Investigating the value of information sharing in multi-echelon supply chains

Under the structure of multiple business entities, supply chain management (SCM) offers the external and internal integration of business processes in enterprises. The most important objective of SCM is to enhance the supply chain performance such as reinforcing the service level and increasing profit as well as reducing order cycle time and inventory. In recent years, due to the advancement of information technology, enterprises can manage the product flow and the information flow via economical and efficient mechanisms. The well-organized information sharing can enhance the supply chain performance and allow enterprises to refine their strategies of supply chain in order to maximize their profits. The previous studies pointed out the positive effect of information sharing on the efficiency of supply chain. However, relatively little literature focuses on the performance analysis for multi-echelon supply chain with various information sharing scenarios. By using the simulation technique, this paper models different scenarios of information sharing, and further analyzes the impacts of information quality on multi-echelon supply chain performance. In addition, this paper employs Data Envelopment Analysis (DEA) to integrate multiple performance measures to ensure the information sharing scenarios with enhanced performance.     

Reshoring: a strategic renewal of luxury clothing supply chains

This paper contributes to the emerging literature on reshoring by taking a value-driven enquiry into the renewal of supply chain strategy. It enhances the understanding of the use of reshoring in generating the value demanded by a changing business model. An iconic British high-end clothing brand, Burberry, is the chosen case study to explore the recent move towards reshoring because its changes of leadership, business model and evolving supply chain strategy from 1997 to early 2016 provide a timely and pertinent context. Burberry has continued to realign its business towards a brand-led and customer-centric model along with restoring its corporate heritage and core brand values. The changes in Burberry’s business model triggered the need to renew and realign its supply chain strategy through consolidating and rebuilding manufacturing activities back in the UK, in order to support its brand repositioning as quintessentially British and the company’s refocus on heritage products. The increased managerial control in the supply chain together with the close proximity of design and manufacture enables the promise of quality and brand provenance to be fulfilled. The renewal of Burberry’s supply chain strategy has contributed to an increase in revenues and brand values. These findings suggest that the renewal of supply chain strategy through reshoring and increasing control in supply chain operations can enhance value and firm competitiveness.     

Group bargaining in supply chains

Review of Economic Design - We consider a vertical supply chain in which a monopoly retailer produces a good by assembling a number of essential components each of which is owned by a monopoly....     

Perspectives on risk management in supply chains

Managing risk in supply chains is an important topic in supply chain management. The topic's importance is due to several industry trends currently in place: increase in strategic outsourcing by firms, globalizations of markets, increasing reliance on suppliers for specialized capabilities and innovation, reliance on supply networks for competitive advantage, and emergence of information technologies that make it possible to control and coordinate extended supply chains. This article identifies some important aspects of risk management in supply chains and summarizes the four articles that are in this special issue. This emerging area of research interest deserves considerable attention and it is our hope that the articles in this special issue would spur additional research on this important topic.     

Outbound open innovation in bio-pharmaceutical out-licensing

Our study investigates the outbound open innovation of firms engaged in technological venturing. Leveraging insights from the sociology theory and innovation literatures, we clarify whether social status helps entrepreneurial ventures overcome market imperfection and information asymmetry in out-licensing and illustrate the importance of specific aspects of social status building in this context. We also examine the effect of failure experiences on out-licensing. We take a dynamic view of desorptive capacity by studying an entrepreneurial venture’s learning process, both internally, in terms of its own technology trajectory, and externally, through inter-organizational alliances. We apply a negative binomial model to our novel panel of 180 firms studied over an 18-year period with controls for stocks of clinical development activities, patenting and prior licensing activities. Empirical analysis enables us to observe the impact which the firms’ technological and development status, reputation and desorptive capacity exert upon out-licensing volume. Prior outbound open innovation studies do not account for the heterogeneity of technology and R&D success and failure experiences observed in our study. We also demonstrate the contingency effect of external learning from alliances during the building-up of a firm’s desorptive capacity, or the way in which the number of co-authoring partners in scientific publications negatively moderates the positive effect of the number of commercial alliances on the volume of its out-licensing deals. Our findings contribute to the understanding of external knowledge exploitation and complement important aspects of the literatures on outbound open innovation and desorptive capacity, offering empirically rich insights for bio-pharmaceutical firms into the drivers behind volumes of out-licensing deals.     

