The role of power and trust in spreading sustainability initiatives across supply networks: A case study in the bio-chemical industry

This paper investigates how sustainability spreads across supply networks. Adopting an Industrial Marketing & Purchasing (IMP) Interaction Approach (Håkansson, 1982), we seek to understand sustainability spread as a change process that affects different supply network actors and the impact of power and trust on the spreading process. The paper reports on an in-depth case study of the development of a sustainability initiative in the bio-chemical industry, based on data collection with multiple supply network actors across several tiers, providing unique and rich insights into understanding sustainability spread in a supply network and the perceptions of multiple supply network actors on the role of power and trust on the spreading process. Data collection comprised 20 semi-structured interviews spanning eight supply network actors, supported by secondary data such as archival records. The case study indicates that both coercive and non-coercive power as well as trust, significantly impact the actors' engagement in sustainability initiatives and its wider spread in supply networks. The paper contributes to the literature on sustainable supply chain management and IMP research on sustainability spread and, in particular, provides insights on the impact of power and trust on the process of sustainability spread across dyadic relationships into the wider supply network.     

Modeling defaults of companies in multi-stage supply chain networks

The interest in supply chain networks and their analysis as complex systems is rapidly growing. The physical approach to the topic draws on the concept of heterogenous interacting agents. The interaction among agents is considered as a repeated process of orders and production. The dynamics of production in the supply chain network which we observe is nonlinear due to the random failures in processes of orders and production. We introduce an agent-based model of a supply chain network which represents in more detail the real economic environment in which firms operate. We focus on the influence of local processes on the global economic behavior of the system and study how the proposed modifications change the general properties of the model. We observe collective bankruptcies of firms, which lead to self-emerging network structures. Our results give insight into the dynamics of default processes in supply chain networks, which have important implications both for risk managers and policy makers. Based on the simulations we show that agent-based modeling is a powerful tool for optimization of supply chain networks.     

Valorisation of a local asset: The case of olive oil on Lesvos Island,Greece

Agri-food products are more and more considered and treated as valuable local assets. The valorisation of such local assets is an issue of great importance, especially in disadvantaged areas. In this paper, the case of the olive oil of Lesvos Island in Greece is presented. We seek to analyse the supply chain and examine the benefits that are distributed to its various actors by comparing three different olive oil products: PGI, organic and conventional olive oil with the use of two dimensions: size of production and success of the producers. The data come from quantitative and qualitative research to different actors across the supply chain and from published and unpublished local and national sources. The findings indicate that olive farmers are “cut-off” from the benefits of the products to a great extent. Small bottlers are the ones that receive the most benefits, as they can ignore big retailers. Overall, the absence of consensus and common management between the different actors, along with a complex and very competitive international market create uneven impacts.     

From pond to plate: Towards a twin-driven commodity chain in Bangladesh shrimp aquaculture

Globalization of the agro-food system has led developing nations to orient their production to meet global markets. Consequently, local agricultural systems are increasingly linked to global commodity networks, and generate complex intersections and sometimes tensions. Cultured shrimp in Bangladesh is such a global commodity that connects the local producers with the global consumers starting from pond to plate via a network of diverse actors in a complex manner. Field research in Bangladesh shows that shrimp aquaculture in Bangladesh is moving towards a twin-driven commodity chain in which lead firms govern supply network, while the Shrimp Seal of Quality Organization (SSOQ), a recently emerged third-party certifier, as well as other environmental NGOs define regulatory aspects of the industry. While governance in twin-driven commodity chain offers opportunities for a sustainable aquaculture, it also poses many questions which have significant policy implications for different stakeholders involved in the chain.     

Collective action for market chain innovation in the Andes

The Papa Andina network employs collective action in two novel approaches for fostering market chain innovation. The participatory market chain approach (PMCA) and stakeholder platforms engage small potato producers together with market agents and agricultural service providers in group activities to identify common interests, share market knowledge and develop new business opportunities. These forms of collective action have generated commercial, technological and institutional innovations, and created new market niches for Andean native potatoes grown by poor farmers in remote highland areas. These innovations have benefited small farmers as well as other market chain actors. This paper describes Papa Andina’s experiences with collective action for market chain innovation. It then discusses the implications of these experiences for the understanding of collective action and the policy implications for research and development organizations.     

