Search results

This study aims to develop a moderated mediation model to explain the practices of supply base management and how they can achieve innovation performance, and the authors explore the boundary conditions of this implementation mechanism.

The authors used the bootstrap procedure to conduct empirical tests on 328 Chinese manufacturers to verify the proposed model.

The results showed that supplier innovation focus, supply-base structuring and long-term relationship focus have a positive impact on innovation performance through supplier innovativeness, and the mediation performs differently under technology and demand uncertainty.

The authors only focused on innovation performance, and it does not explore the links between supply base management and other performance outcomes. This study involves part of the supply network which is easier to manage, i.e. supply base. The authors ignored the importance of other members in supply network. Finally, the data obtained in this study belong to the cross-sectional data during the same period but it accomplishes the research aim well.

The focal firm needs to improve their supply base composition, establish permeable organizational boundaries, and build long-term strategic partnerships characterized by equality and trust with suppliers to stimulate supply base members to make innovative contributions.

This study complements the implementation path of manufacturers around innovation, emphasizing multidimensional characteristics of supply base management. And this study clarifies the mechanism and boundary conditions between supply base management and innovation performance.

Some studies have suggested that a supply chain augmented with information technology (IT) has a positive effect on performance in the marketplace. However, these studies have not explained how the IT-based supply chain achieves this superior performance. This study aims to reveal some of the mediating influences at play: the new product development (NPD) activities of product launch, product innovativeness and product development capability.

Taking the electronics manufacturer’s perspective, this study took a resource-based view to propose that NPD activities are affected by IT advancement and that IT-based supply chain architecture is a critical resource that ultimately affects new product performance. Thus study focuses on product launch, because this is the most expensive and risky stage of NPD; product innovativeness, because it plays a substantial role in achieving a competitive advantage; and product development capability, because it leads to superior product performance. A questionnaire was used to collect data from managers of projects, products and supply chains of computer and communication electronics manufacturers; 235 valid questionnaires were returned. These data were subsequently analyzed using a variety of statistical methods.

The results support that manufacturers’ IT resources enable them to enhance NPD activities effectively with their suppliers, and that NPD activities play a key role in moderating the relationship between IT-based supply chains and new product performance.

This paper provides an empirically tested model of how IT-based supply chain architecture can lead to superior new product performance through product lean launch, product innovativeness and product development capability.

This paper aims to examines the moderating effect of small vs large supply base size on the relationship between strategic sustainable purchasing (SSP) and organizational sustainability performance (OSP). SSP is conceptualized as a dynamic capability consisting of strategic purchasing and environmental purchasing. Environmental collaboration is conceptualized as a mediator between SSP and OSP. Extant research has not examined the effect of the size of the supply base on the relationship between SSP and OSP.

The hypothesized relationships are tested using a two-step multi-group analysis in partial least squares-structural equation modeling (PLS-SEM).

A small supply base size positively moderates the relationship between SSP and environmental collaboration, thus achieving OSP. In contrast, when the supply base is large, strategic purchasing is positively associated with environmental collaboration, while environmental purchasing is negatively related to environmental collaboration. A large supply base has a positive relationship to environmental collaboration and economic sustainability, while the relationship between environmental collaboration and environmental and social performance is not significant.

This research argues that despite the nuances in the moderating effects of small versus large supply base size, managers need to invest in both dynamic and relational capabilities to achieve organizational sustainability.

Scant research is available in supply chain management research that has examined the important effect of the supply base size on the relationship between SSP and OSP. This research aims to fill this gap. The study helps practitioners understand the effects of supply base sizes for their organizations, increase interrelationships among suppliers, reduce the level of differentiation among them, and, thereby, reduce costs and increase revenues.

The study investigates how supply base structural complexity influences both supply chain agility and resilience. It employs Normal Accident Theory and Portfolio Theory to disentangle the effects of three structural facets of complexity – numerousness; technical and functional diversity; geographical distribution of suppliers – on the two capabilities simultaneously.

The study is grounded in the Italian footwear industry. 31 manufacturing firms with their global supply base have provided a cross-sectional time series database over a 10-year period (310 observations).

The results show that supply base numerousness has nonlinear effects on both supply chain agility and resilience. The directions of these effects are opposites. They also show that supply base diversity has an inverted U-shaped effect on supply chain agility while it is insignificant for resilience. Finally, the results show that suppliers' geographical dispersion is detrimental to both capabilities.

This is the first study that considers the multifaceted effects of supply base complexity on both supply chain agility and resilience. In doing so, it also sheds light on some of the most common trade-offs that firms address when they seek a balance between different strategies, such as increasing agility without damaging supply base resilience and vice versa. Considering the resource constraints firms normally face, by disentangling the dual effects of each complexity facet, this study helps decision-makers to develop scalability and leverage the supply base characteristics in order to survive and prosper in uncertain markets.

