Relational orientation of triadic supply chains with structural holes: an empirical comparison of rents derived from bridging the structural holes

2020 ◽  
Vol 25 (5) ◽  
pp. 565-583
Author(s):  
Artur Swierczek

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.

2019 ◽  
Vol 24 (4) ◽  
pp. 524-539 ◽  
Author(s):  
Carlo Mora-Monge ◽  
Gioconda Quesada ◽  
Marvin E. Gonzalez ◽  
Joshua M. Davis

Purpose This study aims to examine the effects of trading partner trust and trading partner power, on supply chain integration, and their impact on business performance in the context of Web-enabled supply chains. In doing so, the authors extend previous studies by exploring this phenomenon by using an integrative theory-driven approach. Design/methodology/approach This study presents a theoretical model grounded on the resource-based and dynamic capabilities views and the social capital theory. Data collected from 175 firms in the USA are used to test the hypotheses using structural equation modeling. Findings Results highlight the importance of trust and supply chain integration on business performance, whereas power did not appear to have an effect on supply chain integration in Web-enabled supply chains. The findings are robust to concerns of endogeneity, common method bias and alternative model specification. Practical implications Companies engaged in Web-enabled supply chains need to focus on increasing their integration efforts, and these efforts must also be accompanied by partnerships built on trust. Trading partners who might be inclined to use coercive strategies to influence other members of the supply chain in Web-enabled environments may be better off using cooperative approaches based on trust to achieve their desired goals. Originality/value This study integrates the resource-based view, dynamic capabilities view and the social capital theory to explore the dynamic relationships between trading partner trust, trading partner power and supply chain integration in Web-enabled supply chains. In doing so, this paper extends prior studies by examining supply chain integration’s impact on business performance and its mediating role, as it relates to trading partner trust and power in Web-enabled supply chains.


2019 ◽  
Vol 25 (3) ◽  
pp. 301-323 ◽  
Author(s):  
Artur Swierczek

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.


2015 ◽  
Vol 23 (2) ◽  
pp. 16-18

Purpose – This paper aims to describe numerous ways in which supermarket Walmart is seeking to improve the lives of women across the world. Design/methodology/approach – It looks in particular at the Women in Factories program, which is helping to train more than 60,000 women working in factories in India, Bangladesh, China and Central America that supply products to the supermarket giant and other retailers. Findings – It charts how the program, launched in Bangladesh and India in 2012, will reach 150 factories in India, Bangladesh, China and Central America by 2017. Practical implications – It explains that by educating and empowering women in factories and creating a stronger supply chain, suppliers realize greater efficiencies in their factories, which should result in higher-quality products, lower prices and more reliable product availability for customers. Social implications – It reveals that Walmart is sharing the Women in Factories curriculum with other retailers who can choose to implement it in their own supply chains. Originality/value – It details various ways in which Walmart seeks to improve economic and social conditions for women around the world.


2015 ◽  
Vol 26 (3) ◽  
pp. 568-602 ◽  
Author(s):  
Samir K Srivastava ◽  
Atanu Chaudhuri ◽  
Rajiv K. Srivastava

Purpose – The purpose of this paper is to carry out structural analysis of potential supply chain risks and performance measures in fresh food retail by applying interpretive structural modeling (ISM). Design/methodology/approach – Inputs were taken from industry experts in identifying and understanding interdependencies among food retail supply chain risks on different levels (sourcing and logistics outside the retail stores; storage and customer interface at the stores). Interdependencies among risks and their impact on performance measures are structured into a hierarchy in order to derive subsystems of interdependent elements to derive useful insights for theory and practice. Findings – Using the ISM approach the risks and performance measures were clustered according to their driving power and dependence power. Change in/inadequate government regulations’ are at the bottom level of the hierarchy implying highest driving power and require higher attention and focussed mitigation strategies. Risks like lack of traceability, transport delays/breakdowns and temperature abuse, cross-contamination in transport and storage have medium driver and dependence powers. Research limitations/implications – The approach is focussed on food retail supply chains in the Indian context and thereby limits the ability to generalize the findings. The academics and experts were selected on convenience and availability. Practical implications – It gives managers a better understanding of the risks and performance measures that have most influence on others (driving performance measures) and those measures which are most influenced by others (dependent performance measures) in fresh food retail and also a tool to prioritize them. This kind of information is strategic for managers who can use it to identify which performance measures they should concentrate on managing the trade-offs between measures. The findings and the applicability for practical use have been validated by both experts and practicing managers in food retail supply chains. Originality/value – The work is perhaps the first to link supply chain risks with performance and explains the propagation of risks in food retail supply chains. It contributes to theory by addressing a few research gaps and provides relevant managerial insights for practitioners.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sachin Modgil ◽  
Shivam Gupta ◽  
Rébecca Stekelorum ◽  
Issam Laguir