The evolution of cyber-insurance industry and market: An institutional analysis

The cyber-insurance (CI) market is at a nascent stage. This paper investigates how the contexts provided by formal and informal institutions affect the development of the CI industry. It highlights the nature, origin, and implications of CI-related institutions and provides insights into the mechanisms and forces that can lead to institutional changes. It offers an explanation as to how different institutional pillars related to CI progressively evolve and reinforce one another. Such a mechanism is likely to influence a range of demand and supply side factors and create a system that can accelerate the growth of the CI industry and market. The paper also investigates how contradictions generated by CI, the formation of dense networks and changing power dynamics can trigger regulative normative and cognitive changes. Since the current analysis of the causes and consequences of institutions and institutional change is mainly concerned with more established economic sectors, this paper is expected to provide insights into institutions surrounding to this new and rapidly evolving industry.     

Use of blockchain in the agri-food value chain: State of the art in Spain and some lessons from the perspective of public support.

The Common Agricultural Policy (CAP) of the European Union, in effect since January 2023, seeks to differentiate products on quality, provide greater transparency on food origin, and on the transactions and the actors involved in the supply chain. At the same time, in Spain, the adoption of new technologies for the digitization of the agri-food sector has been proposed as a solution to address structural issues such as lack of competitiveness and innovation. In fact, systems using blockchain-related technologies for food control and traceability have seen great progress in recent years and, currently, the use of blockchain in supply chain management is almost doubling year on year. In this context, this paper investigates the level of development of blockchain technology in the agri-food sector in Spain and its applications for certifying food production conditions within the supply chain, and how it is supported by public policies. It identifies several challenges that need to be addressed for a widespread adoption could take place, such as data recorded on the blockchain, lack of standards, limited scope of projects, and integration of data capture automatically or with other technologies like RFID and AI. The document proposes to reorient public development policies to address these challenges, such as reusing data from, already in place, European data collections for production control and food traceability, educating users and stakeholders about the use of blockchain technology, and fostering legal and technical provisions which ensure system transparency to facilitate a successful implementation of blockchain.     

The impact of external forces on cartel network dynamics: Direct research in the diamond industry

This paper describes the impact of external environmental forces on cartel networks. Using a case research approach, this report examines two leading business networks within one industry, over time. The results suggest that (a) bargaining power of intermediaries increases with the advent of new and powerful actors, (b) process activities that cartels previously controlled are being outsourced to new actors sometimes based in developing countries, (c) other actors are acquiring resources once dominated by a cartel, (d) external forces triggered by the illegal diamond trade, such as international regulatory constraints, no longer favour cartels like De Beers, and (e) over time, these and additional environment factors are forcing actors like De Beers who perform rigid process activities to become more flexible. For example, forces are moving cartels which relied previously on hand-picked intermediaries in highly controlled networks to market their products to adopt a flexible market-focused expansion of operations in retail contexts.     

Efficient versus Responsive Supply Chain Choice: An Empirical Examination of Influential Factors

Contemporary strategies in operations management suggest that successful firms align supply chain assets with product demand characteristics in order to exploit the profit potential of product lines fully. However, observation suggests that supply chain assets often are longer lived than product line decisions. This suggests that alignment between supply chain assets and demand characteristics is most likely to occur at the time of initial market entry. This article examines the association between product demand characteristics and the initial investment in a supply chain at the time of market entry. We characterize supply chains as responsive or efficient. A responsive supply chain is distinguished by short production lead‐times, low set‐up costs, and small batch sizes that allow the responsive firm to adapt quickly to market demand, but often at a higher unit cost. An efficient supply chain is distinguished by longer production lead‐times, high set‐up costs, and larger batch sizes that allow the efficient firm to produce at a low unit cost, but often at the expense of market responsiveness. We hypothesize that a firm's choice of responsive supply chain will be associated with lower industry growth rates, higher contribution margins, higher product variety, and higher demand or technological uncertainty. We further hypothesize that interactions among these variables either can reinforce or can temper the main effects. We report that lower industry growth rates are associated with responsive market entry, but this effect is offset if growth occurs during periods of high variety and high demand uncertainty. We report that higher contribution margins are associated with responsive market entry and that this effect is more pronounced when occurring with periods of high variety. Finally, we report that responsive market entry also is correlated positively with higher technological demand uncertainty. These results are found using data from the North American mountain bike industry.     

Integration of financial statement analysis in the optimal design of supply chain networks under demand uncertainty

Models that aim to optimize the design of supply chain networks have become a mainstream in the supply chain literature. This paper aims to fill a gap in the literature by introducing a mathematical model that integrates financial considerations with supply chain design decisions under demand uncertainty. The proposed Mixed-Integer Linear Programming (MILP) problem enchases financial statement analysis through financial ratios and demand uncertainty through scenario analysis. The applicability of the model is illustrated by using a case study along with a sensitivity analysis on financial parameters expressing the business environment. The model could be used as an effective and convenient strategic decision tool by supply chain managers.     