Optimal money supply in models with endogenous discount factor

This paper studies the Friedman rule for the optimal quantity of money in money in the utility (MIU) and cash–credit models while considering two specifications for the endogenous discount factor. In the first specification, the discount factor depends directly on the utility level. In the second, the discount factor depends on every component of the utility function. We show that under the former specification the Friedman rule is the optimal policy. Under the latter, however, while the Friedman rule is optimal for the MIU model, it is not optimal for the cash–credit model.     

Government subsidy provision in biomass energy supply chains

ABSTRACT

This paper investigates the government’s optimal subsidy provision strategy for a biomass energy supply chain that consists of the power plant, the villagers’ committee and farmer. We examine three possible subsidy provision strategies depending on which party (the power plant, the villagers’ committee or the farmer) the government chooses to subsidise, and compare how it can influence the government’s target by assuming that the subsidy price is exogenously given. We also extend our findings when the government can endogenously determine the subsidy price. Moreover, our analyses reveal the optimal stakeholder selection strategy for each party to maximise its payoff.     

Proactive planning for catastrophic events in supply chains

Supply chains are increasingly vulnerable to catastrophic events such as hurricanes or terrorist attacks. This is not only true because firms are more exposed to catastrophes, but also the result of investments made in recent years to operate supply chains with fewer human and capital resources, especially inventory. Consequently, there is today less “slack” available in supply chains to deal with catastrophic events. Thus, proactively planning for these types of events should be a priority for supply chain managers. A catastrophic event has a very low probability of occurrence but has significant consequences if it does occur. The goal of this research is to develop a process to proactively plan for catastrophic risk events through an integration of diverse research streams related to the management of risk. In particular, the proposed process builds upon an existing risk analysis framework by incorporating an innovative methodology used by the insurance industry to quantify the risk of multiple types of catastrophic events on key supply chain locations.     

Quality in competitive fresh produce supply chains with application to farmers' markets

Fresh produce supply chains have special characteristics, notably, that the quality of the product (fruit or vegetable) deteriorates continuously over time, even under ideal conditions. In this paper, we begin with explicit formulae for fresh produce quality deterioration based on chemistry and temperature and provide a path-based framework. We then focus on farmers' markets, the popularity of which has been growing due to consumers' greater awareness of and interest in product quality and emphasis on health. Farmers' markets, as examples of direct to consumer channels and shorter supply chains, are studied in the framework of game theory in both uncapacitated and capacitated versions. A case study of apples in Massachusetts, under various scenarios, including production disruptions, provides quantitative evidence of the applicability of our supply chain network approach.     

Market competition and pricing strategies in retail supply chains

This study provides a better explanation for the continued prevalence of high–low (Hi–Lo) pricing strategy. We investigate the impact of market competition on adopting two different pricing strategies in the retail industry: everyday low price (EDLP) strategy and Hi–Lo strategy. We developed two analytic models using a game-theoretic modeling approach: the profit maximization model and the sales revenue maximization model. We then conducted an econometric analysis based on retail store-level dataset. The result shows that an EDLP player's equilibrium price depends highly on the cost level rather than competitor's price whereas the Hi–Lo player's equilibrium price depends mainly on the range of promotional basket as well as the cost level.     

Antecedents of supply chain visibility in retail supply chains: A resource-based theory perspective

Although visibility has become a popular buzzword in the supply chain literature it remains an ill-defined and poorly understood concept. It is assumed that if companies across supply chains have visibility of demand, inventory levels, processes, etc., that organizational performance improves. This research explores the antecedents of high levels of supply chain visibility from a resource-based theory perspective across five different external supply chain linkages. We find that the level of visibility across these linkages differs considerably based on various contributing factors which are both technology and non-technology based. Using resource-based theory, we identify those factors that can give a sustainable competitive advantage to a supply chain linkage through a “distinctive” or high level of visibility.     