While numerous articles have stressed the importance of developing and maintaining supply networks, there is still a dearth of studies that address how supply networks arise and change over time. The purpose of this article is to describe and conceptualise how a firm initiates the development of a supply network, and how the structure of the firm's supply network and supply base change over time as a consequence of the type and duration of initiative taken?

Empirically, the article is based on a longitudinal, single case study, which is real‐time, theory‐led and contextual. The case study concerns the efforts of a main contractor (within the construction industry) who changed its sourcing strategy, initiated the development of a supply network, and restructured part of its supply base. Theoretically, the article reviews both supply base and supply network management literature, highlights important issues related to both concepts, and discusses similarities and differences between them.

It is possible to discern between supply network initiatives of more permanent versus more temporary character. Supply network initiatives of a more permanent character comprise the establishment of, for example, organisational structures, functions, manuals and (explicit) routines aimed at continually supporting the maintenance of the supply network. Supply network initiatives of a more temporary character are organised as projects and aim to set in motion a process that may result in the creation of a supply network which develops over time without institutionalised network support structures. A single temporary supply network initiative is useful to consider in relation to the pre‐initiative stage, the ongoing initiative stage and the post‐initiative stage of the initiative. Furthermore, supply networks may be managed through an emergent series of temporary supply network initiatives aimed at supporting the supply network as it emerges over time in a changing context.

Managers may benefit from considering whether a supply network initiative is of a more permanent or a more temporary nature. If it is of a more temporary character, managers may consider analysing the initiative in its pre‐initiative, ongoing initiative, and post‐initiative stages in order to reflect on and learn from the initiative. Furthermore, if the initiative is temporary but form part of a planned or an emerging sequence of initiatives, managers may search for and consider earlier initiatives which may be viewed as “experiments” in a emerging trial‐and‐error learning process aimed at managing supply networks.

The article illustrates how a temporary supply network initiative can be used as a means to instigate reform of a supply base.

Contemporary literature reveals that, to date, the poultry livestock sector has not received sufficient research attention. This particular industry suffers from unstructured supply chain practices, lack of awareness of the implications of the sustainability concept and failure to recycle poultry wastes. The current research thus attempts to develop an integrated supply chain model in the context of poultry industry in Bangladesh. The study considers both sustainability and supply chain issues in order to incorporate them in the poultry supply chain. By placing the forward and reverse supply chains in a single framework, existing problems can be resolved to gain economic, social and environmental benefits, which will be more sustainable than the present practices.

The theoretical underpinning of this research is ‘sustainability’ and the ‘supply chain processes’ in order to examine possible improvements in the poultry production process along with waste management. The research adopts the positivist paradigm and ‘design science’ methods with the support of system dynamics (SD) and the case study methods. Initially, a mental model is developed followed by the causal loop diagram based on in-depth interviews, focus group discussions and observation techniques. The causal model helps to understand the linkages between the associated variables for each issue. Finally, the causal loop diagram is transformed into a stock and flow (quantitative) model, which is a prerequisite for SD-based simulation modelling. A decision support system (DSS) is then developed to analyse the complex decision-making process along the supply chains.

The findings reveal that integration of the supply chain can bring economic, social and environmental sustainability along with a structured production process. It is also observed that the poultry industry can apply the model outcomes in the real-life practices with minor adjustments. This present research has both theoretical and practical implications. The proposed model’s unique characteristics in mitigating the existing problems are supported by the sustainability and supply chain theories. As for practical implications, the poultry industry in Bangladesh can follow the proposed supply chain structure (as par the research model) and test various policies via simulation prior to its application. Positive outcomes of the simulation study may provide enough confidence to implement the desired changes within the industry and their supply chain networks.

In this paper, the authors introduce supply disruption ambiguity as the inability of a sourcing firm to attach probability point estimates to the occurrence of and to the magnitude of loss from supply disruptions. The authors drew on the “ambiguity in decision-making” literature to define this concept formally, connected it to relevant supply disruption information deficit, positioned it relative to supply chain risk assessment and hypothesized and tested its negative associations with both supply base ties and inventory turnover.

The authors analysed survey data from 171 North American manufacturers and archival data for a subset (88 publicly listed) of these manufacturers via Ordinary Least Squares (OLS) estimation after ensuring that methodological concerns with survey research have been addressed. They used appropriate controls and employed the heteroskedasticity-based instrumental variable (HBIV) approach to ensure that inferences from our results are not unduly influenced by endogeneity.

Strong supply base ties decrease supply disruption ambiguity, which, in turn, increases inventory turnover. Moreover, strong supply base ties and data integration with the supply base have indirect and positive effects on inventory turnover. As sourcing firms strengthen ties and integrate data exchange with their supply base, their inventory turnover improves from access to information relevant to detect and diagnose supply disruptions effectively.

