Coleman rent was estimated through the regression analysis with the interaction effects. Then, partial least squares–structural equation modeling was used to estimate the reflective-formative nature of higher component model and test the research hypotheses.

Findings

The results of the study demonstrate that the distribution of three mechanisms in network governance is relatively even; however, market and hierarchy still emerge as the most impactful dimensions. Interestingly, though, this study shows that social capital can actually coexist with market and hierarchy in the triadic supply chains with the structural hole. Likewise, the research indicates that the impact of brokered network governance on the strength of network relational embeddedness is significant, but relatively weak, whereas network relational embeddedness has a strong and positive effect on the Coleman rent.

Research limitations/implications

This study makes three major contributions. First, this study is one of very few that explicitly considers brokered network governance, run by the manufacturer positioned on the structural hole in its triadic supply chain. Second, as the triadic perspective is still uncommon in the supply chain studies, this research investigates a triad with the structural hole within the manufacturing setting. Third, the paper seeks to investigate the ability to yield the Coleman rent in the triadic supply chains with the structural hole, although this type of rent is typically linked to another arrangement called closure.

Originality/value

Given the increasing attention paid to the role of social capital within supply chains, this study investigates how relational embeddedness can be used by the manufacturer, sitting on the structural hole and running the network governance mechanism, to yield the Coleman rent in the triadic supply chain.

Details

Supply Chain Management: An International Journal, vol. 25 no. 3
Type: Research Article
ISSN: 1359-8546

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Article
Publication date: 25 April 2023

Artur Swierczek and Natalia Szozda

This study aims to investigate how relational capital derived by the buyer and supplier from the buyer-LSP and supplier-LSP dyads affects buyer-supplier adaptability and their…

595

Abstract

Purpose

This study aims to investigate how relational capital derived by the buyer and supplier from the buyer-LSP and supplier-LSP dyads affects buyer-supplier adaptability and their relational performance.

Design/methodology/approach

Drawing upon the tenets of Social Capital Theory and Relational View, the authors performed exploratory research using a survey of 350 supply chain triads. Based on these data, the authors used Structural Equation Modeling to estimate the Higher Component Model (HCM) and test the research hypotheses.

Findings

The research results indicate that relational capital derived by the supplier from the supplier-LSP dyad has a strong and positive impact on buyer-supplier adaptability. On the other hand, relational capital derived by the buyer from the buyer-LSP dyad has no significant impact on buyer-supplier adaptability. The results also demonstrate that the effect of buyer-supplier adaptability on buyer-supplier relational performance is strong and positive. The obtained findings also suggest that buyer-supplier adaptability acts as a partial mediator between relational capital derived by buyer/supplier from the links with LSP and relational performance.

Research limitations/implications

The study has some limitations that guide directions for future research. First, along with relational capital, it might be worthwhile to also investigate the impact of structural and cognitive capital in supply chain triads to test whether and how these two dimensions of social capital contribute to buyer-supplier adaptability. It could be also interesting to include the LSP’s perception of relational capital in the model to shift the analysis from the organizational to the interorganizational level.

Originality/value

Given the increasing interest in complex structures of supply chains, this study investigates how one dyad affects other dyads in supply chain triads. Specifically, the study develops and empirically tests the construct of relational capital derived from the links with LSPs, and views adaptability as the result of two interacting parties.

Details

International Journal of Operations & Production Management, vol. 44 no. 1
Type: Research Article
ISSN: 0144-3577

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Article
Publication date: 8 May 2019

Artur Swierczek

This study aims to investigate the link between manufacturer relational embeddedness, manufacturer influence and supplier-customer relational embeddedness and their resulting…

836

Abstract

Purpose

This study aims to investigate the link between manufacturer relational embeddedness, manufacturer influence and supplier-customer relational embeddedness and their resulting impact on the network rent.

Design/methodology/approach

Leveraging the theoretical lens of social exchange theory and the relational view and utilizing the survey data derived from the transitional triadic supply chains, the authors used multiple regression analysis and the partial least squares (PLS) path model. The regression analysis with interaction effects is used to indicate the network rent, while the PLS path model is applied to investigate the link between manufacturer relational embeddedness, manufacturer influence and supplier-customer relational embeddedness and their subsequent impact on the network rent.

