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This paper aims to investigate how organizational learning (OL) affects the development of anticipatory adaptation to climate change in companies. Because the need to learn increases in circumstances of greater uncertainty such as the case of climate change, one of the processes that can explain different levels of anticipatory adaptation to climate change (AACC) by companies is OL.

The research uses a case study design. Following the procedures of qualitative sampling, an exemplary case of organizational adaptation to climate change in a sector that is extremely affected by the impacts of weather events was chosen. Empirical data collection includes semi-structured interviews and the collection of private and public documents. Such data were analyzed through thematic analysis.

The process of OL for anticipatory adaptation to climate change presents substantial differences from the traditional OL process presented by the specialized literature. In particular, the concepts of single- and double-loop learning were challenging to fit into the learning processes required for AACC.

Organizations have historically been working towards the adaption to external unforeseen events, but anticipatory adaptation to climate change presents new challenges and requires new forms of learning. Previous research has examined the interplay between learning and climate change adaptation, especially at the inter-organizational level. By developing research at the organizational level, this paper addresses a gap in the literature and shows that the required learning to adapt to climate change differs from the traditional learning, described in the management literature.

In 2001, two important scientific groups, the International Panel on Climate Change (IPCC), and the National Research Council, published the results of two of the most extensive (and ongoing) research projects on climatic changes. They both express scientific consensus on the fact that anthropogenically induced climatic disruptions are here to stay and that they perhaps represent the most decisive policy issue of our time. A concerted effort to distract and even attack the legitimacy and expertise over this scientific consensus has been quite effective, so much so that to this day, there is no clear federal climate policy in the making. Bill’s (and my) work on “Weapons of Mass Distraction” may prove to be a handy analytic tool to understand this blunt attack on the evidence-base scientific consensus.

The purpose of this paper is to contribute to the theory and practice of supply chain management in terms of how an organisation should structure its supply base to be resilient to supply uncertainties and disruptions. An empirical assessment of supplier response diversity is demonstrated, and the following research question posed: Is response diversity of suppliers positively associated with supply chain resilience, more positively than mere supplier diversity is?

Resilience is operationalised as the maintenance of sales of two food products in 27 southern Finnish retail stores during two distinct disruptions. Response diversity is operationalised as 1) diversity in the personnel sizes of slaughterhouse suppliers of pork under domestic strikes and as 2) evenness in the proportions of imports and domestic supply of food oil under global price volatility. A five-step quantitative assessment is performed.

Response diversity is positively related to the maintenance of sales, more positively than diversity of individual suppliers is.

Response diversity is an advancement to the theory of supply chain resilience and supply base management, and access to big data increases practical potential.

Empirical assessments of response diversity of suppliers provide buyer companies an effective means to enhance their supply base management for resilience.

The proposed approach is useful for teaching and for authorities to enhance food security.

This first assessment of response diversity of supply chain operations presents an important advancement in the theory and practice of supply base management for resilience.

The analysis of the concept of resilience in supply chain management studies mostly focuses on the downstream side of the value chain and tacitly assumes an unlimited supply of raw materials. This assumption is unreasonable for agricultural value chains, as upstream disruptions clearly have a material impact on the availability of raw materials, and indeed, are a common source of supply problems. This paper aims to present a framework for the operationalisation of the concept of socioecological resilience in agricultural value chains that incorporates upstream activities.

A citation network analysis was adopted to review articles. A conceptual framework is then advanced to identify elements of resilience and indicators relevant to tropical agricultural value chains.

There are limited studies that assess resilience in the food chain context. Flexibility, collaboration, adaptability and resourcefulness are key elements for assessing resilience at the individual chain actor level. However, the paper argues that adaptability is the relevant element for the assessment of resilience at an aggregate food system level because it considers the alteration of a system’s state of resilience.

The proposed framework and propositions accommodate stakeholder interactions in the value chain and could serve as a tool to guide the assessment of resilience in agricultural value chains.

This paper is one of the few to extend resilience to cover the socioecological interaction aspects for supply chains that yield the raw materials needed for continuity in channel-wide value creation processes.

