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This article aims to examine the impact of multiple suppliers on competitive advantage by exploiting digital capabilities.

The author propose a structural equation model with the adopted measure from the literature. Hence, the study conducted an online survey in Indonesia with 450 qualified respondents involving managers and owner-managers.

The results indicate multiple suppliers help the firms to exploit digital capabilities, which foster them to achieve competitive advantage. Hence, different level of market turbulences determines the impact of numerous suppliers on competitive advantage. Specifically, the multiple-suppliers approach is more effective in supporting buyer firms to gain a competitive advantage during high market turbulence than low market turbulence.

This study offers empirical evidence with unit analysis of buyer firms that seek competitive advantage by exploiting digital capability. However, this approach focusses on a single unit analysis, which is buyer firms. Hence, there is an opportunity to adopt qualitative approach to explore the suppliers and end-users from different perspectives from other supply chain players.

This article contributes to the growing literature on the resource-based theory by examining the relationship between the multiple-sourcing model and competitive advantage. The authors also discuss the intersection between resource-based, dynamic capability and stakeholder theory.

The purpose of this paper is to change the traditional supplier selection methods by shifting the emphasis from using a single model to using multiple models in the unstructured decision‐making context and to provide a tool for decision makers to make informed decisions of supplier selection in the multiple perspectives.

There are various supplier selection models available in the literature. However, using the result of a single model as a basis for making the final decision could lead to a biased decision given the fact that any model has its limitations. The qualities of the decision‐making process and the decision itself increase by applying a multiple perspectives approach rather than a single model. The multiple perspectives decision‐making allows collaboration and knowledge sharing among the participants which leads to a less‐biased decision. This study examines commonly applied supplier selection models, formulates general perspectives of these models, and proposes a framework of multiple perspectives decision making for supplier selection. It further provides a structure of supplier selection system based on the proposed approach. Through a prototype of web portal, the study demonstrates the usefulness of the proposed multiple perspective system approach in the decision context of collaboration and knowledge sharing.

The general finding from this study is that the multiple perspectives approach to supplier selection enables the decision makers to actively participate and fully understand the decision‐making process through knowledge sharing which in turn ensures high quality of the final decisions.

Supplier selection decision makers can make more informed decisions through collaboration among all decision‐making participants in the multiple perspectives. It informs supply chain managers of the potentially positive effect of knowledge sharing on the decision‐making process in supplier selection.

Multiple perspectives decision making provides a novel approach that emphasizes on the knowledge sharing and collaboration between the experts, who are familiar with the supplier relations, and the decision makers who are responsible for the final decisions.

Boundary spanners link their internal organization with its external environment. In the present research, the authors study supply managers who build a bridge between a large original equipment manufacturer (OEM) and its network of suppliers. The purpose of this paper is to explore how boundary spanners mediate between internal (buyer) and external (supplier) managers in supplier development (SD) initiatives.

This paper adopts a qualitative case method to study an OEM pursuing multiple SD initiatives with multiple suppliers simultaneously. Data consist of interviews and non-participant observations conducted over a period of 14 months.

The findings of this paper highlight the mediation tasks that emerge at the organizational interface in advanced SD undertakings. Based on the analysis, this paper demonstrates how the nature of three core boundary-spanning activities, information mediation, reaching compromises and strategic communication, differ in four general SD conditions.

The present paper advances the understanding of individual-level buyer–supplier tensions in SD. It makes a theoretical contribution that sits in the intersection between boundary spanning and SD.

This paper increases managers’ knowledge of a range of required SD mediation activities and provides an overview of where they unfold.

This paper breaks new ground by creating knowledge that extends beyond four dominant trends in SD research: SD as organizational-level behavior, SD as a generic set of activities, SD as a single performance improvement area and SD as a dyadic management task.

Examines the combinations available to purchasers regarding the selection of suppliers (sources), e.g. the use of a single or two or more (multiple) sources. Considers the justification of either method in the context of reducing the uncertainty (risk) of a particular purchase. Illustrates the marketers view of sourcing and the differing sales tactics employed according to the suppliers′ preferences. Concludes that purchasers should examine uncertainty buying‐selling situations (UBSS) objectively with regard to their own organizations′ need criteria, e.g. cost and timeliness, this determining the relevant sourcing policy.

This paper attempts to address three key objectives. The primary aim is to enhance sourcing strategy for a centralized and coordinated multitier multiple suppliers networks with uncertain demand and supplier failure risks. The second objective is to enumerate all possible practical supplier(s) failure scenarios and quantify expected loss of demand cost. Finally, the work illustrates statistical experimentation to identify “influential” variables that can significantly impact the expected supply network and loss costs.

A seven-step solution framework is proposed to derive an optimal sourcing strategy for the specific network configuration with varied supplier failure scenarios. Five distinct models are formulated to address all possible scenarios of supplier failure events. Mixed-integer nonlinear programming technique is used to derive expected supply network cost and loss cost. The solution framework is verified using a real-life case.

A cross-case analysis indicates that an increase in suppliers' failure risk (SFR) probabilities or customer demand rate increases the expected loss of demand costs for a multitier supply network. Besides, an increase in unit component prices increases the expected supply network cost.

A two-tier automotive supply network for a single product is considered for all case studies.

The enhanced strategy can facilitate practitioners enumerate different supply network failure scenarios and implement the best solution.

There is no evidence of earlier research to derive optimal sourcing strategy for a centralized, coordinated multitier multiple supplier's network, considering demand uncertainties and SFR.

To better understand the supplier's role in promoting supply chain sustainability (SCS), the authors investigated the learning process as it relates to sustainability knowledge. Through the lens of the knowledge-based view, they understand the shift of sustainability knowledge from rhetoric to common knowledge existent between suppliers and buyers.