Contract costing in outsourcing enterprises: Exploring the benefits of discrete-event simulation

Outsourcing is a business strategy that has received much attention. An increase in outsourcing has a direct influence on the complexity of supply chain networks and on the number of contracts required to manage a supply chain. Outsourcing contracts may be entered into relatively quickly without a full understanding of the true cost implications. The research described here aims to develop tools based on discrete-event simulation to aid outsourcing companies when costing contracts. Currently available software for this type of application is reviewed. A field study is presented from the electronics sector, describing companies’ needs with respect to contract costing and how simulation could be used in the contract costing process. Simulation approaches are described for different contract costing scenarios. The paper concludes with a case study of a preliminary simulation model that has been developed to test the concept with a specific outsourcing scenario.     

Market orientation and quasi-integration: Adding value through relationships

This study explores and describes the rationales and approaches of a market orientated supply chain — labeled the “demand chain”. The objective is to develop theory by providing grounded insights into how and why managers design and implement a market orientated supply chain. Analysis of twenty field interviews uncovered three main rationales for demand chain configuration. Further, a continuum of integration typologies is presented and three key responses explored and described. These findings are discussed and implications for theory and practice are offered.     

集群供应链网络的联结模式与共治框架

集群供应链作为一类新型网络组织形式,是依托于产业集群又突破产业集群地域限制的供应链网络的集合体,集群供应链网络治理问题对集群竞争优势创造与集群持续发展有着重要作用。本文首先阐明了供应链网络与集群供应链网络的区别,进而对集群供应链网络的结构及类型进行了分析,在此基础上研究了集群供应链网络的联结模式,提出集群供应链网络共治的参与者、集群供应链网络共治框架体系及各参与主体在集群供应链共治中的作用分工,以期对集群供应链网络的治理活动起到借鉴作用。     

Supply-chain pricing—A new perspective on pricing in industrial markets

There is growing recognition that collaborative business relationships within the supply chain provide interesting opportunities for mutually increased benefit. However, while efforts on improving collaboration within the supply chain are indeed already widespread in some aspects of goods and services—for example, many manufacturers integrate their logistics function with those of their suppliers—such efforts are lacking when it comes to pricing. In contrast to the predominant position of pricing in most industries, the following article will investigate the opportunities for suppliers and customers to collaborate on pricing in order to establish mutually beneficial relationships. The article will demonstrate that this goal can only be attained when price is no longer regarded as an ex ante distributive parameter between market partners, but as a joint tool for outcome optimization within the overall supply chain process. We will clarify this new perspective with a calculation example and point out managerial implications for practical implementation.     

Reducing food waste and food insecurity in the UK: The architecture of surplus food distribution supply chain in addressing the sustainable development goals (Goal 2 and Goal 12.3) at a city level

The paradox that tonnes of food is wasted while people go hungry has raised concern from national and international authorities. In developed countries, reducing these problems has focused on surplus food distribution as a ‘win-win’ solution contributing to sustainable development goals. While the existing literature acknowledges the role of third-sector organisations, research on the supply chain of surplus food distribution and the coordination among actors is limited. This research explores actors and organisations in the value chain of surplus food distribution at the city level. Based on semi-structured interviews and participant observation, our findings highlight the need for a coordinated effort between actors as an essential arrangement to capture the value of surplus food. Despite the close cooperation, hierarchical power relationships exist between organisations in the supply chain. We unpack challenges in the surplus food supply chain, such as lack of a legislative framework for food donations and organisational sustainability issues that have forced third-sector organisations to work independently to reduce the uncertainties of food quality and quantity. We shed light on the practical implications by highlighting how multiple stakeholders could improve the efficiency of surplus food distribution.     

Digitalization within food supply chains to prevent food waste. Drivers,barriers and collaboration practices

Food supply chains increasingly rely on big-data management solutions to foster collaboration across the food supply chain and improve business performance. However, little is known about collaboration practices that actors on the digital food supply chain adopt to solve problems such as food waste, or about the drivers and barriers related to the digital transformation of the food supply chain. Most of food waste studies rely on quantitative analysis, which cannot reveal relevant details about the tensions and dynamics of collaboration. We conducted a qualitative study drawing on eighteen in-depth interviews - of managers of large multinational and local organizations covering different and relevant roles on the digital food supply chain - to investigate how organizational and food supply chain processes are affected by the digitalization of the operations along the food supply chain. By triangulating emerging findings with literature on supply chain management we discuss different views about collaborative practices for food waste prevention in the food supply chain and provide insights on how supply chain design and firms' operations have been re-conceptualized with the usage of digital technologies and on the institutional forces both limiting (barriers) and fostering (drivers) the diffusion of the digital food supply chain.     