Orchestrating distributed data governance in open social innovation

Open Social Innovation (OSI) involves the collaboration of multiple stakeholders to generate ideas, and develop and scale solutions to make progress on societal challenges. In an OSI project, stakeholders share data and information, utilize it to better understand a problem, and combine data with digital technologies to create digitally-enabled solutions. Consequently, data governance is essential for orchestrating an OSI project to facilitate the coordination of innovation. Because OSI brings multiple stakeholders together, and each stakeholder participates voluntarily, data governance in OSI has a distributed nature. In this essay we put forward a framework consisting of three dimensions allowing an inquiry into the effectiveness of such distributed data governance: (1) openness (i.e., freely sharing data and information), (2) accountability (i.e., willingness to be held responsible and provide justifications for one's conduct) and (3) power (i.e., resourceful actors' ability to impact other stakeholder's actions). We apply this framework to reflect on the OSI project #WirVsVirus (“We versus virus” in English), to illustrate the challenges in organizing effective distributed data governance, and derive implications for research and practice.     

Contrasting FOR and WITH factor chains: The case of material supply chains and human factor chains in Guatemalan nongovernmental organizations

Nongovernmental organizations (NGOs) have varied success in meeting the challenges of disasters in Antigua, Guatemala. This research uses the TO–FOR–WITH model based on nine criteria that separate surviving NGOs from transient NGOs. Two Guatemalan NGOs, Corazon de los Nino and Sonidos para la Vida, are used to validate the model. The two NGOs differ on three of the nine criteria in the TO–FOR–WITH model. Corazon meets all nine criteria and is considered a WITH organization using local sources for employment, supplies, and logistics. Sonidos is a FOR organization because it falls short in the three categories of bilateral communication, residual intelligence, and post hoc deployment. The criteria were found to distinguish the two NGOs in meaningful ways. However, two cases are not sufficient for theory building. We distinguish between factor chains and material supply chains, a distinction that is especially salient for humanitarian services, which are the primary offerings of many NGOs. No prior studies have tested this recent model and no previous studies have addressed the distinction between material supply chains and factor chains. Additional research is needed including expanding to other NGOs, other countries, and other settings.     

A data-driven decision support system with smart packaging in grocery store supply chains during outbreaks

The unexpected emergence of the COVID-19 pandemic has changed how grocery shopping is done. The grocery retail stores need to ensure hygiene, quality, and safety concerns in-store shopping by providing “no-touch” smart packaging solutions for agri-food products. The benefit of smart packaging is to inform consumers about the freshness level of a packaged product without having direct contact. This paper proposes a data-driven decision support system that uses smart packaging as a smart product-service system to manage the sustainable grocery store supply chain during outbreaks to prevent food waste. The proposed model dynamically updates the price of a packaged perishable product depending on freshness level while reducing food waste and the number of rejected customers and maximising profit by increasing the inventory turnover rate of grocery stores. The model was tested on a hypothetical but realistic case study of a single product. The results of this study showed that stock capacities, freshness discount rate, freshness period, and quantity discounts significantly affect the performance of a grocery store supply chain during outbreaks.     

Sustainable reverse supply chains and circular economy in multichannel retail returns

The percentage of products being returned in multichannel retail are high and further increasing, yet many retailers and manufacturers are unaware of the importance and scale of this issue. They consider dealing with returns as a cost of doing business and are oblivious of the potential for conflicts between their corporate social responsibility commitments and their returns practices. This article investigates how far sustainable practices and circular economy concepts have been implemented in retail returns systems; it identifies vulnerabilities, barriers, and challenges to the implementation of sustainable, circular practices and suggests ways to overcome them, as sustainability, loss prevention, and profit optimisation can go hand in hand with the right approach to the organisation of the reverse supply chain. Implications of this research on strategic management are outlined. The research was conducted using in‐depth interviews and observations with four major retailers in the United Kingdom, 17 structured interviews, 100 retailer website reviews, and three retail community workshops, all with British and other European retailers.     