Findings

The authors empirically establish that manufacturer relational embeddedness, as a higher-order factor, can comprise both upstream and downstream relational embeddedness. The research also demonstrates that manufacturer relational embeddedness significantly contributes to the manufacturer’s eagerness to form a direct link between the supplier and the customer, and the manufacturers report a significant ability to affect this relationship. Likewise, the study shows that supplier-customer relational embeddedness significantly and positively affects the network rent. In addition, the study implies that supplier-customer relational embeddedness is a mediator between manufacturer influence and the network rent, while manufacturer influence is a suppressor variable, which increases the negative relationship between manufacturer relational embeddedness and supplier-customer relational embeddedness.

Research limitations/implications

The research makes three key contributions. First, this study, as one of very few, simultaneously embraces context, intervention, mechanism and outcome, while investigating the role of manufacturer (its relational embeddedness and influence) in promoting supplier-customer relational embeddedness, and its resulting effect on the network rent. Further on, to the best of the authors’ knowledge, this is the first empirically based study that demonstrates to what extent the manufacturer is capable of fostering supplier-customer relational embeddedness, thus favoring the transposition from the intransitive into the transitive triadic supply chains. Finally, to date, the concept of network rent has been mostly conceptualized as the theoretical construct with no empirical evidence. This research offers guidance for manufacturers in managing the relationships between the supplier and the customer to yield the highest network rent.

Originality/value

This study provides a novel approach to investigating the role of manufacturer and relational embeddedness in yielding the network rent in the transitional triadic supply chains.

Details

Supply Chain Management: An International Journal, vol. 24 no. 4
Type: Research Article
ISSN: 1359-8546

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Article
Publication date: 6 February 2019

Artur Swierczek

The purpose of this paper is to investigate whether the manufacturer that occupies the central position in the triadic supply chain is capable of enhancing relationships within…

1166

Abstract

Purpose

The purpose of this paper is to investigate whether the manufacturer that occupies the central position in the triadic supply chain is capable of enhancing relationships within both dyads to produce the network rent and extra profit shared among all supply chain actors.

Design/methodology/approach

The paper opted for an exploratory study using a survey of triads forming supply chains. To reveal the capability of yielding the network rent in the examined triads, multiple regression analysis with Interaction effects was used. Having confirmed the existence of supernormal profit, the partial least square path model was developed to investigate the effects of manufacturer structural embeddedness on relational embeddedness and the resulting impact on the network rent.

Findings

The obtained findings show that manufacturer structural embeddedness has a direct and positive effect on relational embeddedness and relational embeddedness of two dyads (represented as a higher order factor) has a direct and positive effect on the network rent. In addition, relational embeddedness mediates the positive relationship between manufacturer structural embeddedness and network rent, as the null model with no mediation appears to underestimate the direct and positive effect between manufacturer structural embeddedness and the network rent.

Research limitations/implications

The study makes three key contributions. First, it extends the application of both relational and structural embeddedness to grasp the network architecture of the triadic supply chain. Second, the concept of manufacturer structural embeddedness is used to elaborate on the role of the manufacturer in establishing relationships of high quality with the supplier and the customer. In connection to the previous point, the calculated network rent demonstrates that establishing collaborative relationships in triadic supply chains may bring a significant supernormal profit, derived as the outcome of mutual interplay between the relational performances of two dyads.

Practical implications

The study shows that manufacturers intending to use their central position to develop collaborative relationships with both partners, and the supplier and the customer, ought to appreciate the role of social ties embedded in interorganizational networks. The paper also implies that in parallel with using formal contracts as a governance mechanism, the manufacturer centrally positioned in the triadic supply chains ought to deliberately shape relational embeddedness of both dyads. Finally, managers can consider the ways to enhance relational embeddedness in a triad by improving relational embeddedness of a certain dyad.

