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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.

PurposeThe 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/approachIn 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.FindingsThe 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/implicationsWhile 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 implicationsThe 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 implicationsThe 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/valueThe 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.

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.