Practices and strategies for sustainability-related risk management in multi-tier supply chains

This study investigates how sustainability-related risks are managed in multi-tier supply chains. It focuses on the strategies and practices that companies use to manage sustainability-related risks and how these differ between supply chains and supply chain tiers. We use a multiple-case study with 25 companies forming 5 multi-tier supply chains. As a result of this study, we present a conceptual framework for sustainability-related risk management practices in multi-tier supply chains and apply it empirically by defining sustainability-related risk management profiles for the case supply chains. We show that in multi-tier supply chains, companies need direct and indirect collaboration and direct and indirect monitoring practices for managing sustainability-related risks emanating from not only their first-tier suppliers but also lower-tier suppliers. Our framework helps purchasing and supply chain managers understand the dimensions of sustainability-related risk management in a multi-tier setting and develop strategies and practices for mitigating and managing those risks. We also empirically show the challenge of extending sustainability-related risk management practices beyond first-tier suppliers due to the different practices in different supply chain tiers.     

The selection of contracts in supply chains: An empirical analysis

This paper seeks to empirically identify the key drivers for firms in selecting a contract in a supply chain by investigating their performance, supply chain orientation, and supply chain integration. A conceptual model is drawn up based on the existing literature in supply chain coordination contracts, performance, supply chain orientation, and supply chain integration and tested on a large sample of European firms. Multiple and multinomial logistic regression models allow for estimating the relationships between these variables. Our results demonstrate that the selection of contracts and the probability of their adoption depend on several combinations of firms' performance, supply chain orientation, and integration. Overall, the research provides an empirical contribution to the literature on coordination with contracts, which turns out to be mainly game theory based.     

Valuing time in supply chains: Establishing limits of time-based competition

Over the past two decades the growth in international trade and the offshore migration of US manufacturing have created global supply chains with longer lead-times and slower response. This suggests that traditional supply chains have encountered limits to time-based competition in which the cost of faster replenishment exceeds the benefits. This paper explores and quantifies those limits to time-based competition in make-to-stock supply chains for functional products (products with stable demand over relatively long life cycles).     

The role of credit supply shocks in pacific alliance countries: A TVP-VAR-SV approach

This paper analyzes the effect of loan supply shocks on the real economic activity of Pacific Alliance countries using a Time-Varying Parameter VAR with Stochastic Volatility (TVP-VAR-SV) model which is identified by sign restrictions. Two main results arise from the analysis. First, loan supply shocks have an important impact on real economic activity in all Pacific Alliance countries: about 1% in Colombia, Mexico, and Peru, and about 0.5% in Chile. Thus, its contribution to business cycle fluctuations is similar to that of aggregate supply shocks and aggregate demand shocks in both stability and slowdown periods. Second, the power of loan supply shocks to affect economic activity do not remain constant over the time and its evolution across periods is heterogeneous among all Pacific Alliance countries. The sensitivity analysis indicates that the results of the model are robust to different priors specifications and to multiple sets of sign restrictions.     

Social innovation with open source software: User engagement and development challenges in India

A diverse range of innovative solutions based on Free-and-Open-Source Software (FOSS) have been developed for marginalized communities in developing countries. It has been suggested that such small-scale and home-grown solutions (e.g. mobile phone apps), usually championed by social enterprises (SEs), are more likely to introduce pro-poor change than infrastructure heavy ICT initiatives designed by state and other international actors. In the Indian context, FOSS-based social innovations (SIs) introduced by SEs are helping poor communities tackle previously thought-to-be unresolvable socio-economic problems. An interesting question, therefore, would be: in what ways is the SE model and approach uniquely equipped to develop FOSS-based SIs that deliver pro-poor change? The empirical component of the research attempts to shed light on this question by uncovering the nuts and bolts of the development methodology deployed by an SE during the coding and launch of an FOSS-based SI. Findings highlight the significant role of the founder's social vision; the challenges of accurately capturing and translating to software developers the nature and nuance of social problems; and, the incumbent issues in putting together a methodology that creates active user engagement throughout the software development process, overcoming difficult barriers such as language and culture.