Business continuity and disaster recovery are directly associated frameworks which guarantee the continued operations of organisations after a disaster has occurred. Thus, researchers have continued to investigate best practices in this area. It is in this vein that the authors of this study seek to draw attention to what pertains in Ghana and what role the government can play to improve the situation. The purpose of this study is to explore some of the disasters which have been suffered by businesses in Ghana as well as the causes, effects and lessons learnt. The study will also look at business continuity and disaster recovery measures that could have been implemented in the examples provided.

The study follows a literature review approach by reviewing secondary data on both man-made and natural disasters that have affected Ghana in the past decade through the review of literature.

The comprehensive study of the selected disasters indicated the presence of business continuity and disaster recovery measures in some formal institutions; however, the informal sector appeared to have minimal provision for handling disasters.

The authors were limited to the use of the account from the resources used since this study relied on secondary data.

The study indicates that businesses in Ghana must implement business continuity and disaster recovery plans to protect business operations in the event of a disaster.

The study has not been previously published in any other journal. Secondary data for carrying out the study were obtained from other publications including online media platforms in Ghana.

The collision between climate science and climate policy was strikingly manifested during the Bush–Cheney Administration. Based on both the documentary record and direct observation, this chapter reviews multiple means by which the Administration controlled the flow of climate science communication from federal scientists and research programs when Administration officials saw a need to conform science communication with Administration politics. Government secrecy imposed via information control was evident, for example, in the editing of climate program reports; the suppression of official reference to an existing major climate impacts assessment; selective application of control over contacts between government scientists and the media; alteration of congressional testimony; shutting down of government Web sites; “stealth” release of reports to minimize public attention; and concealing a Supreme Court-mandated scientifically based draft document that would have triggered regulation of greenhouse gases to protect public welfare. With these political interventions, the response from the ranks of federal career science managers and research scientists varied, ranging from open criticism, anonymous leaks, and whistleblowing to silence, self-censorship, and active complicity.

This paper aims to develop a framework that could establish and further the terminology of smart city/resilient city discourse in that resilience could support urban “smartness”, a term that is widely argued being not easily measured nor quantifiably assessed.

The qualitative approach was employed, and based on selected keywords, a systematic literature review was carried out to understand the main themes within the smart city and resilient city concepts databases. Upon screening, 86 papers were used and synthesised through the meta-synthesis method using both synthesis approach, meta-aggregation and meta-ethnography that systematically identifies both properties and characteristics, to build an innovative framework as an indicator-based smart/resilience quantification model.

Two novel frameworks are proposed, smart resilient city (SRC) and resilient smart city (RSC), as guidelines regulatory that establish a city's smartness and resilience.

The quantitative research phase is not provided as the framework builds on the exploratory approach in which the model is proposed through the postulation of data definitions.

Although the study's scope was limited to the city, proposed frameworks may be interpreted for other contexts that deal with the topic of resilience and smart.

The established framework proposal would encourage further exploration in context, serving as an inspiration for other scholars, decision-makers, as well as municipalities to keep strengthening smart city through resilience factors.

This paper provides a detailed survey of the greatest dangers facing humanity this century. It argues that there are three broad classes of risks – the “Great Challenges” – that deserve our immediate attention, namely, environmental degradation, which includes climate change and global biodiversity loss; the distribution of unprecedented destructive capabilities across society by dual-use emerging technologies; and value-misaligned algorithms that exceed human-level intelligence in every cognitive domain. After examining each of these challenges, the paper then outlines a handful of additional issues that are relevant to understanding our existential predicament and could complicate attempts to overcome the Great Challenges. The central aim of this paper is to constitute an authoritative resource, insofar as this is possible in a scholarly journal, for scholars who are working on or interested in existential risks. In the author’s view, this is precisely the sort of big-picture analysis that humanity needs more of, if we wish to navigate the obstacle course of existential dangers before us.

Comprehensive literature survey that culminates in a novel theoretical framework for thinking about global-scale risks.

If humanity wishes to survive and prosper in the coming centuries, then we must overcome three Great Challenges, each of which is sufficient to cause a significant loss of expected value in the future.

The Great Challenges framework offers a novel scheme that highlights the most pressing global-scale risks to human survival and prosperity. The author argues that the “big-picture” approach of this paper exemplifies the sort of scholarship that humanity needs more of to properly understand the various existential hazards that are unique to the twenty-first century.