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Inventory management systems in health-care supply chains (HCSC) have been pushed to breaking point by the COVID-19 pandemic. Unanticipated demand shocks due to stockpiling of medical supplies caused stockouts, and the stockouts triggered systematic supply chain (SC) disruptions inconceivable for risk managers working individually with limited information about the pandemic. The purpose of this paper is to respond to calls from the United Nations (UN) and World Health Organization (WHO) for coordinated global action by proposing a research agenda based on a review of current knowledge and knowledge gaps on the role of collaboration in HCSCs in maintaining optimal stock levels and reinforcing resilience against stockout disruptions during pandemics.

A systematic review was conducted, and a total of 752 articles were analyzed.

Collaborative planning, forecasting and replenishment practices are under-researched in the HCSC literature. Similarly, a fragmented application of extant SC collaborative risk management capabilities undermines efforts to enhance resilience against systematic disruptions from medical stockouts. The paucity of HCSC articles in humanitarian logistics and SC journals indicates a need for more research interlinking two interdependent yet critical fields in responding to pandemics.

Although based on an exhaustive search of academic articles addressing HCSCs, there is a possibility of having overlooked other studies due to search variations in language controls, differences in publication cycle time and database search engines.

The paper relies on COVID-19's uniqueness to highlight the limitations in optimization and individualistic approaches to managing medical inventory and stockout risks in HCSCs. The paper proposes a shift from a fragmented to holistic application of relevant collaboration practices and capabilities to enhance the resilience of HCSCs against stockout ripple effects during future pandemics. The study propositions and suggestion for an SC learning curve provide an interdisciplinary research agenda to trigger early preparation of a coordinated HCSC and humanitarian logistics response to future pandemics.

This paper aims to explore the problems of managing superprojects and identifies how a different approach to controlling them can reduce the incidence of cost and time overruns and benefit shortfalls.

Literature review accompanied by conceptual analysis.

Project cost and timing overruns and benefit shortfalls are very frequent in superprojects. These problems can be ascribed partly to the way in which they are planned is not taken into account in designing and implementing control systems, particularly the governance processes and the information they have available.

This paper has serious implications for those designing control processes, governance and information management for superprojects. It suggests that if a new approach is taken, fewer superprojects will suffer from cost overruns and benefit shortfalls because remedial actions will be taken earlier for projects, which are experiencing problems, while learning will be fed back to those planning new projects.

There will be saving of public money and reduced deferment of benefits that normally result from failed or delayed projects and reduced allocation of large incremental budgets dedicated to resolving problems.

The taxonomy of different types of superprojects is original, as is the idea of ambidextrous control, and the diagnosis of failure reasons lying in the nature of control and governance processes, and the lack of relevant information available during the control process.

As companies extend supply chains via direct delivery to consumers, supply chain efficiency depends upon the usability of the online ordering system. The purpose of this paper is to focus on customer order cycle efficiency gains through the “learnability” of web sites.

The paper analyzes empirical data using nonlinear regression from seven firms and over 4,000 customers to examine how order time – an important performance metric – changes within an online grocery ordering environment.

The evidence supports various forms of power‐law learning for web‐based ordering (i.e. the first few orders involve substantial learning). However, significant differences exist between web sites, and a portion of the ordering time may be irreducible.

The research lends insight into how web sites influence last‐mile supply chain efficiency via differing learning rates in the order cycle. Perceptual measures were used in order to assess customer beliefs.

Online order entry serves as the starting point for many supply chain actions. Managers can use this research to benchmark their web site performance and subsequently take action to improve the efficiency and service of their supply chain.

The empirically validated model allows researchers and web‐based businesses to utilize the provided learning rate measure as an ease of use performance metric.

Drawing on organizational learning and dynamic capabilities literature, this study aims to explore how suppliers from traditional emerging economies (STEE) can acquire, assimilate and use new knowledge essential for the development of production and marketing capabilities. These capabilities then facilitate suppliers in climbing the value chain from B-to-B to B-to-C.

The study adopted a longitudinal and multiple case study design to examine the practices of suppliers operating in a traditional emerging economy setting. This study selected Pakistan textile industry as an empirical setting, which is a predominantly supplier market for global buyers. Data sources entail semi-structured interviews with top executives and senior-level managers in four case firms and secondary data obtained from diverse sources.

The study identified transitionary phases of capabilities development that are facilitated by boundary-spanning knowledge acquisition and transformation in a dynamic manner. These capabilities are essential for a supplier’s entry into downstream international markets (i.e. launching its own products/brands in the end consumers’ market).

The findings could help managers in STEEs to understand the strategic importance of supply chain ties in their learning and capabilities development. It also provides strategic insights on what, how and why involved parties do engage over an extended period of time. Moreover, the findings of this study could help other firms to know and adopt the right type of technology(s) and systems that can help them reduce the technological gap in producing and marketing market-winning products.

This study advances the recent academic discussion that focusses on learning by supplying and the value-chain movement of suppliers (i.e. B-to-C) from their B-to-B engagements. The findings identified the vital and beneficial role of long-term relationships with global value chain partners in learning and capabilities development that led to value creation in the traditional emerging economy.

Learning within the supply chain is widely considered to provide the basis for enhanced competitive advantage. The purpose of this paper is to explore the theory and current practice of organizational learning in UK construction supply chains.

A qualitative research strategy is followed for this exploration of supply chain management and organizational learning. Research enquiry draws on semi‐structured interviews with key construction supply chain stakeholders. The semi‐structure interviews are recorded, transcribed and analysed via qualitative data analysis software.

Careful examination of the transcripts reveal that whilst supply chain management practice in construction is limited, key schools of organizational learning are similarly underdeveloped. Findings disclose construction supply chain organizations routinely employ learning strategies that are best described as reactionary and interventionist.