Research on supply disruption management has paid more attention to the “disruption recovery” stage than to the “disruption discovery” stage. In this paper, the authors add novel insights regarding the recognition and diagnosis aspects of the “disruption discovery” stage. These novel insights reveal how and why sourcing firms reduce their overall ambiguity associated with detecting and assessing losses from supply disruptions through establishing strong ties with their supply base and how and why reducing such ambiguity improves inventory turnover performance.

The purpose of this paper is to delve into the intricate depths surrounding the development of sustainable supply chains by conceptualizing the elemental aspects of superior performance in sustainable supply chain management (SSCM).

The paper is conceptual in nature and is grounded in the theories of SSCM and knowledge-based view.

The findings outline the elemental background processes governing the implementation of SSCM practices and superior performance outcomes. The conceptualization suggests that the superior performance of a sustainable supply chain is elementally dependent on the intricate efforts – to enrich the supply chain knowledge base with perspectives on SSCM. Thereby, these intricate efforts are delineated along the arcs of supply chain leadership, supply chain learning orientation, supply chain knowledge management (SCKM) and supply chain knowledge transfer. As such, while an SSCM orientation within the supply chain leadership is helpful in offsetting the inertia among the supply chain members to channelize intricate efforts in SSCM, the SSCM-based supply chain learning orientation further orientates the SSCM efforts of supply chain members toward the excavation of new knowledge in the frame of SSCM. Subsequently, the arcs of SSCM-based SCKM and SSCM-based supply chain knowledge transfer characterize the finer spaces of knowledge excavating actions, essential for enriching the supply chain knowledge base with perspectives on SSCM.

This conceptualization facilitates intriguing theoretical explanations to the linkage between SSCM implementation and superior performance outcomes. Specifically, from the knowledge-based angle, it delineates the root causes governing the superior/inferior nature of SSCM outcomes.

The purpose of this paper is to empirically evaluate the effect of resources and capabilities in purchasing and supply management (PSM) on operational performance. Specifically, to examine whether managers who neglect investments into key knowledge‐driven PSM resources will be foregoing the opportunity for a higher performance return from their core supplier‐related capabilities.

Based on an international cross‐industry survey of 273 major companies, two conceptual models grounded in the resource‐based view (RBV) theory are analyzed for moderation and mediation effects, and provide both researchers and practitioners with means of determining targets for investment prioritization. The models are tested using multiple regression techniques and structural equation modeling.

The authors' findings suggest that the impact of supply base practices on operational performance is stronger in firms where more advanced PSM resources are deployed; and that these improvements can be explained by a higher leverage of supply base practices on advanced PSM resources.

The paper documents the combined positive effect of knowledge‐driven resources and supplier‐related capabilities on operational performance. Additional resources and capabilities, e.g. PSM integration, deserve further research. A longitudinal survey of relationships would help us to gain a better understanding of sequential relationships between the examined constructs.

This paper will help to guide senior management in balancing investment decisions for PSM development. The applied measurement model can be used to identify specific potential of improvement in individual organizations that can lead to increased operational performance.

The simultaneous consideration of moderation and mediation based on the RBV's conceptualization of resources versus capabilities provided a contribution in PSM. The results support management in maximizing the return of investments into PSM.

The purpose of this paper is to propose an approach that integrates three complementary perspectives, multi-agent systems, fuzzy logic and case-based reasoning. Unsatisfied customers, information overload and high uncertainty are the main challenges that are faced by today’s supply chains. In addition, a few existing agent-based approaches are tied to real-world supply chain functions like supplier selection. These approaches are static and do not adequately take the qualitative and quantitative factors into consideration. Therefore, an agent-based framework is needed to address these issues.

The proposed approach integrates three complementary perspectives, multi-agent systems, fuzzy logic and case-based reasoning, as a common framework. These perspectives were rarely used together as a common framework in previous studies. Furthermore, an exploratory case study in an office furniture company is undertaken to illustrate the value of the framework.

The proposed agent-based framework evaluates supply offers based on customers’ preferences, recommends alternative products in the case of stock-out and provides a collaborative environment among agents who represent different supply chain entities. The proposed fuzzy case-based reasoning (F-CBR) approach reduces the information overload by organizing them into the relevant cases that causes less overall search between cases. In addition, its fuzzy aspect addresses the high uncertainty of supply chains, especially when there are different customers’ orders with different preferences.

The present study does not include the functions of inventory management and negotiation between agents. Furthermore, only the case description and case retrieval phases of the case-based reasoning approach are investigated, and the remaining phases like case retaining, case reusing and case revising are not included in the scope of this paper.

This framework balances the interests of different supply chain structural elements where each of them is represented by a specific agent for better collaboration, decision-making and problem-solving in a multi-agent environment. In addition, the supplier selection and order gathering mechanisms are developed based on customers’ orders.