Originality/value

This study provides a novel framework for studying two basic dimensions of embeddedness (structural and relational) and their impact on the network rent in triadic supply chains that goes beyond the dyadic perspective and incorporates the extended supply chain.

Details

Supply Chain Management: An International Journal, vol. 24 no. 3
Type: Research Article
ISSN: 1359-8546

Keywords

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Article
Publication date: 9 February 2022

Artur Swierczek

The purpose of this study is twofold. First, it aims to explore the link between the industry 4.0 technologies, supply chain emergence and their resulting impact on relational…

1049

Abstract

Purpose

The purpose of this study is twofold. First, it aims to explore the link between the industry 4.0 technologies, supply chain emergence and their resulting impact on relational performance in the transitive service triads. Second, the study also seeks to recognize the role of supply chain emergence as a mediator between the industry 4.0 technologies and relational performance.

Design/methodology/approach

Grounded in the complex adaptive system theory and supply chain practice view, the author developed an empirical model, estimated through survey-based research. Data derived from 350 transitive service triads were fed into the partial least squares structural equation model to test the research hypotheses.

Findings

The results of the study indicate that the industry 4.0 technologies have a positive effect on supply chain emergence in the transitive service triads. Likewise, the research demonstrates that supply chain emergence has a positive effect on relational performance in triads. When estimating the model mediation, the author also found that supply chain emergence fully mediates the relationship between the industry 4.0 technologies and relational performance.

Research limitations/implications

First, it would be worthwhile to consider a detailed investigation of the effect of specific industry 4.0 technologies to obtain self-organization of actors and emergence. Moreover, it would also be interesting to further develop the methods for investigating variation in relational performance across the entire range of performance in triads. Finally, although the issue of relational performance has been relatively well explored within a dyadic setting, the author suggests pursuing the investigation on relational performance at the triadic level.

Originality/value

This study contributes to the theory of supply chain management and provides significant managerial implications on the role of the industry 4.0 technologies in obtaining supply chain emergence and producing relational performance in the transitive service triads.

Details

Supply Chain Management: An International Journal, vol. 28 no. 2
Type: Research Article
ISSN: 1359-8546

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Article
Publication date: 29 August 2019

Artur Swierczek and Natalia Szozda

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…

1389

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Practical implications

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.

Originality/value

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.

Details

Supply Chain Management: An International Journal, vol. 24 no. 6
Type: Research Article
ISSN: 1359-8546

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Article
Publication date: 4 May 2022

Artur Swierczek

This study considers transitive service triads, which consist of three dyads formed by three actors: supplier, logistics service provider and customer, who remain directly linked…

751

Abstract

Purpose

This study considers transitive service triads, which consist of three dyads formed by three actors: supplier, logistics service provider and customer, who remain directly linked by one or more of the upstream and downstream flows of products, information and finances. This paper aims to explore the link between information governance, decentralized information technologies and supply chain self-organization, and their resulting impact on network performance in the transitive service triads.

Design/methodology/approach

Drawing upon the tenets of the theory of complex adaptive systems and supply chain practice view, this paper involves an empirical investigation that uses survey data gathered from transitive service triads in the European countries. The study uses partial least squares structural equation modeling to estimate the formative-reflective hierarchical component model and test the research hypotheses.

Findings

Information governance defines how supply chain information flows are controlled, accessed and used by a focal organization and its business partners. As empirically evidenced in this study, it can be depicted as a latent construct consisting of three distinct dimensions of information custody, information ownership and right to data access. Likewise, the study also indicates that supply chain self-organization, as a second-order construct, consists of three interactive self-organization actions undertaken by specific firms participating in the triadic arrangement. Supply chain self-organization is thus produced by firms that are reciprocally interrelated and interacting, having effects on one another. Furthermore, the study also highlights that information governance creates an environment for applying decentralized information technologies, which then positively affects supply chain self-organization. Finally, the research also empirically operationalizes the construct of network performance within the transitive service triads.

Research limitations/implications

Although the results provide several major contributions to theory and implications for practitioners, the study still demonstrates some methodological constraints. Specifically, although the study uses a relatively large research sample of 350 transitive service triads, it still focuses only on a selected group of industries and is limited to investigating solely a particular type of service triads.

