A dyadic perspective on retailer-supplier relationships through the lens of social capital

Social capital theory has received increasing attention as a lens through which to examine supply chain relationships and the value creation process. Despite the growing application of social capital and its three dimensions, namely cognitive, structural and relational capital, to inter-organizational research, few studies in reality have taken a dyadic perspective. Using a paired sample of retailer-supplier relationships from Korean fast-moving consumer goods sector, we explore the configuration of social capital dimensions, and the impact on strategic and operational performance. The results suggest three clusters of relationships, which differ significantly on at least two of the dimensions of social capital. Furthermore, these clusters show considerable differences with respect to both operational and strategic performance, particularly at the lower levels of social capital. We also examine the impact of a disparity between the retailer and supplier with respect to different dimensions of social capital, henceforth called dissonance. Of the four clusters that emerge, interestingly, only dissonance on the cognitive dimension is related to lower operational and strategic relationship performance. In investigating the implications of dissonance for the retailer and supplier individually, our results suggest that performance differs based on the magnitude and direction of the dissonance. Our results show that consequences of having social capital or not are not necessarily the same for the retailer and the supplier

Governing Embedded Partner Networks: Certification and Partner Communities in the IT Sector

Purpose The complexity of supplier-partner networks in the Information Technology (IT) sector where large suppliers utilize thousands of authorized partners, requires that organizations reconsider their approach to governing and managing the relationships involved. Traditional dyadic approaches to governance are likely to prove inadequate. This paper investigates the relationship between network governance mechanisms and relationship performance. Specifically, we examine the contingent effect of certification of partners and the use of partner communities (as formal and informal mechanisms of network governance, respectively), on complex and embedded networks of relationships. Design/methodology/approach A model examining the effect of formal and informal network governance on the relationship between embeddedness (structural and relational) and relationship performance is developed. Data was collected from a sample of partners of leading IT suppliers in the United Kingdom and Ireland. Three-way interactions assess the contingent effect of certification and partner communities on the relationship between embeddedness and relational performance. Findings Results support the use of a combination of certification and partner communities to strengthen the link between network structure (structural embeddedness) and relational embeddedness, as well as relationship performance. Certification requires the sharing of explicit knowledge with partners whereas partner communities aid the creation and dissemination of more tacit, contextual knowledge. Furthermore, partner communities reinforce positive perceptions of fairness in suppliers’ network management practices, overcoming any perceptions of lock-in or coercive control that certification may suggest. Practical implications Certification, despite all its procedural and reputational benefits, damages partner relationships and needs to be supported by partner communities, which themselves show particularly strong benefits in enhancing network relationships. Originality/value Despite the emerging prevalence of certification and partner communities in business-to-business relationships, to date there is a paucity of research on their effects on partner relationships and performance. Organizations with an extensive network of similar partners may suffer network overload. This research shows that such organizations can manage their partner network more effectively through network governance mechanisms, thereby addressing the challenge of overload

Spatio-temporal dynamics of quantum-well excitons

We investigate the lateral transport of excitons in ZnSe quantum wells by using time-resolved micro-photoluminescence enhanced by the introduction of a solid immersion lens. The spatial and temporal resolutions are 200 nm and 5 ps, respectively. Strong deviation from classical diffusion is observed up to 400 ps. This feature is attributed to the hot-exciton effects, consistent with previous experiments under cw excitation. The coupled transport-relaxation process of hot excitons is modelled by Monte Carlo simulation. We prove that two basic assumptions typically accepted in photoluminescence investigations on excitonic transport, namely (i) the classical diffusion model as well as (ii) the equivalence between the temporal and spatial evolution of the exciton population and of the measured photoluminescence, are not valid for low-temperature experiments.Comment: 8 pages, 6 figure

Arbuscular cell invasion coincides with extracellular vesicles and membrane tubules

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Radical innovations as supply chain disruptions? A paradox between change and stability

Supply chains withstand multiple tensions, some of which are paradoxical. Radical product and process innovations bring such tensions to the forefront by disrupting supply chains. Using two illustrations, this article considers the paradoxical tension between change and stability in upstream supply chains, which becomes particularly salient after radical innovation. Furthermore, the article discusses why and how paradox theory can help firms understand and manage this pressing tension between stability and change. This article then presents future research opportunities for using paradox theory to investigate other persistent post-innovation tensions in upstream supply chains. The aim of this article is to encourage new studies that develop responses to such paradoxical tensions, an area ripe for research

PlantSimLab - a modeling and simulation web tool for plant biologists.

BACKGROUND: At the molecular level, nonlinear networks of heterogeneous molecules control many biological processes, so that systems biology provides a valuable approach in this field, building on the integration of experimental biology with mathematical modeling. One of the biggest challenges to making this integration a reality is that many life scientists do not possess the mathematical expertise needed to build and manipulate mathematical models well enough to use them as tools for hypothesis generation. Available modeling software packages often assume some modeling expertise. There is a need for software tools that are easy to use and intuitive for experimentalists. RESULTS: This paper introduces PlantSimLab, a web-based application developed to allow plant biologists to construct dynamic mathematical models of molecular networks, interrogate them in a manner similar to what is done in the laboratory, and use them as a tool for biological hypothesis generation. It is designed to be used by experimentalists, without direct assistance from mathematical modelers. CONCLUSIONS: Mathematical modeling techniques are a useful tool for analyzing complex biological systems, and there is a need for accessible, efficient analysis tools within the biological community. PlantSimLab enables users to build, validate, and use intuitive qualitative dynamic computer models, with a graphical user interface that does not require mathematical modeling expertise. It makes analysis of complex models accessible to a larger community, as it is platform-independent and does not require extensive mathematical expertise

Linking Cancer Stem Cell Plasticity to Therapeutic Resistance-Mechanism and Novel Therapeutic Strategies in Esophageal Cancer

Esophageal cancer (EC) is an aggressive form of cancer, including squamous cell carcinoma (ESCC) and adenocarcinoma (EAC) as two predominant histological subtypes. Accumulating evidence supports the existence of cancer stem cells (CSCs) able to initiate and maintain EAC or ESCC. In this review, we aim to collect the current evidence on CSCs in esophageal cancer, including the biomarkers/characterization strategies of CSCs, heterogeneity of CSCs, and the key signaling pathways (Wnt/β-catenin, Notch, Hedgehog, YAP, JAK/STAT3) in modulating CSCs during esophageal cancer progression. Exploring the molecular mechanisms of therapy resistance in EC highlights DNA damage response (DDR), metabolic reprogramming, epithelial mesenchymal transition (EMT), and the role of the crosstalk of CSCs and their niche in the tumor progression. According to these molecular findings, potential therapeutic implications of targeting esophageal CSCs may provide novel strategies for the clinical management of esophageal cancer