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The purpose of this paper is to critically analyze whether supply networks may be validly treated as complex adaptive systems (CAS). Finding this to be true, the paper turns into the latest concerns of complexity science like Pareto distributions to explain well‐known phenomena of extreme events in logistics, like the bullwhip effect. It aims to introduce a possible solution to handle these effects.

The method is a comparative analysis of current literature in the fields of logistics and complexity science. The discussion of CAS in supply networks is updated to include recent complexity research on power laws, non‐linear dynamics, extreme events, Pareto distribution, and long tails.

Based on recent findings of complexity science, the paper concludes that it is valid to call supply networks CAS. It then finds that supply networks are vulnerable to all the nonlinear and extreme dynamics found in CAS within the business world. These possible outcomes have to be considered in supply network management. It is found that the use of a neural network model could work to manage these new challenges.

Since, smart parts are the future of logistics systems, managers need to worry about the combination of human and smart parts, resulting design challenges, the learning effects of interacting smart parts, and possible exacerbation of the bullwhip effect. In doing so, the paper suggests several options concerning the design and management of supply networks.

The novel contribution of this paper lies in its analysis of supply networks from a new theoretical approach: complexity science, which the paper updates. It enhances and reflects on existing attempts in this field to describe supply networks as CAS through the comprehensive theoretical base of complexity science. More specifically, it suggests the likely vulnerability to extreme outcomes as the “parts” in supply networks become smarter. The paper also suggests different ways of using a neural network approach for their management – depending on how smart the logistics parts actually are.

The purpose of this paper is to correct Rozeff (2010). He contends that fractional-reserve banking is legitimate and efficacious. The authors demonstrate that it is not.

The design of this paper is to quote widely from Rozeff (2010) and then to expose his errors of analysis.

The authors demonstrate that fractional-reserve banking is neither legitimate nor efficacious.

Money is the lifeblood of the economy. If so, then banking is the marrow of the economy, since it is from that sector that money arises in the first place. It is crucially important, then, that the monetary system be based on sound principles. Fractional-reserve banking is a violation of these sound principles. Therefore, it is valuable to demonstrate that this is indeed the case.

Supply chains have become a strategic strength to many firms due to the nature of the globalization of business. The past roles of supply chain managers have changed dramatically and now also include various new duties that will enhance firm competitiveness due to their boundary spanning nature and the new focus of learning organizations. The paper aims to discuss these issues.

This was a theoretically developed paper exploring trust, learning organizations, and supply chains.

Researchers are now focussing on the relationship among the supply chain network through the paradigm of relational marketing as the governance structures of contractual arrangements globally cannot be anticipated.

The research through the lens of relational marketing explores how supply chain managers’ core duties are now compounded by global/cultural nuances in respect to implicit knowledge acquisition and relationship development through strong-form trust.

The SARS-CoV-2 pandemic has had severe effects on economies worldwide and, in particular, on public institutions that must keep their operations running while supply chains are interrupted. The purpose of this study is to examine how public institutions act during a pandemic to ensure the security of supply.

The distinct focus is if, why and how public institutions have adopted additive manufacturing (AM) – a production technology colloquially known as three-dimensional printing in which a product is created by joining raw material layer by layer based on a digital model (computer-aided design [CAD] file) of the product – in reaction to supply disruptions caused by the SARS-CoV-2 pandemic. For this purpose, four cases within the context of the pandemic supply disruption are used as the units of analysis.

The findings are twofold: public institutions reacted, on the one hand, with a behavioral solution approach, trying to solve the supply disruption with new or changed forms of cooperation and collaboration. On the other hand, public institutions used a technical solution approach (TSA) as a supply disruption response and intensified their use of AM.

This research derives an implications model that focuses on the TSA. Considering the ex ante and ex post phases of the disruption, several effects of AM on resilience are identified. The most relevant is the long-term learning effect (i.e. AM data created during this disruption might also help in a new disruption).

Practitioners who act under extreme pressure and uncertainty are informed by cases that have managed to close bottleneck situations with either a behavioral or TSA. Specific strategies are given for how public buyers could use AM within a pandemic situation to mitigate supply bottlenecks, such as increasing their robustness by localizing sourcing and increasing agility by combining traditional and additive supply sources. Additionally, insights are provided into how public organizations can increase their level of preparedness by including disruption paragraphs, establishing CAD databases, in contract clauses and keeping reserve contracts with AM service providers.