Research was limited to the UK construction industry and represents the assessment and evaluation of construction clients and first‐tier supply chain members working within construction framework agreements. The perspectives of construction SMEs were out with the data set.

Underdeveloped organizational learning practices within supply chains present a significant barrier to the development and diffusion of supply chain management theory and practice in construction. In practical terms, the attainment of competitive advantage and the development of competing supply chain in construction would be extremely limited.

Connecting organizational learning to the development and diffusion of supply chain management has been largely overlooked within the construction management literature. The research makes two notable contributions. First, the adaptation of a pragmatic and holistic organizational learning framework for the appraisal of learning strategies and second an evaluation of organizational learning in construction supply chains.

The purpose of this paper is to understand the concept of supply chain capital, which is formed through managing knowledge in supply chains on a long‐term basis.

The development of a conceptual model describing supply chain capital is achieved through extensive literature review, past research carried out by the authors, and past experiences of the authors within the construction industry.

The paper develops a conceptual model that provides a link between construction organisations and their learning activities as part of a project supply chain, resulting in creation of a learning organisation and a learning supply chain. The model shows that the learning supply chains consist of learning organisations which would create supply chain capital in order to promote innovation and creativity by managing knowledge in supply chains on a long‐term basis.

In addition to the establishment of the model, the paper suggests that the learning organisations would also establish a virtual knowledge transfer among themselves and the supply chains in which they are involved. The paper also suggests that, as unit of competition changes from organisation verses organisation to chain verses chain under supply chain management, supply chain capital will become increasingly important for sustaining competition within the construction industry. Therefore, supply chain capitals are to be created through managing knowledge in supply chains on a long‐term basis, using the proposed conceptual model. The model also facilitates innovation and creativity, essentially required to thrive in the downturned business environment of today in many countries in different parts of the world.

The paper's authors are the first to come up with the term “supply chain capital” in the research domain and to have developed the conceptual model for the construction industry.

Allyn Young′s lectures, as recorded by the young Nicholas Kaldor, survey the historical roots of the subject from Aristotle through to the modern neo‐classical writers. The focus throughout is on the conditions making for economic progress, with stress on the institutional developments that extend and are extended by the size of the market. Organisational changes that promote the division of labour and specialisation within and between firms and industries, and which promote competition and mobility, are seen as the vital factors in growth. In the absence of new markets, inventions as such play only a minor role. The economic system is an inter‐related whole, or a living “organon”. It is from this perspective that micro‐economic relations are analysed, and this helps expose certain fallacies of composition associated with the marginal productivity theory of production and distribution. Factors are paid not because they are productive but because they are scarce. Likewise he shows why Marshallian supply and demand schedules, based on the “one thing at a time” approach, cannot adequately describe the dynamic growth properties of the system. Supply and demand cannot be simply integrated to arrive at a picture of the whole economy. These notes are complemented by eleven articles in the Encyclopaedia Britannica which were published shortly after Young′s sudden death in 1929.

Organizations have been investing heavily in building information links with their suppliers and buyers in order to reduce costs, lead times and quality problems, and improve on time customized delivery. At present, many of these firms are unsure of the degree to which this investment is necessary. A dynamic model is presented which builds on the impact of the evolving interactions of competitors’ activities and the learning which emanates over time. This dynamic model can be used by organizations to determine the level of expenditure necessary to remain competitive. In addition, this model brings out the fact that the systems’ learning will always lead to greater automation in the management of materials; however, the cost would vary according to the interplay of these two factors. This model should also help logistics managers design more effective information systems for their supply chains.

This paper discusses how learning-by-doing (LBD) criterion can be used to evaluate the sustainability of supply chains. This paper assesses the impacts of teamwork on the LBD criterion. Besides, the effect of the internship of new labors on the LBD criterion is discussed.

The repeat of a task leads to a gradual improvement in the efficiency of production systems. LBD occurs by accumulating knowledge and skills in multiple periods. LBD can be used to study changes in the efficiency. Efficiency can be improved by accumulating knowledge and skills. In this paper, the LBD criterion is projected on learning curve (LC) models. Furthermore, the LC models are fitted to the supply chains. Each supply chain may have a unique LC model. A minimum difference is set between the current performance of decision making unit (DMU) and the estimated performance of DMU based on DMU's LC. Hence, a point in which the LBD occurs is determined.

This paper develops an inverse network dynamic data envelopment analysis (DEA) model to assess the sustainability of supply chains DMUs. Findings imply that the LBD criterion plays an important role in assessing the sustainability of supply chains. Furthermore, managers should increase the internships and teamwork to get more benefit from the LBD criterion.

For the first time, this paper uses the LBD criterion to assess the sustainability of supply chains given the LC equations.

To explore the mechanism that shapes firms' supply chain learning (SCL) practices, this study examines the relationship between firms' knowledge network embeddedness and their SCL practice in a supply chain network, as well as the moderating role of supply chain network cohesion in this relationship.

Using patent application data and supply chain partner information from 869 listed firms between 2011 and 2020 in China, this study uses fixed-effect regression models to reduce endogeneity problems by controlling for individual heterogeneity effects that cannot be observed over time.

Firms' knowledge network embeddedness has an inverted U-shaped effect on their SCL, and this non-linear relationship is conditional on supply chain network cohesion, which strengthens (weakens) the positive (negative) effect of knowledge network embeddedness on SCL.

The findings show that managers can reconcile the downsides of knowledge network embeddedness on SCL by fostering greater supply chain network cohesion.

Drawing from the network pluralism perspective, this study contributes to supply chain literature by extending the research context of the antecedents of SCL from a single-network setting to a dual-network setting. It extends the network pluralism perspective by showing that not only positive effects but also negative effects of network embeddedness can transfer from one network to another.