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In this paper, the main focus is on supply and demand auction systems with resource pooling in modern supply chain from a theoretical modeling perspective. The supply and demand auction systems in modern supply chains among manufacturers and suppliers serve as information sharing mechanisms. The purpose of this paper is to match the supply and demand such that a modern supply chain can achieve incentive compatibility and economic efficiency. The authors design such a supply and demand auction system that can integrate resources to efficiently match the supply and demand.

The authors propose three theoretic models of modern supply chain auctions with resource pooling according to the Vickrey auction principle. They are supply auction model with demand resource pooling, demand auction model with supply resource pooling, and double auction model with demand and supply resource pooling. For the proposed auction models, the authors present three corresponding algorithms to allocate resources in the auction process by linear programming, and study the incentive compatibility and define the Walrasian equilibriums for the proposed auction models. The authors show that the solutions of the proposed algorithms are Walrasian equilibriums.

By introducing the auction mechanism, the authors aim to realize the following three functions. First is price mining: auction is an open mechanism with multiple participants. Everyone has his own utility and purchasing ability. So, the final price reflects the market value of the auction. Second is dynamic modern supply chain construction: through auction, firm can find appropriate partner efficiently. Third is resources integration: in business practices, especially in modern supply chain auctions, auctioneers can integrate resources and ally buyers or sellers to gain more efficiency in auctions.

In the paper, the authors propose three theoretic models and corresponding algorithms of modern supply chain auctions with resource pooling according using the Vickrey auction principle, which achieves three functions: price mining, dynamic modern supply chain construction and resources integrating. Besides, these proposed models are much closer to practical settings and may have potential applications in modern supply chain management.

The purpose of this paper is to evaluate the rural credit demand by providing a theoretical and econometric framework which controls the problem of selection bias.

The study is conducted in Assam, India, and uses a quasi-experiment design to gather primary data. Heckman two-stage procedure and type 3 Tobit model are used to evaluate the rural credit demand.

It is observed that, in general, rural households’ credit demand is influenced by the ability and capacity to work, the value of physical assets of the borrowers as well as some other lenders’ and borrowers’ specific factors. But, the direction of causality of the factors influencing borrowers’ credit demand is remarkably different across credit sources.

The study recommends that it is possible to provide an efficient credit demand estimate through a correct theoretical and econometric framework. The possible limitation of the study can be due to the exclusion of the role of “traditional community based organizations” in rural Assam while evaluating the credit demand, and therefore, this limitation is left to future research.

The study contributes to the literature by assessing the probable differences among formal, semiformal and informal credit sources with respect to rural credit demand.

Recent trends of outsourcing in global competition make the firms vulnerable to operational risks. The purpose of this paper is to illustrate how firms implement supply chain strategies to reduce operational risks, especially risk exposure involving catastrophic events.

Drawn on risk management and supply chain research, the concepts of operational risk and the underlying demand and supply uncertainties are delineated. Then, based on literature review and numerical demonstrations, the authors evaluate the effectiveness of supply chain strategies in reducing operational risks. The paper examines the benefit of these strategies and illustrate how to setup risk pooling and dual sourcing programs.

Employing the strategies of risk pooling and dual sourcing, an agile and diversified supply chain can be built to cope with the demand or supply uncertainties and in turn reduce the operational risks.

Leaders in any organization should consider operational and supply risk critically when planning their competitive strategy. They could foster creative solutions in supply chain strategies and essentially enhance competitiveness.

The paper highlights the tension between outsourcing trend in pursuit of competitive advantage and risk exposure to catastrophic events. This paper fulfils a practical need for better understanding of how supply chain strategies could be implemented to reduce operational risks.