Passing through the supply chain: Implications for market power

In this paper, we study the connection between pass-through and market power in the Brazilian Liquefied Petroleum Gas (LPG) industry. We use a state tax shock and apply a difference-in-differences strategy to estimate pass-through – at different levels of the supply chain – and an instrumented difference-in-differences strategy to estimate demand, and then feed a theoretical model to make inferences about a conduct parameter – that measures market power. We find an incomplete pass-through at the distribution level and for the supply chain as a whole, and a more-than-complete one at the retail level. Furthermore, we estimate price-elasticity of demand to be greater than one. When we feed a theoretical model of pass-through under imperfect competition with these estimates, we obtain a high conduct parameter at the whole supply chain level and an even higher one at the retail level alone. These results show that considering only the whole supply chain pass-through may lead to hasty conclusions about market power. Besides contributing to the empirical literature that connects pass-through with market power, we contribute to on-going national discussions regarding competitiveness in the LPG industry.     

"Managing" Learning by Doing: An Empirical Study in Semiconductor Manufacturing

This article examines the contributions of human resource and organizational practices to the development and supply chain management interface. It addresses this issue in the context of the semiconductor industry by highlighting the importance of these practices for learning‐based improvement in manufacturing. One of the most important factors for competitiveness in the semiconductor industry is the ability to manufacture new process technologies with high yields and low cycle times. The more effective management of new process technologies within the manufacturing facility aids firms in managing production costs, volumes, and inventories. Efficient management of new process development and introduction translates into enhanced internal supply chain management performance by improving the design of internal workflows, manufacturing performance, and the acquisition and installation of new manufacturing processes. Because much of the knowledge that underpins semiconductor manufacturing is idiosyncratic, however, firm‐level differences in human resource and organizational practices are likely to have consequences for performance. The article derives learning curve models of the rate of improvement in manufacturing yield (i.e., the rate of learning) and cycle time (i.e., the speed of production) following the introduction of a new process technology in a manufacturing facility. It then tests the influence of the use by semiconductor manufacturers of teams for problem solving and intrafirm knowledge transfer, the level of internal adoption of information technology (IT), and more extensive and effective workflow and production scheduling systems on manufacturing performance. It finds that the manners in which semiconductor manufacturers allocate engineering resources to problem‐solving activities, utilize information technology in the manufacturing facility, schedule production, and control the “shop floor” influence the levels and rates of improvement in both manufacturing performance measures. The article makes several contributions to the literature on product and process development and, accordingly, to research on the product development/supply chain interface. In particular, the model of organizational‐based learning provides a better understanding of the determinants of learning‐based performance improvement. In particular, better manufacturing performance results not strictly from greater cumulative volume but also from the actions of managers that affect the organization of establishment‐level problem‐solving activities and information exchange. The article also demonstrates that human resource and organizational practices in both the development and the adoption of new process technologies improve manufacturing performance by accelerating new product introduction, improving workflow, and enhancing the efficiency of manufacturing processes.     

SCOR template—A simulation based dynamic supply chain analysis tool

The supply chain operations reference model model (SCOR) is developed and maintained by the Supply Chain Council (SCC). The SCOR model is a reference model that can be used to map, benchmark, and improve supply chain operations. SCOR template is a simulation based analysis tool, developed to capture the dynamics of supply chain operations. The first version of the SCOR template was presented in a previous article by Persson and Araldi (2009). Since the finalisation of the first article concerning the SCOR template, a second version of the SCOR template has been constructed and tested in at a case company; Alfa Laval at Ronneby, Sweden—a manufacturer of heat exchangers. Version 2 of the SCOR template is more complete than the previous version. More metrics were introduced and the return processes included. Emphasis has been on making supply chain analysis simple with the introduction of a new building block—the metric module. The case study at Alfa Laval has been based on data from a value stream mapping (VSM) and aimed at comparing different scenarios in the production networks for one specific product. The results of the comparison are one of the pieces of data that the company managers will use when deciding where to allocate production resources in the international production network.     

A relationship value perspective of social capital in networks of software SMEs

Utilizing theories on social capital, business networks, social networks and relationship value, we explore the aspects that provide specific value in relationships with different actors in the software industry. The motive for the study is the assumption that some relationships are regarded as more important than others, and companies strive to focus on fewer relationships with greater outcomes. The study is guided by the premise that social capital is a foundation for relationship value, and its identified elements differ among relationships. We take the perspective of software companies and classify their relationships with business partners into three distinctive types according to their function in the value creation process. The findings of our empirical analysis, based on a qualitative case study of eight software SMEs indicate that the aspects of social capital, like the sources of relationship value, vary systematically by the types of relationships. Thus, we are able to provide some theoretical and managerial implications on the management of small- and medium-sized companies.