This research contrasts behavioral and technical solution concepts for a pandemic in the public sector. Thus, it provides insights into the relative benefits of AM and causes and effect with regard to how AM affects supply robustness and agility.

The purpose of this paper is to examine empirically, an industry development paradox, using embryonic literature in the area of strategic supply chain management, together with innovation management literature. This study seeks to understand how, forming strategic supply chain relationships, and developing strategic supply chain capability, influences beneficial supply chain outcomes expected from utilizing industry-led innovation, in the form of electronic business solutions using the internet, in the Australian beef industry. Findings should add valuable insights to both academics and practitioners in the fields of supply chain innovation management and strategic supply chain management, and expand knowledge to current literature.

This is a quantitative study comparing innovative and non-innovative supply chain operatives in the Australian beef industry, through factor analysis and structural equation modeling using PAWS Statistical V18 and AMOS V18 to analyze survey data from 412 respondents from the Australian beef supply chain.

Key findings are that both innovative and non-innovative supply chain operators attribute supply chain synchronization as only a minor indicator of strategic supply chain capability, contrary to the literature; and they also indicate strategic supply chain capability has a minor influence in achieving beneficial outcomes from utilizing industry-led innovation. These results suggest a lack of coordination between supply chain operatives in the industry. They also suggest a lack of understanding of the benefits of developing a strategic supply chain management competence, particularly in relation to innovation agendas, and provides valuable insights as to why an industry paradox exists in terms of the level of investment in industry-led innovation, vs the level of corresponding benefit achieved.

Results are not generalized due to the single agribusiness industry studied and the single research method employed. However, this provides opportunity for further agribusiness studies in this area and also studies using alternate methods, such as qualitative, in-depth analysis of these factors and their relationships, which may confirm results or produce different results. Further, this study empirically extends existing theoretical contributions and insights into the roles of strategic supply chain management and innovation management in improving supply chain and ultimately industry performance while providing practical insights to supply chain practitioners in this and other similar agribusiness industries.

These findings confirm results from a 2007 research (Ketchen et al., 2007) which suggests supply chain practice and teachings need to take a strategic direction in the twenty-first century. To date, competence in supply chain management has built up from functional and process orientations rather than from a strategic perspective. This study confirms that there is a need for more generalists that can integrate with various disciplines, particularly those who can understand and implement strategic supply chain management.

Possible social implications accrue through the development of responsible government policy in terms of industry supply chains. Strategic supply chain management and supply chain innovation management have impacts to the social fabric of nations through the sustainability of their industries, especially agribusiness industries which deal with food safety and security. If supply chains are now the competitive weapon of nations then funding innovation and managing their supply chain competitiveness in global markets requires a strategic approach from everyone, not just the industry participants.

This is original empirical research, seeking to add value to embryonic and important developing literature concerned with adopting a strategic approach to supply chain management. It also seeks to add to existing literature in the area of innovation management, particularly through greater understanding of the implications of nations developing industry-wide, industry-led innovation agendas, and their ramifications to industry supply chains.

Recent rapid pace in the introduction of innovations has made adopting new technologies, such as those used for electronic procurement, a routine practice. But successful technology adoption depends on a multitude of factors, including those related to the adopter, to the technology, to the provider and the network within which they operate. Without careful consideration of these factors, effectiveness of benchmarking of technology adoptions may be remiss of predictable outcomes. The paper aims to aid in understanding when and how benchmarking applies to technology adoptions by introducing a new conceptual framework.

The paper combines facets of established theories of innovation adoption to develop a new broad‐based framework. It then applies the framework to develop propositions on the adoption of two distinct types of e‐procurement technologies (EPT), namely electronic data interchange and online auctions.

Three prominent adoption theories that explain innovation adoption are highlighted and it is noted that while useful, on their own, these theories may have limited explanatory power. These paradigms are leveraged to develop an interlocked framework that helps better explain the factors that influence innovation adoption. The factors are categorized into four groups, namely that of the technology, the adopting firm, its trading partners and the network within which it operates.

The paper's conceptual hypotheses need to be empirically validated in a later study.

The paper suggests that application of proper benchmarking practices that are reflective of the technology, the adopter, the provider, and network factors.

This paper fulfils a need to study how benchmarking of innovation adoptions in general, and for EPT in particular, can be made more effective by applying a multi‐dimensional perspective on their adoption.