Originality/value

Given the increasing interest in investigating triads, this study examines how information governance and decentralized information technologies support supply chain self-organization to yield network performance in transitive service triads.

Details

Supply Chain Management: An International Journal, vol. 28 no. 3
Type: Research Article
ISSN: 1359-8546

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Article
Publication date: 28 April 2020

Artur Swierczek

First, the paper aims to explore the ability of the actor sitting on the structural hole to achieve the additional rent, which is modeled as the outcome of joint effect between…

667

Abstract

Purpose

First, the paper aims to explore the ability of the actor sitting on the structural hole to achieve the additional rent, which is modeled as the outcome of joint effect between the relational performances of two dyads (supplier–buyer and buyer–customer) within the triadic supply chains. Second, the paper seeks to empirically compare the value of additional rent among different structural hole states of triadic supply chains.

Design/methodology/approach

Building upon the theoretical tenets of social capital theory, complemented by the underpinnings of relational view, this research uses survey data gathered from the triadic supply chains in Europe. To conduct necessary processing, the multivariate statistical analyses have been performed.

Findings

The findings suggest that the rent is actually yielded by the actors bridging the structural hole in the triadic supply chain; however, its value, as evidenced in the study, is diverse regarding the specific structural hole state. More specifically, the highest value of rent is generated by the buyer establishing cooperative posture of both dyads in the triadic supply chains. The value of rent close to zero is revealed in the triadic supply chains with negative relational posture of both dyads. Interestingly, the lowest level of rent produced by the buyer from bridging the structural hole is reported with the triadic supply chains in which one dyad demonstrates a more cooperative relational posture, whereas the other one indicates an adversarial relational posture. Not only does this result suggest that there is no rent, but it even goes further to indicate a negative return (or loss) derived by the manufacturer in this group of triadic supply chains.

Research limitations/implications

The study is limited to the relational posture, either strong or weak; therefore, it would be worthwhile to examine a wider spectrum of behaviors, based on the adversarial relationships, deprived of mutual trust, when both actors in a dyad act opportunistically and antagonistically. Moreover, regarding the research method used, the case study is usually deemed to be more appropriate to deeply grasp the complex issues of social behavior. Finally, caution should also be exercised while generalizing the results obtained from the research.

Practical implications

For practicing supply chain managers, this study points that that it is likely that both actors collaborating with the buyer (the supplier and the customer) also enjoy additional benefits offered by the rent. Importantly for managers, regardless of the effort made by the focal actor, the careless attitude and independence of suppliers and customers may make it hard or even impossible for the buyer to establish triads that include relationships of high quality.

Social implications

In terms of social implications, this study brings to the fore that not only are the buyers driven by self-interest but they may be also guided by ethical and social rules when interacting with suppliers and customers in their triads. This research evidenced that the buyer in the triadic supply chain can act as the moderator that tends to simultaneously establish a strong relational posture to two other actors in such a way that the joint effect of relational performance generated by both dyads significantly contributes to the higher level of buyer’s individual performance.

Originality/value

The study investigates whether and how establishing relational posture of two dyads in the triadic supply chains can affect the additional rent for the buyer derived from bridging the structural hole.

Details

Supply Chain Management: An International Journal, vol. 25 no. 5
Type: Research Article
ISSN: 1359-8546

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Article
Publication date: 16 August 2022

Artur Swierczek

The study seeks to explore the effect of socialization mechanisms on relational embeddedness of logistics service providers (LSP), and relational performance of dyads, and finally…

434

Abstract

Purpose

The study seeks to explore the effect of socialization mechanisms on relational embeddedness of logistics service providers (LSP), and relational performance of dyads, and finally their resulting effect on the supply chain performance in transitive triads.

Design/methodology/approach

To elaborate on the major constructs of the study, the researchers use the theoretical lens specifically provided by social capital theory (SCT), and relational view (RV). Consequently, the researchers use SCT to examine the role of the socialization process, used by the supplier and customer, to develop relational embeddedness of logistics service providers in triads. Next, the researchers use the RV, complemented by the underpinnings of supply chain practice view (SCPV) to elaborate on the relational performance of dyads and supply chain performance. The study uses partial least squares structural equation modeling (PLS-SEM) to estimate the higher component model (HCM) and test the research hypotheses.