PurposeCOVID-19 has pushed many supply chains to re-think and strengthen their resilience and how it can help organisations survive in difficult times. Considering the availability of data and the huge number of supply chains that had their weak links exposed during COVID-19, the objective of the study is to employ artificial intelligence to develop supply chain resilience to withstand extreme disruptions such as COVID-19.Design/methodology/approachWe adopted a qualitative approach for interviewing respondents using a semi-structured interview schedule through the lens of organisational information processing theory. A total of 31 respondents from the supply chain and information systems field shared their views on employing artificial intelligence (AI) for supply chain resilience during COVID-19. We used a process of open, axial and selective coding to extract interrelated themes and proposals that resulted in the establishment of our framework.FindingsAn AI-facilitated supply chain helps systematically develop resilience in its structure and network. Resilient supply chains in dynamic settings and during extreme disruption scenarios are capable of recognising (sensing risks, degree of localisation, failure modes and data trends), analysing (what-if scenarios, realistic customer demand, stress test simulation and constraints), reconfiguring (automation, re-alignment of a network, tracking effort, physical security threats and control) and activating (establishing operating rules, contingency management, managing demand volatility and mitigating supply chain shock) operations quickly.Research limitations/implicationsAs the present research was conducted through semi-structured qualitative interviews to understand the role of AI in supply chain resilience during COVID-19, the respondents may have an inclination towards a specific role of AI due to their limited exposure.Practical implicationsSupply chain managers can utilise data to embed the required degree of resilience in their supply chains by considering the proposed framework elements and phases.Originality/valueThe present research contributes a framework that presents a four-phased, structured and systematic platform considering the required information processing capabilities to recognise, analyse, reconfigure and activate phases to ensure supply chain resilience.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Carina Acioli ◽  
Annibal Scavarda ◽  
Augusto Reis

PurposeThe purpose of this paper is 1) to investigate the effects on the crucial Industry 4.0 technological innovations that interact between the real and virtual worlds and that are applied in the sustainable supply chain process; 2) to contribute to the identification of the opportunities, the challenges and the gaps that will support the new research study developments and 3) to analyze the impact of the Industry 4.0 technologies as facilitators of the sustainable supply chain performance in the midst of the Coronavirus (COVID-19).Design/methodology/approachThis research is performed through a bibliographic review in the electronic databases of the Emerald Insight, the Scopus and the Web of Science, considering the main scientific publications on the subject.FindingsThe bibliographic search results in 526 articles, followed by two sequential filters for deleting the duplicate articles (resulting in 487 articles) and for selecting the most relevant articles (resulting in 150 articles).Practical implicationsThis article identifies the opportunities and the challenges focused on the emerging Industry 4.0 theme. The opportunities can contribute to the sustainable performance of the supply chains and their territories. The Industry 4.0 can also generate challenges like the social inequalities related to the position of the man in the labor market by replacing the human workforce with the machines. Therefore, the man-machine relationship in the Industry 4.0 era is analyzed as a gap in the literature. Therefore, as a way to fill this gap, the authors of this article suggest the exploration of the research focused on the Society 5.0. Also known as “super-smart society,” this recent theme appeared in Japan in April 2016. According to Fukuda (2020), in addition to the focus on the technological development, the Society 5.0 also aims at the quality of life and the social challenge resolutions.Originality/valueThis article contributes to the analysis of the Industry 4.0 technologies as facilitators in the sustainable supply chain performance. It addresses the impacts of the Industry 4.0 technologies applied to the supply chains in the midst of the COVID-19 pandemic, and it analyzes the research gaps and limitations found in the literature. The result of this study can add value and stimulate new research studies related to the application of the Industry 4.0 technologies as facilitators in the supply chain sustainable performance. It can encourage the studies related to the COVID-19 impacts on the sustainable supply chains, and it can promote the research development on the relationship among the man, the machine and the labor in the Fourth Industrial Revolution.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christina Öberg

Purpose Additive manufacturing has been described as converting supply chains into demand chains. By focusing on metal additive manufacturing as a contemporary technology causing ongoing disruption to the supply chain, the purpose of this paper is to describe and discuss how incumbent firms act during an ongoing, transformational disruption of their supply chain. Design/methodology/approach Interviews and secondary data, along with seminars attracting approximately 600 individuals operating in metal additive manufacturing, form the empirical basis for this paper. Findings The findings of this paper indicate how disruption occurs at multiple positions in the supply chain. Episodic positions as conceptualised in this paper refer to how parties challenged by disruption attempt to reach normality while speeding the transformational disruption. Originality/value This paper contributes to previous research by theorising about episodic positions in light of a supply chain disruption. The empirical data are unique in how they capture supply chain change at the time of disruption and illustrate disruptive, transformational change to supply chains. The paper interlinks research on disruption from the innovation and supply chain literature, with contributions to both.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Edgar Ramos ◽  
Andrea S. Patrucco ◽  
Melissa Chavez