In the field of inventory management, it is a well‐known fact that centralisation, by sharing the risk between several entities, helps reduce the inventory required to provide a certain level of service. In practice, centralisation can be difficult to accomplish, because improvements to the system’s general performance may be achieved at the expense of some of the entities involved. This paper describes a simulation‐based methodology used to study the impacts of equipment pooling on a group of local community service centres (CLSCs) in the Montreal (Canada) region. In addition to quantifying the benefits of the pooling process, the approach allowed the stakeholders to reach an agreement by appraising various pooling scenarios and identifying the conditions that would help ensure fairness.

The purpose of this study is to examine supply network designs that large service organisations use in the residential-FM sector to respond to the organising requirements of their operating environments.

The study is theoretically grounded in the well-established literature on the organisational design and structural contingency theory. Utilising a framework of generic organising problems proposed by Miles and Snow (1978) and a multiple-case study design, the study elaborates how large service organisations organise and manage their supply networks in the Finnish residential-FM sector.

The study identifies four supply network designs that organisations use for responding to the organising problems inherent in the property and resident services domains in the residential-FM sector. These include regional production organisation, horizontal decentralisation, environment stabilisation and demand – supply pooling, reflecting the type of the service-market domain and the organisation’s service strategy.

The study contributes to the facilities management literature by expanding the field of inquiry from the commercial real estate sector into the emerging field of professional residential facility services. In particular, the study adds to the discussion on supply strategies and design, offering a service provider perspective to the organisation of service supply in housing.

Globalization and outsourcing have rendered Indian automotive companies more vulnerable to supply chain (SC) risks. Consequently, companies adopt different supply chain risk management (SCRM) strategies to mitigate SC risks. The purpose of this paper is to explore SCRM strategies in Indian automobile industry and to classify automobile firms based on SCRM dimensions.

A survey instrument on SCRM dimensions was designed and data were collected from 79 automobile firms. Principle component analysis (PCA) was performed on the collected data to derive the factors underlying SCRM dimensions. Further, cluster analysis using extracted factors as a clustering variate was performed to identify strategic groups from the given set of firms.

PCA derived seven factors, namely: avoidance, supplier development, flexibility, risk pooling, redundancy, integration and control strategies. The surveyed firms were classified into two clusters as low and high SCRM level.

A limitation of this study is that data were collected from a single industry and in a single country.

Understanding of SCRM dimensions shall increase the use of these dimensions and firms can mitigate negative effects of SC risks. The detailed operationalization of SCRM strategies highlights the importance of three strategies: avoidance, integration and supplier development. Managers’ understanding of SCRM strategies will improve the firm's performance and business excellence.

This research empirically validates SCRM strategies and investigates how these create differences among firms.

Regarding the retail internal supply chain (SC), both retailers and research are currently focused on reactive food waste reduction options in stores (e.g. discounting or donations). These options reduce waste after a surplus has emerged but do not prevent an emerging surplus in the first place. This paper aims to reveal how retailers can proactively prevent waste along the SC and why the options identified are impactful but, at the same time, often complex to implement.

The authors follow an exploratory approach for a nascent topic to obtain insights into measures taken in practice. Interviews with experts from retail build the main data source.

The authors identify and analyze 21 inbound, warehousing, distribution and store-related options applied in grocery retail. Despite the expected high overall impact on waste, prevention measures in inbound logistics and distribution and warehousing have not been intensively applied to date.

The authors provide a structured approach to mitigate waste within retailers' operations and categorize the types of barriers that need to be addressed.

This research provides a better understanding of prevention options in retail operations, which has not yet been empirically explored. Furthermore, this study conceptualizes prevention and reduction options and reveals implementation patterns.

This paper investigates Chinese agricultural insurance agents willingness to offer (WTO) livestock insurance based on the variations of eight main attributes of livestock insurance.

This study implements discrete choice experiments (DCE) with actual insurance agents who design, sell and operate livestock insurance in China. The choice experiment of this study is based on the D-optimal approach, a six-block design, with 15 cards per block and two choices per card. The sample size was 211. Econometrics results are based on conditional and mixed logit models.