Findings

The results obtained from a sample of 350 transitive triads suggest that relational embeddedness of LSPs is only shaped by the mechanisms of formal socialization, developed by the supplier and customer. Interestingly, informal socialization appears to be insignificant for this process. The results indicate that relational embeddedness of logistics service providers has a positive effect on the relational performance of three dyads, which in turn, has a positive effect on the supply chain performance in transitive triads.

Research limitations/implications

One of the intriguing avenues of future research is to investigate the dynamics of supply chains. It would be also worthwhile to make use of the specificity of transitive triads, formed by the supplier, customer and LSP, to explore whether and under which circumstances (e.g. reciprocity, symmetry) the strong ties encourage the transfer and integration of knowledge among actors, and the weak ties accelerate the search for information. In connection with that, the other interesting research avenue would be to investigate the information benefits derived from the nonredundant triads.

Originality/value

Although there is a number of recent studies that show empirical evidence for developing relational embeddedness in transitive triads, to date, little research interest has been paid to how relational embeddedness of LSPs is shaped within the supply chain structures, and how it finally affects the supply chain performance.

Details

The International Journal of Logistics Management, vol. 34 no. 5
Type: Research Article
ISSN: 0957-4093

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Article
Publication date: 26 March 2020

Artur Swierczek

The goal of the paper is twofold. First, it aims to empirically conceptualize whether a wide array of fragmented demand planning activities, performed in supply chains, can be…

1197

Abstract

Purpose

The goal of the paper is twofold. First, it aims to empirically conceptualize whether a wide array of fragmented demand planning activities, performed in supply chains, can be logically categorized into actionable sets of practices, which then form a broader conceptualization of the demand planning process. Second, regarding certain contextual factors, our research seeks to investigate the contribution of demand planning, as a higher-order construct, to mitigating disruptions induced by operational risks in supply chains.

Design/methodology/approach

In this study, PLS-SEM was used to estimate the reflective-formative nature of the model. The results of PLS-SEM were additionally complemented by the assessment of the predictive power of our model. Finally, to reveal possible contingency effects, the multigroup analysis (MGA) was conducted.

Findings

The study suggests that demand planning process (DPP) is a second-order construct that is composed of four sets of practices, including goal setting, data gathering, demand forecasting, communicating the demand predictions and synchronizing supply with demand. The study also reveals that the demand planning practices, only when considered together, as a higher-order factor, significantly contribute to mitigating disruptions driven by operational risks. Finally, the research shows that the strength of the impact of demand planning on disruptions is contextually dependent.

Research limitations/implications

While the study makes some important contributions, the obtained findings ought to be considered within the context of limitations. First, the study only investigates disruptions driven by operational risks, ignoring the negative consequences of environmental risks (terrorist attacks, natural disasters, etc.), which may have a far more negative impact on supply chains. Second, the sample is mostly composed of medium and large companies, not necessarily representative of demand planning performed by the entire spectrum of companies operating in the market.

Practical implications

The study shows that to effectively mitigate disruptions induced by operational risks, the demand planning practices should be integrated into a higher-order construct. Likewise, our research demonstrates that the intensity of demand planning process is contingent upon a number of contextual factors, including firm size, demand variability and demand volume.

Social implications

The study indicates that to mitigate disruptions of operational risk, demand planning as a higher-order dynamic capability can be referred to the concept of organizational learning, which contributes to forming a critical common ground, ensuring the balance between formal and informal dynamic routines.

Originality/value

The paper depicts that to fully deal with disruptions, the demand planning practices need to be integrated and categorized into the dedicated higher-order. This may lead to forming demand planning as a higher-order dynamic capability that provides a more rapid and efficient rebuttal to any disruptions triggered by operational risks.

Details

The International Journal of Logistics Management, vol. 31 no. 3
Type: Research Article
ISSN: 0957-4093

Keywords

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