Purpose Considering the unprecedented supply chain disruptions due to the COVID-19 pandemic, especially in the agri-food sector, the possession of dynamic capabilities (DCs) – particularly, the need for higher agility – seems to be the key to survival in highly uncertain environments. This study aims to use the dynamic capability view (DCV) theory to analyze how three key supply chain capabilities – organizational flexibility, integration and agility – should be combined to obtain the desired supply chain performance. Design/methodology/approach The authors designed a conceptual model in which the relationships between these three key capabilities and supply chain performance were hypothesized. The model was first tested through partial least square regression using survey data collected from 98 members of the Peruvian coffee supply chain. A fuzzy-set qualitative comparative analysis (fsQCA) was conducted to uncover how DCs could be combined in successful supply chain configurations. Findings The authors show that organizational flexibility is a driver of higher agility in agri-food supply chains, together with external and internal supply chain integration, that have a direct impact on agility, which positively affects supply chain performance. Higher levels of supply chain agility are necessary but insufficient to guarantee high performance, as sufficiency is reached when both integration (internal and/or external) and agility are present. Originality/value This study represents a pioneering attempt to apply the DCV theory to agri-food supply chains – characterized by many sources of uncertainty. All the DCs are included within the same model and the joint use of PLS regression and fsQCA provides evidence about the relationships between DCs and how they can empower agri-food supply to obtain the desired performance.


Author(s):  
Antonina Tsvetkova ◽  
Britta Gammelgaard

PurposeThe purpose of this paper is to explore how supply chain strategies emerge and evolve in response to contextual influence.Design/methodology/approachA qualitative single-case study presents the journey of a supply chain strategy, conceptualised as the idea of transport independence in the Russian Arctic context. Data from 18 semi-structured interviews, personal observations and archival materials are interpreted through the institutional concepts of translation and editing effects.FindingsThe study reveals how supply chain strategies evolve over time and can affect institutional factors. The case study further reveals how contextual conditions make a company reconsider its core competencies as well as the role of supply chain management practices. The findings show that strategy implementation through purposeful actions can represent a powerful resistance to contextual pressures and constraints, as well as being a facilitator of change in actual supply chains and their context. During the translation of the idea of transport independence into actions, the supply chain strategy transformed itself into a form of strategic collaboration and thereby made supply chains in the Russian Arctic more integrated than before.Research limitations/implicationsMore empirical studies on strategy implementation in interaction with contextual and institutional factors are suggested. An institutional process perspective is applied in this study but the authors suggest that future research should include a human dimension by an exploration of day-to-day routines and challenges that employees face when strategising and the actions they take.Originality/valueThe study provides an understanding of how a new supply chain strategy emerges and how it changes during implementation. In this process-oriented study – merging context, process and strategy content – it is further shown that a supply chain strategy may affect the context by responding to contextual and institutional challenges.


2018 ◽  
Vol 23 (4) ◽  
pp. 351-376 ◽  
Author(s):  
Yiyi Fan ◽  
Mark Stevenson

Purpose This paper aims to investigate how supply chain risks can be identified in both collaborative and adversarial buyer–supplier relationships (BSRs). Design/methodology/approach This research includes a multiple-case study involving ten Chinese manufacturers with two informants per organisation. Data have been interpreted from a multi-level social capital perspective (i.e. from both an individual and organisational level), supplemented by signalling theory. Findings Buyers use different risk identification strategies or apply the same strategy in different ways according to the BSR type. The impact of organisational social capital on risk identification is contingent upon the degree to which individual social capital is deployed in a way that benefits an individual’s own agenda versus that of the organisation. Signalling theory generally complements social capital theory and helps further understand how buyers can identify risks, especially in adversarial BSRs, e.g. by using indirect signals from suppliers or other supply chain actors to “read between the lines” and anticipate risks. Research limitations/implications Data collection is focussed on China and is from the buyer side only. Future research could explore other contexts and include the supplier perspective. Practical implications The types of relationships that are developed by buyers with their supply chain partners at an organisational and an individual level have implications for risk exposure and how risks can be identified. The multi-level analysis highlights how strategies such as employee rotation and retention can be deployed to support risk identification. Originality/value Much of the extant literature on supply chain risk management is focussed on risk mitigation, whereas risk identification is under-represented. A unique case-based insight is provided into risk identification in different types of BSRs by using a multi-level social capital approach complemented by signalling theory.


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