A case study method was employed to study sustainability knowledge learning between a key global coffee supplier and its geographically dispersed buyers. The research was developed with data collected from 2019 through 2021. Interviews and secondary data were analyzed using both deductive and inductive approaches.

Results were organized to demonstrate how the supplier developed and transferred its own sustainability knowledge within supplier–buyer dyads. The authors uncovered that buyer selection was a vital strategy used to appropriate the value created to ensure SCS learning. Four learning stages were analyzed, and while the results indicated that all buyers acquired knowledge, they also showed that only four distributed it. Moreover, different levels of interpretation were identified, two of which were associated with a low level of understanding of the meaning of sustainability knowledge. In addition, the data provided little evidence of organizational memory. All links were guided by common sustainability knowledge learned through multiple learning loops between the supplier's knowledge management and buyers' SCS learning, thus boosting sustainability in the coffee supply chain.

A greater understanding of how sustainability knowledge is learned in supply chains helps managers develop better SCS strategies.

Unlike previous research, this paper illustrates that common sustainability knowledge is key to SCS implementation, which is made possible by carefully selecting buyers and by facilitating sustainability knowledge learning through two-way interactions.

Market trends have offered an incentive to retailers to differentiate product assortments by region, whilst new developments in purchasing technology have enabled retail buyers to fragment orders by region and even by store and to tranship between regions. Reports on an initiative to take advantage of recent developments and to facilitate the access of small, regionally‐based suppliers to retail food multiples through a series of Meet the Buyer events. Presents preliminary results of a survey of 123 small suppliers and 28 retail buyers who have participated in these events.

The purpose of this paper is to explore a manufacturer's strategy to coordinate efforts of multiple suppliers' involvement in the product development process. The paper also proposes critical factors in determining the appropriate coordination strategy.

Based on the synthesis of the literature and relevant theories, a typology of coordination strategies is developed. Propositions are developed pertaining to the performance implications of the coordination strategies and the key determinants of the effectiveness of the coordination strategies.

Four ideal types of coordination strategies are: centralized‐programming, centralized‐feedback, decentralized‐programming, and decentralized‐feedback. Prior research and recently reported industry examples indicate that a manufacturer's coordination with multiple suppliers varies in terms of the information‐processing structure and the locus of control. The effectiveness of a manufacturer's coordination strategies is influenced by the extent of component modularity, product complexity, technology uncertainty, and the technical capability of suppliers.

The four coordination strategies involve trade‐offs on certain performance dimensions. Decentralized‐programming promotes process efficiency, while centralized‐feedback facilitates problem solving. Centralized‐programming favors integrative product design, while decentralized‐feedback favors innovation from supplier's technical expertise.

While research on supplier involvement in product development has primarily focused on a single supplier's integration in the process, this paper extends understanding of multi‐organizational coordination by applying information‐processing decision‐making theories to the product development context.

The purpose of this paper is to study various combination forms of the three basic sharing elements (i.e. orders sharing, manufacturers capacity sharing and suppliers capacity sharing) in the cluster supply chain (CSC), formulate a distributed model to protect enterprises’ decision privacy and seek to develop an effective method for solving the distributed complex model.

A distributed assembly cluster supply chain configuration (ACSCC) model is formulated. An improved augmented Lagrangian coordination (ALC) is proposed and used to solve the ACSCC model. A series of experiments are conducted to validate the improved ALC and the model.

Two major findings are obtained. First, the market order’s quantity change and the sales price of the product have a great impact on both the optimal results of the ACSCC and the cooperative strategy, especially, when the market order increases sharply, enterprises have to adopt multiple cooperative strategies to complete the order; meanwhile, the lower sales price of the product helps independent suppliers to get more orders. Second, the efficiency and computational accuracy of the improved ALC method are validated as compared to the centralized ALC and Lingo11.

This paper formulated the single-period ACSCC model under certain assumptions, yet a multi-period ACSCC model is to be developed, a more comprehensive investigation of the relationships among combination forms is to be extended further and a rigid proof of the improved ALC is necessary.

Enterprises in the industrial cluster should adopt different cooperative strategies in terms of the market order’s quantity change and the sales price of the product.

The proposed various combination forms of sharing elements and the formulated ACSCC model provide guidance to managers in the industrial cluster to choose the proper policy.

This research studies various combination forms of the three basic sharing elements in the CSC. A distributed ACSCC model has been established considering simultaneously multiple sharing elements. An improved ALC is presented and applied to the ACSCC problem.

In the era of market turbulence, sourcing specialists consistently face challenges to keep the availability of the material efficiently and effectively without any disruption. Sourcing strategies and planning have a huge impact on procurement performance. The purpose of this paper is to examine the relationships among different sourcing strategies and supply risk management and performance and additionally, the role of procurement practices in different strategic settings.

This is empirical research that collected data gathered from 223 procurement specialists working in various manufacturing firms through a structured questionnaire. Valid data is then analyzed through the structure equation modeling technique for hypotheses testing.

The findings of this study reveal that supplier development is a partial complementary mediator between multiple supplier strategy and supply-side risk management. While in a volatile business environment, strategic supplier strategy has a significant negative impact on supply-side risk management, and in this case supplier development acts as a competing partial mediator between the two. Contract management has resulted in an important mechanism to be deployed in a strategic sourcing strategy. It is also shown that supplier risk management is also associated with improved supply management performance.

This paper establishes an explanation of theoretical and practical understanding of sourcing strategies and empirically shows that supplier development is the appropriate mechanism to deal with supply-side risk management, which in turn positively impacts on supplier management performance.

This study contributes to supply chain risk management literature, especially in the context of strategic risk management and explains how a strategic decision can impact supply risk management. This provides a piece of empirical evidence regarding the use of well-established procurement practices to improve supply performance.