The authors find that the subsidy effect is enormous; a one level increase of subsidy leads to 3.166 times higher probability to offer. This subsidy effect is important as it confirms the endogenous structure between price and quantity in insurance offering, where subsidy does not only incentivize demand but also the supply. Another main factor of insurance investigated is the impact of different coverage types on agents' WTO. The authors find that agents prefer mortality insurance the most, followed by revenue insurance and profit insurance, while Index-Based Livestock Insurance (IBLI) is the least preferred to offer. Agents' knowledge about these newer types of insurance supports their WTO as well; thus, proper education is necessary to promote the more advanced types of livestock insurance.

A limitation is that in the presence of COVID 19, and administrative issues at the local level, the sample was not randomly drawn. Nonetheless, the authors believe that there is enough diversity across participants, insurers and provinces and have done sufficient robustness checks to support results and conclusions.

This study provides further validation for the DCE research method that could potentially be applied to different analyses: using choice experiments to study insurers and reveal their preferences, through combinations of various levels of core attributes for insurance products. The findings and contribution are critical to the reform and improvement of livestock insurance in China and for insurance markets more broadly. The authors find that insurers do not place equal weights or values on insurance product attributes and do not view types of insurance equally. In other words, while farmers may hold different preferences about the type of insurance they demand, the results suggest that insurers also hold preferences in the type of insurance they sell.

So far as the authors are aware, this is the first DCE designed around the supply of insurance products with the subjects being insurance agents, marketers and executives.

The emergence and application of 3D Printing (3DP) is changing the way products are developed and reach the customer, allowing for unprecedented customisation options. Past research has focussed on the modus operandi of the technology, providing indications for wider future adoption. 3DP is predicted to complement current production processes and is anticipated to have a profound effect on the value chain and, therefore, on supply chain (SC) management. Management-related 3DP research has, however, been largely fragmented in terms of analysing the strategic deployment of 3DP and the corresponding effects on performance objectives. The aim of this paper is to identify, define and exemplify typical 3DP deployment strategies pursued.

The approach taken is a critical literature review, synthesising and interpreting past research on cross-industry deployment of 3DP, including illustrative examples. This enabled the development of a framework of current stage knowledge.

Building on past research, the authors propose a conceptual framework to be used as a classification system for 3DP operations, based on process and SC level configurations across different industries. They discuss the potential impact on operations performance objectives and then highlight research gaps, proposing specific research avenues to enhance understanding of the effects of 3DP adoption on SCs.

The proposed framework outlines strategic guidelines for 3DP and provides practitioners with the range of strategic options available for 3DP deployment and anticipated impacts on performance.

The framework can be used to map 3DP deployment at an operational level and identify the likely impact on performance objectives. Relevant implications and a future research agenda are explored.

The purpose of this paper is to understand the impact of cooperative purchasing on buyers’ purchasing power. Purchasing in the humanitarian sector has traditionally been characterized by a low level of coordination due to inter-agency competition for funding, diverging mandates and other organizational differences. Relationships with commercial suppliers have also remained arm's-length and often dormant due to high levels of uncertainty and strict public procurement rules and regulations. However, recent pushes for increased efficiency and effectiveness are driving humanitarian agencies toward cooperative purchasing – a purchasing strategy that is claimed to be highly beneficial for members of the purchasing consortium not least for its ability to increase buyers’ purchasing power. In reality, the effectiveness of the strategy in increasing purchasing power is unclear.

The authors study a single case of several humanitarian organizations aiming to increase their leverage in buying freight forwarding services by joining forces.

Following several incidents during the process, the cooperative purchasing initiative did not contribute to increased power in the case. It was found that in addition to increased volumes, the effect of the strategy on other sources of power such as interconnections is also of importance.

The research is limited to the boundaries of a single case study including the perceptive view of respondents interviewed.

The findings of the study provide insights for organizations aiming to practice cooperative purchasing.

The findings of the study provide insights for organizations aiming to practice cooperative purchasing.