How supply chain architecture and product architecture impact firm performance: An empirical examination

In order to enhance performance, manufacturing firms are building various capabilities and utilizing supply chain networks that are geographically dispersed around the globe. This study examines how decisions related to supply chain architecture and product architecture influence organizational competitiveness. Building on the co-specialization perspective, we evaluate the performance implications of product modularity and supply chain agility. While, product modularity constitutes a product configuration related to sourcing and assembling of products, supply chain agility is a supply chain configuration related to velocity (sensing, comprehending, and responding) and visibility (supplier network, internal operations, and external environment). Both the product and supply chain architectural decisions can impact performance, individually and in conjunction with each other. We empirically test the hypothesized relationships using data collected from 103 manufacturing firms. Results show that supply chain agility and product modularity directly enhance responsiveness and enable organizations to reduce cost. Furthermore, supply chain agility partially mediates the relationship between product modularity and both responsiveness and cost reduction. We elaborate on the key contributions of this study for both research and practice, discuss limitations, and also offer various avenues for further research.     

Non-coercive influence: Scale development and validation based on resource and relational paradigms

To overcome competition in an increasingly network dependent market, retailers are required to influence upstream channel partners while sustaining relationships. However, the contemporary supply chain literature has not sufficiently leveraged the resource and relational paradigms to examine influence. Grounded on resource dependency theory and commitment-trust theory paradigms, this study describes conceptualization and operationalization of a 12-item scale for measuring non-coercive influence on upstream channel partners in retail supply chain management (R-SCM) context. The study is based on responses from 547 retail professionals in India obtained over four successive surveys. Psychometric properties were assessed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The proposed scale demonstrates construct validity. Invariance-testing carried out over 4-levels of increasingly demanding equivalence confirmed cross-validation. Nomological validity of the scale was tested by evaluating association with suppliers’ intention to cooperate. The results indicate existence of three dimensions of non-coercive influence: collaborative intent, market intelligence dissemination, and operational support. Retailers can use the scale to assess their personnel's non-coercive influence behavior over suppliers.     

Optimizing the credit term decisions in supply chain finance

We study a credit term determination problem in the context of a supplier-buyer supply chain. The supplier's credit term decision is simultaneously made with its production and inventory decisions, and most importantly, it is impacted by the buyer's order quantity. We present a new game-theoretic framework to model this problem, which captures the interaction between the supplier's credit term decision and the buyer's order decision in a multi-period setting. An exact method based on nonlinear programming is implemented to obtain the optimal solutions. We apply our methodologies on a real world case. The computational results show that our approach significantly outperforms the heuristics with fixed credit terms, and either a short or a long credit term can be sub-optimal for the supplier in profitability. Our work offers the first data-driven model and solution approach that assists purchasing and supply managers to make optimal dynamic credit term decision in conjunction with production, ordering and inventory decisions in a game-theoretic setting.     

The effects of capacity reduction policy under the interest rate peg in China

Capacity reduction has been a recurrent theme in China's economic policy. The central government takes various administrative measures to remove excess capacity, accumulated mainly due to underpriced production factors and distorted incentives. I evaluate the de-capacity policy in a series of models and prove that its effects depend critically on its persistence and monetary policy regime. Under an interest rate peg, a transient policy that changes markup temporarily is ineffective and even expansionary, whereas a persistent policy is effective due to a negative wealth effect. A permanent de-capacity policy can lead to over-reactions in macro variables because the interest rate peg adds positive feedback to the economy. Therefore, the de-capacity policy has greater uncertainty under the interest rate peg. As a policy tool, it easily deviates from its target and brings about excessive volatility. However, long-run price stability and a gradually advanced de-capacity policy are conducive to the achievement of policy targets.     

Information,market power,and price volatility

We consider demand function competition with a finite number of agents and private information. We show that any degree of market power can arise in the unique equilibrium under an information structure that is arbitrarily close to complete information. Regardless of the number of agents and the correlation of payoff shocks, market power may be arbitrarily close to zero (the competitive outcome) or arbitrarily large (so there is no trade). By contrast, price volatility is always lower than the variance of the aggregate shock across all information structures. Alternative trading mechanisms lead to very distinct bounds as a comparison with Cournot competition establishes.     

Outsourcing the procurement function: Do actions and results align with theory?

Are common theories of outsourcing useful in predicting the extent of and performance gains from the outsourcing of procurement activities? Or does procurement׳s broad scope and boundary-spanning role confound successful analysis? This study applies a theoretical framework combining concepts from transaction-cost economics (TCE) and the resource-based view (RBV) to study the procurement outsourcing decisions of two hundred and eighty US-based electronics manufacturing firms. Findings suggest that TCE and RBV act in complementary ways on the procurement outsourcing decision. TCE, through fear of supplier opportunism, appears to be the primary driver of the extent to which procurement activities are outsourced. The RBV, through which the OEM׳s resource position in procurement vis-à-vis its outsourcing partner is determined, appears to be the primary determinant of the performance results of the outsourcing decision. Procurement activities are outsourced to a greater extent when fear of supplier opportunism is low, but such outsourcing is only “justified” (expected to yield performance benefits) when the OEM has a weak resource position vis-à-vis the outsourcing partner. An “enriched” TCE–RBV framework is presented and discussed as part of study results.     

Resale price maintenance for supply chains distributing products with demand uncertainty

This paper explores the economic roles of resale price maintenance (RPM) in supply chains for a specific product, when consumers have taste heterogeneity and the manufacturer faces demand uncertainty. Two transaction schemes within supply chains are compared: (1) RPM, and (2) decentralized pricing in a competitive market environment. With decentralized pricing, a manufacturer loses the incentive to produce a product in categories where the probability that the manufacturer fails to design the product as suitable to public tastes of consumers is high. However, RPM resolves the problem and induces the manufacturer to supply the good, bringing positive surplus to consumers.     

Design and planning for green global supply chains under periodic review replenishment policies

We quantify the impact of jointly optimizing strategic network design and tactical inventory planning on the cost and CO₂ emissions of multi-echelon logistics networks. The obtained insights indicate that longer optimized replenishment cycles reduce a node’s transportation cost and CO₂ emissions but increase its inventory costs. Moreover, under a fixed replenishment cycle, a node’s service level increases when supplied by a satellite warehouse. Finally: (i) the costs of implementing optimal green network design decisions could be misleading if inventory planning is neglected, (ii) greening of supply chains could become expensive, (iii) current legislative CO₂ ton prices hardly influence logistics networks.     

浅议建筑给排水实验教学的研究意义

文章通过跟踪调查实际教学中的《建筑给排水》课程,研究和寻找建筑专业课程在探究型教学模式下的应用和效果,对教学中的问题进行分析,提出适合专业教学的方法,并就如何更加完善《建筑给排水》的教学模式进行讨论。     

The effects of oil price shocks on inflation in the G7 countries

This study examines the effects of three types of oil price shocks on inflation in the G7 countries with a new method of isolating oil price shocks. Based on monthly data from January 1997 to January 2019, we find that each oil price shock has the largest effect on U.S. inflation among the G7 countries and each country’s response to oil price shocks is different. Moreover, a rolling-window analysis shows that supply shocks, demand shocks and risk shocks have dynamic effects on inflation. The effect of supply shocks on inflation is strong before the financial crisis, but weakens during the crisis. However, the effect of demand shocks increases sharply in this time. The effect of risk shocks mainly occurs during the financial crisis and the European debt crisis. In addition, this study uses two ways to verify the robustness of the results. Our empirical results have important implications for policymakers and manufacturers, since the results provide a good explanation for the response of inflation in the G7 countries to the oil price shocks from different sources.